Lead Technical Product Manager – AI Assistant & Workflow
Listed on 2026-01-25
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IT/Tech
Product Designer, AI Engineer, Technical Writer
Lead Technical Product Manager – AI Assistant & Workflow Experience
Lead Technical Product Manager – AI Assistant & Workflow Experience
About EudiaEudia 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, Service Now, DHL, Bayer, Duracell, Dolby, Indeed, OpenAI, the U.S. Air Force, Best Buy, Asana, Dropbox, Linked In, Citi, Etsy, Novelis, Pure Storage, Del Monte, Cox, Pet Smart, Udemy, and many more across regulated and high‑stakes industries.
Backed by General Catalyst, Floodgate, Sierra Ventures, and leading individual investors, Eudia is building deeply technical AI platforms for risk‑sensitive environments where accuracy, security, and trust are non‑negotiable.
About the RoleWe are looking for a Lead Product Manager, Application Experience & Workflows to own the end‑to‑end user experience of Eudia’s core application. This senior 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.
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
- Conversational Experience & Workflow Design
Design intuitive, enterprise‑ready workflows where lawyers can ask complex questions and engage naturally with Eudia’s Company Brain, reflecting how legal teams actually search, read, decide, and review. - Trust, Accuracy & Explainability
Own how responses are presented, including structured summaries, citations, and edge‑case handling. Design for traceability, uncertainty indicators, and user confidence in high‑stakes environments. - Search, Retrieval & Knowledge Access
Shape how users query across documents, datasets, prior work, and external sources. Define seamless navigation from structured answers back to source materials. - User‑AI Collaboration & Feedback Loops
Decide when and how AI should assist, guide, or step back. Drive the design of feedback flows, editability, and human‑in‑the‑loop phases that improve system performance 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.
- 7+ years of product management experience
, with ownership of complex, user‑facing enterprise application suites. - Must have experience building AI products in startup environments
, including 0→1 product development and early‑stage scaling. - Proven ability to take products from concept to launch, rapid iteration, and customer adoption.
- Strong background in workflow design, usability, and B2B/enterprise UX.
- Experience in regulated or risk‑sensitive domains (legal, finance, healthcare) is a strong plus.
- Technical fluency to collaborate deeply with engineering and AI teams and translate capabilities into product requirements.
- Excellent customer empathy, communication, and cross‑functional leadership skills.
- Strong sense of ownership, accountability, and…
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