What weβre looking for
SurveyMonkey is reimagining how people gather insights by bringing AI directly into the survey workflow. This role will play a critical part in building the platform and product capabilities that enable these AI-driven experiences. The work you lead will directly influence how millions of users interact with the product and unlock entirely new ways for organizations to collect and act on feedback. In this role, you will report to the Senior Director of Product Management and will partner closely with engineering, AI/ML, design, and data science teams to deliver against this vision.What youβll be working on
- 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.
Weβd love to hear from people with
- 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 0β1 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.
Nice to Have
- 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
