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.
You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, legal, and compliance teams to ensure our products reach customers to support Anthropic's rapid growth. Day-to-day, you'll quarterback complex deals through CPQ, contract management, and internal approvals. Over time, you'll also identify and drive improvements to the systems and workflows you operate in — embedding approved deal structures into Salesforce, improving CPQ configurations, and helping build the operational infrastructure that lets a lean team support enterprise deal volume at scale.
Quarterback deals through internal processes — CPQ quote-building, approval routing, contract execution — ensuring accurate, timely completion
Own Anthropic’s deal-making execution processes, ensuring that all commercial workflows can seamlessly navigate internal processes
Build AI-native tooling with internal teams to meaningfully scale our commercial processes
Optimize operational workflows that reduce friction in the sales cycle and accelerate time-to-close
Act as the bridge between Sales and supporting teams, maintaining contract and compliance management systems and ensuring agreement terms align with company standards
Maintain visibility on high-priority deals, providing appropriate escalation paths when commercial terms require executive input
Collaborate with Legal teams to validate that agreements reflect the correct commercial intent and approvals
Track and analyze deal patterns to identify bottlenecks and propose data-driven improvements to our sales operations
Maintain and improve deal documentation: approval policies, pricing guidelines, SKU guidance, and process playbooks
Have 3+ years of experience in deal desk, sales strategy, commercial operations, or related roles, preferably in a high-growth technology environment
Are comfortable both executing within existing systems (CPQ, SFDC, contract platforms) and improving those systems as you go
Bring a detail-oriented, process-improvement mindset: you notice when something is manual or error-prone and you want to fix it
Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments
Strong project management skills with experience juggling multiple critical initiatives
Bias toward action and comfort operating in ambiguity
Have experience with CRM systems, CPQ tools, and contract management platforms
Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership
Experience with Salesforce, CPQ tools (Nue, Apttus, Steelbrick), or contract management platforms (Ironclad, Docusign CLM)
Background in project management, sales strategy, or commercial operations, where you’ve balanced operational excellence with building scaled systems
Experience with deal operations at companies with subscription and/or consumption-based business models
Knowledge of enterprise software contract terms and industry-standard commercial practices
Understanding of AI business models and the unique commercial considerations
Strong communication skills
Business partnership (experience working with Sales teams)
Deep operational experiences
Systems and process optimization
Capable of building new AI-powered workflows
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.
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.
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.
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