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Great customer support requires human agents and AI in perfect balance, and Assembled 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.
Job Responsibility:
Lead the architecture and delivery of new ML features end-to-end: research → prototype → production
Drive technical roadmaps, code reviews and design sessions to share your knowledge with the rest of the team
Mentor engineers, unblock thorny problems and act as subject-matter expert for data science topics
Collaborate with Product and Design to turn unclear customer problems into shippable solutions
Requirements:
5+ years shipping production time-series forecasts or similar ML systems
Proficient in a typed backend language (Go, Java or Rust) and comfortable with Python for research
Experience owning services in AWS or similar cloud