Lead Engineering Productivity & Velocity Manager

Docusign provides intelligent agreement management solutions that help organizations create, commit to, and manage agreements. The Lead Engineering Productivity & Velocity Manager will own a unified engineering metrics platform to measure AI adoption and developer productivity, integrate data sources, and inform tooling and resource-allocation decisions. The role will also develop best practices, learning resources, dashboards, and feedback loops for effective AI tool usage.

Responsibilities:

• Design and own a system that integrates data from multiple sources (source control, CI/CD, code review platforms, incident management, Al 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 Al adoption
• Identify leading and lagging indicators. Test hypotheses. Iterate on metric definitions based on feedback and validation
• Build visibility into the total cost of Al 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 Al adoption
• Develop and share best practices for Al tool usage, prompt engineering, code review of Al-generated code, security considerations, and ethical use
• Create learning resources (guides, training, case studies) that help developers use Al effectively
• Facilitate knowledge sharing across teams about what's working and what isn't
• Help the organization move from "we have Al tools" to "we know how to use them well"
• Validate assumptions about Al 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
• Experience with developer tools or engineering productivity measurement
• Exposure to Al 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