Mercury is a fintech company looking to accelerate several of their AI products. They are taking open applications for founders or small technical teams in Product Management and Engineering roles to build the AI products of the future.
Responsibilities:
- Find the problem. Work close enough to customers that you spot what matters before anyone assigns it to you — then decide it's worth building
- Build and automate the workflow end to end using Command, CLI, MCP, and the rest of our AI stack
- Ship to customers fast — quick understanding, tight iteration, deploy
- Measure the impact honestly, then do the next one. Kill what didn't move; double down on what did
- Run as an autonomous team — pick the target, ship the thing, own the outcome
Requirements:
- Have shipped something real - a product, a tool, a company, or an open-source project people actually use
- Be dangerous across the stack: PMs who can prototype, engineers with product taste
- Have strong opinions about AI products and the judgment to recognize fast when one of them is wrong
- Hands experience building AI products with AI, and knowledge about RAG, evals, agent harnesses a plus
- Move fast and measure. Expect most experiments to fail and treat that as the price of finding the ones that don't
- Care about craft where it's impactful and resist polishing what isn't
- Communicate clearly and own outcomes - we want real business impact, customer time/pain saved, and a path to scaling what works