CompStak-posted 3 months ago
Full-time • Senior
New York, NY
101-250 employees
Real Estate

CompStak envisions a commercial real estate industry in which accurate and transparent data leads to better, faster deals for everyone. We gather critical information that is hard to access, then make it instantly and seamlessly available to our platform members. We're looking for a Senior Product Manager with industry knowledge in commercial real estate, fixed income/finance, or asset management to lead CompStak's enterprise products. Our institutional clients - asset managers, lenders and investors - rely on CompStak for mission-critical data and analytics. This role is designed for someone who combines domain fluency with modern product management practices to deliver scalable, differentiated data and workflow solutions.

  • Define and drive the roadmap for enterprise-facing products (platform, APIs, data delivery)
  • Partner with sales, client success, and Strategic Advisory to understand institutional workflows
  • Balance bespoke client requirements with scalable product offerings.
  • Lead initiatives around AI-driven experiences: workflow automation, enrichment, and agents
  • Collaborate with engineering/data teams to scope and deliver large-scale solutions
  • Own measurement of product success: adoption, revenue impact, client satisfaction
  • 5-7 years of product management experience in B2B SaaS/data products
  • Industry experience in commercial real estate, fixed income/finance, or asset management
  • Deep understanding of data driven products
  • Deep understanding of APIs, various data delivery methods, and platform UX
  • Familiarity and passion for AI tools and agentic workflows
  • Track record of scaling products
  • Proven ability to manage complex stakeholder environments
  • Prototyping skills to accelerate iteration (Figma, Replit, Cursor, etc.)
  • Coding background or technical fluency to partner closely with engineering
  • Track record of working in a forward deployed environment
  • Startup experience: comfort with ambiguity and rapid execution
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