Connectionism: Research Blog by Thinking Machines Lab. Backed by a16z, Accel and GV.
About the role
This is a product role for someone who can operate inside frontier research without trying to turn research into a conventional software roadmap. The work requires judgment, technical fluency, user empathy, discretion, and the ability to create clarity without creating bureaucracy.
What they're looking for
- Experience as an early or first product leader in a technical startup, AI lab, research organization, or new product area where the role and operating model were not defined for you
- Experience working closely with model training, post-training, RL, 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 your expertise
- Strong track record identifying the missing connection, unresolved assumption, or cross-team decision that specialists may not see while deep in the work
- Ability to represent user and product truth in a research environment without reducing research to a list of customer requests
- Comfortable making progress when the goal, metric, or path is still evolving, and the correct next step may be a learning loop rather than a launch
More about this role
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
This is a product role for someone who can operate inside frontier research without trying to turn research into a conventional software roadmap. The work requires judgment, technical fluency, user empathy, discretion, and the ability to create clarity without creating bureaucracy.
The Post-Training Product Manager will work as a high-trust partner to our post-training researchers. Your role is to understand the work deeply enough to ask the right questions, identify missing connections, surface implications, and help the team decide what matters next. The role sits at the seam between research, model behavior, data and environments, evaluations, training and inference infrastructure, safety, product, and the people using our models.
Inkling was post-trained across math, agentic code and tool use, audio, image, chat, and safety, with a...
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