Software Engineer, Glean
Data Foundations
$140-265k
4 days a week in office
Enterprise search and knowledge management
Be an early applicant
Enterprise search and knowledge management
201-500 employees
Be an early applicant
$140-265k
4 days a week in office
201-500 employees
Company mission
To bring people the knowledge they need to make a difference in the world.
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 only emerged from stealth in 2021, it received a $1 Billion valuation in early 2022, thus achieving unicorn status, and has received nearly $400 million in funding so far. The SaaS platform is already used by some major companies including 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. 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 benefits
- Medical, dental, and vision for you and yours
- Competitive compensation and stock options
- 401k contribution
- Flexible work (3 days a week in the office), though we believe in folks working where they can be most effective
- Company events, from weekly happy hours to our annual company retreat
- Flexible hours, unlimited PTO, and company-wide winter break shutdown
- Transparent culture
- Learning and development stipend
- Free meals with lunch and dinner options every day
Company HQ
Evergreen Park, Palo Alto, CA
Leadership
Arvind Jain
(CEO)Former Engineer at Google and Microsoft. Is the co-founder of high growth startup Rubrik, which delivers data security and operational resilience for enterprises.
Piyush Prahladka
(Software Engineer)Prior to joining the co-founding team at Glean, they worked as a Senior Staff Software Engineer at Google, then as an Engineering Lead at Uber.
Tony Gentilcore
(Product Engineering Lead)Former Developer at At&T and TJC Labs. For ten years, served as a Senior Staff Software Engineer at Google, including a spell as Founder and Tech Lead / Manager of the Chrome Speed Team.
TR Vishwanath
(Engineering Lead)Before co-founding Glean, 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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