Snowflake

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. 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'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

Design and build production-ready AI applications and workflow automation tools to accelerate go-to-market teams. | Requires 5+ years in applied AI or machine learning engineering with strong Python and SQL skills and proven production-grade LLM system delivery. | 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 We are seeking a Senior AI Engineer to build AI-powered applications and workflows that accelerate Snowflake’s go-to-market teams. This role sits within Data, Analytics & AI and focuses on turning ambiguous business problems into production-ready AI applications that improve how Snowflake teams work every day. The right candidate combines strong applied AI instincts with practical software, data, and product judgment, and is excited to partner closely with business stakeholders to ship systems that are useful, reliable, and measurable. Within DAA, this role helps advance Snowflake’s internal AI transformation by building high-impact GTM applications and workflows, improving how teams use data and AI in practice, and helping shape scalable patterns for future solutions. This role will help Snowflake act as Customer Zero for AI-powered GTM workflows by applying modern LLM capabilities and Snowflake AI products to real internal use cases, learning from adoption in production, and translating those learnings into scalable patterns and actionable product feedback. What You’ll Do Design, build, and maintain AI applications, and workflow automation tools for GTM use cases across the full product lifecycle, from problem definition and prototyping through production deployment, iteration, and ongoing support Independently scope and deliver medium-sized projects, and contribute meaningfully to larger cross-functional initiatives Translate ambiguous business needs into practical technical plans, balancing speed, maintainability, quality, and long-term architecture Partner closely with teams such as Sales, Marketing, Customer Support, Product, and Engineering to understand workflow pain points and deliver solutions that improve productivity, decision-making, and execution Apply modern LLM capabilities and Snowflake AI products in production-oriented ways to solve real business problems, including knowledge-rich workflows, internal copilots, recommendation systems, and decision-support applications Work across the data, application, and AI stack, including semantic layers, retrieval systems, orchestration patterns, evaluation, and application logic Build AI systems grounded in trusted enterprise data and strong engineering practices, with attention to reliability, observability, testing, measurement, and maintainability Own production quality for delivered solutions, including debugging, monitoring, issue triage, and continuous improvement based on user feedback and operational signals Help Snowflake act as Customer Zero by turning internal usage insights, workflow learnings, and implementation challenges into actionable feedback for product and platform teams Contribute to team quality through strong documentation, reusable patterns, automation, and thoughtful engineering standards Act as a go-to engineer in at least one area, help diagnose issues beyond your immediate domain, and mentor more junior teammates Communicate clearly with stakeholders on scope, tradeoffs, timelines, risks, and outcomes What We’re Looking For Hands-on experience building and shipping applied AI or LLM-based systems for real user workflows Demonstrated ability to independently own and deliver production-grade AI applications or workflow automation solutions for a business function or product area 5+ years of experience in applied AI, machine learning engineering, data applications, or related technical roles Strong Python and SQL skills, plus comfort working with data-intensive applications and modern data platforms Experience with prompt design, evaluation, observability, orchestration, and production hardening for AI systems Experience building systems that combine AI capabilities with semantic layers, retrieval systems, or other knowledge-rich workflows Good judgment in turning ambiguous business problems into scoped, iterative deliverables Experience collaborating directly with business stakeholders and translating workflow pain points into product solutions Strong communication skills and a bias toward shipping, learning, and iterating A quality mindset around testing, measurement, reliability, maintainability, and responsible use of enterprise data Experience operating effectively in fast-moving, ambiguous environments with changing priorities Nice to Have Experience with Snowflake platform capabilities, including Cortex and related AI workflows Experience building internal AI assistants, recommendation features, workflow automation, or decision-support applications Familiarity with GTM, sales productivity, marketing operations, customer support, or business process automation domains Experience working with trusted semantic layers, retrieval systems, and AI systems grounded in enterprise data Familiarity with analytics engineering, data modeling, or governed enterprise data architectures Experience translating internal implementation learnings into repeatable patterns, platform requirements, or product feedback 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

Design and build continuous deployment infrastructure and develop autonomous release workflows to improve deployment safety and developer productivity. | Strong software engineering skills in systems languages like Golang or Java and experience with Kubernetes-based production platforms and observability tools. | 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’s Release Engineering team builds and operates the systems that safely deliver infrastructure, platform, and product changes to production at global scale. We own the release platforms, rollout orchestration, and safety mechanisms that allow engineering teams across Snowflake to ship quickly while minimizing operational risk. Our mission is to make production deployments fast, safe, self-service, increasingly autonomous, and augmented by AI-driven intelligence and automation. This role sits at the intersection of developer productivity, distributed systems reliability, and large-scale multi-cloud infrastructure orchestration. At Snowflake, Release Engineering is a platform engineering function focused on building the systems, abstractions, and automation that make software delivery safe, scalable, and efficient across the company. In this role, you will Design and build continuous deployment and rollout infrastructure that safely ships changes across Snowflake’s large-scale, multi-cloud production environment. Build and evolve platform capabilities for progressive delivery, including staged rollouts, canarying, automated health checks, rollback controls, and guardrails that reduce blast radius during production change events. Improve engineering velocity by removing friction from release pipelines and replacing manual workflows with durable platform abstractions and automation. Build internal platforms that support large-scale release orchestration, application rollouts on Kubernetes, and broader production change workflows. Partner with product and infrastructure teams to make their services easier to deploy, validate, observe, and operate through well-designed platform capabilities. Implement and evolve deployment methodologies such as GitOps-inspired workflows, infrastructure as code, policy-driven automation, and progressive delivery patterns appropriate for Snowflake’s environment. Build systems that evaluate rollout health using metrics, logs, alerts, and operational signals to detect regressions early and trigger safe mitigation or rollback paths. Develop self-service developer tooling that enables teams across Snowflake to adopt safe deployment patterns without requiring deep release expertise. Build automation and guardrails that reduce operational toil and make production change workflows more consistent, scalable, and resilient. Design and build AI-assisted, agentic-driven, and increasingly autonomous release workflows that improve rollout intelligence, developer productivity, and deployment safety. You may be a strong fit if you Have experience building or operating continuous deployment, release engineering, or production change platforms at scale. Have worked with Kubernetes-based systems and understand how to safely roll changes across distributed production environments. Have strong software engineering skills in Golang, Java, C++, or similar systems languages, along with Python, Bash, or similar scripting languages. Have experience with distributed systems, infrastructure automation, CI/CD pipelines, and cloud environments. Bring a data-driven mindset and have experience using observability platforms such as Prometheus, Datadog, or Grafana to evaluate system and rollout health. Care deeply about safe production rollouts, developer experience, minimizing blast radius, and building systems that make the right operational path the easiest one. Enjoy building internal platforms and self-service systems that improve developer productivity across a large engineering organization. Apply a combined software engineering and DevOps mindset to design, build, and continuously improve large-scale delivery platforms in production. Are excited about applying AI and intelligent automation to release operations, deployment safety, and autonomous workflows. 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

Design and maintain core components of a streaming ingestion platform ensuring reliability and scalability. | 3-5 years experience with large-scale distributed systems and proficiency in Java or C++ with deep understanding of consistency and fault tolerance. | 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. Our team builds and operates Snowflake's Streaming Platform — the core infrastructure responsible for bringing data into Snowflake continuously and at scale. This includes Snowpipe Streaming and Datastream, services used by large set of enterprise customers to move mission-critical data in real time. Data is the fuel powering the new enterprise AI world, and we are the team responsible for getting it there reliably, continuously, and fast. Responsibilities Design, build, and maintain core components of Snowflake's streaming ingestion platform Improve service reliability, scalability, and latency under high-throughput production workloads Debug and resolve incidents in a distributed, multi-tenant cloud service Contribute to the design and evolution of streaming APIs, SDKs, and server-side protocols Write comprehensive tests including unit, integration, and chaos/fault-injection scenarios Collaborate with partner teams (storage, query, compute) on cross-cutting platform concerns Participate in code reviews, on-call rotations, and architecture discussions Required Qualifications 3–5 years of software engineering experience on large-scale distributed systems or cloud services Strong proficiency in Java or C++ Deep understanding of distributed systems concepts: consistency, fault tolerance, replication, and backpressure Experience building or operating high-throughput, low-latency services in production Strong debugging skills across the stack — from application logic to network and storage layers Familiarity with cloud infrastructure and multi-tenant service design Nice to Have Experience building streaming or ingestion systems (Kafka, Kinesis, Flink, or similar) Familiarity with database internals — WAL, columnar storage, or transaction processing Experience with observability tooling at scale (distributed tracing, metrics pipelines) Prior work on a cloud-native SaaS platform (Snowflake, Databricks, Google BigQuery, etc.) 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

Develop and deploy AI-assisted threat detections and automate detection workflows to improve security posture. | Experience in security engineering, coding (Python, Go), cloud platforms, and automation with a risk-based security approach. | 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 heavily in AI-powered threat detection and response to protect our customers and our environment at cloud scale. We are looking for a Security Engineer – Threat Detection who will help enhance Snowflake’s Threat Detection Program and extend the reach and impact of Threat Detection across Snowflake, with AI and automation as core primitives in how we detect, triage, and respond to threats. You will combine security expertise with strong engineering skills to build, maintain, and evolve detections and supporting pipelines. The ideal candidate seeks to gain a strong understanding of the Snowflake Product and Corporate environment, then uses that knowledge to create, optimize, and continuously improve detections that mitigate identified risks. You will partner with stakeholders across Security and Engineering, making informed, data-driven decisions based on threat models, proactive threat hunts, and data science–oriented exploration of logs and telemetry. You will make recommendations for detective and preventative controls, and you will design and build automations and AI-driven workflows that enhance our security posture and reduce mean time to detect and respond. WHAT YOU NEED: • Security Engineering Experience (Threat Detection, Incident Response, Threat Hunting, Product Security, Corporate Security, or other related disciplines) • Solid experience writing code—whether in software engineering, data engineering, or building automations (Python, Go, etc.), with a desire to apply these skills to AI/ML-powered use cases in detection and response. • Experience collaborating with various security teams and stakeholders • Ability to review and analyze logging and observability requirements that support detection and response • A risk-based approach to security to help prioritize key security initiatives and determine when AI provides meaningful value over traditional rules and heuristics. • Knowledge of the current security landscape with domain knowledge in several of: cloud security, identity and access, SaaS security, endpoint security, data security, and insider risk. • An automation-first mindset for scaling security, including comfort with CI/CD, infrastructure as code, and “detections as code.” • Be a humble, team-oriented engineer who prioritizes team success in a zero-ego environment. WHAT YOU WILL DO: • Develop and deploy detections using modern engineering practices (testing/validation, CI/CD pipelines, detections as code, detection development lifecycle, etc.), including both rules-based and AI-assisted detections. • Mature our threat detection program by analyzing gaps and mitigating risks via detective controls, including experimentation with AI/ML approaches where they improve signal-to-noise ratio or analyst efficiency. • Build and maintain strong partnerships with our stakeholders to provide detection as a service, including self-service patterns, reusable components, and AI-enhanced detections that support their domains. • Continuously measure and improve detection quality (coverage, precision/recall, false positive rate, latency) MINIMUM QUALIFICATIONS: • Experience with development in a high-level programming language (Go, Python, etc.), and comfort applying those skills to data-heavy, automation, or AI-related projects. • Experience handling data programmatically (SQL, Python, etc.), ideally including large-scale log and telemetry datasets used for detection logic or analytics. • Experience writing production code including unit tests, version control, and CI/CD integration. • Experience with at least one major cloud provider (AWS, Azure, GCP) and understanding of its native logging, monitoring, and security services. • Familiarity with the risks that impact SaaS products and workstations (e.g., account compromise, data exfiltration, phishing, supply chain attacks) PREFERRED QUALIFICATIONS: • Computer Science degree or equivalent practical experience • Experience developing and working with systems that utilize infrastructure as code (e.g., Terraform, CloudFormation), and/or “detections as code” frameworks • Experience building and maintaining production-level software or platforms that process high-volume data streams (e.g., logging, metrics, traces) or power security analytics • Experience deploying detections at a global scale • Experience with Snowflake or equivalent cloud data platforms, including building data pipelines or analytics that could support security workloads WHY YOU SHOULD WORK WITH US: • We are laser focused on doing security in the agentic era, 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 both mandate and runway to invest in next-generation, AI-driven detection and response capabilities • We are a great team with a diverse set of backgrounds and skills and we are excited to add engineers who want to push the frontier of AI in security • You want to be part of a team solving Security Threat Detection at a global scale, leveraging Snowflake’s own data platform and AI capabilities to build detections and workflows that meaningfully raise the bar for defenders • Did we mention we are one of the fastest-growing software companies ever? The opportunity for impact—on both Snowflake and the broader security ecosystem—is enormous 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 $122,000 - $174,800. • 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 manage security operations and detection engineering programs with a focus on SOC and MDR delivery. | Extensive experience in security operations leadership, SOC management, and detection engineering with strong technical and consulting 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 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. 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 develop features for a cloud-native compute platform and lead engineering teams. | 7+ years experience with large-scale systems, proficiency in Java, C++, or Go, and Kubernetes 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 looking for a talented and passionate Senior Software Engineer for our Snowpark Container Service, part of our Snowflake Compute Platform - to build our elastic, high-scale, high-performance, cloud native compute platform to enable bringing Compute to Data effortless and simple. Snowpark Container Services is a fully managed container offering that helps our customers easily deploy, manage, and scale containerized applications without having to move data out of Snowflake. As a fully managed service, it comes with Snowflake security, configuration, and operational best practices built in. You will be part of this highly productive, fast moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission. AS A SENIOR SOFTWARE ENGINEER, YOU WILL: ● Design and develop features, understand customer requirements and meet business goals. ● Lead a team of engineers, including mentoring and guiding them, and build technical direction and strategy for large and critical parts of the product surface area. ● Manage all aspects of the Project, including Design, Coding, Reviews, Testing, Observability, Tooling and On-Call support. ● Build highly reliable and fault-tolerant software to meet the needs of the largest customers. ● Ensure operational readiness and maintainability of the service with heavy focus on reliability, availability, debuggability and performance. ● Design and build Kubernetes based OCI compliant container compute platform features and capabilities that scale and evolve with changing business and customer needs. ● Snowpark Container Services is still in an early stage of development - it is an amazing opportunity for outsized impact on Snowflake’s growth story. OUR IDEAL CANDIDATE WILL HAVE MOST OF THE FOLLOWING QUALIFICATIONS: ● Excitement to learn new things - passion to learn and grow are keys to success on this team. ● Be a team player - Our team culture is a priority. Transparency, knowledge sharing, fun events, and helping each other are all part of our work environment ● Work across functions and across teams - we don’t only work on code that we own, we work with other parts of Snowflake every day. ● 7+ years of industry experience building features and capabilities of large scale systems or infrastructure level platforms. ● Extremely strong fundamental computer science skills and experience building distributed systems. ● Hands-on coding experience in Java, C++ or Go is highly desirable ● Ability to work on-site in our downtown Bellevue office. BONUS POINTS FOR THE FOLLOWING INDUSTRY EXPERIENCE: ● Experience building products or services with Kubernetes. ● Designing and implementing products and features with multi-cloud support (AWS, Azure, GCP). ● Implementing multi-tenant systems with focus on performance, isolation and security. 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 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

Develop and evolve AI-driven developer experience platforms and optimize build systems to improve engineering productivity. | 6+ years corporate software development with fluency in Java, C++, Python, or Golang and strong CS fundamentals. | 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 Developer Experience team empowers Snowflake engineers to do what they do best: write and ship highly reliable code fast. Our vision is to build the world's best Developer Experiences platform using the latest AI advancements. We own Bazel Build systems, IDEs, and Cloud Workspaces. We use the latest AI technologies to solve Snowflake’s engineering problems. Almost all Snowflake engineers use our products daily. This is a high-impact, high-visibility team which defines Snowflake's engineering culture. Alongside industry experts in developer productivity, you will evolve our infrastructure and tooling to be elastic, performant and easy-to-use. If you have a passion to make developers highly productive and a knack for using the latest AI advancements to solve real-world problems, we would love to talk. OUR IDEAL SOFTWARE ENGINEER WILL HAVE: 6+ years of hands-on software development experience in a corporate environment. Strong inclination to use and innovate using AI tools A strong passion for making developers highly productive. A track record of flawless technical execution. Excellent problem solving skills and strong CS fundamentals including data structures, algorithms, and distributed systems. Fluency in Java, C++, Python or Golang. Ability to work in a highly collaborative team environment. Excellent interpersonal communication skills. Outstanding written and oral English language skills. Ability to work on-site at our Bellevue, WA or Menlo Park, CA office. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: Experience working on enterprise-grade build systems. Developing data or distributed systems internals. Experience with Bazel and / or observability. 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

Lead end-to-end procure-to-pay operations including procurement, accounts payable, and contracts while driving AI and automation projects. | 8+ years in P2P or finance operations with 3+ years managing people, experience in operational transformation, AI/automation tools, and ERP proficiency. | 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 Snowflake is transforming how enterprise Procure to Pay operates — and we're looking for a senior operations leader to help us execute on that vision. This is not a role for someone who wants to maintain the status quo. We have agentic AI projects in flight, a best-in-class technology stack, and a team that is motivated to build something the industry hasn't seen before. We need someone who can run the operation at a high level while simultaneously driving execution on the automation and AI initiatives already on our roadmap. As Sr. Manager of Procure to Pay Operations, you will own the operational performance of our end-to-end P2P function — spanning Procurement, Accounts Payable, Strategic Sourcing, Travel & Expense, and Global Contracts. You will report directly to the Chief Procurement Officer and serve as the operational backbone of a global, fast-moving team. What You'll Do Own P2P Operations End to End Lead day-to-day operations across Procurement, AP, Strategic Sourcing, T&E, and Global Contracts Ensure SLA performance, approval cycle times, and process compliance meet or exceed targets across all functions Establish clear ownership, operating rhythms, and accountability across a globally distributed team Serve as the primary operational escalation point for cross-functional stakeholders in Finance, Legal, and Security Drive Automation & Agentic AI Execution Own the execution of agentic AI and automation projects already in flight across the P2P stack Partner with engineering, product, and AI teams to move automation initiatives from roadmap to production Identify additional automation opportunities across the procure-to-pay lifecycle and build the business case Champion AI tool adoption across the team — setting the standard for how the function leverages technology to scale Lead and Develop the Team Manage a team of procurement, AP, and sourcing professionals across multiple geographies Build a high-performance culture with clear expectations, strong feedback loops, and a focus on continuous improvement Develop team members' capabilities in both operational excellence and AI-enabled ways of working Deliver Visibility and Insights Own P2P reporting and metrics — ensuring leadership has real-time visibility into spend, cycle times, SLA performance, and process health Surface insights that drive better decision-making across Finance, Sourcing, and the business Partner with FP&A on committed spend, budget alignment, and accrual accuracy What We're Looking For Required 8+ years of experience in Procure to Pay, Finance Operations, or a related field — with at least 3 years in a people management role Proven track record leading operational transformation in a P2P or S2P environment — you have built things, not just run them Hands-on experience with AI, automation, or agentic workflow tools in an operational context — you understand how to translate technology into process improvement Deep familiarity with Workday or a comparable ERP, and procurement intake platforms such as Zip, Coupa, or SAP Ariba Strong cross-functional stakeholder management skills — you are equally comfortable with Legal, Finance, Security, and business unit leaders Executive-level communication skills — you can distill complexity into clarity for a CPO or CFO audience Experience managing globally distributed teams across multiple time zones Nice to Have Experience with Navan, ServiceNow, or similar T&E and ITSM platforms Familiarity with Snowflake or other modern data platforms Background in a high-growth technology company with a scaled P2P operation Experience working alongside engineering or AI product teams to deliver automation at scale Why Snowflake At Snowflake, we don't just use technology — we run on it. Our P2P function is one of the most advanced in the industry, leveraging our own platform alongside best-in-class agentic AI tools to fundamentally change how procurement and finance operations work. This is an opportunity to be at the center of that transformation — to take a roadmap that already exists and drive it to completion, while building the kind of operation that others will study and replicate. If you are energized by execution, motivated by innovation, and want to lead a team doing work that genuinely matters, this is the role for you. Equal Opportunity Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws. 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 technical discovery and solution design engagements to align Snowflake Data Cloud capabilities with business outcomes. | 8+ years in data engineering, AI/ML, or cloud architecture with proficiency in SQL and Python/Java/Scala and experience in customer-facing pre-sales or consulting roles. | 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 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 Compensation & Benefits 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

Lead GTM planning team to design and execute sales capacity, territory, quota, and compensation models aligned with strategic revenue goals. | Requires 9+ years in GTM strategy and operations with deep expertise in sales planning, data analysis, and cross-functional collaboration at enterprise tech companies. | 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. Where Data Does More. Join the Snowflake team. Snowflake’s Sales Operations organization is seeking a Sales Operations Director for Go-to-Market (GTM) Planning to lead our GTM Planning team. In this role, you will apply subject matter expertise, learned knowledge of Snowflake, and pragmatic frameworks to drive key GTM strategy analytics, organization, and process design. You will be responsible for building the methodologies and guidelines to enable GTM planning, developing the systems and processes to conduct GTM planning with efficiency and operational rigor, and designing global programs & policies to drive consistent execution. Additionally, you will partner closely with our Field Operations team on territory planning, GTM resource planning, and target setting to align with Snowflake’s strategic priorities and revenue goal. Work Location: This position is based exclusively in Menlo Park, CA. Alternative locations are not available at this time. IN THIS ROLE YOU WILL GET TO: • Own annual GTM planning workstreams and ensure successful execution of planning activities such as territory design, headcount deployment, and quota allocation. • Architect complex models, including our sales capacity model, pipegen model, and help drive commissions compliance. • Partner with Field Operations on territory and quota operations across geographies to ensure consistent and timely distribution of territories, quotas, and sales compensation plans. • Design, document, and deliver enablement on policies for managing account and quota assignment changes. • Work collaboratively with cross-functional teams to drive alignment on sales planning and operational processes and execution towards Snowflake’s sales and revenue goals. • Perform regular quota and attainment reviews across the global sales teams to ensure accurate performance reporting and commissions processing. • Develop scalable systems and tools to support sales planning and operational processes. • Be a trusted thought leader by providing strategic recommendations and delivering innovative solutions to support the growth and scale of Snowflake’s business. ON DAY ONE WE WILL EXPECT YOU TO HAVE : • 9+ years of professional experience with a core focus in GTM strategy, planning, and operations; operations experience at high growth enterprise technology industry experience is highly preferred. Experience with consumption revenue models is highly preferred. • Deep experience and understanding of the overall sales planning process with the ability to dive deep on capacity model, territory design, quota deployment, and headcount mandatory. • Proven ability to structure complex problems, derive insights from data, develop solutions, craft recommendations into executive presentations, and articulate clearly with stakeholders up to the senior leadership level. • Ability to manage multiple concurrent projects and adjust on the fly to new demands with a sense of urgency. • Demonstrated proficiency in cross-functional collaboration and ability to influence and get things done across functional domains. • Proficiency with data analysis/manipulation tools like SQL and Excel. • Experience with CRM and sales planning tools like Salesforce, Anaplan and/or Pigment. • Bachelor degree in business, statistics, economics, or other quantitative disciplines; MBA a plus. 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 $252,000 - $330,700. • 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 system architecture, AI automation, and delivery operations to optimize and scale global delivery workflows. | 7–12+ years in delivery operations or PSA/ERP systems with expertise in AI automation, workflow design, and cross-functional leadership. | 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. Location: Menlo Park, CA, Chicago, IL, or Denver, CO (in office) Team: Global Delivery Operations About the Role We’re looking for a Delivery Operations Systems and Process Manager to architect, optimize, and scale the systems and AI automation that power our global delivery organization. This is an individual contributor role with broad influence and deep ownership across Certinia PSA, Snowflake Smartsheet, and delivery operations workflows. You will be a core business partner to Global Delivery Leadership, the Director of BizOps and Snowflake’s Data, Analytics and AI team; designing the systems roadmap and building intelligent automation that make our delivery engine run with precision, predictability, and scale. You will work with Enterprise Technology and GTM Systems to architect solutions and roll out changes to the organization. If you’re a systems architect at heart, obsessed with operational excellence, and energized by AI‑driven transformation, this is the role where you’ll have outsized impact. What You’ll Own Systems Architecture & Delivery Infrastructure • Lead system roadmap planning, release management, and cross‑functional alignment • Own the end‑to‑end roadmap, optimization, and governance of Certinia PSA and Salesforce • Work with Enterprise Technology and GTM Systems on sprint cycles and own Delivery System Change Management AI Automation & Intelligent Operations • Design and deploy AI‑powered workflows for: • Project health scanning & anomaly detection • Staffing intelligence & skill‑based routing • Predictive forecasting & margin insights • GenAI project and customer summaries Delivery Operations • Automate manual workflows across staffing, project setup, billing, and customer success • Partner with BizOps to ensure strong data governance, compliance, and system integrity • Ability to identify and solve inefficient existing patterns • Leverage AI to implement operational improvements Strategic Business Partnering • Serve as the primary systems and operations advisor to: • Global Delivery Leadership • Director of BizOps • Finance, RevOps, and CX • Translate business strategy into scalable systems, data models, and automation • Lead cross‑functional initiatives that improve predictability and customer outcomes What You Bring • 7–12+ years in delivery operations, PSA/ERP systems engineering, or professional services operations • Deep experience with Certinia or financial force PSA/ERP/CS (or equivalent PSA platforms) • Proven track record implementing AI automation, predictive analytics, or agentic workflows • Experience leveraging coding agents • Expertise in workflow design, systems architecture, and data governance • Excellent communication and cross‑functional leadership skills Bonus Points • Salesforce platform experience • Background in SaaS, consulting, or enterprise technology delivery • Experience supporting global delivery teams • Understanding of revenue recognition, forecasting, and services margin optimization 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 3, 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 $139,000 - $182,700. • 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 post-sales technical engagements and collaborate cross-functionally to support and grow customer workloads. | Requires 8+ years managing enterprise customer environments, Snowflake product experience, 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’s Account 360 team is expanding! We are looking for a Senior Technical Account Manager to join our team. This role combines hands-on technical and commercial responsibilities. On the technical side, you will lead post-sales technical engagements for your assigned customers’ Snowflake workloads. You will also engage product, engineering, support, and other cross-functional team members to advocate for customer-impacting issues at scale, proactively educate customers post-production, and provide technical guidance. On the commercial side, you will work closely with the account team to drive growth for your assigned customers’ use cases by engaging with stakeholders and developing actionable plans. This will require you to leverage your technical skills and expertise to engage and communicate effectively at all levels within an organization. As a Senior Technical Account Manager, you will: • Collaborate regularly with Solutions Engineers to identify strategies that enable customers to achieve their business goals and recommend these proactively to customers • Develop a deep understanding of your assigned customer's environment, use cases, and challenges, and provide expert technical advice post-production • Develop, manage, and implement a strategy for efficient workload consumption • Work with Snowflake Product and Engineering teams to access new product features, private previews, and platform upgrade requirements • Act as the technical advisor for production workloads, often advising on multiple use cases within large, complex organizations • Lead customers through Well-Architected Framework outcomes, including security hardening (MFA, SSO/SAML, RBAC), DR/BCP readiness, AI observability and alerting design, platform modernization, and performance and cost optimization • Leverage AI tools to develop scalable playbooks, skills, and automation that enable the broader CX organization to deliver technical outcomes faster and more consistently • Willingness to travel regionally to customer locations, deliver on-site solutions, and build strong customer relationships Our Ideal Senior Technical Account Manager will have: • B.S. or M.S degree in Computer Science, Information Systems, Engineering, or equivalent practical experience • Hands-on experience with Python and SQL • 8+ years of experience managing enterprise customer environments as a technical resource, or equivalent role • 5+ years of experience working with AWS, Azure, GCP, and/or a private cloud environment • Firsthand Snowflake product experience is required • Experience in customer-facing roles such as solutions engineering, technical architecture, or data architecture consulting • Expertise in one of the following industries: Retail/CG, Financial Services, Healthcare, Media & Advertising • Hands-on experience in database management, data engineering, and data science • Experience working within the partner ecosystem as it pertains to Snowflake solutions • Skilled in resolving complex escalations with senior customer executives • Excellent verbal, written, communication, and receptive listening skills • High levels of emotional intelligence (EQ), empathy, proactivity, and the ability to advocate for both customers and internal teams • Successful experience working, collaborating, and establishing relationships with leadership, colleagues, and clients • Excellent team player able to work with virtual and global cross-functional teams Nice to Have: • Snowflake, AWS, GCP, or Azure Cloud Certification(s) preferred • Snowflake SnowPro Advanced Certification is strongly preferred 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 $130,000 - $170,100. • 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 development and management of compliance product roadmap collaborating with engineering, legal, and risk teams to meet regulatory requirements. | 3+ years product management experience, preferably in compliance or security, with ability to work with technical teams and navigate complex decision-making. | 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. AS A PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: Be a critical member of the Snowflake’s compliance team for our global business including regulated industries across numerous strategic verticals. In this new position, you will help develop and manage the global compliance product roadmap and vision. You will be working very closely with engineering, risk management, compliance , legal, and security to develop a strong understanding of customer use cases & regulatory requirements. You will work with engineering architects to define creative, differentiating product solutions with well defined priorities as part of a fairly strategic product roadmap. You have to be able to work through ambiguity to be able to get results. You will leverage your relationships with your key internal stakeholders to align on priorities and provide prioritized use cases for your engineering partners. You will also work with a number of external authorities and customers to achieve the necessary compliance certifications and validate the product strategy and approach. This role is fairly strategic and will require the ability to present and review with Snowflake’s Executive Team. OUR IDEAL PRODUCT MANAGER WILL HAVE: • 3+ years experience in Product Management and, preferably, exposure to a Compliance, Privacy, or Security related area. • Experience working directly with technical engineering teams • Has experience with security products and expansion into regulated markets • An ability to navigate complex decision-making and effectively communicate across teams will be critical to success. • Demonstrable ability to work effectively with both, technical and business leaders • Understanding and ability to define technical specifications, write high-level documents, and interpret security and compliance requirements into concrete product requirements • Excellent communication and proven track record with deep customer engagements, hands-on execution and timely delivery BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: • Passionate about Security, Compliance, and Privacy technologies and requirements • Experience in defining our product strategy for Government entities, strongly regulated industries like financial services and healthcare • Good understanding about compliance topics like FedRAMP (Moderate | High), FedRAMP+ IL4/5/6, GDPR, GxP, ITAR, IRAP and alike • Data is in your DNA – you are comfortable with data, analytics and solving data challenges in a creative and compliant fashion. • You love providing both quantitative and qualitative metrics to build a roadmap and inspire cross-functional teams. • You have deep empathy for various stakeholders that impact your product. • You know how to work with key groups like Engineering, sales, marketing, finance, legal, and customer service. • You know how to navigate in ambiguous environments with creativity and trade offs 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 - $230,000. • 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.

Design and build backend services for provisioning, lifecycle management, and security of Snowflake Postgres instances while improving reliability and observability. | 5+ years backend or distributed systems experience with proficiency in Java, Go, C++, or Python and a relevant 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. Snowflake is growing fast, and we are building the world’s leading data and applications platform. Our engineering teams solve hard technical problems at massive scale while delivering secure, reliable, and easy-to-use products for customers around the world. The Snowflake Postgres team is building a managed Postgres experience inside Snowflake. This role is focused on the control plane and user model that power how customers provision, manage, secure, and operate Postgres in Snowflake. You will work on core backend systems that sit at the intersection of distributed systems, database infrastructure, security, and operational excellence. In this role, you will: Design and build backend services that power provisioning, lifecycle management, and configuration of Snowflake Postgres instances. Develop features in the access and user model, including authorization, secure administration flows, and customer-facing management capabilities. Improve the reliability, observability, and operability of asynchronous workflows and background systems that keep the service healthy. Partner with product, security, and adjacent engineering teams to deliver simple customer experiences on top of complex infrastructure. Investigate production issues, participate in on-call, and drive fixes that improve resilience and reduce operational burden. Contribute to technical design, code review, and mentoring while helping raise the engineering bar across the team. Our ideal candidate will have most of the following qualifications: Core requirements 5+ years of experience building production software in backend, infrastructure, or distributed systems environments. Strong programming skills in one or more of Java, Go, C++, or Python. Strong computer science fundamentals, including concurrency, networking, APIs, and data structures. Experience designing and operating reliable services in production, including debugging, monitoring, and incident response. Experience working across technical boundaries with product, security, and other engineering teams. BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience. Nice to have Experience with PostgreSQL, database internals, or managed database platforms. Experience with identity, authorization, RBAC, or other security-sensitive systems. Experience with cloud infrastructure on AWS, Azure, or GCP. Experience with workflow orchestration, control plane systems, or highly asynchronous service architectures. Why join this team? Work on a strategic product area that expands Snowflake into transactional and operational database workloads. Build systems that directly shape how customers create, manage, and secure Postgres inside Snowflake. Tackle a mix of product engineering, infrastructure, reliability, and security problems. Join a collaborative team with meaningful ownership, strong technical challenges, and room to grow. Snowflake is scaling quickly, and we are looking for engineers who are curious, pragmatic, and excited to build high-quality systems with real customer impact. If you enjoy solving hard problems, improving operational excellence, and building products that sit close to the heart of the platform, 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