Customer Value Architect

Customer & Solutions
· Los Angeles
· Remote
· Full Time
· Senior level

This role sits with the company's largest utility customers and makes sure they actually use the platform well. A strong candidate brings enterprise account work, often from consulting, plus enough technical depth to connect customer goals to software features. Building clear business cases and return on investment measures, and training users across an organisation, are central to the job.

The platform uses machine learning to model grids and run storm and fire scenarios, so the role is about helping customers trust and act on those simulations. AI speeds up data classification and scenario analysis, but the human work of reading a utility's priorities, running workshops and proving value stays with this person. The job rewards someone who can explain model output in plain terms to engineers and executives alike.

Working here means gaining hands on exposure to physics based digital twins and machine learning applied to real infrastructure decisions. A candidate can build this by learning how simulation and classification models feed into asset planning, and by practising the translation of model results into business cases. Familiarity with data integration and scripting helps, since tailored customer solutions often need it.

• Enterprise account management
• ROI and business cases
• Utility or infrastructure domain
• Customer training and workshops
• Scripting and data integration

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

A physics-based 3D digital twin of the electricity network, so utilities can simulate a storm or a fire before it happens rather than inspect poles after.