Tech Lead Manager (Full Stack) -- AI Assistant Product

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:

We’re seeking a Tech Lead Manager to drive fullstack product and product infrastructure development for Glean’s Generative AI products. As a TLM, you’ll provide expert technical direction and thoughtful coaching to a passionate team of engineers. This team will work closely with product management, design, and data science to drive the Glean Assistant to the next generation of capabilities, features, performance and enterprise readiness. At the same time, it architects powerful, elegant abstractions that enable multiple teams working on Generative AI features to contribute safely and easily to the codebase.

You will:

• Build a high-performing team with an inclusive and positive team culture.
• Work hands-on in making technical changes.
• Provide technical leadership and vision in a widely scoped engineering team.
• Drive the development of the product and platform in a fast-paced environment.
• Plan for headcount, iterate on interview processes, and close candidates to help grow the team.
• Coach and mentor engineers at different levels to achieve their career goals.

About you:

• 8 years of engineering with 1 years of engineering management experience.
• Experience building delightful web products full stack from frontend, APIs, backend.
• Proficiency in recruiting, organizing, and motivating teams
• Passionate about helping people grow in their careers and people management.
• An owner mindset and passionate about being in a product-focused environment where everyone cares deeply about customer impact.
• Expertise in React, Typescript, Golang, SQL, GCP, and AWS are highly desirable.
• Experience with or desire to learn large language models, retrieval augmented generation, and agents is beneficial.

Location:

• This role is hybrid (3 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

The standard base salary range for this position is $200,000 - $300,000 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.