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Thinking Machines LabThinking Machines LabSan Francisco, CA

Research Product Manager

Drives large-scale research products and programs in AI, coordinating cross-functional teams to translate technical ideas into scoped plans and integrate research into production systems. Requires CS/AI degree and experience in research or product management, thriving in technical, ambiguous environments.

175k – 475k/yr
On-siteProduct Management

About the role

What You’ll Do

  • 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.

Skills and Qualifications

Minimum qualifications:

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

Preferred qualifications:

  • 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

Logistics

Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $175,000 - $475,000 USD.

Benefits: Generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Skills

Artificial IntelligenceMachine LearningResearch Program ManagementProduct ManagementModel DevelopmentML InfrastructureCompute RoadmapsTechnical CommunicationMultimodalityPost-TrainingPre-Training

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