Employer description & source details
Get close to customers, GTM teams, Support, and internal users to understand where Apollo’s data has gaps and accuracy or usability issues Set product strategy for an always-on motion for upleveling our native data catalog with new data sources Set product strategy for how Apollo’s data shows up across the product and in customer systems: enrichment, search and filters, scoring, and the taxonomy and data structure that make the catalog usable at every surface Prototype quickly using tools like Claude Code, Cursor, Lovable, Figma AI, and other AI-native workflows to validate ideas before scaling investment Turn complex data pipelines into simple, trustworthy customer experiences across coverage, accuracy, freshness, confidence scoring, enrichment waterfalls, and data provenance Lead build vs. buy vs. partner decisions for data sources, evaluating vendors on coverage, accuracy, freshness, cost, and compliance, and owning the business case for each Engineering on architecture, reliability, observability, APIs, data models, and edge cases while staying anchored in customer and business outcomes Design to make data trust visible: where a record came from, how fresh and confident it is, and what a customer can do when it is wrong GTM, Support, and Customer Success to optimize head-to-head data quality evaluations and learn from customer data experiences Define the KPI tree and learning loop for the product area, then use it to prioritize, measure, and iterate Raise the bar for product clarity by writing crisp strategy docs, PRDs, launch plans, and tradeoff memos that make the next best action obvious 7+ years of product management experience, including ownership of complex data-centric product areas from strategy through launch AI-native builder. You use tools like Claude Cod
Extracted skills: go, figma, sales, customer success, product management