Senior Engineering Manager, Developer Productivity

Details

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.

We are looking for a Senior Engineering Manager, Agents & Developer Productivity to lead teams building AI-assisted engineering workflows. This role will partner with engineering leaders in 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.

Who We Are

The Developer Productivity organization builds the platforms, systems, and workflows that enable Reddit engineers to develop, test, review, deploy, and operate software safely and efficiently at scale. We work across infrastructure, AI tooling, developer environments, CI/CD, observability, code review, and software delivery systems to reduce friction, improve engineering effectiveness, and help teams focus on delivering impact for Reddit users.

As AI and agentic workflows reshape software development, Developer Productivity is helping define how Reddit builds software in the future. We are creating the foundations for AI-native engineering: scalable platforms for LLM access and evaluation, safe agent workflows, intelligent development environments, and measurement systems that help teams understand whether new tools are improving outcomes, not just increasing activity. We partner closely with engineering teams across Reddit to build paved paths that support experimentation while maintaining the quality, reliability, security, and operational standards required to run Reddit at scale.

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.
• 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.
• 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 (technical strategy reviews, working groups, training, documentation, rollout plans) to bring engineers and leaders along for workflow changes.
• Build and operationalize measurement systems that distinguish real productivity from vanity metrics and 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 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 (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.
• Experience managing 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.
• Understanding of AI and LLM-enabled software development beyond personal productivity, including agent workflows, governance, evals, telemetry, code quality, review burden, cost controls, and operational risk.
• Highly data-driven, with experience building measurement systems that connect workflow improvements to business and engineering outcomes.
• Exceptional cross-functional leadership and communication skills; ability to bring people together and translate complex technical and organizational change into clear narratives.
• Experience leading meaningful organizational change (not just technical delivery) to shift behavior across teams.
• Strong attention to engineering quality, operational excellence, and developer experience while balancing speed with maintainability and reliability.
• Pragmatic and iterative approach to introducing 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 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

Pay Transparency

The base salary range for this position is: $232,500 - $325,500 USD

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Reddit offers a wide range of benefits to U.S.-based employees. Interview recordings/transcriptions by AI may be used in select roles/locations with opt-out available.