Used Tools & Technologies
GoRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
TypeScript @ 1
Python @ 1
GCP @ 2
Java @ 1
AWS @ 2
Azure @ 2
API @ 3
LLM @ 3
OpenAPI @ 3
ChatGPT @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About Glean
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time.
Role overview
Glean is building the horizontal AI platform that powers how employees use AI at work across many apps (Copilot, Gemini, ChatGPT, IDEs, and more). The Context Platform team owns platform experience end-to-end: standards and tooling for REST APIs, SDKs and client libraries, agent SDKs and integrations, MCP servers, custom context such as code and memory, and the infrastructure and docs that make it easy to build on Glean. In a rapidly growing startup, this role works across multiple layers of the stack – backend services, developer tools, SDKs, and docs.
Responsibilities
- Design, build, and evolve SDKs and client libraries that developers use to integrate with Glean from their own applications and agent frameworks.
- Own and advance agent-focused tooling and SDKs (including MCP and related integrations) so external frameworks, IDEs, and agents can easily and reliably call into Glean.
- Build custom platform context services and actions such as Code Search, Code Writer, and Memory that power rich experiences across apps.
- Define and maintain standards and conventions for Glean’s public REST APIs (resource design, versioning, errors, deprecations) and provide the OpenAPI schemas, tools, and CI checks that other teams use when building and evolving endpoints.
- Collaborate with Security to design and operate authentication and authorization flows for developer scenarios (e.g., OAuth2/OIDC, dynamic client registration, service-to-service auth).
- Design features as reusable platform primitives on top of Glean’s horizontal layers (connectors, security/governance, knowledge graph, memory, model orchestration) so they can be reused by internal teams and partners.
Requirements
- BA/BS in computer science or a related field, or equivalent practical experience.
- 1+ years of industry software engineering experience.
- Experience building and shipping backend and/or platform systems that are used in production.
- Proficiency in at least one modern backend language (ideally Golang, or strong interest in learning it); experience with TypeScript, Python, and/or Java is a plus.
- Familiarity with cloud-native development practices in GCP/AWS/Azure is a plus.
- Experience or interest in designing REST APIs, OpenAPI schemas, SDKs/client libraries, CI checks, and developer tooling.
- Experience or familiarity with authentication/authorization flows for developer scenarios (OAuth2/OIDC, dynamic client registration, service-to-service auth).
- Thrive in a customer-focused, cross-functional environment; proactive attitude and ownership of features and systems.
Location & Office Policy
This role is hybrid (3–4 days a week in the Palo Alto office).
Compensation & Benefits
The standard base salary range for this position is $140,000 - $265,000 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.
Glean offers a comprehensive benefits package including Medical, Vision, and Dental coverage, generous time-off policy, 401(k) contribution opportunity, a home office improvement stipend, annual education and wellness stipends, regular company events, and daily healthy lunches.