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Warszawa, województwo mazowieckie, Polska
Onsite
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.
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, estimates, status reporting, escalations, post-mortems, customer references
Own quality. When an engagement is at risk, you are accountable. You unblock the team, escalate at Snowflake, manage customer expectations, and personally engage on the technical recovery if needed.
IDEAL SENIOR ENGINEERING MANAGER AT SNOWFLAKE NEEDS TO DEMONSTRATE THE FOLLOWING:
8+ years of software engineering experience, with at least the last 2 years on AI/ML systems in production. We mean systems with users and SLOs, not notebooks.
5+ years of engineering management experience, with 2 years managing manager, including hiring, performance management, and growing senior ICs. Prior experience managing customer-facing engineers.
Hands-on AI engineering experience - you have personally shipped applications using LLMs, RAG, agentic workflows, fine-tuning, evaluation harnesses. You can debate the trade-offs between an off-the-shelf model, a fine-tune of an open model, and a custom architecture, and you have made those calls on real engagements.
Strong customer-facing track record. You have stood in front of a Fortune 500 CTO and run a hostile architecture review. You know when to push back on a customer's request, when to accept it, and how to do either without losing the engagement.
Demonstrated ability to translate business strategy into technical action, especially in ambiguous customer engagements where requirements are vague and stakeholders disagree.
Formal CS or related background.
Ability to align long-term business strategy with pragmatic technical and research investments
Ability to build frameworks, processes, and decision criteria for evaluating AI research investments
Understanding of Data Infrastructure systems and microservice architecture built on Public Cloud platforms.
Strong knowledge of various package tools and methodologies for system components built with Python or Java.
Proven history of managing software development, automation and software engineering teams.
Formal software engineering background (aka CS degree).
Ability to communicate well with leadership in articulating results and complex concepts.
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