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SnowflakeMenlo Park, California, United States
Senior Engineering Manager (Agentic Analytics)
On-siteFull Time$264k - $379.5k per yearPosted 9 days ago
About the role
- At Snowflake, your role isn’t just to execute a function, but to help redefine the future of how work gets done
- At the center of the data cloud is the Snowflake Database Engineering team
- We are responsible for building the core query engine used to process the massive amounts of diverse data managed by our customers
- A core part of the Database Engineering group is the Query Language team which is responsible for designing, developing, and maintaining core SQL features, including advanced analytics, scripting, and the developer experience
- We are seeking a Senior Engineering Manager to own and drive the effort to build core database capabilities to serve agentic workloads
- You’ll set the technical direction, build and grow the team behind it, and shape how the core engine and the SQL language evolve to serve this new class of workload
- It’s a rare chance to lead a foundational bet at the exact moment the industry is racing to solve it, with the scale, customer base, and platform to make your work matter to millions of queries a day
- If you want your fingerprints on how the world’s data platforms adapt to the age of AI agents, this is one of the best seats in the industry
- Drive the evolution of core database and SQL capabilities to serve emerging AI and agentic workloads alongside traditional analytics
- Lead and grow a team of talented engineers in the design, development, and support of a highly-parallel and fault-tolerant SQL database system
- Support engineers in their career development by providing clear feedback and developing engineering leaders
- Translate product requirements into engineering work for your team
- Collaborate with other local and global teams and leaders across the Engineering and Product Management organizations
- Use your strong foundation as a technical leader to reliably deliver on complex projects while keeping the quality bar high
- Foster a culture of creativity and innovation while also promoting practical decision-making Benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
- 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
- A track record of recruiting and leading technical teams in a demanding talent market
- Exposure to AI, ML, or agent-driven workloads and how they consume data platforms
- Proven experience authoring roadmap documents, project plans, and RCAs
- Strong problem solving skills and excellent interpersonal communication skills
- Rock solid engineering fundamentals; query processing experience is highly preferred but not required
- 10+ years of experience building and operating large-scale systems (distributed systems, databases, or cloud services)
- 5+ years of experience leading teams to build database system internals (experience leading managers is a strong plus)
- Background in database internals or large-scale data processing systems, e.g., Hadoop, Spark, etc
- Prior experience running SQL database engineering teams
- Proven experience authoring product roadmaps, preparing and reviewing project design and test plan documents, and managing projects with JIRA