Technical Lead Manager, AI Platform
On-siteSan Francisco, California, United States
San Francisco, California, United StatesOn-siteFull TimeSenior LevelStartup
Full TimeSenior LevelStartup
Job Summary
Lead a pod of applied AI and ML engineers while deeply executing core ML work, including data strategy, model design, training, and fine-tuning for matching, ranking, and retrieval systems. Ship production code weekly, resolve ambiguous high-risk modeling problems, and build agentic workflows that automate hiring processes. Own evaluation frameworks to measure match quality and business impact, ensuring systems remain fast, economical, and safe against fraud. Translate ambiguous goals into quarterly plans and drive delivery for the AI Platform team.
Required Qualifications
- Staff-level IC depth in ML or applied AI
- 1+ years managing or formally tech-leading engineers (Tech Lead Manager) or 4+ years including setting technical direction across multiple teams (Technical Director)
- You've shipped production ML or LLM systems used by real people at scale: retrieval, ranking, recommendation, agentic workflows, or similar
- Eval-driven: you know how to measure model quality against business outcomes, not just offline benchmarks, and you can tell a real win from noise
- Data-fluent: you can pull your own SQL, sanity-check an experiment readout, and push back on a bad metric
- AI fluency is a floor here, not a differentiator. You use AI tools in your own work and you know how to raise a team's leverage with them
- You write things down. Operating norms, decision docs, postmortems. Clarity in writing is how small teams stay fast as they grow
- You still want to build. If writing production code every week sounds like a step backward, this isn't the role
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