Value Insights Manager

Gong Gong · Enterprise · San Francisco, CA · Sales Operations

This role focuses on building data foundations to prove customer value at scale using Gong's AI-powered Revenue AI Operating System. It involves data engineering, analytics, and customer outcome measurement, transforming raw data into analytics-ready tables to track business impact and demonstrate value realization. The role requires strong SQL, dbt, and data modeling skills, with collaboration across product, engineering, and analytics teams.

What you'd actually do

  1. Value Storytelling and Business Impact: Partner with sales and customer success teams to build ROI models, extract KPIs from Gong data, and create compelling value stories that translate technical outcomes into measurable business results for executive stakeholders
  2. Data Infrastructure: Design and implement robust dbt models that transform raw Gong data into analytics-ready tables supporting outcome attribution and value realization across all customers. Architect scalable, efficient data solutions using a modern stack (SQL/Snowflake, Python, dbt, Airflow, GitHub) optimized for precise business impact tracking
  3. Technical Leadership and Collaboration: Work closely with product, engineering and analytics teams to align data architecture with business goals while creating and documenting methodology
  4. Data Quality and Governance: Implement automated tests, monitoring dashboards and data quality frameworks. Partner with Product Analytics on shared data governance and definitions
  5. Self‑Service and Enablement: Create data marts and parameterized queries that empower Value Engineering to self-serve complex analyses while building automated insight delivery systems that enable Customer Success to demonstrate measurable value to customers

Skills

Required

  • SQL
  • Snowflake
  • dbt
  • BI Tools (Tableau/Looker/Sisense)
  • CI/CD for data workflows
  • Git
  • testing frameworks
  • communicate complex data to executives

Nice to have

  • Python
  • Airflow
  • Fivetran
  • Segment

What the JD emphasized

  • transform raw Gong data into analytics-ready tables
  • automated insight delivery systems