Glean
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full‑scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business—without vendor lock‑in or costly implementation cycles.
About the Role 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.
You will work on: Ingestion & Connectivity
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 data sources like actions, live‑fetch, and query‑language support.
Data Processing & Modeling
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.
Security & Permissions
Preserve fine‑grained ACLs, deletions, and sensitivity constraints so AI answers are always grounded in what users are actually allowed to see.
Cross‑Functional Impact
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.
About you
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).
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.
Location This role is hybrid (4 days a week in one of our San Francisco Bay Area offices).
Compensation and Benefits The standard base salary range for this position is $140,000 – $265,000 annually. Compensation 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 medical, vision, and dental coverage; generous time‑off; 401(k) contributions; a home‑office improvement stipend; and annual education and wellness stipends. Healthy lunches are provided daily.
EEO & Diversity Statement Glean is an equal‑opportunity employer committed to creating a diverse and inclusive workforce. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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About the Role 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.
You will work on: Ingestion & Connectivity
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 data sources like actions, live‑fetch, and query‑language support.
Data Processing & Modeling
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.
Security & Permissions
Preserve fine‑grained ACLs, deletions, and sensitivity constraints so AI answers are always grounded in what users are actually allowed to see.
Cross‑Functional Impact
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.
About you
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).
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.
Location This role is hybrid (4 days a week in one of our San Francisco Bay Area offices).
Compensation and Benefits The standard base salary range for this position is $140,000 – $265,000 annually. Compensation 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 medical, vision, and dental coverage; generous time‑off; 401(k) contributions; a home‑office improvement stipend; and annual education and wellness stipends. Healthy lunches are provided daily.
EEO & Diversity Statement Glean is an equal‑opportunity employer committed to creating a diverse and inclusive workforce. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#J-18808-Ljbffr