Senior Engineering Manager, Developer Productivity
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Compensation
Salary & market context
211% above the BLS national median
BLS national median: $74,680
- $325,500
- 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.
Requirements
Top requirements
- You have 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.
- You have managed high-performing engineering teams delivering large-scale technical platforms or infrastructure with executive visibility and cross-functional dependencies. You are comfortable operating with senior leaders while still engaging deeply in technical and operational details.
- You have deep fluency in developer productivity systems: CI/CD, code review, testing, deployment, observability, developer environments, internal platforms, or AI-assisted development workflows.
- You understand AI and LLM-enabled software development beyond personal productivity. You can reason about agent workflows, governance, evals, telemetry, code quality, review burden, cost controls, and operational risk.
Perks & setup
Benefits candidates care about
- s:
- 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
Why candidates care
Benefits & perks
- s:
- 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
Start here
Requirements
- You have 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.
- You have managed high-performing engineering teams delivering large-scale technical platforms or infrastructure with executive visibility and cross-functional dependencies. You are comfortable operating with senior leaders while still engaging deeply in technical and operational details.
- You have deep fluency in developer productivity systems: CI/CD, code review, testing, deployment, observability, developer environments, internal platforms, or AI-assisted development workflows.
- You understand AI and LLM-enabled software development beyond personal productivity. You can reason about agent workflows, governance, evals, telemetry, code quality, review burden, cost controls, and operational risk.
- You are highly data-driven, but skeptical of shallow metrics. You know how to build measurement systems that connect workflow improvements to business and engineering outcomes.
- You are an exceptional cross-functional leader and communicator. You bring people together, create clarity across organizations, build trust across functions, and translate complex technical and organizational change into clear narratives for engineers, managers, executives, and cross-functional partners.
- You have led meaningful organizational change, not just technical delivery. You know how to shift behavior across teams by listening to concerns, building confidence, and making the desired path easier and more valuable than the status quo.
- You care deeply about engineering quality, operational excellence, and developer experience, and you know how to balance speed with long-term maintainability and reliability.
Responsibilities
What you'll do
- You will lead teams across Reddit's Developer Productivity and AI portfolio, spanning agent infrastructure, AI-assisted code review, developer environments, LLM governance, developer tooling, AI workflow measurement, and software delivery automation. You will partner deeply with engineering teams as a technical leader, balancing execution, organizational alignment, technical quality, and long-term platform strategy.
- In this role, you will:
- Lead and grow high-performing engineering teams focused on AI-native developer productivity, fostering a culture of technical excellence, ownership, inclusion, and continuous improvement.
- Partner with Developer Productivity and Infrastructure leaders to 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 that enable safe and effective experimentation at scale.
- Drive alignment across infrastructure, developer experience, reliability, security, compliance, product engineering, machine learning, and executive stakeholders. You will influence across organizations and create clarity across teams with different priorities and incentives.
- 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 that bring engineers and leaders along for the journey, including technical strategy reviews, working groups, training, documentation, rollout plans, and clear narratives that connect workflow change to business and engineering outcomes.
Role snapshot
About the role
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. For more information, visit www.redditinc.com .
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.
Reddit is entering a new era of software development. AI and agentic workflows are changing how code is planned, written, reviewed, tested, and shipped. Used well, these tools can help engineers move faster with higher confidence. Used poorly, they can increase complexity, review burden, operational risk, and cost. This role will help Reddit build the path for agentic development: flexible enough for teams to experiment, opinionated enough to protect quality, and measurable enough to prove whether AI is increasing delivered value rather than just activity. Just as importantly, this role will help bring teams along for that change, building trust in new workflows and helping Reddit evolve how we build software together.
Who We Are
More detail
Nice to have
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- 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.
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