Is the Solutions Marketing Manager, Healthcare & Science role remote?

It's hybrid — Anthropic expects some on-site time in San Francisco, CA, United States.

What's the salary range?

Anthropic lists $255,000–$320,000 for this role.

How much experience is required?

At least 8 years of relevant experience for this Solutions Marketing Manager, Healthcare & Science role.

Where is the role based?

Anthropic is hiring for this position in San Francisco, CA, United States.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, Healthcare, Marketing, Product Marketing, science.

Does Anthropic sponsor work visas for this role?

Yes — the posting indicates visa sponsorship is available for the right candidate.

What seniority level is this role?

Anthropic targets lead candidates for this position.

Solutions Marketing Manager, Healthcare & Science at Anthropic

About Anthropic

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.

About the role

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. This work matters because AI's benefit to patients, and to the people who care for them, depends on clear, credible positioning that accounts for the realities of regulated industries. You'll set vision and strategy while staying hands-on with execution, from launching and growing vertical products like Claude Science to quarterbacking demand generation campaigns that drive measurable pipeline and adoption.

In this role, you'll own positioning, messaging, and go-to-market for healthcare and science launches, features, and campaigns, ensuring cohesive positioning across distinct audiences within the vertical. In your first 90 days, you'll stand up a new commercial pitch and webinars, support the GA of Claude Science and new product capabilities, and support multiple keynotes. You'll partner closely with Product and Research, go-to-market and sales teams, Comms, Brand and Design, and Enterprise Marketing across campaigns and content.

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

Role-specific policy: For this role, we expect staff to be able to work from our San Francisco office at least once a month for cross-functional stakeholder engagement. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.

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.

Annual Salary:

$255,000—$320,000 USD

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.

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.

Come work with us!

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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.