Product Operations Manager, Embedded

About the Role:

We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world. 

Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns.

On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value.

Responsibilities:

1. Ship with confidence

• Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when.
• Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose.
• Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed.
• Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them.

2. Close the loop with users

• Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters.
• Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short.
• Make sure the field, Support, and Research hear back about what happened with what they sent.

3. Run the team's operating system

• Set the team's pace: planning, business and execution reviews, goal tracking, offsites.
• Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable.
• Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists.
• Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles.

4. Build with Claude

• Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job.
• Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch.

You may be a good fit if you have:

• Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan.
• Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow.
• Have worked embedded with product leadership and can move a team without formal authority.
• Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics.
• Have direct experience managing evals, refining system prompts, and adapting harnesses to new models. 
• Have direct experience working with Cloud providers in partnership or GTM capacity
• Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards.

Bonus:

• Program managed model launches or model quality at an application-layer AI product.
• Run early access, beta, or design partner programs.
• Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company.