Software Engineer, Data Foundations

About the Role

We are looking for a Software Engineer to join Gleans Data Foundations team the group that owns the end-to-end data ingestion and management layer powering Gleans 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 datasources 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).
• 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.

Location:

• This role is hybrid (4 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

The standard base salary range for this position is $140000 - $265000 annually. Compensation offered 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 competitive compensation Medical Vision and Dental coverage generous time-off policy and the opportunity to contribute to your 401k plan to support your long-term goals. When you join youll receive a home office improvement stipend as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.

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