IT Operations Automation Engineer

About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role Faire is looking for an IT Operations Automation Engineer to join our IT Operations team in San Francisco. We're building IT Support as a product — instrumented, measurable, and continuously improved through automation rather than headcount. This role is the engine of that strategy.

You'll spend the majority of your time building automations, crafting code, and deploying AI tooling that eliminates entire categories of tickets rather than closing them one by one. You'll stay close to the support surface through targeted, high-impact escalations — the fastest way to spot what's worth automating is to feel the pain yourself — but the deliverable is leverage, not ticket throughput.

This role is roughly 70% building and 30% high-impact escalations, root cause work, and stakeholder partnership . If you've ever closed a ticket and thought "this should never have been a ticket," this is the job for you.

What you'll do

• Design, build, and ship automations (Python, Jira/Slack workflows, scripting) that remove recurring work from the IT team's plate and improve the employee experience.
• Treat IT Support as a product: instrument ticket data, identify the top drivers, and ship upstream fixes — playbooks, self-service, automation, or system changes.
• Deploy modern AI tooling (agents, LLM-powered triage, auto-resolution, knowledge retrieval) to raise deflection rates and service quality.
• Own an automation roadmap: prioritize the highest-leverage opportunities, ship measurable improvements, and report on impact.
• Act as a global escalation point for complex, high-impact issues — and use those escalations as the input signal for what to automate next.
• Get to the bottom of issues through real root cause analysis, not surface-level fixes.
• Partner with IT Engineering on tooling, reliability, and platform improvements, and contribute feedback that makes our systems more supportable by design.
• Build the documentation, self-service guides, and internal tools that let the rest of the IT team — and our employees — solve more on their own.

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