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Glean

AI-powered enterprise search across applications

Software Engineer - AI & Security

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA$140k - $265k /yr

About the Job

Requirements

  • At least 5 years of experience in product engineering.
  • Experience developing enterprise security products.
  • Experience using AI and machine learning in a product.
  • A bachelor's degree in computer science or a related field.
  • Experience building and shipping scalable features across the frontend and backend.
  • Ability to work in a customer-focused, cross-functional environment.
  • A proactive approach to leading, learning, troubleshooting, and taking ownership of small tasks and large features.
  • A user-centric and empathetic approach to product development.
  • Experience authoring REST APIs; OpenAPI experience is a plus.
  • Experience building distributed CRUD-level functionality, ideally with both SQL and NoSQL.
  • Comfort with or desire to master Golang, Java, and TypeScript.
  • Comfortable using AI tools effectively for development.

Responsibilities

  • Oversee greenfield features from inception through implementation, experimentation, launch, and beyond.
  • Provide leadership and mentorship to more junior engineers.
  • Work with designers, product managers, data scientists, and other engineers to understand the problem space and create solutions.
  • Architect data pipelines, AI models, and REST APIs supported by stable, scalable server-side implementations that maximize flexibility for evolving domain requirements.
  • Write robust code that is efficient, readable, maintainable, and testable.

Desired Qualifications

  • OpenAPI experience is a plus.

About the Company

Glean

AI-powered enterprise search across applications

Glean builds an AI-powered search and knowledge assistant that helps employees find information across all of a company's apps and data. Its core product is an enterprise search tool that understands natural language queries and retrieves relevant results from documents, conversations, tickets, and other sources, plus a chat assistant that can summarize and answer questions using that same information. The system uses deep learning language models that adapt to a company's own terminology and context, improving relevance without manual tuning, and it offers hosting options to align with security and data policies. Compared with competitors, Glean focuses on cross-application search, organization-specific language learning, and a combined search-and-chat experience that delivers direct answers and summaries from internal knowledge sources. Its goal is to help teams work faster by turning scattered information into easily accessible answers, reducing time spent searching.

Company size
1,001-5,000
Company stage
Series F
Total funding
$805M
Headquarters
Palo Alto, CA
Founded
2019

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