Manager, Customer Productivity
AnthropicSan Francisco, CA | New York City, NYPosted 10 April 2026
Job Description
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 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:
Design and build a scalable customer training program focused on activation, adoption, and value realization
Develop onboarding resources, workshops, and deep-dive content around our platform and products
Define and track the metrics that determine whether customers are achieving value, partnering with Sales and Customer Success to close gaps
Partner with Product and Product Marketing to build enablement materials aligned to new product releases and evolving use cases
Serve as a resource and advisor to GTM teams for customer engagements, helping them articulate value and guide adoption
Build and maintain a knowledge base and self-service learning resources that scale beyond one-to-one engagement
Leverage Claude and advanced technologies to scale the program and model best practices for customers
You may be a good fit if you have:
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
Enterprise technical sales experience with strong presentation and communication skills — comfortable in front of both technical and executive audiences
Program management experience, including building enablement or productivity programs from the ground up
A track record of thriving in fast-paced, ambiguous environments where you define the playbook rather than follow one
Exceptional strategic thinking and storytelling skills, with the ability to distill complex AI concepts into clear, actionable frameworks
Experience collaborating with Sales leaders, Product, Marketing, and Operations to shape customer-facing motions
Strong analytical skills with a data-driven approach to measuring program effectiveness
A proactive, scrappy approach — combining strategic vision with a willingness to build and execute hands-on
Strong candidates may have:
Experience at an AI company or high-growth technology organization that has scaled a customer-facing function
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.
Annual Salary:
$270,000
$310,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A fie ... (truncated, view full listing at source)
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