Engineering Manager, Vertical AI Products (Multiple Roles)

External

Anthropic · New York City, NY

Full-timeOn-site1mo ago30+ days old, may be filled

ComplianceDocumentationIncident ResponseLeanSAFe

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About the role

Anthropic's Verticals team builds AI products purpose-built for specific industries-financial services, life sciences, healthcare, and legal. Most of these teams are being built 0→1 right now: you'll be forming the team, defining the product, and shipping the first version in markets where no one has done this well yet. Where we're further along, products are already live with enterprise customers and growing fast. We're hiring Engineering Managers to lead the teams building Claude for Financial Services, Life Sciences, and 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 all four 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 - 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. The product is live with early customers and expanding fast; you'll lead engineering through that growth Claude for Healthcare - We're earlier here: standing up a team to build 0→1, focused initially on payer workflows (claims, prior authorization, utilization management, member communications), with groundwork for clinical applications over time. You'll be defining the product and the team at the same time.

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 rel

Engineering Manager, Vertical AI Products (Multiple Roles)

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