Product Manager
Technologies
AI · workflow design · enterprise UX · search · retrieval · Company Brain · feedback loops · human-in-the-loop
About Eudia
AI-augmented intelligence platform for Fortune 500 in-house legal teams, reducing cycle time and risk while unlocking strategic business value.
Series A · 100–200 people
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Deployment strategy · Evidence for this classification:
deeply technical AI platforms for risk-sensitive environments where accuracy, security, and trust are non-negotiable. We believe the future of legal work lies in AI augmenting human expertise, not replacing it, and we are assembling a world-class team to make that future a reality. About the Role We are looking for a Product Manager to own the end-to-end user experience of Eudia’s core application. This role defines how corporate legal teams interact with AI across workflows such as contract review, diligence, compliance analysis, and advisory research. You will translate powerful AI capabilities into intuitive, trustworthy, and scalable application experiences that align with how legal professionals work. This is a senior role with full ownership of application-layer strategy, workflow design, and enterprise adoption, working closely with AI, platform, design, engineering, and
More from the job description
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, ServiceNow, DHL, Bayer, Duracell, Dolby, Indeed, OpenAI, the U.S. Air Force, Best Buy, Asana, Dropbox, LinkedIn, Citi, Etsy, Novelis, Pure Storage, Del Monte, Cox, PetSmart, Udemy, and many more across regulated and high-stakes industries. Backed by General Catalyst (Hemant Taneja, Marc Bhargava), Floodgate (Mike Maples), Sierra Ventures (Tim Guleri), 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. We believe the future of legal work lies in AI augmenting human expertise, not replacing it, and we are assembling a world-class team to make that future a reality. About the Role We are looking for a Product Manager to own the end-to-end user experience of Eudia’s core application. This role defines how corporate legal teams interact with AI across workflows such as contract [... source excerpt omitted ...] ork. This is a senior role with full ownership of application-layer strategy, workflow design, and enterprise adoption, working closely with AI, platform, design, engineering, and customer teams. What You’ll Own End-to-end product strategy and application experience for Eudia’s core legal workflows Workflow design across review, diligence, compliance, and research use cases Trust, explainability, and user confidence at the application layer User-centric integration of AI into everyday legal work Application readiness for enterprise deployment and adoption Key Responsibilities Conversational Experience & Workflow Design Design intuitive, enterprise-ready workflows where la [... source excerpt omitted ...] formance over time. Enterprise Deployment & Adoption Support secure rollout across departments with features like permissions, audit trails, and deployment controls. Partner with customer enablement teams to drive usage, trust, and value realization. Strategy, Metrics & Delivery Translate vision into a focused product roadmap. Define KPIs related to adoption, satisfaction, task accuracy, and trust. Drive execution from concept to scaled usage in complex legal environments. Requirements 7+ years of product management experience, with ownership of complex, user-facing enterprise application suite. Must have experience building AI products in startup environments, including 0→1
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