Product Operations Associate

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

We're hiring a Product Operations Associate to own the operational side of our AI Communication Agents, the systems that communicate with medical providers, law firms, and plaintiffs on our clients' behalf. You'll write and iterate the prompts and logic that power these agents, run the QA and audit cycles that keep their output trustworthy, and work directly with a PM to decide what ships next.

This is a hands-on, individual-contributor role on a small, high-trust team. You'll have real influence on the product and a direct line to both leadership and customers within weeks of starting.

This is a remote role that can be based anywhere in the United States.

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  Partner with the Product Manager and Engineering to shape the Communication Agents roadmap

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  Own the client feedback loop: join customer calls, triage incoming issues, separate one-off complaints from real defects, and close the loop with law firms and Customer Success.

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  Write, iterate, and test agent prompts, scripts, logic, and configurations, shipping improvements with Engineering and Data Science while defining inputs, outputs, and escalation paths.

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  Build and maintain QA rubrics and audit processes, driving fixes through to resolution.

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  Handle reporting and ad hoc leadership requests as they arise.

• 2+ years of experience in Product Operations, AI Operations, or Technical Program Management, having owned a product or operational surface end-to-end.

• Hands-on experience prompting and evaluating LLM systems

• Experience building or running a QA/evaluation process, plus experience working directly with customers to translate their feedback into product changes.

• Ability to hold a high quality bar under pressure in a fast-moving, non-deterministic environment, without needing a playbook handed to you.

• Strong written communication skills.