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Engineering Site Lead

perplexity

London
Uncategorized

Job Score

70 pts
On-site model (+70)

Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe.

The Role:

We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems.

As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.

 

The individual in this role will manage teams in LON themselves while also facilitating.

 

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 that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem

  • Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions

  • Partner with People/HR, Finance, and Operations to ensure seamless site operations

  • Drive local community engagement, partnerships, and Perplexity's brand presence in the London and 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 in alignment with company-wide goals

  • Drive architectural decisions and technical excellence across teams

  • Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads

  • Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives

 

Team Building & Talent:

  • Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring

  • Develop and execute talent acquisition strategy for the London site in partnership with recruiting

  • Create career development frameworks and growth opportunities for engineers

  • Foster technical mentorship and knowledge sharing across teams and sites

 
 

Cross-functional Collaboration:

  • Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions

  • Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration

  • Contribute to company-wide infrastructure strategy and roadmap planning

  • Facilitate knowledge transfer and best practice sharing across global teams

Qualifications:

Required

  • 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

Preferred

  • Experience at companies focused on AI/ML, search, or large-scale consumer applications

  • Previous experience as a site lead, office lead, or similar multi-team leadership role

  • Background in building infrastructure for LLM training or inference

  • Contributions to open-source infrastructure or AI infrastructure projects

  • Experience scaling teams from 0 to 20+ engineers

  • Active involvement in the London or European tech community

  • MBA or advanced technical degree

What Success Looks Like:

30 Days

  • Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure

  • Established relationships with key stakeholders across engineering, product, and leadership

  • Initial hiring plan and culture strategy for London site established

  • Help the Search, API, AI and Infra teams build out their hiring pipelines

 

90 Days

  • Core infrastructure team established and ramping in London

  • Clear technical roadmap and priorities defined for London-based teams

  • Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs)

  • London office actively participating in company-wide infrastructure initiatives

 

1 Year

  • London site operating as a high-functioning hub with 15-30+ engineers

  • Infrastructure teams delivering measurable impact on system reliability, performance, and scalability

  • Strong talent brand established in London market with healthy hiring pipeline

  • London recognized internally as a strategic site contributing to Perplexity's technical leadership

 

Why Join Perplexity

  • Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company

  • Work on cutting-edge AI infrastructure challenges at massive scale

  • Shape the culture and technical direction of an entire office

  • Competitive compensation including equity

  • Comprehensive benefits package

  • Flexible work environment

  • Opportunity to make a significant impact on how millions of people access and interact with information

Location: London, United Kingdom (Hybrid) 

Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Expert Tip

The 2026 AI Boom: The Most Valuable Tech Careers and How to Land Six-Figure Remote Jobs

We are halfway through 2026, and one thing is crystal clear: the "experimental" phase of Artificial Intelligence is officially over. While 2023 and 2024 were characterized by awe over chatbots drafting emails and generating images, 2026 has solidified AI as the core infrastructure of global enterprises. The transition from standalone "AI tools" to Autonomous Agents and Multi-Agent Systems has radically transformed the job market.

For Tech, Design, and Digital Marketing professionals across the United States, 2026 represents the greatest window of opportunity of the decade to secure top-tier, 100% remote roles with highly lucrative six-figure compensations.

In this article, we will break down the current AI job landscape, backed by recent data, and list the top careers that startups and Fortune 500 companies are desperately trying to fill.

The Current Landscape: 2026 Data and Projections

The market isn't just hiring standard developers anymore; it's hiring intelligence orchestrators. According to recent Future of Work reports:

  • Exponential Growth: The World Economic Forum (WEF) 2026 update highlights that roles focused on AI, Machine Learning, and Big Data have grown by 45% compared to 2024, cementing them as the fastest-growing fields nationwide.
  • Corporate Adoption: Data published by Gartner earlier this year reveals that over 80% of Fortune 500 companies are now running Generative AI applications in production environments. This has created a massive demand for AI maintenance, ethics, and governance.
  • The Remote Premium: An internal analysis from Mondywork's database (which tracks integrations with major ATS platforms like Greenhouse and Ashby) shows that 73% of US-based AI roles are Remote-First. The average salary for senior specialists in these roles currently exceeds the $140,000 to $180,000 annual range, plus equity.

The 5 Hottest AI Opportunities in 2026

If you want to tailor your resume and LinkedIn profile to be easily captured by modern recruiting algorithms, these are the positions with the highest talent deficit in the US market right now:

1. MLOps and LLMOps Engineers (Operations Engineering)

Large Language Models (LLMs) are like Formula 1 engines: they need a full pit crew to avoid crashing on the track. The industry has realized that putting AI into production is vastly different from running a local model.

  • What they do: Manage infrastructure, oversee the model lifecycle, handle fine-tuning with proprietary company data, and ensure the AI does not suffer from large-scale hallucinations.
  • Hot Search Terms: MLOps, LLMOps, Platform Engineering, Data Ops, Kubernetes for AI.

2. Prompt Engineer & AI Interaction Designer

The profession many thought would be a passing fad has heavily evolved. The 2026 Prompt Engineer is not just someone who "talks well to machines"; they are complex logical system designers.

  • What they do: Sitting at the intersection of Software Engineering and UX Design, these professionals design system prompts for Autonomous Agents, build RAG (Retrieval-Augmented Generation) flows, and structure how AI safely interacts with end-users.
  • Hot Search Terms: Prompt Engineering, NLP, AI Behavior Design, UX Writer for AI.

3. Analytics Engineer / Structured Data Specialist

AI is completely useless without clean data. The classic Data Scientist role has yielded massive ground to the Analytics Engineer, the professional who bridges the gap between raw data engineering and business analysis.

  • What they do: Prepare, model, and transform chaotic data lakes into crystal-clear sources so enterprise AI models can consume data and generate real-time insights.
  • Hot Search Terms: Analytics Engineer, dbt, Snowflake, Computer Vision, BigQuery.

4. AI Product Manager (AI PM)

Companies are tired of building AI features "just because." Now, they need these features to drive serious revenue (ROI). The AI-focused Product Manager is the conductor of this orchestra.

  • What they do: Understand the technical limitations of modern LLMs, translate user pain points into viable AI solutions, and manage the product roadmap while ensuring the technology complies with strict privacy laws (like CCPA and GDPR).
  • Hot Search Terms: AI Product Manager, CPO, Product Ops, AI Governance.

5. AI Growth Marketer / High-Performance Media Buyer

In the digital marketing realm, 2026 is the year of autonomous campaign orchestration. Marketers still relying on 100% manual campaign creation are rapidly losing ground to those who can direct predictive AI.

  • What they do: Leverage Machine Learning and advanced AI tools for autonomous Conversion Rate Optimization (CRO), automated A/B testing, mass content generation, and predictive consumer behavior analysis.
  • Hot Search Terms: Growth Marketing, Media Buyer, Programmatic, AI Copywriting, Martech.

How to Prepare and Get Found (Beating the ATS Filters)

US companies utilize incredibly rigorous Applicant Tracking Systems (ATS) like Workday, Greenhouse, and Lever. They configure recruiting bots to filter resumes using fine-mesh keyword grids.

If you want to land these highly competitive roles, the golden rule is to mirror the exact industry jargon:

  • Don't just write "Data Analyst"; use "Data Ops" or "Analytics Engineer".
  • Don't just list "Cloud Support"; highlight "FinOps", "Cloud Architect", or "Platform Engineer".
  • Replace the outdated "Digital Marketer" with "Growth Ops" or "Performance Manager".

Mondywork Does the Heavy Lifting for You

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Macroeconomic Reference Sources:

  • World Economic Forum - The Future of Jobs Report 2026 Update.
  • Gartner - Hype Cycle for Artificial Intelligence, 2026.
  • McKinsey Global Institute - The Economic Potential of Generative AI (Revisited 2026).