
Lead Compliance Risk Manager, Product Compliance - AI
About this role
Based in San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States, this full-time role is for a Lead Compliance Risk Manager to serve as the primary compliance advisor for AI and agentic products at Mercury. This position suits an experienced compliance professional with a background in regulated financial services who wants to lead AI governance and risk strategy.
Role Overview
Mercury is seeking a Lead Compliance Risk Manager to act as the compliance advisor for its artificial intelligence products. This is a newly created, high-visibility position and the first dedicated compliance advisory seat covering AI within the organization. The individual will serve as the primary authority on AI product compliance risk, shaping how the company builds, governs, and explains its systems to regulators and partners.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Mercury operates in a rapid growth trajectory within the financial and banking technology sector, focusing on innovative product development and robust regulatory navigation.
How to Apply
Interested candidates should submit their application directly on the official Mercury careers page.
Skills and tech stack
Questions candidates ask
Where is this job located?
The role can be based in San Francisco, CA, New York, NY, Portland, OR, or remotely within Canada or the United States.
What is the salary range for this position?
The salary range is between $207,800 and $259,800 USD.
How many years of experience are required?
Candidates must have 8 or more years of experience in a compliance advisory, product compliance, or regulatory risk role.
Is this a new role at the company?
Yes, this is a newly created, high-visibility position and the first dedicated compliance advisory seat covering AI at Mercury.
What specific AI technologies and products will this role advise on?
The role covers AI and agentic products including Command, APIs, and agentic access methods such as MCP and CLI.