$ cat jobs/engineering-manager-forecasting-scheduling-assembledhq-f3f6bccf35b5.json
Engineering Manager - Forecasting & Scheduling
ABOUT ASSEMBLED Great customer support requires human agents and AI in perfect balance, and Assembled https://www.assembled.com/customers is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $71M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. Something interesting is happening. Right when everyone thought customer support jobs were being automated away, they’re starting to come back. [https://app.ashbyhq.com/api/images/user-content/6c18046c-a29b-44c7-90d9-d7238ae7821f/1d02f9cf-f09d-4f71-9b3c-e1696222b898/Screenshot%202026-05-13%20at%209.35.48%E2%80%AFAM.png] Businesses are starting to realize that the future is a combination of humans and AI working in harmony: AI handling technical questions and responses while humans cultivate relationships and create empathy. Assembled is building the future of customer support operations in the AI-era. Our job is to make sure AI handles what it's best at, and to set up human support teams to capitalize on the things only people can do. We're opening an Engineering Manager role on our Forecasting and Scheduling team: a key team pushing this hybrid world forward. Forecasting and Scheduling is a fullstack product team that builds the algorithms and user experiences that help support orgs get the right people working at the right times. You'll have wide autonomy to set technical direction and make product decisions, partnering closely with PM, design, ML engineers, and our GTM team to figure out what to build