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Engineering Site Lead

Perplexity· AI Research & Systems
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LondonFull-timePosted 2mo ago

About the role

Site Lead to establish and scale Perplexity's London office, building teams and culture while driving technical excellence in infrastructure and AI systems.

Responsibilities

  • Site Leadership & Culture: Establish and lead Perplexity's London office, setting the cultural foundation and operating principles; Build a collaborative, high-performance engineering culture; Serve as the primary point of contact for all London-based activities; Partner with People/HR, Finance, and Operations to ensure seamless site operations; Drive local community engagement, partnerships, and brand presence in London/European tech community
  • Technical Leadership: Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers); Set technical direction and strategy for London-based infrastructure initiatives; Drive architectural decisions and technical excellence; Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads; Collaborate with engineering leaders globally on standards and cross-site initiatives
  • Team Building & Talent: Build and scale infrastructure and AI infrastructure teams through strategic hiring; Develop and execute talent acquisition strategy for London site; Create career development frameworks and growth opportunities; Foster technical mentorship and knowledge sharing
  • Cross-functional Collaboration: Partner with Product, Engineering, and Research teams globally; Coordinate with other site leads for cross-site collaboration; Contribute to company-wide infrastructure strategy and roadmap; Facilitate knowledge transfer across global teams

Qualifications

  • 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles
  • 3+ years of people management experience, including building and scaling teams
  • Proven track record of establishing or significantly growing an engineering site or office
  • Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation
  • Experience with infrastructure supporting large-scale AI/ML systems, including GPU infrastructure and orchestration, ML training and inference pipelines, model serving and deployment at scale
  • Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems
  • Demonstrated ability to set technical vision and drive execution across multiple teams
  • Excellent communication and stakeholder management skills
  • Experience working in fast-paced, high-growth technology companies
  • Passion for building inclusive, diverse, and high-performing teams

Skills

Required:Software engineeringInfrastructure managementPeople management

Benefits

  • Competitive compensation including equity
  • Comprehensive benefits package
  • Flexible work environment
Last updated Aug 12, 2026. Interested? Apply on the company site.

About Perplexity

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