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PA
Engineering Site Lead
Perplexity AI · London, United Kingdom
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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