Senior Product Manager: Enterprise Data & AI Platform

CompStak, Inc.

New York, Northern (NY, KY)

Hybrid

USD 140,000 - 185,000

Full time

14 days+
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Job summary

CompStak, the leading commercial real estate data and analytics platform, seeks a Senior Product Manager to own the roadmap for enterprise products, APIs, and data delivery for asset managers, lenders, and investors.

You will partner with Sales and Customer Success to ensure clients derive real value, balance customization with scalable solutions, and drive AI-enabled enrichment and agent workflows with Engineering and Data teams.

Qualifications

  • 5+ years in product, consulting, or customer-embedded work on B2B data or SaaS.
  • Industry experience in commercial real estate, fixed income/finance, or asset management.
  • Have shipped APIs or other data-delivery products, not only in-app features.
  • Familiarity with AI tools and agent-based workflows.
  • Used to a room with Sales, Customer Success, and engineering in it.

Responsibilities

  • Own the roadmap for enterprise products: the platform, APIs, data delivery, and other ways clients take data out of CompStak.
  • Partner with Sales and Customer Success on how institutions actually use the data, not just how they buy it.
  • Balance custom client requests with what we can offer more than once.
  • Lead AI-facing work: agents, automation, and enrichment on top of the same data.
  • Collaborate with engineering and data to scope and ship.
  • Own whether it worked: usage, revenue, whether clients stay.

Skills

Product management
Consulting
Cross-functional collaboration
AI tools familiarity
B2B data / SaaS

Tools

Figma
Replit
Cursor
Claude Code

Job description

CompStak, the leading commercial real estate data and analytics platform, seeks a Senior Product Manager to own the roadmap for enterprise products, APIs, and data delivery for asset managers, lenders, and investors.

You will partner with Sales and Customer Success to ensure clients derive real value, balance customization with scalable solutions, and drive AI-enabled enrichment and agent workflows with Engineering and Data teams.

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