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$ cat jobs/gtm-systems-engineer-faire-e504afa19591.json

GTM Systems Engineer

Faire·US·San Francisco, CA·mid
mlsalesforce
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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 GTM Engineering builds and operates the intelligent systems, integrations, and automations that power Faire's GTM revenue org. We're the AI and technical backbone of GTM — accountable for the reliability, adoption, and continuous improvement of the tech stack. We're an AI-first team: we design intelligent workflows, build automation, and invest in the data foundations that make every capability we ship compound in value over time. We're hiring a GTM AI & Systems Engineer to help build the next generation of AI and automation across Faire's go-to-market stack. This is a builder role on our GTM Engineering team — you'll design, build, and ship the agents, integrations, and workflows that take manual work off Sales and put Faire's data to work across the customer lifecycle. You'll work across Salesforce, sales tools, and our growing AI/MCP tooling layer, partnering closely with RevOps, Sales, GTM Program Management, and Data & Backend Engineering to find the highest-leverage opportunities and turn them into systems people actually use. Every decision about what we build is made with an AI-first lens: agent before automation, automation before manual. W

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