Engineering Manager, Vertical AI Products

About the role

Anthropic's Verticals team builds AI products purpose-built for specific industries—starting with financial services, life sciences, and healthcare. These are domains where workflows are complex, the users are experts, and getting the details right matters. We're in early growth: products are live, enterprise customers are deploying them, and much of the playbook is still being written.

We're hiring Engineering Managers to lead the teams building Claude for Financial Services and Claude for Life Sciences & Healthcare. You'll lead a team shipping AI into professional workflows—owning execution, working directly with customers and go-to-market, and helping shape where the broader Verticals group goes next.

We're hiring for both verticals through this posting. Team placement happens during the interview process based on your background, interests, and organizational need—if you have deep experience in one of these domains, let us know in your application.

About the teams

• Claude for Financial Services — Builds products for customers in investment banking, asset management, insurance, and corporate finance. Near-term work centers on deeply integrated experiences inside the tools these teams already use, with a roadmap expanding as we learn what's most useful. The team operates close to enterprise customers and close to research.
  
  
• Claude for Life Sciences & Healthcare — On the life sciences side, we're building an agentic research platform for scientists—orchestrating specialist agents for computational biology, literature review, and regulatory review—on top of model capabilities we're investing in for biology and chemistry. On the healthcare side, we're earlier: standing up a team focused initially on payer workflows (claims, prior authorization, utilization management, member communications), with groundwork for clinical applications over time. You'll lead engineering for these areas through fast growth and product definition.

Responsibilities

• Lead and develop a team of engineers building AI products for enterprise customers in your vertical
• Work closely with research to make the models better in your domain—shaping evals, surfacing failure modes, and feeding customer learnings back into model development
• Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response
• Partner with sales and customer success on enterprise deals—understanding requirements, joining key conversations, and turning what you learn into engineering priorities
• Shape the roadmap with product and design, not just execute against it
• Drive the compliance and platform-readiness work your customers require, partnering with security and legal
• Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team

You may be a good fit if you

• Have built AI products and have a practical understanding of what it takes to turn model capabilities into applications people actually use
• Are comfortable in an enterprise sales environment, working alongside sales and customer success and joining customer conversations
• Know the operational realities of building on platforms and integrations you don't control
• Thrive in early-growth environments where the product is real but the playbook isn't
• Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth

Strong candidates may also have

• Deep domain knowledge in one of these verticals—investment banking, asset management, insurance, or corporate finance; or drug discovery, computational biology, clinical operations, health syst