About the role
Assembled is the only unified platform that orchestrates human agents and AI at scale for customer support. 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. Backed by $71M from NEA, Emergence Capital, and Stripe, Assembled is building the platform that makes AI and human collaboration actually work. As a Software Engineer on the Platform team, you will help build the foundation that powers Assembled's products end-to-end — the infrastructure applications run on, the integrations that ingest data into the Assembled ecosystem, and the data platforms that transform, model, and serve that data across the company. You will work on scalable application infrastructure including container orchestration, observability, security, and cost efficiency. You will contribute to an integrations platform that connects CRMs, ticketing systems, knowledge bases, communication platforms, and AI model providers. You will also help build modern data foundations that transform raw product and integration data into reliable, queryable datasets powering metrics, reporting, analytics, and product experiences. Depending on your background and interests, you may go deeper in one area, but all platform engineers help build and evolve systems that power both the workforce management product and AI agents.
What we're looking for
5 or more years of engineering experience involving backend, platform, or infrastructure systems. Excitement for working on foundational problems that cut across infrastructure, data platforms, and integrations. Ability to thrive in ambiguous environments and determine the right abstractions, system boundaries, and tradeoffs. Deep care for reliability, maintainability, performance, and building systems that empower other engineers. Comfort collaborating cross-functionally with an understanding of how platform work unlocks product and business impact. Familiarity with one or more parts of the stack: AWS for cloud infrastructure, Kubernetes and Karpenter for container orchestration, Postgres with PgBouncer, Snowflake, and Redis for datastores, and Go or Python as languages.