GTM Intelligence Manager

Docusign • San Francisco, CA

5h • Hybrid

About The Position

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.
In this role, you will develop and maintain enterprise-level reporting that synthesizes conversational data into key insights about the effectiveness and consistency of our revenue pipelines. This reporting will be critical to guiding strategic business decisions—distilling data into insight, drafting executive-ready content that shares clearly what is happening in the business and why. You will structure complex models and data queries, and manage an intake queue for ad hoc analyses.
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.
This position is an individual contributor role reporting to the Director, GTM Intelligence.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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
• Partner with Enablement teams to drive adoption

Benefits

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).
• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed