Head of Programmatic Customer Success

Anthropic · San Francisco, CA | New York City, NY · Onsite

LeadCustomer success & supportPosted today

What they ask for

Customer SuccessRecruiting

About 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

Anthropic's Customer Success organization covers our most strategic enterprise accounts through dedicated Customer Success resources, but the majority of our customers will never be reached that way. Programmatic Customer Success is how we close that gap: scalable digital journeys, AI-built engagement plays, and partner-delivered activation motions that drive habitual Claude adoption across a much broader customer base.

This is a new function, and you'd be its first leader. You'll report to the Head of Strategic Deployments & Success and work closely with Product, Partnerships, Growth Marketing, and Strategy to design and operate the system that moves customers from signed contract to deeply embedded, outcome centric usage.

The right person for this role has built something like this before, at real scale, and is genuinely excited to build it again from the ground up with better tools. We anticipate using Claude as a core part of how the team operates, but will supplement with best of breed SaaS products where appropriate.

Key responsibilities

    Define the customer journey and moments that matter along the journey that lead to daily usage of Claude in a way that delivers outcomes for Claude users

      Define and own the programmatic CS strategy: how we tier accounts, what motion each tier receives, and how customers move between them as their needs evolve

        Design and ship digital success programs, including lifecycle communications, in-product nudges and self-serve onboarding in a way that drives activation and habitual usage without human-touch coverage

          Build and run AI-powered engagement plays that extend the team's reach; work with Product to clarify what this team builds versus what lives in the product itself

            Set the quality bar and requirements for partner-led activation, and maintain a tight feedback loop with our Partnerships team who owns the partner ecosystem

              Establish the metrics framework for programmatic success: define what "activated" means at each tier, identify leading indicators, and build the instrumentation to track them

                Run a rigorous experimentation program to understand which motions actually change customer behavior

                  Hire and lead a small, high-leverage team while bringing cross-functional partners along on the vision and the operating model

                  Minimum qualifications

                    Proven experience leading and building programmatic, digital success, lifecycle, or PLG motions at significant scale — with direct ownership of an adoption or activation outcome

                      Track record of building scalable systems and programs, not just managing existing ones; you've started from a blank page before

                        Strong cross-functional instincts — comfortable writing briefs that other teams execute against, resolving handoff ambiguity, and influencing roadmaps without direct authority

                          Data-driven approach to decision-making, including experience designing experiments that distinguish real behavior change from activity metrics

                            Experience managing and developing teams

                            Preferred qualifications

                              Experience spanning more than one of: digital/PLG, partner ecosystems, lifecycle marketing, or scaled CS — ideally combined into a single integrated motion

                                Hands-on familiarity with AI-powered workflows or automation as a force multiplier for a small team

                                  Background working at a fast-growing technology company where the playbook was still being written

                                    Experience with tiered coverage models and designing the handoffs between high-touch and low-touch

                                    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:

                                    $365,000 — $435,000 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.

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