A leading tech firm in Greater London is seeking a specialist to architect automated evaluation pipelines for high-quality answers. The ideal candidate must possess a PhD or MS in a technical field and have at least 4 years of experience in data science or machine learning. You should be proficient in Python and SQL and comfortable with AWS and Databricks. This role will require you to design evaluation sets to improve overall answer quality and contribute to product changes based on evaluation metrics.
22/07/2026
Full time
A leading tech firm in Greater London is seeking a specialist to architect automated evaluation pipelines for high-quality answers. The ideal candidate must possess a PhD or MS in a technical field and have at least 4 years of experience in data science or machine learning. You should be proficient in Python and SQL and comfortable with AWS and Databricks. This role will require you to design evaluation sets to improve overall answer quality and contribute to product changes based on evaluation metrics.
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.
22/07/2026
Full time
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.
Perplexity is looking for a Site Lead to establish and scale its London office. This pivotal role involves building teams and fostering a collaborative culture while driving innovation in AI infrastructure. As Site Lead, you will manage engineering teams, align with global goals, and represent Perplexity in the London tech community. The ideal candidate has extensive experience in software engineering and a proven track record in infrastructure management. This role offers a hybrid work environment and competitive compensation.
22/07/2026
Full time
Perplexity is looking for a Site Lead to establish and scale its London office. This pivotal role involves building teams and fostering a collaborative culture while driving innovation in AI infrastructure. As Site Lead, you will manage engineering teams, align with global goals, and represent Perplexity in the London tech community. The ideal candidate has extensive experience in software engineering and a proven track record in infrastructure management. This role offers a hybrid work environment and competitive compensation.
A leading tech firm in Greater London is seeking a Software Engineer to build systems and pipelines that enhance data quality. The role requires over 3 years of experience in software engineering, particularly with Python and SQL. You will have the opportunity to shape how the company measures and improves answer quality, making a direct impact in a high-impact team environment. Experience with big data systems and AWS is essential, with familiarity in coding workflows being a plus.
11/07/2026
Full time
A leading tech firm in Greater London is seeking a Software Engineer to build systems and pipelines that enhance data quality. The role requires over 3 years of experience in software engineering, particularly with Python and SQL. You will have the opportunity to shape how the company measures and improves answer quality, making a direct impact in a high-impact team environment. Experience with big data systems and AWS is essential, with familiarity in coding workflows being a plus.
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As our product evolves, our evaluations must remain fast, accurate, and actionable. In this role, you will build the data flywheel that serves teams across Perplexity. Responsibilities Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks Take ownership of the "evals-to-product" loop, autonomously determining the best way to turn raw signals into durable datasets that power decision making across the company Build a robust simulator pipeline capable of replaying user interactions with the product in formats legible to LLMs and VLMs, reflecting product changes as they are shipped Maintain data trust by implementing monitoring, lineage, and quality checks, ensuring downstream consumers can rely on the results implicitly Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality Qualifications 3+ years of software engineering experience shipping production systems Strong proficiency in Python and SQL with the ability to write production grade, maintainable code Experience with big data systems including distributed compute and large-scale storage Solid fundamentals in data modeling, system design, and debugging distributed systems Experience with AWS and lakehouse ecosystems like Databricks or Spark Comfortable with agentic coding workflows and using AI assisted development tools to iterate faster Preferred Qualifications Data engineering background including pipelines, orchestration, and warehousing patterns Familiarity with LLM/VLM interfaces, tokenization, structured formats, and multimodal payloads Experience with evaluation platforms, experimentation systems, or machine learning infrastructure Prior work supporting customer facing products at scale
11/07/2026
Full time
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As our product evolves, our evaluations must remain fast, accurate, and actionable. In this role, you will build the data flywheel that serves teams across Perplexity. Responsibilities Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks Take ownership of the "evals-to-product" loop, autonomously determining the best way to turn raw signals into durable datasets that power decision making across the company Build a robust simulator pipeline capable of replaying user interactions with the product in formats legible to LLMs and VLMs, reflecting product changes as they are shipped Maintain data trust by implementing monitoring, lineage, and quality checks, ensuring downstream consumers can rely on the results implicitly Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality Qualifications 3+ years of software engineering experience shipping production systems Strong proficiency in Python and SQL with the ability to write production grade, maintainable code Experience with big data systems including distributed compute and large-scale storage Solid fundamentals in data modeling, system design, and debugging distributed systems Experience with AWS and lakehouse ecosystems like Databricks or Spark Comfortable with agentic coding workflows and using AI assisted development tools to iterate faster Preferred Qualifications Data engineering background including pipelines, orchestration, and warehousing patterns Familiarity with LLM/VLM interfaces, tokenization, structured formats, and multimodal payloads Experience with evaluation platforms, experimentation systems, or machine learning infrastructure Prior work supporting customer facing products at scale
Perplexity is looking for a skilled professional to manage and enhance our cloud infrastructure. The successful candidate will lead the technical strategy, ensuring robust cloud networking and efficient compute platforms that support both consumer and enterprise needs. A strong background in AWS, Kubernetes, and incident management is essential, along with 7+ years of industry experience. This role offers the opportunity to influence our infrastructure's design and implementation for optimal performance.
05/07/2026
Full time
Perplexity is looking for a skilled professional to manage and enhance our cloud infrastructure. The successful candidate will lead the technical strategy, ensuring robust cloud networking and efficient compute platforms that support both consumer and enterprise needs. A strong background in AWS, Kubernetes, and incident management is essential, along with 7+ years of industry experience. This role offers the opportunity to influence our infrastructure's design and implementation for optimal performance.
About the Role The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers. As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises. Key Responsibilities Own the roadmap and technical strategy for agent-driven cloud infrastructure management. Design and operate Perplexity's cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads. Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions. Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails. Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks. Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers. Develop automation, tooling, and runbooks that make day 2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments. Qualifications Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity). Strong background with Kubernetes/EKS and container orchestration, including multi cluster, multi region, or multi account setups. Hands on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds). Experience building or operating secure, isolated environments for enterprise customers (single tenant, BYOC, or on prem), ideally including BYOK/KMS integrations and compliance constraints. Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling. Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root cause analysis and long term fixes. 7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations. If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
04/07/2026
Full time
About the Role The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers. As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises. Key Responsibilities Own the roadmap and technical strategy for agent-driven cloud infrastructure management. Design and operate Perplexity's cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads. Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions. Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails. Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks. Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers. Develop automation, tooling, and runbooks that make day 2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments. Qualifications Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity). Strong background with Kubernetes/EKS and container orchestration, including multi cluster, multi region, or multi account setups. Hands on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds). Experience building or operating secure, isolated environments for enterprise customers (single tenant, BYOC, or on prem), ideally including BYOK/KMS integrations and compliance constraints. Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling. Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root cause analysis and long term fixes. 7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations. If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.