Analyze and synthesize data across multiple systems to identify where leads drop off and what drives conversion
Own the identification and prioritization of high-impact growth opportunities based on data-driven insights
Define, scope, and deliver product improvements in partnership with data engineering teams
Define and manage the data layer as the single source of truth for core business metrics, enabling consistent, reliable, and self serve analysis
Establish clear definitions and alignment on key metrics across sales and operations
Improve data quality and instrumentation to ensure accurate and reliable decision-making
Translate complex, multi-source data into clear narratives and actionable recommendations
Partner cross-functionally to ensure insights lead to measurable business outcomes

2–5 years of experience in product management, analytics, or sales operations
Advanced SQL skills, including the ability to independently extract, join, and analyze data across multiple sources
Experience with BI and data platforms such as Looker and Databricks
Familiarity with CRM and sales tooling such as HubSpot
Proven ability to synthesize complex, multi-source data into clear insights and prioritized action plans
Experience working closely with engineering teams to define, scope, and ship product features
Clear and concise communication skills, both written and verbal.

Data Product Manager, Growth Tech

Key skills