Want to shape an AI platform's architecture from day one, instead of just maintaining what someone else built?
Manychat runs AI features for businesses worldwide, and we're hiring an SRE to own the reliability, performance, and cost of that AI infrastructure, and to raise the bar for how our whole engineering org builds on LLMs.
This isn't a classical SRE role with a bit of AI sprinkled on top. We need someone AI-native: you already understand how modern LLM systems behave in production, things like token throughput, provider rate limits, degraded model quality, and inference latency tails, and you treat all of that as a first-class reliability concern, not an afterthought.
Why this role is worth your time
- The AI Platform is still young, so you'll shape its architecture, standards, and roadmap from the ground up.
- The stakes are real. AI features sit right in the critical path of customer-facing automation, so your work actually matters to the business, not just to a dashboard.
- You'll partner directly with the Head of Infrastructure, with real autonomy and visibility into how your decisions play out.
Sound like the kind of ownership you've been looking for?