• Own the how, not just the what: apply strong product sense to set direction, shape standards, and elevate execution. • Build and maintain Jane's customer data infrastructure end-to-end. • Work directly with marketing, paid media, analytics, marketing operations, BI, and product as primary stakeholders. • Drive tooling strategy for Jane's collection layer. • Establish instrumentation standards within engineering, product, and marketing. • Take ownership of identity resolution and attribution at the collection layer. • Navigate the realities of consent-gated instrumentation.

• Coach and mentor a caseload of learners through 1:1 sessions and workshops • Teach practical data engineering concepts in a way that’s clear, relevant, and grounded in real‑world experience • Help learners design and build reliable, scalable, secure data solutions - not just working code • Guide learners through assessments and portfolios with high standards and supportive feedback • Model strong professional judgement around performance, cost, security, privacy, and ethics

• Help evaluate and implement emerging batch and streaming data engineering technologies • Drive innovation and support the adoption of modern data solutions • Collaborate with data scientists, architects, developers, and business partners • Build, deploy, and optimize scalable data pipelines and automation processes that enable advanced analytics and business insights.

• 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