Senior Product Manager, Data Products
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Posted: 10/22/2026SQL
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Posted: 10/21/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and implementing metrics for analytics and reporting products, with a strong focus on data integrity and cross-functional collaboration. Proficient in SQL and experienced in building end-user-facing data products while ensuring alignment with business and product strategies.
Highest-signal resume keywords
Product Management ExperienceAnalytics Product DevelopmentSQL ProficiencyEvent Pipeline KnowledgeSemantic Layer Tools Experience
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Define the metrics that describe how Mural creates value and establish them as a shared foundation
- Work from raw product events to determine metric definitions, calculations, and required data structures
- Shape the evolution of Mural’s data products from reporting what happened to guiding what happens next
- Work across the Govern & Trust portfolio to integrate insights into how organizations run Mural
- Define shared cross-product metrics such as activity, collaboration, and adoption
- Set standards for product teams to define and publish metrics consistently
- Partner with Data Engineering on the metric layer and event standards
- Advise domain product managers on north-star metrics
- Make product data easy for internal teams to explore independently
- Collaborate with Business Analytics to align product-facing and business-facing reporting
- Own the strategy and roadmap for Insights, including in-product reporting, dashboards, exports, APIs, audit logs, and reporting methodology
- Package and launch Mural’s customer-facing reporting MCP server, including exposed data, plan availability, and guardrails
- Define natural-language and agent-driven analysis extensions for Insights
- Set per-product instrumentation requirements for granularity and retention
- Partner with R&D and Data Engineering to improve event quality and standards
Requirements
What you’ll need- 5+ years of product management experience
- Experience shipping at least one analytics or reporting product used by paying business customers
- Experience defining the metrics behind an analytics or reporting product
- Track record of making messy or conflicting data trustworthy
- Experience reconciling competing definitions and writing metric specifications engineers can implement
- Experience getting instrumentation changed upstream
- Experience building platform products for internal teams or developers
- Experience building end-user-facing data products such as analytics, reporting, or insights
- Working knowledge of event pipelines, warehouses and lakehouses, dbt-style modeling, and semantic layers
- Ability to write SQL and independently pull data
- Ability to gain agreement across PMs, data engineering, analytics, finance, and go-to-market teams
- Experience with enterprise admin or governance products, including IAM, security, compliance, or audit
- Hands-on experience with semantic layer tools such as dbt Semantic Layer, Cube, or LookML
- Experience designing APIs, MCP servers, or analytics connectors
Benefits
Comp & perks- Reasonable accommodation for individuals with disabilities during the application, interview, and job-performance process
- Other benefits and privileges of employment (not specified)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Metric DefinitionData Structure DesignInstrumentation RequirementsAPI DesignReporting MethodologyData Quality ImprovementMetric Specification WritingAnalytics ReportingData Product DevelopmentEvent Standards
Soft Skills
Cross-Functional CollaborationStakeholder AgreementAdvisory Skills
Tools & Technologies
Dbt Semantic LayerCubeLookMLMCP ServerData WarehousesData Lakes
Industry Keywords
GovernanceComplianceIAMAuditBusiness Analytics