Senior Product Manager - AI and ML Platform

SurveyMonkey is the world’s most popular platform for surveys and forms, built for business and loved by users. This role will play a critical part in building the platform and product capabilities that enable AI-driven experiences, influencing how millions of users interact with the product.

Responsibilities:

• Partner with product leadership to define AI and agentic capabilities that power the product
• Own the roadmap for the key components of the AI platform, including orchestration layers, tool/action frameworks, context management, and evaluation pipelines
• Partner closely with AI/ML, platform engineering, design, and data science teams to ship scalable capabilities that integrate LLMs, internal APIs, and product workflows
• Establish evaluation frameworks and success metrics for AI and agentic capabilities
• Define guardrails, reliability standards, and safe execution mechanisms to ensure AI operates predictably and securely within the SurveyMonkey ecosystem
• Drive cross-functional alignment across engineering, design, data, GTM, and leadership to launch greenfield AI capabilities at scale

Requirements:

• 5+ years of product management experience building and launching SaaS products
• 2+ years of experience launching AI-powered products involving generative AI and conversational interfaces
• 3+ years defining ML platform capabilities, including model development, integration, evaluation pipelines, data feedback loops, and platform APIs
• Strong understanding of AI frameworks and architectures with deep knowledge of evals, and context management (technical fluence around these components is expected)
• Experience writing lightweight code to prototype AI capabilities
• Demonstrated experience building 0→1 products or greenfield capabilities, navigating ambiguity and driving initiatives from concept to launch
• Experience defining clear product metrics and success frameworks, including adoption, engagement, task success, model quality, and business impact
• Ability to work deeply with engineering and ML teams, translating technical constraints into product decisions and vice versa
• Product management experience working across both consumer and enterprise SaaS products
• Past experience with product development leveraging Open AI for enterprise and AWS technologies like AWS Bedrock and SageMaker
• Curiosity and enthusiasm for staying on top of rapidly evolving AI technologies, tools, and frameworks