GTM Intelligence Manager

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity.

Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity.

Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

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.

• 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 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 specifications; identify process improvements to enhance insight generation and usability
• Partner with Enablement teams to drive adoption

Hybrid:
Employee divides their time between in‑office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in‑office expectation)

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