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Ema

Coordinated AI agents automate enterprise workflows

IT Engineer

System AdministrationConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Strong drive to eliminate repetitive work using AI coding tools, Python and Bash scripting, and API integrations.
  • 0–2 years of experience managing cloud and SaaS infrastructure, Okta or identity provider (IdP) systems, Google Workspace, and mobile device management (MDM) platforms.
  • Strict adherence to security protocols, precise documentation habits, and sound judgment when handling compliance risks.
  • Clear technical writing and verbal communication, including maintaining concise documentation for automated processes and serving as the primary interface for internal stakeholders.

Responsibilities

  • Identify recurring manual tasks as automation candidates, extend existing systems, and use agentic tooling to design autonomous workflows.
  • Automate joiner-mover-leaver (JML) lifecycles, including global employee onboarding, Okta/System for Cross-domain Identity Management (SCIM) provisioning, and access reviews, shifting from ticket-driven processes to policy-driven automation.
  • Programmatically maintain software-as-a-service (SaaS) tool inventories, track utilization, and automatically reclaim unused licenses.
  • Manage the mobile device management (MDM) fleet while automating operating system patching, encryption baselines, and continuous drift detection.
  • Generate audit evidence for SOC 2, ISO 27001, and AI governance frameworks as a continuous byproduct of automated operations.
  • Standardize IT runbooks, manage integration registries, and deliver Tier 1 and Tier 2 support with defined service-level agreements (SLAs).
  • Advise Finance and HR on tool or subscription administration, including access, licensing, renewals, and billing questions.

About the Company

Ema

Coordinated AI agents automate enterprise workflows

Ema deploys teams of coordinated AI agents, marketed as AI employees, to run multi-step business processes across HR, IT, and finance on top of a company’s existing applications. Its EmaFusion model layer can access more than 150 frontier and open-source models, while Ema provides domain knowledge, integrations, and orchestration to connect these models into end-to-end workflows. Pricing is based on completed tasks and business outcomes rather than seats or tokens, and clients keep their current software stack while AI agents perform cross-system tasks. The goal is to help large organizations automate and optimize business processes at scale by deploying coordinated AI agents across core functions and expanding globally through expanded sales and markets; it differentiates itself with model-backed orchestration and enterprise-grade integrations, backed by a growing list of enterprise customers and strong retention.

Company size
201-500
Company stage
Series B
Total funding
$152M
Headquarters
Mountain View, CA
Founded
2023

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