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Business Development Representative

seeo.ai

Auckland, New Zealand · Full Time

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Experience
Any
Salary
Openings
1
Posted
3 hours ago

Where you'll work

Job description

Role overview

This Auckland-based position is for a driven business development professional who can pair classic sales capability with AI-enabled tools to work more efficiently, stay focused, and improve results. The ideal person is a true hunter, comfortable with challenger-style selling and interested in how AI can sharpen outreach and follow-up.

What you'll do

  • Create fresh business opportunities across New Zealand and Australia.
  • Approach prospects in sectors such as manufacturing, warehousing, logistics, construction, food processing, and other operational settings.
  • Engage with business owners, safety leaders, operations managers, and site leaders.
  • Use AI-supported tools to research target companies, map key decision-makers, prepare outreach, and strengthen follow-up activity.
  • Convert market insight, sales instinct, and consistent activity into a healthy pipeline.
  • Learn to position seeo as a practical solution for safety, workflow improvements, and operational visibility.
  • Work alongside internal technical and leadership teams to help turn leads into lasting customer relationships.

What the company is looking for

  • Solid sales background, preferably in B2B, technology, industrial, safety, operational, or service-led environments.
  • Confidence in prospecting and generating opportunities through cold outreach.
  • Ability to establish trust quickly and hold informed conversations with senior stakeholders.
  • Strong commercial judgement and the discipline to keep a pipeline moving.
  • Openness to using AI tools for research, outreach, planning, productivity, and sales effectiveness.
  • Resilience, self-drive, and persistence when sales cycles are longer than expected.
  • A full, clean driver licence and readiness to travel.

About the product

seeo is a workplace safety and workflow intelligence platform built with AI, computer vision, and operational data from real-world sites. It helps organisations understand how work is actually being carried out, compare intended processes with day-to-day execution, identify risks, improve operations, and build evidence-based learning loops that support people and performance.

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