Key responsibilities
Lead and grow the team. Hire, coach, and develop engineers, give clear and honest feedback, and build a team that owns its domain end to end.
Own the commercial data model. Set the direction for how commitments, pricing terms, account hierarchies, and entitlements are modeled, so a new deal structure extends the model instead of working around it.
Own the pricing primitives: the catalog of products and rates, and the constructs that let contracted pricing follow a customer across products and new model launches.
Make the contract the source of truth. Build systems of record that Finance can close the books on and trace back to the signed contract, with reconciliation against the CRM and every downstream billing system designed in from the start.
Automate the path from signature to a live customer. Lead the durable workflows that provision a signed deal across Anthropic's products and the cloud platforms where Claude is sold, recover from partial failure, and route exceptions to the right person with the context to resolve them.
Build for people and agents. Own the interfaces for agreements, entitlements, and pricing terms that seller tools and Claude-powered agents read and write, so both get the same safe, auditable capabilities.
Own planning and delivery. Turn competing asks from Sales, Deal Desk, Finance, Legal, and product teams into a clear roadmap, make the trade-offs explicit, and hold the team to its milestones.
Operate what you ship. Set SLOs on the flows your team runs, instrument them so discrepancies surface before month-end close, and keep on-call sustainable as volume grows.
Minimum qualifications
8+ years of industry experience, including 3+ years leading software engineering teams including hiring, coaching and performance management.
A strong background building production backend systems, with enough depth in a language such as Go, Python, or Java to review designs and code.
Experience leading teams that built billing, payments, pricing, contract management, or other financial systems of record in production.
Experience modeling transactional or financial data, including relational databases and SQL.
Experience leading teams that built and operated asynchronous, long-running workflows, such as on a durable workflow engine like Temporal or on queues and state machines.
Preferred qualifications
Experience building CPQ, contract management, or quote-to-cash platforms, and firsthand knowledge of how one change to pricing terms ripples through quoting, provisioning, invoicing, and revenue reporting.
Experience with enterprise commercial structures such as multi-year or ramped commitments, drawdowns, amendments and renewals, or one agreement shared across many accounts.
Experience integrating or extending third-party billing, payment, or CRM platforms, and opinions on where they fall short.
Experience building revenue reconciliation or financial reporting pipelines, or systems that had to pass a financial audit.
Experience automating a high-touch operational process and measuring the manual work it removed.
Experience building LLM-powered tools or agents, or systems designed for agents to call safely.
Experience growing a team through a period of rapid company growth.
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
$405,000—$485,000 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.
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.
