Principal Technical Program Manager, Developer Productivity

About the role

Reddit is seeking a Principal Technical Program Manager to spearhead company-wide initiatives focused on enhancing engineering workflows through AI. This role is crucial in partnering with engineering leadership to ensure AI-driven development is secure, measurable, scalable, and effective across the organization. You will guide Reddit through a significant evolution in software development, driven by AI and agentic workflows.

Key facts

What you'll do

• Guide the development of executable programs for AI-assisted development, covering areas like code review, agent infrastructure, LLM access, evaluation systems, and developer environments.
• Establish the operational framework for AI-native developer productivity, defining adoption paths, risk management, and success measurement.
• Foster company-wide consensus among various engineering and product teams, influencing without direct authority.
• Champion the social and cultural shifts necessary for successful AI-assisted development, building trust and facilitating adoption.
• Create communication and enablement strategies, including forums, documentation, and rollout plans, to guide engineers and leaders through workflow changes.
• Develop measurement systems to quantify real productivity gains, linking workflow improvements to business and engineering outcomes.
• Oversee AI governance and adoption, balancing innovation with security, cost, privacy, and operational safety.
• Apply technical judgment to identify risks, guide trade-offs, and ensure alignment across AI tooling, CI/CD, and development platforms.

Requirements

• A minimum of 14 years of experience in technical program management, engineering, infrastructure, developer tools, platform engineering, AI tooling, or related technical fields.
• Proven experience leading multi-year, multi-organization technical programs with executive visibility and ambiguous ownership.
• Strong understanding of developer productivity systems, including CI/CD, code review, testing, deployment, observability, developer environments, internal platforms, or AI-assisted development.
• Knowledge of AI and LLM-enabled software development, including agent workflows, governance, evaluation, telemetry, code quality, cost control, and operational risk.
• A data-driven approach with the ability to build measurement systems that connect workflow improvements to tangible outcomes.
• Exceptional cross-functional communication and collaboration skills, with the ability to build trust and create clarity across diverse teams.
• Demonstrated experience leading significant organizational change and shifting behavior across teams.
• A results-oriented mindset focused on delivering outcomes rather than just activity.
• Pragmatic and iterative approach to introducing structure and driving adoption.

Nice to have

• Experience leading large-scale developer productivity, platform engineering, infrastructure modernization, or AI tooling programs.
• Familiarity with LLM platforms, AI-assisted development tools, agentic workflows, or AI governance in enterprise engineering.
• Experience developing adoption strategies for internal platforms or developer tools.
• Experience leading cultural transformation or change management programs within engineering organizations.
• Knowledge of engineering productivity frameworks like DORA or SPACE.
• Experience in fast-paced environments with evolving technical strategy and organizational design.

Skills & tools

• Technical Program Management
• AI/LLM Development Workflows
• Developer Productivity Tools
• CI/CD
• Code Review Systems
• Platform Engineering
• Infrastructure
• Data Analysis & Measurement Systems
• Cross-functional Communication
• Change Management

Practical notes

• Base salary range: $260,800 - $365,100 USD.
• Eligible for equity in the form of restricted stock units.
• Comprehensive benefits include healthcare, 401k with match, global benefits, family planning support, gender-affirming care, mental health support, flexible vacation, and generous paid parental leave.
• Interviews may be recorded, transcribed, and summarized by AI; opt-out options will be provided.
• Personal information collected during interviews may include identifiers, professional and employment-related information, and sensory information (audio/video).