We’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.
We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.
Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same.
We’re backed by some of the Valley’s leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.
Role
The Search Index team develops and manages the robust index infrastructure that powers Glean’s cutting-edge search and retrieval-augmented generation products. Our infrastructure serves queries that search across O(100Ms) of documents, respecting permissions and returning personalized results. Engineers on the Search Index team work on supporting new product use cases, optimizing for cost, and improving the serving latency and reliability of the index to provide a delightful search experience to our users 100% of the time.
What you will do and achieve
- Design and implement features to improve the performance and reliability for mission-critical systems
- Design and conduct experiments to improve search index performance
- Work with a strong team to identify the most impactful projects to execute on
- Mentor more junior engineers
Who you are
- 2+ years of experience
- BA/BS in computer science, or related degree
- Experience working on infrastructure for distributed systems
- Proficient in at least one programming language (preferably Java or Python)
- Bonus points for experience with information retrieval, search indexes (Elastic/OpenSearch, Solr, Lucene), and/or developing systems on GCP/AWS
Benefits
- Competitive compensation
- Medical, Vision and Dental coverage
- Flexible work environment and time-off policy
- 401k
- Company events
- A home office improvement stipend when you first join
- Annual education stipend
- Wellness stipend
- Healthy lunches and dinners provided daily
For California based applicants:
The standard base salary range for this position is $185,000 – $280,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We’re committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
