Docusign
Website:
docusign.com
Company:
https://www.linkedin.com/company/docusign
Seniority: Not Applicable
Industries: Software Development
Job details:
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).
What you'll do
We’re looking for a technical, execution-minded Growth Data Science Engineer to build the data and AI systems that power Docusign’s self-serve growth motion. In this role, you will bridge the gap between data science and data engineering, ensuring our growth squad has the infrastructure needed to drive seamless customer acquisition, adoption, expansion, and retention. You will be responsible for building robust data pipelines, deploying AI-driven features, and leveraging modern tools to accelerate development. Partnering closely with a cross-functional squad—including Growth, Product, Engineering, and Marketing—you will implement the technical systems that translate customer intent into real-time, automated product experiences.
This position is an individual contributor role reporting to the Director, Growth Analytics.
Responsibility
- Design, build, and maintain scalable data pipelines that ingest and process product telemetry and behavioral signals to support growth experiments and reporting
- Develop and maintain automated dashboards in Tableau to provide the growth squad with real-time visibility into experiment performance, funnel health, and AI model accuracy
- Utilize agentic AI tools like Claude Code to rapidly prototype features, refactor data processing scripts, and automate manual engineering workflows
- Implement and manage the technical frameworks required for A/B testing and causal inference, ensuring growth experiments are architected for accuracy and scale
- Partner with Engineering to ensure growth data is properly instrumented and flows correctly between business systems of record and Docusign’s product platforms
- Apply advanced techniques (predictive modeling, segmentation, LTV analysis) to understand customer behavior and integrate these insights into automated growth loops
Job Designation
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 bring
Basic
- 5+ years of experience in Data Engineering, Data Science, or a related technical role, ideally within a SaaS growth environment
- Strong command of Python and SQL, with experience building production-grade data pipelines (e.g., using dbt, Airflow, or similar orchestration tools) and creating impactful visualizations in Tableau
- Experience using AI-assisted coding tools (like Claude Code or GitHub Copilot) to improve development velocity and code quality
- Deep understanding of data warehousing concepts, telemetry instrumentation, and API integrations
- Practical knowledge of experimentation frameworks, including A/B testing and statistical significance
Preferred
- Experience building AI-native features or working with LLMs in a product context
- Experience operating in hybrid self‑serve / sales‑assisted SaaS business models
- MBA, MS, or PhD in a quantitative discipline (e.g., Statistics, Computer Science, Economics)
- Ability to work effectively within a cross-functional squad to turn product requirements into technical solutions
- Demonstrated ability to distill complex analytical findings into concise, actionable recommendations for executive audiences
- Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership
Life at Docusign
Working here
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.
Accommodation
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
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