Renewals Leader
Anthropic is seeking a Renewals Leader to build and scale the renewals function, owning strategy, execution, and forecasting for recurring revenue. This role involves leading a team of Renewals Managers and collaborating with cross-functional teams to drive customer outcomes and predictable revenue.
About the job
About the Role:
We’re looking for a Renewals Leader to build and scale the function that protects and grows Anthropic’s recurring and committed revenue. This role owns renewals strategy, execution, and forecasting — ensuring we deliver exceptional customer outcomes while sustaining durable, predictable revenue as our enterprise base scales. Anthropic operates on a consumption-based model, which makes this fundamentally different from a traditional renewals role. Your team won’t simply be renewing contracts on a fixed cycle — they’ll be managing customer commitments in step with real usage, catching consumption risk early, and converting healthy adoption into expanded commitments. You’ll build the playbooks, the forecasting rigor, and the early-warning systems that make retention a strength rather than a scramble. You’ll lead and develop a team of Renewals Managers, partner closely with Sales, Deal Desk, Finance, and Customer Success, and serve as a trusted commercial voice in front of strategic customers. This is a builder’s role: you’ll be one of the first dedicated leaders for this function, so the processes, culture, and standards you set become the template.
What you'll do:
- Build and lead the renewals team. Hire, develop, and retain a team of Renewals Managers. Define how the function covers the customer base, set the performance bar, and create a culture of accountability and customer-centricity.
- Own the renewal number. Own renewal bookings, gross and net retention, on-time renewal metrics, forecast accuracy, and renewal pipeline health. Identify risk early and implement mitigation strategies to reduce churn and contraction.
- Define the operating model. Establish scalable renewal playbooks, stage definitions, qualification criteria, and operational rigor — adapted for the realities of consumption-based revenue rather than fixed contract cycles.
- Forecast with rigor. Drive accurate weekly and monthly renewal forecasting and reporting that leadership can plan against, grounded in usage data and customer health signals.
- Drive expansion at renewal. Partner with Sales and Customer Success to convert adoption depth into expanded commitments, and lead executive-level renewal conversations for strategic accounts where required.
- Collaborate across the GTM organization. Work with Sales on territory and account strategy, with Deal Desk and Finance on pricing, terms, and approvals, and with Strategy & Operations on forecasting and field alignment.
- Lead with an AI-first mindset. Use data, automation, and tooling — including Claude — to optimize renewal processes, monitor KPIs, and continuously raise the bar on performance.
You may be a good fit if you have:
- 8–12+ years of experience in SaaS, PaaS, or consumption-led businesses, with significant exposure to renewals, retention, sales, or customer success
- 3–5+ years of people management experience leading renewals, retention, or commercial teams
- A proven track record of owning and exceeding renewal and retention targets in complex, enterprise deal cycles
- Excellent forecasting and pipeline management skills, with a reliable, evidence-based approach to calling the number
- Demonstrated ability to influence cross-functional stakeholders — Sales, Finance, Deal Desk, and Customer Success — at all levels
- A strong analytical mindset and comfort using data to drive decisions
Strong candidates may also have:
- Direct experience with consumption-based or usage-based pricing models, and the unique retention dynamics they create
- Background in data, AI, cloud, or developer-platform businesses
- Experience building a renewals or retention function from the ground up, including playbooks, forecasting cadence, and team structure
- Experience operating across multiple regions and markets
- Passion for AI and alignment with Anthropic's mission of beneficial AI development
Annual Salary:
$260,000—$315,000 USD
Logistics
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- 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.
Skills
Forecasting, Pipeline Management, SaaS, Paas, Consumption-Based Pricing, AI, Data Analysis, Sales, Customer Success, Deal Desk
Similar jobs
Revenue Operations jobsLeads pre-sales programs for Forward Deployed Engineering, owning pipeline qualification, portfolio prioritization, complex deal execution, contracting workflows, partner coordination, and sales-to-delivery handoffs. Requires services pre-sales experience, technical fluency in AI and software, strong analytics, and cross-functional influence.
Leads strategy for complex, high-value AMER commercial deals, developing proposals, ROI analyses, negotiations, and reusable deal-execution frameworks. Requires 8+ years in deal strategy, strategic sales, pricing, or commercial strategy and strong financial, analytical, and storytelling skills.
Leads go-to-market commission strategy, compensation-plan design, and operating execution while partnering with senior sales and finance leaders. The role requires strong financial modeling, data fluency, cross-functional transformation experience, and an AI-enabled approach to scalable compensation operations.
Owns end-to-end commercial execution for professional-services engagements, drafting SOWs and coordinating pricing, approvals, risk resolution, and delivery handoffs. Requires 7+ years of relevant B2B experience and substantial hands-on SOW drafting expertise.
Build and operate FP&A systems, integrations, data models, and forecasting infrastructure across Pigment and enterprise finance platforms. The role requires 8+ years of FP&A systems experience, advanced SQL and data engineering skills, and strong knowledge of financial planning and reporting.