About the Role
Join an internal AI team at a fast-growing financial technology company to shape how people and AI agents work together. You will build and launch systems that automate complex workflows and support teams as the company scales.
What You'll Do
Build and ship internal AI agents that can contribute code, maintain company knowledge, and complete end-to-end workflows.
Own context architecture by defining sources of truth and keeping documentation aligned with current processes.
Design integrations and Model Context Protocol (MCP) tools that give agents access to internal systems.
Create evaluation suites, monitor agent behavior, and improve performance through iteration.
Develop infrastructure, interfaces, and operating models for effective human-agent collaboration.
Identify and prioritize AI initiatives with meaningful long-term impact across the business.
What We're Looking For
Five to fifteen years of experience building B2B software as a product manager, engineer, or founder.
Experience in technical product management and a record of launching B2B SaaS or AI products, ideally in a fast-paced startup environment.
Professional software engineering experience or production code shipped, with strong coding ability or substantial experience building with AI coding tools.
Familiarity with coding agents, agent infrastructure, MCP, and software development lifecycle automation.
Experience working closely with engineering teams on technically complex products such as AI agents or data platforms.
A STEM degree and a track record of taking ownership, making sound product decisions, and building in early-stage environments.
Compensation & Benefits
Base salary: $175,000 to $275,000 USD annually. Visa sponsorship is available.
Location
On-site in New York, New York, United States.