Director Of Engineering, Developer Productivity

Details

Reddit is looking for a Director of Engineering to lead teams building AI-assisted engineering workflows. This role will partner with engineering leaders across infrastructure, developer productivity, security, product engineering, ads, machine learning, and senior technical leadership to make AI-native development safe, measurable, scalable, and effective across Reddit.

Reddit is entering a new era of software development where AI and agentic workflows are changing how code is planned, written, reviewed, tested, and shipped. This role will help build the path for agentic development: flexible enough for teams to experiment, opinionated enough to protect quality, and measurable enough to prove whether AI is increasing delivered value rather than just activity.

Responsibilities

• 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; influence across organizations and create clarity across teams with different priorities and incentives.
• 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, including technical strategy reviews, working groups, training, documentation, rollout plans, and narratives connecting workflow change to business and engineering outcomes.
• 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 while preserving engineering creativity and ensuring security, cost management, privacy, compliance, and operational safety are built into the development lifecycle.
• 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.

Requirements

• 14+ 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, including reasoning about agent workflows, governance, evals, telemetry, code quality, review burden, cost controls, and operational risk.
• Data-driven approach with skepticism of shallow metrics; ability to build measurement systems connecting workflow improvements to business and engineering outcomes.
• Exceptional cross-functional leadership and communication; ability to translate complex technical and organizational change into clear narratives.
• Led meaningful organizational change by shifting behavior across teams.
• Care about engineering quality, operational excellence, and developer experience; balance speed with maintainability and reliability.
• Deliver outcomes rather than status reporting or activity metrics.
• Pragmatic and iterative approach to introducing structure without slowing teams down.

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 & Paid Volunteer Time Off
• Generous Paid Parental Leave