Lead Product Manager

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. 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).

About the role

Docusign is looking to hire a Lead Product Manager who will own the product strategy for a unified engineering metrics platform that answers the critical question: Is AI adoption actually improving developer productivity? Build a single source of truth connecting AI tool usage, code metrics, deployment velocity, incident management, and code review data. Work with engineering leaders to define what productivity means for your organization, measure it rigorously, and inform AI investment decisions with evidence instead of intuition. This position is an individual contributor role reporting to the Senior Director, Cloud and Production Engineering.

Responsibilities

• Design and own a system that integrates data from multiple sources (source control, CI/CD, code review platforms, incident management, AI tools) into a single, queryable destination
• Ensure the platform is flexible enough to support metric exploration and iteration—not locked into a specific metric definition upfront
• Work with engineering leaders to define what productivity means for your organization
• Conduct interviews and surveys to understand how developers and leaders think about productivity
• Establish baseline measurements before AI adoption
• Identify leading and lagging indicators, test hypotheses, and iterate on metric definitions based on feedback and validation
• Build visibility into the total cost of AI adoption (direct and indirect)
• Create mechanisms to compare productivity changes against cost
• Identify which cohorts, tools, and use cases show highest ROI vs. low/negative ROI
• Surface early warning signals (adoption flat-lining, cost rising without productivity gains, developer dissatisfaction)
• Develop decision frameworks for go/no-go tool adoption and resource allocation
• Work with engineering leaders to align on what productivity means and which metrics matter
• Design dashboards for different audiences (leaders, teams, individuals, executives)
• Build feedback loops to refine metrics based on usage and impact. Surface actionable insights that drive decisions about tooling, process, and budgets
• Build organizational capability and knowledge around AI adoption
• Develop and share best practices for AI tool usage, prompt engineering, code review of AI-generated code, security considerations, and ethical use
• Create learning resources (guides, training, case studies) that help developers use AI effectively
• Facilitate knowledge sharing across teams about what's working and what isn't
• Help the organization move from "we have AI tools" to "we know how to use them well"
• Validate assumptions about AI impact through ongoing feedback and data
• Identify when metrics aren't capturing real productivity shifts or business impact
• Demonstrate willingness to pivot measurement approach
• Conduct regular quarterly reviews to compare cost and productivity trends and identify divergences and adjust strategy

Requirements

• 12+ years of related experience with a Bachelor's degree or 8 years of related experience with a Master's degree in product management, analytics, or technical program management
• Experience building measurement, analytics, or data-driven platforms
• Experience with software engineering practices (CI/CD, code review, incident management)
• Experience with cross-functional leadership and success working with engineering, data, and executive stakeholders
• Experience presenting complex analysis to both engineers and executives

Preferred Qualifications

• Experience with developer tools or engineering productivity measurement
• Exposure to AI tooling or LLM integration
• Background in ROI analysis or business case development
• Comfort with ambiguity and iteration; proven ability to define metrics that drive decisions

Schedule

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)

Pay

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
• Washington, Maryland, New Jersey and New York (including NYC metro area): $178,900.00 - $262,825.00 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).

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 life-changing events