Research Product Manager

Thinking Machines Lab•San Francisco, CA

8d•$175,000 - $475,000•Onsite

About The Position

As a Research Product Manager (RPM) at Thinking Machines Lab, you’ll play a central role in driving complex, high-impact technical products and programs that span research, infrastructure, and applied. You’ll help turn ambitious ideas into reality by driving cross-functional efforts, maintaining momentum across projects, and creating clarity in fast-moving, ambiguous environments. Your work will connect people, ideas, and systems to ensure that our most important research initiatives stay aligned, well-scoped, and moving forward efficiently. It’s for someone who thrives in deeply technical discussions, understands the rhythm of research, can abstract at high-level and get into the weeds, with the ultimate goal of helping the company execute at scale.

Requirements

Degree in computer science, artificial intelligence, mathematics, physics, engineering, or similar
Experience in research program management, product management, or similar

Nice To Haves

Masters or PhD in computer science, artificial intelligence, mathematics, physics, engineering, or similar
Past experience at a frontier or academic research lab, contributing to research in artificial intelligence
Past publications relevant to artificial intelligence or frontier models, with contributions to areas like evals, multimodality, human-ai interaction, post-training, pre-training, data, or other similar domains needed to conduct frontier AI research
Ability to learn new technical domains
Strong technical communication, written and verbal

Responsibilities

Drive and coordinate large-scale research products and programs, ensuring that complex projects are executed efficiently, transparently, and with scientific excellence.
Translate technical ideas into actionable, well-scoped plans, defining milestones and keeping teams aligned across model development, data campaigns, infrastructure, and product integration.
Collaborate across disciplines — from research and ML infrastructure to legal and business development — ramping up quickly on new domains as needed.
Create and maintain compute and resource roadmaps, identifying bottlenecks, trade-offs, and opportunities to accelerate progress.
Synthesize and communicate progress across diverse technical teams, ensuring the right people are looped in at the right time and that information flows smoothly across the organization.
Support the integration of new technologies and research insights into production systems and product roadmaps, bridging the gap between frontier research and real-world applications.