Product Manager - Data & Algos

About Solidus LabsSolidus Labs sits at the intersection of every major shift happening in financial markets right now. We build market integrity and compliance technology for traditional finance, digital assets, and prediction markets, onchain and offchain, used by financial institutions and regulators across the globe. Our platform monitors over a trillion events a day, and we're now at the front of another wave: agentic AI is changing how compliance and surveillance work gets done, and we're building for that future today. We're a small team doing work that matters, and we move fast.About the RoleWe’re seeking an experienced Product Manager to build out and scale adoption of our industry-leading Trade Surveillance products. You bring a strong trading or trading-applications background and experience building and scaling enterprise platform products, along with the communication and leadership skills to work effectively across functional teams. This role is based in our New York City office.What You’ll DoOwn the client-facing roadmap for surveillance detection: new algo typologies, expanded asset-class and venue coverage, and the enrichment data that makes alerts land — turning Algorithm and Data team capability into features clients can buy.Write the product requirements that take a new detection typology from concept to production — use cases, parameters, alert output, and what the analyst sees when it fires.Drive alert quality as a product outcome: fewer false positives, clearer alert rationale, and enough explainability that a compliance officer can defend a fired alert to a regulator.Close coverage gaps that show up in RFPs, security reviews, and live deals; translate the "can you detect X?" questions from Sales and prospects into prioritized algo and data work.Partner with Professional Services and Customer Success on onboarding and tuning outcomes, converting recurring client requests into durable products instead of repeated services work.Understand Solidus Labs' market surveillance algorithms deeply enough to explain them, and demo new detection features directly to clients and prospects.