Data Product Manager

At Solidus Labs, we build the trust layer for digital and traditional markets. Our data platform powers advanced market surveillance, transaction monitoring, and analytics across asset classes - equities, options, futures, crypto, FX, and beyond. By architecting real-time and historical data pipelines, our data team delivers the speed, accuracy, and reliability that today’s markets demand. Headquartered in Wall Street, with offices in Singapore, Tel Aviv, and London, we safeguard millions of retail and institutional entities globally, monitoring over a trillion events each day.

The Role:

We’re looking for a high-impact Product Manager to own and scale our high-performance, low-latency market data pipelines. You’ll lead initiatives that ingest, process, and deliver multi-asset-class market data - seamlessly supporting our AI, DeFi, surveillance, and monitoring products.

Your role will be both strategic and hands-on: defining the vision, managing the roadmap, and working side-by-side with engineering to deliver data solutions that power mission-critical financial applications.

The ideal candidate will have a strong trading, trading applications or market data background and experience building and scaling enterprise data platform products. They will also have excellent communication and leadership skills, enabling them to work effectively across functional teams.

Solidus Labs is headquartered in FiDi in New York City, and this role is based in NYC.

Responsibilities:

• Lead Data Architecture Initiatives – Define requirements through stakeholder engagement and oversee the design and implementation of scalable, secure, and performant market data systems.
• Own the Roadmap – Create and maintain a transparent, prioritized product roadmap for the Data Platform team.
• Enable Cross-Functional Success – Collaborate with PMs and engineers from Market Surveillance, Transaction Monitoring, AI, and DeFi to align data capabilities with product needs.
• Optimize for Performance – Drive development of real-time and batch pipelines with low-latency (<100ms) and high-throughput standards.
• Ensure Quality & Reliability – Champion automated testing, monitoring, and high-availability practices to guarantee data completeness and accuracy.
• Measure & Improve – Use analytics, KPIs, and feedback loops to refine product delivery and inform strategic decisions.