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Product Manager, Data

Job in Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listing for: Castellum.AI
Full Time position
Listed on 2026-09-02
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

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 sales, client success, and solutions engineering all have the right context and share back meaningful insights to keep our product feedback loop strong.
What we’re looking for Required
  • 3 to 5 years of product management experience in B2B SaaS, fintech, compliance tech, or on a data or platform product.
  • Are comfortable getting hands‑on in an early‑stage startup environment and figuring things out yourself
  • Excel at execution and delivery—you figure out how to work with engineering to ship products on time that add meaningful value.
  • Fierce commitment to identifying and delivering the minimum viable product. You treat sequencing as the real decision, not scope.
  • You get real value out of AI tools, and you notice when the model makes the wrong tradeoff. You ship work you understand and stand behind.
  • Have excellent analytical and problem‑solving skills with ability to make data‑driven decisions.
  • Can translate technical concepts for non‑technical stakeholders and vice versa.
  • Can communicate quickly, respectfully and concisely.
Nice to Have
  • Working knowledge of sanctions and watchlist data: OFAC, EU, UN, PEPs, how the lists are structured, and why entity matching on them is hard.
  • Experience with data ingestion, ETL, or products built on scraped sources.
  • Experience owning a precision…
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