Product Manager, Billing

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

As a Product Manager in the Internal Products and Technologies organization, you'll partner with Engineering, Design, Growth, Trust & Safety, Support, and Finance to build the billing experiences every Claude customer uses, from the first purchase to the monthly invoice:

• We own how customers buy and manage Claude: choosing and changing plans, viewing invoices, tracking usage and spend, and setting spend controls.
• Your work reaches everyone who pays for Claude: individuals upgrading a plan, teams adding seats, developers buying credits, and enterprise admins managing budgets across thousands of users.
• You'll define how Claude should explain a charge, change a plan, or set a spend limit for a customer. You'll also define how admins set spend controls for the agents their teams run.
• You'll own billing experiences that convert well, resist abuse, and let customers resolve billing questions on their own.

Responsibilities

• Deeply understand customers across segments (consumers, developers, teams, and enterprise admins) and where billing friction costs us conversion, trust, or support volume.
• Partner with Growth on purchase, upgrade, and plan-change flows, balancing conversion against clarity and long-term customer trust.
• Partner with Trust & Safety to stop abuse of Claude plans and credits without adding friction for legitimate customers.
• Design agentic billing experiences: Claude answering billing questions, resolving common issues, and taking billing actions, with a confirmation step wherever a mistake would cost the customer money.
• Partner with Engineering and Design so every Claude product gives customers the same clear way to buy, upgrade, and manage spend.
• Drive product strategy and roadmap, synthesize competing stakeholder needs, and communicate prioritization clearly to senior leadership.

You may be a good fit if you:

• Have 7+ years of product management experience, including self-serve purchase, subscription, or billing experiences.
• Have shipped self-serve experiences where you owned conversion and retention metrics and ran experiments to move them.
• Have strong product design instincts, and can make a confusing concept like proration, overage, or credits clear on a single screen.
• Have built LLM-powered or agentic product features, and have a point of view on when an agent should act on its own and when it should ask first.
• Are equally credible discussing system design with engineers, abuse patterns with Trust & Safety, and funnels with Growth.
• Are comfortable making tradeoffs between growth, risk, and financial accuracy, and explaining them clearly.
• Are scrappy and resourceful, and do what it takes to get things done.

Strong candidates may have:

• Shipped customer tools for usage-based or hybrid pricing (seats, usage, credits), such as usage dashboards, spend limits, and alerts.
• Worked with Trust & Safety or risk teams to prevent abuse of plans, credits, or free trials.
• Launched a product in new countries, including local pricing, tax, and currency.
• Built self-serve help experiences that measurably reduced billing support contacts.
• Scaled through hypergrowth (10x+ revenue).

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:

$385,000—$460,000 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.