Snowflake

Own and execute the technical roadmap for Snowflake's largest customers and lead a global team of Solution Engineers. | 8+ years in technical sales or solution engineering with experience managing large accounts and leading teams, plus expertise in Snowflake Cloud Data Platform. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Global Account Manager, Solution Engineering Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Solution Engineering organization is seeking a Global Account Manager (GAM SE) to lead the technical vision for our most strategic global accounts. We are looking for a visionary leader who can architect comprehensive technical strategies while navigating the complexities of a global enterprise ecosystem. In this role, you will be the technical heartbeat of the account, partnering intimately with Global Account Managers to align Snowflake’s Cloud Data Platform with overarching business objectives. You aren’t just a contributor; you are the owner of the global technical roadmap, responsible for driving adoption, mentoring regional SE teams, and ultimately carrying the global account target. You are equally comfortable in a high-stakes boardroom, presenting to CTOs and CIOs, as you are "talking shop" with technical architects to solve the world's most complex data challenges. IN THIS ROLE YOU WILL GET TO: Architect Global Strategy: Own and execute the end-to-end technical roadmap for Snowflake’s largest global customers, ensuring seamless alignment across every region and subsidiary. Drive Massive Impact: Directly influence and carry the global account’s annual target by demonstrating the undeniable value proposition of Snowflake’s evolving technology stack. Lead and Mentor: Act as a force multiplier by directly managing or indirectly influencing a global cohort of Solution Engineers, providing the strategic guidance needed to win complex sales cycles. Partner at the Summit: Form a formidable leadership duo with the Global Account Manager (GAM), blending technical excellence with commercial strategy to secure and expand Snowflake’s footprint. Innovate & Evangelize: Stay at the forefront of the industry, translating emerging trends into innovative solutions that differentiate Snowflake from the competition. ON DAY ONE, WE WILL EXPECT YOU TO HAVE: 8+ years of experience in technical sales or solution engineering, with a proven track record of managing large-scale, complex accounts. Experience managing direct reports or leading cross-functional technical teams through influence and collaboration. Exceptional ability to act as a trusted advisor to C-suite technical stakeholders, translating complex technical roadmaps into business value. Mastery of the Snowflake Cloud Data Platform and a broad understanding of the data ecosystem, including Data Lake, Mesh, and AI/ML integration. The ability to navigate different regional markets and cultures to ensure a unified technical approach for the client. A collaborative spirit that thrives in high-pressure, high-reward environments where technical and commercial success go hand-in-hand. 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 $252,000 - $330,750. The estimated base salary for this role is $189,000 - $248,062. 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.

Accelerate AI/ML customer journey technical wins and production deployments with System Integrator partners through strategic alignment, POCs, and developing deployment frameworks. | 10+ years industry experience including 5+ years pre-sales at large System Integrators, hands-on Cloud ML platforms, MLOps/CI/CD, and strong Python and SQL skills. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Principal Data Cloud Architect - SI Partners We are seeking a highly experienced and results-driven AI/ML focused Principal Data Cloud Architect to join our Partner Solution Engineering (PSE) team. Our mission is to empower System Integrator (SI) partners to rapidly achieve technical wins and successful production deployments of AI/ML solutions on the Snowflake AI Data Cloud. Snowflake, the AI Data Cloud, enables teams to seamlessly run analytical workflows, develop agentic apps, and train models using both structured and unstructured data. With over 4,000 customers leveraging our gen AI and ML technology weekly, we are at the forefront of AI innovation. This role is crucial in accelerating AI/ML customer journey technical wins and production deployments being implemented by SI partners. As a Principal Data Cloud Architect - SI Partners, you will perform: Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration): Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption, informed by your understanding of SI partner needs. Expedited POCs and RFPs: Provide support for partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes, informed by your SI proposal experience. Rapid Deployment Frameworks: Develop and share best practices and POC frameworks specifically designed to accelerate the deployment of prioritized AI/ML customer journeys, based on your SI project implementation knowledge. SI Partner Snowflake Practice Building (Focus on Production Readiness): COE for Rapid Implementation: Collaborate on creating and managing Partner Snowflake Centers of Excellence (COE) with a focus on accelerating AI/ML deployments, leveraging your SI center of excellence experience. Accelerated Capability Maturity: Drive partner capabilities maturity for each AI/ML product category, emphasizing hands-on skills and practical knowledge, informed by your SI skill development experience. Targeted Communication: Deliver public webinars and product roadmap sessions focused on accelerating AI/ML implementation, drawing on your SI presentation and communication experience. Work on Initiatives and Joint Solutions with SI partners (Focus on Market-Ready Solutions): Rapid Joint Solution Development: Build or replatform Partner-led Joint Industry Solutions for AI/ML, focusing on speed to market, based on your SI solution development experience. Asset Creation for Fast Implementation: Assist partners with asset creation for AI/ML product categories, focusing on templates, code samples, and deployment guides, drawing on your SI asset creation experience. Customer Journey Alignment for Quick Wins: Align AI/ML customer journeys with Partner Solutions/Offerings, focusing on immediate value and quick wins, informed by your SI customer journey analysis experience. AI/ML Focused work with SI partners (Hands-On Expertise): Enable partners to leverage Cortex AI for gen AI customer journeys, including Cortex LLM, Fine Tuning, Search, and Analyst, with a focus on practical application. Support partners in implementing end-to-end ML development and MLOps using Snowflake ML, emphasizing rapid deployment and operationalization. Advise partners on using Cortex AI for unstructured data analytics, focusing on real-world customer journeys and quick results. Mentor and guide junior cloud architects in our PSE team working on critical AI/ML engagements with our SI partners, aiming to accelerate their customer journeys, ensuring production readiness, and developing market-ready solutions. By sharing expertise and providing hands-on guidance, the Principal Data Cloud Architect will empower the junior team members to effectively support SI partners in deploying successful AI/ML solutions on the Snowflake AI Data Cloud. Our ideal Principal Data Cloud Architect - SI Partners will have: REQUIRED: Experience working at a large System Integrator (SI), with a proven track record of accelerating technical wins and production deployments. PLUS: Knowledge of competitive AI/ML platforms and solutions. Extensive experience with cloud data platforms, preferably Snowflake. Hands-on experience with Cloud ML platforms such as Sagemaker, Azure ML, VertexAI, and/or MLFlow. Experience building and deploying ML model pipelines using serverless and containerized computing including AWS Lambda, Azure Functions, Google Cloud Functions, Docker, Kubernetes etc. Familiarity with MLOps and CI/CD processes and tools, such as GIT, Azure DevOps, Sagemaker Pipelines, Google Cloud Build Experience with developing AI/ML use cases including communicating AI/ML strategy and business value Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc. Experience in developing and deploying Machine Learning models through the full Data Science life cycle. Expertise in data science programming languages including Python, SQL, Scala, and/or Spark. Strong experience with major cloud platforms and tooling, especially Azure, AWS, GCP Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems. 10+ years industry experience designing, building and supporting large-scale systems with a minimum of 5 years in a pre-sales role. BS/MS/PhD in Computer Science or related majors. This role requires a highly motivated and results-driven individual who is passionate about accelerating AI/ML adoption and success for our partners. If you are ready to make a significant impact and drive rapid AI/ML implementation, and possess the required experience at a large System Integrator, we encourage you to apply. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562. Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Serve as a technical expert for AI/ML features, drive POCs and technical wins, collaborate on product roadmaps, and publish technical content. | 5+ years experience in ML and generative AI with Python and related tools, bachelor's degree, and strong presentation skills. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories. ON DAY ONE, WE WILL EXPECT YOU TO HAVE: 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing. Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark. Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos. Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages. Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.) 1+ years of practical Snowflake experience. Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, 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 The following represents the expected range of compensation for this role: The estimated base salary range for this role is $143,000 - $205,800. 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 a team to scale relationships with Global System Integrator partners and execute partnership plans to drive revenue. | 15+ years in partner experience or sales in technology with revenue accountability and strong people management. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our GSI partners play a key role in bringing our customers' data-backed ambitions to life by implementing and harnessing the power of the Snowflake AI Data Cloud for cutting edge workloads and use cases. Through our partnerships, we enable companies to empower their employees with the data they need when and how they need it to better engage their customers, optimize their operations, and transform their products. The Partner Development Senior Director, GSI Leader role involves leading a team of Senior level, Partner Development Directors, who are responsible for building, scaling and maturing relationships with Snowflake’s top Global System Integrator (GSI) partners and executing against global partnership plans to drive customer outcomes and Snowflake revenue. This isn't just a leadership position; it’s a high-stakes, high-visibility opportunity to redefine how our organization engages with Global Systems Integrators (GSIs). As the Senior Director, you aren't just managing a team—you are the architect of a future-state ecosystem, wielding the influence to shape long-term strategic alliances that move the needle on a global scale, with direct access to executives across these partners and Snowflake. KEY RESPONSIBILITIES: Team & Leadership: Lead a team of senior-level, Partner Development Directors to drive investment and growth across the GSI partner portfolio. Coach the team on strategic "executive intercepts," ensuring that high-level CEO-to-CEO interest is translated into actionable, measurable GTM plans. Successful "reimagining" of the GSI 360-degree relationship—shifting the focus from transactional interactions to a holistic, value-driven partnership. Earning the trust of both the GSI team and C-suite executives, evidenced by their ability to navigate complex global dynamics and foster a culture of high performance and accountability. GSI Narrative: Moving beyond "business as usual" to define a provocative, long-term vision for how GSI partners will evolve within the ecosystem. Socialized a clear North Star narrative that aligns internal stakeholders and external partners, securing high-level executive buy-in for the future landscape of the GSI business. Direct the team in helping GSIs build reusable AI skills and repeatable patterns (e.g., automated legacy-to-Snowflake migration tools). Ensure GSIs are not just "implementing" Snowflake, but building their own high-margin IP on top of the AI Data Cloud, leading with their own, robust Industry expertise. GSI Portfolio Accountability: Direct the overarching GSI Go-To-Market for Snowflake, ensuring team-wide alignment on global and regional Sales, Solution Engineering, Partner Solution Engineering, Industry and Marketing activations. You will be responsible for the aggregate quota for the GSI partner portfolio and for ensuring GSI partners are driving value based outcomes and helping customers go live and scale on Snowflake, faster. Success is defined by the consistent achievement of shared KPIs across regions, characterized by a rigorous operational cadence. This includes demonstrating clear "wins" in joint-to-market strategies and a measurable YoY increase in partner’s impact in Snowflake revenue. Digital & AI Fluency: Lead by example in a digital-first environment. You will leverage AI tools (Cortex, Gemini) and data visualization to provide real-time partner health assessments and forecast accuracy. DESIRED EXPERIENCE: Bachelor's degree (MBA preferred). 15+ years of partner experience, strategic alliances, sales, business development in technology. Strong people management and leadership experience, ideally with experience in managing leaders of leaders. 10+ years channel sales or channel program management experience with accountability for revenue targets. Track record of success and established relationships with Snowflake’s System Integrators and specific experience working and building relationships with Global System Integrators. Tech & Tool Savvy: High proficiency in Google Workspace (Docs, Slides, Sheets) and Slack is non-negotiable. Experience using AI productivity tools is a strong plus. Strong executive presence and polis. Excellent written and verbal communication skills. Strong problem-solving skills and ability to organize priorities in a dynamic environment. Working knowledge of Cloud environments is preferred. Travel Required: Estimated at 25-50% (variable) 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 March 26, 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 $400,000 - $525,000. The estimated base salary for this role is $280,000 - $367,500. 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 a team of solution engineers to support sales and deliver technical presentations and solutions for enterprise customers. | 10+ years in pre-sales or engineering with 2+ years management experience, expertise in data warehousing, analytics, or cloud computing, and strong presentation skills. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Enterprise Solution Engineering organization is seeking a Manager of Solution Engineering to lead a highly skilled team of Solution Engineers for the Federal Civilian Business who provide value-based evaluation scenarios including demonstrations, labs and POCs. In addition to managing a team, you will work directly with our sales team and channel partners to understand the needs of our enterprise customers, strategize on how to navigate sales cycles, and close business. IN THIS ROLE YOU WILL GET TO: • Build and lead a team of solution engineers who serve as our core product introduction, evaluation and education experts • Partner with sales leadership to achieve regional quota targets, our goals and ensure relationships are built • Work alongside revenue leaders to set the go-to-market strategy for territory • Effectively escalate customer feedback and product obstacles/gaps to represent the team’s needs to executive staff • Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions • Collaborate and maintain a close working relationship with product, engineering, sales, marketing and services • Play an active role in sourcing and screening potential candidates and managing the interview process • Act as a player/coach working with your team on and delivering compelling presentations to customers and prospects ON DAY ONE WE WILL EXPECT YOU TO HAVE: • 10+ years of industry experience in a pre-sales or engineering capacity with 2+ years of direct front line management experience (hiring, training and retaining top talent). • Industry expertise within Data Warehousing, Data Engineering, Data Science, Business Intelligence, Data Analytics and/or Cloud Computing. • Snowflake experience strongly preferred • Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. • Ability to connect a customer’s specific mission problems and Snowflake’s solutions. • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. ABOUT OUR TEAM: Our Sales Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. 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: • 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 $252,000 - $330,750. The estimated base salary for this role is $189,000 - $248,062. • 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 consumer insights and innovation initiatives to fuel new product development and strategic planning. | Extensive experience in consumer insights, market research methodologies, team leadership, and innovation in product development. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. 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 Central 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 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 architect data collaboration solutions on Snowflake Data Cloud and support technical decision makers. | 5+ years data architecture experience, strong presentation skills, bachelor's degree, and preferably hands-on Snowflake experience. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Solution Engineering organization is seeking a Senior Data Platform Architect, Applied Field Engineering with an emphasis on data collaboration. This position will provide hands-on expertise and support while working with technical decision makers to design and architect Data Collaboration solutions built on the Snowflake Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s Collaboration solutions. IN THIS ROLE YOU WILL GET TO: • Be the technical expert in the room that positions Snowflake’s Collaboration features and value to technical stakeholders at Snowflake’s customers across the Americas. • Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. • Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. • Influence, tailor and maintain Solution Engineering Collaboration selling assets, including customer presentations, demonstrations, and customer stories. ON DAY ONE, WE WILL EXPECT YOU TO HAVE: • 5+ years Data architecture experience • Understanding of how companies share data today • Curiosity and drive to help companies leverage the Snowflake Data Cloud • Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos. • Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: • Hands on experience with building a listing on Snowflake Marketplace and/or Direct Data Sharing • 1+ years of practical Snowflake experience. • Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: • 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.

Designing, developing, and deploying enterprise-grade applications with cloud-native and microservices architectures. | 10+ years software engineering experience with strong full-stack and cloud skills, but no leadership or specialized security experience. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Enterprises are modernizing data platforms at an exponential rate to meet demands for innovation, specifically with the rise of Generative AI. As the leading AI and BI platform, Snowflake requires a secure-by-design foundation to drive business value. The Security Applied Field Engineering (AFE) organization is at the forefront of this effort, ensuring that security is a strategic accelerator rather than a bottleneck. As the Director, you will lead a team of elite Security Technical Architects who drive strategic customer engagements and build the prescriptive frameworks required for the modern era. You will transition customers from legacy, siloed security tools to a unified Security Data Architecture. You will partner closely with Sales, GTM, Engineering, and Marketing to help customers transform their business within the Snowflake AI Data Cloud while maintaining a world-class security posture. KEY RESPONSIBILITIES Field Engineering & Security Leadership • Security Architecture Foundation: Drive strategic engagements focused on the Security Architecture, ensuring robust foundations across Identity, Data, and Infrastructure for applications built on Snowflake. • AI Security & Trust Foundations: Lead customer strategy for secure AI adoption, leveraging Snowflake Cortex to bring state-of-the-art LLMs directly to customer data within a secure environment. • Architect trusted Agentic AI frameworks where Cortex Agents operate within governed boundaries, autonomously orchestrating tasks while inheriting Snowflake's native security perimeter. • Deploy Cortex Guard and AI Observability to filter harmful content and provide transparent, explainable AI interactions through rigorous monitoring and tracing. • Ensure AI governance by enforcing Role-Based Access Control (RBAC) and data masking across all AI-driven insights and automated actions. • Modern Security Operations (SecOps): Lead workshops to transition customers from legacy infrastructure to advanced SIEM Augmentation, Log Ingestion (Otel/Logs into Snowflake), and Cybersecurity Data Lake. • Governance & Identity: Build repeatable reference architectures and frameworks for Identity (IAM), Data Governance, Row-Level Security, and Encryption to accelerate well-architected deployments. • Resilience & Compliance: Guide customers through end-to-end journeys for BC/DR (Business Continuity/Disaster Recovery), including multi-region deployment patterns and measurable recovery outcomes. • Tooling and Content: Drive the creation of relevant content to accelerate new use case deployments and adoption of native functionality. • Voice of the Field: Act as a leadership point of contact and influence product roadmaps by serving as the Voice of the Field to Snowflake’s product and engineering teams. People Leadership & Management • Build Elite Teams: Recruit, train, and lead a world-class team of Security AFEs who serve as trusted advisors to CISOs, CTOs, and Lead Security Architects. • Player/Coach Mentality: Actively participate in high-stakes engagements, working with your team to build solutions for Zero Trust, complex encryption patterns, and enterprise-grade security data lakes. • Skill Cultivation: Develop the team’s storytelling, facilitation, and design skills to bring complex customer security journeys to life through human-centric design. • Culture of Innovation: Foster a culture of co-creation with customers, encouraging the team to think beyond basic infrastructure into business design outcomes. • Operational Excellence: Define and execute against clear KPIs, compensation plans, and execution models to drive consistent field impact and scale across regions. ON DAY ONE WE WILL EXPECT YOU TO HAVE: Core Experience & Leadership • 20+ years of industry experience in Data, Security,Networking,Infrastructure or AI Engineering, with 8+ years in a leadership role managing high-performing technical teams. • Executive Communication: Exceptional storytelling skills with the ability to deliver compelling presentations to both technical and executive stakeholders. Relevant Security Skillsets • Generative AI Security: Deep understanding of LLM security risks (e.g., prompt injection, data leakage) and mitigation strategies using tools like Cortex Guard. • Agentic AI Governance: Expertise in governing Autonomous Agents, ensuring "Human-in-the-loop" controls and auditability for agent-driven actions. • Data Privacy for AI: Mastery of techniques like Differential Privacy, Data Masking, and Secure Sandboxing to protect sensitive training and inference data. • Platform Observability: Proficiency in observability techniques including logging, monitoring, and distributed tracing on a platform level. • Identity and Access Management (IAM): Expertise in modern authentication/authorization protocols (OAuth 2.0, OpenID Connect) and implementing robust Role-Based Access Control (RBAC) models across cloud and on-premises environments. • Secure Networking: Deep knowledge of securing cloud and hybrid network architectures, including micro-segmentation, zero-trust principles, and secure deployment of services like Apache NiFi. • Container and Kubernetes Security: Proficiency in securing the container lifecycle, from build (image scanning) to runtime (Pod Security Standards, network policies, service mesh), and managing secrets within Kubernetes. • Governance, Risk, and Compliance (GRC): Strong background in aligning security programs with regulatory frameworks (e.g., SOC 2, HIPAA, GDPR) and managing security risk through continuous monitoring and auditing. Compliance & Standards (nice to have) • AI Regulatory Knowledge: Understanding of emerging AI regulations (e.g., EU AI Act) and their impact on enterprise data strategy. • Trust Certifications: Familiarity with how Snowflake’s AI Trust Center maps to SOC2, HIPAA, and HITRUST requirements for AI/ML workloads. 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 February 6, 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 $214,000 - $281,400. • 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.

Lead patch management and endpoint automation for large-scale IT environments. | Extensive hands-on experience in systems administration, patching, and endpoint management using RMM tools. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We're seeking a Senior Solution Engineer to solve complex customer problems and close large deals. You'll partner with sales teams to strategize on sales cycles, deliver value-based demos, support enterprise POCs, and drive business outcomes. What You'll Do: Present Snowflake's technology and vision to executives and technical audiences Demonstrate product value throughout the sales cycle from demo through implementation Maintain deep knowledge of competitive landscape and positioning Collaborate with Product, Engineering, and Marketing teams What You'll Bring: 7-8 years industry experience with 5+ years in pre-sales Exceptional presentation skills for technical and executive audiences 5+ years building ML/GenAI solutions in the cloud Deep expertise in large-scale databases, data warehouses, ETL, analytics, and cloud technologies (Data Lake, Data Mesh, Data Fabric) Strong SQL, SQL analytics, and Python skills Ability to connect customer business problems with Snowflake solutions and integrate with customer architecture frameworks Bachelor's in Computer Science, Engineering, Mathematics, or related field (Master's in Data Science or MBA preferred) GSI experience (EY, Deloitte, Accenture) is a plus Travel: 30% 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 product backlog prioritization and collaborate with cross-functional teams to deliver cloud-native software solutions. | Over 10 years of product management experience with expertise in Agile and cloud-native software delivery, but no demonstrated experience in technical program management or cloud security. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology, and careers, to the next level. Snowflake empowers more than 10,000 organizations worldwide to unlock the full potential of AI-driven data, shaping the future of intelligent business. As companies embrace transformative AI and data workloads, security is not just important, it’s essential. Join the Security Platform team at the heart of this revolution, where YOU will lead the charge in seamlessly protecting customers as they accelerate their journey into AI and data analytics. Security is both the foundation and the catalyst for Snowflake’s bold mission, and your work will directly build customer trust at global scale. We are looking to hire an experienced Staff Technical Program Manager who can be part of a world-class team that builds Snowflake’s product and cloud platform. As a Staff Technical Program Manager, you’ll drive the execution of innovative security initiatives that remove roadblocks and enable customers to harness the power of AI securely. You’ll own end-to-end delivery of complex, cross-functional programs including multi-factor authentication (MFA), advanced network protections, AI-powered security experiences, and the Trust Center, partnering closely with Product, Engineering, Security, and Operations to ensure scalable, reliable, and high-quality outcomes. You will team up with talented engineers, collaborate across functions, and shape the roadmap for security products that not only meet industry best practices but set new standards. As a Staff Technical Program Manager, you will: Be responsible for defining and delivering important programs with broad organizational, business and technical impact. Provide cross-functional leadership with Engineering and Product Management, and inter/intra team communications to deliver outstanding program outcomes. Bring strong, data-driven and strategic technical judgment to decisions. Be hands-on, working closely with Software Engineers and Product Managers to design, build, and deliver the next generation of Snowflake services and apps. Amplify your impact by educating and mentoring the TPM and Engineering communities on program management best practices. Identify opportunities to improve execution of the organization as a whole, to increase engineering productivity through tools and light-weight processes. (Snowflake happens to have a nice data platform to use :-) A Staff Technical Program Manager at Snowflake is expected to have: 7+ years of demonstrated industry experience and expertise leading medium to large complex engineering projects in current cloud technologies Strong understanding of cloud security principles, compliance frameworks, and industry best practices for securely deploying and operating LLMs and machine learning platforms Proven track record of driving complex security initiatives, such as implementing multi-factor authentication (MFA), zero-trust architecture, or advanced network protections, ideally within AI or data-intensive ecosystems. Ability to thrive and succeed in a dynamic environment not slowed down by ambiguity or competing priorities Experience working cross functionally with engineering, product management, and other functions involved in the product life cycle Strong program management skills with technical and business acumen Effective verbal and written communication and presentation skills, with the ability to interact with technical and non-technical groups Excellent analytical, problem-solving, consultation and organizational skills BS/MS/PhD degree in Computer Science, Engineering, or related fields or equivalent practical experience (e.g. familiarity with SQL, Python, Data) 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 $194,000 - $278,300. 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 product backlog prioritization and collaborate with cross-functional teams to deliver cloud-native software solutions. | Over 10 years of product management experience with skills in Agile, cloud-native solutions, and collaboration, but no demonstrated experience in technical program management or cloud security. | About the position Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology, and careers, to the next level. Snowflake empowers more than 10,000 organizations worldwide to unlock the full potential of AI-driven data, shaping the future of intelligent business. As companies embrace transformative AI and data workloads, security is not just important, it’s essential. Join the Security Platform team at the heart of this revolution, where YOU will lead the charge in seamlessly protecting customers as they accelerate their journey into AI and data analytics. Security is both the foundation and the catalyst for Snowflake’s bold mission, and your work will directly build customer trust at global scale. We are looking to hire an experienced Staff Technical Program Manager who can be part of a world-class team that builds Snowflake’s product and cloud platform. As a Staff Technical Program Manager, you’ll drive the execution of innovative security initiatives that remove roadblocks and enable customers to harness the power of AI securely. You’ll own end-to-end delivery of complex, cross-functional programs including multi-factor authentication (MFA), advanced network protections, AI-powered security experiences, and the Trust Center, partnering closely with Product, Engineering, Security, and Operations to ensure scalable, reliable, and high-quality outcomes. You will team up with talented engineers, collaborate across functions, and shape the roadmap for security products that not only meet industry best practices but set new standards. Responsibilities • Be responsible for defining and delivering important programs with broad organizational, business and technical impact. • Provide cross-functional leadership with Engineering and Product Management, and inter/intra team communications to deliver outstanding program outcomes. • Bring strong, data-driven and strategic technical judgment to decisions. • Be hands-on, working closely with Software Engineers and Product Managers to design, build, and deliver the next generation of Snowflake services and apps. • Amplify your impact by educating and mentoring the TPM and Engineering communities on program management best practices. • Identify opportunities to improve execution of the organization as a whole, to increase engineering productivity through tools and light-weight processes. (Snowflake happens to have a nice data platform to use :-) Requirements • 7+ years of demonstrated industry experience and expertise leading medium to large complex engineering projects in current cloud technologies • Strong understanding of cloud security principles, compliance frameworks, and industry best practices for securely deploying and operating LLMs and machine learning platforms • Proven track record of driving complex security initiatives, such as implementing multi-factor authentication (MFA), zero-trust architecture, or advanced network protections, ideally within AI or data-intensive ecosystems. • Ability to thrive and succeed in a dynamic environment not slowed down by ambiguity or competing priorities • Experience working cross functionally with engineering, product management, and other functions involved in the product life cycle • Strong program management skills with technical and business acumen • Effective verbal and written communication and presentation skills, with the ability to interact with technical and non-technical groups • Excellent analytical, problem-solving, consultation and organizational skills • BS/MS/PhD degree in Computer Science, Engineering, or related fields or equivalent practical experience (e.g. familiarity with SQL, Python, Data)

Provide executive and operational support to C-level executives and manage complex administrative and operational tasks. | 5+ years supporting executives with strong organizational, communication, and operational skills, but no direct GTM or technical operations management experience. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. SE Strategy & Operations Manager - Partner SE Snowflake, one of the most iconic and fast growing technology companies, is seeking a data-driven and strategically minded Solution Engineering (SE) Strategy & Operations Manager to serve as the operational backbone for our global Partner SE organization. In this role, you will bridge the gap between high-level strategy and day-to-day execution. You will be responsible for everything from fiscal year operational planning to driving strategic initiatives aimed at driving greater productivity across the field. The ideal candidate is one who can navigate complex challenges, effectively navigate CRM and planning tools, and is a proactive partner who uncovers the "why" behind the numbers to drive the business forward. As a SE Strategy & Operations Manager at Snowflake, you will be expected to take on the following responsibilities: • Alliances & Sales Alignment: Drive tighter integration with the Alliances organization. You will oversee and administer the operational framework for compensation management, territory mapping, capacity planning, and performance metrics to ensure the Partner SE team is incentivized to hit the right targets. • Rhythm of the Business: Lead the cadence for Monthly and Quarterly Business Reviews (MBRs/QBRs). You will provide proactive reporting and data-driven insights, collaborating closely with global leadership to track progress against KPIs. • Global Standardization: Act as the "global glue" to maintain alignment across AMS, EMEA, and APJ. You’ll ensure that metrics, tooling, and GTM initiatives are consistent worldwide while allowing for necessary regional nuances. You may often be expected to work outside of local work hours to cater to a collaborative global culture. • Trusted Advisor: Act as a trusted advisor to the PSE leaders across AMS, EMEA and APJ to provide guidance and reconcile feedback on the business and team performance measures. • Strategic GTM Initiatives: Support the design and rollout of new GTM strategies and manage the operational deployment for the Partner SE org, with a sound understanding of the various Partner SE types and how they are uniquely positioned across Services, ISV and Cloud. • Field Integration: Serve as the primary liaison between Partner SE functions and broader Field SE leadership, ensuring that partner activities are deeply integrated into the wider sales motion. • Operational Synergies: Work hand-in-hand with the broader SE Operations and Partner Operations teams to ensure that Partner SE processes don’t exist in a vacuum but are part of a cohesive, scalable ecosystem. • AI & Innovation: Proactively identify and implement AI-driven tooling to automate reporting, increase team productivity, and surface innovative data insights that help the organization move faster. Our ideal candidate will have: • Bachelor’s degree • 4+ years of experience working in GTM Operations, specifically supporting technical or partner organizations • Demonstrable history of using data-driven insights to influence and improve SE productivity and GTM strategies • Excellent organizational skills with experience creating executive-ready presentations and analyses for regular business reviews. • Advanced proficiency with CRM and Productivity Tooling • Demonstrated ability to influence senior leadership (RVPs/VPs) and act as a neutral mediator in resolving operational disputes or escalations. • Excellent writing, editing, and oral communication skills 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 $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.

Provide technical AI/ML guidance and architecture for Snowflake Cloud Data Platform in financial services, supporting sales and demos. | 5+ years data engineering with Snowflake expertise, 3+ years AI/ML experience, strong presentation skills, and broad data architecture knowledge. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Solution Engineering organization is seeking an AI/ML specialist to join our Solutions Engineering team, while supporting our Financial Services sector. We are looking for a Snowflake expert who can provide AI/ML technical guidance, while working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team to understand the AI/ML needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your technical expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: • Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing ON DAY ONE, WE WILL EXPECT YOU TO HAVE: • 5+ years of data engineering experience within the Enterprise Data space with a strong preference for candidates possessing deep, hands-on Snowflake architecture experience. • 3+ years experience working with AI/ML technologies • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. • Ability to connect a customer’s specific business problems and Snowflake’s solutions • Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric • Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies • Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica. • Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC) • Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet • Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions • Bachelor’s Degree required, computer science, engineering, mathematics or related fields, or equivalent experience preferred 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: • 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.

Manage operational frameworks and drive strategic initiatives for a global partner engineering organization to improve productivity and standardize processes. | Bachelor's degree with 4+ years in GTM Operations supporting technical or partner organizations, strong organizational skills, CRM proficiency, and ability to influence senior leadership. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. SE Strategy & Operations Manager - Partner SE Snowflake, one of the most iconic and fast growing technology companies, is seeking a data-driven and strategically minded Solution Engineering (SE) Strategy & Operations Manager to serve as the operational backbone for our global Partner SE organization. In this role, you will bridge the gap between high-level strategy and day-to-day execution. You will be responsible for everything from fiscal year operational planning to driving strategic initiatives aimed at driving greater productivity across the field. The ideal candidate is one who can navigate complex challenges, effectively navigate CRM and planning tools, and is a proactive partner who uncovers the "why" behind the numbers to drive the business forward. As a SE Strategy & Operations Manager at Snowflake, you will be expected to take on the following responsibilities: Alliances & Sales Alignment: Drive tighter integration with the Alliances organization. You will oversee and administer the operational framework for compensation management, territory mapping, capacity planning, and performance metrics to ensure the Partner SE team is incentivized to hit the right targets. Rhythm of the Business: Lead the cadence for Monthly and Quarterly Business Reviews (MBRs/QBRs). You will provide proactive reporting and data-driven insights, collaborating closely with global leadership to track progress against KPIs. Global Standardization: Act as the "global glue" to maintain alignment across AMS, EMEA, and APJ. You’ll ensure that metrics, tooling, and GTM initiatives are consistent worldwide while allowing for necessary regional nuances. You may often be expected to work outside of local work hours to cater to a collaborative global culture. Trusted Advisor: Act as a trusted advisor to the PSE leaders across AMS, EMEA and APJ to provide guidance and reconcile feedback on the business and team performance measures. Strategic GTM Initiatives: Support the design and rollout of new GTM strategies and manage the operational deployment for the Partner SE org, with a sound understanding of the various Partner SE types and how they are uniquely positioned across Services, ISV and Cloud. Field Integration: Serve as the primary liaison between Partner SE functions and broader Field SE leadership, ensuring that partner activities are deeply integrated into the wider sales motion. Operational Synergies: Work hand-in-hand with the broader SE Operations and Partner Operations teams to ensure that Partner SE processes don’t exist in a vacuum but are part of a cohesive, scalable ecosystem. AI & Innovation: Proactively identify and implement AI-driven tooling to automate reporting, increase team productivity, and surface innovative data insights that help the organization move faster. Our ideal candidate will have: Bachelor’s degree 4+ years of experience working in GTM Operations, specifically supporting technical or partner organizations Demonstrable history of using data-driven insights to influence and improve SE productivity and GTM strategies Excellent organizational skills with experience creating executive-ready presentations and analyses for regular business reviews. Advanced proficiency with CRM and Productivity Tooling Demonstrated ability to influence senior leadership (RVPs/VPs) and act as a neutral mediator in resolving operational disputes or escalations. Excellent writing, editing, and oral communication skills 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 $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 product backlog prioritization and collaborate with cross-functional teams to deliver cloud-native software products. | Over 10 years of product management experience with expertise in Agile methodologies and cloud-native solutions, but no direct technical sales leadership or AI/ML specialization. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level. The Role We are seeking a Director, Applied Field Engineering - AI/ML Product Specialists to spearhead our thriving and expanding America’s team within the Applied Field Engineering organization. In this pivotal leadership position, you will manage a team of Applied Field Engineers who are experts in specialized domains, including Generative AI, Machine Learning, and Advanced Analytics. Your core responsibility will be to guide your team in Technical Sales excellence—securing technical wins while ensuring Consumption Activation. This involves more than just technical validation; you will lead your team in resolving architectural gaps and ensuring that solutions meet critical criteria like reliability and performance. Ultimately, your strategic leadership will be key in defining the team's vision, setting strategic priorities, and shaping product direction by surfacing critical market gaps to our engineering teams. Responsibilities & Focus Areas: Technical Strategy & Consumption Activation: • Drive Consumption Activation: Shift beyond the "technical win" to ensure customers successfully move workloads into production, directly accelerating the realization of contracted credits. • Optimize Technical Sales Cycles: Refine engagement models to ensure AFEs are deployed on high-impact opportunities that maximize both TACV (Total Annual Contract Value) and immediate consumption potential. • Architect for Scale: Ensure architectures are optimized for long-term growth and business value, preventing technical debt that could stall future consumption. • Serve as a player/coach, leading by example through compelling architectural discussions and presentations at executive roundtables and community events. Product Direction & Strategic Influence: • Identify Product Gaps: Act as a critical feedback loop between the field and Product Engineering; systematically identify, document, and advocate for features or fixes required to unlock blocked workloads. • Shape Product Direction: Partner with Product Management to influence the roadmap based on emerging AI/ML trends and "boots on the ground" customer requirements. • Strategic Alignment: Collaborate closely with Sales Leadership to align technical resources with regional revenue targets and key account plans. • Community Leadership: Establish and scale internal Communities of Practice to elevate the team's skills across all segments and regions within the Americas. Team Leadership & Development: • Recruit, hire, and manage a high-performing team of Applied Field Engineers (AFEs), prioritizing their ongoing development and performance management. • Cultivate a culture of Technical Sales excellence, where AFEs act as strategic advisors who bridge the gap between initial technical proof and long-term production value. On day one we will expect you to have: • 15+ years of industry experience in a pre-sales, technical sales, or technical consulting capacity. • 4+ years of people management experience, preferably leading specialized technical overlay teams. • Proven track record in Consumption-based models: Experience driving not just "bookings," but the actual activation and usage of software services. • Strategic Product Influence: Demonstrated ability to translate complex customer challenges into actionable product requirements and influence engineering roadmaps. • Deep Technical Authority: Executive-level expertise in at least two of the following: GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture. • Executive Presence: Proven ability to advise C-level executives on future-state technical architectures and the business ROI of AI/ML investments. • Education: University degree in computer science, engineering, mathematics, or related fields (or equivalent experience). About Our Team Our Applied Field Engineering team consists of highly skilled and experienced technical specialists. We are passionate about client and internal stakeholder success, ensuring data is accessible, usable, and valuable to everyone. 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 $308,000 - $404,250. The estimated base salary for this role is $231,000 - $303,188. • Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Provide expert technical support and escalation management for Snowflake Priority Support customers, ensuring high customer satisfaction and issue resolution. | 8+ years technical support experience, strong communication skills, RDBMS and SQL expertise, ability to manage multiple accounts and collaborate cross-functionally. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake Support is committed to providing high-quality resolutions to help deliver data-driven business insights and results. We are a team of subject matter experts collectively working toward our customers’ success. We form partnerships with customers by listening, learning, and building connections. Snowflake’s Priority Support team is expanding! We are looking for a Designated Support Engineer. As a Designated Support Engineer, your role is to delight your designated customer(s) with your passion and knowledge of Snowflake AI Data Cloud. Customers will look to you for technical guidance and expert advice with regard to their effective and optimal use of Snowflake. You will be the voice of the customer to Snowflake’s product and engineering teams for product feedback and improvements. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. You will be assigned to work with one or more Snowflake Priority Support customers. You will develop a strong understanding of the customer’s use cases and how they leverage the Snowflake platform. You will deliver exceptional service, enabling them to achieve the highest levels of continuity and performance from their Snowflake implementation. You will be an integral part of a cross-functional team focused on delivering an exceptional customer experience. Ideally, you have worked in a 24x7 environment, handled technical case escalations and incident management, worked in technical support for an RDBMS, been on-call during weekends, and are familiar with database release management. SPECIAL REQUIREMENT: • Applicants should be flexible with schedule changes to meet business needs • Strong experience with enterprise-level support is required for this role YOU WILL: • Have the ability to handle multiple designated accounts, depending on their size • Establish regular touchpoints with customers for critical issues, provide executive-level technical briefings, drive technical advocacy between customers and product teams, and lead problem-solving sessions for complex technical challenges • Work closely with the Technical Account Managers and support the Account Team by attending weekly account reviews for your designated customers • Maintain deep knowledge of assigned accounts' architecture and use cases • Adhere to response and resolution SLAs and escalation processes in order to ensure fast resolution of customer issues that exceed expectations • Utilize the Snowflake environment, connectors, 3rd party partner software, and tools to investigate issues • Report well-documented bugs and feature requests arising from customer-submitted requests and work with Engineering toward a resolution • Proactively identify recommendations and lead global initiatives to improve product quality and customer experience • ​​Provide support coverage during holidays and weekends based on business needs • Work within the Snowflake Priority Support team with a One Snowflake mindset, coordinating and partnering cross-functionally OUR IDEAL DESIGNATED SUPPORT ENGINEER WILL HAVE: • Bachelor’s or Master’s degree in Computer Science or equivalent discipline • 8+ years experience in a Technical Support environment or a similar technical function in a customer-facing role • Excellent writing and communication skills in English with attention to detail • Ability to work in a highly collaborative environment across global teams with a good understanding of sales cycle concepts • Ability to train team members on data warehousing fundamentals and concepts • Ability to debug, rewrite, and troubleshoot complex SQL queries for achieving workarounds or better solutions • Strong knowledge of RDBMS, SQL data types, aggregations, and functions including analytical/window functions • Familiarity with at least one of the following: ETL/ELT, reporting tools such as AWS Glue, EMR, Azure Data Factory, Informatica, Matillion, Tableau, Fivetran, HVR etc. • Good understanding of RDBMS query profiles and execution plans to analyze query performance and make recommendations for improvement • Good understanding of database query lifecycle and internal join processing • Database migration and ETL experience • Scripting/coding experience in any programming language • Familiarity with semi-structured data • Experience in RDBMS workload management and database performance • Experience with any of the major cloud service provider’s ecosystem • Ability to interpret systems performance metrics (CPU, I/O, RAM, Network stats) • Experience troubleshooting database connectivity issues using a variety of methods (client software, drivers/connectors) • Understanding of database patch and release management NICE TO HAVE: • Experience with Data Warehousing, Database migration and ETL • Experience working with a distributed database i.e. big data and/or MPP (massively parallel processing) databases. • Experience with CI/CD platforms and tools such as Terraform, Azure Devops, Jenkins etc. • Scripting/coding experience In any of the following: .Net, Javascript, R, GO • Experience with Libraries/Frameworks such as Pandas, SciPy, TensorFlow etc. • Experience supporting applications running on either Amazon AWS or MS Azure • Troubleshooting skills on a variety of operating systems (Windows, Mac, *Nix) • Good understanding of the technical fundamentals of the internet. You should have a solid knowledge of internet protocols such as TCP/IP, HTTP/S, SFTP, and DNS as well as the ability to use diagnostic tools to troubleshoot connectivity issues. • Understanding of cloud computing security concepts • Experience with virtualization and Container solutions (VMware, Docker, Virtualbox, Kubernetes, etc) • Understanding of cloud computing Network and Security concepts 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 - $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 product backlog prioritization and collaborate with cross-functional teams to deliver cloud-native software solutions. | Over 10 years of product management experience with strong technical and strategic skills, but no explicit pre-sales, AI/ML, or people management experience. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level. The Role We are seeking a Director, Applied Field Engineering - AI/ML Product Specialists to spearhead our thriving and expanding America’s team within the Applied Field Engineering organization. In this pivotal leadership position, you will manage a team of Applied Field Engineers who are experts in specialized domains, including Generative AI, Machine Learning, and Advanced Analytics. Your core responsibility will be to guide your team in Technical Sales excellence—securing technical wins while ensuring Consumption Activation. This involves more than just technical validation; you will lead your team in resolving architectural gaps and ensuring that solutions meet critical criteria like reliability and performance. Ultimately, your strategic leadership will be key in defining the team's vision, setting strategic priorities, and shaping product direction by surfacing critical market gaps to our engineering teams. Responsibilities & Focus Areas: Technical Strategy & Consumption Activation: Drive Consumption Activation: Shift beyond the "technical win" to ensure customers successfully move workloads into production, directly accelerating the realization of contracted credits. Optimize Technical Sales Cycles: Refine engagement models to ensure AFEs are deployed on high-impact opportunities that maximize both TACV (Total Annual Contract Value) and immediate consumption potential. Architect for Scale: Ensure architectures are optimized for long-term growth and business value, preventing technical debt that could stall future consumption. Serve as a player/coach, leading by example through compelling architectural discussions and presentations at executive roundtables and community events. Product Direction & Strategic Influence: Identify Product Gaps: Act as a critical feedback loop between the field and Product Engineering; systematically identify, document, and advocate for features or fixes required to unlock blocked workloads. Shape Product Direction: Partner with Product Management to influence the roadmap based on emerging AI/ML trends and "boots on the ground" customer requirements. Strategic Alignment: Collaborate closely with Sales Leadership to align technical resources with regional revenue targets and key account plans. Community Leadership: Establish and scale internal Communities of Practice to elevate the team's skills across all segments and regions within the Americas. Team Leadership & Development: Recruit, hire, and manage a high-performing team of Applied Field Engineers (AFEs), prioritizing their ongoing development and performance management. Cultivate a culture of Technical Sales excellence, where AFEs act as strategic advisors who bridge the gap between initial technical proof and long-term production value. On day one we will expect you to have: 15+ years of industry experience in a pre-sales, technical sales, or technical consulting capacity. 4+ years of people management experience, preferably leading specialized technical overlay teams. Proven track record in Consumption-based models: Experience driving not just "bookings," but the actual activation and usage of software services. Strategic Product Influence: Demonstrated ability to translate complex customer challenges into actionable product requirements and influence engineering roadmaps. Deep Technical Authority: Executive-level expertise in at least two of the following: GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture. Executive Presence: Proven ability to advise C-level executives on future-state technical architectures and the business ROI of AI/ML investments. Education: University degree in computer science, engineering, mathematics, or related fields (or equivalent experience). About Our Team Our Applied Field Engineering team consists of highly skilled and experienced technical specialists. We are passionate about client and internal stakeholder success, ensuring data is accessible, usable, and valuable to everyone. 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 $308,000 - $404,250. The estimated base salary for this role is $231,000 - $303,188. 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 product strategy and execution for digital and cloud-native software products focusing on customer experience and technical innovation. | Over 10 years of product management experience with expertise in cloud-native solutions and cross-functional collaboration but no direct experience in compute engines or data analytics infrastructure. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake’s AI Data Cloud is the unified platform and connected ecosystem of organizations building, using and sharing data, apps and AI. Powering the AI Data Cloud is Snowflake’s single platform. Its unique architecture connects businesses globally, at practically any scale to bring data and workloads together. At the heart of Snowflake’s platform is our compute engine that processes billions of queries daily for thousands of the world's largest organizations. This compute engine is handling diverse workloads from analytics, data engineering to powering Snowflake’s AI Cortex agents. But we aren't stopping here. We are building the next evolution of our compute engine: the smartest, most efficient, and most adaptable cloud compute layer ready to support the next generation of enterprise data and AI applications at scale. We are seeking a Staff Product Manager to lead the compute engine for Snowflake's Data & AI cloud. In this role, you will lead the strategy and execution for the compute platform, owning a portfolio that ranges from our foundational standard and Gen2 warehouses to high-performance Snowpark-optimized compute clusters to serverless compute. You will be the primary driver behind our latest compute innovation: Adaptive Warehouses, helping us move beyond static sizing to a world of fluid, intelligent compute that reacts instantly to workload demands. This is a high-visibility opportunity to shape the future of the underlying Snowflake architecture. You won't just be adding features; you will be solving complex, systemic problems regarding query performance, ease of use, elasticity, and cost-efficiency. You will partner with our senior architects and engineering leaders to ensure Snowflake remains the industry standard for performance and scale. In This Role, You Will: • Define the Vision: Own the product strategy and long-term roadmap for the compute layer that powers our core Analytics and Data Engineering businesses. You will influence how Snowflake processes the world's data. • Architect for the Future: Partner deeply with senior engineers and architects to innovate the underlying system and to keep our platform best-in-class. • Drive both 0-to-1 and scale execution: Spearhead the 0-to-1 launch and maturation of Adaptive Warehouses, driving the shift toward next-generation, serverless-style elasticity. • Drive Execution & Alignment: Serve as the central point of influence across the organization. You will synthesize disparate data points, technical opinions, and executive direction into a cohesive, actionable plan. • Uncover Insights: Utilize data-driven governance to track key metrics (performance, utilization, margins) and uncover usage patterns that inform our next big bet. • Partner with Customers: Collaborate directly with Platform Architects at our largest enterprise customers to validate designs, gather feedback via preview programs, and solve their most critical scale challenges. Our Ideal Candidate Has: • Experience: 10+ years of Product Management experience, with at least 5+ years specifically building data analytics products or cloud compute infrastructure. Bonus, direct experience with designing compute engines for analytics and/or data engineering products! • Systems Thinking: The ability to decompose complex technical problems. You are comfortable diving deep into cloud and data architectures, API contracts, query semantics, and distributed systems. • Cross-Org Leadership: A proven track record of "leading through influence." You can drive alignment across distinct cross-functional teams and present confidently to VPs and C-level leadership. • Customer Empathy: A passion for "Ease of Use." You understand the friction points of analytics and data engineering and possess a relentless desire to deliver the best data warehousing solutions. • Modern Prototyping Skills: Comfort using modern AI and design tools to rapidly mock up wireframes, prototypes, and PRDs to visualize complex workflows. • Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Why Join This Team? 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? 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 $236,000 - $339,200. • 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 consumer insights and innovation initiatives to support new product development and strategic planning. | Extensive experience in consumer insights, market research, and innovation leadership, with strong team management and global research exposure. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Build the future of data. Join the Snowflake team. Snowflake is experiencing rapid growth and we are expanding our team to support and accelerate this growth. We are deeply committed to our employees, customers, values, and culture. We are looking for individuals who have a growth mindset and the practical insight to address current challenges while also laying the foundation for future success. As a member of the Snowflake team, you will be responsible for promoting and fostering diversity and inclusivity. We are in search of an Enterprise Acquisition Sales Manager who embodies Snowflake’s values and has a proven track record of creating an inclusive and collaborative work environment that brings people and ideas together. This individual should possess strong communication skills, be open to giving and receiving constructive feedback, be adept at recognizing and celebrating the achievements of others, and have a genuine passion for our technology, as well as a commitment to continuous learning and teaching. YOU MAY BE A GOOD FIT FOR THE TEAM IF YOU HAVE: An understanding of Snowflake's product in order to be able to provide guidance to navigate complex technical evaluations Drive to enable, coach, develop and motivate a robust Enterprise sales team Developed territories by planning strategically and effectively 2+ years guiding Account Executives through complex legal and commercial negotiations A customer first mindset to ensure success Consistently executed what is forecasted to senior management Understand how to sell business value, using a repeatable process Coach reps on how to create urgency and deal control IN THIS ROLE YOU WILL GET TO: Recruit and build successful sales professionals into high-performing revenue drivers for Snowflake Build cross-functional relationships with internal and external support teams & technical partners Influence go-to-market strategy for venture backed/high growth startups. Develop a team culture around Snowflake Core Values Sell an industry changing and market defining product ON DAY ONE WE WILL EXPECT YOU TO HAVE: BA/BS required 10+ years selling Cloud Solutions, Infrastructure Software, Databases, Analytic Tools, or Applications Software 2+ years managing a team of sales teams Sold to CEOs, CTOs, Heads of Product, Engineering, or Data Science Ability to coach your team how to target and pursue an opportunity with our ideal customer profile within a complex sales cycle Experience outperforming targets as an individual contributor in an outbound role Ability to coach AEs how to navigate commercial and legal negotiations when working with procurement, legal, and business teams. Ability to work with sales engineering managers and customers to inventory existing software state, define migration plans, and build business cases for migrations to drive new logo acquisition. 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: 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 $340,000 - $446,250. The estimated base salary for this role is $170,000 - $223,125. 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 AI/ML solution deployments with system integrator partners, accelerate technical wins, and mentor junior architects. | 10+ years in large system integrators with AI/ML and cloud expertise, advanced CS degree, and hands-on experience with ML platforms and cloud technologies. | Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Principal Data Cloud Architect - SI Partners We are seeking a highly experienced and results-driven AI/ML focused Principal Data Cloud Architect to join our Partner Solution Engineering (PSE) team. Our mission is to empower System Integrator (SI) partners to rapidly achieve technical wins and successful production deployments of AI/ML solutions on the Snowflake AI Data Cloud. Snowflake, the AI Data Cloud, enables teams to seamlessly run analytical workflows, develop agentic apps, and train models using both structured and unstructured data. With over 4,000 customers leveraging our gen AI and ML technology weekly, we are at the forefront of AI innovation. This role is crucial in accelerating AI/ML customer journey technical wins and production deployments being implemented by SI partners. As a Principal Data Cloud Architect - SI Partners, you will perform: • Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration): • Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption, informed by your understanding of SI partner needs. • Expedited POCs and RFPs: Provide support for partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes, informed by your SI proposal experience. • Rapid Deployment Frameworks: Develop and share best practices and POC frameworks specifically designed to accelerate the deployment of prioritized AI/ML customer journeys, based on your SI project implementation knowledge. • SI Partner Snowflake Practice Building (Focus on Production Readiness): • COE for Rapid Implementation: Collaborate on creating and managing Partner Snowflake Centers of Excellence (COE) with a focus on accelerating AI/ML deployments, leveraging your SI center of excellence experience. • Accelerated Capability Maturity: Drive partner capabilities maturity for each AI/ML product category, emphasizing hands-on skills and practical knowledge, informed by your SI skill development experience. • Targeted Communication: Deliver public webinars and product roadmap sessions focused on accelerating AI/ML implementation, drawing on your SI presentation and communication experience. • Work on Initiatives and Joint Solutions with SI partners (Focus on Market-Ready Solutions): • Rapid Joint Solution Development: Build or replatform Partner-led Joint Industry Solutions for AI/ML, focusing on speed to market, based on your SI solution development experience. • Asset Creation for Fast Implementation: Assist partners with asset creation for AI/ML product categories, focusing on templates, code samples, and deployment guides, drawing on your SI asset creation experience. • Customer Journey Alignment for Quick Wins: Align AI/ML customer journeys with Partner Solutions/Offerings, focusing on immediate value and quick wins, informed by your SI customer journey analysis experience. • AI/ML Focused work with SI partners (Hands-On Expertise): • Enable partners to leverage Cortex AI for gen AI customer journeys, including Cortex LLM, Fine Tuning, Search, and Analyst, with a focus on practical application. • Support partners in implementing end-to-end ML development and MLOps using Snowflake ML, emphasizing rapid deployment and operationalization. • Advise partners on using Cortex AI for unstructured data analytics, focusing on real-world customer journeys and quick results. • Mentor and guide junior cloud architects in our PSE team working on critical AI/ML engagements with our SI partners, aiming to accelerate their customer journeys, ensuring production readiness, and developing market-ready solutions. By sharing expertise and providing hands-on guidance, the Principal Data Cloud Architect will empower the junior team members to effectively support SI partners in deploying successful AI/ML solutions on the Snowflake AI Data Cloud. • Our ideal Principal Data Cloud Architect - SI Partners will have: • REQUIRED: Experience working at a large System Integrator (SI), with a proven track record of accelerating technical wins and production deployments. • PLUS: Knowledge of competitive AI/ML platforms and solutions. • Extensive experience with cloud data platforms, preferably Snowflake. • Hands-on experience with Cloud ML platforms such as Sagemaker, Azure ML, VertexAI, and/or MLFlow. • Experience building and deploying ML model pipelines using serverless and containerized computing including AWS Lambda, Azure Functions, Google Cloud Functions, Docker, Kubernetes etc. • Familiarity with MLOps and CI/CD processes and tools, such as GIT, Azure DevOps, Sagemaker Pipelines, Google Cloud Build • Experience with developing AI/ML use cases including communicating AI/ML strategy and business value • Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc. • Experience in developing and deploying Machine Learning models through the full Data Science life cycle. • Expertise in data science programming languages including Python, SQL, Scala, and/or Spark. • Strong experience with major cloud platforms and tooling, especially Azure, AWS, GCP • Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems. • 10+ years industry experience designing, building and supporting large-scale systems with a minimum of 5 years in a pre-sales role. • BS/MS/PhD in Computer Science or related majors. • This role requires a highly motivated and results-driven individual who is passionate about accelerating AI/ML adoption and success for our partners. If you are ready to make a significant impact and drive rapid AI/ML implementation, and possess the required experience at a large System Integrator, we encourage you to apply. 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 $252,000 - $330,750. The estimated base salary for this role is $189,000 - $248,062. • 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.