AI Engineering Manager - Finance

Responsibilities

• Partner with the CFO org (FP&A, Accounting, Treasury, Tax, Procurement) to find the highest-value problems and turn them into AI applications, agents, and automation.
• Set the technical direction and quality bar for how Finance builds and ships AI, learning and shipping the best emerging technologies to the organization.
• Stay hands-on — review designs and code, make the hard technical calls, and set the standard for engineering quality on agents, retrieval pipelines, and model integrations.
• Own the technical evaluation of new external AI vendors end to end: define selection criteria, run structured POCs and bake-offs, pressure-test capability and cost, and make clear build-vs-buy recommendations.
• Scale the team's output as AI adoption spreads across Finance, establishing reusable components, patterns, and standards so each new use case is faster than the last.
• What we need to see
• Experience leading engineering teams that ship production software — as a manager, tech lead, or player-coach.
• Hands-on depth building AI systems and fluency in the data and system architecture that supports them.
• A track record of delivering technology against real business problems, in finance or another data-rich, regulated domain.
• 10+ overall years in software/AI engineering, including time leading teams and owning technical delivery.

Languages