Patlytics is the fastest-growing AI-native patent intelligence platform, transforming how IP is protected and monetized at scale. The Product Manager will own a core surface of the Patlytics platform, collaborating with engineering, design, and legal teams to build features that enhance patent portfolio management and litigation workflows.
Responsibilities:
- Own a core product area: set the strategy, prioritize ruthlessly, and ship outcomes (not output) across modules like drafting, infringement analysis, invalidity research, or portfolio management
- Live with customers: spend real time with patent attorneys and in-house IP counsel through discovery calls, design partnerships, and on-sites. Translate what you hear into product
- Bridge law and AI: translate nuanced patent workflows (Office Action responses, claim charting, SEP analysis, invalidity contentions) into elegant, scalable software
- Prompt Engineering: Design, test, and iterate on complex LLM prompts and AI agents to ensure our models output highly accurate, citation-backed, and legally sound results
- Define and move the metrics: instrument what matters, then drive measurable impact on activation, adoption, retention, and customer outcomes
- Drive product velocity: maintain a rapid shipping cadence without sacrificing the enterprise-grade accuracy, auditability, and security our customers demand
Requirements:
- 7+ years of product management experience with a clear track record of driving impact — you can point to specific outcomes (adoption, revenue, retention, efficiency) that your work moved
- Products you've shipped that you're proud of, and the receipts to prove they drove real customer and business outcomes
- Customer-centric builder at heart. You're not afraid to hop on calls with customers to dig into pain points, iterate alongside them, and personally drive adoption — not delegate it
- Experience building B2B workflow software where users live in the product every day and small frictions compound into big problems
- Extreme ownership, strong judgment under ambiguity, and a bias toward shipping and learning over planning in a vacuum
- Hands-on experience with prompt engineering, evals, or shipping LLM-powered features in production - you stay current with advances in LLMs, retrieval, and agent architectures
- Experience building vertical AI products, especially for technical, regulated, or expert-user domains (legal, healthcare, financial services, etc.)
- Familiarity with IP, patents, or legal tech — not required, but a head start in understanding our users