# Head of Field Research Operations at Halter

Halter is hiring a Head of Field Research Operations in Auckland, New Zealand. Level rates it Works on AI ●●●○; you can [apply on Halter](https://jobsbylevel.com/go/8cf2a5f9-9695-438b-a182-16ddce6eda68?utm_medium=ai-agent).

AI Level 3, AI centrality 60 out of 100. Auckland.

## Details

- Company: [Halter](https://jobsbylevel.com/companies/halter)
- AI level: AI Level 3 (score 60 out of 100)
- Location: Auckland
- Posted: October 30, 2026
- Apply: https://jobsbylevel.com/go/8cf2a5f9-9695-438b-a182-16ddce6eda68?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=head-of-field-research-operations-at-halter-51a7b4

## Prepare for this job

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## Description

About Halter At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund , Bessemer Venture Partners , BOND, DCVC , Blackbird , Promus Ventures , Rocket Lab’s Peter Beck and Icehouse ventures . To find out more, visit our LinkedIn & Instagram . Take ground-truth measurement from one country to three continents. Auckland, New Zealand. Global remit. Halter's collars are on millions of cattle across New Zealand, Australia and the United States (among other countries). The machine learning models behind them tell farmers how much grass is in each paddock, how much each animal is eating, when a cow is in heat, when she is calving, and when she is unwell. Behind every one of those models is ground truth gathered on real farms: measurements taken by people in paddocks and yards, and sensors we have placed to capture what people cannot. Today that ground truth is gathered by a small team based in New Zealand. Over the next twelve months, that team needs to grow into a global field research operation: measurement crews in three countries, a sensor network across our research farms, and partnerships with farmers and universities. Holding it together is a quality standard that you will define and every crew will meet, so that a model trained on Waikato grass works on a Texas ranch. More and better ground truth is how our models learn to do more: every new measurement we get right opens up something new we can tell farmers about their animals and their land. Nobody has built a global ground-truth operation for livestock and pasture before. There is no playbook: you will write it, fast, without losing sight of the quality that makes our models industry leading. What you'll own The strategy. Our machine learning roadmap defines what models we will build. You turn that into a plan for the ground truth they need: which measurements, which farming systems, which countries, in what order. When the evidence changes, you change the plan. The standard. You design the measurement protocols every region works to, the quality checks every dataset must pass, and the process for changing either. Your standard is what lets us treat a pasture measurement in Southland and one in Victoria as the same number. The team. You hire and lead Regional Data Operations Leads in New Zealand, Australia and the United States. You build the training, career paths and culture of the function. The capacity and the budget. You plan people, equipment, farms and partnerships so that the models are never waiting on data, and you own the budget that pays for it. The relationships. You set how we work with the farmers who host us and the universities and research groups we collaborate with. The answer to "is the data the problem?" When a model underperforms, you are the person who can say, with evidence, whether the ground truth is the reason. You are the senior voice for measurement inside Halter. You will spend a real share of your time on farms in each region, because the standards you set have to survive contact with a wet August morning in Taranaki. Who this is for You have stood up a a function analogous to a

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