Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
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.
We are hiring our first People Operations Generalist to own the people systems that let our staff stay focused. You’ll design processes for onboarding, compliance, and employee experience and implement that infrastructure that supports them.
This role reports to our Head of Operations and involves significant autonomy and judgment. Your choices will ensure that our people feel supported as we scale.
What You’ll Do- Shape the onboarding experience from offer acceptance through completion of new hire training.
- Design compliance systems that are reliable and seamless. Manage I-9 verification, employee eligibility documentation, and compliance training. Keep compliance simple for hiring managers and employees.
- Enable global talent access. Coordinate immigration processes with outside counsel, keeping employees informed and supported throughout a complex legal process.
- Evaluate and implement technology platforms that fit out culture and requirements: HRIS, payroll, and benefits management.
- Support the benefits experience. Administer enrollment, educate employees, and coordinate with brokers during renewals.
- Create documentation and resources that let employees find clear, consistent answers regarding our people systems.
Minimum qualifications:
- Experience in HR operations, people operations, or a related field.
- Strong knowledge of employment compliance, including I-9 requirements, state and federal regulations, and recordkeeping best practices.
- Experience supporting immigration processes in coordination with outside counsel.
- Hands-on experience with HRIS platforms (e.g., Rippling, Workday, SequoiaOne).
- Strong writing skills, experience making systems and policies clear and accessible.
Preferred qualifications — we encourage you to apply if you meet some but not all of these:
- Experience at a high-growth technology or AI company.
- Background in benefits administration or total rewards.
- Familiarity with leave management, workers' compensation, or other compliance-heavy HR domains.
- Experience building onboarding programs or improving employee experience touchpoints..
- Location: This role is based in San Francisco, California.
- Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $110,000 - $190,000 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.
Similar Jobs
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.
