Product Manager, Seller Experience

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.

As a Product Manager in the Internal Products and Technologies organization, you'll own the experiences our sales teams use to configure, price, quote, approve, and close deals. You’ll partner with Engineering, Sales, Deal Operations, Finance, and Legal to shape how customers buy from Anthropic. You’ll balance a fast, simple seller experience with rigorous governance.

You might be a good fit if you have

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.

• Deeply understand sellers, Deal Desk, Legal, and Order Management workflows and how tooling can improve their impact.
• Own product strategy and roadmap for quoting, approvals, and deal execution, using AI wherever it makes the experience meaningfully better.
• Partner with engineering to design and ship the systems behind quoting, pricing, and approvals, and own adoption as well as launch.
• Make prioritization calls across competing stakeholder needs.
• 8+ years in product management, including ownership of complex internal or enterprise products.
• Experience building or scaling CPQ (configure, price, quote), pricing, or approval systems for complex enterprise deals.
• Experience shipping AI-powered workflows that people relied on in production.
• Experience with products where financial controls and auditability matter.
• A record of resolving conflicting priorities across functions without direct authority.

$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.

For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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.

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