Senior Engineering Manager - AI Forward Deployed Engineering for EMEA

Snowflake · PL-Warsaw
full-time senior Posted 6 days ago

About this role

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is 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. Where Data Does More. Join the Snowflake team. At Snowflake, we are building a high-impact team to help the world's most innovative companies unlock the power of AI. As a Senior Engineering Manager on our Cortex AI team, you will be a technical leader and trusted partner to our most strategic customers. You will own the end-to-end delivery of enterprise AI programs, leading a team of 20 engineers while staying deeply technical yourself. You will set the technical direction for your customer engagements, mentor your team, and serve as the senior technical voice at the intersection of product, engineering, and customer success. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Lead Customer Programs: Own the full lifecycle of complex, multi-engineer AI engagements - from scoping and architecture through deployment, monitoring, and handoff. Be accountable for delivery quality and customer outcomes across your portfolio of strategic accounts. Grow and Mentor Engineers: Provide day-to-day technical leadership and mentorship to a team of 20+ Applied AI Engineers and Managers. Review designs and code, unblock teammates, and actively develop their skills and careers. Deliver with Velocity: Remain a hands-on contributor - designing, iterating, and shipping high-quality ML pipelines and agentic AI solutions alongside your team. Translate ambiguous business objectives into robust, scalable, and performant solutions. Productionize AI at Scale: Own the full implementation lifecycle for AI solutions, from developing prototypes to deploying, monitoring, and optimizing them in secure, large-scale production environments. Define evaluation frameworks, safety guardrails, observability, and human-review workflows that keep AI applications reliable, measurable, and trustworthy in production. Be a Strategic Technical Advisor: Serve as a senior technical advisor to customer data science and engineering leadership. Set the standard for how Snowflake AI is deployed and articulate complex technical concepts to both technical and executive stakeholders. Collaborate to Innovate: Work cross-functionally with Snowflake's Product and Engineering teams, bringing real-world patterns and feedback from the field to directly shape the future of Snowflake's AI platform. Drive Compounding Outcomes: Identify and champion improvements to team practices. Identify recurring deployment patterns and turn them into reusable assets, reference architectures, evaluation harnesses, and product feedback that scale Snowflake’s impact across customers. Have the opportunity to travel: Spend time onsite, working closely with Snowflake’s most strategic customers. AS ENGINEERING MANAGER - CORTEX AI FUNCTIONS YOU WILL: - Recruit, interview, and hire exceptional talent to support the rapid expansion of the AI FDE team across EMEA - Directly manage a talented team of Engineers, Researchers and Managers and will provide - Own the engagement portfolio for AI FDE in EMEA - assigning engineers to engagements, managing capacity, balancing strategic accounts - Set the technical bar. Review designs, conduct architecture reviews, participate in code reviews on the most complex engagements, and personally engage on the hardest technical problems when the team needs lift. - Lead from the front in customer rooms. Run executive technical discussions with EMEA customer CTOs, Chief Data Officers, and Heads of AI. Translate Snowflake's AI roadmap into customer-specific value, and translate customer pain back into Snowflake product input. - Define the AI FDE practice in EMEA - patterns, reusable skills, scoping standards, estimation discipline, eval methodology, and the playbooks that make a 20-person regional team punch above its weight. - Feed product and deliver new features. Be the structured voice of the EMEA customer base inside the Snowflake AI Platform. What we hit, what we cannot do today, what the EU regulatory environment requires. - Operate the engagement model. Scoping,

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