Product Manager, Data

**Title**: Product Manager, Data **Salary**: $120,000 – $150,000 **Remote (US) East\-Coast Hours** **About Castellum.AI** Castellum.AI is an AI layer for compliance infrastructure. We provide intelligence data, AI\-driven screening across Sanctions, PEPs, and Adverse Media, and AI Agents to resolve alerts. Our customers have seen results like reducing their false positive rate by 94% via our screening engine and reducing the amount of time analysts spend on alerts by 80% by using our AI Agents. Our customers include a Top Four US Bank, a Top Three Global Payments Company and a Top Five Digital Asset Company, and we're scaling to meet demand. **What you’ll own** You'll own the product execution for our core product: our data platform and pipelines. This covers our sanctions lists, watchlists, PEP data, and regulatory sources that feed everything else we sell, and the ingestion pipeline behind them. * The list source roadmap. Which lists, watchlists, PEP sources, and regulatory feeds we add next, in what order, and why. * The definition of data quality. You set the targets for coverage, accuracy, deduplication, and freshness. Engineering builds to them, and you hold the line on them. * Match quality as a customer outcome. False positive rate and true positive recall are how customers judge our data. You own the requirements behind both. * New sources, end to end. Scope the source, define the schema and the edge cases, write the spec, lead acceptance testing, and confirm what landed is what customers needed. * Third\-party data partners. Evaluate vendors, scope integrations, and pressure test what they claim their data covers * The bridge to sales and customers. Prospect calls, product trials, implementation scoping, onboarding, and turning what you hear into the next thing on the roadmap. * More surface area over time. The screening engine, Adverse Media, or Arbiter's data layer, depending on where you're strongest and where we need you. **What your week actually looks like** * \~4 to 6 hours in ceremonies. Standup, sprint planning, grooming, retro. We keep it light. * \~5 hours with customers and prospects. Sales calls, technical discovery, troubleshooting, onboarding, feedback. * The rest is product work. Writing specs precise enough to build from, grooming the backlog, QA'ing data output, enabling the go\-to\-market team, digging into a match failure in postman yourself before escalating it, and deciding what work comes next. **Who you’ll work with** * You'll report to the Head of Product, who sets strategic direction while you own execution and delivery. * Your primary counterpart is the data engineer who owns our scrapers, our Python ETL pipelines, and the implementation of everything you scope. * The split we run: you define what good means for our data and what order we build it in. Engineering owns how it gets built and how it stays running. * You’ll partner and collaborate across our go\-to\-market team to ensure s