Technical Productivity Manager

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2 class="heading"><strong>About the role</strong></h2> <p>Anthropic is seeking an experienced Technical Productivity Manager to join our GTM Technical Productivity team. In this role, you will own the end-to-end technical onboarding experience for GTM new hires and build the technical enablement infrastructure that helps our go-to-market teams deeply understand and effectively sell Claude. This is a high-impact, high-ownership role for someone who thrives at the intersection of technical depth and scalable program design. You will work closely with Sales, Customer Success, Product, and Applied AI teams to ensure every GTM hire is productive, confident, and technically fluent from day one.</p> <h2 class="heading"><strong>Responsibilities:</strong></h2> <ul> <li> <p>Own the technical onboarding problem space for all global GTM new hires</p> </li> <li> <p>Take ownership of a technical sales onboarding program post-launch: gather feedback, identify gaps, iterate on curriculum, and improve metrics</p> </li> <li> <p>Design and build success onboarding from scratch: scope, curriculum design, content coordination with trainers, assessments, and launch</p> </li> <li> <p>Facilitate program-level sessions for both programs—orientation, cross-domain overviews, product deep dives, certification</p> </li> <li> <p>Design assessments and certifications appropriate for each audience’s needs</p> </li> <li> <p>Design systems to automate ongoing maintenance and administration of your programs</p> </li> <li> <p>Track metrics for both programs and drive continuous improvement based on data and field feedback</p> </li> <li> <p>Partner with Sales, Customer Success, Product, and Applied AI to keep content current and impactful</p> </li> </ul> <h2 class="heading"><strong>You may be a good fit if you have:</strong></h2> <ul> <li> <p>5-7 years of experience building content, programs and products in technical sales, program management, product, or software development</p> </li> <li> <p>Experience both building new solutions from scratch AND iterating/improving existing solutions</p> </li> <li> <p>Strong technical foundation—hands-on experience with AI-assisted software development, APIs, and modern tech stacks; able to learn new domains quickly</p> </li> <li> <p>Experience designing for different audiences with different technical levels (e.g., engineers vs. salespeople)</p> </li> <li> <p>Excellent facilitation and presentation skills; comfortable adapting delivery to audience</p> </li> <li> <p>Strong coordination and stakeholder management skills</p> </li> </ul> <h2 class="heading"><strong>Strong candidates may also have:</strong></h2> <ul> <li> <p>Experience with AI/ML technologies, LLMs, or developer tools/APIs</p> </li> <li> <p>Background in both product development AND sales/commercial enablement</p> </li> <li> <p>Experience managing or coordinating subject matter experts, trainers, instructional designers, or content creators</p> </li> <li> <p>Experience at high-growth startups </p> </li> <li> <p>Prior experience building certification or assessment programs</p> </li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below. </p> <p>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.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$190,000</span><span class="divider"></span><span>$ ... (truncated, view full listing at source)