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 peoples lives. With intelligent agreement management, Docusign unleashes businesscritical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusigns Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in esignature and contract lifecycle management (CLM).
What youll do
This role is focused on accelerating AI product development across Docusign by providing essential services and frameworks, while also building and owning core foundational AI features like deep contract understanding. You will lead efforts to enable other teams to build AI features and occasionally codevelop initial product versions, ensuring efficient and scalable AI solutions.
The ideal candidate will have extensive product management experience, a deep understanding of the AI development lifecycle, and a proven ability to ship AI products or platforms at scale. This role also involves optimizing AI services for efficiency and contributing to AI governance.
This position is a people manager role reporting to GVP, B2B Product Management.
Responsibilities
- Own foundational AI capabilities
- Accelerate AIdriven product development across Docusign by providing services, frameworks, and guidelines for established and new scenarios
- Build and maintain AI services and frameworks
- Develop, maintain, and improve infrastructure AI services and frameworks so that each team can take advantage of common scenarios at scale, across geographies, and in a secure, data compliant environment (e.g. capture embeddings, vectorize, search, RAG, etc.)
- Optimize AI services for scale, cost, and latency
- Set the AI governance and compliance standard for Docusign
- Set the gold standard for how sensitive customer data is handled for the whole company, and provide the necessary training, communication, brand guidelines, core services, and review process to continue to deliver on Docusigns trust promise to our customers
Job Designation
Hybrid: Employee divides their time between inoffice and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly inoffice 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 positions job designation depending on business needs and as permitted by local law.
What you bring
Basic
- 12+ years experience in building software, ideally at scale, and for enterprises
- Experience defining, launching, and scaling demonstrably successful products
- Experience managing teams of 5-10 PMs, with managers reporting to you
- Experience supporting multiple product lines or initiatives simultaneously, while thoughtfully building services to support them
- Ability to navigate and drive collaboration within a complex organizational structure involving not just engineering, and data science teams, but also field teams that need product education for enablement, marketing, etc.
Preferred
- Strong bias to action, sense of ownership, and clarity of communication
- Deep understanding of the AI development lifecycle, experience working through typical constraints (e.g. data annotation speed), familiarity with common AI pitfalls and their remedies, and a strong grasp on basic concepts in building machine learning models, natural language processing, and document understanding
- Experience using or building with open source and commercial solutions available for accelerating AI product development
- Ability to translate complex AI concepts into clear product strategies, companywide policies, and feature opportunities
- Demonstrated experience in the endtoend lifecycle of AI product development, from ideation to deployment and optimization
- Experience in setting the vision and strategic direction of AI initiatives and platform investments
- Understanding of the complexities involved in operating AI services in a largescale, enterprise environment, including considerations for cost, performance, reliability, security, and governance
- Awareness and understanding of best practices in AI governance, data privacy, and ethical AI development
- Experience in establishing processes or guidelines for responsible AI deployment
- Ability to convert this into simple communication that informs and builds trust with our customers
- Based in the Seattle area
Wage Transparency
Pay for this position is based on a number of factors including geographic location and may vary depending on jobrelated knowledge, skills, and experience.
Based on applicable legislation, the below details pay ranges in the following locations:
California: $202,800.00 - $327,625.00 base salary
Washington, Maryland, New Jersey and New York (including NYC metro area): $193,100.00 - $286,500.00 base salary
This role is also eligible for the following:
- Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of preestablished sales goals. NonSales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
- Stock: This role is eligible to receive Restricted Stock Units (RSUs).
Benefits
- Paid Time Off: earned time off, as well as paid company holidays based on region
- Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
- Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
- Retirement Plans: select retirement and pension programs with potential for employer contributions
- Learning and Development: options for coaching, online courses and education reimbursements
- Compassionate Care Leave: paid time off following the loss of a loved one and other lifechanging events
Life at Docusign
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 whats 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, youll 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.
States Not Eligible for Employment
This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota South Dakota, Vermont, West Virginia and Wyoming.
Equal Opportunity Employer
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 cando 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.
Basic
- 12+ years experience in building software, ideally at scale, and for enterprises
- Experience defining, launching, and scaling demonstrably successful products
- Experience managing teams of 5-10 PMs, with managers reporting to you
- Experience supporting multiple product lines or initiatives simultaneously, while thoughtfully building services to support them
- Ability to navigate and drive collaboration within a complex organizational structure involving not just engineering, and data science teams, but also field teams that need product education for enablement, marketing, etc.
Preferred
- Strong bias to action, sense of ownership, and clarity of communication
- Deep understanding of the AI development lifecycle, experience working through typical constraints (e.g. data annotation speed), familiarity with common AI pitfalls and their remedies, and a strong grasp on ]]>