The way most companies build community engagement and social media management software ages in a predictable way: roadmaps stretch into quarters, large teams ship what should take days, and the moment AI capability jumps, the org has no way to absorb it — because it was never built around AI in the first place. Despite the explosion of what coding agents can now do, the average team still treats AI as a helper bolted onto a human-paced process, and ships at that pace.
We tore that model apart. We're reinventing how community engagement and social media management get built — faster than ever before, with AI in our DNA, not bolted on — and the engineers who matter most aren't the ones typing fastest. They're the ones removing every bottleneck that stops AI from owning the end-to-end workflow. This role exists to build and continuously sharpen that system: the tools, context, and guardrails that let agents do whole units of work autonomously, so a lean team plus its agents delivers at the throughput and quality of a squad many times its size.
You'll spend more of your time building the leverage than driving any single task — because that leverage compounds, and it's shared, so the whole team gets sharper every cycle. And you'll do it in a tight loop with product leadership: close enough to the vision that an idea raised on a customer call can be built before the call ends, or fully reflected by the next conversation.
We're a large enterprise organization with big customers, but we move like a startup — cycles measured in weeks, not months or quarters, let alone years. The quality bar is high for a reason: our customers are Fortune 100 brands, and when our software breaks, it's their brand reputation on the line. Throughput alone is worthless here — a rapid engineer who ships regressions and brittle features is a net negative. We need enterprise scale and standards and startup speed.