Teams at tem energy

Manage 20–30 broker and channel partners across onboarding, pipeline development, deal progression, closing, expansion, and renewal. Maintain accurate HubSpot records, resolve commercial blockers, support partner-sourced revenue growth, and share market insights with internal teams. The role requires strong B2B commercial communication, relationship-building, pipeline management, and initiative in a fast-paced energy technology environment.

Own and develop production machine learning components for a dynamic pricing system. Build probabilistic models, experimentation and measurement systems, monitoring, alerting, guardrails, staged releases, and replayable pricing decisions. Investigate commercial pricing adjustments, improve business metrics, and collaborate with engineering, product, platform, sales, and commercial teams. The role requires hands-on production coding, operational accountability, and safe deployment of automated decisions involving money.

Build and scale the ML platform supporting production forecasting, pricing, prediction, and optimization models. Responsibilities include deployment infrastructure, model inference and training, observability, monitoring for drift and degradation, data validation, evaluation and backtesting tooling, production data systems, and reliability ownership. The role also contributes to model improvements, time-series forecasting, and potentially probabilistic modeling and quantitative trading or energy optimization applications.