Job Overview
Location
New York City, NY
Job Type
Full-time
Category
Software Engineering
Date Posted
May 10, 2026
Full Job Description
đź“‹ Description
- • As a Software Engineer on the Forecasting & Scheduling team at Assembled Technologies Inc., you will play a critical role in building the intelligent systems that balance human agents and AI to optimize customer support operations at scale. Your work will directly impact how companies like Canva, Etsy, and Robinhood staff and automate their support teams, enabling faster, better service through data-driven decisions.
- • Day to day, you will develop forecasting interfaces, data pipelines, and inference servers to predict support contact volume and determine optimal agent staffing levels; design and implement scheduling systems that incorporate team preferences and business constraints (such as labor laws) to generate optimal schedules for thousands of support agents; and enhance MLOps practices to support rapid, reliable machine learning model deployment and iteration.
- • Assembled is a fast-growing, well-funded startup backed by $71M from NEA, Emergence Capital, and Stripe, dedicated to creating the unified platform that orchestrates human and AI agents in customer support. The engineering team tackles complex, real-world problems at the intersection of operations research, machine learning, and distributed systems, with a focus on performance, scalability, and reliability.
- • In this role, you will deepen your expertise in machine learning engineering, distributed systems, and workforce optimization; gain hands-on experience building production-grade ML pipelines and scheduling algorithms; and have the opportunity to influence the technical direction of a product that is redefining how companies manage human-AI collaboration in customer service.
🎯 Requirements
- • Familiarity with ML packages and software: Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work.
- • Background in ML or algorithmic teams: Previous experience working on a machine learning or algorithmic team.
- • Passion for performance: A strong commitment to advancing both statistical and runtime performance, ensuring reliable and efficient forecasting and scheduling.
🏖️ Benefits
- • Opportunity to work on impactful problems at the intersection of ML, operations research, and workforce management for a product used by leading companies like Canva, Etsy, and Robinhood.
- • Backed by $71M in funding from top-tier investors including NEA, Emergence Capital, and Stripe, offering stability and growth potential.
- • Commitment to building an inclusive workplace where diverse perspectives are valued and everyone has the opportunity to do their best work.
Skills & Technologies
About Assembled Technologies Inc.
Assembled builds workforce management software for customer support teams. The platform forecasts demand, schedules staff, and tracks real-time metrics across support channels like email, chat, phone, and social. Integrations with Zendesk, Salesforce, Kustomer, and Intercom pull ticket data to automate staffing decisions. Companies use Assembled to reduce response times, balance agent workloads, and plan hiring against predicted ticket volume. Founded in 2018, the company serves technology, e-commerce, and marketplace businesses seeking to scale support operations efficiently.
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