Solution Engineer

Required Solution EngineerAn automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle.

It was acknowledged as one of Israels 50 most promising startups two years in a rowCompany Highlights:Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.50 employeesHQ in Tel Aviv with growing sales organization in the USCustomers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, and SciPlayThe Demand Forecasting team is at a pivotal, high-growth stage.

This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.ResponsibilitiesLead and support customer-facing Demand Forecasting use cases from discovery through deploymentWork hands-on with customer data to design, test, and validate forecasting solutionsAct as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasetsAnalyze and explain model outputs and complex analytical concepts in a clear, business-oriented wayTroubleshoot technical and data-related challenges and drive them to resolutionCollaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use casesHelp customers achieve measurable business impact and adoption of our Demand Forecasting module.Requirements: 2-5 years of real-world experience in technical, data, solutions, analytics, or implementation rolesProficient in Python, SQL, and SparkSolid experience working with structured data and PythonStrong technical debugging and problem-solving mindsetCustomer-facing experience with the ability to lead technical conversationsExcellent communication skills and ability to explain technical concepts clearlyHighly organized and able to manage multiple implementations in parallelExperience in B2B / SaaS environments - a strong advantageExperience working with Customers (in English) - a must.This position is open to all candidates.