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Senior Product Manager - Data Products

SurveyMonkey

hybridseniorpermanentproduct-management United States Today via LinkedIn
147,900 - 208,800 USD/annual

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Tags

Product ManagementData ProductsAI-Powered ProductsData Science PartnershipsRoadmap OwnershipMeasurement FrameworkRetention and ExpansionData Moat StrategySaaSBenchmarks

About the role

Role overview

Senior Product Manager – Data Products at SurveyMonkey. You’ll own the roadmap and define what product features to build using SurveyMonkey’s large feedback dataset and corpus-powered intelligence, partnering closely with AI/ML and data science teams.

What you’ll be working on

  • Own the product roadmap for data-powered features such as:
    • benchmarks
    • longitudinal insights
    • cross-survey intelligence
    • and more
  • Identify where the data corpus creates customer value worth paying for (and where it doesn’t)
  • Partner with AI/ML engineering and data science to scope and ship
  • Build a measurement framework to understand what drives retention and expansion
  • Help define and execute a long-term data moat strategy

Requirements

  • 5+ years in product management
  • Significant experience with data-intensive or AI-powered products
  • Strong instincts for customer value and differentiation between what customers need vs. what sounds good in pitches
  • Experience operating in ambiguous, foundational problem spaces to craft the roadmap
  • Collaboration skills with data science and ML partners
  • SaaS background where data is central to product value

Compensation (base pay)

  • $147,900 – $208,800 per year depending on geographic market and qualifications
  • Benefits include medical/dental/vision/life/disability, 401(k), flexible spending/health savings accounts, paid holidays and time off, and other programs

Work location / remote policy

  • Role is remote, but may require in-person participation for company events at designated offices.

About SurveyMonkey

SurveyMonkey is a SaaS platform for creating surveys and forms used by organizations worldwide. It combines survey design with built-in research capabilities and AI-powered technology to help teams gather feedback and turn insights into better decisions.

Scraped 7/29/2026