Product Manager - AI Platform

Product Manager – AI Platform & Integrations

About Eudia

Eudia is a high-growth AI startup on a mission to transform legal work through Augmented Intelligence- pairing advanced AI with human expertise to supercharge legal teams. Our platform helps Fortune 500 corporate legal departments move faster, manage risk, and transform the legal function from a cost center into a strategic advantage.

Eudia is trusted by some of the world's most demanding organizations, including Cargill, DHL, Bayer, Duracell, Dolby, Indeed, OpenAI, the U.S. Air Force, Best Buy, Asana, Dropbox, LinkedIn, GE Vernova, Citi, Etsy, Novelis, Pure Storage, Del Monte, Cox, PetSmart, Udemy, and many more across regulated and high-stakes industries.

Backed by General Catalyst, Floodgate, and Sierra Ventures, and leading individual investors including Gokul Rajaram and Prof. Chris Ré (Stanford), Eudia is building deeply technical AI platforms for risk-sensitive environments where accuracy, security, and trust are non-negotiable.

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About the Role

We are looking for a Product Manager to help drive the evolution of Eudia's AI platform, enterprise integrations, and developer-facing products. This is a hands-on, high-ownership role for a PM who is eager to go deep on AI-powered products and enterprise infrastructure in a fast-moving startup environment.

You will work closely with ML engineers, legal experts, designers, and go-to-market teams to ship AI capabilities that are trusted, explainable, and production-ready. You'll be supported by senior product leadership while taking genuine ownership of key product areas from day one.

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What You'll Work On

• AI quality and evaluation frameworks for LLM-powered legal workflows

• Enterprise APIs, SDKs, and third-party integrations

• Eudia's conversational AI assistant - its behavior, guardrails, and user experience

• Platform scalability, security, and deployment across enterprise environments

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Key Responsibilities

AI Quality & Conversational Intelligence

• Contribute to Eudia's AI quality strategy, including model evaluation, document understanding, and conversational behavior.

• Help define evaluation criteria for LLM components by translating legal and business requirements into measurable metrics and acceptance criteria.

• Partner with ML engineers on features related to retrieval augmentation, document grounding, and citation accuracy.

• Support the development of safety guardrails, human-in-the-loop mechanisms, and fallback flows to ensure AI outputs remain reliable and professional.<