Customer Success Programs Manager

About Anthropic

Anthropics 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

At Anthropic we believe the next generation of Customer Success looks fundamentally different; most customer outcomes will be delivered through programs not 1:1 relationships and increasingly without a human in the loop. As a Success Programs Manager youll own a portfolio of those programs and flex across whatever the function needs to drive adoption and value at scale.

As a CS Programs Lead youll think How could we do this with Claude as a reflex your default is to build an agent or an automated journey before you build a manual workflow. But youre also fluent in the craft of running engagements: youve personally designed and delivered 1:many webinars stood up onboarding cohorts and built communities that compound. You move comfortably between shipping an AI-native lifecycle flow on Monday and facilitating a live customer cohort on Tuesday.

Youll work across the full Claude product surface designing and shipping the programs that take customers from activation to value realization expansion and renewal. Instead of managing a book of accounts youll manage a portfolio of programs each one a compounding asset that serves more customers more effectively every week it ships. You hold a high bar for measurable impact you instrument what you build and you retire what doesnt earn its keep.

If the idea of a CS team that builds and ships as much as it joins calls excites you and you want the range to do both this role is for you.

Key responsibilities:

• Build and run a portfolio of programmatic CS plays (activation scale and expand) across the long tail and unmanaged segments spanning Claude Enterprise; Cowork and Claude Code.

• Design and ship Claude-powered engagement plays that replace or augment traditional CSM touchpoints: use-case discovery chats digital QBRs health reviews feature nudges consumption-drop saves and expansion prompts. Define entry criteria agent behavior exit criteria and success metrics for each.

• Design and deliver high-leverage live engagements. 1:many webinar series onboarding cohorts customer communities and academies and look for every opportunity to make them AI-native repeatable and self-serve over time.

• Flex across the needs of the function. Some weeks the priority is an agent; some weeks its a cohort or a community launch. You bring comprehensive knowledge of what effective CS programs look like and apply the right model to the problem in front of you.

• Instrument every program with consumption product telemetry and qualitative signals. Know which touchpoints digital or live deliver the most value and where the handoff between digital and human should sit and invest accordingly.

• Treat every cohort as an experiment. Continuously iterate on agent prompts workflow logic content facilitation and channel mix. Hold a high bar for measurable impact; kill plays that dont move the numbers.

• Represent the customers a human will never meet. Synthesize patterns from thousands of program interactions and channel them to Product Marketing and Education so repeat issues get solved once.

• Partner with Scaled CSMs Sales Strategy & Operations and Support to define the rules of engagement: where programmatic graduates to human where human hands back to programmatic and how the modes reinforce rather than duplicate each other.

• Model what Claude-native CS looks like and help the rest of the CS org get there your ratio of things-you-wrote to things-you-shipped-with-Claude should tilt hard toward the second.

You may be a good fit if you have:

• 6-8 years in Customer Success with meaningful time in a Digital Scaled or Programmatic CS function.

• A clear track record of delivering measurable customer outcomes; activation adoption NRR retention without a dedicated 1:1 relationship.

• Youve shipped lifecycle programs in-app flows digital QBRs academies webinar series community programs or churn-save automations that moved real numbers.

• Hands-on fluency with AI in your own workflow. Youve prototyped agents generated content analyzed accounts or replaced internal processes with LLMs and you can talk concretely about what worked what didnt and whats next. You dont wait for AI tooling to arrive; you build it.

• Direct experience running live 1:many engagements. Webinar series onboarding cohorts communities or academies and the instinct to make them more AI-native and repeatable every time you run them.

• Comprehensive knowledge of effective CS programs and the range to flex across them. You know the strengths and failure modes of tech-touch pooled 1:many and digital models and you pick the right one for the problem rather than defaulting to the one you know best.

• A restless how could we do this with Claude reflex. When you see a manual workflow your first instinct is to replace it with an agent. When you see a 1:1 touchpoint you ask whether it could be 1:many or pure digital.

• Strong data instincts. Youre comfortable analyzing trends reading consumption dashboards and translating product telemetry into triggers. SQL or lightweight scripting is a plus.

• Technical literacy with API-first and developer-facing products. You can follow a Claude Code workflow reason about token economics and have a credible product conversation with technical customers and PMs.

• Excellent written communication. Most of your output is customer-facing copy prompts agent instructions facilitation guides and playbooks. Tone clarity and specificity matter.

• Conviction about responsible AI deployment and genuine interest in Anthropics mission.

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policy for using AI in our application process.