Senior Engineering Manager, Developer Productivity

Details

Reddit is building AI-native development platforms and workflows to help engineers plan, write, review, test, and ship software safely and efficiently. This role leads teams in Developer Productivity focused on agent infrastructure and AI-assisted engineering workflows, partnering across infrastructure, security, product engineering, ads, machine learning, and senior technical leadership to make AI-native development measurable, safe, and scalable.

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 cross-functional alignment with 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 (strategy reviews, working groups, training, documentation, rollout plans) to bring engineers and leaders along for workflow changes.
• Build and operationalize measurement systems distinguishing real productivity from vanity metrics; partner with engineering and data teams on 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 integrated 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 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 mindset with experience building measurement systems that connect workflow improvements to business and engineering outcomes.
• Exceptional cross-functional leadership and communication skills; ability to create clarity across organizations and translate complex technical and organizational change into clear narratives.
• Experience leading meaningful organizational change (not just technical delivery) and shifting behavior across teams via listening, building confidence, and lowering friction to adoption.
• Strong focus on engineering quality, operational excellence, and developer experience; ability to balance 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 evolve rapidly.

Benefits

• Comprehensive healthcare benefits and income replacement programs
• 401(k) with employer match
• Global benefit programs (workspace, professional development, caregiving support)
• Family planning support
• Gender-affirming care
• Mental health & coaching benefits
• Flexible vacation & paid volunteer time off
• Generous paid parental leave

Pay Transparency

• Base salary range (US): $232,500 - $325,500 USD
• Role may be eligible for equity (restricted stock units) and, depending on position, commission
• Additional benefits and US-based insurance/401(k) offerings described in posting

Privacy / Interview Data

• In select roles and locations, interviews may be recorded, transcribed, and summarized by AI. Candidates can opt out prior to scheduled interviews. The posting describes categories of personal information collected during interviews and refers to Reddit's Candidate Privacy Policy.