Sr Manager, Applied Field Engineering - AI/ML
HotApplication analysis
Sr Manager, Applied Field Engineering - AI/ML at Snowflake is a forward deployed cloud data warehouse role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Forward Deployed Engineer role centers on embedded customer delivery — discovery, prototyping, integration, and production rollout. Key signals from the listing: Senior scope.
About Snowflake
Snowflake field engineers drive warehouse migrations and analytics modernization with enterprise buyers. The role is anchored in US-CA-Menlo Park, so expect on-site customer work in that region.
Signals in the listing
Stand out for Sr Manager, Applied Field Engineering - AI/ML
- Lead your application with one paragraph tying Sr Manager, Applied Field Engineering - AI/ML to a specific customer or deployment you owned — Snowflake hires for shipped outcomes, not tool lists.
- Prepare a 5-minute “week one on site” plan: who you would meet, what you would inspect in their stack, and what artifact you would deliver by day five.
- Show you can go from discovery notes → working integration → production checklist without needing a large internal team.
- This role is tied to US-CA-Menlo Park — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Snowflake
- Demonstrate SQL/ELT patterns with a concrete example — Snowflake will probe for specifics, not buzzwords.
- Demonstrate cost governance with a concrete example — Snowflake will probe for specifics, not buzzwords.
- Proof of running a successful migration or cost-optimization project beats generic cloud buzzwords.
- Read recent engineering blog posts, product launches, and customer stories on snowflake.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
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. 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 Senior Manager, Applied Field Engineering — AI/ML Product Specialists to lead a high-performing team of AI/ML specialists at the intersection of product, field, and customer success. In this hands-on leadership role, you will manage a team of Applied Field Engineers who are deep practitioners in Snowflake's AI/ML product portfolio — including Cortex AI, ML modeling, and agentic workflows. You will drive product adoption and customer outcomes, ensuring customers move beyond initial activation to unlock the full depth of Snowflake's AI/ML capabilities. Critically, you will serve as a strategic bridge between the field and Snowflake's product organization — translating customer experience into structured product insight that directly shapes roadmap priorities. You will work closely with Product Management, Engineering, and Sales leadership to ensure Snowflake builds the right things and customers realize their full potential.