Technical Program Manager

About the role

This role sits at the intersection of technical program management, data operations, and vendor coordination for an early‑stage AI/ML infrastructure company. You will own complex data and evaluation programs for frontier AI labs and internal teams, turning ambiguous technical asks into well‑structured, executable programs. Your work directly improves the quality of LLM and agent evaluation at scale.

Key responsibilities

• Own data and evaluation programs end‑to‑end, from initial scoping and requirements gathering through production, quality assurance, delivery, and retrospective.
• Translate ambiguous requests from AI labs and internal teams into clear specifications with defined milestones, owners, dependencies, and acceptance criteria.
• Maintain and improve data quality procedures using quantitative signals and qualitative inspection, including analysis of task coverage, difficulty, and reward distributions.
• Manage external vendors throughout the delivery lifecycle and improve delivery pipelines at scale.
• Streamline data production logistics by improving workflows, documentation, automation, and cross‑functional handoffs.
• Partner with research, platform, and marketplace teams to translate learnings and feedback into product improvements.

Required profile

• 3+ years owning complex technical programs in AI/ML, data operations, support engineering, applied research, or similar cross‑functional environments.
• Demonstrated ability to translate ambiguous technical requirements into executable specifications with clear milestones, owners, dependencies, and acceptance criteria.
• Strong quantitative and qualitative judgment about data, able to assess dataset quality using both aggregate metrics and individual examples.
• Experience maintaining and improving complex data quality procedures using quantitative metrics and qualitative inspection.
• Experience managing external vendors and scaling delivery pipelines.
• Background supporting frontier AI labs, technical enterprise customers, or research teams with urgent and evolving requirements.
• Experience with RLHF, reinforcement‑learning environments, agent evaluations, human‑in‑the‑loop data pipelines, annotation workflows, or expert data collection.
• Strong written and verbal communication skills, able to turn complex technical information into clear decisions and next steps.
• Early‑stage startup experience and comfort working independently in fast‑paced environments.

Required skills

• Reinforcement Learning from Human Feedback (RLHF)
• Reinforcement‑learning environments
• Agent evaluation
• Human‑in‑the‑loop data pipelines
• Annotation workflow management

What we offer

• Competitive compensation package with equity.
• 100% employer‑covered medical, dental, and vision insurance, 401k, commuter benefits, and unlimited access to leading AI productivity tools.
• Visa sponsorship and relocation support for strong full‑time candidates.