Product Manager, EvenUp

• 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
• 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 evolving fast; you're comfortable saying "I don't know yet" and figuring it out
• User empathy – you talk to customers constantly, understand their workflows deeply, and design with their pain points front of mind
• Execution velocity – you ship weekly, learn continuously, and move faster than the competition

Desirable

• 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 one of our key AI orchestration products & platforms below — the connective tissue that makes our AI tools intelligent, proactive, and increasingly autonomous:
• AI Playbooks:
• 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
• AI Smart Workflows:
• 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
• Context Systems:
• 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
• Evaluation & Quality Control:
• 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
• The opportunity:
• You'll set the vision, define the strategy, and own the roadmap as we evolve from today's smart tools into tomorrow's autonomous agents in personal injury
• This is the ground floor of agentic AI in legal tech. The problems are unsolved. The patterns are emerging. The playbook is being written. By you