Lead Product Manager, Agentic AI Platform

DocuSign; San Francisco (CA); On-site; USD 177,900 - 287,425; Full time

Benefits offered by this job

Health Benefits

Paid Time Off

Learning and Development

Paid Parental Leave

Retirement Plans

Compassionate Care Leave

Job summary

DocuSign in San Francisco is seeking a Lead Product Manager to spearhead the Agentic AI Platform. The role involves leading AI platform initiatives, defining product vision, and enhancing the evaluation of AI agents. Ideal candidates will have over 12 years of product management experience and a strong background in enterprise SaaS software. The position offers a hybrid work model and competitive compensation, with salaries ranging from $177,900 to $287,425, alongside additional benefits and incentives.

Qualifications

• 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.
• Proven ability to lead cross‑functional collaboration across product, engineering, design team.

Responsibilities

• 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.
• Measure success with a data‑driven mindset, instrumenting key workflows and iterating based on usage and insights.

Job description

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in more than 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.

Responsibilities

• 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—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)

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

Benefits and Compensation

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. California: $177,900.00 - $287,425.00 base salary. This role is also eligible for variable incentive pay, a company bonus plan, Restricted Stock Units (RSUs), and global benefits such as Paid Time Off, Paid Parental Leave, Health Benefits, Retirement Plans, Learning and Development, and Compassionate Care Leave.

Legal

States Not Eligible for Employment: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

Equal Opportunity Employer: 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.