Customer Value Architect - Austin

present of AI; Austin (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

Neara is seeking a Customer Value Architect in customer success to bridge physics-based simulation with practical utility needs. The role emphasizes translating product capabilities into actionable customer outcomes, and guiding conversations with utility teams to shape outcomes.

You will help frame value, communicate clearly with stakeholders, and turn insights into plans that customers can implement in their operations, while leveraging AI-assisted analysis and digital twin context.

Qualifications

• Strong candidate maps a product to real operational problems.
• Comfort with engineering or grid concepts.
• Ability to explain value in plain terms to non-technical stakeholders.
• Experience guiding structured conversations with utility teams.

Responsibilities

• Map product capabilities to customer needs and outcomes.
• Lead structured conversations with utility teams to gather requirements.
• Turn findings into a concrete plan the customer can act on.
• Explain value and build trust with customers and stakeholders.

Skills

Utility operations knowledge

Value framing

Clear customer communication

Structured problem solving

Job description

A Customer Value Architect in customer success usually combines technical understanding with a clear view of what a customer is trying to achieve. A strong candidate can map a product to real operational problems, run structured conversations with utility teams, and turn findings into a plan the customer can act on. For a physics based network simulation product, comfort with engineering or grid concepts and the ability to explain value in plain terms both matter.

How it fits the AI era

AI speeds up analysis and drafting, so the human work shifts toward understanding what a utility actually needs and building trust with the people who run the network. Judgement about which use cases matter and how to frame value stays with the architect. The role becomes less about producing documents and more about asking the right questions and connecting simulation output to decisions.

How it builds AI experience

Working here would build familiarity with simulation and digital twin tools applied to real grid scenarios, plus practice using AI assistants to prepare customer materials and summarize findings. A candidate can build this by learning the basics of power networks and scenario modelling, and by getting hands on with AI tools for analysis and writing. Showing a small project that ties a technical model to a customer decision would help.

Worth showing

• Utility operations knowledge
• Value framing
• Clear customer communication
• Structured problem solving

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.

About Neara

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.