Senior Product Manager, Data Cloud and Connectors

About DX

DX is the developer intelligence platform. We help engineering leaders understand how work gets done, improve developer experience, and make better decisions about productivity and AI. DX combines self-reported insights from developers with data from the systems where software work happens, then turns those signals into insights teams can act on.

The role

We are looking for a Senior Product Manager to lead DX’s data platform and connector portfolio.

The data platform is the foundation beneath every DX insight. It connects to the tools our customers use, ingests and organizes their data, protects its integrity, and makes it available to the rest of the DX product. You will own the product direction and outcomes for Data Cloud, our connector ecosystem, core data integrity, and the data infrastructure behind our demo environment.

This is a deeply technical product role. You do not need to be an engineer, but you must be able to reason credibly about connectors, APIs, data models, database design, data lakes, reliability, enterprise data requirements, and data privacy/security. You will turn that understanding into a data platform that customers and internal product teams can trust.

What you’ll do

• Set the vision, strategy, roadmap, and measurable outcomes for DX’s Data Cloud and connector ecosystem.
• Prioritize connector investments using customer demand, market context, strategic leverage, and the needs of downstream DX products.
• Improve the end-to-end connector experience, including setup, authentication, configuration, data mapping, sync health, and troubleshooting.
• Define product requirements for data quality, freshness, completeness, reliability, and transparency.
• Partner closely with Engineering on the evolution of DX’s unified data layer while maintaining a clear boundary between product direction and technical design.
• Own the product capabilities that keep DX’s demo environment representative, reliable, and useful.
• Build a deep understanding of enterprise data environments, security constraints, integration patterns, and the teams responsible for them.
• Shape ambiguous opportunities with lightweight specs, prototypes, and clear written context before the team commits to a solution.
• Know how the platform is performing across connector adoption, time to value, reliability, and customer satisfaction