Software Engineer, Developer Productivity

About Glean:   Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.   At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.   Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.   If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.

About the Role:

We are looking for a Software Engineer, Developer Productivity to shape the way our engineers build, test, and ship software. Our codebase is large and multi-language, powered by Bazel, with pipelines running on GitHub Actions and cloud remote execution.

In this role, you will design and optimize build systems, CI/CD pipelines, and developer tooling, while also enabling engineers to effectively leverage AI-powered coding and productivity tools. Your work will reduce friction in everyday workflows, scale our infrastructure, and help the entire engineering team move faster with confidence.

You will: 

Build Systems & Tooling

• Develop and maintain our Bazel monorepo with support for multiple languages.
• Improve build hermeticity, caching, reproducibility, and dependency management.
• Extend Bazel with custom rules, macros, and integrations.

CI/CD Engineering

• Operate and optimize pipelines on GitHub Actions, Kubernetes, and cloud runners.
• Reduce CI latency through remote execution, caching, and parallelization.
• Instrument pipelines with telemetry and dashboards to measure speed, reliability, and cost.

Developer Enablement

• Build tools and workflows (CLI utilities, IDE plugins, GitHub bots) that improve day-to-day developer experience.
• Automate debugging of flaky tests and CI failures.
• Simplify onboarding and local dev environments.

AI Adoption & Productivity

• Enable engineers to integrate AI-powered coding assistants (e.g. GitHub Copilot, Cursor, Claude) into daily workflows.
• Build agentic tooling that automates CI failure analysis, PR triage, and code review support.
• Collect usage insights, build dashboards, and iterate on adoption strategies to maximize developer ROI from AI.

Additionally

• You’ll work on critical build and CI/CD systems that touch every engineer’s workflow.
• You’ll have a direct impact on the speed, reliability, and cost of software delivery.
• You’ll be at the frontier of AI adoption in engineering teams, shaping how humans and AI collaborate in development.
• You’ll have opportunities to contribute to open source (Bazel, rules projects, CI tooling) and share learnings at conferences