SurveyMonkey is looking to leverage AI/ML to enhance its product offerings, specifically in survey design, content generation, and insight discovery, to drive future growth and maintain market competitiveness.
Requirements
- 5+ years of product management experience, with a focus on consumer AI/ML products
- 2+ years delivering NLP and LLMs based product features
- Strong understanding of machine learning concepts and generative AI capabilities; technical degree or experience working closely with AI/ML engineers is a plus.
- Demonstrated ability to bring zero-to-one AI features to market—from ideation through launch and iteration.
- Experience translating customer needs and business goals into detailed product requirements.
- Strong cross-functional collaboration skills, particularly with engineering, data science, and GTM stakeholders.
- Experience working in an agile development environment.
Responsibilities
- Define and own the roadmap for AI/ML initiatives in collaboration with the AI/ML product, engineering, data science, product marketing, and GTM teams.
- Partner closely with our machine learning engineering team (data science and machine learning platform) to build features that enhance survey design, content generation, and insight discovery.
- Translate complex technical concepts into user-centered product experiences that solve real customer problems.
- Work closely with our UX design and research teams to deeply understand our persona across various segments to drive the launch of various ML capabilities
- Collaborate with other product managers to identify opportunities to embed AI/ML into existing and new products using the power of agentic workflows, LLMs, MCPs etc.
- Work with GTM teams to shape positioning, messaging, and enablement strategies for AI-powered features.
- Stay on top of market trends and advancements in AI to proactively identify areas of innovation and differentiation.
Other
- Bachelor's degree in Computer Science, Engineering, Business, or a related field; advanced degree preferred.
- A bias for action, data-driven decision making, and comfort with ambiguity in fast-paced environments.
- Excellent communication and storytelling skills—both for technical and non-technical audiences.
- Ability to coordinate with other product line PMs and cross-functional stakeholders in Machine Learning, Product, Engineering, Design, Growth, Sales and Product Marketing.
- Bring domain expertise in AI and ML, and develop a deep understanding of user problems to identify opportunities where AI/ML can help.
