Software Engineer, APIs & Context Platform
Glean Work is hiring a Software Engineer, APIs & Context Platform in Mountain View, United States. It pays $210k-$300k a year and Level rates it ; you can apply on Glean Work.
Level's read on this job
- On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
- Pay on this posting starts 25% higher than the typical software engineer posting on Level.
- The posting mentions ChatGPT, Gemini and Copilot among its tools and skills.
- Level classes it as a mid-level role.
- Glean Work has 130 other open roles on Level.
AI in this role
Build enterprise AI context platforms, APIs, and agentic capabilities on Glean's work AI stack.
About the Role:
Glean is building the horizontal AI platform that powers how employees use AI at work – not just in Glean, but across tools like Copilot, Gemini, ChatGPT, IDEs, and more. We are seeking creative engineers to build this context platform and deliver rich, trustworthy experiences across all of those apps. This team owns the 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 means working across multiple layers of the stack – backend services, developer tools, SDKs, and docs.
You will:
- Own and evolve Glean's REST API standards: versioning strategy, backward-compatibility guarantees, deprecation policy, and OpenAPI specification tooling.
- Design and ship new API endpoints that expose Glean's platform primitives — search, knowledge graph, chat, agent and others — as stable, well-documented developer surfaces.
- Build the API gateway layer: routing, authentication (OAuth2, API keys, OIDC), rate limiting, quota management, and per-tenant usage metering.
- Define reusable platform primitives on top of Glean's horizontal layers (connectors, security/governance, knowledge graph, memory, model orchestration) so they can be composed by internal teams and external partners.
- Work across backend services, developer tools, SDKs, and documentation in a fast-moving startup environment.
- Design, build, and evolve SDKs and client libraries that developers use to integrate with Glean from their own applications and agent frameworks.
- Instrument API usage to surface adoption metrics, error patterns, and latency SLOs
- Champion the external developer perspective internally — bring customer feedback, friction points, and feature requests into the roadmap process.
About you:
- BA/BS in computer science or a related field, or equivalent practical experience.
- 8+ years of industry software engineering experience, with meaningful time spent building and shipping public-facing APIs or developer platforms in production.
- Deep fluency in REST API design principles: versioning, backward compatibility, pagination, error semantics, hypermedia, and OpenAPI/JSON Schema.
- 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.
- Thrive in a customer‑focused, tight‑knit, cross‑functional environment – being a team player and willing to take on whatever is most impactful for the company is a must.
- A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features.
Location:
- This role is hybrid (4 days a week in our Mountain View office)
Compensation & Benefits:
The standard base salary range for this position is $210,000 - $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.
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How we rate this
Software Engineer, APIs & Context Platform at Glean Work rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $210k
- Typical software engineer job
- $168k
This posting starts 25% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used ChatGPT in your day-to-day work.
- What are the limits of Gemini that you've run into, and how did you work around them?
- What's a project where you used Copilot hands-on?
- Walk me through how you've used REST APIs in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, ChatGPT, Gemini, Copilot, and REST APIs. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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