Technical Program Manager- ML

Own the program-level picture across concurrent research and engineering workstreams: what is in flight, who owns it, what is due, and what is slipping.

Translate customer and product requirements into prioritized internal work, and keep delivery timelines honest against what has been committed externally.

Serve as a program-level point of contact for customer deployments — carrying their needs inward, and carrying status, tradeoffs, and timelines back out.

Surface risks and blockers before they become schedule problems, and drive them to resolution across teams.

Run the re-prioritization conversations when commitments change: what continues, what pauses, what gets reassigned, and who needs to hear about it.

Build reporting and tracking that engineers will actually maintain — enough signal to steer by, light enough to survive a fast quarter.

Partner with senior technical leads and the leadership team without directing the technical approach.

4–7 years as a Technical Program Manager or equivalent, supporting AI/ML or data-driven engineering teams.

Experience across the AI/ML lifecycle — data collection and labeling, model training, evaluation, and deployment.

Experience working directly with customers or external stakeholders, turning their needs into internal priorities and timelines.

A demonstrated track record of bringing structure to ambiguous, fast-moving technical programs.

Bachelor’s degree in a technical discipline (Computer Science, Engineering, or related), or equivalent practical experience.

Experience in autonomous vehicles, robotics, drones, embedded systems, or another autonomy domain.

Experience supporting AI/ML programs at scale inside a larger technology organization — recommendations, ranking, ads, or consumer AI.

Background in data operations, data security, or systems integration.

Experience supporting field operations or production customer deployments.

Comfort acting as a trusted technical point of contact for customers in mission-critical deployments.

Fluency with Notion, Slack, and Google Workspace — and the judgment to keep tooling minimal.

PMP, Certified Scrum Master, or equivalent Agile certification.

Startup or high-growth experience, with a strong bias toward ownership and urgency.