Senior Engineering Manager - AI Forward Deployed Engineering for EMEA

Snowflake is a company focused on empowering enterprises and people by leveraging AI to redefine how work gets done. The role is within the Cortex AI team, which helps innovative companies unlock the power of AI.

• 8+ years of software engineering experience, with at least 2 years on AI/ML systems in production.
• 5+ years of engineering management experience, including 2 years managing managers, hiring, performance management, and growing senior individual contributors.
• Hands-on AI engineering experience with applications using LLMs, RAG, agentic workflows, fine-tuning, and evaluation harnesses.
• Strong customer-facing track record, including experience with Fortune 500 CTOs and architecture reviews.
• Ability to translate business strategy into technical action in ambiguous customer engagements.
• Formal computer science 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 on public cloud platforms.
• Strong knowledge of 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 (CS degree).
• Ability to communicate complex concepts effectively with leadership.

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 a 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.
• Translate ambiguous business objectives into robust, scalable, and performant solutions.

Productionize AI at Scale:

• Own the full implementation lifecycle for AI solutions from prototypes to deployment, monitoring, and optimization in secure, large-scale production environments.
• Define evaluation frameworks, safety guardrails, observability, and human-review workflows.

Be a Strategic Technical Advisor:

• Serve as a senior technical advisor to customer data science and engineering leadership.
• Set standards for Snowflake AI deployment and articulate complex technical concepts to technical and executive stakeholders.

Collaborate to Innovate:

• Work cross-functionally with Product and Engineering teams to shape the future of Snowflake's AI platform.

Drive Compounding Outcomes:

• Identify and champion improvements to team practices.
• Create reusable assets, reference architectures, evaluation harnesses, and product feedback to scale impact.

Have the opportunity to travel:

• Spend time onsite working closely with Snowflake’s most strategic customers.

As Engineering Manager - Cortex AI Functions:

• Recruit, interview, and hire talent to expand the AI FDE team across EMEA.
• Directly manage Engineers, Researchers, and Managers.
• Own the engagement portfolio for AI FDE in EMEA, managing capacity and strategic accounts.
• Set the technical bar through design and architecture reviews and engagement on complex technical problems.
• Lead executive technical discussions with EMEA customer CTOs, Chief Data Officers, and Heads of AI.
• Define AI FDE practice in EMEA including patterns, skills, scoping standards, estimation discipline, evaluation methodology, and playbooks.
• Provide structured voice of EMEA customer base inside Snowflake AI Platform.
• Operate engagement model including scoping, estimates, status reporting, escalations, post-mortems, and customer references.
• Own quality and manage risk, unblock teams, escalate, and engage on technical recovery if needed.