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GTM Programs Manager, GTM Initiatives

anthropicRemote-Friendly (Travel-Required) | San Francisco, CA | New York City, NYPosted 20 Oct 2026

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About this role

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's go-to-market organization is growing quickly, and our most important priorities for customers and for our field rarely sit within one team.

Priorities cut across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, Partnerships and more. We're looking for a strategic program manager to own these initiatives end to end. You'll start with an ambiguous ask, sometimes from a senior leader and sometimes from a signal in the data. You'll find the root cause of the problem and design a solution with subject-matter experts across the company, then drive it from strategy to planning to results to iteration.

You’ll bring stakeholders along while still moving quickly to the right answer. The work ranges from large cross-functional programs to short, focused SWAT efforts on urgent questions. Success looks like making better decisions, faster, for our customers and our field. This is a strategic, highly cross-functional individual contributor role for someone equally comfortable building a business case, running a forum with senior stakeholders, getting into the data, and working directly with the field.

You'll operate with high autonomy on the most critical GTM questions we face. Key responsibilities Own a portfolio of strategic GTM programs end to end, each starting from a business problem (e.g., customer activation, seller efficiency, model launches) and running from scoping through launch, operationalization, results, and iteration Act as a thought partner to Sales and GTM leaders: identify, scope, and prioritize the programs most worth doing, and say no to the rest Turn ambiguous, loosely scoped problems into structured analysis, a defensible model, and a clear plan with owners, milestones, and decision points Align and drive teams across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, and Partnerships without formal authority over any of them Engage senior executives on the status and outcomes of the most critical programs Manage change so new programs are adopted by the field, and define and report on success metrics such as adoption, time-to-value, and productivity impact Use AI tools every day to analyze, model, and build faster Create the templates, cadence, and reporting that help every future program launch well Minimum qualifications Have led complex cross-functional programs from problem definition through delivery, in strategy consulting, strategy and operations, GTM or sales programs, or program management A track record of turning ambiguous problems into clear, defensible recommendations Have driven initiatives to completion across teams you do not manage, including when senior stakeholders disagreed Analytical skills: building a business case and quantitative model, defining targets, and pulling and analyzing your own data from CRM and BI tools Clear written and verbal communication, with experience presenting analysis and recommendations to senior and executive audiences A working understanding of how an enterprise sales organization operates Have built programs or processes where none existed, and owned the outcome through to results Are motivated by Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications A background in strategy consulting followed by an in-house role where you built and ran programs and strategic projects Experience running sales or GTM programs with measured results, such as pipeline, activation, adoption, or launch programs Experience working within a sales operating cadence, such as forecast calls and pipeline reviews, Sales planning, product launches Hands-on experience using AI tools daily to work faster and more rigorously, including building workflows with Claude or similar tools Experience at a company selling technical or AI products Experience as an early hire in a new team or function The annual compensation range for this role is listed below.

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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: USD 270,000 — USD 310,000 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

Source listing: greenhouse_anthropic

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