Senior Product Manager (Analytics)

Location: United States Remote

USA compensation range: estimated base salary $177,160–$221,450 per year.

Company

hirify.global provides a collaboration platform used by large organizations, with data products that support enterprise adoption, governance, reporting, and trust.

What you will do

• Define shared, cross-product metrics covering activity, collaboration, and adoption, and establish standards for product teams to publish metrics consistently.
• Shape the evolution of data products from historical reporting toward insights that guide organizational decisions and hirify.global adoption.
• Own the strategy and roadmap for Insights, including in-product reporting, dashboards, exports, APIs, audit logs, and the methodology behind customer-facing metrics.
• Partner with domain product managers and Business Analytics to improve internal product analytics and align product-facing and business-facing reporting.
• Launch and define the scope, plan availability, and guardrails for hirify.global’s customer-facing reporting MCP server and agent-driven analysis.
• Set instrumentation requirements for granularity and retention, and partner with Data Engineering on event standards and reliable source data.

Requirements

• 5+ years of product management experience, including shipping at least one analytics or reporting product used by paying business customers; experience defining the underlying metrics is required.
• Experience making messy or conflicting data trustworthy by reconciling definitions, writing buildable metric specifications, and changing upstream instrumentation.
• Experience building both platform products for internal teams or developers and end-user-facing analytics, reporting, or insights products.
• Working knowledge of event pipelines, warehouses and lakehouses, dbt-style modeling, and semantic layers, with the ability to write SQL and pull data independently.
• Ability to reach agreement on definitions across teams not directly managed, including product management, data engineering, analytics, finance, and go-to-market.

Nice to have

• Experience with enterprise admin or governance products such as 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 connectors for analytics.

Culture & Benefits

• Remote role based in the United States.
• Reasonable accommodation is available for individuals with disabilities during the application, interview, and employment process.