Software Engineer, University Grad Job at Glean, Palo Alto, CA

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  • Glean
  • Palo Alto, CA

Job Description

About Glean:


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 company’s 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 Jain’s 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

Are you a recent university graduate with a passion for software engineering and a desire to make a difference in the tech world? 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

  • Strong coding skills (e.g., Go, Python, Java, Javascript, or C++) with solid understanding of data structures, algorithms, and software design principles

  • 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)

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.

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.

Job Tags

Full time, Work at office, Home office, 3 days per week,

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