Perplexity

1 month 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

Job Summary

Lead and scale Perplexity’s London office, building and mentoring infrastructure and AI infrastructure teams while setting technical direction and standards. Drive deployment, monitoring, and reliability for AI/ML workloads; partner with global engineering leaders; shape culture, hiring, and cross-site collaboration to establish London as a strategic, high-performance hub.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Manager level

Key Responsibilities

•Establish and lead the London office, setting cultural foundations and operating principles while representing the site in company-wide discussions
•Build a collaborative, high-performance engineering culture aligned with company values and the London tech ecosystem
•Serve as the primary contact for all London activities and partner with People/HR, Finance, and Operations for seamless site operations
•Drive local community engagement, partnerships, and Perplexity’s brand presence in London and the European tech community
•Directly manage and mentor infrastructure or AI infrastructure teams in London (5-15+ engineers) and set technical direction for London-based initiatives

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityBenefits

Key Requirements

•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 orchestration, ML training and inference pipelines, and model serving; strong knowledge of Kubernetes, Terraform, container orchestration, and CI/CD

Experience:10+ yearsAI infrastructureInfrastructureCloud computing

Skills:LeadershipCommunicationStakeholder managementMentoringTeam building

Tech Stack:AWSGCPAzureKubernetesTerraformCI/CDGPU orchestrationML pipelinesModel servingDocker

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: 4.6

Website LinkedIn Glassdoor

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Perplexity

1 month 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

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Manager level

Key Responsibilities

•Establish and lead the London office, setting cultural foundations and operating principles while representing the site in company-wide discussions
•Build a collaborative, high-performance engineering culture aligned with company values and the London tech ecosystem
•Serve as the primary contact for all London activities and partner with People/HR, Finance, and Operations for seamless site operations
•Drive local community engagement, partnerships, and Perplexity’s brand presence in London and the European tech community
•Directly manage and mentor infrastructure or AI infrastructure teams in London (5-15+ engineers) and set technical direction for London-based initiatives

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityBenefits

Key Requirements

•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 orchestration, ML training and inference pipelines, and model serving; strong knowledge of Kubernetes, Terraform, container orchestration, and CI/CD

Experience:10+ yearsAI infrastructureInfrastructureCloud computing

Skills:LeadershipCommunicationStakeholder managementMentoringTeam building

Tech Stack:AWSGCPAzureKubernetesTerraformCI/CDGPU orchestrationML pipelinesModel servingDocker

Company Brief

Perplexity

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: 4.6

Website LinkedIn Glassdoor