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Mastercard seeks a Director, Product Management – Technical to define the long-range vision and roadmap for the Developer Workbench, a platform powering 11,500 engineers across the company. You will shape strategy, drive execution, and partner across engineering, security, finance, and leadership to align investments with business impact.
You will champion AI-augmented development, establish governance and success metrics, and lead multi-year epics, features, and user stories.
Deep understanding of the modern developer tooling ecosystem, including:Strong financial acumen — experience managing budgets, building cost transparency models, and articulating ROI to executive stakeholdersExperience with software development productivity metrics (e.g., DORA metrics, onboarding time, tool adoption rates) and using data to drive decisionsExcellent written and verbal communication skills with the ability to tailor messaging from engineers to C-suiteSignificant experience in Technical Product Management for large scale, distributed, high availability systemsCI/CD and pipeline tooling: GitHub Actions, Jenkins, ArgoCD, or similarSelf-driven and comfortable leading in ambiguous, fast-evolving technology environmentsProven ability to lead complex initiatives and influence senior stakeholders across a matrixed organizationDefine epics, features, and user stories with clear outcomes and success metricsStrong understanding of developer experience (DevEx) principles and the ability to translate developer pain points into platform improvementsRoadmap & Execution Ownership: Own and manage multi year product roadmaps, including near term delivery and long term modernization initiativesAI coding assistants: GitHub Copilot, Claude Code or similarContainerization and desktop dev environments: Docker Desktop, Kubernetes, DevContainersDemonstrated ability to drive tool adoption through structured enablement programs, metrics, and feedback mechanismsAbility to navigate complex organizational dynamics and build alignment across engineering, finance, security, and product organizationsExperience building product strategies informed by data, telemetry, adoption metrics, and customer feedbackEvaluate trade offs between new capabilities, technical sustainability, ecosystem impact, and operational riskStrong understanding of Agile/Scrum methodologies and SDLC best practices from design through deploymentDevContainersExperience governing AI-powered developer tools in a highly regulated enterprise environment, including policy compliance, access controls, and responsible AI usageDeveloper portals and inner-source platforms: Backstage, or similarSolid understanding of cloud platforms (AWS, Azure, GCP), including infrastructure automation and cloud-native development patternsStrong understanding of software engineering, cloud platforms, DevOps, CI/CD, APIs, and developer toolingExperience with internal developer platforms, developer portals, and engineering productivity productsFamiliarity with GitHub Copilot, Claude Code, AI-assisted development workflows, and cloud-native platforms