
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.
🕒 July 29
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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.
• Lead product strategy for SurveyMonkey’s agentic and conversational surface areas. Influencing how intelligent, automated workflows change what it means to run a survey program. • Own the AI/ML platform layer, enabling AI capabilities across the product, in close partnership with LLM infrastructure and data science teams. • Define and execute a multi-phase strategy to make our data corpus a customer-facing competitive advantage, from cross-survey intelligence to industry benchmarks to predictive signals. • Lead a team of PMs focused on AI platform and data products
• Proven track record building an AI/ML platform at scale. Not just shipping AI features, but owning the platform that enables them across a product • Experience shipping agentic products. Understanding of LLM-powered workflows, tool use, and autonomous agent design • Strong data background, working where data was central to the product value proposition, not just an input • Director-level PM leadership experience, ideally in a high-growth or platform-transformation context • Ability to operate as a peer to VP-level engineering and data science leaders • Evidence that your strategy work changed directions
• medical, dental, vision, life, and disability insurance • RRSP matching • flexible spending & health savings account • paid holidays • paid time off • employee assistance program • other company benefits
Apply Now🕒 July 29
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