Engineering Site Lead

Perplexity
London
Workplace: HybridFull timeFunction: Administration & Executive AssistanceExperience: 10+ yearsSkills: ["Communication","Stakeholder management","Leadership","Mentorship","Team building"]

Establish and scale Perplexity’s London office by building engineering culture and leading infrastructure and AI infrastructure teams. Serve as the primary point of contact for London activities, set technical direction for infrastructure initiatives, and drive architectural and operational excellence across deployment, monitoring, scalability, and reliability for AI/ML workloads. Partner with global engineering, product, research, and leadership to align standards, deliver cross-site solutions, and hire and grow teams from the ground up.

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Perplexity
Perplexity
3 hours ago

Engineering Site Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Establish and scale Perplexity’s London office by building engineering culture and leading infrastructure and AI infrastructure teams. Serve as the primary point of contact for London activities, set technical direction for infrastructure initiatives, and drive architectural and operational excellence across deployment, monitoring, scalability, and reliability for AI/ML workloads. Partner with global engineering, product, research, and leadership to align standards, deliver cross-site solutions, and hire and grow teams from the ground up.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Establish and lead Perplexity’s London office, setting the cultural foundation and operating principles.
  • •Directly manage and mentor one or more infrastructure or AI infrastructure teams (5–15+ engineers).
  • •Set technical direction and strategy for London infrastructure initiatives, driving architectural decisions and technical excellence.
  • •Ensure robust infrastructure for deployment, monitoring, scalability, and reliability supporting AI/ML workloads.
  • •Build and scale teams through hiring and a talent acquisition strategy, plus career development frameworks and knowledge sharing.

Pay and Benefits

Perks:Equity

Key Requirements

  • •10+ years of software engineering experience with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles.
  • •3+ years of people management experience building and scaling teams.
  • •Proven track record of establishing or significantly growing an engineering site or office.
  • •Deep expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation.
  • •Experience supporting large-scale AI/ML systems including GPU infrastructure, orchestration, ML training/inference pipelines, and model serving/deployment at scale.
Experience:10+ yearsAI/MLSearchConsumer applicationsGPU infrastructureCloud infrastructureInfrastructure automation
Skills:CommunicationStakeholder managementLeadershipMentorshipTeam building
Tech Stack:AWSGCPAzureKubernetesTerraformContainer orchestrationCI/CDDeploymentMonitoringGPU infrastructureML trainingML inferenceModel servingAI/ML

Company Brief

Perplexity
Perplexity AI provides an AI-powered answer engine that returns conversational, citation-backed answers to user queries and offers Pro/Enterprise products and APIs for research, knowledge work, and search augmentation.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Revenue: USD 50M to 100M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2022
Glassdoor
Glassdoor: 4.6
WebsiteLinkedInGlassdoor