Head of Customer Programs

Sorry, this job was removed at 04:18 p.m. (CST) on Saturday, May 30, 2026
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2 Locations
In-Office
400K-400K Annually
Artificial Intelligence • Natural Language Processing • Generative AI
The 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

This role will establish and lead the Customer Programs function inside Enterprise Marketing — the team accountable for how Anthropic engages its most strategic customers. The mandate is to start with the audience: build and govern the contact map of executives and decision-makers across our top-tier accounts, then design the portfolio of high-touch programs (Customer Advisory Boards, Executive Briefings, early access programs, co-marketing investment, customer references) to that map. This leader brings these initiatives under one strategy and owner.

A defining feature of this role is serving as the single point of contact to our leadership for our executive-level customer programs. You will work closely with the office of our Chief Commercial Officer and Sales leadership to represent what we are asking of our top customers, what they are getting from us, and what they are telling us — with workstreams and a team behind you. You will also be the standing voice of these customers inside Anthropic, ensuring their priorities are understood by Product, GTM, and company leadership. You will hire and manage a team covering advisory boards, executive briefings, early access programs, and more. The right candidate has built customer programs at a high-growth B2B company before, is credible in a room of Fortune 500 executives, and operates comfortably with GTM and company leadership.

Responsibilities

- Build the Customer Programs function: define the strategy, hire the team, establish the operating model with PMM, Strategic Events, Solutions, ABM, and Sales leadership.

- Serve as the single accountable owner to the CCO and Sales leadership for Customer Advisory Boards and executive customer engagement.

- Own the governed strategic-account audience: the named list of executives and decision-makers across our lighthouse accounts that every high-touch program draws from, maintained in partnership with sales leadership. 

- Design and run the portfolio of high-touch customer programs end to end: CAB charter and membership, EBC intake and programming, early access customer selection and feedback loops, co-marketing fund deployment, and the customer reference and speaker bench.

- Act as the voice of strategic customers inside Anthropic — bring their priorities and feedback into Product, GTM, and leadership forums, and make sure the company treats supporting them as a priority.

- Coordinate the asks we make of top customers across the company so that no executive is over-approached and every engagement is intentional.

- Own reporting on account coverage, engagement depth, and program-influenced expansion to Sales and Marketing leadership; build toward an incrementality view over time.

- Partner cross-functionally on execution — this team is the single-threaded owner of these programs (audience, programming, customer and Sales comms) and orchestrates specialists for content and production. Over time, this includes partnering with Brand on the executive hospitality standard, and how Anthropic shows up when we host our most important customers.

You may be a good fit if you have

- 10+ years in B2B enterprise marketing, customer marketing, or executive programs, including 4+ years leading a team.

- Built or significantly scaled an executive customer programs function (CABs, EBCs, executive sponsor programs, customer advocacy) at a high-growth enterprise technology company.

- A track record of being the trusted marketing counterpart to a CRO/CCO and enterprise Sales leadership — you have been the one person in the room representing customer programs to the head of the commercial org.

- Demonstrated executive presence with Fortune 500 C-suite and VP-level customers; you have personally recruited, hosted, and maintained CAB-level relationships.

- Experience designing programs from an audience-first model: starting with a named-account list and building format, content, and cadence to it, rather than filling seats for pre-built events.

- Strong cross-functional operating skills — you can define remits with adjacent teams (product marketing, events, solutions, field) and hold the line on them without friction becoming the story.

- Comfort owning a number: you have reported on coverage, engagement, and influenced pipeline/expansion and can stand behind the methodology.

- Clear written and verbal communication; you can brief an executive in three bullets and write the memo behind it.

- Genuine interest in AI and in helping the world's largest enterprises adopt it responsibly.

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:
$400,000$400,000 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 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.

Anthropic Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.

  • Strong & Reliable Incentives Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
  • Healthcare Strength Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
  • Parental & Family Support Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.

Anthropic Insights

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The Company
HQ: San Francisco, California
2,500 Employees

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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