5 months ago
Base Salary
$140k - $265k/yr
Responsibilities
- Build and scale connectors to SaaS and on-premise systems, including Google Workspace, Microsoft 365, Slack, Salesforce, Jira, ServiceNow, and GitHub.
- Implement full synchronization, low-latency incremental updates through webhooks and APIs, rate limiting, and complex authentication flows.
- Build datasource capabilities such as actions, live fetch, and query language support.
- Transform unstructured enterprise content into structured, permission-aware representations for search and LLM reasoning.
- Design document schemas and enrichment pipelines for entity extraction, access-graph propagation, redactions, and related processing.
- Own correctness, freshness, and performance across petabyte-scale data flows.
- Solve distributed-systems challenges involving ordering, idempotency, exactly-once processing, backpressure, retries, queues, workers, and storage.
- Preserve fine-grained access controls, deletions, and sensitivity constraints.
- Partner with Search Serving, Product, Platforms, and Security teams on exposing enterprise context to LLMs and agents.
- Improve observability, alerting, and automation for onboarding customers and data sources.
Requirements
- 3+ years of experience building production backend or data infrastructure systems.
- Hands-on experience with distributed systems, data pipelines, queues, and large-scale SQL or NoSQL storage.
- Ability to reason about SLOs, error budgets, failure modes, and correctness guarantees.
- Comfort with strict consistency and permission-modeling challenges.
- Experience with Java, Go, C++, Python, or similar programming languages.
- Prior experience with enterprise connectors, search/indexing, information retrieval, or security-sensitive systems is a strong plus.
- Power-user experience with LLMs and AI tools is expected in the workflow.
Benefits
- Hybrid work arrangement requiring 4 days per week in one of the San Francisco Bay Area offices.
- Medical, vision, and dental coverage.
- Generous time-off policy.
- 401(k) contribution plan.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches daily.
About Glean
Glean.ai is Intelligent AP. We leverage untapped invoice data to surface relevant context, actionable insights, and savings recommendations that power great spend decisions.