Software Engineer, Glean
Data Foundations
$140-265k
4 days a week in office
AI-based search engine connecting enterprise data
Open for applications
AI-based search engine connecting enterprise data
1001+ employees
Open for applications
$140-265k
4 days a week in office
1001+ employees
Company mission
To expand human potential to do extraordinary work.
Role
Who you are
- 3+ years building production backend or data infrastructure systems (Java, Go, C++, Python, etc.)
- Hands-on experience with distributed systems, data pipelines, queues, and large-scale storage (SQL/NoSQL)
- You think in SLOs, error budgets, failure modes, and correctness guarantees — not just features
- Comfortable with strict consistency and permission-modeling challenges
- Prior work on enterprise connectors, search/indexing, information retrieval, or security-sensitive systems is a strong plus
- Passionate about making AI trustworthy by building the rock-solid data foundation underneath it
- Power user of LLMs and AI tools in your own workflow
What the job involves
- We are looking for a Software Engineer to join Glean’s Data Foundations team — the group that owns the end-to-end data ingestion and management layer powering Glean’s Search, AI Assistant, and Agent products across thousands of enterprise apps and billions of documents
- Your work will directly determine the quality, freshness, and trustworthiness of the knowledge that every Glean user interacts with every day
- Build and scale connectors to a wide variety of SaaS and on-prem systems (Google Workspace, Microsoft 365, Slack, Salesforce, Jira, ServiceNow, GitHub, etc.)
- Handle full syncs, low-latency incremental updates via webhooks/APIs, rate-limiting, and complex authentication flows
- Build advanced capabilities in datasources like actions, live-fetch, and query language support
- Transform raw, unstructured enterprise content into rich, structured, permission-aware representations optimized for search and LLM reasoning
- Design document schemas and enrichment pipelines (entity extraction, access-graph propagation, redactions, etc.)
- Expand the capabilities of AI products through deep integrations that allow us to automate tasks, perform complex queries grounded in enterprise data, and enhance our indexed corpus with live data
- Reliability & Distributed Systems
- Own end-to-end correctness, freshness, and performance for petabyte-scale data flows
- Solve hard problems in ordering, idempotency, exactly-once processing, backpressure, and retries across distributed queues, workers, and storage
- Preserve fine-grained ACLs, deletions, and sensitivity constraints so AI answers are always grounded in what users are actually allowed to see
- Partner closely with Search Serving, Product, Platforms, and Security teams to define how enterprise context is exposed to LLMs and agents
- Continuously improve observability, alerting, and automation to onboard larger customers and more data sources with confidence
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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