Engineering Manager, Verticals – Financial Services

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.

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

You may be a good fit if you

• 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

Strong candidates may also have

• 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

Representative projects

• Partnering with an investment banking customer to understand their deal documentation workflow, then working with product to translate that into a concrete engineering roadmap

• Building an incident response and communication playbook for outages or degradation in Microsoft 365 integrations—and running the post-mortems that drive real improvements

• Owning a compliance initiative from scoping through delivery: working with legal and security, defining what engineering needs to build, and getting your team across the line

• Collaborating with a cross-functional team to develop a new AI-powered product feature, and working with stakeholders to ensure its successful launch