We’re looking for an experienced software engineer to help build the foundation of Assembled’s platform. Our Platform org is responsible for the core systems that power Assembled’s products end-to-end: the infrastructure our 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.
Assembled’s products sit at the center of some of the most operationally complex support environments in the world. Our workforce management product helps support teams plan and operate at scale, while our AI agents help automate work across chat, email, and voice. As both products grow, we need systems that are reliable, scalable, secure, cost-efficient, and capable of supporting both real-time operational workflows and large-scale analytical workloads.
By joining the Platform org, you’ll work on foundational problems across infrastructure, data platforms, and integrations. Depending on your background and interests, you may go deeper in one area, but all of our platform engineers help build and evolve the systems that power both our workforce management product and our AI agents.
Some projects owned by the Platform org
•
Scalable application infrastructure: We’re continuing to evolve the systems that run our products reliably and efficiently at enterprise scale, from container orchestration and observability to security and cost efficiency.
•
Integrations platform: We’re building the platform and connectors that ingest data from the systems our customers rely on most, including CRMs, ticketing systems, knowledge bases, communication platforms, and AI model providers.
•
Modern data foundations: We’re building the systems that transform raw product and integration data into reliable, queryable, derived datasets that power metrics, reporting, analytics, and other product experiences.
•
Real-time and analytical systems: Many of our products depend on both low-latency operational paths and heavier analytical workflows. We’re investing in systems that can support both without duplicating logic or creating inconsistent definitions.