Build and scale AI-assisted internal tooling and automations across SaaS systems. Partner with Automation leads on agent infrastructure while maintaining integrations and documentation that enable company-wide self-service.
117k – 120k/yr
Remote3+ YOEIT Support
About the role
What you'll do
40% partnering with our Automation/AI leads on agent infrastructure, evals, and AI-assisted internal tools — including our internal IT support agent and other AI-powered workflows
30% building and maintaining internal automations and integrations across our stack using n8n, Python, TypeScript, and AI agents — spanning Linear, Ramp, Notion, Slack, Google Workspace, 1Password, Kandji, and GCP
20% documentation, runbooks, and enabling the rest of the company to self-serve through better systems
10% supporting broader Strat Ops and BizOps requests as they arise
What we're looking for
3-6 years in a technical generalist role — tech ops, IT engineering, platform engineering, or solutions engineering — at a B2B SaaS company
Demonstrated experience in Python, TypeScript/Node.js, or Go, with real systems built and maintained
Hands-on familiarity with LLMs and agent frameworks (Claude, MCP, RAG, or similar)
Practical experience integrating SaaS systems via APIs, webhooks, and workflow automation (n8n, Zapier, or custom orchestration)
Comfort with at least one major cloud platform (GCP preferred) and familiarity with Google Workspace, Slack, Linear, 1Password, Kandji, or equivalents
Working knowledge of identity systems (SSO/SCIM, Okta or similar) and MDM (Kandji, Jamf, or similar) is a plus
Bonus: prior experience supporting SOC 2, ISO 27001, or GDPR compliance programs, or shipping internal AI products
Compensation & Benefits
Starting salary: $117,000 - $120,000 USD depending on experience
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
Corporate IT Engineer building and scaling internal SaaS platforms, identity systems, and automations with Python, Terraform, and AI tools at a fast-growing enterprise AI company. Requires 3+ years IT engineering experience, deep Okta/SaaS expertise, and strong automation skills.
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