Technical Program Manager, Revenue Operations

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

Anthropic is seeking a Technical Program Manager to join our Revenue Operations organization as part of the GTM Programs team. Your central objective is seller efficiency: removing the friction, manual work, and process gaps that keep our account executives from spending their time with customers. You'll drive the cross-functional initiatives that make that possible, and the most important of them are not incremental. Think overhauling the quoting process end to end, redesigning how the company forecasts, or transforming Salesforce from a system of record into a platform for agentic selling, where Claude works alongside our sellers rather than waiting to be queried. Alongside those, you'll run the steady stream of territory rollouts, process changes, and systems work that keeps the GTM engine running. Your work will sit at the intersection of Sales, Revenue Operations, GTM Systems, Finance, Marketing, and Legal.

Most of what you'll own has both a process side and a systems side, and the two rarely stay separate for long. A change to how we define a segment touches Salesforce data models, downstream reporting, compensation plans, and how account executives spend their week. You'll be the person who sees the whole chain, sequences the work across the teams involved, and makes sure the change lands cleanly with the people who have to live with it. You'll need to understand our GTM stack well enough to scope work credibly with systems engineers and admins, and understand how sellers work well enough to know when a plan looks good on paper but won't survive contact with a quarter-end.

Our go-to-market organization is growing quickly, and many of the programs you run will be first-of-their-kind, both for us and for the industry. Few companies are in a position to rebuild their sales motion around frontier AI using the model they build; you'll help decide what that looks like in practice. You'll treat operational excellence as an ongoing practice rather than a destination: measuring how sellers actually spend their time, finding the next source of drag, and fixing it. This is a role for someone who brings structure to ambiguity, cares about how things actually land, and wants their work to directly support Anthropic's ability to bring safe, frontier AI to the customers who use it.

Key responsibilities

• Partner with Revenue Operations, Sales, and GTM Systems leaders to define, scope, and sequence the initiatives on the GTM Programs roadmap, prioritizing the work with the greatest impact on seller productivity
• Lead transformational programs that redesign core GTM processes and systems from the ground up, such as quoting, forecasting, or the role Salesforce plays in how we sell, rather than only optimizing what exists
• Identify where sellers lose time to manual work, unclear process, or tooling gaps, quantify the cost, and turn the highest-value fixes into programs
• Own end-to-end program plans, milestones, and dependency maps for multi-team initiatives spanning process, data, systems, and enablement work
• Act as the primary bridge between business stakeholders in Sales and the teams who build and administer our GTM systems, translating requirements in both directions
• Drive cross-functional coordination across Sales, Revenue Operations, GTM Systems, Finance, Marketing, Legal, and Enablement
• Manage change for the field: plan communications, training, and rollout timing so that new processes and tools are adopted rather than worked around
• Identify risks, blockers, and resourcing gaps early, and drive them to resolution
• Provide clear, candid reporting on program status, decisions, and risks to Revenue Operations and Sales leadership
• Define how success is measured for each program, including its effect on seller time and productivity, and follow through after launch to confirm the change had the intended effect
• Continuously raise the bar on how the GTM organization operates, retiring processes that no longer serve their purpose and simplifying the ones that remain

Minimum qualifications

• Experience leading complex, cross-functional programs from definition through delivery, including programs with a significant systems or data component
• Working knowledge of go-to-market processes and how a Sales organization operates, such as territory planning, lead-to-cash, forecasting, or deal desk
• Hands-on familiarity with Salesforce as a user or program owner, sufficient to scope work and evaluate tradeoffs with the engineers and administrators who build on it
• Proficiency with core program management practices and tooling: building plans, tracking dependencies, running planning cadences, and managing risk
• Strong written and verbal communication, including the ability to distill technical and operational detail for sales leadership
• A track record of influencing without authority and building alignment across teams with competing priorities
• Comfort operating in ambiguity and shifting priorities while keeping the larger goal in view
• A demonstrated orientation toward operational excellence: a track record of finding inefficiency in how teams work and eliminating it

Preferred qualifications

• Experience in Revenue Operations, Sales Operations, GTM Systems, or a similar function at a high-growth technology company
• Experience leading a ground-up redesign of a core GTM process or system, such as a quoting, forecasting, or CRM transformation, rather than incremental improvements alone
• Experience applying AI or automation to sales workflows, or strong opinions about how agentic tools should change the way sellers work
• Familiarity with the broader GTM tool ecosystem, such as CPQ or quoting tools, Gong, marketing automation platforms, data enrichment tools, or GTM analytics
• Ability to query data directly (for example, SQL or Salesforce reporting) to verify program status and measure outcomes independently
• Experience leading change management for a large field organization
• Experience measuring and improving seller productivity, such as time-to-productivity, selling time, or process cycle times
• Experience building program management frameworks or a programs function in a rapidly scaling organization
• Prior experience as a systems administrator, analyst, or engineer on a GTM stack
• A strong interest in Anthropic's mission and in ensuring AI is developed safely

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.