# AI Engineer - Data and Evals at Glean

- Company: Glean
- What the company does: Glean is the Enterprise AI platform connected to your enterprise's data. Find, create, and automate anything. Explore what Glean can do for you! Backed by General Catalyst, Kleiner Perkins and Lightspeed.
- Company website: https://www.glean.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco Bay Area
- Work setup: On-site
- Pay: $200K to $280K base salary per year (USD)
- Posted: 2026-10-22
- Apply by: 2026-12-06
- Apply: https://job-boards.greenhouse.io/gleanwork/jobs/4746908005?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/glean-ai-engineer-data-and-evals/

## About the role

The bottleneck in building reliable, useful AI is no longer writing code. It's defining what good looks like and measuring how well our products deliver it. That takes high-quality data and evals that teams can trust. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 5+ years of software engineering experience with strong Go and/or Python and backend fundamentals: APIs, data modeling, testing, and distributed pipelines. TypeScript is a plus
- Experience building datasets and benchmarks for LLM use-cases, RAG, or agents, including evalset curation and synthetic data generation
- Familiarity with eval methodologies and their tradeoffs: deterministic metrics, LLM-as-a-judge, pointwise vs pairwise grading, human labeling, and judge calibration
- Experience building eval or experiment infrastructure that runs reliably at scale, including CI/CD integrations and observability tooling like OpenTelemetry
- Strong analytical skills: you dig into traces and failure cases, write SQL, and use data and metrics to explain why quality moved
- Nice to have: experience with simulation environments and/or model post-training techniques

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/glean-ai-engineer-data-and-evals/