Manager, Customer Productivity
AnthropicAbout 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 an experienced professional to build and lead our customer productivity and training program. As a key member of the Go-to-Market team, you will be responsible for designing the frameworks, resources, and engagement motions that ensure our customers are successfully adopting Claude and realizing measurable value. This is not a support role — you will define what the program infrastructure looks like to drive it for customers.
You will work at the intersection of our product, our customers, and our field teams — translating deep technical knowledge of Claude into structured programs that accelerate customer time-to-value. You will partner closely with Sales, Customer Success, Product, and Product Marketing to ensure our training approach evolves alongside our product and GTM strategy.
This is a ground-floor opportunity to architect a customer productivity function from scratch. The right person will combine strong technical fluency, value-based outcomes, with program-building instincts and a bias toward measurable outcomes.
Responsibilities:
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Design and build a scalable customer training program focused on activation, adoption, and value realization
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Develop onboarding resources, workshops, and deep-dive content around our platform and products
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Define and track the metrics that determine whether customers are achieving value, partnering with Sales and Customer Success to close gaps
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Partner with Product and Product Marketing to build enablement materials aligned to new product releases and evolving use cases
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Serve as a resource and advisor to GTM teams for customer engagements, helping them articulate value and guide adoption
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Build and maintain a knowledge base and self-service learning resources that scale beyond one-to-one engagement
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Leverage Claude and advanced technologies to scale the program and model best practices for customers
You may be a good fit if you have:
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8+ years of experience in a customer-facing role such as sales engineering, solutions consulting, or technical enablement within AI/ML or enterprise technology organizations
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Enterprise technical sales experience with strong presentation and communication skills — comfortable in front of both technical and executive audiences
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Program management experience, including building enablement or productivity programs from the ground up
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A track record of thriving in fast-paced, ambiguous environments where you define the playbook rather than follow one
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Exceptional strategic thinking and storytelling skills, with the ability to distill complex AI concepts into clear, actionable frameworks
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Experience collaborating with Sales leaders, Product, Marketing, and Operations to shape customer-facing motions
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Strong analytical skills with a data-driven approach to measuring program effectiveness
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A proactive, scrappy approach — combining strategic vision with a willingness to build and execute hands-on
Strong candidates may have:
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Experience at an AI company or high-growth technology organization that has scaled a customer-facing function
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Familiarity with Claude, Claude Code, or similar AI developer tools is a plus and can be developed on the job
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.
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