
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.
🕒 September 16
🏄 California, Colorado, +23 more states – Remote
💵 $200.6k - $259.6k / year
⏰ Full Time
🔴 Lead
🚰 Data Engineer
👻 Ghost score 0%
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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.
• Set end-to-end strategy for SurveyMonkey’s AI platform, agentic product experiences, and data corpus • Lead product strategy for agentic and conversational product surface areas • Define how intelligent, automated workflows transform survey programs • Own the AI/ML platform layer enabling AI capabilities across the product • Partner closely with LLM infrastructure and data science teams • Define and execute a multi-phase strategy turning SurveyMonkey’s data corpus into a customer-facing competitive advantage • Develop cross-survey intelligence, industry benchmarks, and predictive signals • Lead a team of product managers focused on AI platform and data products • Partner with Engineering and Data Science leadership • Collaborate closely with the CPO
• Proven track record building an AI/ML platform at scale • Experience shipping agentic products • Understanding of LLM-powered workflows, tool use, and autonomous agent design • Strong data background where data was central to the product value proposition • Director-level product management leadership experience • Ability to operate as a peer to VP-level engineering and data science leaders • Evidence that strategy work changed directions • Must reside in one of the listed states: California, Colorado, Florida, Georgia, Illinois, Kansas, Maine, Massachusetts, Maryland, Michigan, Minnesota, Mississippi, Montana, South Carolina, North Carolina, New Jersey, New York, Ohio, Oregon, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin • Must be legally authorized to work in the United States • Must not require employment visa sponsorship, or must disclose future sponsorship requirements
• Medical, dental, vision, life, and disability insurance • 401(k) retirement plan • Flexible spending account • Health savings account • Paid holidays • Paid time off • Employee assistance program • Flexible, hybrid work environment • Company events • CHOICE Fund programs • Professional growth opportunities • In-person participation at company events • Bonuses and commissions may be offered as part of total compensation
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