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 the Healthcare Sales Lead within Anthropic's Healthcare & Life Sciences team, you will define and execute our AI transformation strategy for health insurance companies and health plans. You'll build and lead a small, specialized team focused on the payer segment, developing repeatable playbooks that guide payers through end-to-end AI strategy definition, implementation, and scale across their critical business functions—from claims processing and utilization management to member engagement and provider network optimization.
This role requires deep domain expertise in the payer business model combined with strategic AI advisory capabilities. You'll become the go-to expert on how Claude transforms payer operations, working directly with C-suite executives at major health plans to design multi-year AI transformation roadmaps. Your playbooks will enable both your team and our broader field organization to drive consistent, high-value outcomes across the payer segment.
You'll partner closely with payer executives to understand their strategic priorities—whether reducing medical costs, improving Star Ratings, enhancing member experience, or streamlining administrative burden—and translate these into concrete AI use cases with measurable ROI. Success means establishing Anthropic as the strategic AI partner for the payer industry.
Payer Strategy & Playbook Development: Develop comprehensive, repeatable playbooks for AI transformation across the payer value chain. Create frameworks that address claims adjudication, prior authorization, care management, member services, provider contracting, Medicare Advantage operations, and risk adjustment.
Team Building & Leadership: Build and lead a specialized team that deeply understands payer operations and can credibly engage with health plan executives on AI strategy. Develop your team into trusted advisors who can navigate complex payer organizations.
Executive Engagement: Partner directly with payer C-suite executives (CEOs, CFOs, CMOs, CTOs, CCOs) to understand their strategic priorities and design multi-million dollar AI transformation initiatives. Build long-term trusted advisor relationships.
Domain Expertise: Serve as Anthropic's subject matter expert on payer operations, business models, regulatory environment (CMS regulations, HIPAA, state insurance departments), and competitive dynamics. Translate this expertise into repeatable go-to-market strategies.
Cross-Functional Orchestration: Work closely with Account Executives, Applied AI Engineers, Customer Success, Product, and Legal teams to ensure seamless execution of complex payer deals and implementations.
Industry Partnerships: Build strategic relationships with payer-focused system integrators (e.g., Cognizant, Accenture, Optum Advisory, Deloitte Health), health tech vendors, and industry organizations to scale our go-to-market capabilities.
Thought Leadership: Establish Anthropic's position as the AI partner of choice for payers through conference presentations, white papers, case studies, and participation in industry forums like AHIP, NAHU, and regional Blues plans associations.
Have 10+ years of experience in healthcare, with at least 5 years specifically in the payer segment (health plans, managed care organizations, PBMs, or payer-focused consulting)
Have deep understanding of payer business models, operations, and economics including claims processing, medical management, network contracting, risk adjustment, and regulatory compliance
Have experience in leadership roles driving technology transformation or operational improvement initiatives within payer organizations or as a payer-focused consultant
Have built and led teams (even small ones) that delivered measurable business outcomes in healthcare settings
Are skilled at translating complex business problems into technology solutions and vice versa, with ability to engage credibly with both clinical and technical stakeholders
Have strong strategic thinking combined with hands-on execution capability—comfortable building frameworks while also rolling up sleeves on deals
Are an influential communicator who can build trust with payer C-suite executives and navigate complex healthcare organizations
Have experience with healthcare technology implementations and understand the regulatory constraints that shape payer operations
Are passionate about using AI to improve healthcare delivery and reduce administrative burden in the healthcare system
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.
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.
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