Product Manager - AI Orchestration & Agentic Workflows

Even Up 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. Even Up is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, Signal Fire, 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

Even Up is revolutionizing personal injury law with AI that doesn’t just assist—it acts. We’re moving beyond chatbots and copilots into agentic workflows that autonomously orchestrate legal work, make intelligent decisions, and surface next-best actions that drive real case outcomes.

We’re looking for a product manager (level to be decided after the interview) who will build the brain of our AI system: the orchestration layer that powers everything from intelligent playbooks to self-executing workflows to continuous learning systems.

This isn’t about managing features. It’s about architecting how AI agents work together to transform how law firms operate—and defining what “agentic workflow” means for legal AI.

You’ll be the hands‑on builder for our AI orchestration products & platforms below — the connective tissue that makes our AI tools intelligent, proactive, and increasingly autonomous:

Define, extract, and act on what matters. Build the system that lets firms teach our AI what to look for, then automatically run that intelligence across every case, every document—eliminating repetitive review and ensuring nothing falls through the cracks.

Rules that think. Create workflows that don’t just follow instructions—they analyze case data, make decisions about when to act, and automatically route cases toward faster resolution and higher settlements. Turn institutional knowledge into executable logic that survives turnover and scales with volume.

Make AI know each case. Build knowledge graphs, context injection systems, and dynamic prompting that give our AI deep understanding of case history, firm preferences, and legal nuances—so every AI action is informed, personalized, and trustworthy.

Agents need accountability. Own the eval framework, prompt iteration systems, and quality feedback loops that make our AI not just powerful, but reliable and continuously improving.

• 4-8+ years in product management ideally with AI/ML products, workflow automation, or B2B SaaS
• Deep curiosity about agentic systems – you’re already thinking about multi‑agent architectures, tool‑use, chain‑of‑thought, and how AI systems make decisions
• Ruthless prioritization – you know how to ship fast, iterate faster, and make hard trade‑offs in resource‑constrained environments
• Technical fluency – you can work directly with AI engineers, debate prompt engineering strategies, understand eval metrics, and dive into system architecture
• Startup DNA – scrappy, adaptable, comfortable with ambiguity, energized (not exhausted) by rapid change

• Experience building workflow automation, orchestration platforms, or developer tools
• Prior exposure to LLMs, prompt engineering, RAG systems, or agent frameworks
• Track record of 0→1 product development in fast‑moving environments
• Obsessed with staying on the bleeding edge – you’re reading papers, testing new models, experimenting with agent frameworks
• Legal tech or document‑heavy domain experience is a bonus (but not required)

• Ownership mindset – you don’t wait for direction; you see what needs to happen and make it happen
• Builder mentality – you love getting your hands dirty, writing specs, mocking up flows, and prototyping solutions
• Intellectual humility – agentic AI is…