Startup Hiring Index · threadangellabs
Glean › Engineering

Software Engineer

Glean · Mountain View

Pay
$187K–$234K
From the posting
Posted
Oct 23, 2026
Tracked open for 4 days
Team
Engineering
Full-time
Glean hiring
131 open roles
50 in engineering
PythonPyTorchC++
Apply on Glean's site → Alert me about roles like this

Typical software engineer pay at startups: $221K median, middle half $188K–$256K (2,406 posted ranges).

Typical engineering pay at Glean: $185K–$270K — median of 35 listed ranges.

Across all startups we track: $170K–$242K for engineering roles (8,046 listed ranges).

About the role

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. You'll be 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 Technologies, Inc. has multiple positions available for a Software Engineer. As a Software Engineer, you will help build a software-based platform that can scale indefinitely, including scalable enterprise search solutions. You will work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that meet customer needs.

What You Will Do

  • Build large-scale, fault-tolerant distributed systems, preferably with knowledge of performance benchmarking tools and performance tuning on Linux-based systems.

  • Perform thorough code reviews for peers, including interface design, code quality, and testing strategies.

  • Understand customer requirements and implement them in our solution.

  • Work closely with the company’s product teams to understand customer requirements and ensure features satisfy those requirements and are delivered effectively and with high quality.

  • Implement data ingestion pipelines to retrieve data from enterprise data sources and build a secure search index over that data using C++, Java, Python, or Go.

  • Design and implement user interfaces that enterprise workers use to search enterprise content, and design an API to build other search-based applications.

Who You Are

  • You have a Master's degree in Computer Science, Computer Engineering, Engineering, or a closely related field. Any suitable combination of education, training and experience is acceptable.
  • You have experience working on infrastructure for distributed systems or cloud-native applications, or experience building full-stack applications that span front-end, REST APIs, and application server, or experience training and productionizing machine learning, or information retrieval systems.
  • You have experience with C++.

  • You have experience with Java.

  • You have experience with Python.

  • You have experience with Go.

  • You have experience with JavaScript.

  • You have experience with Distributed Systems.

  • You have experience with Machine Learning.

  • You have experience with PyTorch.

  • You have experience with CI/CD Pipelines.

  • You have experience with GCP.

 

Location: Mountain View, CA. Telecommuting is an option.

 

Compensation & Benefits

The standard base salary range for this position is $187,075 - $234,000 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.

 

Submit a resume with references using the apply button on this posting or by email at:
jobs@glean.com at Req.# L25-163426.

 

#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.  

From Glean's careers page. First seen Oct 23, 2026, last verified Oct 25, 2026.

Glean hiring momentum

Open roles: 131, up 2 (+2%) over the last 30 days.

Jul 15, 2026 · 128Oct 25, 2026 · 131

More engineering roles at Glean

Glean · Mexico City, Mexico · Engineering · 3d ago
Apply →
Glean · São Paulo, Brazil · Engineering · 3d ago
Apply →
Glean · Mountain View, CA · Engineering · 3d ago
$200K–$260K Apply →
Glean · San Francisco Bay Area · Engineering · 4d ago
$140K–$265K Apply →
Glean · Mountain View, CA · Engineering · 4d ago
$215K–$279K Apply →
Glean · Mountain View, CA · Engineering · 4d ago
$187K–$234K Apply →

All 50 Glean engineering jobs →

Similar roles at other startups

Temporal · United States (Remote) · Engineering · today
$118K–$194K Apply →
Neuralink · Austin, Texas, United States; South San Francisco, California, United States · Engineering · today
$123K–$216K Apply →
Astranis · San Francisco · Engineering · today
$130K–$165K Apply →
Celonis · Tokyo, Japan · Engineering · today
Apply →
Smartsheet · Bangalore, INDIA · Engineering · today
Apply →
Wayve · Sunnyvale, California USA · Engineering · today
$348K–$403K Apply →

Browse engineering jobs →