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 As a Principal Engineer in the Marketing and Enterprise Applications Technology Engineering team, you will own and evolve the long-term technical vision for marketing, sales, and downstream commerce technology, with a strong emphasis on AI enablement, data platforms, and large-scale distributed systems with deep marketing technology domain expertise. You will act as a trusted technical advisor to senior leaders, lead architectural design across teams, and remain deeply involved in solving the most complex technical challenges. You will guide teams through architectural decisions, establish engineering standards, and mentor senior engineers, while continuously identifying opportunities where AI, automation, and advanced data systems can unlock step-function improvements in customer experience and GTM effectiveness. This position is an individual contributor role reporting to the VP, Applications Engineering. Responsibility Define and steward the long-term architecture and technical strategy for lifecycle marketing, sales, commerce, and AI technology platforms, ensuring alignment with Docusign’s GTM objectives and future growth Lead the design and adoption of AI-enabled capabilities, including data pipelines, feature stores, model integration patterns, automation frameworks, and intelligent decisioning systems that power personalization and lifecycle marketing Own and influence the end-to-end architecture of complex, distributed lifecycle marketing, sales, and commerce business systems, emphasizing scalability, reliability, security, and extensibility to support high data volumes and rapid innovation Partner closely with senior engineering, product, marketing, sales, success, and analytics leaders to guide architectural decisions, communicate tradeoffs, and align technical direction with business priorities Provide technical leadership across the broader GTM ecosystem, helping teams understand technology specific to marketing domain, platform capabilities, constraints, and opportunities, and ensuring cohesive integration across systems and workflows Establish and uphold technical standards, design principles, and best practices across teams, driving consistency, quality, and operational rigor in how platforms are built and evolved Mentor senior and lead engineers, elevate technical decision-making across the organization, and model strong ownership, thoughtful design, and long-term architectural thinking Evaluate emerging technologies, AI methodologies, and architectural patterns, guiding responsible adoption to keep Docusign’s marketing technology ecosystem modern, flexible, and future-ready 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 Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 15+ years of experience in software engineering, marketing, sales, commerce technical domain knowledge, with deep expertise in building and operating large-scale, data-intensive platforms to scale for volume, velocity, variety of data, campaign events, lead generation Experience designing and evolving complex distributed architectures used by multiple teams and mission-critical business functions Experience in AI-adjacent systems, including data platforms, automation, model integration, or intelligent decisioning at scale Experience with microservices architectures, containerization, and orchestration technologies such as Docker and Kubernetes Experience in backend programming languages such as Java or Kotlin, Python, or Node.js Experience with SQL and NoSQL databases, and distributed data and streaming platforms such as Kafka, Spark, and Hive Cloud platform experience across AWS, Azure, or GCP Preferred Experience applying AI and machine learning concepts to marketing, personalization, sales