• Own the development of Whatnot's consumer research and trend report program, from concept and methodology through to media-ready packaging and launch • Use AI tooling, platform data, seller behavior, and buyer trends to surface insights that are newsworthy, culturally relevant, and category-defining • Partner closely with data, product, and category teams to identify stories hiding in the numbers and turn them into compelling narrative assets • Build a cadence of trend moments – seasonal, cultural, and category-specific – that keep Whatnot in the media conversation year-round • Build and own a recurring content franchise (blog, newsletter, or similar) that delivers original analysis on categories, seller economics, and the live commerce industry • Shape story angles that are grounded in data and resonate with media and consumers • Identify opportunities to insert Whatnot into broader cultural and industry conversations with data-backed POVs • Develop press materials including pitch angles, backgrounders, and talking points anchored in research and insights • Serve as an on-the-record spokesperson for Whatnot on consumer trends, category stories, and live shopping culture, representing the brand with press, on camera, and at events • Translate platform data and buyer/seller insights into sharp, quotable narratives that position Whatnot as the definitive voice on what's trending and what's next • Build and maintain credibility with journalists as a go-to expert source on consumer behavior, live commerce, and the communities that shop on Whatnot.

• Build and deploy advanced predictive models for lead scoring, agent matching, price and time-on-market estimation, and conversion likelihood. • Develop production-grade RAG and GraphRAG pipelines, construct complex knowledge graphs across listings, agents, and clients, and design retrieval and ranking systems for unstructured data. • Write robust data transforms in Databricks (using SQL and PySpark) and author highly performant SQL queries across ClickHouse and PostgreSQL. • Partner closely with engineering teams to ship model and LLM outputs to production environments, frequently utilizing Inngest. • Analyze MLS data to surface actionable market trends and directly feed data-driven product features. • Design and analyze product experiments utilizing PostHog, and build comprehensive dashboards and analyses within Hex and Metabase. • Act as a strategic partner by translating ambiguous business questions into clear, actionable, and data-backed recommendations.

• Build and deploy advanced predictive models for lead scoring, agent matching, price and time-on-market estimation, and conversion likelihood. • Develop production-grade RAG and GraphRAG pipelines, construct complex knowledge graphs across listings, agents, and clients, and design retrieval and ranking systems for unstructured data. • Write robust data transforms in Databricks (using SQL and PySpark) and author highly performant SQL queries across ClickHouse and PostgreSQL. • Partner closely with engineering teams to ship model and LLM outputs to production environments, frequently utilizing Inngest. • Analyze MLS data to surface actionable market trends and directly feed data-driven product features. • Design and analyze product experiments utilizing PostHog, and build comprehensive dashboards and analyses within Hex and Metabase. • Act as a strategic partner by translating ambiguous business questions into clear, actionable, and data-backed recommendations.

• Build and deploy advanced predictive models for lead scoring, agent matching, price and time-on-market estimation, and conversion likelihood. • Develop production-grade RAG and GraphRAG pipelines, construct complex knowledge graphs across listings, agents, and clients, and design retrieval and ranking systems for unstructured data. • Write robust data transforms in Databricks (using SQL and PySpark) and author highly performant SQL queries across ClickHouse and PostgreSQL. • Partner closely with engineering teams to ship model and LLM outputs to production environments, frequently utilizing Inngest. • Analyze MLS data to surface actionable market trends and directly feed data-driven product features. • Design and analyze product experiments utilizing PostHog, and build comprehensive dashboards and analyses within Hex and Metabase. • Act as a strategic partner by translating ambiguous business questions into clear, actionable, and data-backed recommendations.