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Engineering Site Lead

Perplexity AI · London, United Kingdom

On-siteImported listingfull-timeabout 1 month ago

About The Role

Join Perplexity as the Engineering Site Lead in London. You'll establish and scale our London office, build a high-performance engineering culture, and directly manage infrastructure teams. This role requires deep technical expertise, people management experience, and a passion for building inclusive teams.

  • Establish and lead Perplexity's London office, setting the cultural foundation and operating principles.
  • Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem.
  • Directly manage and mentor one or more infrastructure or AI infrastructure teams in London, setting technical direction and strategy for London-based initiatives.
  • MBA or advanced technical degree
  • 3+ years of people management experience, including building and scaling teams
  • Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation
  • Background in building infrastructure for LLM training or inference
  • Previous experience as a site lead, office lead, or similar multi-team leadership role
  • Experience at companies focused on AI/ML, search, or large-scale consumer applications
  • 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles
  • Active involvement in the London or European tech community
  • Demonstrated ability to set technical vision and drive execution across multiple teams
  • ML training and inference pipelines
  • Experience scaling teams from 0 to 20+ engineers
  • Excellent communication and stakeholder management skills
  • Contributions to open-source infrastructure or AI infrastructure projects
  • Passion for building inclusive, diverse, and high-performing teams
  • GPU infrastructure and orchestration
  • Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems
  • Experience with infrastructure supporting large-scale AI/ML systems, including:
  • Model serving and deployment at scale
  • Proven track record of establishing or significantly growing an engineering site or office
  • Experience working in fast-paced, high-growth technology companies

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