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letitbex ai

Glean Administrator & Integration Engineer

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Job Description

About LetitbexAI

LetitbexAI is a fast-growing AI-driven technology company focused on building intelligent, scalable, and enterprise-grade solutions. We work at the intersection of AI, data engineering, cloud, and business transformation, helping organizations unlock real value from artificial intelligence.

Position: Glean Administrator & Integration Engineer

Experience: 3+ Years

Notice Period: Can be considered up to 30 Days

Role Overview

The Glean Administrator & Integration Engineer is a hands-on platform and integrations role

responsible for administering Glean environment and building/maintaining custom

connectors and integrations across core enterprise applications (e.g., Salesforce, Workday,

NetSuite, Slack, Okta, Zoom, Jira, Google Workspace). The role blends Glean platform

administration, search & assistant configuration, and API‑driven engineering to ensure

reliable search, secure access, and scalable automation on the Glean platform.

This role is ideal for someone who has strong fundamentals in APIs, scripting, and cloud

platforms, and wants to own Glean as a strategic platform (Enterprise Search + Work AI) within

Key Responsibilities

  • Glean Platform Administration
  • Own day‑to‑day administration of Glean (Prod / non‑Prod) including user access, roles,

licenses, and cohorts.

  • Configure and maintain datasources (e.g., Salesforce, Workday, Slack, Jira, Google

Workspace, Okta, Zoom, Confluence, Docebo, internal apps) – onboarding, schema

configuration, crawl schedules, and health monitoring.

  • Manage SSO / SAML / SCIM and identity mappings in partnership with IAM / Okta

teams; ensure access is least‑privilege and compliant with InfoSec guidance.

  • Administer LLM/Assistant settings (model routing, grounding sources, Deep Research

quotas, safety controls, tonality defaults, etc.).

  • Maintain and improve search quality and relevance by tuning ranking, synonyms,

boosting, and filters using usage insights and stakeholder feedback.

  • Custom Connectors & Integrations (Engineering)
  • Design, build, and maintain custom Glean connectors (e.g., for internal tools, niche

SaaS, or log systems) using Glean APIs, webhooks, and supported SDKs.

  • Implement read‑only and (where approved) write‑capable connectors for high‑value

systems such as Coupa, Logz.io, CDM Live Logs, internal portals, and other strategic

platforms.

  • Work end‑to‑end on connector lifecycle: requirements, design, data modeling,

authentication (OAuth 2.0/API keys), error handling, observability, and deployment.

  • Collaborate with EI & IA engineers (e.g., MuleSoft) where hybrid patterns are needed

(Glean + iPaaS + APIs).

  • Contribute to shared libraries, templates, and runbooks for repeatable connector and

integration patterns.

  • Security, Compliance & Governance
  • Partner with InfoSec, Legal, and Data teams to ensure Glean usage aligns with AI risk,

data residency, and privacy requirements (including Assistant / Work AI use cases).

  • Implement and monitor audit logging and admin activity tracking using GCP/Logging

and Glean audit logs; drive alerting for critical configuration changes and anomalies.

  • Ensure permissions mirroring across sources (RBAC/ABAC) so Glean never

over‑exposes data beyond the source system.

  • Support periodic access and usage reviews, license optimization, and cleanup

programs (e.g., revoking dormant accounts, enforcing VP approvals).

  • Operations, Monitoring & Support
  • Monitor crawl health, indexing latency, error rates, and capacity (search and chat)

across datasources and connectors; proactively remediate issues with Glean Support

and internal admins.

  • Own L2/L3 support for Glean platform incidents (search failures, Assistant issues,

connector outages, SSO problems), including root cause analysis and permanent fixes.

  • Use GCP logs / observability tools to debug integration and platform issues; coordinate

with CloudOps and app owners when infra or app‑side changes are required.

  • Maintain an up‑to‑date runbook (on‑call playbooks, common issues, escalation matrix,

and rollback plans).

  • Stakeholder Management & Enablement
  • Work closely with Support, Engineering, G&A, and GTM leaders to understand use cases and prioritize Glean enhancements (search, connectors, Assistant prompts, Agents, write actions).
  • Partner with datasource owners (SFDC, Workday, Zoom, Okta, etc.) to align on

configuration, API usage, and troubleshooting expectations.

  • Drive training and enablement for Glean power users and champions, including

documentation, office hours, and how‑to guides.

  • Provide regular status updates and metrics (adoption, search success, deflection,

incident trends) to leadership.

Required Qualifications

Education & Experience

  • Bachelor's degree in Computer Science, Information Technology, Engineering or

equivalent practical experience.

  • 3–6 years of experience in enterprise application integrations, platform

administration, or SRE/DevOps, with at least 1–2 years owning or heavily supporting

an enterprise SaaS platform (search, collaboration, or iPaaS).

Technical Skills

Glean / Enterprise Search / AI Platforms

  • Experience administering or integrating tools like Glean, Elastic, Coveo, or similar

search/AI platforms (indexing, datasources, search configuration, relevance

tuning).

  • Understanding of generative AI grounding, citations, and prompt configuration

is a strong plus.

APIs & Custom Connectors

  • Strong understanding of REST APIs, HTTP, JSON, pagination, rate limiting, and

error handling.

  • Hands‑on experience with OAuth 2.0, API keys, and service accounts for

system‑to‑system integrations (e.g., Salesforce, Okta, Workday).

  • Experience building microservices or connector‑like components in Python,

Node.js, or Java.

Cloud & Observability

  • Working knowledge of GCP/AWS/Azure, especially IAM concepts, logging, and

monitoring (e.g., GCP Logging, metrics, and alerts).

  • Experience instrumenting services with logs and metrics for troubleshooting and

capacity planning.

Enterprise Applications (nice to have but strong plus)

  • Exposure to Salesforce, Workday, NetSuite, Jira, Confluence, Slack, Zoom,

Okta, Google Workspace or similar SaaS platforms as integration targets.

  • Familiarity with identity concepts (SSO/SAML, SCIM, group‑based access) and

data classification.

Tooling & Practices

  • Comfort with Git/GitHub, branching, pull requests, and code review workflows.
  • Understanding of CI/CD and automated deployment pipelines.

Soft Skills

  • Strong analytical and debugging skills; able to independently drive incidents from

detection to root cause and long‑term fix.

  • Excellent written and verbal communication, with the ability to document design

decisions, runbooks, and status clearly for both technical and non‑technical

stakeholders.

  • High sense of ownership and accountability; comfortable operating at the intersection

of IT, Security, and Business stakeholders.

  • Collaboration‑first mindset – works well with distributed teams, vendors, and SMEs to

unblock issues and deliver outcomes on time.

Preferred Qualifications

  • Prior experience as a Glean Admin, Search Platform Owner, or AI/LLM platform engineer.
  • Experience building or administering iPaaS‑based integrations (MuleSoft, Workato,

etc.), especially where those integrations feed search/AI platforms.

  • Familiarity with AI safety, prompt governance, and tenant‑level controls for GenAI

tools in an enterprise setting.

  • Exposure to Support / GTM workflows (cases, ARs, knowledge base, Slack channels)

and their data models in Salesforce and related tools.

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About Company

Job ID: 146110743

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