GTM Analytics Manager
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-04-23
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Company Overview
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 an GTM Analytics Manager on the PLG Strategy & Operations team, your charter is to help drive focuses on unlocking durable, efficient growth across our self‑serve motions for Direct customers. To do this, you will leverage existing data frameworks to identify opportunities. You’ll then drive cross-functional alignment around those opportunities and report back on whether the initiative worked. This role will have a supreme command on in-quarter performance and be heavily involved in our annual planning process.
They will also help drive target creation and ROI measurement for self serve initiatives.
This position is an individual contributor role reporting to the Senior Manager, PLG Strategy & Operations.
Responsibility
Own the data, forecasting, target setting, and insight backbone for the Direct self‑serve experiences (from Auto Renewal to self serve expansion)
Leverage SQL, Salesforce data, experimentation results, and product analytics to identify and size growth opportunities
Use and help evolve AI tooling (including analytics copilots and LLM‑based assistants) to scale insight generation and operational workflows
Partner closely with PLG, Direct Sales, Marketing, and Finance to drive alignment on where to invest and how to measure impact
Connect teamwork and deliverables to broader business outcomes, identifying opportunities to increase value or reduce risk, especially by leveraging new efficiencies enabled by technology like AI where possible
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)
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position’s job designation depending on business needs and as permitted by local law.
What you bringBasic
BA/BS degree in a quantitative field (e.g., Statistics, Economics, Engineering, Computer Science, Finance) or equivalent work experience
8 years of experience in analytics or strategy roles in SaaS, e‑commerce, or technology
Experience with SQL and querying large, complex datasets and building reusable data models
Experience with Salesforce data and the sales funnel, including how leads, contacts, accounts, and opportunities are structured and reported
Experience building forecasts and scenario models for conversion, and revenue (ideally for self‑serve or PLG motions)
Experience with spreadsheet(Google Sheets / Excel) for modeling and ad‑hoc analysis
Experience working with subscription business models and recurring revenue metrics
Preferred
Excellent presentation and communication skills; ability to translate complex analysis into clear narratives and recommendations for senior stakeholders
Comfort working in fast‑paced, ambiguous environments and collaborating with globally distributed teams
High degree of comfort using SQL techniques
Familiarity with Tableau or other related BI tools
Proven track‑record in fast paced environments
Familiarity with lead funnel and routing techniques
Pay for this position is based on a number of factors including geographic location and may vary depending on job‑related knowledge, skills, and experience.
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