GTM Intelligence Manager -
Hybrid on SF, CA
12+ Months
As the GTM Intelligence Manager your charter is to transform business queries into memorable narratives, clear recommendations and actionable insights, utilizing conversation intelligence data from Gong and other data sources.
Beyond reporting and analysis, you’ll guide how we leverage AI to extract data and generate dynamic insights for sellers to leverage in customer conversations, working cross functionally to translate GTM needs into new platform capabilities.
Success in this role requires strong technical expertise, a solid understanding of SaaS go-to-market operations, and the ability to turn data into clear, practical recommendations that drive business performance.
Responsibility
Develop and maintain enterprise-level reporting, integrating Gong with SFDC and other GTM data sources
Design semantic layers, data models, and KPI definitions for consistent reporting across on platform health, usage, adoption, engagement and revenue impact
Create standardized GTM metric taxonomy (e.g., pipeline velocity, win/loss drivers, forecast risk, adoption/engagement, call quality signals) and align reporting across teams
Build and maintain complex SQL queries, data pipelines, and transformations
Ensure data quality, lineage, and reproducibility across environments
Translate executive questions into advanced, structured analysis to identify performance levers, signal early risks/opportunities and explore trends
Build executive-ready deliverables and data stories for QBRs, board/leadership updates, and strategic initiatives; tailor messaging for technical and non-technical audiences
Design and oversee GTM intelligence insights development, including AI-driven extraction and context definition
Gather and prioritize business needs from cross-functional teams and translate them into clear technical requirements, user stories, and functional specificationsIdentify process improvements to enhance insight generation and usability
What you bring
Basic
8+ years of experience in GTM Operations, Business Intelligence, Revenue Operations, Sales Operations, or similar data-intensive role within a large, high-growth SaaS company, with a focus on executive reporting and decision support
2+ years of experience with conversational intelligence applications (Gong preferred)
Experience with GTM processes and metrics across Sales, Customer Success, Partner, and Marketing
Experience using relational databases (ie Snowflake), data visualization and structuring cross-object data analysis, including experience using common statistical methods (e.g., regression, significance testing) and experimentation frameworks
Experience in SQL (complex joins, window functions, CTEs), Snowflake, and Salesforce data model navigation
Experience with Tableau (LOD expressions, parameters, complex calculations, performance optimization)
Experience with SaaS unit economics (ARR, ACV, retention, funnel metrics, productivity metrics).
Demonstrated ability to translate business processes into data structures, including operational edge cases and exception logic
Experience building executive dashboards and structured data models
Preferred
Excellent stakeholder management and communication skills; comfortable presenting insights to senior leadership
Comfortable operating autonomously in ambiguous environmente
Ablity to prioritize and deliver high-quality work independently
Gong certification or background in conversation intelligence analytics (e.g., call topic modeling, sentiment/scoring)
Experience with Agile/Scrum methodologies, ITIL frameworks, or process improvement methodologies (Lean, Six Sigma)
Prior work in high-growth B2B SaaS with evolving GTM motions; capable of operating in fast-paced, ambiguous environments
Strong visualization and design sensibilities; adept at building clear, compelling dashboards and executive decks that drive decisions
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