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Gleanwork is looking for a Software Engineer to join their Platform Infrastructure team in San Francisco. You will be responsible for automating customer setup and deployment across various cloud environments. Ideal candidates will have over 4 years of software engineering experience, particularly in cloud and platform roles. The position offers a hybrid work model with fabulous compensation and benefits.
You will collaborate with multiple teams to enhance deployment workflows and contribute to a fast-paced productized environment.
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 is measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Glean is seeking a Software Engineer to join our Platform Infrastructure team. This team focuses on customer setup and deployment, especially in complex cloud, hosting, and security environments. You will help build the systems that bootstrap cloud accounts and projects, wire authentication, and turn deployment workflows into reliable, repeatable productized experiences for customers. This is a strong fit for an engineer who enjoys cloud infrastructure, networking, infrastructure as code, and solving real-world deployment problems with clean software abstractions.
The standard base salary range for this position is 200,000 – 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 stipend 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’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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.
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.