This role asks for someone who can learn a complex technical platform deeply and turn it into clear positioning, launch plans and demo stories that hold up with expert utility buyers. A solid candidate brings years of product marketing or product management in technical B2B software, excellent writing, and hands on comfort with data heavy tools and datasets. The work spans regions and teams, so the person must adapt the core story for different markets without losing its accuracy.

How it fits the AI era

AI is part of the product itself, used for data classification and scenario analysis, so the marketer must separate real capability from hype and explain it in terms experts accept. The human core stays in judgment: forming a view of why the platform matters, choosing which demo scenarios lead, and knowing what each buyer weighs up. AI can speed drafting and content, but credibility with engineers and customers still comes from understanding how the platform works.

How it builds AI experience





Working here builds practical skill in explaining machine learning applied to physical infrastructure, such as simulating storms and stress across networks. A candidate can strengthen this by studying how AI supports data classification and scenario analysis in grid modelling, and by practising plain explanations that survive an engineer's scrutiny. Hands on work with spatial or engineering datasets would add direct proof of that understanding.

Worth showing

- Technical B2B product marketing
- Positioning and messaging frameworks
- Data heavy software fluency
- Launch planning across regions

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.

📌 Technical Product Marketing Manager (Australia)
🏢 present of AI
📍 Australia