People and Talent Manager

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Artificial Intelligence • Information Technology • Software • Generative AI
The Role
Lead end-to-end recruiting for specialized researchers, machine learning professionals, engineers, and other technical talent. Build sourcing networks, partner with founders and hiring managers, manage candidate experience, and own employee lifecycle processes. Develop onboarding, performance, development, HR, culture, and people operations programs across London and Munich while using people data to improve processes and support workforce planning.
Summary Generated by Built In

SpAItial is building world models that understand and generate 3D environments. Our work brings together generative AI, computer vision and graphics, with potential applications across robotics, entertainment and spatial computing.

We’re looking for a People & Talent Manager to help us build an exceptional team and a company where that team can do its best work. Recruiting will be your first priority. You’ll personally lead searches for researchers and engineers, including people with PhDs and postdoctoral experience, and help our founders make excellent hiring decisions. You’ll also own and develop our people, HR and culture processes as we grow across London and Munich.

This is a hands-on role with considerable scope. You’ll join the Operations team and have the opportunity to shape the people function from an early stage.

Responsibilities
  • Own hiring from role definition to accepted offer, initially focusing on research, machine learning, engineering and other highly technical roles.

  • Find and engage researchers and engineers through direct sourcing, referrals, academic networks, research conferences and industry communities.

  • Partner with founders and hiring managers to understand specialist work, define what success looks like and assess candidates consistently.

  • Give candidates clear communication and a thoughtful experience throughout the process.

  • Own the employee lifecycle, including onboarding, offboarding, people records and the processes that support employees day to day.

  • Develop practical approaches to performance, feedback, development and manager support as the team grows.

  • Help build a strong culture across our London and Munich teams.

  • Maintain clear people policies and processes, working with Operations and local advisers where specialist employment guidance is needed.

  • Use hiring and people data to identify problems, improve processes and help the leadership team plan ahead.

Key qualifications
  • 4+ years of experience in talent acquisition, people operations or a related role, with a strong record of personally recruiting for tech teams.

  • Demonstrated experience sourcing and hiring PhD level researchers, postdoctoral researchers or research scientists, alongside highly specialised engineers.

  • The ability to understand research profiles, publications and technical career paths well enough to engage credible candidates and earn hiring managers’ trust.

  • Experience owning or building people processes beyond hiring, such as onboarding, performance, employee development or HR operations.

  • Sound judgment, discretion and empathy when handling sensitive people matters.

  • Strong organisation and follow-through: you can manage several searches and people priorities without losing detail.

  • A practical, proactive approach to building processes that work for a growing company.

Nice to have
  • Experience hiring in machine learning, computer vision, graphics, robotics or related fields.

  • Relationships with relevant universities, research labs or deep tech communities.

  • Experience in an early-stage or rapidly growing technology company.

  • Experience supporting teams across both the UK and Germany.

At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

Skills Required

  • 4+ years of experience in talent acquisition, people operations, or a related role, with a strong record of recruiting for technology teams
  • Experience sourcing and hiring PhD-level researchers, postdoctoral researchers, research scientists, and highly specialized engineers
  • Ability to understand research profiles, publications, and technical career paths sufficiently to engage candidates and build hiring-manager trust
  • Experience owning or building people processes beyond hiring, such as onboarding, performance, employee development, or HR operations
  • Sound judgment, discretion, and empathy when handling sensitive people matters
  • Strong organization and follow-through when managing multiple searches and people priorities
  • Practical and proactive approach to building processes for a growing company
  • Experience hiring in machine learning, computer vision, graphics, robotics, or related fields
  • Relationships with relevant universities, research labs, or deep-tech communities
  • Experience in an early-stage or rapidly growing technology company
  • Experience supporting teams across the United Kingdom and Germany
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The Company
HQ: London
14 Employees
Year Founded: 2024

What We Do

SpAItial is pioneering Spatial Foundation Models (SFMs), a groundbreaking AI paradigm designed to generate and reason about the appearance and physics of real and imagined environments. SFMs possess an intrinsic understanding of space-time, enabling transformative shifts in applications at the intersection of virtual and physical worlds. Unlike existing generative AI technologies such as LLMs, image, or video models, SFMs operate natively in physical space. This significantly advances their cognitive capabilities, which mimics human understanding. SFMs promise to revolutionize various applications across industries, from creating immersive virtual worlds for gaming and entertainment, to advancing CAD engineering and construction, to powering next-generation VR/AR experiences, and enabling sophisticated, physically-intelligent robotics.

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