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.
About the role
We’re hiring a Product Management Recruiter to help build the team shaping how people use our AI systems. You’ll partner with product leaders and collaborators across research, engineering, and design to recruit product managers who combine strong judgment, technical curiosity, and a deep understanding of users.
You’ll help define what effective product leadership looks like when both the technology and its applications are changing quickly. That means looking beyond familiar titles to understand what candidates have built, how they make decisions, and how they work through ambiguity.
What you’ll do
Own recruiting for product management roles, from individual contributors to product leaders.
Partner with hiring managers to define each role’s scope, expected impact, and essential capabilities.
Develop sourcing strategies across relevant talent markets, including AI products, developer platforms, enterprise software, and consumer experiences.
Conduct initial conversations that explore product judgment, customer understanding, technical fluency, and collaboration.
Help design interviews that reveal candidates’ contributions, decisions, and results.
Build compelling, accurate narratives about the work and tailor conversations to candidates’ interests.
Manage candidate relationships, offers, and closing plans while keeping hiring teams aligned.
Share market insights and pipeline trends to improve hiring decisions and search effectiveness.
What you’ll bring
4+ years of recruiting experience, including direct ownership of product management searches.
A record of hiring strong product managers across different levels or product areas.
An understanding of how product roles vary across platforms, consumer products, and enterprise businesses.
The ability to distinguish individual contributions from team outcomes and communicate candidate strengths clearly.
Experience partnering with senior leaders on role definition, assessment, and closing.
Strong written communication, organization, and candidate relationship skills.
Logistics
Location: This role is based in San Francisco, CA or New York, NY
Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $200,000 - $275,000 USD.
Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.
Skills Required
- 4+ years of recruiting experience
- Direct ownership of product management searches
- Track record of hiring strong product managers across different levels or product areas
- Understanding of product roles across platforms, consumer products, and enterprise businesses
- Ability to distinguish individual contributions from team outcomes and communicate candidate strengths clearly
- Experience partnering with senior leaders on role definition, assessment, and closing
- Strong written communication, organization, and candidate relationship skills
What We Do
Thinking Machines Lab is an artificial intelligence research and product company. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. While AI capabilities have advanced dramatically, key gaps remain. The scientific community's understanding of frontier AI systems lags behind rapidly advancing capabilities. Knowledge of how these systems are trained is concentrated within the top research labs, limiting both the public discourse on AI and people's abilities to use AI effectively. And, despite their potential, these systems remain difficult for people to customize to their specific needs and values. To bridge the gaps, we're building Thinking Machines Lab to make AI systems more widely understood, customizable and generally capable. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
