Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 23 days ago

Product Policy — Thinking Machines Lab

Accel portfolio7,376 open roles

Pay
$300,000 – $360,000 a year
Where
San Francisco, CA, USA
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowProduct Policy — Thinking Machines LabAccel portfolio · San Francisco, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Accel portfolio's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.5% of postings close within 7 days. Measured by our own scanner across the market. Accel portfolio postings stay open a median of 28 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.5%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 23 days ago

Accel portfolio median: 28 days open

The posting

About Thinking Machines

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 looking for an experienced policy leader to build and lead Thinking Machines' product policy function.

Product policy shapes the rules that govern how Thinking Machines' products and models are built, released, and used: usage policies, content and safety policies, model release and access policies, and developer-facing policies for platforms like Tinker. You'll set policy positions on product-level questions, build the review processes and frameworks that operationalize them, and partner directly with Research, Product, Trust & Safety, Communications, Public Policy and Legal so that policy is built into decisions from the start, not bolted on after launch.

This is a build role that will take ownership of it end-to-end: hiring and developing a team, and establishing the policies, review processes, and cross-functional muscle that let the company launch new capabilities responsibly and quickly.

Important contact about this role: In this position, you may be exposed to and/or engage with explicit content across a range of topics, including those of a sexual, violent, or psychologically disturbing nature.

What You'll Do

  • Set and drive Thinking Machines' product policy strategy, including usage policies, content and platform policies, and policies governing new model capabilities and releases.
  • Build and lead the product policy team, including hiring, structuring the function, and establishing how it partners with Research, Product, Trust & Safety, Communications, Public Policy and Legal.
  • Own the frameworks and review processes that assess new product features and model capabilities for policy risk before launch, and drive the mitigations that come out of that review.
  • Partner with public policy and research on the company's policy response to novel product and capability questions, including open-weight model release, fine-tuning and customization on platforms like Tinker, agentic capabilities, and enterprise use cases, translating fast-moving product decisions into clear positions and recommendations for leadership.
  • Partner with Trust & Safety, Research, and Communications to build user-facing policies, including acceptable use and enforcement frameworks, that are both principled and practical to enforce.
  • Develop the internal infrastructure for product policy decision-making, including intake processes, review thresholds, escalation paths, and decision logs, so policy is built into product and research decisions early rather than at the point of launch.

Skills and Qualifications

Minimum qualifications:

  • 10+ years of experience in product policy, trust & safety, content policy, or a related field, including significant experience assessing product and platform risk.
  • Experience building and leading a product policy, trust & safety, or content policy function, including hiring and managing a team.
  • Strong track record partnering directly with product and engineering teams on policy questions embedded in the development lifecycle, from early design through launch.
  • Excellent judgment translating complex, fast-moving product and policy questions into clear, actionable recommendations for executive leadership.
  • Strong relationship-building and communication skills, with the ability to represent the company credibly with regulators, industry counterparts, and internal stakeholders alike.

Preferred qualifications—we encourage you to apply if you meet some but not all of these:

  • Experience in a frontier AI company or on an AI safety or trust & safety team, with familiarity with model release, fine-tuning, or agentic product policy questions.
  • Experience building policy or risk review frameworks for novel technology, such as ranking and recommendation systems, generative AI, or other emergent product surfaces.
  • Familiarity with the technical fundamentals of frontier AI development sufficient to engage credibly with research and engineering teams.
  • Background in law, trust & safety, or content policy, with experience navigating regulatory frameworks relevant to product policy, such as online safety regulation, child safety, or platform governance.

Logistics

  • 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 $300,000-360,000 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.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Accel portfolio's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Accel portfolio's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Accel portfolio's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.