Sr. Product Manager, Platform

Skills
Computer ScienceSoftware As A ServiceAdoptionAnalyticsContextProduct LeadershipProduct Requirements
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor’s degree in Computer Science Engineering Business Data Science or a related technical or quantitative field or equivalent experience
  • 8+ years of product management experience ideally with platform data analytics identity infrastructure or developer-facing products
  • Experience translating customer user and stakeholder needs into clear product requirements use cases acceptance criteria and prioritized backlog items
  • Working knowledge of SaaS platforms and ability to partner credibly with engineering on scalability reliability access data flows and technical tradeoffs
  • Experience defining interpreting and using usage adoption engagement or performance metrics to guide product decisions
  • Strong cross-functional collaboration skills across product engineering design data research and go-to-market teams
  • Clear structured written and verbal communication for technical and non-technical audiences
  • Experience with AI-enabled products agentic workflows research platforms information services data products or analytics platforms preferred
  • High ownership sound judgment and comfort operating in ambiguity while balancing customer value technical constraints and business priorities

Nice to have

  • High ownership
  • Sound judgment
  • Comfort with ambiguity
  • Cross-functional collaborator
  • Structured communicator

Day to day

  • Own product discovery and definition for core platform capabilities that support scalability reliability secure access usage visibility agentic workflows and long-term growth
  • Translate user customer partner and internal stakeholder needs into clear platform use cases product requirements and acceptance criteria
  • Partner closely with technical product management engineering design data research and go-to-market teams to prioritize improvements align quarterly backlog sequencing and communicate roadmap tradeoffs and post-launch outcomes