Manager, Customer Success

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.

As a Manager of Customer Success at Anthropic, you'll be our first EMEA front-line leader managing our EMEA Customer Success Managers who drive value across our entire product portfolio—including API, Claude.ai, and Claude Code. You'll directly coach and develop a team of 8-12 EMEA CSMs while maintaining strategic oversight of high-impact customer engagements. This role demands exceptional people leadership combined with deep product knowledge and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization.

• Directly manage and develop a team of 5-8 Customer Success Managers supporting strategic enterprise accounts across all Anthropic products (API, Claude.ai, Claude Code) in EMEA
• Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite
• Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT)
• Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at Fortune 500 companies
• Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks
• Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies
• Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption
• Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales
• Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise
• Conduct regular 1:1s, performance reviews, and career development planning for direct reports
• Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development
• Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio
• Develop customer advocacy programs including case studies, testimonials, and reference architecture development
• Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions

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.

• 7+ years of experience in customer success, account management, or customer-facing roles, with 4+ years of front-line management experience
• Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies
• Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values
• Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures

£165,000—£195,000 GBP

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.