Product Manager - AI Platform & Integrations
Role details
Job location
Tech stack
Job description
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.
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, 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.
- Assist in maintaining context-aware AI behavior that incorporates client-specific knowledge, playbooks, and contract repositories.
Enterprise Platform & Integrations
- Contribute to the roadmap for Eudia's enterprise platform, supporting Fortune 500 deployments.
- Help design and document APIs, SDKs, and integration patterns for CLM systems, DMS, CRM, and SSO providers.
- Champion a strong developer experience by working with engineering to improve documentation, onboarding flows, and tooling.
- Collaborate with DevOps, security, and client IT teams to support compliance requirements such as SOC 2, GDPR, and RBAC.
- Work cross-functionally with customer success and GTM teams to ensure platform capabilities meet real enterprise operational needs.
Requirements
Product Management Experience
- ~5 years of product management experience, with exposure to technical or platform-level products.
- Experience taking features or products end-to-end - from discovery and scoping through launch and iteration.
- Exposure to APIs, developer tools, or infrastructure-adjacent products is a plus.
AI / ML Familiarity
- Working knowledge of machine learning concepts and modern AI techniques.
- Some hands-on experience with LLM-powered products or ML-driven features; familiarity with prompt design, embeddings, or evaluation workflows is a plus.
- Comfortable collaborating with ML engineers and asking the right questions to inform technical decisions.
Enterprise & Domain Knowledge
- Experience with B2B software products or platforms.
- Appreciation for security, data privacy, and compliance-conscious product design.
- Exposure to legal tech, contract management, or regulated industries is a bonus, but not required.
Execution & Communication
- Ability to break down ambiguous problems into structured plans and clear requirements.
- Strong written and verbal communication skills, comfortable talking to engineers, designers, and business stakeholders alike.
- Organized and detail-oriented, with the ability to manage multiple workstreams simultaneously.
Ownership & Drive
- Proactive and self-motivated; you don't wait to be told what to do next.
- High standards for quality and a genuine care for user impact.
- Energized by the pace and responsibility of a fast-growing startup.
- Passion for building AI systems that solve real-world problems responsibly.