Senior Product Manager, Data Products

Responsibilities

• The evolution of data products. Shape how Mural's data products move from reporting on what happened to guiding what happens next. Work across the Govern & Trust portfolio to define how insights become part of how organizations run Mural.
• The metric layer. Define Mural's shared, cross-product metrics, like activity, collaboration, and adoption.
• Set the standards that let product teams define and publish their own metrics consistently. Data Engineering builds and runs the layer; you shape what goes in it and how it evolves.
• Internal product analytics. Be a thought partner to domain PMs as they set their north-star metrics, and make product data easy for them to explore on their own. Work with Business Analytics to keep product-facing and business-facing reporting working together.
• Customer-facing data products.
• Own the strategy and roadmap for Insights: in-product reporting and dashboards, exports and APIs, audit logs, and the methodology behind every number customers see.
• AI and agent access. Package and launch Mural's customer-facing reporting MCP server: which data it exposes, which plans get it, and what guardrails apply. Define how natural-language and agent-driven analysis extends Insights.
• Instrumentation. R&D teams own emitting events. Your job is to raise the bar on what they emit.
• Set per-product requirements for granularity and retention, which differ for audit logs, activity data, and product analytics.
• Partner with Data Engineering on event standards so metrics start from good data.

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