Engineering Manager, Verticals – Financial Services

Anthropic•New York City, NY

3d•Hybrid

About The Position

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 Financial services is one of the most consequential domains for AI—and one of the most demanding. Workflows are complex, data is sensitive, regulatory expectations are real, and the people using these tools are experts who will immediately know if something doesn't work. That's exactly the kind of challenge we're here for. Anthropic's Verticals team builds AI-powered products purpose-built for the industries where this complexity is highest. We're in early growth, moving fast, and earning the trust of enterprise customers who have seen a lot of vendors promise transformation and deliver demos. This role is about building something that actually changes how financial services teams work—and building the team that can do that sustainably. We're looking for an Engineering Manager to lead the engineering work serving our financial services customers, with a near-term focus on deeply integrated experiences within Excel and PowerPoint. You'll own the people and execution of a team working on document-centric AI workflows—the kind that show up in investment banking, asset management, insurance, and corporate finance every day. Beyond your pod's work, you'll be a cross-vertical contributor, helping the broader Verticals team learn from what you're building and shape where we go next. This is a high-ownership role at a company that's genuinely in a position to define what AI looks like in professional services for years to come.

Requirements

Are a skilled engineering manager who takes the craft of management seriously: clear feedback, strong 1:1s, hard conversations handled well, and consistent investment in your team's growth
Have experience building products for or within financial services—you understand how these organizations work, what they care about, and why trust and reliability aren't negotiable
Know how to operate in an enterprise sales environment; you're comfortable alongside sales and customer success teams and can hold your own in customer conversations
Have shipped AI-powered products and developed a grounded, practical understanding of what it takes to make them reliable and useful in high-stakes contexts
Are experienced with the operational realities of building on third-party platforms—you've thought through degradation strategies, incident response, and the accountability gaps that come with dependencies you don't control
Thrive in early-growth environments where the product is real but the playbook is still being written

Nice To Haves

Deep domain knowledge in financial services—investment banking, asset management, insurance, corporate finance, or similar—whether from working within these institutions or building products for them
Direct experience with compliance frameworks relevant to financial services and healthcare, and a track record of owning or driving compliance initiatives within an engineering organization; familiarity with HIPAA is a meaningful differentiator
Experience managing teams that use AI-assisted coding tools, and a considered perspective on what that means for code review, quality standards, and engineering norms
Exposure to both product-led growth and direct enterprise sales motions, with an understanding of how engineering decisions interact differently with each
Vendor management experience—negotiating with, evaluating, or operationalizing third-party technology providers
Familiarity with model evaluation frameworks and how evals can inform product decisions, not just research ones

Responsibilities

Lead and develop a team of engineers building AI-powered experiences in Excel and PowerPoint for financial services enterprise customers
Own engineering execution end-to-end: project planning, prioritization, delivery quality, team health, and incident response
Partner closely with sales and customer success teams on enterprise deals—understanding customer requirements, participating in key conversations, and translating what you learn into engineering priorities
Work with product and design to shape the roadmap, not just execute against it; you'll have a meaningful voice in what we build and why
Maintain operational reliability on top of third-party platforms (the Microsoft 365 ecosystem), and build the processes that make your team resilient when those dependencies behave unexpectedly
Engage with research and evaluation frameworks—developing intuition for model behavior, understanding evals, and helping the team make sound tradeoffs between capability and reliability
Drive compliance and regulatory initiatives relevant to your customers, including owning the internal engineering work required to meet them
Recruit, onboard, and develop strong engineers; give direct feedback, grow careers, and build a team culture that earns the confidence of enterprise customers