Senior Engineering Manager - OLTP
Snowflake
- Pay
- $264k–$380k
- Workplace
- Hybrid
- Location
- US-CA-Menlo Park · Menlo Park · California · United States
- First seen
- 6 days ago
- Last seen
- 4 hours ago
- Board
- Ashby
Summary
At Snowflake, we are powering the era of the agentic enterprise.
Posting
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 expanding the boundaries of the Data Cloud to support mission-critical transactional workloads. Our goal is to deliver OLTP capabilities with the performance, reliability, simplicity, and scale customers expect from Snowflake, while creating a seamless experience across transactional and analytical data. We are looking for a Senior Engineering Manager – OLTP to lead engineering teams and leaders building core transactional database technology and the cloud infrastructure required to operate it at scale. You will help define the architecture and roadmap, grow the organization, and drive technology from design through production. AS A SENIOR ENGINEERING MANAGER – OLTP AT SNOWFLAKE, YOU WILL: - Set technical and execution strategy for key areas of Snowflake's OLTP platform, translating product goals into architecture, roadmaps, and team plans. - Lead and grow multiple engineering teams, developing managers and senior technical leaders while fostering a culture of ownership, technical excellence, and execution. - Drive adoption of AI and agentic development practices to improve engineering velocity, quality, and productivity across the software development lifecycle. - Drive architecture and technical decisions in areas such as transactions, concurrency control, low-latency query processing, storage, indexing, compaction, recovery, replication, and scalability. - Ensure operational readiness and reliability of mission-critical database services, meeting customer commitments for durability, availability, performance, and security through automation, observability, and operational safety. - Drive trade-offs across consistency, latency, throughput, availability, scalability, durability, security, and cost. - Lead major initiatives from des