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Senior Engineering Manager (Agentic Analytics)
Snowflake · Menlo Park, CA, United States
About The Role
Join Snowflake, a leading data cloud company, as a Senior Engineering Manager. In this role, you will lead the effort to build core database capabilities for agentic workloads, set the technical direction, and grow your team. You will collaborate with other teams and leaders across the Engineering and Product Management organizations, and foster a culture of creativity and innovation. This is a unique opportunity to make a significant impact in the industry as it adapts to the age of AI agents.
- Conduire l'évolution des capacités de base de données et des fonctionnalités SQL pour répondre aux charges de travail émergentes liées à l'IA et aux agents.
- Diriger et développer une équipe d'ingénieurs talentueux dans la conception, le développement et le support d'un système de base de données SQL hautement parallèle et tolérant aux pannes.
- Collaborer avec d'autres équipes locales et mondiales et leaders à travers les organisations d'ingénierie et de gestion de produit.
- 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
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