Plato is building the digital backbone of the global trade economy. Starting with the $48T wholesale industry, we empower the modern wholesaler to connect their people and data in a single analytics and workflow hub. By leveraging data science and AI, we automate workflows and combat labor shortages, making SMB wholesalers competitive with large corporations.
The future of wholesale is data-driven. Unlike popular opinion, Industrial SMEs are ready to make the step to become more proactive in their processes but lack the technology to steer them to success. Our founders come from a wholesale family and gathered a rock star team of ex-Big Tech, VC, and top-tier consulting companies to reshape the operations of this $48tn industry. Our initial product leverages cutting-edge data science to provide customized demand forecasts and product recommendations combined with intelligent workflow automation.
We are about to create category-defining software. Our primary customers are C-suite executives within large-scale wholesale and distribution businesses. We are committed to helping them enhance their decision-making processes and optimize their operations through the smart use of their data - bringing their operations into the 21st century! But don’t just hear it from us! We are supported by a list of top-tier EU & US VCs, advisors, and angels providing insights from some of the best SME tech companies such as Miro, Celonis, Personio, Workday, Forto, and Microsoft.
MLOps = DataOps + DevOps + ModelOps
At Plato, we are building a real-time data plaform. As a member of our team, you will play a pivotal role in developing and maintaining the infrastructure that powers our ML solutions.
A significant challenge we face is onboarding a large number of customers onto our platform, where automation and repeatability are crucial for success. This role combines the best of data engineering with the demands of machine learning operations, ensuring the seamless operation of data pipelines and ML models from development to production.
The ideal candidate is an innovative problem-solver who is passionate about both data engineering and MLOps. You will thrive in our dynamic startup environment, wearing multiple hats when required to meet our evolving needs. Your ability to collaborate across teams, automate processes, and ensure repeatability will be key to driving our data and ML infrastructure forward.