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Senior Product Manager - Data Analytics & Reporting

LinkedIn Highnote San Francisco, CA
Mid-Senior level Posted April 17, 2026 Job link
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Requirements
  • Stakeholder Management, acting as the primary translator between the "language of finance" (accruals, deferrals, ledgers) and the "language of engineering" (APIs, schemas, latency).
  • 8+ years of product management experience specifically in data reports, financial analytics, or revenue operations (RevOps).
  • Strong foundation in accounting or financial operations; you must be comfortable auditing complex spreadsheets and converting them into technical requirements.
  • Data Reporting Expertise; proven track record of building analytics products using SQL, BI tools (Looker/Tableau), and modern data warehouses (Snowflake/BigQuery).
  • Experience building "test-driven" products where data integrity and logic verification are at the forefront of the development lifecycle.
  • Experience or strong interest in applying Machine Learning/GenAI to automate structured workflows and data matching.
Preferred Skills
  • Experience or strong interest in applying Machine Learning/GenAI to automate structured workflows and data matching.
  • You have a background that spans both worlds (e.g., prior experience in Fintech, Investment Banking, or as a Data Engineer focused on Financial Systems).
  • Experience specifically using AI to automate document processing (invoices/billing) or anomaly detection in financial datasets.
  • The ability to see how a change in a core transaction API will ripple through to a customer's monthly billing statement.
  • Exceptional ability to lead discovery sessions with non-technical finance users and distill their needs into actionable tickets for developers.