People Operations Lead

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

This role sits at the intersection of People operations, systems, automation, service delivery and employee experience. You will take an existing global People Operations setup and make it simpler, more reliable and more scalable as the company grows.

This is not a role for someone who wants to maintain established HR processes. We are looking for someone who can understand where the current model is creating friction, determine what genuinely needs to change, and then build the systems, processes and team capability required to solve it.

You will work closely with our People Operations, HRIS & Systems, Payroll, Workplace, Business Partnering and Finance teams.

The day-to-day

• Design an end-to-end People Operations process landscape across the full employee lifecycle

• Identify and resolve areas where ownership, processes or controls are unclear or unnecessarily complex

• Build a scalable global operating model while enabling local flexibility where genuinely required

• Establish clear service ownership, service levels and escalation paths across the function

• Partner with the HRIS & Systems team to identify automation opportunities that improve speed, accuracy and employee experience

• Build self-service solutions that improve experience without removing important human judgement

• Use data and operational insight to identify bottlenecks and drive