Glean Technologies, Inc.
Glean is the Work AI platform connected to your enterprise's data. Find, create, and automate anything. Explore what Work AI can do for you!
- Open roles
- 172
- New role every
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Job facts
- Location
- Mountain View, CA
- Department
- Engineering
- Posted
- May 13, 2026
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Software Engineer, AI Infrastructure
at Glean Technologies, Inc.
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:
Glean is looking for software
engineers to help build the world's best search and assistant product for
work. Our engineers work on a range of systems across the stack, including
generative AI, RAG, query understanding, document understanding, domain-
adapted language models, natural language question-answering, evaluation, and
experimentation. We interact regularly with customers, deeply understand their
pain points, and use whatever tool is necessary, simple or complex, to solve
their problems.
You
will:
- Design, build, and improve AI/ML systems and data pipelines infrastructure, including platforms that power large language model serving, routing, and orchestration at scale.
- Work with and enable other engineers focused on modeling and Agentic capabilities
- Build agentic systems that leverage AI to proactively monitor, diagnose, debug and maintain infrastructure health at scale across cloud deployments
- Write robust code that's easy to read, maintain, and test
- Mentor more junior engineers, or learn from battle-tested ones
About you:
- 2-5 years of experience
- BA/BS in computer science, math, sciences, or a related degree
- Proven ability to design, build, and ship production-ready software, ideally around AI/ML infrastructure (Batch processing pipelines, Serving infrastructure, LLM orchestration etc.)
- Strong coding skills (Python, Go, Java)
- Thrive in a customer-focused, tight-knit and cross-functional environment — being a team player and willing to take on whatever is most impactful for the company is a must
- A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features
Location:
- This role is hybrid (3-4 days a week in one of our Bay Area offices)
Compensation & Benefits:
The standard base salary range for this position is $175,000
- $270,000 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 offer a comprehensive
benefits package including competitive compensation, Medical, Vision, and
Dental coverage, generous time-off policy, and the opportunity to contribute
to your 401k plan to support your long-term goals. When you join, you'll
receive a home office improvement stipend, as well as an annual education and
wellness stipends to support your growth and wellbeing. We foster a vibrant
company culture through regular events, and provide healthy lunches daily to
keep you fueled and focused.
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.
#LI-HYBRID
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're
committed to ensuring every new hire feels confident integrating AI into their
everyday work. 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. Feel free to
reference any tools, platforms, or workflows you use today — prior Glean
experience isn't required.
Global Data Privacy Notice for Job Candidates and
Applicants:
Depending on your
location, the General Data Protection Regulation (GDPR), California Consumer
Privacy Act (CCPA), or other privacy laws may regulate the way we manage the
data of job applicants. Our full notice outlining how data will be processed
as part of the application procedure for applicable locations is available in
our Privacy
Policy. By submitting your application, you are agreeing to our
use and processing of your data as required. US applicants and their
applications are subject to arbitration of disputes as outlined in our Applicant
Arbitration Agreement.
By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.