What you'll doAI is at the center of Docusign's strategy, from the AI powering our Intelligent Agreement Management platform to the tools transforming how our go-to-market teams sell, renew, and serve customers. As we scale AI across our GTM organization, we're investing in the analytical rigor to know what's working, measure its impact, and direct investment where it creates the most value. This role sits at the heart of that effort. Docusign is seeking a GTM Analytics & AI Measurement Director to serve as the analytical authority on whether, where, and how much AI is moving the needle for our go-to-market organization. As Docusign deploys AI across Sales, Customer Success, Marketing, and Partner teams, this role will answer the questions leadership cares about most: Is it working? How much value is it creating? Where should we invest next? You'll build the measurement framework for every GTM AI initiative, from setting baselines and designing experiments before launch to quantifying incremental impact on pipeline, win rates, sales cycle, retention, and productivity after rollout. You'll bring rigor to a hard problem: separating AI-driven lift from the many other forces that shape GTM performance. You'll do it with controlled experiments, holdout designs, and causal inference methods. You'll partner closely with AI Product, RevOps, Data Engineering, and IT teams so that new AI tools are instrumented from day one. You'll also work with GTM leaders to turn findings into decisions: scale what works, fix what's underperforming, and retire what isn't delivering. Beyond AI, you'll act as the lead for developing key analytic products to inform GTM decisions, applying the same experimental and causal rigor. Your work will directly shape how Docusign invests in AI and how leadership understands its return.
This position is an individual contributor role reporting to the VP of Growth Strategy & Operations.
Responsibility- Build core data and analytical products to serve GTM motions in partnership with internal IT teams
- Own the measurement strategy for GTM AI initiatives: define what success looks like, establish pre-launch baselines, and set the KPI hierarchy from adoption to productivity to revenue outcomes (pipeline, win rate, cycle time, ACV, retention)
- Design rigorous evaluations for AI deployments, including A/B tests, staged rollouts with holdout groups, and quasi-experimental methods (difference-in-differences, synthetic control, propensity matching) where randomization isn't feasible
- Quantify the incremental impact and ROI of individual AI tools and of the overall AI portfolio, separating AI-driven lift from seasonality, territory changes, pricing, and other confounders
- Build and maintain an impact scorecard for GTM leadership that tracks adoption, usage depth, productivity gains, and revenue attribution across Sales, CS, Marketing, and Partner teams
- Develop forecasting and sizing models to estimate the value of proposed AI initiatives before investment, and help prioritize the roadmap based on expected business impact
- Make data-driven recommendations to scale, iterate on, or sunset AI initiatives, and present findings and trade-offs to the CRO, CFO, and GTM leadership
- Ensure data instrumentation is incorporated from day one by partnering with AI product, Data Engineering, IT, and RevOps teams
Job DesignationHybrid: 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- 15+ years of experience in data science, analytics, or quantitative strategy, with 5+ years in B2B SaaS GTM
- 12+ years of experience and a Master's degree and equivalent experience
- Experience with experimental design and causal inference (A/B testing, diff-in-diff, synthetic control, uplift modeling)
- Experience with SQL and Python (pandas, statsmodels, scikit-learn or similar); experience with Snowflake or similar cloud data warehouses
- Experience with GTM metrics: pipeline, conversion, win rate, sales cycle, NRR, churn, CAC payback, LTV
- Experience with LLM-based systems and how to evaluate them (output quality, failure modes, LLM-as-judge)
- Experience turning complex analysis into clear recommendations for executive audiences
Preferred- Advanced degree (MS or PhD) in Statistics, Economics, Data Science, Operations Research, or a related quantitative field
- Experience measuring the impact of AI, automation, or sales productivity tools in a GTM organization, ideally from pre-launch baseline through post-rollout ROI readout
- Hands-on experience with uplift modeling, heterogeneous treatment effects, or causal ML (e.g., EconML, DoWhy, CausalML)
- Experience evaluating LLM-based systems, including output quality scoring, LLM-as-judge frameworks, and linking model quality to business outcomes
- Working knowledge of agent frameworks and AI workflows (e.g., LangGraph, CrewAI, AutoGen, Azure AI Foundry) and prompt design, enough to partner credibly with AI builders and design the right instrumentation
- Familiarity with GTM data sources such as Salesforce, Gong or other conversation intelligence platforms, Clari, and product usage telemetry
- Experience building executive-facing scorecards and dashboards (e.g., Tableau, Looker, Sigma) that tie adoption metrics to revenue outcomes
- Background in forecasting or investment sizing models used to prioritize a roadmap or allocate budget
- Track record of influencing senior leaders (CRO, CFO, GTM VPs) to scale, change, or stop programs based on analytical findings
- Comfort working in a fast-moving environment that values speed and experimentation, while holding a high bar for statistical rigor
Wage TransparencyPay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Based on applicable legislation, the below details pay ranges in the following locations:
California: $202,800.00 - $327,625.00 base salary
Illinois, Colorado, Massachusetts and Minnesota: $193,100.00 - $272,750.00 base salary
Washington, Maryland, New Jersey and New York (including NYC metro area): $193,100.00 - $286,500.00 base salary
This role is also eligible for the following:
- 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).
Global benefits provide options for the following:
- 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
