Product Manager

Sela AI•San Francisco, CA

8h•Hybrid

About The Position

Sela is the market-leading AI voice agent for mortgage lenders. Founded in 2024, the company has experienced rapid growth, serving 5 of the 10 largest independent mortgage banks in the U.S. as enterprise customers. Sela aims to reduce the cost of homeownership in the U.S. by approximately 1% through AI-driven solutions. The company has raised $21M in Seed and Series A funding from prominent investors. The mortgage industry, with its significant labor force in phone sales, is ripe for disruption, and Sela is at the forefront of applying AI to create economic value. By dominating the mortgage vertical, Sela intends to own the consumer relationship and become the essential AI infrastructure for high-consideration consumer sales. Joining Sela offers the opportunity to be part of a high-growth startup with exhilarating market pull, having grown 10x in the past 12 months and over 100x since its seed round, all without a dedicated sales or marketing team. The team is characterized by high agency, a high bar for performance, and a collaborative and intense culture where members improve each other. The company tackles challenging problems, including outperforming human sales teams on a large volume of daily calls, managing low-latency, real-time infrastructure, ensuring 99.9% uptime, and maintaining enterprise-grade privacy and security. Sela owns its entire technology stack, emphasizing quality in its advanced simulation and evaluation systems, flexible A/B testing, AI scheduler, and dialer. The company is well-funded, having raised over $21M, including a $15M Series A in June 2026.

Requirements

2+ years of PM experience, ideally in a fast-paced startup environment.
Strong data and analytical thinking.
Excellent communication skills, able to express complex ideas clearly.

Responsibilities

Improve and optimize the performance of AI voice agents.
Launch new agent use cases.
Utilize evals and simulations systems to ensure excellent performance.
Develop and extend internal systems that automatically assemble and maintain agents.
Use agents to build systems that can build a lot of agents.
Take product responsibility over complex systems such as the internal system for automatically assembling and maintaining large numbers of agents, the call scheduling system, the system for phone number selection, and maximizing outcomes for voicemail.
Conceive and implement complex new use cases such as pulling credit and presenting/recommending different loan products.
Conduct independent data analysis to inform product strategy.