Level

Anthropic

Product Manager, Public Sector

Anthropic is hiring a Product Manager, Public Sector in Washington DC, United States. It pays $305k-$385k a year and Level rates it ; you can apply on Anthropic.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
  • The listed pay starts 70% above the typical AI product manager posting on Level.
  • The posting allows some remote work.
  • Anthropic mentions visa sponsorship in this posting.
  • Tools and skills the posting cites include AI safety, AI research and product management.

AI in this role

Lead product management for public sector solutions, integrating Claude AI into government workflows and agency operations.

ai-safetyai-researchproduct-managementgovernment-relationsuser-researchstrategy

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Governments do some of the most consequential work there is: deciding benefits claims, getting veterans to care, investigating financial misconduct, running unemployment insurance, and producing the analysis that world leaders act on. Anthropic's public sector team exists to put Claude in the production path of that work. In the US and some allied governments, Claude is already in daily use across major agencies and US states.

The next steps need a particular kind of product manager: someone who can walk into an institution they have never worked with, sit with the people doing the work and find, alongside them, the workflow that matters. The best government products we know of started as an idea that came out of the room rather than a requirements document. 

The scope is large: a product portfolio here is a set of governments rather than a feature area. A year in, success looks like agencies delivering services more effectively because public servants are doing core parts of their job with Claude in the loop, and at least one thing that you learn from them shipping to every Anthropic enterprise. That is a lot of surface; you will have to choose where to go deep, and we will back the choice.

We are hiring across civilian, state and local, govtech, and national security portfolios and will match you to one on background and interest. Some portfolios require eligibility for a US security clearance, though most do not. You would be among the first product managers on the team, working with a dedicated engineering and research team and with the policy, go-to-market, customer success, and applied AI leads who already spend their days inside these agencies.

In this role, you will:

  • Alongside GTM, run discovery inside government institutions to find where Claude belongs in the production path of their work, then shape the product around what you find
  • Own product decisions for our government models and product offerings and the agency workflows built on top of them
  • Spot the government needs worth generalizing and carry them into Anthropic's broader roadmap. Many of Anthropic’s commercial features started as public-sector customer problems
  • Help Anthropic navigate government compliance regimes 
  • Partner with our cloud and integration partners 

You may be a good fit if you:

  • Have shipped successful products end-to-end. We weigh product judgment above any domain credential
  • Can point to something you built that was your idea: it came from watching people work rather than from a requirements document
  • Get things done through teams that don't report to you. In addition to the dedicated team, this role runs through a variety of partner teams inside Anthropic and many offices inside each agency.
  • Move on your own clock. You have shipped in an organization with a fast cadence, or you set the pace in an environment that didn't
  • Have built domain intuition fast in large enterprises that do not resemble each other
  • Are a US person. We have agreements with the US Government that mandate this for these roles.

Strong candidates may also have:

  • Roughly 7+ years building and shipping products, or equivalent scope
  • Real intuition for how government operates, earned either from the inside or at a digital services organization or by building products public servants actually use
  • Taken a public-sector or field requirement into a commercial product that succeeded
  • Fluency with AI products: evaluations, model behavior as part of the product surface
  • Shipped inside a FedRAMP, classified, or comparable compliance boundary
  • Negotiated with or steered large partners such as cloud providers or systems integrators
  • An active TS/SCI security clearance with the US government (relevant for only some roles)
  • Ability to travel up to 25% of the time 

The annual compensation range for this role is listed below. 

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:$305,000—$385,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

How we rate this

Product Manager, Public Sector at Anthropic rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyAI ResearchProduct ManagementGovernment RelationsUser ResearchStrategy

Also common in AI product manager jobs at this level

Pay

This job starts at
$305k
Typical AI product manager job
$180k

This posting starts 70% above the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Tell me about a research question you investigated. What did you find?
  3. Tell me about a project where product management was part of your work. What did you do?
  4. Tell me about a project where government relations was part of your work. What did you do?
  5. Tell me about a project where user research was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Safety, AI Research, Product Management, Government Relations, and User Research. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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