Role Description
Responsibilities
- Directly manage up to 20 direct reports, as a single execution unit
- Partner with multiple Product Managers to plan roadmaps and sprints
- Be accountable for high quality execution on critical and high visibility business objectives
- Be responsible for making tradeoffs between feature work and addressing long term technical debt
- Be responsible for excellence in software quality, engineering practices and operations
- Lead the team through standard Agile processes, such as backlog management, stand ups, retros, etc.
- Review and approve engineering designs and be able to set technical direction (in collaboration with a Technical Lead)
- Drive cross-org initiatives alongside managing execution responsibilities
- Drive career conversations and career plans for your direct reports
Requirements
- BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent technical experience
- Minimum of 8 years of people management experience with an engineering team
- Minimum of 10 years as a software engineer or equivalent technical experience
- Must have experience managing engineering organizations of 20 or above and experience managing managers
- Must have experience building or integrating with AI products
- Must have worked in a platform team or a developer-facing API product with both internal and external consumers
- Must have experience running a standard Agile process such as backlog management, stand ups, retros, etc
- Must be results-driven, especially good at balancing execution predictability with the agility needed in bringing a new product to market
Preferred Qualifications
- Experience shipping AI-powered features in production, collaborating closely with ML engineers and product teams
- Strong backend engineering skills with systems that support model serving, inference, and data pipelines at scale
- Strong background in AI agent infrastructure and building AI agents
- Ability to evaluate AI models for a specific use case and advise on build vs buy decisions
- Expertise in distributed systems architecture — designing for scalability, fault tolerance, observability, and graceful degradation in multi-service environments.