Senior Product Manager, Data Products
当世界上最大的组织投注于 Mural 时，Govern & Trust 是赢得规模信任的团队。我们建立经验帮助企业以信心推出 Mural,保持安全性，并看到它对员工的工作方式的影响。数据是所有事情的中心。管理人员是 Mural 最具要求的数据消费者：他们需要证明他们的领导力，指导成千上万的人通过，并为每一个行动负责。如果数据产品能够满足他们的标准，它们将适用于每个人都.Mural 拥有现代化的数据平台，强大的数据工程和分析团队，以及大量的数据有关团队如何协作。下一步是把这些数据视为一个自主产品，并拥有专门的所有者来了解它们意味着什么以及如何使用。你的任务作为高级产品经理你将定义描述 Mural 如何创造价值的指标，并使其成为上面构建的一切共同基础。同样的定义将推动内部产品决策，洞察力管理员在产品中使用的体验和客户和人工智能代理查询的报告 API 和 MCP 服务器。这个角色从原始产品事件开始上游。你将从原料产品事件中决定每个指标应该测量什么，它是如何计算的，以及客户和内部团队需要看待哪些数据才能依赖于它。然后你将这些指标转化为帮助组织理解和增长使用 Mural 的体验。你会做什么 - 数据产品的演变。塑造 Mural 的数据产品如何从报告发生的事情到引导下一步的事情。在政府与信任组合中工作，以定义洞察力是如何成为组织运行 Mural 的一部分。- 测量层。定义 Mural 的共享，跨产品指标，如活动，合作和采用。设定允许产品团队一致地定义和发布自己的指标的标准。数据工程构建并运行层；你塑造了它中的内容以及它的发展方式。- 内端产品分析。作为专业 PMI 的思想合作伙伴，他们设定他们的北星指标，并让产品数据易于自己探索。与商业分析合作，以保持面向产品和面向企业的报告共同工作。- 面向客户数据产品。拥有见解的战略和路线图：产品内部报告和仪表板，出口和 API,审计日志以及每一个数量客户都在使用的方法
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ABOUT THE TEAM
When the world's largest organizations bet on Mural, Govern & Trust is the team that earns that trust at scale. We build the experiences that help enterprises roll out Mural with confidence, keep it secure, and see the impact it has on how their people work. Data sits at the center of it all. Admins are Mural's most demanding data consumers: they need to prove ROI to their leadership, guide adoption across thousands of people, and account for every action. If data products can meet their bar, they'll work for everyone.
Mural has a modern data platform, strong data engineering and analytics teams, and a wealth of data on how teams collaborate. The next step is treating that data as a product in its own right, with a dedicated owner for what it means and how it's used.
YOUR MISSION
As a Senior Product Manager you'll define the metrics that describe how Mural creates value, and make them the shared foundation for everything built on top. The same definitions will power internal product decisions, the Insights experience Admins use in the product, and the reporting API and MCP server that customers and AI agents query.
This role starts upstream. You'll work from raw product events to decide what each metric should measure, how it's calculated, and what the data needs to look like for customers and internal teams to rely on it. Then you'll turn those metrics into experiences that help organizations understand and grow their use of Mural.
WHAT YOU'LL DO
- 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.
WHAT YOU'LL BRING
- 5+ years of product management experience, including shipping at least one analytics or reporting product used by paying business customers. You defined the metrics behind it, not just the UI.
- A track record of making messy or conflicting data trustworthy: reconciling competing definitions, writing metric specs engineers could build from, and getting instrumentation changed upstream.
- Experience building both platform products, where your customers are internal teams or developers, and end-user-facing data products like analytics, reporting, or insights. You understand how the two have to work together.
- Working knowledge of modern data stacks: event pipelines, warehouses and lakehouses, dbt-style modeling, and semantic layers. You can write SQL and pull data yourself.
- The ability to get agreement on definitions across teams you don't manage, including PMs, data engineering, analytics, finance, and go-to-market.
- Experience with enterprise admin or governance products (IAM, security, compliance, audit)
- Hands-on experience with semantic layer tools (dbt Semantic Layer, Cube, LookML)
- Experience designing APIs, MCP servers, or connectors for analytics
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.