Learning Experience Partner (AI)

TL;DR

Learning Experience Partner (AI): Designing and scaling learning strategies to accelerate technical performance and leadership capability within an embodied AI company with an accent on stakeholder partnership and scalable L&D solutions. Focus on building high-impact training programs, evaluating LMS options, and embedding a high-performance, feedback-driven culture.

Location: Hybrid in London, United Kingdom

Company

hirify.global is a leading developer of Embodied AI technology creating mapless, hardware-agnostic AI products for automated driving.

What you will do

• Partner with engineering, operations, and business leaders to identify capability gaps and design L&D strategies aligned with business priorities.
• Design and implement high-impact programs for technical upskilling, leadership development, and onboarding.
• Scale the approach for manager effectiveness and drive initiatives around feedback and team performance.
• Assess and implement Learning Management Systems (LMS) and manage external learning vendors.
• Define success metrics to evaluate the impact of learning initiatives and align outcomes with business goals.
• Embed a culture of continuous learning, experimentation, and feedback across the organization.

Requirements

• Proven experience in strategic L&D or Talent Development, ideally within a tech scale-up environment.
• Experience partnering with senior leaders in product, engineering, or operations.
• Expertise in skills needs analysis and designing L&D programs from scratch alongside subject matter experts.
• Strong knowledge of L&D principles, frameworks, eLearning platforms, and authoring tools.
• Commercial mindset with the ability to link learning initiatives to business outcomes.
• Must be based in London to support the hybrid working model.

Nice to have

• Experience working in AI, deep tech, or engineering-led organizations.
• Strong delivery and facilitation skills.

Culture & Benefits

• Hybrid working policy combining office collaboration with remote flexibility.
• Core working hours allowing employees to determine a schedule that works best for their team.
• Inclusive environment that values diversity, new perspectives, and mutual support.
• Opportunity to work in a fast-paced environment solving complex, groundbreaking challenges in autonomous driving.