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: Software Engineer (4), AI Engineer (3), Intelligent Automation Engineer (2), Lead AI Solutions Delivery Engineer (2), Machine Learning Engineer (2). Most positions are in Engineering and Product.
DocuSign's active AI hiring is concentrated in: agents (74%), serving infrastructure (14%), data (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: India (17 roles), United States (15 roles), Ireland (2 roles), France (2 roles).
Job postings at DocuSign most frequently mention: Testing Practices, Agent Orchestration, Python, Large Language Models (LLMs), Agentic Systems.
In the past 30 days, DocuSign has posted 9 new AI-related roles. That is a -50% change versus the prior 30 days (18 → 9).
| Title | Stage | AI score |
|---|---|---|
| Lead AI Solutions Delivery Engineer Lead AI Solutions Delivery Engineer responsible for deploying Docusign's AI capabilities and third-party integrations to solve complex business problems for enterprise customers. This role involves defining customer workflows, designing architectures, writing code, and engineering prompts to deliver tangible business outcomes, leveraging Docusign's IAM Platform and AI ecosystems. The role also involves collaborating with product and engineering teams to shape the AI roadmap based on field learnings. | Agent | 8 |
| AI Engineer AI Engineer at DocuSign focused on building Generative AI agents to automate the Software Test Life Cycle (STLC), including test case generation, script automation, and execution. The role involves integrating LLM capabilities, RAG, prompt engineering, and agentic frameworks into CI/CD pipelines and quality dashboards. | Agent | 8 |
| Lead AI Solutions Delivery Engineer Lead AI Solutions Delivery Engineer at DocuSign, focused on deploying GenAI and LLMs for enterprise customers. This role involves designing and building AI-enabled workflows, integrating Docusign's AI capabilities with third-party AI ecosystems (OpenAI, Microsoft CoPilot, Claude), and optimizing agreement lifecycles. The engineer will also develop data pipelines, microservices, and system architectures, and contribute to the product roadmap based on field learnings. Requires strong experience in customer-facing technical delivery and implementing LLMs/GenAI applications. | Agent | 8 |
| AI Engineer AI Engineer at DocuSign responsible for designing and delivering AI-native data solutions and scalable data/AI pipelines. The role involves building and operating agentic workflows, integrating GenAI tools, and transforming datasets into AI-ready models for analytics and decision intelligence. Key responsibilities include championing an AI-first mindset, developing LLM-integrated pipelines, defining prompt engineering patterns, and managing AWS infrastructure for data and AI platforms. | Agent | 8 |
| AI Engineer AI Engineer at DocuSign responsible for designing and delivering AI-native data solutions and scalable data/AI pipelines. The role involves building and operating agentic workflows, integrating GenAI tools, and transforming datasets into AI-ready models for analytics and decision intelligence. Key responsibilities include championing an AI-first mindset, developing LLM-integrated pipelines, defining prompt engineering patterns, and managing AWS infrastructure for data and AI platforms. | Agent | 8 |
| Product Manager, AI Product Manager for AI focusing on agent use case definition, business outcomes, and workflow design for prospecting within the enterprise tech stack. Responsibilities include defining agent capabilities, orchestrating workflows across enterprise systems, measuring value, managing autonomy, and defining guardrails and human-in-the-loop models. Requires experience with AI/ML products, automation systems, and building prototypes. | Agent | 8 |
| Senior Manager, GenAI Senior Manager, GenAI role focused on leading an engineering team to design, develop, and deploy enterprise AI agents and foundational AI systems. Responsibilities include technical vision, roadmap definition, platform selection, identifying tooling gaps, overseeing the AI lifecycle (including fine-tuning, inference, guardrails, evaluation, governance, observability), architecting semantic layers, establishing governance and security frameworks, and optimizing LLM systems for scalability and cost efficiency. The role requires people management experience and a strong technical foundation in AI/ML, particularly agentic platforms. | AgentPost-train | 8 |
| Sr. AI GTM Engineer This role focuses on building AI-powered workflows, agents, and tooling to enhance the efficiency and effectiveness of Marketing and Growth teams. The engineer will partner with various teams to turn business goals into automated journeys, experiments, and insights, transforming manual processes into AI-augmented systems and establishing foundational patterns and data for AI adoption. | Agent | 8 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer to build the 'brain' of Docusign's global services infrastructure, focusing on a self-healing ecosystem using Multi-Agent Systems, Reinforcement Learning, and LLMs for autonomous incident detection, troubleshooting, and resolution. The role involves designing and implementing autonomous remediation systems, developing GenAI agents for root cause analysis, deploying deep learning models for time series data, optimizing inference pipelines, and owning the model lifecycle from feature engineering to production monitoring. | AgentServe | 8 |
| Technical Product Manager - Payment Optimization Technical Product Manager with a strong data and machine learning background in the payments domain to drive the analytical and ML strategy for Docusign’s subscription payments. The role involves framing payment problems, designing and interpreting experiments, translating model outputs into decisioning logic and customer-facing capabilities to improve payment success and retention. Responsibilities include owning the data and ML roadmap, performing exploratory data analysis, designing and owning the experimentation program, partnering with Data Science to ship models (e.g., payment routing, retry optimization, churn prediction), establishing the data foundation, translating model behavior into requirements, monitoring KPIs, building dashboards, and partnering with Legal, Risk, Finance, Engineering, and Compliance for responsible AI use. | AgentServe | 7 |
| Software Engineer Software Engineer to build out the machine learning platform and infrastructure powering Docusign's Intelligent Agreement Management (IAM). Responsibilities include supporting the ML lifecycle (data storage, annotation, training systems, telemetry), building a platform for ML engineers and data scientists, and serving AI solutions at scale. The role involves designing, implementing, and maintaining backend and platform services for AI capabilities, developing components across the ML lifecycle, and contributing to service observability. | DataServe | 7 |
| SDET Software Development Engineer in Test (SDET) responsible for designing, developing, and maintaining scalable test automation frameworks for enterprise SaaS platforms. A critical differentiator is the ability to independently apply AI testing methodologies, including LLM evaluation, prompt testing, hallucination detection, and AI-assisted STLC practices, to ensure quality for both traditional and AI-powered product features. This role will leverage internal AI quality tooling and evaluator frameworks to accelerate test delivery and improve coverage consistency. The role also involves testing training/validation datasets and model quality testing. | AgentData | 7 |
| Director, Technical Program Manager Director, Technical Program Manager at DocuSign to lead programmatic execution and strategic delivery of complex technical initiatives within the Support organization. This role will orchestrate large-scale transformation programs, including AI-driven automation deployments, tool migrations, and global process redesigns, bridging business vision and technical implementation. Responsibilities include leading cross-functional programs for digital and platform transformation, translating requirements into technical specifications, managing the deployment of autonomous diagnostic agents and predictive support models, and aligning program milestones with organizational KPIs. The role also involves iterating on technical planning models, governing TPM frameworks, sponsoring operational initiatives for automation, and anticipating AI-driven industry disruptions. | Agent | 7 |
| Machine Learning Engineer Machine Learning Engineer on the AI Platform team responsible for designing and building foundational infrastructure for intelligent systems, including scalable platforms for autonomous agents, advanced retrieval systems, and automated model optimization. This role involves building high-performance distributed systems for model inference and data processing, designing frameworks for multi-agent systems, architecting RAG pipelines, and developing tools for prompt engineering, evaluation, and optimization. | AgentServe | 7 |
| Software Engineer Software Engineer on the AI Platform team responsible for architecting and building robust distributed systems and backend infrastructure for global AI capabilities, focusing on document processing, model serving, and data orchestration. The role involves developing scalable platforms for autonomous agents, retrieval systems, and model optimization, bridging AI research and production engineering. | ServeAgent | 7 |
| Software Engineer Software Engineer to build and maintain the machine learning platform and infrastructure powering Docusign's Intelligent Agreement Management (IAM). Responsibilities include supporting the ML lifecycle (data storage, annotation, training, telemetry), building a platform for ML engineers and data scientists, and serving AI solutions at scale. The role involves designing, implementing, and maintaining backend/platform services, developing ML lifecycle components, creating scalable APIs for AI insights, contributing to observability, and collaborating with ML engineers and data scientists. Experience with backend development, distributed systems, and cloud-native services is required, with preferred experience in AI/ML platforms, observability, large-scale data processing, and secure coding practices. | ServeData | 7 |
| Software Engineer Software Engineer to build and maintain the machine learning platform and infrastructure powering Docusign's Intelligent Agreement Management (IAM). Responsibilities include supporting the ML lifecycle (data storage, annotation, training, telemetry), building a platform for ML engineers and data scientists, and serving AI solutions at scale. The role involves designing, implementing, and maintaining backend/platform services, developing ML lifecycle components, creating scalable APIs for AI insights, contributing to observability, and collaborating with ML engineers and data scientists. Experience with backend development, distributed systems, and cloud-native services is required, with preferred experience in AI/ML platforms, observability, large-scale data processing, and secure coding practices. | ServeData | 7 |
| Senior Software Engineer Full Stack Senior Software Engineer to build and scale the next generation of the platform and customer-facing features, focusing on integrating AI orchestration and agentic frameworks. The role involves architecting and leading the development of Agentic systems and MCP-based integrations, managing non-deterministic AI outputs, and building fault-tolerant systems. | Agent | 7 |
| Lead Information Architect, Enterprise Ontology and AI Lead Information Architect responsible for designing the semantic models and knowledge frameworks that transform data into machine-understandable intelligence for Docusign's AI engines, Agentic AI, and search systems. This role involves defining enterprise ontology, taxonomy, and knowledge graph relationships to power AI solutions and establish semantic standards. | Agent | 7 |
| Partner Operations Program Manager This role focuses on managing the partner technology stack and operations, with a significant emphasis on integrating AI and automation into partner workflows. Key responsibilities include defining data models for AI/ML use cases, leveraging AI for insights, and architecting AI-driven support solutions involving LLM embeddings, RAG, and automation pipelines. The role also involves establishing quality control for AI outputs and driving AI performance optimization. | AgentData | 7 |
| Program Manager, AI & Innovation Program Manager for AI & Innovation at DocuSign, focusing on operationalizing AI at scale across the enterprise. The role involves managing the end-to-end AI experimentation lifecycle, building and iterating on prompts, workflows, and agents, and translating AI opportunities into program roadmaps. It requires a hands-on understanding of the LLM lifecycle, AI system design, and challenges unique to AI systems, with a focus on moving from experimentation to production-grade deployment. | Agent | 7 |
| Principal Partner Solutions Architect This role focuses on designing and advising partners on integrating Docusign's Intelligent Agreement Management (IAM) platform with emerging agentic AI ecosystems. The Principal Partner Solutions Architect will create reference architectures, proof-of-concept solutions, and technical content to enable System Integrator (GSI) partners to build and deliver agreement-native agentic solutions for joint customers. The role involves hands-on advisory work, technical workshops, and staying ahead of AI trends to translate them into practical workflow solutions. | Agent | 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 |