Senior Platform & Automation PM — AI-Driven Cloud Foundation

Relativity

Missouri

Hybrid

USD 140,000 - 210,000

Full time

14 days+
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Job summary

Relativity is seeking a Senior Product Manager to lead automation services and infrastructure for RelativityOne, spanning cloud-native infrastructure, AI-powered extensibility, and governance. You will own platform capabilities, drive adoption, and work with engineering, security, and product teams.

The role emphasizes platform-first thinking, structured discovery, and data-driven decision-making to deliver scalable, trusted data intelligence solutions.

Qualifications

  • 7+ years in software product management across multiple lifecycle stages.
  • Ability to define scope under uncertainty and prioritize.
  • Experience with developer-facing or platform-facing products with measurable adoption.
  • Hands-on with cloud architecture (Azure preferred) and distributed systems.
  • Experience in AI-powered SDLC environments with agentic tooling.
  • Data-driven with metrics for product health and adoption.
  • Strong communication across technical and non-technical audiences.

Responsibilities

  • Own roadmap and backlog sequencing by impact and dependencies.
  • Define done criteria and track progress for incubation to adoption.
  • Conduct structured discovery with engineers and ISVs.
  • Make scope decisions balancing short-term and future bets.
  • Drive velocity while maintaining quality and reliability.
  • Apply appropriate PM model for current stage (discovery vs adoption).

Skills

Product management
Ambiguity management
Data-driven decisions
AI-enabled SDLC
Communication

Tools

Azure
APIs
SDKs
Cloud infrastructure

Job description

Relativity is seeking a Senior Product Manager to lead automation services and infrastructure for RelativityOne, spanning cloud-native infrastructure, AI-powered extensibility, and governance. You will own platform capabilities, drive adoption, and work with engineering, security, and product teams.

The role emphasizes platform-first thinking, structured discovery, and data-driven decision-making to deliver scalable, trusted data intelligence solutions.

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