Snowflake

Design and scale security capabilities and develop AI/ML security platforms to protect multi-cloud products. | Bachelor's degree and 5+ years software development with proficiency in Python, Java, or Go and strong security software design background. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Software Engineer for our Anti-Abuse team within Security Foundations. This team is responsible for protecting Snowflake and our customers from abuse on the Snowflake platform — building foundational security primitives across a complex multi-cloud environment to combat fraud, account takeovers, data exfiltration, and AI security threats at the scale of Snowflake’s hyper-growth. AS A SENIOR SOFTWARE ENGINEER, SECURITY FOUNDATIONS AT SNOWFLAKE, YOU WILL: Design, build, and scale security-by-default capabilities that protect Snowflake products across a complex multi-cloud environment Develop intelligent security platforms and services that leverage AI/ML and risk scoring to identify, prioritize, and respond to security threats and policy violations Build real-time detection and prevention systems to defend against account compromise, AI abuse, and data exfiltration through adaptive enforcement and granular policy controls Create security intelligence and monitoring capabilities that detect suspicious account & user activity, generate actionable insights, and enable timely response Partner across Security, Engineering, and Product teams to define security strategy, influence product design, and drive adoption of secure engineering practices Raise the engineering bar by setting standards for system design, code quality, operational excellence, and scalable security architecture within the Security Foundations organization OUR IDEAL SENIOR SOFTWARE ENGINEER, SECURITY FOUNDATIONS WILL HAVE: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience 5+ years of experience in software development with one or more of the following: JavaScript, Java, Python, C, C++, or Go Proficiency in Python, SQL, or a similar language for building detections and data pipelines Experience designing, testing, and maintaining software solutions with a security focus A track record of leading projects independently and setting technical direction BONUS POINTS FOR THE FOLLOWING: Master's degree or PhD in Computer Science or a related technical field Experience working with infrastructure across major cloud providers (AWS, GCP, Azure) Hands-on experience with security primitives including static analysis, dynamic analysis, authentication and access management, DDoS mitigation, or security scanning Background in secure software development lifecycle (SDLC) practices Strong interpersonal and communication skills for cross-functional partnerships WHY JOIN OUR ANTI-ABUSE TEAM AT SNOWFLAKE? The Anti-Abuse team sits at the intersection of security engineering and platform scale — you’ll be building foundational capabilities that protect millions of customers across every cloud, rather than maintaining legacy point solutions. You’ll have real influence over the roadmap and the opportunity to work on some of the hardest adversarial engineering challenges in the industry: fraud, account takeover, data exfiltration, and emerging AI security threats. Our culture is built on ownership and collaboration. Every engineer has an equal opportunity to innovate, drive impact, and grow. If you’re energized by working at the frontier of security and data — where “get it done” means building things that last — this is where you want to be. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Serve as primary technical resource for sales, conducting discovery, demos, POCs, and collaborating with sales and product teams. | Requires 5+ years sales engineer experience, deep observability and cloud-native tech knowledge, and strong communication skills. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. As a Senior Solutions Engineer for Observe, you will play a critical, highly-visible, role within our organization, serving as the primary technical resource for our Sales team. You will be responsible for driving the technical closure of sales opportunities by demonstrating the value of Observe to prospective customers. This role requires a blend of deep technical knowledge, strong presentation skills, and a customer-focused approach. KEY RESPONSIBILITIES: • Technical Discovery and Presentation: Conduct in-depth technical discovery sessions with prospects to understand their current environment, challenges, and specific observability requirements. Tailor and deliver compelling product demonstrations and technical presentations that showcase how our solution addresses their needs. • Proof of Concepts (POCs): Design, scope, and manage technical evaluations and Proof of Concepts, ensuring the successful setup and demonstration of value within the customer's environment. Document findings and present clear, persuasive results back to the customer. • Sales Team Support: Partner closely with Account Executives to develop and execute technical sales strategies. Act as the technical subject matter expert throughout the sales cycle, from initial contact to final contract. • Feedback and Product Collaboration: Serve as the voice of the customer to the Product Management and Engineering teams, providing crucial feedback on product capabilities, market needs, and competitive landscape. • Content and Training: Develop and maintain technical sales collateral, including demo environments, presentations, and best practice guides. Deliver technical training to the broader Sales organization. • Travel: Ability to travel to client sites and industry events as required. QUALIFICATIONS : Required • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • 5+ years of experience as a Sales Engineer or Solutions Architect in the software industry. • Deep technical understanding and practical experience with modern Observability concepts (metrics, logging, tracing) and tools (e.g., Prometheus, OpenTelemetry, Grafana, ELK Stack). • Familiarity with cloud-native technologies (Kubernetes, Docker, Microservices) and major cloud platforms (AWS, Azure, GCP). • Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Preferred • Experience selling to Developer, DevOps, and Site Reliability Engineering (SRE) personas. • Prior experience in a fast-paced, high-growth Observability or Application Performance Monitoring (APM) company. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until September 22, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: • This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562. • Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Serve as primary technical resource for sales by conducting discovery, demos, and managing proofs of concept to drive sales closure. | Requires 5+ years sales engineer experience, deep observability and cloud-native tech knowledge, strong communication skills. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. As a Senior Solutions Engineer for Observe, you will play a critical, highly-visible, role within our organization, serving as the primary technical resource for our Sales team. You will be responsible for driving the technical closure of sales opportunities by demonstrating the value of Observe to prospective customers. This role requires a blend of deep technical knowledge, strong presentation skills, and a customer-focused approach. KEY RESPONSIBILITIES: • Technical Discovery and Presentation: Conduct in-depth technical discovery sessions with prospects to understand their current environment, challenges, and specific observability requirements. Tailor and deliver compelling product demonstrations and technical presentations that showcase how our solution addresses their needs. • Proof of Concepts (POCs): Design, scope, and manage technical evaluations and Proof of Concepts, ensuring the successful setup and demonstration of value within the customer's environment. Document findings and present clear, persuasive results back to the customer. • Sales Team Support: Partner closely with Account Executives to develop and execute technical sales strategies. Act as the technical subject matter expert throughout the sales cycle, from initial contact to final contract. • Feedback and Product Collaboration: Serve as the voice of the customer to the Product Management and Engineering teams, providing crucial feedback on product capabilities, market needs, and competitive landscape. • Content and Training: Develop and maintain technical sales collateral, including demo environments, presentations, and best practice guides. Deliver technical training to the broader Sales organization. • Travel: Ability to travel to client sites and industry events as required. QUALIFICATIONS : Required • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • 5+ years of experience as a Sales Engineer or Solutions Architect in the software industry. • Deep technical understanding and practical experience with modern Observability concepts (metrics, logging, tracing) and tools (e.g., Prometheus, OpenTelemetry, Grafana, ELK Stack). • Familiarity with cloud-native technologies (Kubernetes, Docker, Microservices) and major cloud platforms (AWS, Azure, GCP). • Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Preferred • Experience selling to Developer, DevOps, and Site Reliability Engineering (SRE) personas. • Prior experience in a fast-paced, high-growth Observability or Application Performance Monitoring (APM) company. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until September 22, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: • This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562. • Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Serve as primary technical resource for sales by conducting technical discovery, demos, and managing proofs of concept to drive sales closure. | Requires 5+ years sales engineering experience, deep knowledge of observability tools, cloud-native technologies, and strong communication skills. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. As a Senior Solutions Engineer for Observe, you will play a critical, highly-visible, role within our organization, serving as the primary technical resource for our Sales team. You will be responsible for driving the technical closure of sales opportunities by demonstrating the value of Observe to prospective customers. This role requires a blend of deep technical knowledge, strong presentation skills, and a customer-focused approach. KEY RESPONSIBILITIES: • Technical Discovery and Presentation: Conduct in-depth technical discovery sessions with prospects to understand their current environment, challenges, and specific observability requirements. Tailor and deliver compelling product demonstrations and technical presentations that showcase how our solution addresses their needs. • Proof of Concepts (POCs): Design, scope, and manage technical evaluations and Proof of Concepts, ensuring the successful setup and demonstration of value within the customer's environment. Document findings and present clear, persuasive results back to the customer. • Sales Team Support: Partner closely with Account Executives to develop and execute technical sales strategies. Act as the technical subject matter expert throughout the sales cycle, from initial contact to final contract. • Feedback and Product Collaboration: Serve as the voice of the customer to the Product Management and Engineering teams, providing crucial feedback on product capabilities, market needs, and competitive landscape. • Content and Training: Develop and maintain technical sales collateral, including demo environments, presentations, and best practice guides. Deliver technical training to the broader Sales organization. • Travel: Ability to travel to client sites and industry events as required. QUALIFICATIONS : Required • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • 5+ years of experience as a Sales Engineer or Solutions Architect in the software industry. • Deep technical understanding and practical experience with modern Observability concepts (metrics, logging, tracing) and tools (e.g., Prometheus, OpenTelemetry, Grafana, ELK Stack). • Familiarity with cloud-native technologies (Kubernetes, Docker, Microservices) and major cloud platforms (AWS, Azure, GCP). • Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Preferred • Experience selling to Developer, DevOps, and Site Reliability Engineering (SRE) personas. • Prior experience in a fast-paced, high-growth Observability or Application Performance Monitoring (APM) company. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until September 22, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: • This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562. • Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Lead technical architecture and delivery of complex AI/ML solutions on Snowflake, advising customers and driving platform strategy. | 8+ years in solutions architecture or senior technical roles with deep Snowflake and AI/ML platform experience, plus strong SQL and Python skills. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory • Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations • Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives • Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies • Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery • Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment • Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management • Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery • Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams Cross-Functional Influence • Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction • Mentor and provide technical direction to junior architects and consultants within engagements • Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization OUR IDEAL SENIOR TECHNICAL ARCHITECT WILL HAVE: • BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience • 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role • Demonstrated track record leading architecture decisions on large-scale, enterprise data and AI platforms • Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance • Expert-level understanding of the full data analytics stack, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layers • Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment, monitoring, and ongoing governance • Proficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership • Experience designing and implementing MLOps frameworks and model lifecycle management at enterprise scale • Proven ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics BONUS POINTS FOR THE FOLLOWING: • Hands-on experience with generative AI and large language model (LLM) use cases in production • Experience building and scaling a Center of Excellence or establishing architectural standards across a large enterprise • Background in the services organization of a technology product company • AWS, Google Cloud, or Microsoft Azure Advanced certification(s) • Snowflake SnowPro Advanced Certification(s) • Deep industry vertical expertise (e.g., Financial Services, Healthcare, Media and Entertainment) • Experience as a technical lead on multi-team or multi-vendor delivery programs WHY JOIN OUR SERVICES DELIVERY TEAM AT SNOWFLAKE? Services Delivery at Snowflake puts you at the intersection of enterprise-scale data architecture and the most important AI transformation work happening in the market today. At this level, you'll have real influence, not just over individual engagements, but over how we build and deliver as an organization. The problems are genuinely hard, the customers are sophisticated, and the work directly shapes how some of the world's largest companies run their data and AI platforms. If you want a senior role where your architectural decisions have organizational impact, where you're constantly working at the edge of what Snowflake can do, and where you're surrounded by people who push each other to get better, this is it. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• The estimated base salary range for this role is $128,000 - $168,000. • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Lead cloud partner co-sell strategy and technical enablement for Snowflake integrations with major cloud providers. | Requires strong cloud partnership management, technical sales engineering, and program leadership skills with experience in Microsoft Azure and other hyperscalers. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership. KEY RESPONSIBILITIES: Partner Strategy & GTM Program Ownership • Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives. • Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value. • Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings that align Snowflake use cases to cloud partner product portfolios and commercial programs. • Lead joint planning cadences with cloud partner alliance teams, translating partner strategy into actionable quarterly and annual execution plans. • Identify whitespace opportunities, product gaps, and integration priorities; synthesize partner field feedback into structured recommendations for Snowflake product and GTM teams. • Represent Snowflake at partner events, conferences, and executive forums — including AWS re:Invent, Google Next, and Microsoft Build — as a credible voice across both technical and business audiences. Top Account Co-Sell Execution • Drive joint account planning with field AEs and cloud Alliances teams against top-account lists, establishing 18+ month account strategies that integrate Snowflake and cloud partner resources. • Lead and manage the full co-sell lifecycle — from opportunity identification and qualification through technical win and production deployment — with clear milestone ownership and stakeholder communication throughout. • Frame and communicate the business value of joint Snowflake + cloud partner solutions to executive and technical stakeholders at target accounts, tailoring the narrative to industry context and customer objectives. • Deliver packaged POCs and customer workshops built around high-impact co-sell plays — including Open Lakehouse (S3/Iceberg, Fabric OneLake, BigLake), Cortex AI + cloud LLM services (Anthropic/Cortex, Azure OpenAI, Vertex AI), and Data Engineering pipelines. • Partner with SI teams on joint POC delivery and coordinate cross-functional resources (product, professional services, Alliances) to remove blockers and accelerate time to go-live. • Conduct and participate in joint Quarterly Business Reviews (QBRs) with cloud partner and Snowflake field leadership, presenting pipeline health, consumption trends, and next-period priorities. Cloud Partner Field Enablement • Design and deliver enablement programs for cloud SA and partner field teams across AWS, Azure, and GCP — building both technical competency and commercial confidence in positioning Snowflake co-sell plays. • Build and sustain cloud SA champion networks through structured, account-based up-skilling covering product features, industry verticals, enterprise architecture patterns, and value-based selling frameworks. • Support cloud partner COE maturity development by providing architecture guidance, deployment best practices, and access to Snowflake technical and GTM resources. • Publish technical blogs, whitepapers, quickstarts, and case studies that document joint integration patterns, customer outcomes, and co-sell plays — creating reusable assets that multiply field impact beyond individual engagements. • Develop and maintain L100/L200 enablement decks and partner-facing narratives that translate complex technical integrations into business-relevant co-sell stories. Technical Depth — Cortex AI, Iceberg, and Cross-Cloud Architectures • Lead hands-on Cortex AI enablement with cloud partner field teams, covering Cortex LLM, Search, Analyst, Fine Tuning, and Anthropic/Cortex co-sell plays relevant to each cloud's AI portfolio. • Architect and deliver cross-cloud Iceberg and Lakehouse solutions integrating Snowflake with AWS S3/Iceberg, Microsoft Fabric OneLake, and Google BigLake — demonstrating interoperability across the open data ecosystem. • Enable Openflow, Snowpark, and Snowpark Container Services (SPCS) deployment patterns in joint customer engagements, with a focus on production-readiness and scalability. • Map Snowflake workloads to cloud partner product portfolios (AWS SageMaker, Bedrock, Glue, MSK; Azure Data Factory, Power BI, Copilot, AI Studio; GCP Vertex AI, Gemini, BigQuery) to craft technically grounded co-sell narratives that hold up in front of both SAs and architects. • Support customers from technical win through production deployment, ensuring that go-live results in measurable, sustained consumption. Mentorship • Mentor junior Solutions Engineers on cloud partner engagement models, co-sell execution, business value framing, and technical delivery. • Elevate team capability across technical depth, GTM execution, and partner program management by sharing playbooks, lessons learned, and reusable assets. EDUCATIONAL BACKGROUND • Bachelor’s Degree: Most roles require a degree in Business, Marketing, Computer Science, Data Science, or a related analytical field. • Advanced Degrees: An MBA or a Master’s in Data Analytics is often preferred for senior-level or strategic positions. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until July 12, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: • This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562. • Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Design and deliver AI/ML solutions on Snowflake platform for customers, providing technical leadership and best practices. | 5+ years in technical customer-facing roles with strong AI/ML lifecycle, cloud platform, and scripting skills. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are seeking experienced professionals with a strong background in Artificial Intelligence, Machine Learning, and Cloud Architecture to join our Services Delivery team to help create exciting new offerings and capabilities for our customers! In this strategic role, you will help customers expand their use of the Snowflake Data Cloud to bring AI/ML pipelines from ideation to full production. Leveraging Snowflake’s native features and extensive partner ecosystem, you will advise clients on best practices for scaling production-ready workloads. You will design tailored AI/ML solutions, coordinate closely with customer teams and Systems Integrators, and provide the technical leadership and oversight needed to ensure successful outcomes. AS A SR. SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL: • Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack. • Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery. • Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements. • Work hands-on where needed using SQL, Python, and Cortex AI features to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the AI/ML workload. • Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them • Provide guidance on how to resolve customer-specific technical challenges. • Support other members of the Services Delivery team develop their expertise. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing. OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE: • Minimum 5 years experience working with customers in a pre-sales or post-sales technical role. • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos • Thorough understanding of the common generative AI and agent lifecycles including document ingestion, vector embedding selection, llm selection and optimization, genAI monitoring and evaluation techniques. • Thorough understanding of the complete ML life-cycle including feature engineering, model development, model deployment and model management. • Strong understanding of AI/MLOps, coupled with technologies and methodologies for deploying and monitoring models and agents. • Experience and understanding of at least one public cloud platform (AWS, Azure or GCP) • Experience with at least one AI/ML platform such as AWS Sagemaker, Databricks, GCP and Vertex AI, AzureML, Dataiku, Datarobot, etc. • Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala. • Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn, LangChain/LangGraph, LlamaIndex or similar. • University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience BONUS POINTS FOR HAVING: • Experience with Databricks/Apache Spark • Experience implementing data pipelines using ETL tools • Proven success at enterprise software • Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• The estimated base salary range for this role is $160,000 - $210,000. • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Lead technical architecture and delivery of complex AI/ML solutions on Snowflake, advising customers and driving platform strategy. | Requires 8+ years in solutions architecture or senior technical roles with deep Snowflake and AI/ML platform experience. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory • Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations • Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives • Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies • Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery • Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment • Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management • Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery • Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams Cross-Functional Influence • Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction • Mentor and provide technical direction to junior architects and consultants within engagements • Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization OUR IDEAL SENIOR TECHNICAL ARCHITECT WILL HAVE: • BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience • 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role • Demonstrated track record leading architecture decisions on large-scale, enterprise data and AI platforms • Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance • Expert-level understanding of the full data analytics stack, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layers • Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment, monitoring, and ongoing governance • Proficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership • Experience designing and implementing MLOps frameworks and model lifecycle management at enterprise scale • Proven ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics BONUS POINTS FOR THE FOLLOWING: • Hands-on experience with generative AI and large language model (LLM) use cases in production • Experience building and scaling a Center of Excellence or establishing architectural standards across a large enterprise • Background in the services organization of a technology product company • AWS, Google Cloud, or Microsoft Azure Advanced certification(s) • Snowflake SnowPro Advanced Certification(s) • Deep industry vertical expertise (e.g., Financial Services, Healthcare, Media and Entertainment) • Experience as a technical lead on multi-team or multi-vendor delivery programs WHY JOIN OUR SERVICES DELIVERY TEAM AT SNOWFLAKE? Services Delivery at Snowflake puts you at the intersection of enterprise-scale data architecture and the most important AI transformation work happening in the market today. At this level, you'll have real influence, not just over individual engagements, but over how we build and deliver as an organization. The problems are genuinely hard, the customers are sophisticated, and the work directly shapes how some of the world's largest companies run their data and AI platforms. If you want a senior role where your architectural decisions have organizational impact, where you're constantly working at the edge of what Snowflake can do, and where you're surrounded by people who push each other to get better, this is it. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• The estimated base salary range for this role is $160,000 - $210,000. • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Lead technical delivery and architecture for complex AI/data platform engagements at Snowflake. | 8+ years in solutions architecture or senior technical roles with deep Snowflake and AI/ML platform experience. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory • Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations • Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives • Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies • Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery • Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment • Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management • Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery • Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams Cross-Functional Influence • Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction • Mentor and provide technical direction to junior architects and consultants within engagements • Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization OUR IDEAL SENIOR TECHNICAL ARCHITECT WILL HAVE: • BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience • 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role • Demonstrated track record leading architecture decisions on large-scale, enterprise data and AI platforms • Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance • Expert-level understanding of the full data analytics stack, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layers • Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment, monitoring, and ongoing governance • Proficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership • Experience designing and implementing MLOps frameworks and model lifecycle management at enterprise scale • Proven ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics BONUS POINTS FOR THE FOLLOWING: • Hands-on experience with generative AI and large language model (LLM) use cases in production • Experience building and scaling a Center of Excellence or establishing architectural standards across a large enterprise • Background in the services organization of a technology product company • AWS, Google Cloud, or Microsoft Azure Advanced certification(s) • Snowflake SnowPro Advanced Certification(s) • Deep industry vertical expertise (e.g., Financial Services, Healthcare, Media and Entertainment) • Experience as a technical lead on multi-team or multi-vendor delivery programs WHY JOIN OUR SERVICES DELIVERY TEAM AT SNOWFLAKE? Services Delivery at Snowflake puts you at the intersection of enterprise-scale data architecture and the most important AI transformation work happening in the market today. At this level, you'll have real influence, not just over individual engagements, but over how we build and deliver as an organization. The problems are genuinely hard, the customers are sophisticated, and the work directly shapes how some of the world's largest companies run their data and AI platforms. If you want a senior role where your architectural decisions have organizational impact, where you're constantly working at the edge of what Snowflake can do, and where you're surrounded by people who push each other to get better, this is it. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• The estimated base salary range for this role is $128,000 - $168,000. • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Lead technical discovery and solution design with enterprise customers, bridging technical capabilities and business outcomes. | Requires 8+ years in data engineering, analytics, AI/ML, software development, cloud architecture, or consulting with strong communication and technical skills. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Role As a Senior Solution Engineer at Snowflake, you are the technical trusted advisor to our customers and prospects. You bridge the gap between complex technical capabilities and business outcomes, equally comfortable whiteboarding architecture with a data engineering team and presenting ROI to a CFO. You own the technical win. Responsibilities • Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries • Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance) • Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives • Partner with Account Executives to drive pipeline, accelerate deals, and close business • Serve as the voice of the customer back to Product and Engineering teams • Build and maintain reusable assets: demo environments, reference architectures, and solution accelerators • Stay current on competitive landscape, industry trends, and emerging capabilities across the data & AI ecosystem Required Qualifications • 8+ years of experience spanning multiple disciplines: data engineering, analytics, AI/ML, software development, cloud architecture, or technical consulting • Demonstrated ability to design end-to-end data platforms (ingestion, transformation, • orchestration, serving, governance) • Hands-on proficiency with SQL and at least one programming language (Python, Java, Scala) • Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tooling (dbt, Spark, Kafka, Airflow, Terraform, or equivalent) • Proven track record of delivering technical solutions in a customer-facing, pre-sales, or consulting capacity • Exceptional communication skills — can articulate deeply technical concepts to non-technical stakeholders and hold credibility with engineering teams simultaneously • Experience engaging with executive leadership (CTO, CDO, CIO, CFO) on business strategy and technology roadmap discussions Preferred Qualifications • Experience with AI/ML workflows: model training, LLMs, RAG architectures, MLOps, feature engineering • Background in software engineering — building production applications, APIs, CI/CD pipelines • Prior consulting experience (Big 4, boutique, or internal) with demonstrated ability to scope, plan, and deliver complex technical programs • Familiarity with data governance, compliance frameworks, and security best practices • Experience with Snowflake or competing platforms (Databricks, BigQuery, Redshift) • Industry domain expertise (Financial Services, Healthcare, Retail, Media, or Public Sector) What Sets You Apart • You've been the "full-stack" technical person — not limited to one tool, one layer, or one audience • You thrive in ambiguity: scoping a problem, building conviction, and driving a customer to a decision • You combine technical depth with business acumen — understanding not just how to build, but why it matters • You have a builder's mindset: if a demo doesn't exist, you create it; if a gap exists, you close it Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Compensation & Benefits • $240,000 - $280,000 OTE • Snowflake offers competitive base salary, variable compensation, equity, and comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562. • Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Design, build, and operate backend distributed systems powering warehouse features and billing, collaborating across teams from design through production. | Bachelor's degree or equivalent with 4-7 years experience in backend or distributed systems in production environments. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Software Engineer, Warehouse UX About Snowflake At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You do not just use tools; you bring an innate curiosity and treat AI as a high-trust collaborator that is core to how you solve problems, deepen your technical leverage, and accelerate your impact. We look for low-ego individuals who thrive in dynamic, fast-moving environments and operate with an experimental mindset, rapidly testing emerging capabilities to uncover simpler, more powerful ways to deliver results. At Snowflake, your role is not just to execute within a function, but to help redefine how world-class engineering teams build, operate, and innovate. About the Role We are hiring a Senior Software Engineer to join the Warehouse UX pod at Snowflake. This team owns critical warehouse capabilities spanning features, billing, and usability across the warehouse experience. Warehouses are one of the most mission-critical parts of Snowflake’s platform and a major revenue driver for the company, making this an opportunity to work on high-impact systems at significant scale. Despite the UX pod name, this is not a front-end role. This team builds backend distributed systems that power warehouse behavior, customer-facing warehouse capabilities, metering and billing-related functionality, and the reliability and usability of core warehouse workflows. This role is best suited for an engineer with 4 to 7 years of experience who can independently drive medium-sized projects end to end, contribute effectively to larger cross-team efforts, and bring strong technical judgment to systems that matter deeply to customers and the business. What You Will Do Design, build, test, deploy, and operate backend software and distributed systems that power Snowflake Warehouses. Own medium-sized engineering projects independently from design through delivery, and contribute to larger initiatives across the warehouse organization. Build and evolve capabilities related to warehouse features, billing, and usability. Improve the reliability, scalability, performance, and operational health of warehouse systems in production. Work across the full software lifecycle, including technical design, implementation, testing, rollout, on-call participation, issue triage, and follow-through on production improvements. Partner closely with engineers, product managers, and adjacent teams to deliver durable solutions to customer and business problems. Make thoughtful tradeoffs between speed, quality, maintainability, and long-term architectural health. Use strong debugging and systems thinking to resolve complex production issues and improve service behavior over time. Raise the bar through design reviews, code reviews, operational rigor, and clear technical communication. Apply AI-assisted workflows where they increase engineering leverage, speed, or quality without compromising judgment. What We Are Looking For BS in Computer Science or a related technical field, or equivalent practical experience. 4 to 7 years of professional software engineering experience. Strong programming, debugging, and software design skills in one or more modern languages. Experience building and operating backend or distributed systems in production. Ability to independently execute on medium-sized projects and deliver them to completion. Ability to contribute as a strong technical partner on larger, cross-team projects. Solid understanding of the software development lifecycle and engineering best practices across design, implementation, testing, deployment, and operations. Experience participating in on-call, production support, or incident response for live systems. Strong communication skills and a collaborative, low-ego working style. A customer-oriented mindset and good judgment about reliability, usability, and business impact. Preferred Qualifications Master's or PhD in Computer Science or a related technical field. Experience with distributed systems, cloud infrastructure, data platforms, or large-scale backend services. Experience working on billing, metering, control plane systems, or customer-facing platform capabilities. Familiarity with performance-sensitive or highly reliable production environments. Comfort navigating ambiguity and breaking down complex technical problems into practical solutions. Curiosity about new technologies and comfort using AI tools as part of an effective engineering workflow. Why This Role The Warehouse UX pod owns an especially important part of Snowflake’s platform: the capabilities customers use to control, understand, and get value from their warehouses. You will work on systems tied directly to customer experience, product usability, and business outcomes, while helping evolve infrastructure that runs at Snowflake scale. Closing If you are excited to build backend distributed systems for one of Snowflake’s most critical product areas, and want to have outsized impact on a platform that powers customer workloads every day, we would love to hear from you. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Lead cloud partner co-sell strategy and technical enablement to drive joint customer success and product integration launches. | Senior-level experience in cloud partner solutions engineering with strong technical and business acumen, ideally with Microsoft Azure and AI/cloud technologies. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership. KEY RESPONSIBILITIES: Partner Strategy & GTM Program Ownership • Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives. • Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value. • Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings that align Snowflake use cases to cloud partner product portfolios and commercial programs. • Lead joint planning cadences with cloud partner alliance teams, translating partner strategy into actionable quarterly and annual execution plans. • Identify whitespace opportunities, product gaps, and integration priorities; synthesize partner field feedback into structured recommendations for Snowflake product and GTM teams. • Represent Snowflake at partner events, conferences, and executive forums — including AWS re:Invent, Google Next, and Microsoft Build — as a credible voice across both technical and business audiences. Top Account Co-Sell Execution • Drive joint account planning with field AEs and cloud Alliances teams against top-account lists, establishing 18+ month account strategies that integrate Snowflake and cloud partner resources. • Lead and manage the full co-sell lifecycle — from opportunity identification and qualification through technical win and production deployment — with clear milestone ownership and stakeholder communication throughout. • Frame and communicate the business value of joint Snowflake + cloud partner solutions to executive and technical stakeholders at target accounts, tailoring the narrative to industry context and customer objectives. • Deliver packaged POCs and customer workshops built around high-impact co-sell plays — including Open Lakehouse (S3/Iceberg, Fabric OneLake, BigLake), Cortex AI + cloud LLM services (Anthropic/Cortex, Azure OpenAI, Vertex AI), and Data Engineering pipelines. • Partner with SI teams on joint POC delivery and coordinate cross-functional resources (product, professional services, Alliances) to remove blockers and accelerate time to go-live. • Conduct and participate in joint Quarterly Business Reviews (QBRs) with cloud partner and Snowflake field leadership, presenting pipeline health, consumption trends, and next-period priorities. Cloud Partner Field Enablement • Design and deliver enablement programs for cloud SA and partner field teams across AWS, Azure, and GCP — building both technical competency and commercial confidence in positioning Snowflake co-sell plays. • Build and sustain cloud SA champion networks through structured, account-based up-skilling covering product features, industry verticals, enterprise architecture patterns, and value-based selling frameworks. • Support cloud partner COE maturity development by providing architecture guidance, deployment best practices, and access to Snowflake technical and GTM resources. • Publish technical blogs, whitepapers, quickstarts, and case studies that document joint integration patterns, customer outcomes, and co-sell plays — creating reusable assets that multiply field impact beyond individual engagements. • Develop and maintain L100/L200 enablement decks and partner-facing narratives that translate complex technical integrations into business-relevant co-sell stories. Technical Depth — Cortex AI, Iceberg, and Cross-Cloud Architectures • Lead hands-on Cortex AI enablement with cloud partner field teams, covering Cortex LLM, Search, Analyst, Fine Tuning, and Anthropic/Cortex co-sell plays relevant to each cloud's AI portfolio. • Architect and deliver cross-cloud Iceberg and Lakehouse solutions integrating Snowflake with AWS S3/Iceberg, Microsoft Fabric OneLake, and Google BigLake — demonstrating interoperability across the open data ecosystem. • Enable Openflow, Snowpark, and Snowpark Container Services (SPCS) deployment patterns in joint customer engagements, with a focus on production-readiness and scalability. • Map Snowflake workloads to cloud partner product portfolios (AWS SageMaker, Bedrock, Glue, MSK; Azure Data Factory, Power BI, Copilot, AI Studio; GCP Vertex AI, Gemini, BigQuery) to craft technically grounded co-sell narratives that hold up in front of both SAs and architects. • Support customers from technical win through production deployment, ensuring that go-live results in measurable, sustained consumption. Mentorship • Mentor junior Solutions Engineers on cloud partner engagement models, co-sell execution, business value framing, and technical delivery. • Elevate team capability across technical depth, GTM execution, and partner program management by sharing playbooks, lessons learned, and reusable assets. EDUCATIONAL BACKGROUND • Bachelor’s Degree: Most roles require a degree in Business, Marketing, Computer Science, Data Science, or a related analytical field. • Advanced Degrees: An MBA or a Master’s in Data Analytics is often preferred for senior-level or strategic positions. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until July 12, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: • This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562. • Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Provide hands-on technical support and proactive customer engagement for Snowflake's Priority Support customers. | 7+ years technical support experience, advanced SQL skills, cloud platform knowledge, and strong customer relationship management. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake Support is committed to providing world-class solutions that inspire customer confidence and ensure business continuity. The DSE is a trusted technical partner to our Priority Support customers with a strong AI-first mindset, customer management skills & technical acumen. The role will lead the drive to reinvent and transform Priority Support into a deeply engaged, proactive offering that delivers high value throughout the customer’s post-go-live journey. The DSE role blends deep technical expertise with account engagement and service delivery. The DSE provides hands-on engagement to bridge complex business problems with Snowflake’s technology solutions. The DSE partners with the customer and internal Snowflake teams to drive quick resolution of reported issues, with a focus on future case deflection and WAF principles that ultimately strengthen customer trust in Snowflake. AS A DESIGNATED SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL IMPACT AND CONTRIBUTE TO THE SUCCESS OF OUR CUSTOMERS: • Provide hands-on support for customer needs following Snowflake deployment - from quick start consultations, to issue resolutions, account health monitoring and critical event support. • Deep understanding of the customer's product integration architecture and workloads. • Design, review and execute use cases with customer context to align with Snowflake best practices, product features and functionality. • Provide guidance on how to resolve customer-specific technical challenges • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s product and service offerings to drive customer experience. • Drive customer experience across the following: • Query performance & optimization - Monitor, review and provide actionable, hands-on support to optimize query performance and prevent recurring issues. • Cost Optimization opportunities - Analyze the customer’s warehouse configuration and utilization, implement recommendations in partnership with the customer. • System Integration - Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments • Own release readiness for priority support customers, lead disaster recovery drills & provide hands-on migration support. • Drive Issue resolution and high case quality - partner with internal team to drive effective resolution and RCAs. Provide customer context and be the customer advocate. • Establish regular touchpoints with customers to provide technical and executive-level updates across all reported issues. • Be available on-call as needed for customer success. • Serve as a dedicated technical partner to Priority Support customers — providing hands-on support from quick-start consultations and issue resolution to account health monitoring and critical event response • Develop a deep understanding of each customer's product integration architecture, workloads, and business objectives to deliver contextually relevant guidance • Design, review, and execute use cases aligned to Snowflake best practices, product features, and functionality — translating technical capabilities into customer outcomes • Monitor, analyze, and deliver actionable recommendations for query performance optimization, with a focus on preventing recurring issues • Analyze warehouse configuration and utilization, and implement cost optimization recommendations in close partnership with customers • Own release readiness for priority support customers, lead disaster recovery drills, and provide hands-on migration support • Drive high-quality issue resolution and root cause analyses — serving as the internal customer advocate to ensure effective, timely outcomes • Establish regular executive and technical touchpoints with customers to provide updates across all active issues and share forward-looking guidance • Partner cross-functionally with Product Management, Engineering, and Marketing to surface customer insights that improve Snowflake's products and services • Apply AI-powered tooling and workflows to triage, log analysis, response drafting, and trend detection — validating outputs and escalating to manual investigation where appropriate OUR IDEAL DESIGNATED SUPPORT ENGINEER WILL HAVE: • 7+ years of experience in Technical Support, Solutions Architecture, Data Engineering, or a similar customer-facing technical role • Bachelor's or Master's degree in Computer Science, MIS, or a related field — or equivalent experience • Proven success managing enterprise customer relationships as a trusted technical advisor, including communicating and influencing across technical and executive audiences • Advanced SQL expertise, including query debugging, optimization, window functions, and performance tuning • Strong RDBMS fundamentals: data types, aggregations, execution plans, workload management, and database performance • Hands-on experience with distributed or MPP (massively parallel processing) database platforms • Experience with ETL/ELT tools and BI/analytics platforms (e.g., AWS Glue, Azure Data Factory, Informatica, Matillion, Fivetran, Tableau) • Experience working with large-scale infrastructure-as-a-service platforms (AWS, Azure, GCP) • AI fluency: demonstrated ability to use AI-assisted workflows for triage, analysis, and response drafting — including critically validating outputs and knowing when to escalate to manual investigation • High emotional intelligence (EQ), empathy, and strong customer advocacy skills, with adaptability to thrive in a fast-moving, dynamic environment BONUS POINTS FOR THE FOLLOWING: • Experience with DevOps or DataOps tooling such as Git, Jenkins, or Terraform • Hands-on experience troubleshooting database connectivity (drivers, connectors, client software) and cloud data migrations • Solid understanding of internet fundamentals — TCP/IP, HTTP/S, SFTP, DNS — and ability to use diagnostic tools to troubleshoot connectivity issues • Experience with one or more of: Python, Java, JavaScript, Scala, or Spark • Familiarity with common BI and data exploration tools (Power BI, Tableau, MicroStrategy, Business Objects) WHY JOIN OUR SUPPORT TEAM AT SNOWFLAKE? As Snowflake's customers grow in scale and sophistication, the DSE role sits at the center of what keeps them confident in their investment. You'll work at the intersection of deep technical problem-solving and high-trust customer relationships — shaping not just case outcomes but the overall experience customers have with Snowflake post-deployment. This is a role for someone who wants real ownership: over customer relationships, over technical quality, and over the evolution of what Priority Support means at Snowflake. You'll work closely with Engineering, Product, and Customer Success, with direct visibility into how your work drives platform adoption and customer loyalty at some of the world's most data-intensive companies. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• The estimated base salary range for this role is $122,000 - $160,600. • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Provide hands-on technical support and advisory to enterprise customers post-deployment, focusing on issue resolution, optimization, and customer engagement. | 7+ years technical support or related experience with advanced SQL, cloud platform knowledge, AI fluency, and strong customer relationship skills. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake Support is committed to providing world-class solutions that inspire customer confidence and ensure business continuity. The DSE is a trusted technical partner to our Priority Support customers with a strong AI-first mindset, customer management skills & technical acumen. The role will lead the drive to reinvent and transform Priority Support into a deeply engaged, proactive offering that delivers high value throughout the customer’s post-go-live journey. The DSE role blends deep technical expertise with account engagement and service delivery. The DSE provides hands-on engagement to bridge complex business problems with Snowflake’s technology solutions. The DSE partners with the customer and internal Snowflake teams to drive quick resolution of reported issues, with a focus on future case deflection and WAF principles that ultimately strengthen customer trust in Snowflake. AS A DESIGNATED SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL IMPACT AND CONTRIBUTE TO THE SUCCESS OF OUR CUSTOMERS: • Provide hands-on support for customer needs following Snowflake deployment - from quick start consultations, to issue resolutions, account health monitoring and critical event support. • Deep understanding of the customer's product integration architecture and workloads. • Design, review and execute use cases with customer context to align with Snowflake best practices, product features and functionality. • Provide guidance on how to resolve customer-specific technical challenges • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s product and service offerings to drive customer experience. • Drive customer experience across the following: • Query performance & optimization - Monitor, review and provide actionable, hands-on support to optimize query performance and prevent recurring issues. • Cost Optimization opportunities - Analyze the customer’s warehouse configuration and utilization, implement recommendations in partnership with the customer. • System Integration - Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments • Own release readiness for priority support customers, lead disaster recovery drills & provide hands-on migration support. • Drive Issue resolution and high case quality - partner with internal team to drive effective resolution and RCAs. Provide customer context and be the customer advocate. • Establish regular touchpoints with customers to provide technical and executive-level updates across all reported issues. • Be available on-call as needed for customer success. • Serve as a dedicated technical partner to Priority Support customers — providing hands-on support from quick-start consultations and issue resolution to account health monitoring and critical event response • Develop a deep understanding of each customer's product integration architecture, workloads, and business objectives to deliver contextually relevant guidance • Design, review, and execute use cases aligned to Snowflake best practices, product features, and functionality — translating technical capabilities into customer outcomes • Monitor, analyze, and deliver actionable recommendations for query performance optimization, with a focus on preventing recurring issues • Analyze warehouse configuration and utilization, and implement cost optimization recommendations in close partnership with customers • Own release readiness for priority support customers, lead disaster recovery drills, and provide hands-on migration support • Drive high-quality issue resolution and root cause analyses — serving as the internal customer advocate to ensure effective, timely outcomes • Establish regular executive and technical touchpoints with customers to provide updates across all active issues and share forward-looking guidance • Partner cross-functionally with Product Management, Engineering, and Marketing to surface customer insights that improve Snowflake's products and services • Apply AI-powered tooling and workflows to triage, log analysis, response drafting, and trend detection — validating outputs and escalating to manual investigation where appropriate OUR IDEAL DESIGNATED SUPPORT ENGINEER WILL HAVE: • 7+ years of experience in Technical Support, Solutions Architecture, Data Engineering, or a similar customer-facing technical role • Bachelor's or Master's degree in Computer Science, MIS, or a related field — or equivalent experience • Proven success managing enterprise customer relationships as a trusted technical advisor, including communicating and influencing across technical and executive audiences • Advanced SQL expertise, including query debugging, optimization, window functions, and performance tuning • Strong RDBMS fundamentals: data types, aggregations, execution plans, workload management, and database performance • Hands-on experience with distributed or MPP (massively parallel processing) database platforms • Experience with ETL/ELT tools and BI/analytics platforms (e.g., AWS Glue, Azure Data Factory, Informatica, Matillion, Fivetran, Tableau) • Experience working with large-scale infrastructure-as-a-service platforms (AWS, Azure, GCP) • AI fluency: demonstrated ability to use AI-assisted workflows for triage, analysis, and response drafting — including critically validating outputs and knowing when to escalate to manual investigation • High emotional intelligence (EQ), empathy, and strong customer advocacy skills, with adaptability to thrive in a fast-moving, dynamic environment BONUS POINTS FOR THE FOLLOWING: • Experience with DevOps or DataOps tooling such as Git, Jenkins, or Terraform • Hands-on experience troubleshooting database connectivity (drivers, connectors, client software) and cloud data migrations • Solid understanding of internet fundamentals — TCP/IP, HTTP/S, SFTP, DNS — and ability to use diagnostic tools to troubleshoot connectivity issues • Experience with one or more of: Python, Java, JavaScript, Scala, or Spark • Familiarity with common BI and data exploration tools (Power BI, Tableau, MicroStrategy, Business Objects) WHY JOIN OUR SUPPORT TEAM AT SNOWFLAKE? As Snowflake's customers grow in scale and sophistication, the DSE role sits at the center of what keeps them confident in their investment. You'll work at the intersection of deep technical problem-solving and high-trust customer relationships — shaping not just case outcomes but the overall experience customers have with Snowflake post-deployment. This is a role for someone who wants real ownership: over customer relationships, over technical quality, and over the evolution of what Priority Support means at Snowflake. You'll work closely with Engineering, Product, and Customer Success, with direct visibility into how your work drives platform adoption and customer loyalty at some of the world's most data-intensive companies. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• The estimated base salary range for this role is $122,000 - $160,600. • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Lead and deliver Snowflake Professional Services engagements by connecting business problems to technical solutions and collaborating with sales and delivery teams. | Requires 5+ years solutions or data architecture experience, 2+ years with Snowflake and cloud platforms, strong communication skills, and hands-on technical expertise in data technologies and AI/ML. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Solutions Architect to be part of our Professional Services team. In this role there will be equal focus on both the process of selling Snowflake Professional Services engagements as well as the delivery of sold/billable engagements. This person must be a hands-on, self-starter who loves solving innovative problems in a fast-paced, agile environment. The ideal candidate will have the insight to connect a specific business problem and Snowflake’s solution, confidently communicating that connection and vision to technical and executive audiences. The person we’re looking for shares our passion for reinventing the data platform and thrives in a dynamic environment. That means having the flexibility and willingness to jump in and get it done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving data and analytics technologies and working collaboratively with a broad range of people inside and outside the company to be an authoritative resource for Snowflake and its customers. Location: Denver, Salt Lake, Arizona, LA AS A PROFESSIONAL SERVICES SOLUTIONS ARCHITECT, AT SNOWFLAKE, YOU WILL : • Present Snowflake technology and vision to executives and technical contributors to customers. • Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes. • Partner with Professional Services Practice Directors and Practice Managers to identify, iterate and scope proposals and Statements of Work, both for packaged services as well as custom Time and Materials projects • Collaborate with Snowflake sales executives and account teams on opportunity development and overall account strategy • Build trust and confidence in Snowflake Professional Services through the delivery of on-site technical/use-case workshops, leadership of video conference meetings, assistance with deep-dive technical issues or questions and public-facing evangelism (LinkedIn, Medium, etc.) of Snowflake • Collect and communicate common themes and questions from customer meetings to inform delivery teams on the evolving services landscape, identifying opportunities to build new and/or evolve existing packaged service offerings • Drive project teams towards common goals of accelerating the adoption of Snowflake solutions. • Demonstrate and communicate the value of Snowflake technology throughout paid engagements, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders. • Create repeatable processes and documentation as a result of customer engagement. • Create and collaborate on Industry based solutions that are relevant to other customers in order to drive more value out of Snowflake. • Follow best practices, including ensuring knowledge transfer so that customers are correctly enabled and can extend the capabilities of Snowflake on their own. • Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. OUR IDEAL SOLUTIONS ARCHITECT, SALES WILL HAVE: • University degree in computer science, engineering, mathematics or related fields, or equivalent experience • Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer. • Minimum 2 years of practical Snowflake experience, leading or participating in services engagements • Minimum 2 years of practical experience with at least one of the three major cloud providers (AWS, Azure or GCP) • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools • Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI) • Either extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) along with data science/AI/ML use cases and workloads, OR; • Experience with AI/ML model development and relevant tools like Sagemaker, DBx, or Azure ML. Additionally candidate must have familiarity with common ML supporting libraries (sklearn, xgboost, pytorch, pandas, etc.) • Software development experience with Python, Java , Spark and other Scripting languages • Proficiency in implementing data security measures, access controls, and design within the Snowflake platform. • Internal and/or external consulting experience. • Impeccable communication skills - written, visual and oral. Capable of comfortably engaging audiences from hands-on technologists through C-suite executives. BONUS POINTS FOR THE FOLLOWING : • Big 5 Consulting experience • Experience selling or supporting the sales process of technical services at the enterprise level • Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) • Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Looker, Tableau) • OLAP Data modeling and data architecture experience • Expertise in a core vertical such as Financial Services, Retail, Media & Entertainment, Healthcare, Life-Sciences etc. • Current certifications in any of the following areas: cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.), cloud networking and security, data governance, ELT tools and BI/presentation layer tools Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until 6/29/2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• The estimated base salary range for this role is $166,000 - $218,400. • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Provide hands-on technical support and proactive customer engagement for Snowflake priority support customers. | 7+ years experience in technical support or similar role with advanced SQL and cloud platform expertise. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake Support is committed to providing world-class solutions that inspire customer confidence and ensure business continuity. The DSE is a trusted technical partner to our Priority Support customers with a strong AI-first mindset, customer management skills & technical acumen. The role will lead the drive to reinvent and transform Priority Support into a deeply engaged, proactive offering that delivers high value throughout the customer’s post-go-live journey. The DSE role blends deep technical expertise with account engagement and service delivery. The DSE provides hands-on engagement to bridge complex business problems with Snowflake’s technology solutions. The DSE partners with the customer and internal Snowflake teams to drive quick resolution of reported issues, with a focus on future case deflection and WAF principles that ultimately strengthen customer trust in Snowflake. AS A DESIGNATED SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL IMPACT AND CONTRIBUTE TO THE SUCCESS OF OUR CUSTOMERS: • Provide hands-on support for customer needs following Snowflake deployment - from quick start consultations, to issue resolutions, account health monitoring and critical event support. • Deep understanding of the customer's product integration architecture and workloads. • Design, review and execute use cases with customer context to align with Snowflake best practices, product features and functionality. • Provide guidance on how to resolve customer-specific technical challenges • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s product and service offerings to drive customer experience. • Drive customer experience across the following: • Query performance & optimization - Monitor, review and provide actionable, hands-on support to optimize query performance and prevent recurring issues. • Cost Optimization opportunities - Analyze the customer’s warehouse configuration and utilization, implement recommendations in partnership with the customer. • System Integration - Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments • Own release readiness for priority support customers, lead disaster recovery drills & provide hands-on migration support. • Drive Issue resolution and high case quality - partner with internal team to drive effective resolution and RCAs. Provide customer context and be the customer advocate. • Establish regular touchpoints with customers to provide technical and executive-level updates across all reported issues. • Be available on-call as needed for customer success. • Serve as a dedicated technical partner to Priority Support customers — providing hands-on support from quick-start consultations and issue resolution to account health monitoring and critical event response • Develop a deep understanding of each customer's product integration architecture, workloads, and business objectives to deliver contextually relevant guidance • Design, review, and execute use cases aligned to Snowflake best practices, product features, and functionality — translating technical capabilities into customer outcomes • Monitor, analyze, and deliver actionable recommendations for query performance optimization, with a focus on preventing recurring issues • Analyze warehouse configuration and utilization, and implement cost optimization recommendations in close partnership with customers • Own release readiness for priority support customers, lead disaster recovery drills, and provide hands-on migration support • Drive high-quality issue resolution and root cause analyses — serving as the internal customer advocate to ensure effective, timely outcomes • Establish regular executive and technical touchpoints with customers to provide updates across all active issues and share forward-looking guidance • Partner cross-functionally with Product Management, Engineering, and Marketing to surface customer insights that improve Snowflake's products and services • Apply AI-powered tooling and workflows to triage, log analysis, response drafting, and trend detection — validating outputs and escalating to manual investigation where appropriate OUR IDEAL DESIGNATED SUPPORT ENGINEER WILL HAVE: • 7+ years of experience in Technical Support, Solutions Architecture, Data Engineering, or a similar customer-facing technical role • Bachelor's or Master's degree in Computer Science, MIS, or a related field — or equivalent experience • Proven success managing enterprise customer relationships as a trusted technical advisor, including communicating and influencing across technical and executive audiences • Advanced SQL expertise, including query debugging, optimization, window functions, and performance tuning • Strong RDBMS fundamentals: data types, aggregations, execution plans, workload management, and database performance • Hands-on experience with distributed or MPP (massively parallel processing) database platforms • Experience with ETL/ELT tools and BI/analytics platforms (e.g., AWS Glue, Azure Data Factory, Informatica, Matillion, Fivetran, Tableau) • Experience working with large-scale infrastructure-as-a-service platforms (AWS, Azure, GCP) • AI fluency: demonstrated ability to use AI-assisted workflows for triage, analysis, and response drafting — including critically validating outputs and knowing when to escalate to manual investigation • High emotional intelligence (EQ), empathy, and strong customer advocacy skills, with adaptability to thrive in a fast-moving, dynamic environment BONUS POINTS FOR THE FOLLOWING: • Experience with DevOps or DataOps tooling such as Git, Jenkins, or Terraform • Hands-on experience troubleshooting database connectivity (drivers, connectors, client software) and cloud data migrations • Solid understanding of internet fundamentals — TCP/IP, HTTP/S, SFTP, DNS — and ability to use diagnostic tools to troubleshoot connectivity issues • Experience with one or more of: Python, Java, JavaScript, Scala, or Spark • Familiarity with common BI and data exploration tools (Power BI, Tableau, MicroStrategy, Business Objects) WHY JOIN OUR SUPPORT TEAM AT SNOWFLAKE? As Snowflake's customers grow in scale and sophistication, the DSE role sits at the center of what keeps them confident in their investment. You'll work at the intersection of deep technical problem-solving and high-trust customer relationships — shaping not just case outcomes but the overall experience customers have with Snowflake post-deployment. This is a role for someone who wants real ownership: over customer relationships, over technical quality, and over the evolution of what Priority Support means at Snowflake. You'll work closely with Engineering, Product, and Customer Success, with direct visibility into how your work drives platform adoption and customer loyalty at some of the world's most data-intensive companies. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• The estimated base salary range for this role is $122,000 - $160,600. • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Lead and mature enterprise-level security programs, manage compliance frameworks, and direct security teams. | Extensive experience in cybersecurity leadership, compliance management, and security program implementation. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake has developed a world class cloud data platform that is effective, affordable and accessible to all data users. As we continue to scale globally, we are investing in security capabilities that help us better understand, anticipate, and mitigate threats targeting Snowflake, our customers, and our ecosystem. We are looking for a Principal Security Engineer - Threat Intelligence who will help shape the next phase of Snowflake’s Threat Intelligence program and extend the reach and impact of Threat Intelligence across Snowflake. This role will combine deep intelligence expertise with strong engineering and program leadership skills, with AI and automation as core primitives in how we collect, analyze, prioritize, and operationalize intelligence. The ideal candidate will help Snowflake leadership and security stakeholders make informed, risk-based, and data-driven decisions based on actionable threat intelligence. You will identify and track threat actors targeting cloud-native environments such as Snowflake, translate intelligence into concrete defensive outcomes, and build scalable approaches that improve how intelligence is delivered across the company. This is a principal-level individual contributor role for someone who can operate strategically and technically: driving program maturity, building durable partnerships across Security and Engineering, and engineering AI-assisted workflows that help us move faster without sacrificing quality. WHAT YOU NEED: • Deep experience in threat intelligence, with strong background in several of: adversary intelligence, intrusion intelligence, supply-chain intelligence, identity intelligence, domain intelligence, and threat-informed defense. • Strong understanding of today’s threat actor ecosystem, including nation-state actors, criminal organizations, ransomware groups, fraud ecosystems, and the platforms and communities that enable them. • Demonstrated ability to operationalize threat intelligence and influence security priorities in partnership with detection, incident response, product security, cloud security, anti-abuse, and other stakeholders. • Strong engineering skills, including experience writing code in high-level languages such as Python or Go, building automations, and working with data-heavy security workflows. • Experience building or driving AI-assisted workflows for intelligence analysis, research triage, summarization, collection, prioritization, or investigative support, and good judgment about where AI adds value versus where human analysis is required. • Ability to research threat actors’ TTPs, infrastructure, targets, and objectives, and map those risks to Snowflake’s product, enterprise, and customer environment. • Experience with OSINT tools, data sources, investigative methodologies, and intelligence reporting for technical and executive audiences. • Strong understanding of threat hunting and threat detection methodologies, and the ability to turn intelligence into hunts, detection opportunities, and control recommendations. • A risk-based approach to security, with the ability to prioritize work based on business impact and evolving threat conditions. • A humble, team-oriented mindset with a bias toward collaboration, execution, and raising the bar for the broader team. WHAT YOU WILL DO: • Help define and mature the strategy for Threat Intelligence at Snowflake, including where the program should invest in people, processes, engineering, and AI-enabled capabilities. • Identify, profile, and track threat actors targeting Snowflake, our customers, partners, and ecosystem, and translate that intelligence into relevant, actionable outcomes. • Operationalize threat intelligence to help prioritize security initiatives and drive action with the relevant security teams and stakeholders. • Produce high-quality intelligence reports, assessments, briefs, and leadership-ready communications based on external events, internal requirements, and proactive research. • Engineer solutions that improve the efficiency, scale, and impact of the Threat Intelligence program, including automations, collection pipelines, enrichment workflows, and analyst tooling. • Build and improve AI-assisted intelligence workflows for tasks such as report triage, signal enrichment, summarization, vendor/customer monitoring, and threat-informed hunts, with strong measurement and quality.. • Partner closely with Threat Detection, Incident Response, and other security teams to convert intelligence into detections, threat hunts, investigative pivots, and control recommendations. • Monitor alerts, intelligence feeds, vendor reporting, and external developments for threat events that may affect Snowflake. • Drive standards for how intelligence is curated, evaluated, delivered, and measured so the program remains high-signal, timely, and scalable. • Mentor other engineers and analysts by raising the team’s technical depth, analytic rigor, and operational maturity. MINIMUM QUALIFICATIONS: • Significant experience in threat intelligence, cyber threat research, intelligence engineering, or closely related security disciplines. • Experience researching and tracking sophisticated threat actors targeting cloud-native and SaaS environments. • Experience writing code in a high-level programming language such as Python or Go and using code to automate manual workflows or analyze security data at scale. • Experience handling data programmatically using tools such as SQL and Python, ideally against large datasets relevant to security analytics or intelligence workflows. • Experience collaborating across multiple security functions and communicating effectively with technical stakeholders and leadership. • Strong understanding of enterprise security controls, threat hunting, and detection methodologies. • Experience with one or more major cloud providers (AWS, Azure, GCP) and familiarity with the risks that impact cloud and SaaS environments. PREFERRED QUALIFICATIONS: • Experience leading or materially shaping a Threat Intelligence program at scale. • Experience building AI/ML-assisted security workflows or evaluating AI systems for security use cases. • Experience with data engineering, workflow orchestration, or production-grade systems that support intelligence or security operations at scale. • Experience with Snowflake or equivalent cloud data platforms for large-scale analysis and investigative workflows. • Experience presenting externally, publishing research, or demonstrating thought leadership in the security space. • Experience building capabilities that support intelligence-driven detection, hunting, or response at a global scale. WHY YOU SHOULD WORK WITH US: • We are laser focused on doing security better, and we do not tolerate the status quo. • We have strong demand from our customers and strong support from the business for security, giving us meaningful runway to build next-generation capabilities. • We are a great team with a diverse set of backgrounds and skills, and we care deeply about impact, collaboration, and execution. • You will help solve security problems at global scale, leveraging Snowflake’s platform and modern AI capabilities to raise the bar for defenders. • The opportunity for impact on Snowflake, our customers, and the broader security ecosystem is enormous. ABOUT THE THREAT INTELLIGENCE TEAM: The Threat Intelligence team at Snowflake operates with a vision of proactively detecting threats based on risk and data-driven decisions. Our mission is to proactively identify relevant threat actors and activity through intelligence, and to translate that intelligence into capabilities and decisions that help Snowflake identify threats early and reduce risk to the business. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential. The application window is expected to be open until June 10, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• The estimated base salary range for this role is $249,000 - $311,000. • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. 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Lead cloud partner co-sell strategy and technical enablement for Snowflake's cloud integrations. | Requires deep technical and business skills to manage cloud partner relationships and deliver joint solutions. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership. KEY RESPONSIBILITIES: Partner Strategy & GTM Program Ownership • Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives. • Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value. • Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings that align Snowflake use cases to cloud partner product portfolios and commercial programs. • Lead joint planning cadences with cloud partner alliance teams, translating partner strategy into actionable quarterly and annual execution plans. • Identify whitespace opportunities, product gaps, and integration priorities; synthesize partner field feedback into structured recommendations for Snowflake product and GTM teams. • Represent Snowflake at partner events, conferences, and executive forums — including AWS re:Invent, Google Next, and Microsoft Build — as a credible voice across both technical and business audiences. Top Account Co-Sell Execution • Drive joint account planning with field AEs and cloud Alliances teams against top-account lists, establishing 18+ month account strategies that integrate Snowflake and cloud partner resources. • Lead and manage the full co-sell lifecycle — from opportunity identification and qualification through technical win and production deployment — with clear milestone ownership and stakeholder communication throughout. • Frame and communicate the business value of joint Snowflake + cloud partner solutions to executive and technical stakeholders at target accounts, tailoring the narrative to industry context and customer objectives. • Deliver packaged POCs and customer workshops built around high-impact co-sell plays — including Open Lakehouse (S3/Iceberg, Fabric OneLake, BigLake), Cortex AI + cloud LLM services (Anthropic/Cortex, Azure OpenAI, Vertex AI), and Data Engineering pipelines. • Partner with SI teams on joint POC delivery and coordinate cross-functional resources (product, professional services, Alliances) to remove blockers and accelerate time to go-live. • Conduct and participate in joint Quarterly Business Reviews (QBRs) with cloud partner and Snowflake field leadership, presenting pipeline health, consumption trends, and next-period priorities. Cloud Partner Field Enablement • Design and deliver enablement programs for cloud SA and partner field teams across AWS, Azure, and GCP — building both technical competency and commercial confidence in positioning Snowflake co-sell plays. • Build and sustain cloud SA champion networks through structured, account-based up-skilling covering product features, industry verticals, enterprise architecture patterns, and value-based selling frameworks. • Support cloud partner COE maturity development by providing architecture guidance, deployment best practices, and access to Snowflake technical and GTM resources. • Publish technical blogs, whitepapers, quickstarts, and case studies that document joint integration patterns, customer outcomes, and co-sell plays — creating reusable assets that multiply field impact beyond individual engagements. • Develop and maintain L100/L200 enablement decks and partner-facing narratives that translate complex technical integrations into business-relevant co-sell stories. Technical Depth — Cortex AI, Iceberg, and Cross-Cloud Architectures • Lead hands-on Cortex AI enablement with cloud partner field teams, covering Cortex LLM, Search, Analyst, Fine Tuning, and Anthropic/Cortex co-sell plays relevant to each cloud's AI portfolio. • Architect and deliver cross-cloud Iceberg and Lakehouse solutions integrating Snowflake with AWS S3/Iceberg, Microsoft Fabric OneLake, and Google BigLake — demonstrating interoperability across the open data ecosystem. • Enable Openflow, Snowpark, and Snowpark Container Services (SPCS) deployment patterns in joint customer engagements, with a focus on production-readiness and scalability. • Map Snowflake workloads to cloud partner product portfolios (AWS SageMaker, Bedrock, Glue, MSK; Azure Data Factory, Power BI, Copilot, AI Studio; GCP Vertex AI, Gemini, BigQuery) to craft technically grounded co-sell narratives that hold up in front of both SAs and architects. • Support customers from technical win through production deployment, ensuring that go-live results in measurable, sustained consumption. Mentorship • Mentor junior Solutions Engineers on cloud partner engagement models, co-sell execution, business value framing, and technical delivery. • Elevate team capability across technical depth, GTM execution, and partner program management by sharing playbooks, lessons learned, and reusable assets. EDUCATIONAL BACKGROUND • Bachelor’s Degree: Most roles require a degree in Business, Marketing, Computer Science, Data Science, or a related analytical field. • Advanced Degrees: An MBA or a Master’s in Data Analytics is often preferred for senior-level or strategic positions. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until July 12, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: • This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562. • Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Lead and manage professional services sales and delivery for healthcare and life science clients to drive revenue growth and customer satisfaction. | 10+ years in sales and services delivery roles with experience in data warehousing, business intelligence, cloud solutions, and executive engagement. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. LEAD. STRATEGIZE. TRANSFORM. JOIN US AS A PROFESSIONAL SERVICES PRACTICE MANAGER! Are you ready to own your impact at the forefront of the data revolution? As a Services Practice Manager, you’ll be a key driver in transforming businesses through cutting-edge cloud data solutions. You’ll collaborate with top-tier clients, strategize with elite sales teams, and lead groundbreaking professional service engagements—all while working with the best minds in the industry! This role is completely remote and can be based anywhere in the Eastern Timezone. WHY THIS ROLE? • Be a Market Leader: Own and execute a strategic vision for Professional Services. • Drive Meaningful Change: Work with clients to unlock the power of data and fuel digital transformations. • Lead from the Front: Manage high-impact projects, ensure seamless delivery, and drive revenue growth. • Collaborate with the Best: Work cross-functionally with top industry experts to shape the future of cloud data solutions. • Crush Your Goals: Meet and exceed bookings, utilization, and consumption targets while delivering exceptional customer experiences. WHAT YOU’LL DO: • Spearhead services sales execution and project delivery success for key accounts. Engage C-level executives to create and execute services roadmaps that drive real business outcomes. • Own the entire professional services lifecycle—from deal strategy and proposal creation to execution and forecasting. • Be the go-to expert for cloud-based data warehousing, business intelligence, and AI-powered solutions. • Lead high-performing teams while ensuring top-tier customer satisfaction. AS A SERVICES PRACTICE MANAGER, YOU WILL: • Report to an Consulting Practice Director on the Americas Professional Services teams • Be aligned to markets or industries as part of the practice, with services sales alignment to a Sales District Manager and Account Executives • Be responsible for both driving service sales enablement/execution and ensuring the successful delivery of services for your assigned accounts. Focus on achieving quarterly bookings targets (for Professional Services & Training) while meeting utilization targets by actively managing select project deliveries. • Be measured on consumption progress and meeting consumption targets at your accounts as part of the broader account team • Be the Professional Services point of contact for your accounts, through the following: • Help create and execute on the overall vision for services - both sales and delivery • Own the services delivery roadmap (proposals, closing services opportunities and delivery) • Collaborate with cross functional teams to find opportunities, scope, propose and sell services (Professional Services and Training) to both new and existing clients • Develop scope and associated SOWs for customer services engagements • Drive deal reviews internally to ensure alignment - ensure the scope of the project is well defined for customer success • Understand and help optimize business operations processes for services sales • Build strong cross-functional relationships within Snowflake GTM teams (legal, deal desk, account teams, sales, PS&T leadership - including workload services - and partner team) • Provide bookings forecast and demonstrate strong command of your book of business • Align services engagements to key customers business outcomes • Drive alignment with executive sponsors and/or customer stakeholders • Collaborate with other delivery partners (SIs, GSIs, other PS orgs, etc) in support of project delivery • Serve as the initial point of escalation for customer and project team • Own project outcomes and manage project financials (revenue forecasting and expense management) • Maintain a high level of customer satisfaction as reflected in customer survey scores • Collaborate with Education Services team for training delivery • Provide specific services delivery activities for the role/engagement (Business Value roadmap, Business value assessment, strategic roadmap, Data Cloud Assessment, etc) • Deep collaboration with AE/SEs on the account for account strategy • Own and contribute to internal process improvements across your team and the broader Professional Services organization • Develop expertise within their aligned market through working closely with other Practice Directors, Sales teams, and Global Industry Leaders to understand transformational specific use cases and through external research on the current business and technology landscape for your customer base. OUR IDEAL SERVICES PRACTICE MANAGER WILL HAVE: • 10+ years of experience in a Sales and Services Delivery role (or similar capacity) interfacing with executives and dealing with complex, technical implementation projects, roadmapping and revenue forecasting • Direct experience, ideally within the respective market (see job title), in a Data Warehousing, Business Intelligence and/or Cloud field • Strong understanding of business solutions of our target clients, leveraging data as an enabler. Examples include Customer Data Platforms, cross-industry Data sharing, AI, personalization, etc. • Proven track record of meeting booking, utilization, and consumption (or similar) targets • Proven ability to communicate and translate effectively across both internal teams and customer organizational structures, developing technology programs, defining milestones, success criteria, resource allocation, and on-time delivery. • Strong organizational skills, ability to work independently and manage multiple projects simultaneously • Differentiator: Big 5 or boutique strategy consulting experience, ideally with experience achieving or exceeding sales targets. • Differentiator: Experience in a client support and advisory technical role (solution architect, system administrator, technical account manager or equivalent) • Differentiator: Experience in designing, leading, influencing and selling functional solution sets (e.g. Digital Marketing, Supply Chain optimization, Manufacturing Re-engineering) or cross-functional Digital Transformations. WHY JOIN OUR PROFESSIONAL SERVICES TEAM: • Unique opportunity to work on a truly disruptive software product • Get unique, hands-on experience with bleeding edge data warehouse technology • Develop, lead and execute an market-changing initiative • Learn from the best! Join a dedicated, experienced team of professionals Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role:• The estimated base salary range for this role is $184,000 - $241,500. • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Design and scale endpoint security solutions and automate security operations using AI and software engineering. | Requires 5+ years in information security focused on endpoint security and software development proficiency with a bachelor's degree. | At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Staff Security Engineer for our Enterprise Security team. The threats facing modern organizations are evolving at an unprecedented pace — driven by AI, cloud complexity, and an ever-expanding attack surface. Our Enterprise Security team is responsible for protecting Snowflake, our employees, and our customers by designing, implementing, and maintaining robust endpoint security solutions at enterprise scale, defending not just endpoints and identities, but the AI-assisted workflows and intelligent systems that define how the modern enterprise operates. AS A STAFF SECURITY ENGINEER AT SNOWFLAKE, YOU WILL: Design, Build, and Scale: Develop, maintain, and scale Snowflake's endpoint security solutions while actively contributing to architecture and strategy. This includes EDR, DLP, secure browser, MDM, and AI security solutions across a complex multi-cloud, multi-SaaS enterprise environment. Own the technical roadmap for endpoint security tooling as Snowflake rapidly grows. Automate and Engineer: Build intelligent security platforms and automate security operations using AI and robust software engineering. Identify opportunities to reduce toil, increase detection fidelity, and accelerate response through thoughtful, scalable automation. Detect and Prevent: Monitor security events, investigate incidents, and build real-time detection and prevention systems to protect against endpoint compromise and data exfiltration. Develop threat intelligence pipelines that keep us ahead of the adversary. Assess and Mitigate: Conduct regular risk and threat analyses to proactively identify and remediate vulnerabilities end-to-end. Apply zero-trust principles to continuously reduce the attack surface across the endpoint fleet. Policy and Compliance: Develop and implement unified security policies, procedures, and standards for endpoint protection. Ensure alignment with relevant regulatory and compliance frameworks. Collaborate and Guide: Partner across Security, Engineering, IT, and Product to define endpoint security strategy, drive secure engineering practices, and provide technical guidance to staff and end-users. Champion security culture through enablement and education. Raise the Bar: Establish and uphold the highest standards for security engineering — from threat modeling and secure design to detection quality and incident response rigor. Mentor engineers, introduce new techniques and adversarial perspectives, and continuously advance the team's craft. OUR IDEAL STAFF SECURITY ENGINEER WILL HAVE: 5+ years of hands-on experience in information security — including security engineering, threat intelligence or detection, or incident response — with a strong focus on endpoint security. Proficiency in software development using Python, Go, Java, C, C++, or JavaScript, alongside strong experience with AI-assisted development. Hands-on experience designing, deploying, and maintaining endpoint security tools (e.g., EDR, DLP, MDM, secure browsers, AI security solutions) across Windows, macOS, and Linux environments. Strong understanding of operating systems, network protocols, application platforms, endpoint security concepts, and best practices. Experience leading technical projects independently, driving data-informed decisions, and executing end-to-end. A bachelor's degree in Computer Science, Information Security, or a related technical field, or equivalent practical experience. BONUS POINTS FOR THE FOLLOWING: Master's degree in Information Security, Computer Science, or a related technical field. Experience with infrastructure from major cloud providers (AWS, GCP, Azure) and enterprise SaaS platforms at scale. Relevant industry certifications such as CISSP, CEH, or Security+. Demonstrated ability to communicate complex security concepts to both technical and non-technical audiences, including executive stakeholders. WHY JOIN OUR ENTERPRISE SECURITY TEAM AT SNOWFLAKE? Snowflake is one of the fastest-growing enterprise software companies in history, and the Security Foundations team sits at the center of it — protecting not just the company, but the customers and data that power the modern data economy. You'll have the opportunity to shape the direction of our security roadmap and build foundational security primitives while working closely with Engineering, IT, and Product teams across a globally distributed, multi-cloud, multi-SaaS environment. This is a rare opportunity to build security programs from the ground up, at a scale and speed few companies match, with teammates who are among the best in the industry. If you're energized by hard problems, believe security is a product discipline as much as a defensive one, and want your work to matter at global scale — Snowflake is where you build what's next. How do you want to make your impact? Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com