Director of Engineering, Developer Productivity

Details

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

The Developer Productivity organization builds platforms, systems, and workflows that enable Reddit engineers to develop, test, review, deploy, and operate software safely and efficiently at scale. Its work spans infrastructure, AI tooling, developer environments, CI/CD, observability, code review, software delivery systems, LLM access and evaluation, safe agent workflows, and engineering effectiveness measurement.

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 covering 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 operating models 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 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 technical strategy reviews, working groups, training, documentation, rollout plans, and communication mechanisms to support workflow changes.
• Build measurement systems that distinguish real productivity from vanity metrics, including 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 addressing security, cost management, privacy, compliance, and operational safety.
• Guide architectural tradeoffs across AI tooling, CI/CD, code review, deployment 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.
• 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, including CI/CD, code review, testing, deployment, observability, developer environments, internal platforms, or AI-assisted development workflows.
• Understanding of AI- and LLM-enabled software development, including agent workflows, governance, evaluations, telemetry, code quality, review burden, cost controls, and operational risk.
• Strong data-driven approach and experience building measurement systems that connect workflow improvements to business and engineering outcomes.
• Exceptional cross-functional leadership and communication skills, with the ability to build trust and translate complex technical and organizational changes for engineers, managers, executives, and cross-functional partners.
• Experience leading organizational change and shifting behavior across teams.
• Strong focus on engineering quality, operational excellence, developer experience, maintainability, and reliability.
• Pragmatic and iterative approach to introducing structure and driving adoption through value.

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 or SPACE.
• Experience working in fast-moving environments where technical strategy, organizational design, and execution mechanisms evolve concurrently.

Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401(k) with employer match.
• Global benefits programs supporting workspace, professional development, and caregiving.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
• Equity in the form of restricted stock units; depending on the position offered, the role may also be eligible for commission.

Additional Information

This job posting may span more than one career level. Reddit provides base salary ranges for U.S.-based job postings. Final offer amounts depend on factors including skills, depth of work experience, and relevant licenses or credentials. In select roles and locations, interviews may be recorded, transcribed, and summarized by artificial intelligence, with an opportunity to opt out.

Reddit is an equal opportunity employer committed to reasonable accommodations for qualified individuals with disabilities and disabled veterans.