AI Lead / Engineering Manager

Responsibilities

• Team leadership and delivery
• Own team coordination, delivery timelines, workload allocation, and project follow-through for a small engineering team
• Keep work moving: break down ambiguous goals, sequence them with Product, flag slippage early, and make sure commitments are met
• Give clear, constructive technical feedback in code review, design discussions, and 1:1s, and raise standards without demotivating people
• Grow the team's capability, including how we use AI tooling to work faster without lowering quality
• Technical leadership
• Assess the current engineering bar and raise it. Define what "good" looks like for AI-native development, and make it the shared standard
• Set and enforce expectations in five areas
• Observability: logging, monitoring, and tracing that make AI behavior, cost, and failures visible
• Testing: strong test coverage and automated-testing rigor, including evaluation of AI outputs

Languages