Technical Lead Manager, AI Platform

The role

You will manage a pod of Applied AI, ML, and Product engineers while staying hands-on with core ML work. You will own matching, ranking, and agentic systems to drive match quality and automation.

What you will do

• Hire, coach, and level a pod of applied AI, ML, and Product engineers.
• Manage core ML including data and labeling strategy, feature and embedding design, model selection, training, and fine-tuning.
• Solve ambiguous, high-risk ML problems like ranking models and cold-start problems.
• Develop retrieval, ranking, and personalization systems.
• Build LLM-powered agentic workflows and automation.
• Develop trust and safety systems for fraud and spam detection.
• Own evaluation frameworks to measure quality, reliability, and business impact.
• Manage the quality, cost, and latency frontier of the system.
• Turn ambiguous business goals into a quarterly plan and ship it.
• Read PRs, review evals, and ship production code every week.

Required qualifications

• Staff-level IC depth in ML or applied AI
• 1+ years managing or formally tech-leading engineers or 4+ years setting technical direction across multiple teams
• Shipped production ML or LLM systems used by real people at scale
• Eval-driven knowledge of measuring model quality against business outcomes
• Data-fluent with ability to pull SQL and sanity-check experiment readouts
• AI fluency
• Ability to write operating norms, decision docs, and postmortems
• Desire to write production code every week

About the company

Paraform is an end-to-end AI recruiting marketplace that connects companies with specialized recruiters and AI agents. The company grew revenue 8x last year and is backed by Scale, Felicis, A*, BOND, Liquid 2, and DST Global.