EMEA Talent Acquisition Partner (Engineering)

Permanent contract
London
Salary: Not specified
Experience: > 5 years
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Shield AI
Shield AI

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Questions and answers about the job

The position

Job description

  • We are looking for a highly strategic and execution-focused EMEA Talent Acquisition Partner to help scale some of the most critical engineering hiring within the company
  • This person will own full-cycle recruiting for complex software engineering functions with a particular emphasis on Autonomy, Robotics, Embedded Software, Perception, Planning, Controls, Distributed Systems, and other highly specialized technical domains supporting next-generation aerospace and autonomous systems development
  • This is not a traditional recruiting role
  • We are looking for someone who can operate as a true talent partner to engineering leadership — helping shape hiring strategy, influence workforce planning, drive prioritization discipline, and build scalable pipelines for some of the hardest-to-hire technical talent in the industry
  • The ideal candidate thrives in high-growth, high-ambiguity environments and brings a strong track record of closing senior and niche software engineering talent while balancing speed, quality, and stakeholder partnership
  • Own full-cycle recruiting for highly specialized software engineering roles across Autonomy, Robotics, Perception, Planning, Embedded Software, Distributed Systems, Simulation, Machine Learning, Infrastructure, and related technical domains
  • Build and execute proactive sourcing strategies for difficult-to-find technical talent across aerospace, defense, robotics, autonomous systems, automotive, AI/ML, and adjacent industries
  • Act as a strategic advisor to leadership on market trends, talent availability, compensation competitiveness, and hiring risks
  • Drive strong operational rigor across pipeline management, funnel health, data accuracy, and stakeholder communication
  • Help influence workforce planning and ensure hiring activity remains aligned to approved business priorities
  • Improve recruiting scalability through process improvements, documentation, interview calibration, and tooling optimization
  • Deliver an exceptional candidate experience while maintaining urgency and high hiring quality standards

Benefits

  • Excellent Medical Coverage
  • Mental Health Employee Assistance Program
  • Paid Parental Leave
  • Pet Insurance
  • Flexible Work Hours
  • Onsite Gym (DC)
  • Gym Discount (San Diego)
  • Free Parking
  • Competitive Compensation
  • Stock Benefits
  • 401K Services and Match

Preferred experience

  • Excellent communication, stakeholder management, and operational execution skills
  • Experience using ATS systems, sourcing platforms, and recruiting analytics to drive decisions and pipeline visibility
  • Ability to operate strategically while remaining highly execution-oriented
  • Strong sourcing and market-mapping capabilities across highly competitive technical domains
  • Strong understanding of software engineering concepts, technical architectures, and engineering organizational structures
  • 8+ years of full-cycle technical recruiting experience, including significant ownership of complex software engineering searches across the EMEA region
  • Proven success recruiting Software Engineers, Autonomy Engineers, Robotics Engineers, Embedded Software Engineers, Perception Engineers, Infrastructure Engineers, Machine Learning Engineers, or similar technical talent
  • Experience partnering with senior engineering leadership in fast-paced or high-growth environments
  • Demonstrated ability to manage multiple complex searches simultaneously while maintaining strong hiring outcomes
  • Experience influencing workforce planning, prioritization, or recruiting operations
  • Experience supporting hiring at scale during periods of rapid organizational growth
  • Familiarity with autonomy stacks, robotics systems, embedded software development, distributed systems, simulation environments, or machine learning workflows
  • Experience recruiting within aerospace, defense, robotics, autonomous systems, AI/ML, automotive, or other highly technical industries

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