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Project Manager · United States

Senior Technical Program Manager

clera·San Francisco

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ABOUT THE ROLE

Own complex data and evaluation programs for AI research teams and internal partners at an early-stage AI data infrastructure startup. You will bring structure to ambiguous technical requests and build reliable processes that help improve LLM and agent evaluations.

WHAT YOU'LL DO

  • Lead data and evaluation programs from scoping and requirements gathering through production, quality assurance, delivery, and retrospectives.
  • Turn evolving technical requests into clear specifications with milestones, owners, dependencies, and acceptance criteria.
  • Assess and improve data quality using quantitative metrics and qualitative review, including task coverage, difficulty, and reward distributions.
  • Manage external vendors across the delivery lifecycle and scale delivery pipelines.
  • Improve workflows, documentation, automation, and cross-functional handoffs for data production.
  • Work with research, platform, and marketplace teams to turn operational learnings into product improvements.

WHAT WE'RE LOOKING FOR

  • At least 3 years of experience owning complex technical programs in AI/ML, data operations, support engineering, applied research, forward-deployed engineering, or a similar cross-functional area.
  • Experience as a Technical Program Manager or Strategic Program Lead at a startup, including supporting AI research teams, technical enterprise customers, or other partners with urgent, changing needs.
  • Strong quantitative and qualitative judgment, with the ability to assess both aggregate dataset metrics and individual examples.
  • Experience managing vendors and improving data quality processes, workflows, and delivery pipelines.
  • Familiarity with RLHF, reinforcement-learning environments, agent evaluations, human-in-the-loop data pipelines, annotation, or expert data collection is valuable.

COMPENSATION & BENEFITS

Visa sponsorship and relocation support are available for strong full-time candidates.

LOCATION

On-site in San Francisco, California. Remote candidates may be considered if they can maintain substantial time zone overlap with San Francisco or Singapore.

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