AI Deployment Strategist

Mannelly Recruitment•New York City, NY

3d•Onsite

About The Position

A fast-growing B2B fintech startup building AI-powered software development tools for the financial services industry is hiring an AI Deployment Strategist to own customer deployments from kickoff through go-live. The role leads discovery, workflow mapping, configuration, go-live, and adoption, and serves as a trusted advisor to stakeholders ranging from frontline operators to executive sponsors. The strategist translates customer feedback into roadmap decisions in collaboration with engineering and product teams, troubleshoots product issues in the field, documents edge cases, and drives resolution with engineering. The role also involves developing the technical fluency to become the go-to expert for enterprise finance customers. This is a high-ownership, client-facing position based in New York City, where three to four days in the office are preferred, or San Francisco, where five days in the office are expected. Compensation is a competitive salary based on experience plus equity of up to 0.075 percent. Visa sponsorship and relocation assistance are not available.

Requirements

At least 2 years of management consulting experience at a top firm (MBB or Big Four).
Experience owning customer-facing projects or implementations end to end.
Strong analytical skills, assessed through an Excel-based case study.
Excellent client-facing presence and presentation skills, including experience managing executive relationships.
Ability to work independently in fast-paced, ambiguous environments.
Genuine interest in and familiarity with modern AI tools such as Claude.
Stable work history; multiple roles lasting under one year will not be considered.
Must be authorized to work in the U.S.

Nice To Haves

Background in financial services, fintech, or enterprise finance operations.
Strategy or operations experience at a technology company.
MBA for senior candidates with 4 or more years of experience.

Responsibilities

Own customer deployments from kickoff through go-live.
Lead customer discovery, workflow mapping, configuration, go-live, and adoption.
Advise customer stakeholders, from frontline operators to executive sponsors.
Translate customer feedback into roadmap decisions with engineering and product teams.
Troubleshoot product issues in the field, document edge cases, and drive resolution with engineering.
Develop technical fluency to become the go-to expert for enterprise finance customers.