Principal Solutions Architect, APIs at Glean

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

250000.0

Posted On

04 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solutions Architecture, AI Models, Agent Development, Technical Writing, Communication, Customer Engagement, Technical Feedback, Collaboration, Product Insights, API Integration, SDK Implementation, Architecture Guides, Demos, Education Programs, Code Samples, Documentation

Industry

Software Development

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: Glean is looking for a Principal Solutions Architect, APIs to help engineers build internal-facing AI chatbots, agents, and search applications. You’ll work closely with customers to implement Glean’s APIs and SDKs, then translate those real-world learnings into best practices for the broader AI engineering community. At Glean, we believe AI apps and agents will live everywhere work happens—and no matter which framework they’re built in, they need to be grounded in enterprise context. That’s why we take an open, interoperable approach, making it simple to bring enterprise data into every AI app and agent. In this role, you’ll help define and communicate that vision. We’re looking for someone who has been hands-on applying LLMs and agent frameworks to business transformation. You’ll play a key role in taking these learnings and educating the market: crafting messaging that resonates, producing deep technical guides, and publishing thought leadership that defines how enterprise AI apps are built. You will: Scale 1:1 API learnings across the customer base by turning real-world use cases and design best practices into architecture guides and turnkey solutions. Cultivate relationships with engineers, technical leaders, and power users—translating their feedback into product insights that strengthen trust and engagement with the Glean platform. Bring embedded integrations to life by building sample UIs and widgets that can be easily embedded across surfaces. Evangelize the “Build on Glean” vision through compelling demos, conference talks, meetups, forums, and customer hackathons that showcase real-world value. Partner cross-functionally with product, engineering, and research teams to translate developer and customer feedback into roadmap priorities and champion the voice of the customer internally. Empower developers to build with Glean’s APIs and SDKs by creating high-quality code samples, documentation, tutorials, how-to guides, and blog posts that simplify onboarding and showcase best practices. About you: 8+ years of experience in outbound solutions architecture, with a strong track record of understanding customer requirements, translating them into architectural best practices, and packaging product solutions to customers. You should also have hands-on experience as an engineer. Deep understanding of AI models, tools and frameworks, and agent development so that you can guide engineering teams in building modern AI solutions. Passion for communication, storytelling, and technical writing. You bring clarity to complexity and make technical ideas feel exciting, relevant, and actionable. Insight into how AI engineers think and work—skilled at reaching them through the right channels, fostering genuine product affinity, and designing education programs that drive real adoption. Empathetic to the engineering experience, with a strategic mindset. You understand how engagement translates into impact and adoption. Strong technical skills. You can code your own demos, evaluate code quality, and provide actionable technical feedback. Technically credible. You’re able to grasp complex concepts quickly and explain them clearly to a range of audiences, from individual engineers to enterprise leaders. Collaborative and influential. You work well across marketing, engineering, and product, helping shape roadmaps based on our customers and the wider community. Location: This is a hybrid position based in our San Francisco or Palo Alto office. You should also be prepared to travel for events and workshops. Compensation & Benefits: The standard base salary range for this position is $200,000 - $250,000 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. #LI-HYBRID

Responsibilities

The Principal Solutions Architect will help engineers build internal-facing AI chatbots, agents, and search applications while translating real-world learnings into best practices. This role involves cultivating relationships with technical leaders and empowering developers to utilize Glean’s APIs and SDKs effectively.