DocuSign
Enterprise · E-signature
- HQ
- San Francisco, US
- Founded
- 2003
- Website
- docusign.com
DocuSign currently has 24 active AI-related job listings. The majority of these roles, 79%, are focused on agents, with serving infrastructure and post-training each accounting for 8% of the listings. Engineering is the dominant function, with 19 roles, and hiring is primarily concentrated in the United States and India. Frequent tech tags include agent_orchestration, model_serving, and rag, suggesting a focus on agent-based AI systems. Over the last 30 days, DocuSign has added 10 new AI roles, representing a 100% increase compared to the previous 30-day period.
Enterprise · E-signature
DocuSign currently has 35 active AI-related roles in our index. The most common open titles are: Machine Learning Engineer (3), Software Engineer (3), AI Engineer (2), Intelligent Automation Engineer (2), Software Engineer, Sales (2). Most positions are in Engineering and Product.
DocuSign's active AI hiring is concentrated in: agents (71%), serving infrastructure (14%), application (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
DocuSign is hiring AI talent in: United States (16 roles), India (15 roles), Ireland (3 roles), France (2 roles).
Job postings at DocuSign most frequently reference: agent orchestration, model serving, llm observability, rag, fine tuning.
In the past 30 days, DocuSign has posted 19 new AI-related roles. That is a +171% change versus the prior 30 days (7 → 19).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer Machine Learning Engineer at DocuSign to build state-of-the-art solutions leveraging text mining, deep learning, and document processing for the DocuSign Agreement Cloud. Responsibilities include research, testing, and evaluation of NLP/ML/DL methods, applying NLP techniques, developing and deploying ML/DL models for NLP tasks, and collaborating with Product Management. | Post-train | 7 |
| Machine Learning Engineer Machine Learning Engineer at DocuSign to build state-of-the-art solutions leveraging text mining, deep learning, and document processing for the DocuSign Agreement Cloud. Responsibilities include research, testing, and evaluation of NLP/ML/DL methods, applying NLP techniques, developing and deploying ML/DL models for NLP tasks, and collaborating with Product Management. | Post-train |
| 7 |
| Lead Atlassian Engineer Lead Atlassian Engineer responsible for the strategy, architecture, and delivery of enterprise-wide Atlassian solutions, including the integration and enablement of Atlassian AI features and agentic use cases to boost automation and enhance decision-making. | Agent | 5 |
| Sr. PSIRT Responder This role is for a Sr. PSIRT Responder at DocuSign, focused on leading the response to product security incidents and vulnerabilities. The responsibilities include investigating, analyzing, and coordinating the resolution of security issues, communicating with stakeholders, and developing incident response processes. The role requires experience in security incident response, application and cloud-based attacks, and familiarity with cybersecurity frameworks and scoring systems. While AI security concepts are mentioned as a preferred exposure, the core of the role is product security incident response, not AI/ML development. | — | 0 |