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Glade in Menlo Park, CA, is seeking a seasoned Staff Software Engineer to lead and mentor a growing product engineering team. This role involves shaping the architecture and culture of a rapidly scaling company that leverages AI for smarter operations in various industries.
The ideal candidate has over 8 years of experience, strong leadership skills, and a thorough understanding of technologies like TypeScript, React, Node.js, and PostgreSQL. A competitive salary and significant equity grants are offered.
Location: Menlo Park, CA (Hybrid)
Employment Type: Full-Time
Compensation: Competitive salary + meaningful equity grants
Glade.ai is building the next generation of AI-driven automation to help service businesses operate smarter, faster, and more efficiently. Our platform automates workflows, streamlines processes, and enables teams to scale without friction — empowering industries like legal, insurance, and professional services to focus on what matters most: delivering value to their clients.
We’re looking for a seasoned Staff Software Engineer to serve as a technical leader and mentor for our growing product engineering team. This is a rare opportunity to shape the architecture, engineering culture, and product direction of a rapidly scaling company from the ground up.
You’ll lead a team of software engineers, driving innovation and ensuring the team delivers high-impact, scalable, and elegant solutions.
Put yourself in our shoes. We get over 300+ applicants / week. We want to spend time with the right candidates. During your interview process you will meet at least 3 other engineers and managers within Glade. So putting your best foot forward by building a project related to Glade—a feature, workflow, prototype, or application that shows Glade solving a real legal workflow—is the fastest way to being the right candidate.
You are the right candidate if you:
You are welcome to use AI tools throughout the process—in fact, we expect great engineers to leverage them effectively. However, the final result should not feel like a generic AI-generated demo. It should reflect your taste, judgment, and ability to turn an ambiguous problem into a useful product.