Manager of AI EngineeringWe are looking for an engineering manager who has led agentic AI teams and knows what AI-native delivery requires in a lean, high-accountability environment. This role owns the delivery engine for a combined engineering org going through integration, modernization, and a full shift to agentic development patterns.
Key Responsibilities- KPI framework design and ownership: velocity, escaped defect rates, ramp time, cost per story point, and regression coverage
- AI proficiency standards: set the 90-day expectation across the org and own performance management for non-progressors
- Agentic workflow adoption across the team, not just tooling familiarity
- Brownfield modernization: finalize scope and lead the first AI-augmented initiative using agentic development patterns
- Capacity planning: assess existing delivery partners, build new channels, and produce the model for next year's budget
- Stakeholder alignment: support roadmap commitments, surface delivery risks early, and manage expectations across product and business partners
Qualifications- Hands-on experience managing agentic AI development teams
- Working understanding of agentic systems: how they are scoped, how they fail, how they are tested, and what they require from the engineers building them
- 5 or more years of software engineering experience, including 2 or more years managing individual contributors. Strong senior engineers making a first move into management are encouraged to apply
- Track record in PE-backed, lean B2B software companies ($75M to $300M revenue)
- Hands-on acquisition integration experience at pace, with ownership not just involvement
- Financial acumen. You build your own analyses and can defend story point cost models to engineering leadership and finance stakeholders
- You set high standards, hold others to them, make decisions with available information, and do not wait for consensus
