Scale's emerging products are some of the fastest-growing in the company's history. In particular, we recently launched Scale Catalog, infrastructure to produce authoritative product data for eCommerce marketplaces including Etsy, Instacart, and PayPal.
We are seeing tremendous traction from customers already and are looking for great entrepreneurial engineers to help us accelerate our growth. In this role you'll be given the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest customers. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. You'll have the opportunity to work on diverse projects including using CV/NLP to understand images & product descriptions, and expanding schemas to support everything from luxury fashion to dairy products.
Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.
Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with.
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, GM, Samsung, Airbnb, NVIDIA, and many more. We’ve recently raised $325 million in Series E funding at a valuation of $7B+ and are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at email@example.com
. Please see the United States Department of Labor's EEO poster
and EEO poster supplement
for additional information.