
1001 - 5000 employees
☁️ SaaS
🤝 B2B
SaaS • B2B
SurveyMonkey is an online survey and forms platform that lets organizations and individuals build, send, and analyze surveys to collect feedback and insights. The platform offers 500+ templates, AI-assisted survey creation, a global audience panel of 335M+ respondents, analytics and integrations, and enterprise-grade features for secure, large-scale survey programs. It’s used across customer experience, employee feedback, market research, event registration, and more; the company markets itself as a continuous insights/SaaS platform serving 260K+ organizations worldwide.
🔥 15 hours ago
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1001 - 5000 employees
☁️ SaaS
🤝 B2B
SaaS • B2B
SurveyMonkey is an online survey and forms platform that lets organizations and individuals build, send, and analyze surveys to collect feedback and insights. The platform offers 500+ templates, AI-assisted survey creation, a global audience panel of 335M+ respondents, analytics and integrations, and enterprise-grade features for secure, large-scale survey programs. It’s used across customer experience, employee feedback, market research, event registration, and more; the company markets itself as a continuous insights/SaaS platform serving 260K+ organizations worldwide.
• Own the roadmap for data-powered product features including benchmarks, longitudinal insights, cross-survey intelligence, and more • Identify where our data corpus creates customer value worth paying for and where it doesn’t • Work closely with AI/ML engineering and data science to scope and ship • Build the measurement framework to understand what drives retention and expansion • Help define and execute SurveyMonkey’s long-term data moat strategy
• 5+ years in product management, with significant experience on data-intensive or AI-powered products • Sharp instincts for what customers actually want from data vs. what sounds good in a pitch • Experience in ambiguous, foundational spaces and ability to help craft the roadmap • Strong collaboration skills with data science and ML partners • SaaS background where data was core to the product value proposition
• medical, dental, vision, life, and disability insurance • 401(k) retirement plan • flexible spending & health savings account • paid holidays • paid time off • employee assistance program • other company benefits
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