Engineering Manager, Vertical AI Products (Multiple Roles)

About Anthropic

Anthropics 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

Anthropics Verticals team builds AI products purpose-built for specific industriesfinancial services life sciences healthcare and legal. Most of these teams are being built 01 right now: youll be forming the team defining the product and shipping the first version in markets where no one has done this well yet. Where were further along products are already live with enterprise customers and growing fast.

Were hiring Engineering Managers to lead the teams buildingClaude for Financial Services Life Sciences Healthcare and Legal. Youll lead a team shipping AI into professional workflowsowning execution working directly with customers and go-to-market and helping shape where the broader Verticals group goes next.

Were hiring for all four verticals through this posting. Team placement happens during the interview process based on your background interests and organizational needif 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 whats most useful. The team operates close to enterprise customers and close to research.
• Claude for Life Sciences Were building an agentic research platform for scientistsorchestrating specialist agents for computational biology literature review and regulatory reviewon top of model capabilities were investing in for biology and chemistry. The product is live with early customers and expanding fast; youll lead engineering through that growth
• Claude for Healthcare Were earlier here: standing up a team to build 01 focused initially on payer workflows (claims prior authorization utilization management member communications) with groundwork for clinical applications over time. Youll be defining the product and the team at the same time.
• Claude for Legal Builds products for in-house legal teams and law firmscontract review and drafting legal research due diligence and the document-heavy work that fills a lawyers day. This team is forming now; youll be one of the first leaders shaping what we build and who we build it with.

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 domainshaping 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 dealsunderstanding 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 dont control
• Are a skilled engineering manager who treats management as a craftclear feedback strong 1:1s consistent investment in your teams 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 01forming a team finding product-market fit and shipping the first version with limited precedent to lean on
• Deep domain knowledge in one of these verticalsinvestment 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 workflowa deal-documentation process a target-identification pipeline a prior-authorization queueand 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 domains use cases
• Owning a platform-readiness initiative end-to-endscoping with legal and security defining the engineering work and shipping it

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policyfor using AI in our application process