Manager, Technical Success (API)

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<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><strong>About the Role</strong> </h2> <p>As a Manager of Technical Success at Anthropic, you'll be a critical front-line leader managing a team of 5-8 Technical Success Managers who help our customers harness the full potential of our API solutions. You'll directly coach and develop a high-performing team focused on driving customer adoption, optimization, and growth while maintaining hands-on involvement with strategic customer engagements. As a leader with deep technical expertise, you'll play a key role in building out our Technical Success function, developing playbooks, and establishing best practices that will scale as we grow.</p> <h2>Responsibilities:</h2> <ul> <li class="whitespace-normal break-words">Build and lead a high-performing Technical Success team supporting Anthropic's most strategic customers, ensuring deep understanding of our technology and its transformative applications</li> <li class="whitespace-normal break-words">Drive team growth through strategic hiring, coaching, and development while building a strong customer-centric culture</li> <li class="whitespace-normal break-words">Provide hands-on technical coaching to TSMs on AI/ML concepts, API integration patterns, and implementation best practices</li> <li class="whitespace-normal break-words">Own and improve team-level metrics including customer health, retention, expansion, and satisfaction across our customer base</li> <li class="whitespace-normal break-words">Build and refine processes to monitor customer health, identify risks early, and drive mitigation strategies</li> <li class="whitespace-normal break-words">Partner with the Head of Customer Success to develop scalable methodologies and playbooks for the broader organization</li> <li class="whitespace-normal break-words">Serve as an escalation point for technical issues and complex customer situations within your team's portfolio</li> <li class="whitespace-normal break-words">Collaborate with product and engineering teams to represent customer needs and drive product improvements that enable customer success</li> <li class="whitespace-normal break-words">Support cross-functional initiatives with Sales, Product, and Engineering teams to improve customer outcomes and platform adoption</li> </ul> <h2>You may be a good fit if you have:</h2> <ul> <li class="whitespace-normal break-words">7+ years of experience in technical customer-facing roles, with 3+ years managing customer success or technical teams</li> <li class="whitespace-normal break-words">Track record of building and managing technical success teams at enterprise software or AI/ML companies</li> <li class="whitespace-normal break-words">Hands-on technical experience with API technologies and complex AI/ML concepts, including understanding of LLMs, prompt engineering, and production AI deployments</li> <li class="whitespace-normal break-words">Proven ability to influence product direction through structured customer feedback and data-driven insights</li> <li class="whitespace-normal break-words">Experience owning customer relationships and driving business outcomes at strategic accounts</li> <li class="whitespace-normal break-words">Strong executive presence and ability to represent Anthropic with customer technical and business leaders</li> <li class="whitespace-normal break-words">Strategic mindset with the ability to balance customer success with business objectives</li> <li class="whitespace-normal break-words">Experience building team processes, playbooks, operational frameworks, and using data to drive team and customer outcomes</li> <li class="whitespace-normal break-words">Proven ability to develop team members and build high-performing organizations</li> <li class="whitespace-normal break-words">Passion for responsible AI development and deployment</li> </ul> <p><strong>Deadline to apply: </strong>None. Applications will be reviewed on a rolling basis. </p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The expected salary range for this position is:</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$270,000</span><span class="divider">—</span><span>$270,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Education requirements: </strong>We require at least a Bachelor's degree in a related field or equivalent experience.<strong><br><br>Location-based hybrid policy:</strong> 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.</p> <p><strong data-stringify-type="bold">Visa sponsorship:</strong> 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.</p> <p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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.</p> <h2><strong>How we're different</strong></h2> <p>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.</p> <p>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.</p> <h2><strong>Come work with us!</strong></h2> <p>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. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong> Learn about <a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process</p></div>

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