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Rockstar in San Francisco is seeking a product-minded professional to direct AI agents and own the voice agent projects for major mortgage lenders. You will work with Cursor and Claude Code to stand up and extend agents, learning quickly on real calls.
You’ll also shape agent behavior by understanding loan officers’ daily tasks, testing changes via simulations, and delivering end-to-end agent solutions with a fast-paced, high-agency culture.
Rockstar is recruiting for an AI voice agent company that is the market leader for mortgage lenders. Founded in 2024, they've grown like crazy (~$0 → $13M in 20 months), and currently count 5 of the 10 largest independent mortgage banks in the U.S. as enterprise customers. They raised $21M across their Seed and Series A from top investors.
Location: San Francisco, CA (Hybrid)
Employment Type: Full time
Department: Product
Compensation: $110K - $150K
Around 1% of the U.S. labor force works in phone sales, representing roughly $100B of annual salary, and the industry is poised at the brink of complete disruption. The company is at the cutting edge of this economic transformation, one of the first companies creating real, durable economic value through applied AI.
Buying a house is the largest financial decision most people make, and homeownership is tied to many other purchases, including life insurance, homeowners insurance, alarm systems, home renovations, solar panels, and more. By owning the mortgage vertical, the company will own the relationship with the consumer, allowing them to serve as the essential AI infrastructure for high consideration consumer sales.
You will spend your days directing AI agents to build AI agents. Almost all of your work happens through Cursor and Claude Code — standing up new voice agents, reworking existing ones, and extending the internal systems that assemble and maintain the whole fleet. Nobody arrives knowing how to do this well. You'll learn it here, fast.
The other half is customers. You'll own the voice agents for some of the largest mortgage lenders in the country — talking to them directly, learning what their loan officers actually do all day, and turning that into an agent that performs. Every change gets verified through evaluations and simulations before going live on real calls.
You'll start on changes to existing agents and be building new ones end to end within a few months. From there you grow into the hardest use cases — pulling credit, recommending loan products — first alongside Product Managers, then running them yourself.