Senior Director of Engineering, Developer Productivity
Lead MongoDB's Pipeline team within Developer Productivity to unify CI/CD, release systems, and developer experiences into a reliable, scalable, AI-native software delivery platform. Requires 12+ years engineering experience and 6+ years managing distributed teams with strong platform and product judgment.
168k – 330k/yr
Hybrid12+ YOEEngineering Management
About the role
Responsibilities
Own the strategy, execution, and operating model for MongoDB’s end-to-end software delivery pipeline across continuous integration and release enablement functions.
Set portfolio priorities and resource allocation in partnership with leadership and cross-functional stakeholders, balancing urgent delivery needs with long-term platform investments.
Improve the experience of internal engineering users while also raising the bar on reliability, scalability, security, and operational efficiency.
Establish and evolve mechanisms for measuring developer productivity, system health, and business impact across the pipeline portfolio.
Build a healthy, high-performing organization by growing managers, strengthening succession depth, and creating clarity around expectations, accountability, and career development.
Serve as a senior escalation point for critical trade-offs and cross-functional issues, ensuring decisions are aligned to company priorities and understood in terms of their downstream consequences.
Requirements
12+ years of hands-on software engineering experience building and operating production systems.
6+ years of experience managing multiple teams and building a strong bench of leaders in a geographically distributed organization with a track-record of success in hiring, performance management, and fostering a team growth mindset.
Track record of scaling large software systems used by software engineers, ideally including CI/CD, release, or other developer infrastructure platforms with large scale workloads.
Strong judgment across both developer-facing product experience and underlying platform architecture, including user workflows, system reliability, operational insight, and service scalability.
Experience with cloud infrastructure and infrastructure-as-code principles.
Understand how to use telemetry, metrics, and analytics to improve developer productivity and operational health.
Experience or strong familiarity with software supply chain and release concerns, including reliability, security, and operational rigor.
Ability to define strategy and drive execution in ambiguous environments with broad organizational impact, acting as a trusted escalation point for complex technical and organizational trade-offs.
Nice-to-Haves
Experience in developer tooling, platform engineering, observability, or data engineering.
Experience with Kubernetes and AWS.
Leads a large, strategic organization with a positive and inclusive culture while setting a high bar for accountability and execution.
Demonstrates mastery of both verbal and written communication to navigate a global organizational structure that utilizes a mix of synchronous and asynchronous engagement.
Collaborates effectively with leadership and partner teams to coordinate priorities, improve processes, and strengthen MongoDB’s software development ecosystem.
Makes sound decisions on planning, staffing, and organizational structure, and knows when to optimize locally versus for the broader business.
Acts like an owner for MongoDB’s broader engineering success, not just the direct organization they lead.
Skills
CI/CDKubernetesAWStelemetrymetricsAnalyticsInfrastructure As Codesoftware supply chainObservabilityPlatform EngineeringDeveloper Tooling
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