Technical Program Manager

• Manage data and evaluation programs from scoping and requirements gathering through production, quality assurance, delivery, and retrospectives.
• Translate ambiguous technical requests into specifications with clear milestones, owners, dependencies, and acceptance criteria.
• Improve data quality processes through quantitative metrics and qualitative review, including analysis of task coverage, difficulty, and reward distributions.
• Manage external vendors across the delivery lifecycle and scale delivery pipelines.
• Improve production workflows, documentation, automation, and cross-functional handoffs.
• Partner with research, platform, and marketplace teams to turn program learnings into product improvements.
• At least 3 years of experience owning complex technical programs in AI/ML, data operations, support engineering, applied research, forward-deployed engineering, or a related cross-functional field.
• Experience turning ambiguous technical requirements into executable plans and maintaining data quality through metrics and direct inspection.
• Strong judgment assessing dataset quality, moving between aggregate measures and individual examples.
• Experience managing vendors, improving delivery pipelines, and documenting or automating workflows and handoffs.
• Background supporting AI research teams, technical enterprise customers, or other teams with urgent, changing requirements.
• Familiarity with RLHF, reinforcement-learning environments, agent evaluation, human-in-the-loop data pipelines, annotation, or expert data collection is valuable.
• Comfort working independently in a fast-paced startup environment.
• On-site in San Francisco, California. The role is also open to remote candidates who can maintain 70% to 80% time zone overlap with San Francisco or Singapore.

None flagged.