Product Manager - Post Training

The Post-Training Product Manager partners with frontier AI researchers to prioritize work, connect research with product and user needs, and move model capabilities toward usable products. The role requires technical fluency across post-training, evaluations, infrastructure, safety, and model behavior, along with strong senior individual-contributor judgment.

About the job

Responsibilities

Partner with post-training research leaders on priorities, sequencing, decision points, and connections to the broader model and product agenda.
Maintain visibility across SFT, RL, data and environments, evaluations, safety, model behavior, inference, training infrastructure, and product dependencies; identify gaps before they become blockers.
Translate ambiguous research and product questions into concrete learning plans, including assumptions, evidence, experiments, user signals, and decision points.
Build lightweight operating mechanisms covering owners, status, dependencies, decisions, risks, release criteria, and follow-through without imposing conventional software-development processes on research.
Bring qualitative and quantitative evidence about model behavior and real workflows into research prioritization.
Connect research, product, infrastructure, safety, and leadership on cross-functional decisions and broader model or product tradeoffs.
Support the path from research results to usable capabilities through internal adoption, evaluation, documentation, release readiness, product integration, and post-launch feedback.
Write clear narratives explaining learnings, uncertainties, required decisions, and the significance of the work.
Take ownership of critical unassigned work needed to advance research-product outcomes.

Requirements

Experience as an early or first product leader in a technical startup, AI lab, research organization, or new product area with an undefined role and operating model.
Experience working closely with model training, post-training, reinforcement learning, evaluations, data, safety, inference, developer platforms, or another technically demanding research-product area.
Ability to understand research deeply enough to earn trust, ask sharp questions, and connect technical choices to model behavior and users without overstating expertise.
Strong track record identifying missing connections, unresolved assumptions, or cross-team decisions that specialists may overlook.

Nice-to-haves

Ability to represent user and product truth in a research environment without reducing research to customer requests.
Comfort making progress while goals, metrics, or paths are evolving, including using learning loops instead of launches when appropriate.
Clear communication skills and willingness to change recommendations when evidence changes.
Motivation for senior individual-contributor ownership and proximity to technical work rather than managing a large PM team.
Background as a research product leader or early AI product leader at a frontier lab, model company, or technically ambitious startup.
Experience as a technical founder, former engineer, applied scientist turned product leader, or first PM who commercialized a novel technical capability.
Experience with product management for model training, post-training, evaluation platforms, data systems, ML infrastructure, or developer platforms.

Compensation and Benefits

Annual salary: $350,000–$450,000 USD.
Visa sponsorship, health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support.

Skills

Product Management, Post-Training, Reinforcement Learning, Model Training, Evaluations, Model Behavior, Machine Learning Infrastructure, Inference, Data Systems, Safety, Developer Platforms, Sft, Research Operations