AI Engineer, Glean
Data and Evaluations
$200-280k
4 days a week in office
AI-based search engine connecting enterprise data
Be an early applicant
AI-based search engine connecting enterprise data
1001+ employees
Be an early applicant
$200-280k
4 days a week in office
1001+ employees
Company mission
To expand human potential to do extraordinary work.
Role
Who you are
- 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
What the job involves
- Our team owns data and evaluation science for Glean's AI products
- We build evalsets, agentic LLM-judges, and benchmarks that capture what good looks like, along with the platform and infrastructure that run evals reliably at scale, and enterprise simulation environments where we test how our assistants and agents actually perform
- Starting from real production usage, you'll turn what we learn into evals that guide improvements across the entire stack, from agent harnesses to tool use, skill iteration, model routing, and post-training of task specific models
- You'll bring new research into production and partner with R&D, product, and GTM to turn findings from evals into better products and customer outcomes
- If you care about quality and want to build the systems that measure it, this role is for you
- Build evalsets and benchmarks from expert-curated examples, production data, synthetic data, and past failures, covering edge cases and key user slices
- Build and scale the eval platform and agent observability: experiment pipelines, trace capture and replay, and dashboards, with reproducible, affordable runs
- Build agentic LLM verifiers for correctness, groundedness, citation quality, and task success, and calibrate them against human labels using clear rubrics
- Run evals at every stage, from CI and pre-release suites to sampled production traffic, and report results with confidence intervals
- Build enterprise simulation environments with simulated users and realistic company data to test multi-step agent tasks
- Diagnose failures by slice and trace, and turn eval results into concrete fixes, weighing quality against latency and cost
Our take
Glean is an intuitive digital assistant which allows employees to search across all their apps and find the information and tools that they need more quickly.
With so many SaaS apps being used by modern day companies, overwhelm and inefficiency inevitably enter the equation. Glean’s search engine is proving popular for how it unifies and centralizes all these distributed tools and data.
It’s been quite a start to life at Glean, having emerged from stealth in 2021, it received a $1B valuation in early 2022, thus achieving unicorn status. Since then, the company has gone on to raise substantial funding and bring its valuation up to $7.2B in 2025. With this impressive growth, its secured some big name customers like Grammarly, databricks, and Rubrik.
That Glean was co-founded by a quartet with senior experience at Google, Microsoft, Uber, and Facebook stands the company in good stead. However, it’s the fact that its search engine is solving a new, but very real problem in the workplace that’s seen its popularity surge so quickly, which it’s likely to continue to do in the future. And its adaptability to include new AI capabilities to its platform, such as generative AI, has Glean well set to see further growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jun 2025
$150m
SERIES F
Sep 2024
$260m
SERIES E
Total funding: $805m
Company HQ
Evergreen Park, Palo Alto, CA
Leadership
Arvind Jain
(Co-Founder & CEO)Former Engineer at Google and Microsoft. Arvind is also the co-founder of high growth startup Rubrik, which delivers data security and operational resilience for enterprises.
TR Vishwanath
(Co-Founder & CTO)Before co-founding Glean, TR was a Principal Software Engineer at Facebook after spending eight years at Microsoft as a Software Design Engineer, then Principal Development Lead.
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