Lead Software Engineer, Product Backend

Glean Glean · Enterprise · Mountain View, CA · Engineering

Lead Software Engineer for Glean's Work AI platform, focusing on developing and launching new user-facing features that incorporate AI. This role involves full feature ownership from ideation to launch, architecting APIs, writing robust backend code, and mentoring junior engineers. The company emphasizes AI fluency and building agentic capabilities on a secure, open platform.

What you'd actually do

  1. Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond
  2. Revolutionize the current experience by incorporating AI into the product
  3. Provide leadership and mentor more junior engineers
  4. Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions
  5. Architect REST APIs that are backed by stable, scalable server side implementations and maximize web client flexibility for rapidly meeting evolving product requirements

Skills

Required

  • 5+ years of experience in product engineering
  • 2 years as a TL/M
  • Experience of building and shipping scalable features across frontend and backend
  • Thrive in a customer-focused, tight-knit and cross-functional environment
  • A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features
  • A user-centric and empathetic mentality for building products
  • Experience building distributed CRUD level functionality, ideally both SQL and NoSQL
  • Comfortable in or desire to master Golang, Java and TypeScript

Nice to have

  • Experience on a consumer grade web app frontend, preferably React based
  • Love authoring easy-to-hold and future-proof REST APIs, OpenAPI is a plus

What the JD emphasized

  • Revolutionize the current experience by incorporating AI into the product
  • ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust
  • As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role.

Other signals

  • AI Assistant
  • AI agents
  • Work AI platform
  • Enterprise Graph
  • Personal Knowledge Graph
  • agentic capabilities