Obtenez une réponse de cet employeur
Votre CV et votre lettre de motivation, adaptés exactement à ce que l’employeur recherche.
Neara is seeking a Senior Customer & Solutions professional in Los Angeles with remote flexibility. You will work with utility customers to ensure adoption of Neara’s physics-based digital twin platform and translate their goals into actionable software features.
The role emphasizes building business cases, ROI measurement, and training users across client organizations, with a focus on enterprise account management and workshops to demonstrate value.
Customer & Solutions · Los Angeles · Remote · FullTime · 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.
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.