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Outset

AI-driven interview solution for candidate evaluation

IT Automation Engineer

System Administration +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$145k - $195k /yr

About the Job

Requirements

  • Substantial hands-on experience in client platform, corporate IT, or endpoint engineering, ideally during rapid growth.
  • Deep macOS administration expertise, including system logs, diagnostics, Apple hardware, peripherals, networking, and operating-system subsystems.
  • Mastery of Jamf Pro, Jamf Protect, Apple Business Manager, and modern Apple enrollment and management practices.
  • Current expertise in AI automation tooling and experience building reliable AI-assisted workflows, agents, or internal tools for enterprise systems.
  • Python and shell-scripting skills, plus experience integrating identity, HR, collaboration, and device-management platforms through APIs, webhooks, and event-driven workflows.
  • Hands-on experience administering and extending Rippling, Google Workspace, and Slack, including Slack security, applications, permissions, integrations, and workflow automation.
  • Experience diagnosing office network and Wi-Fi problems safely in a live workplace.
  • Strong ownership and communication, including identifying problems, developing sound solutions, explaining tradeoffs, and following work through to completion.
  • Sound judgment when working with privileged access, sensitive employee information, security incidents, AI systems, and internal investigations.
  • An exceptional customer-service mindset and empathy for employees blocked by technical issues.

Responsibilities

  • Manage the macOS fleet lifecycle and long-term roadmap, from architecture, configuration, and deployment through procurement, maintenance, replacement, and secure retirement.
  • Administer and improve Jamf Pro, Jamf Protect, Apple Business Manager, and related Apple device-management services.
  • Provide responsive, hands-on support for macOS hardware, operating systems, applications, identity, office networks, and Wi-Fi, resolving issues during business hours with minimal disruption.
  • Build secure IT and security automations using current AI tooling, Python, shell scripting, APIs, webhooks, and lightweight integration services; establish standards for access, data handling, reliability, observability, and human oversight.
  • Help other teams build secure automations for email and calendar workflows, Slack apps, internal support tools, and cross-system integrations.
  • Administer Slack, including security, applications, permissions, integrations, and workflows, and own integrations across Rippling, Google Workspace, Jamf, and other internal platforms.
  • Improve onboarding, offboarding, access management, software deployment, device compliance, inventory, and support workflows.
  • Create clear documentation, runbooks, service standards, and technical plans.
  • Partner with Security, Legal, People, and business teams on access and compliance reviews, internal controls, incident response, and investigations affecting company systems.

Desired Qualifications

  • Experience managing projects, team knowledge, and a Help Desk system in Linear and Notion.
  • Cybersecurity, corporate security, investigations, compliance, or legal operations experience, including incident response.
  • Experience in Detection & Response engineering, writing rules for EDR and SIEM, and automating remediation workflows.
  • Familiarity with zero-touch deployment, identity-driven access, device trust, and modern zero-trust architecture.
  • Experience designing IT operations for a rapidly growing organization.

About the Company

Outset

AI-driven interview solution for candidate evaluation

Outset.ai provides an AI-powered interview platform for HR that helps businesses assess candidates more efficiently. Its core tool is an AI interviewer that conducts interviews, asks dynamic follow-up questions, and categorizes responses to reveal deeper insights about a candidate’s fit. The system works by running interviews, generating follow-up prompts as needed, and analyzing answers to produce structured data and scoring to guide hiring decisions. What sets Outset.ai apart is its focus on an automatically conducted, adaptive interview process and organized response analysis, enabling HR teams of all sizes to streamline recruitment and rely on data-driven results rather than manual screening alone. The company aims to reduce the time and resources spent on candidate evaluation while increasing the accuracy and speed of hiring decisions.

Company size
51-200
Company stage
Series B
Total funding
$52M
Headquarters
San Francisco, CA
Founded
2022

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