Group Product Manager, AI Legal Tech (Hybrid/Remote)

Relativity

Chicago (IL)

Hybrid

USD 163,000 - 245,000

Full time

14 days+

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Job summary

Relativity in Chicago is seeking a Group Product Manager to own claiR, Relativity's new conversational AI experience for lawyers. You will lead the product vision, coach the PM team, and partner with design, engineering, and GTM to deliver a cohesive roadmap.

You'll drive end-to-end product strategy for enterprise customers, balancing technical ambition with market needs, and travel to customer sites as needed. Strong leadership and AI product experience are essential.

Qualifications

  • 6+ years of software product management experience.
  • End-to-end ownership of product architecture and roadmaps.
  • Strong customer-facing skills and enterprise focus.
  • Willingness to travel for customer engagements.

Responsibilities

  • Own claiR's product vision across capabilities, canvases, data and context management, and collaboration.
  • Develop a repeatable story of success and enable GTM teams to articulate it.
  • Lead and coach the claiR PM team, setting priorities and managing dependencies.
  • Translate product vision into shippable roadmap decisions with design and engineering.
  • Lead hands-on product work for near-term capabilities focused on skills extensibility.
  • Drive strategic planning with other product and engineering teams.
  • Serve as product lead for a set of customers, incorporating feedback into roadmap decisions.
  • Collaborate with GTM on messaging and pricing strategy for new capabilities; travel to customer sites.

Skills

Team leadership
AI/LLM products
Roadmap planning
Cross-functional collaboration
Customer-facing

Job description

Relativity in Chicago is seeking a Group Product Manager to own claiR, Relativity's new conversational AI experience for lawyers. You will lead the product vision, coach the PM team, and partner with design, engineering, and GTM to deliver a cohesive roadmap.

You'll drive end-to-end product strategy for enterprise customers, balancing technical ambition with market needs, and travel to customer sites as needed. Strong leadership and AI product experience are essential.

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