Customer Success Engineer - Sydney

present of AI; Sydney; Hybrid; AUD 90,000 - 130,000; Full time

Job summary

Present of AI is seeking a Customer Success Engineer who blends technical support with customer relationships to help clients derive value from complex software. A background in energy systems or simulation tools and the ability to translate technical details into practical guidance for utilities are highly valued.

The role emphasizes troubleshooting, onboarding, and ongoing account health, with focus on listening, diagnosing, and guiding customers through model outputs and decisions in grid

Qualifications

• Understanding energy systems and grid concepts.
• Familiarity with simulation tools used in utilities.
• Ability to translate complex tech into practical guidance.
• Basic data analysis and interpretation of model outputs.

Responsibilities

• Troubleshooting customer issues and guiding resolution.
• Onboarding customers and ensuring effective adoption.
• Maintaining ongoing account health and satisfaction.
• Communicating technical details clearly to engineers.

Skills

Energy systems knowledge

Simulation tool familiarity

Clear technical communication

Data analysis basics

Job description

A Customer Success Engineer typically combines technical support with customer relationship skills, helping clients get value from complex software. For a company building a physics based digital twin of the electricity network, a strong candidate would bring an understanding of energy systems or simulation tools, plus the ability to translate technical details into practical guidance for utility customers. The role often asks for troubleshooting, onboarding, and ongoing account health, so clear communication and problem solving matter as much as coding or modeling.

How it fits the AI era

AI can speed up pattern finding in network data and flag likely failure points, but the core work of understanding a utility's real constraints and building trust with its engineers remains human. This kind of role stays valuable because someone must interpret model outputs, explain limits, and connect simulations to decisions about poles, wires, and storms. AI changes the tools, not the need for a person who can listen, diagnose, and guide.

How it builds AI experience

Working with a physics based digital twin would build experience in simulation driven AI, where models learn from grid behavior and weather scenarios. A person in this role could gain hands on exposure to data pipelines, anomaly detection, and how AI assists predictive maintenance for utilities. That experience is useful for later roles in energy analytics, grid resilience, or applied AI in critical infrastructure.

Worth showing

• Energy systems knowledge
• Simulation tool familiarity
• Clear technical communication
• Data analysis basics

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.