We're hiring Engineering Managers to lead the teams building Claude for Financial Services, Life Sciences, Healthcare, and Legal. 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.

Responsibilities

• Lead and develop a team of engineers building new 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 working with enterprise customers, working alongside sales and customer success and joining customer conversations
• Know the operational realities of building on platforms and integrations you don't control
• 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

• Experience in working with research to improve domain specific model capabilities
• Experience with model evaluation frameworks and how evals inform product decisions
• Experience taking a product from 0→1,forming a team, finding product-market fit, and shipping the first version with limited precedent to lean on
• Deep domain knowledge in one of these verticals,investment banking, asset management, insurance, or corporate finance; drug discovery or computational biology; clinical operations, health systems, or payers; or legal practice or legal tech
• Direct experience with the compliance frameworks relevant to these industries, including owning that work within an engineering org
• Exposure to both product-led growth and direct enterprise sales, and an understanding of how engineering decisions interact with each

Representative projects

• Partnering with an enterprise customer to map a core workflow,a deal-documentation process, a target-identification pipeline, a prior-authorization queue,and turning it into an engineering roadmap with a new or existing AI product
• Collaborating with research to design an evaluation framework that gives reliable signal on output quality across your domain's use cases
• Owning a platform-readiness initiative end-to-end,scoping with legal and security, defining the engineering work, and shipping it

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.

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