Senior Platform & Automation PM - AI-Driven, Secure Cloud

Relativity; Michigan; Ibrido; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

Relativity is seeking a Senior Product Manager to lead Automation Services and Infrastructure, overseeing platform capabilities powering RelativityOne. You will align roadmap across automation, security primitives, cloud-native infrastructure, and AI-powered extensibility, balancing customer needs with internal platform demands in a hybrid work environment.

You will partner with engineering and partners, drive adoption, govern data, and ensure reliable, scalable platform solutions, with strong

Competenze

• 7+ years in software product management across multiple lifecycle stages.
• Experience with developer-facing or platform-facing products and APIs.
• Hands-on cloud platform architecture experience (Azure preferred).
• Experience with AI-enabled platform patterns and governance.
• Strong data-driven approach to goals and metrics.
• Excellent communication across technical and non-technical audiences.

Mansioni

• Define product direction and roadmaps for platform capabilities.
• Collaborate with engineering and stakeholders to deliver secure, scalable solutions.
• Lead discovery with developers and ISVs to validate needs.
• Prioritize scope and manage quarterly delivery cadence.
• Drive velocity while maintaining quality and reliability.

Conoscenze

Cloud technology

AI integration

Cross-functional collaboration

Platform APIs

Security primitives

Distributed systems

Data-driven decision making

Strong communication

Descrizione del lavoro

Relativity is seeking a Senior Product Manager to lead Automation Services and Infrastructure, overseeing platform capabilities powering RelativityOne. You will align roadmap across automation, security primitives, cloud-native infrastructure, and AI-powered extensibility, balancing customer needs with internal platform demands in a hybrid work environment.

You will partner with engineering and partners, drive adoption, govern data, and ensure reliable, scalable platform solutions, with strong