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).
We are at a pivotal moment—transitioning to an AI-first enterprise. This isn’t about layering AI on top of existing workflows; it’s about reimagining how products are built, decisions are made, and customers experience value.
As a Program Manager, AI & Innovation, you won’t just coordinate delivery—you’ll shape how AI gets operationalized at scale. You’ll work at the intersection of product, engineering, data, and go-to-market teams to turn emerging AI capabilities into reliable, production-grade systems that drive measurable business outcomes. This is a role for builders and operators—people who understand that shipping AI is fundamentally different from shipping traditional software. If you’re excited about solving problems like model drift, evaluation uncertainty, data governance, and compute trade-offs, this is where you can have outsized impact.
This position is an individual contributor role reporting to the Sr. Director, Program Execution.
Responsibility
Orchestrate the end-to-end AI experimentation lifecycle, driving initiatives from initial prototyping and POC through pilot phases to production-grade monitoring and enterprise scale
Build and iterate on prompts, workflows, and agents using no code agents, LLMs across Commerce, Sales, and Self-Service (.com) experiences, from ideation through production scale
Translate ambiguous AI opportunities into clear program roadmaps, aligning model capabilities with business outcomes
Partner with Product, Engineering, Technology and Data Science to operationalize and agentify workflows
Leverage PMO tools and methodologies to implement and manage scope, timelines, risks, and resources
Create and manage all project management artifacts including project plan, issues and risks log, budgets, and status updates
Collaborate with Project Management and Change Enablement professionals across Docusign sharing leading practices and evolve our methodology
Anticipate and resolve compute and infrastructure constraints in partnership with technology teams
Ensure adherence to data privacy, security, and responsible AI practices across all implementations
Drive alignment across technical and non-technical stakeholders, including senior leadership
Orchestrate dependencies across multiple workstreams spanning AI, platform, and business systems (e.g., CPQ, billing, CRM)
Lead program rituals, executive updates, and decision forums with clarity and influence
Champion experimentation while building reusable patterns, components, and reference implementations for scaling AI across the enterprise.
Identify and incubate opportunities to embed AI into core business processes (e.g., Quote-to-Cash, support automation, sales productivity)
Elevate program management practices by integrating AI-native tooling and automation
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.
Basic
8+ years of experience of project management best practices and Agile methodology
Hands-on understanding of the LLM lifecycle, including: Prompt engineering and prompt optimization, Fine-tuning approaches and trade-offs, Evaluation methodologies (automated + human feedback loops)
Familiarity with AI system design and infrastructure, including model APIs, vector databases, embeddings, and orchestration frameworks
Experience managing challenges unique to AI systems
Working knowledge of Responsible AI, data governance, and privacy considerations in production environments
Experience working with enterprise systems (e.g., Salesforce, CPQ, billing platforms) and digital transformation initiatives
Demonstrated ability to move from AI pilots and experimentation to production-grade deployment
Bachelor’s Degree in Computer Science or related field or equivalent experience
Preferred
Experience leading AI/ML-driven product or platform initiatives in a SaaS environment
Exposure to AI tooling ecosystems (e.g., LLM platforms, orchestration frameworks, evaluation tools)
Background working closely with Data Science, ML Engineering, or Applied AI teams
Ability to simplify complex AI concepts for business stakeholders and drive adoption
Ability to quickly understand complex issues and develop or apply simplifying frameworks to facilitate broader organizational understanding, decision-making and action
Detail-oriented with excellent verbal, written, organizational, presentation and interpersonal communications skills
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Based on applicable legislation, the below details pay ranges in the following locations:
California: $132,700.00 - $206,800.00 base salary
This role is also eligible for the following:
Global benefits provide options for the following:
Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
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.
This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
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