Product Lead, Healthcare
San Francisco, CA | New York City, NYFull-TimeLeadOther
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
- The U.S. healthcare system wastes hundreds of billions of dollars a year on administrative complexity—the friction between payers, providers, and the systems that connect them. We believe AI can materially reduce that waste, and we’re building the products to do it.
- We’re looking for someone to own this effort. As the product lead for Healthcare, you will be Anthropic’s healthcare leader—setting strategy, shipping products, and serving as the company’s voice in one of the most consequential industries AI will transform. You’ll work across product, engineering, research, go-to-market, policy, and safety to build a healthcare business from early momentum into a scaled vertical.
- This is a 0→1 role. It will be your job to take ownership, sharpen the plan, and drive execution. The scope is broad—healthcare touches nearly every function at the company—and you need to be the kind of person who thrives catching all the balls, triaging what matters, and making sure nothing important falls through the cracks. Low ego, high accountability.
Responsibilities:
- Own Anthropic’s healthcare strategy end-to-end. You are the DRI, accountable for the plan, the priorities, and the results.
- Build and ship AI products that address high-value workflows across the payer, provider, and health tech ecosystem. Identify where the biggest pain is, define what to build, and drive it to market.
- Be Anthropic’s healthcare leader externally. When a customer, partner, regulator, government agency, or journalist wants to talk to Anthropic about healthcare, you take the meeting. You’re credible, prepared, and trusted.
- Triage and coordinate the many cross-functional threads that healthcare creates across the company—product, research, engineering, applied AI, sales, safety, policy, legal, and compliance. Find a home for everything and make sure it moves forward.
- Define the product and research roadmap in close partnership with engineering and research teams. You don’t need to lead research day-to-day, but you need sharp instincts about where the model falls short in healthcare contexts and the ability to work with the right teams to close those gaps.
- Drive regulatory readiness—including HIPAA compliance—across Anthropic’s products as they serve healthcare customers.
- Build relationships with strategic customers and partners. Translate what you learn from the market into product priorities, data partnerships, and go-to-market strategy.
You May Be a Good Fit If
- You’ve spent meaningful time inside the healthcare industry. You’ve worked deeply with payers, providers, or health tech companies and you know how the system actually works: the regulations, the incentives, the operational realities, and where the real inefficiencies live.
- You have 10+ years of experience in healthcare, with a significant portion spent close to administrative workflows, revenue cycle, payer operations, or the technology that supports them.
- You’ve built products or businesses from scratch (0→1) in complex, regulated environments. You know what it takes to go from ambiguity to a shipped product with real customers.
- You have strong cross-functional instincts and genuine willingness to do the work. This role involves as much coordination, follow-through, and unglamorous problem-solving as it does strategy. You are not above any task.
- You have strong product judgment and enough technical fluency to engage meaningfully with engineers and researchers on tradeoffs—without needing to be the most technical person in the room. You know when the model isn’t good enough for a given use case and can articulate what “better” looks like.
- You communicate exceptionally well. You can translate between the languages of AI capabilities, healthcare operations, regulatory requirements, and business outcomes with equal comfort.
- You have experience navigating HIPAA, CMS regulations, or other healthcare compliance frameworks and understand what it takes to ship products in heavily regulated industries.
Why This Role
- Healthcare is one of the largest and most important industries in the world, and it’s on the cusp of a generational technology shift. Anthropic is building the most capable and safety-focused AI in the industry, and this role puts you at the center of bringing that technology to the sector where it can do the most good. You’ll have the autonomy to define strategy, the mandate to ship products, and the backing of a world-class team across research, engineering, and go-to-market.
- If you’re the kind of person who wants to build something that matters—and has the healthcare expertise and entrepreneurial drive to actually pull it off—we want to hear from you.
- 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.
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.
