Software Engineer - Forecasting & Scheduling

San Francisco, California, United States

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$135,000 – $280,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Customer Support Technology, Workforce Management, AIIndustries

Requirements

Candidates should have extensive back-end engineering experience in statically typed languages such as Go, Java, or Rust. Familiarity with Python libraries like pandas, SciPy, and seaborn for statistical or predictive work is required, along with previous experience working on a machine learning or algorithmic team. A strong commitment to advancing both statistical and runtime performance is essential.

Responsibilities

The Software Engineer will develop forecasting interfaces, data pipelines, and inference servers to predict support contact volume and determine optimal agent staffing levels. They will design and implement interfaces for collecting team preferences and business constraints to create optimal schedules for large teams of support agents. Additionally, the role involves enhancing machine learning efficiency and operations to support rapid model deployment and iteration.

Skills

Java

Rust

Python

pandas

SciPy

seaborn

Machine Learning

Forecasting

Scheduling

Data Pipelines

Inference Servers

MLOps

Algorithmic Development

Performance Optimization

Assembled

Optimizes workforce management for customer support

About Assembled

Assembled optimizes workforce management for customer support teams by providing a platform that enhances the efficiency of service operations. The platform includes features like advanced scheduling, real-time monitoring, and data analytics, which help businesses manage their customer service more effectively. It serves a range of clients, from small businesses to large corporations, by using artificial intelligence and automation to improve team performance. Key features include adherence reports that track agent schedules and real-time performance data to maintain high service uptime. Assembled operates on a subscription-based model, allowing clients to access its tools for a recurring fee, which supports ongoing updates and improvements. The main goal of Assembled is to reduce operational costs, boost agent productivity, and enhance customer satisfaction by ensuring that support teams are optimally staffed and managed.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$68.8MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees