Solutions Marketing Manager, Healthcare & Science

As a Solutions Marketing lead for Healthcare & Science at Anthropic, you will position Claude as the trusted AI partner for clinicians, scientific researchers, health system leaders, and the broader pharmaceutical, biotech, provider, and payer ecosystem.

Key responsibilities:

• Own comprehensive marketing strategy for Healthcare & Science across key verticals: pharmaceutical and biotech companies, providers and health systems, payers, medical devices, and digital health
• Develop differentiated positioning and messaging across solutions webpages, campaign materials, and content for distinct audiences within the vertical
• Lead go-to-market for product and solution launches, including sector-specific offerings like Claude Science and relevant MCP integrations and skills across clinical research platforms, scientific literature tools, and EHR ecosystems
• Build a new commercial pitch and webinar program for healthcare and science audiences
• Partner with Comms on executive thought leadership about AI's potential to accelerate scientific discovery and improve patient outcomes, including flagship announcements tied to key industry initiatives
• Develop a healthcare and science content calendar with social and content teams that highlights use cases, case studies, and partnership announcements
• Drive thought leadership initiatives and speaking and event opportunities relevant to healthcare and science, including keynote support
• Build sales enablement materials, outbound campaigns, and pipeline-driving initiatives for healthcare and science enterprise accounts and research institutions
• Manage cohesive positioning across audiences as launches, features, and messaging go to market through multiple channels
• Track which channels and campaigns are driving results and identify opportunities for iteration

Minimum qualifications:

• Have deep product marketing experience with meaningful exposure to healthcare, science, or health technology
• Have worked in or with healthcare or science organizations and understand the distinct priorities and decision-making dynamics of health system, pharma, and payer buyers
• Thrive in a 0-to-1 environment, building processes where none exist and navigating ambiguity across a complex stakeholder landscape
• Are an adaptable generalist with competency across multiple marketing functions, including content, campaigns, social, analytics, and sales enablement
• Have strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for clinical, scientific, and non-technical audiences
• Are a quick learner who can rapidly absorb context on diverse healthcare verticals, regulatory considerations, and evidence requirements
• Excel at cross-functional collaboration and are comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams
• Care about AI's potential to improve patient outcomes and accelerate scientific progress while maintaining focus on responsible, safe deployment
• Are excited about Anthropic's mission to develop AI that is safe and beneficial

Preferred qualifications:

• 8+ years of product marketing experience, with at least 2 years of experience working in health technology companies marketing healthcare, science, or research software products
• Direct experience marketing to healthcare or scientist audiences, including familiarity with clinical, R&D, or commercial buying centers
• Experience with event marketing at healthcare and science conferences such as HIMSS, HLTH, BIO, or the J.P. Morgan Healthcare Conference
• A background in enterprise sales enablement, particularly in complex or regulated industries, with awareness of frameworks like HIPAA and GxP
• A track record of building marketing programs from scratch at a growth-stage company
• Demonstrated interest in the responsible deployment of AI in clinical and research contexts, including awareness of the ethical considerations unique to healthcare use cases
• Familiarity with the competitive landscape for AI in healthcare and life sciences