Lead Product Manager, Agentic AI Platform

Salary

$186k – $301k

Location

US-SFO-Main, United States

Work mode

hybrid

Type

full-time

Department

Product Development, Management & Experience

Equity

Included

Last seen

23h ago

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 Lead Product Manager for Agentic AI Platform, you will lead the AI Agent Platform and AI Agent evaluation within the Intelligent Agreement Management (IAM) platform—making it smarter, more relevant, and agreement-centric. This role is focused on unlocking the power of AI agents by building a next-generation, agentic fabric and AI agent evaluation experience that helps customers accelerate agreement lifecycle. Docusign’s Agentic AI platform powers Docusign’s next-generation experiences like Iris chat (conversational AI), enabling multi-step autonomous workflows through agent orchestration, AI agents and tools. As we shift from deterministic systems to probabilistic, multi-step agents, success depends not just on building agentic systems—but on proving their quality, safety, and performance. You will define and own the Agent Platform and AI agents evaluation to measure, benchmark, and improve agentic systems across Docusign. Working cross-functionally with Engineering, Applied AI, Design, and GTM teams, you will define how Docusign measures, and continuously improves the agentic AI systems across the Intelligent Agreement Management platform. Your mission is to make Docusign’s AI systems reliable, measurable, and enterprise-grade, unlocking autonomous agreement workflows at scale. This position is an individual contributor role reporting to the Director, Product Management. Responsibility Own product vision and strategy for AI platform and Agent evaluation within the IAM platform Lead AI platform initiatives to drive AI observability and improve AI agents quality Partner cross-functionally with Engineering, Applied AI, Data, and other PMs to deliver cohesive agentic experiences Engage with customers to understand how they leverage and assess AI agents today—and where the experience needs to evolve Measure success with a data-driven mindset, instrumenting key workflows and iterating based on usage and insights 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 12+ years of experience in Product Management 5+ years of experience in enterprise SaaS software BS or MS in Computer Science, Engineering, or a related technical field Experience in building enterprise-grade AI-powered experiences and AI agent products Experience defining metrics, AI evaluation systems, or experimentation frameworks Proven ability to lead cross-functional collaboration across product, engineering, design team Preferred MBA Experience with AI platform product management Familiarity with agreement lifecycle management, legal tech, or document platforms Experience with document management systems Customer-first mindset with experience leveraging qualitative and quantitative feedback Wage Transparency 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: $186,100.00 - $300,550.00 base salary This role is also eligible for the following: Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales 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). Global benefits provide options for the following: 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 life-changing 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 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 [email protected]. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [email protected] for assistance. Applicant and Candidate Privacy Notice 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 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. EEO Know Your Rights poster #LI-Hybrid

Basic 12+ years of experience in Product Management 5+ years of experience in enterprise SaaS software BS or MS in Computer Science, Engineering, or a related technical field Experience in building enterprise-grade AI-powered experiences and AI agent products Experience defining metrics, AI evaluation systems, or experimentation frameworks Proven ability to lead cross-functional collaboration across product, engineering, design team Preferred MBA Experience with AI platform product management Familiarity with agreement lifecycle management, legal tech, or document platforms Experience with document management systems Customer-first mindset with experience leveraging qualitative and quantitative feedback

As a Lead Product Manager for Agentic AI Platform, you will lead the AI Agent Platform and AI Agent evaluation within the Intelligent Agreement Management (IAM) platform—making it smarter, more relevant, and agreement-centric. This role is focused on unlocking the power of AI agents by building a next-generation, agentic fabric and AI agent evaluation experience that helps customers accelerate agreement lifecycle. Docusign’s Agentic AI platform powers Docusign’s next-generation experiences like Iris chat (conversational AI), enabling multi-step autonomous workflows through agent orchestration, AI agents and tools. As we shift from deterministic systems to probabilistic, multi-step agents, success depends not just on building agentic systems—but on proving their quality, safety, and performance. You will define and own the Agent Platform and AI agents evaluation to measure, benchmark, and improve agentic systems across Docusign. Working cross-functionally with Engineering, Applied AI, Design, and GTM teams, you will define how Docusign measures, and continuously improves the agentic AI systems across the Intelligent Agreement Management platform. Your mission is to make Docusign’s AI systems reliable, measurable, and enterprise-grade, unlocking autonomous agreement workflows at scale. This position is an individual contributor role reporting to the Director, Product Management. Responsibility Own product vision and strategy for AI platform and Agent evaluation within the IAM platform Lead AI platform initiatives to drive AI observability and improve AI agents quality Partner cross-functionally with Engineering, Applied AI, Data, and other PMs to deliver cohesive agentic experiences Engage with customers to understand how they leverage and assess AI agents today—and where the experience needs to evolve Measure success with a data-driven mindset, instrumenting key workflows and iterating based on usage and insights

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