Senior Engineering Manager, Developer Productivity

What You'll Do

You will lead teams across Reddit's Developer Productivity and AI portfolio, spanning agent infrastructure, AI-assisted code review, developer environments, LLM governance, developer tooling, AI workflow measurement, and software delivery automation. You will partner deeply with engineering teams as a technical leader, balancing execution, organizational alignment, technical quality, and long-term platform strategy.

In this role, you will:

• Lead and grow high-performing engineering teams focused on AI-native developer productivity, fostering a culture of technical excellence, ownership, inclusion, and continuous improvement.
• Partner with Developer Productivity and Infrastructure leaders to translate strategy into scalable platforms and engineering roadmaps across code review, agent infrastructure, self-service LLM access, evaluation and observability systems, development environments, and safe agent workflows across the software development lifecycle.
• Define and evolve the operating model for AI-native software development, including paved paths, platform adoption strategies, governance models, and engineering standards that enable safe and effective experimentation at scale.
• Drive alignment across infrastructure, developer experience, reliability, security, compliance, product engineering, machine learning, and executive stakeholders.
• Build engineering systems and organizational processes that help teams move from experimentation to durable adoption of AI-assisted workflows while maintaining quality, reliability, and operational safety.
• Develop communication and enablement mechanisms that bring engineers and leaders along for the journey, including technical strategy reviews, working groups, training, documentation, rollout plans, and clear narratives.
• Build and operationalize measurement systems that distinguish real productivity from vanity metrics. Partner with engineering and data teams to define metrics such as design-to-test time, test-to-launch time, review turnaround, change failure rate, time to restore service, AI-authored code quality, AI-assisted pull request load, migration throughput, and developer satisfaction.
• Drive AI governance and platform adoption in a way that preserves engineering creativity while ensuring security, cost management, privacy, compliance, and operational safety.
• Use technical judgment to challenge assumptions, identify systemic risks, guide architectural tradeoffs, and help teams make pragmatic decisions across AI tooling, CI/CD, code review, deploy automation, developer environments, and production reliability.
• Partner with senior engineering leadership on organizational planning, technical investment strategy, hiring, career development, and long-term platform evolution.

Who You Are

• 10+ years of experience across software engineering, engineering management, infrastructure, developer tools, platform engineering, AI tooling, or related technical domains, including experience leading engineering teams.
• Managed high-performing engineering teams delivering large-scale technical platforms or infrastructure with executive visibility and cross-functional dependencies.
• Deep fluency in developer productivity systems: CI/CD, code review, testing, deployment, observability, developer environments, internal platforms, or AI-assisted development workflows.
• Understand AI and LLM-enabled software development beyond personal productivity. Can reason about agent workflows, governance, evals, telemetry, code quality, review burden, cost controls, and operational risk.
• Highly data-driven, but skeptical of shallow metrics. Build measurement systems that connect workflow improvements to business and engineering outcomes.
• Exceptional cross-functional leader and communicator who brings people together, creates clarity across organizations, and translates complex technical and organizational change into clear narratives.
• Led meaningful organizational change by shifting behavior across teams through listening, building confidence, and making the desired path easier and more valuable.
• Care deeply about engineering quality, operational excellence, and developer experience, balancing speed with long-term maintainability and reliability.
• Deliver outcomes and help teams understand the difference between motion and impact.
• Pragmatic and iterative; introduce structure without slowing teams down.

Preferred Qualifications

• Experience leading developer productivity, platform engineering, infrastructure modernization, or AI tooling teams at large scale.
• Experience with LLM platforms, AI-assisted development tools, agentic workflows, or AI governance in an enterprise engineering environment.
• Experience building internal platforms or developer tools where success depends on trust, usability, reliability, and measurable value.
• Experience leading organizational transformation, platform adoption, or engineering workflow modernization initiatives across large engineering organizations.
• Familiarity with engineering productivity frameworks such as DORA, SPACE, or similar multi-dimensional measurement approaches.
• Experience working in fast-moving environments where technical strategy, organizational design, and execution mechanisms are evolving at the same time.

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation