Paraform
Technical Lead Manager, AI Platform
San Francisco · Junior
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About the role
- We have 20 engineers and more than $100M in ARR, and we're scaling the engineering team roughly 3x over the next year.
- You'll read PRs, review evals, and ship production code yourself, every week, not occasionally.
- The management load grows as the team does, but the technical bar you set personally is a core part of the job.
Responsibilities
- it owns the matching, ranking, and agentic systems that decide which recruiter sees which role, which candidate reaches which company, and how much of the hiring process runs without a human touching it.
- This is a TLM role: you'll manage a pod of Applied AI, ML, and Product engineers while staying deep in the core ML work yourself, from data and model design to the hardest ranking and matching problems.
- The matching, ranking, and retrieval models are yours at the code level: data and labeling strategy, feature and embedding design, model selection, training, and fine-tuning.
- Agentic systems. LLM-powered workflows and automation that take real work off recruiters, hiring managers, and our own ops team. Reliability matters as much as capability; these systems act on behalf of real businesses.
Requirements
- 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
Skills
- Core ML, hands-on.
- The hardest modeling problems.
- Matching and ranking.
- Trust & safety.
Company info
- You'll partner closely with product and data science and be accountable for outcomes, not output: match quality, automation rate, and the hiring velocity our systems create for customers.
- We're hiring a technical leader to own the AI Platform engineering team.
This listing is sourced directly from Paraform's careers page and normalized into a canonical job model.