Technical Operations Engineer - Material Bank

Material Bank is the world’s largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials.

As a Technical Operations Engineer, you will drive the development of the systems, tools, automations, and integrations that power Material Bank’s internal operations. Sitting at the intersection of technology and business operations, you will work across departments to identify opportunities, solve complex operational challenges, and build scalable solutions that improve efficiency, reliability, and decision-making across the organization.

This is a highly hands-on role for someone who enjoys both building and operating systems. You will own projects from concept through deployment, developing internal applications, automations, integrations, and data workflows that support teams across the business. You will also serve as a key technical resource during operational incidents, helping diagnose issues, coordinate resolution efforts, and continuously improve the systems that keep Material Bank running smoothly.

We are looking for someone who combines strong technical aptitude with exceptional problem-solving skills and a high degree of ownership. The ideal candidate is energized by ambiguity, comfortable working directly with non-technical stakeholders, and motivated by finding practical solutions that create measurable impact. As AI increasingly transforms how our business operates, you will also play a critical role in identifying and implementing AI-powered workflows and automation opportunities throughout the organization.

What you'll do

• Build and deploy internal web applications end-to-end, including modern web frontends, Python backends, and the underlying data models that help replace spreadsheets and manual processes. Own the deployment, monitoring, and ongoing operation of the solutions you build.
• Develop and operate data pipelines (ETL) that ingest data from multiple sources, including ERPs, CRMs, data warehouses, and scraped web sources. Normalize, clean, validate, and deliver data in a form that teams and applications can use effectively. Monitor pipeline health and respond when issues occur.
• Integrate internal and external platforms through REST APIs and webhooks, including CRM, ERP, ticketing, messaging, identity, data warehouse, and logistics providers, enabling reliable data flow across the business.
• Embed AI into operational workflows, including retrieval over internal knowledge, document and data extraction, classification, drafting, and routing. Apply the appropriate tools and approaches to accelerate research, reviews, and decision-maki