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.

Role overview

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.

Responsibilities

• Lead and grow high-performing engineering teams focused on AI-native developer productivity, fostering 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.
• 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 to move teams 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 support adoption and change management.
• Build and operationalize measurement systems that distinguish real productivity from vanity metrics; 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 to ensure security, cost management, privacy, compliance, and operational safety are built into the development lifecycle.
• Use technical judgment to 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

• 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 cross-functional dependencies and executive visibility.
• 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 reasoning about agent workflows, governance, evals, telemetry, code quality, review burden, cost controls, and operational risk.
• Highly data-driven mindset and experience building measurement systems that connect workflow improvements to business and engineering outcomes.
• Strong cross-functional leadership and communication skills; ability to create clarity across organizations and translate complex technical and organizational change into clear narratives.
• Experience leading organizational change and shifting behavior across teams by building confidence and making the desired path easier and more valuable than the status quo.
• Commitment to engineering quality, operational excellence, and developer experience while balancing speed with long-term maintainability and reliability.
• Pragmatic, 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 simultaneously.

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

Pay Transparency

The base salary range for this position is:

$232,500 - $325,500 USD

This job posting may span more than one career level. 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. In select roles and locations, interviews may be recorded, transcribed and summarized by AI; candidates will have the opportunity to opt out of recording/transcription prior to scheduled interviews.