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: The Senior Director of Engineering will lead the development and scaling of our core product lines, taking them from early-stage adoption to massive enterprise scale. You will be responsible for a portfolio of products, driving the technical vision for agentic AI applications that are not just functional but delightful to use. You will bridge the gap between complex backend AI systems and intuitive, design-forward customer-facing interfaces. This position is a people manager role reporting to the VP of Engineering.
Responsibilities:
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 15+ years of software engineering experience, with at least 7+ years in senior leadership roles (Director level or above). Experience taking multiple products (1-10+) from early concept (0 to 1) through to significant scale and revenue growth (1 to 10). Experience building and shipping production-level AI applications. Experience with LLMs, Agentic AI, or autonomous systems. Experience presenting complex technical topics to senior leadership (C-Suite) and non-technical stakeholders with clarity and confidence. Experience working directly with external customers, including hopping on calls to support sales deals or address critical technical feedback. BS/MS in Computer Science or equivalent practical experience.