Glean Technologies, Inc.
Software Engineer, University Grad
Glean Technologies, Inc., Palo Alto, California, United States, 94306
Overview
Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The companys cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jains deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. About the Role
We are seeking highly motivated and creative graduates to join our team in various software engineering roles: Backend Engineer, Product Engineer, and ML Engineer. As a University Graduate Software Engineer, you will participate in designing, developing, and maintaining software solutions that power our products and services. Team placements will be made at the end of the process based on interest and open roles. You will
Own impactful infrastructure problems from inception and architecture to production launch Write well thought out design documents and ship robust, high-quality, well-tested code Work collaboratively with a strong team to identify the most impactful projects we should be prioritizing in our roadmap Mentor more junior engineers and learn from experienced ones You are
Undergraduate/graduate degree in Computer Science, or related degree - degree must be completed before joining Experience working on infrastructure for distributed systems or cloud-native applications Experience building and shipping ML models and/or solving NLP problems A team player who thrives in a fast-paced, customer-focused environment, with a passion for learning and staying current with industry trends Location
This role is hybrid (3-4 days a week in our Palo Alto or San Francisco office) Compensation and Benefits
The standard base salary range for this position is $140,000 - $150,000 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. Diversity and Equal Opportunity
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. Apply for this job
Interested in building your career at Glean? Get future opportunities sent straight to your email. Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Any information that you do provide will be recorded and maintained in a confidential file. We do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr
Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The companys cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jains deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. About the Role
We are seeking highly motivated and creative graduates to join our team in various software engineering roles: Backend Engineer, Product Engineer, and ML Engineer. As a University Graduate Software Engineer, you will participate in designing, developing, and maintaining software solutions that power our products and services. Team placements will be made at the end of the process based on interest and open roles. You will
Own impactful infrastructure problems from inception and architecture to production launch Write well thought out design documents and ship robust, high-quality, well-tested code Work collaboratively with a strong team to identify the most impactful projects we should be prioritizing in our roadmap Mentor more junior engineers and learn from experienced ones You are
Undergraduate/graduate degree in Computer Science, or related degree - degree must be completed before joining Experience working on infrastructure for distributed systems or cloud-native applications Experience building and shipping ML models and/or solving NLP problems A team player who thrives in a fast-paced, customer-focused environment, with a passion for learning and staying current with industry trends Location
This role is hybrid (3-4 days a week in our Palo Alto or San Francisco office) Compensation and Benefits
The standard base salary range for this position is $140,000 - $150,000 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. Diversity and Equal Opportunity
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. Apply for this job
Interested in building your career at Glean? Get future opportunities sent straight to your email. Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Any information that you do provide will be recorded and maintained in a confidential file. We do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr