we are looking for a Solution Engineer.
The 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.
Responsibilities:
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of Demand Forecasting module
Requirements: 2-5 years of real-world experience in technical, data, solutions, analytics, or implementation roles
Proficient in Python, SQL, and Spark
Solid experience working with structured data and Python
Strong technical debugging and problem-solving mindset
Customer-facing experience with the ability to lead technical conversations
Excellent communication skills and ability to explain technical concepts clearly
Highly organized and able to manage multiple implementations in parallel
Experience in B2B / SaaS environments - a strong advantage
Experience working with Customers (in English) - a must
This position is open to all candidates.