Hive Autonomy

United Kingdom
32 Total Employees
Year Founded: 2020

Jobs at Hive Autonomy

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Recently posted jobs

2 Days AgoSaved
In-Office
London, Greater London, England, GBR
Artificial Intelligence • Logistics • Robotics • Automation
Own the commercial rollout of Hive’s supervised autonomy platform across a major European building materials customer. Develop site-by-site rollout plans, business cases, pricing, KPIs, and governance; manage executive and site-level stakeholders; coordinate with Delivery, Product, and Engineering; and ensure each site is commercially ready, profitable, and transitioned effectively. The role also establishes Hive’s repeatable model for managing global strategic accounts.
2 Days AgoSaved
In-Office
London, Greater London, England, GBR
Artificial Intelligence • Logistics • Robotics • Automation
Build and lead Hive’s UK and Ireland sales market for autonomous heavy machinery. Close expansions with flagship customers, win new quarry and industrial accounts, develop pipeline, manage complex multi-stakeholder deals end to end, handle technical questions, and create the UK sales playbook. The role requires extensive travel to quarries, plants, construction sites, and customer locations.
2 Days AgoSaved
In-Office
London, Greater London, England, GBR
Artificial Intelligence • Logistics • Robotics • Automation
Designs and integrates electrical systems connecting Hive autonomy hardware to customer vehicles. Responsibilities include vehicle architecture analysis, wiring harness and power distribution design, CAN and J1939 interfaces, component selection, electrical documentation, validation, safety reviews, troubleshooting, and on-site bring-up. The role also guides technicians through installation and rework, supports customer deployments, and develops reusable electrical integration standards.
One Month AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Logistics • Robotics • Automation
Build a machine-agnostic physical AI platform to enable autonomous operation of existing industrial equipment. Work spans vision-language models, low-latency control systems, edge and cloud inference pipelines, embedded firmware, hardware retrofits, computer vision, and infrastructure/SRE to deploy autonomy at scale across logistics, manufacturing, and chemical production.