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.
","descriptionPlain":"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.\n\nThe Role:\n\nWe'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.\n\nAs 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.\n\n\n\n\nThe individual in this role will manage teams in LON themselves while also facilitating.\n\n\n\n\nResponsibilities:\n\nSite Leadership & Culture\n\n - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles\n\n - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem\n\n - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions\n\n - Partner with People/HR, Finance, and Operations to ensure seamless site operations\n\n - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community\n\n\n\n\nTechnical Leadership:\n\n - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers)\n\n - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals\n\n - Drive architectural decisions and technical excellence across teams\n\n - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads\n\n - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives\n\n\n\n\nTeam Building & Talent:\n\n - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring\n\n - Develop and execute talent acquisition strategy for the London site in partnership with recruiting\n\n - Create career development frameworks and growth opportunities for engineers\n\n - Foster technical mentorship and knowledge sharing across teams and sites\n\n\n\n\n\n\n\nCross-functional Collaboration:\n\n - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions\n\n - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration\n\n - Contribute to company-wide infrastructure strategy and roadmap planning\n\n - Facilitate knowledge transfer and best practice sharing across global teams\n\nQualifications:\n\nRequired\n\n - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles\n\n - 3+ years of people management experience, including building and scaling teams\n\n - Proven track record of establishing or significantly growing an engineering site or office\n\n - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation\n\n - Experience with infrastructure supporting large-scale AI/ML systems, including:\n\n - GPU infrastructure and orchestration\n\n - ML training and inference pipelines\n\n - Model serving and deployment at scale\n\n - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems\n\n - Demonstrated ability to set technical vision and drive execution across multiple teams\n\n - Excellent communication and stakeholder management skills\n\n - Experience working in fast-paced, high-growth technology companies\n\n - Passion for building inclusive, diverse, and high-performing teams\n\nPreferred\n\n - Experience at companies focused on AI/ML, search, or large-scale consumer applications\n\n - Previous experience as a site lead, office lead, or similar multi-team leadership role\n\n - Background in building infrastructure for LLM training or inference\n\n - Contributions to open-source infrastructure or AI infrastructure projects\n\n - Experience scaling teams from 0 to 20+ engineers\n\n - Active involvement in the London or European tech community\n\n - MBA or advanced technical degree\n\nWhat Success Looks Like:\n\n30 Days\n\n - Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure\n\n - Established relationships with key stakeholders across engineering, product, and leadership\n\n - Initial hiring plan and culture strategy for London site established\n\n - Help the Search, API, AI and Infra teams build out their hiring pipelines\n\n\n\n\n90 Days\n\n - Core infrastructure team established and ramping in London\n\n - Clear technical roadmap and priorities defined for London-based teams\n\n - Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs)\n\n - London office actively participating in company-wide infrastructure initiatives\n\n\n\n\n1 Year\n\n - London site operating as a high-functioning hub with 15-30+ engineers\n\n - Infrastructure teams delivering measurable impact on system reliability, performance, and scalability\n\n - Strong talent brand established in London market with healthy hiring pipeline\n\n - London recognized internally as a strategic site contributing to Perplexity's technical leadership\n\n\n\n\nWhy Join Perplexity\n\n - Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company\n\n - Work on cutting-edge AI infrastructure challenges at massive scale\n\n - Shape the culture and technical direction of an entire office\n\n - Competitive compensation including equity\n\n - Comprehensive benefits package\n\n - Flexible work environment\n\n - Opportunity to make a significant impact on how millions of people access and interact with information\n\nLocation: London, United Kingdom (Hybrid) \n\nPerplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees."},{"id":"1dc97d9e-565e-4079-9fba-40fab14a3602","title":"Member of Technical Staff (iOS Software Engineer)","department":"Mobile","team":"Mobile","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-03-26T21:14:55.180+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/1dc97d9e-565e-4079-9fba-40fab14a3602","applyUrl":"https://jobs.ashbyhq.com/perplexity/1dc97d9e-565e-4079-9fba-40fab14a3602/application","descriptionHtml":"Perplexity AI is looking for an iOS Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for building new experiences and improving the performance of Perplexity’s iOS app.
The ideal candidate should have strong programming skills, an interest in search and large language models, and a passion for delivering a great UX backed by a quality UI.
Responsibilities
You will develop a native iOS app for Perplexity's evolving product
You will define the processes around mobile development, including planning, testing, releasing, and monitoring
You will work with the core team to design and implement novel mobile experiences
Qualifications
5+ years industry experience
Strong Swift fundamentals and a proven track record of working with a modern iOS stack built with Swift, SwiftUI (iOS16+) and UIKit
Enjoys the craft of building nice UI, creating a good UX, and writing reusable and testable code
Understands low-level intricacies, and knows how to profile and measure app performance and speed
Comfortable working with a small, fast-moving team, and must be willing to dive in and take ownership
A passion for iOS development, and enjoys experimenting with what's new with each iteration of iOS and iPadOS
Nice to have
Experience with related platforms like macOS and tools like Mac Catalyst
Experience with WebSockets, HTTP
Experience with concurrency and multithreading (GCD, critical sections, race conditions)
AI is at the heart of what we build, and using it effectively is an expectation for every role here. During interviews, we want to see how you think and make decisions—qualities that will directly influence our AI development. With that in mind, please avoid using AI tools throughout the process unless we indicate otherwise.
","descriptionPlain":"Perplexity AI is looking for an iOS Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for building new experiences and improving the performance of Perplexity’s iOS app.\n\nThe ideal candidate should have strong programming skills, an interest in search and large language models, and a passion for delivering a great UX backed by a quality UI.\n\nResponsibilities\n\n - You will develop a native iOS app for Perplexity's evolving product\n\n - You will define the processes around mobile development, including planning, testing, releasing, and monitoring\n\n - You will work with the core team to design and implement novel mobile experiences\n\nQualifications\n\n - 5+ years industry experience\n\n - Strong Swift fundamentals and a proven track record of working with a modern iOS stack built with Swift, SwiftUI (iOS16+) and UIKit\n\n - Enjoys the craft of building nice UI, creating a good UX, and writing reusable and testable code\n\n - Understands low-level intricacies, and knows how to profile and measure app performance and speed\n\n - Comfortable working with a small, fast-moving team, and must be willing to dive in and take ownership\n\n - A passion for iOS development, and enjoys experimenting with what's new with each iteration of iOS and iPadOS\n\nNice to have\n\n - Experience with related platforms like macOS and tools like Mac Catalyst\n\n - Experience with WebSockets, HTTP\n\n - Experience with concurrency and multithreading (GCD, critical sections, race conditions)\n\nAI is at the heart of what we build, and using it effectively is an expectation for every role here. During interviews, we want to see how you think and make decisions—qualities that will directly influence our AI development. With that in mind, please avoid using AI tools throughout the process unless we indicate otherwise."},{"id":"8a976851-9bef-4b07-8d36-567fa9540aef","title":"Member of Technical Staff (AI Inference Engineer)","department":"AI","team":"AI","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Palo Alto","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Palo Alto"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-04-13T19:39:49.104+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/8a976851-9bef-4b07-8d36-567fa9540aef","applyUrl":"https://jobs.ashbyhq.com/perplexity/8a976851-9bef-4b07-8d36-567fa9540aef/application","descriptionHtml":"We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us.
Examples of real work the team does:
New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving.
Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
You understand modern LLM architectures and are able to bring them up reliably in a production environment.
You've built and operated production distributed systems under real load - ideally performance-critical ones.
Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Perplexity is seeking a highly experienced and hands-on Cloud Security Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. In this role, you’ll lead efforts to build and maintain secure, scalable infrastructure that empowers engineers to innovate quickly and safely.
Partner with infrastructure and engineering teams to embed security into development workflows and promote secure-by-default patterns
Build Terraform modules with built-in security guardrails, such as logging, encryption, and automated threat detection enablement
Deploy cloud-native detection capabilities using AWS GuardDuty, Security Hub, and custom detection rules to identify credential compromise, crypto-mining, and lateral movement
Maintain SOC 2 Type II and ISO 27001 compliance through automated collection of cloud control evidence
Conduct security audits of cloud resource configurations using tools like AWS Config and Open Policy Agent, and remediate deviations from CIS Benchmarks and our internal security policies
Secure CI/CD and supply chain pipelines by implementing controls such as artifact signing, secret scanning, and dependency monitoring
Apply zero trust principles through strict network segmentation, authentication, and authorization across our cloud environments
Participate in the security on-call rotation and respond to security alerts and incidents to ensure rapid mitigation and root cause analysis
8+ years of experience in Cloud Infrastructure, Platform Engineering, or similar roles
Proven track record of building and scaling infrastructure at high-growth technology companies
Deep understanding of cloud-native architectures, microservices, and distributed systems
Experience securing CI/CD pipelines, deployment automation, and internal tooling
Strong programming skills in Python, Go, or similar languages
Bonus: Experience with AI/ML infrastructure and multi-cloud environments
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters
Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
Manage and optimize Slurm-based HPC environments for distributed training of large language models
Develop robust APIs and orchestration systems for both training pipelines and inference services
Implement resource scheduling and job management systems across heterogeneous compute environments
Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
Experience with deploying and managing distributed training systems at scale
Deep understanding of container orchestration and distributed systems architecture
High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
Experience managing GPU clusters and optimizing compute resource utilization
Expert-level Kubernetes administration and YAML configuration management
Proficiency with Slurm job scheduling, resource management, and cluster configuration
Python and C++ programming with focus on systems and infrastructure automation
Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
Strong understanding of networking, storage, and compute resource management for ML workloads
Experience developing APIs and managing distributed systems for both batch and real-time workloads
Solid debugging and monitoring skills with expertise in observability tools for containerized environments
Experience with Kubernetes operators and custom controllers for ML workloads
Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
Familiarity with GPU cluster management and CUDA optimization
Experience with other ML frameworks like TensorFlow or distributed training libraries
Background in HPC environments, parallel computing, and high-performance networking
Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
Experience with container registries, image optimization, and multi-stage builds for ML workloads
Demonstrated experience managing large-scale Kubernetes deployments in production environments
Proven track record with Slurm cluster administration and HPC workload management
Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
Experience supporting both long-running training jobs and high-availability inference services
Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Perplexity is building AI systems that integrate directly into how enterprises operate. Our API Platform powers search, retrieval, and automation across structured and unstructured data, while Perplexity Computer extends this into the execution of an AI system that navigates tools, interacts with applications, and completes multi-step workflows. Together, these platforms form a new integration layer, connecting models, data, and enterprise systems into end-to-end workflows.
We’re looking for Forward Deployed Engineers to work directly with customers to design and deploy these integrations in production. You’ll embed with teams, connect Perplexity into their existing stack, and build systems that automate real work.
This role spans two closely connected areas:
API Platform: integrating search, retrieval, and AI capabilities into enterprise systems
Perplexity Computer: deploying agentic workflows that operate across tools, applications, and data
Perplexity’s platforms are redefining how AI is integrated into enterprise operations. You’ll work on cutting-edge AI systems, building end-to-end workflows and integrations that solve real business problems at scale.
This is a unique opportunity to influence both product and adoption, embed AI deeply in enterprise workflows, and shape the future of how organizations operationalize AI.
Design, build, and deploy end-to-end integrations between Perplexity and enterprise systems (data platforms, internal tools, SaaS applications), translating business workflows into production-grade AI systems
Work directly with customer teams to embed AI into existing processes, owning deployments from initial architecture through production rollout and ongoing optimization
Develop and operationalize integrations using APIs, event-driven architectures, and workflow orchestration, including deploying Perplexity Computer for multi-step, agent-driven workflows across tools and environments
Design and build production systems that combine retrieval, reasoning, and execution across enterprise environments, applying deep expertise in LLM capabilities, implementation patterns, and the AI stack to drive performance, security, and customer impact
Debug and resolve issues across APIs, infrastructure, and external dependencies, ensuring reliability, performance, and scalability in production
Prototype new integration patterns and build reusable architectures that accelerate adoption across customers
Partner with Sales and Product to unlock new use cases, drive expansion, and translate deployment learnings into product and platform improvements
5+ years of experience in software engineering, forward deployed engineering, solutions engineering, or similar roles, with a track record of building and shipping production systems in customer-facing environments
Strong programming ability in Python (plus one of JavaScript/TypeScript, Java, etc.) with experience developing integrations, prototypes, and scalable applications
Deep experience with APIs and distributed systems, including authentication, latency optimization, and debugging across complex, multi-system environments
Production experience building LLM-powered systems, including prompt engineering, agent workflows, evaluation, and deploying AI systems at scale
Proven ability to design and implement automated, end-to-end workflows that integrate across enterprise systems and replace manual processes
High ownership and ability to operate in ambiguous environments, with strong system design, rapid prototyping skills, and end-to-end execution
Excellent communication and collaboration skills, with experience working cross-functionally and engaging both technical teams and executive stakeholders
Experience with search systems, retrieval-augmented generation (RAG), or AI/ML APIs
Background in developer tools, platform engineering, or high-scale/low-latency system design
History of working at startups or small teams, owning customer projects end-to-end
Experience with enterprise IT systems or AI deployment patterns in regulated industries (finance, healthcare, life sciences)
About the Team
The APAC User Operations team serves as the frontline for delivering Perplexity AI's industry-leading search capabilities to enterprise clients and individual users across Asia-Pacific markets. This team collaborates with Product, Engineering, Localization, and Technical Success departments to resolve complex technical issues while adapting support frameworks to regional service expectations.
Operational Scaling
Architect Tokyo-based support operations covering JST time zone (9 AM - 6 PM) with 8-hour shift rotations
Implement comprehensive QA protocols and performance metrics that align with both global standards and regional expectations
Operational performance of services and support, meeting experience, revenue, budget and performance targets
Technical Support Execution
Localize 15+ knowledge base articles, maintaining terminology consistency with product UI localization efforts
Drive innovation through experimentation with a design thinking approach to improve support efficiency and effectiveness
Anticipate customer issues, orchestrate timely resolutions, and act as an escalation point for complex problems
Customer Success & Growth
Define and drive a targeted, goal-based engagement plan that aligns with customers' objectives
Collaborate with sales teams to ensure customer insights are translated into actionable growth strategies
Understand and optimize for the unique customer service expectations across different APAC markets
Generate customer insights by understanding both competitive landscape and end-to-end customer journey, including goals, behaviors, and pain points
Cross-Functional Collaboration
Engage cross-functionally with key stakeholders to drive projects and influence decisions that enable delivery of your customer strategy1
Provide structure and thought leadership by developing priorities and managing operating mechanisms that drive organizational effectiveness1
Collaborate with product teams to provide important customer feedback and process improvement suggestions
Partner with marketing to leverage customer success stories and drive market growth
Qualifications
Fluency in English and Japanese is a must
Technical writing proficiency in Japanese
Proficiency in Python/NodeJS and SQL
Experience working with DB Warehouses (e.g. Snowflake), Logging and monitoring platforms (e.g. Datadog) and BI tools (e.g. Omni)
3+ years of experience in customer-support, ideally for a SaaS product, providing timely and accurate support to the end users
3+ years of experience in customer-facing roles with proven ability to engage with customers at both project and senior management levels
Strong customer orientation with focus on quality and ability to interact with Software Engineers and business decision-makers
Proven record of successful account management with creative problem-solving skills in a fast-paced environment
Nice to have:
Business or Fluent level Korean or Mandarin Chinese
Experience of using AI tools (e.g. Claude Code, Cursor etc.) to write or interpret code
Experience of using Consumer SaaS services and understanding of REST API
Experience with both enterprise and consumer support operations
Track record in transforming support from a cost center to a value driver
Experience working with international teams and environments
Perplexity is seeking a highly skilled, experienced, and hands-on AI Security Engineer to join our security team, driving the protection of next-generation AI systems against adversarial threats. In this role, you’ll design and implement robust mechanisms to secure self-hosted models, LLM APIs, agents, MCPs, and the core AI stack. You'll empower developers with tools and guidance, as well as technical contributions, enabling innovation while ensuring AI security is strong by default.
Our tech stack includes Python, NextJS, TypeScript, Docker, AWS, Kubernetes, and PostgreSQL.
Define, build, and refine mechanisms to secure AI systems (including self-hosted models, LLM APIs, agents, MCPs, and other core components of the AI stack) against adversarial behavior of all kinds
Understand technically complex AI systems, identify potential weaknesses in their architecture, and implement improvements
At least 50% of time performing hands-on remediation. Also working closely with peer engineers to drive remediations
Plan and carry out threat modeling activities and realistic threat simulations across our offerings
Conduct cybersecurity evaluations and lead AI security assessments in a cross-functional environment
Develop initiatives that improve our capabilities to effectively evaluate AI systems and enhance the organization's prevention, detection, response, and threat hunting capabilities
Provide guidance and education to developers to help deter and prevent threats
Hands-on coding and prompting experience.
Bachelor of Science or Master of Science in Computer Science or a related field, or equivalent experience
Be a technical and process subject matter expert regarding AI security services and attacker tactics, techniques, and procedures
Good understanding of LLMs, AI architecture patterns, machine learning models, and related technologies such as MCP
Understanding of application security principles and secure coding practices
Experience developing and implementing security procedures and policies
Strong problem-solving, project management, leadership, and communication skills
Self-motivated with a willingness to take ownership of tasks
4+ years of industry experience
Perplexity is looking for an Infrastructure Engineer to join our small team revolutionizing the way people search and interact with the internet. Your passion and diligence will be critical to ensure a high quality product. This role blends infrastructure expertise with software engineering -- you'll own core systems that power our products and development workflows.
Responsibilities
Build and maintain robust, scalable infrastructure to support high-performance search systems
Develop internal tools and automation to streamline developer workflows and operational efficiency
Design, deploy, and operate cloud-native systems, primarily on AWS
Improve and support CI/CD pipelines, testing infrastructure, and release processes
Debug and optimize Linux systems, containers, and backend services
Contribute directly to product codebases, working across Python, Go, and other systems languages
Requirements
Strong background in cloud infrastructure (AWS preferred), systems design, and automation
Deep understanding of Linux internals, performance tuning, and debugging
Experience building or maintaining CI/CD systems and tooling
Strong Python skills and fluency in at least one systems language (Go, Rust, C/C++, or Java)
Comfort working across both infrastructure and application-level code
A proactive learner who thrives in a fast-paced, innovative environment
Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
Responsibilities
Relentlessly push search quality forward—through models, data, tools, or any other leverage available
Architect and build core components of our search platform and model stack
Train and evaluate retrieval, ranking and classification models, including LLMs
Deploy models - from boosting to LLMs - in a scalable and performant way
Build and optimize RAG pipelines for grounding and answer generation
Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery
Qualifications
Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
Proven track record with large-scale search or recommender systems
Self-driven, with a strong sense of ownership and execution
Minimum of 5 years of working on search or recsys-related projects
Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack.
Responsibilities
Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages
Develop streaming and batch data processing systems for search index construction in a high-load environment
Push the limits of hardware performance through low-level optimizations and systems-level tuning
Tackle challenges in multithreading, concurrency, and system-level optimization
Qualifications
3+ years of hands-on experience in systems programming (Rust, C++, C, or similar)
Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production
Knowledge of Python or other scripting languages
Passion for writing clean, efficient, and scalable systems-level code
Strong knowledge of algorithms and data structures, and the ability to apply them effectively
Deep understanding of multithreading, including various approaches, challenges, and trade-offs
Experience building high-load, distributed, and hardware-adjacent services
Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning)
Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling)
Preferred Qualifications
Experience developing core components of search engines, databases, or information retrieval systems
Understanding of search fundamentals: indexing, query parsing, ranking, and relevance
Experience with trading systems or other latency-sensitive real-time systems
Familiarity with cloud services, Kubernetes, and AWS infrastructure
Perplexity is seeking a highly skilled, experienced and hands-on Application Security Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. You’ll build the systems, tools, and processes that make security seamless for developers and strong by default, enabling rapid innovation while protecting our users at scale.
Design and implement scalable, developer-friendly security solutions that integrate directly into engineering workflows
Lead threat modeling, design reviews, and code reviews for new features and major product launches
Build and evolve secure-by-default frameworks for authentication, authorization, input validation, and secrets management
Develop and integrate automated security tooling into CI/CD pipelines (e.g., linters, dependency scanners, policy enforcement)
Collaborate with product and engineering teams to remediate vulnerabilities, and contribute to incident response and postmortems
Own, manage, and improve our third-party penetration testing engagements and bug bounty program, working closely with external security researchers to identify and resolve vulnerabilities
Stay current on emerging threats and attack techniques, and drive ongoing maturity of our application security posture
8+ years of experience in Application Security, Product Security, or similar roles
Deep understanding of secure software development practices, threat modeling, and common vulnerabilities (e.g., OWASP Top 10)
Familiarity with modern authentication and authorization patterns (OAuth, OIDC, SSO, Zero Trust)
Proven track record of building secure infrastructure, reusable libraries, or developer tooling
Proficiency with at least one major programming language (e.g., Python, Go, JavaScript, Java)
Bonus: Experience with securing cloud infrastructure or AI/ML systems
Perplexity is looking for an experienced Backend Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading design, implementation, and scaling of backend systems that power web, mobile, and browser products.
Tech Stack: Python | PostgreSQL | DynamoDB | Redis | FastAPI
Responsibilities
Build scalable systems that ingest and process data from the web, files, and other sources.
Optimize interfaces that interact with databases and caching systems.
Collaborate with PMs, frontend engineers, and other stakeholders to understand product requirements.
Work closely with AI, Search, and Data Science teams to iterate on non-deterministic systems.
Manage a complex orchestration system with many moving parts and interfaces.
Scale, optimize, and load balance multiple services with rapidly changing needs.
Qualifications
Strong experience with Python
Strong experience with databases and caching
Experience with AWS cloud infrastructure at scale
Experience working with high-scale data and non-deterministic systems like LLMs
4+ years of engineering experience
AI is at the heart of what we build, and using it effectively is an expectation for every role here. During interviews, we want to see how you think and make decisions—qualities that will directly influence our AI development. With that in mind, please avoid using AI tools throughout the process unless we indicate otherwise.
The Perplexity Research Residency is our flagship program for enabling the best research talent across all disciplines to shape the future of AI. Our program creates pathways for exceptional researchers, engineers, analysts from fields beyond traditional AI research to contribute meaningfully to the future of AI research and its impact on users. Whether you're a theoretical physicist, a cognitive scientist, a biochemist, a quant, a mathematician, a philosopher, or an exceptional researcher in any other discipline, we’d like to encourage you to apply.
Please refer to the program homepage for full details on the Perplexity Research Residency and application process. In particular, refer to the “What We’re Looking For” section for the program criteria that will be used to select candidates.
The cash compensation for this role is $220,000 per year, prorated to a three-month term.
","descriptionPlain":"The Perplexity Research Residency is our flagship program for enabling the best research talent across all disciplines to shape the future of AI. Our program creates pathways for exceptional researchers, engineers, analysts from fields beyond traditional AI research to contribute meaningfully to the future of AI research and its impact on users. Whether you're a theoretical physicist, a cognitive scientist, a biochemist, a quant, a mathematician, a philosopher, or an exceptional researcher in any other discipline, we’d like to encourage you to apply.\n\nPlease refer to the program homepage https://www.perplexity.ai/hub/ai-research-residency for full details on the Perplexity Research Residency and application process. In particular, refer to the “What We’re Looking For” section for the program criteria that will be used to select candidates.\n\nThe cash compensation for this role is $220,000 per year, prorated to a three-month term."},{"id":"16bc54a6-83ab-4802-8a65-d88fbb7ebe03","title":"Member of Technical Staff (AI Research Lead)","department":"AI","team":"AI","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-04-13T19:35:13.373+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/16bc54a6-83ab-4802-8a65-d88fbb7ebe03","applyUrl":"https://jobs.ashbyhq.com/perplexity/16bc54a6-83ab-4802-8a65-d88fbb7ebe03/application","descriptionHtml":"Perplexity is seeking an exceptional AI Research Tech Lead to drive our research strategy and lead the development of our in-house Online LLMs, the Sonar models. In this leadership role, you will set the macro research direction across different modalities, mentor a team of researchers, and take advantage of our rich query/answer dataset to continue scaling our Sonar model performance and deliver the SOTA Online LLM experience to our users.
Define and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiatives
Lead strategic research planning and roadmap development to advance Sonar model capabilities
Drive innovation in supervised and reinforcement learning techniques for query answering
Collaborate with leadership to align research priorities with product and business objectives
Coach and mentor a team of AI research scientists and engineers, fostering their technical and professional growth
Establish the long-term macro research direction across the team, including our direction across different modalities
Lead hiring and onboarding of new research talent
Create a collaborative environment that encourages knowledge sharing and innovation
Post-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniques
Own and optimize the full stack data, training, and evaluation pipelines required for LLM post-training
Deliver Sonar models that provide SOTA query answering performance
Drive research into agent trajectories and multi-modal capabilities
Lead the technical roadmap for eventual mid-training investments
Work closely with engineering teams to integrate Sonar models into our product
Partner with product teams to understand user needs and translate them into research priorities
Collaborate with data teams to leverage our unique query/answer dataset effectively
Communicate research progress and findings to stakeholders across the organization
Minimum of 5 years of experience working on relevant AI/ML projects with 3**+ years in a technical leadership role**
Proven track record of leading and mentoring technical and research teams
A Computer Science graduate degree at a premier academic intitution
Deep expertise with large-scale LLMs and Deep Learning systems
Strong programming skills with versatility across multiple languages and frameworks
Demonstrated ability to set technical vision and drive execution
Experience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO)
Self-starter with exceptional ownership mentality and ability to work in ambiguous environments
Passion for solving challenging problems and pushing the boundaries of AI research
PhD in Machine Learning, Computer Science, or related areas
Experience with agent-based AI systems and multi-modal model development
Background in mid-training or pre-training of large language models
Publications in top-tier AI/ML conferences
Experience in fast-paced startup environments
Track record of translating research into production systems
We are seeking an experienced Backend Software Engineer to join our Crawler team. In this role, you will design, develop, and operate systems that ingest, process, and manage web-scale data in support of our next generation of advanced search technologies. This is a critical, high-impact engineering position, requiring expertise across both backend and frontend components of our data acquisition stack.
Responsibilities
Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems.
Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management.
Collaborate closely with Search and Infrastructure teams to ensure the reliable, high-quality ingestion and processing of billions of web pages.
Architect and implement fullstack features and scalable distributed systems that handle high-load and real-time data operations.
Rapidly iterate, experiment with novel approaches, and continuously enhance system performance, usability, and reliability.
Qualifications
Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go.
Experience with large-scale web crawlers is highly desirable.
Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services.
Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS.
Demonstrated passion for writing clean, efficient, and scalable systems.
Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly.
Team Structure
Depending on your interests and expertise, you'll work on one of three specialized teams:
1. Core Research Team (Horizontal)
Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization.
2. Agent Products Team (Vertical)
Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences.
3. Comet Agent Team (Vertical)
Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases.
Responsibilities
Research & Development
Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO)
Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products
Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques
Implement preference optimization and personalization capabilities to enhance user experience
Invent in-house improvements and optimizations to enhance SOTA models
Turn research ideas into algorithms and run experiments to launch new models
Infrastructure & Implementation
Own full-stack data, training, and evaluation pipelines required for model development
Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs
Implement necessary infrastructure and components to support cutting-edge model training at scale
Integrate models seamlessly into our product ecosystem
Collaboration
Work closely with engineering teams to integrate models into Perplexity's product suite
Collaborate across teams to ensure cohesive AI experiences throughout our platform
Partner with product teams to understand user needs and translate them into model improvements
Qualifications
Required
Proven experience with large-scale LLMs and Deep Learning systems
Strong programming skills in Python/PyTorch; versatility is a plus
Experience with post-training techniques and reinforcement learning
Self-starter with a willingness to take ownership of tasks
Passion for tackling challenging problems
Minimum 2-6 years of experience on relevant projects (depending on seniority level)
Nice-to-have
PhD in Machine Learning, AI, Systems, or related areas
Experience in post-training LLMs with SFT/DPO/GRPO
C++/CUDA programming skills
Experience building LLM training frameworks
Academic publications and research impact
Experience with agent systems and multi-step reasoning
Background in personalization and preference learning
Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe.
Key Responsibilities
Apply state-of-the-art ML and LLM techniques to solve problems spanning:
Personalization (LLM memory, context summarization, retrieval and ranking);
Query Understanding (intent modeling, rewriting, agentic decomposition);
Content Discovery (feed ranking and surfacing)
Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.
Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement.
Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.
Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.
Preferred Qualifications
5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products.
Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking.
Strong software engineering skills (Python, production-quality codebases, collaborative development).
In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement.
Proven collaborator and communicator; excels in high-velocity, cross-functional teams.
Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.
BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).
Bonus Points For
Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems.
Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).
Open-source or published contributions in ML, NLP, IR, or relevant research fields.
","descriptionPlain":"Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe.\n\nKey Responsibilities\n\n - Apply state-of-the-art ML and LLM techniques to solve problems spanning:\n \n - Personalization (LLM memory, context summarization, retrieval and ranking);\n \n - Query Understanding (intent modeling, rewriting, agentic decomposition);\n \n - Content Discovery (feed ranking and surfacing)\n\n - Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.\n\n - Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement.\n\n - Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.\n\n - Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.\n\nPreferred Qualifications\n\n - 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products.\n\n - Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking.\n\n - Strong software engineering skills (Python, production-quality codebases, collaborative development).\n\n - In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement.\n\n - Proven collaborator and communicator; excels in high-velocity, cross-functional teams.\n\n - Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.\n\n - BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).\n\nBonus Points For\n\n - Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems.\n\n - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).\n\n - Open-source or published contributions in ML, NLP, IR, or relevant research fields.\n\n "},{"id":"8673866c-f624-4b58-b171-752cf003630e","title":"Member of Technical Staff (Software Engineer, AI Platform)","department":"AI","team":"AI","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Palo Alto","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Palo Alto"}}}],"publishedAt":"2026-04-13T19:37:34.319+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/8673866c-f624-4b58-b171-752cf003630e","applyUrl":"https://jobs.ashbyhq.com/perplexity/8673866c-f624-4b58-b171-752cf003630e/application","descriptionHtml":"
Perplexity is seeking an experienced Software Engineer focusing on building the next-gen AI Foundation & Platform to help revolutionize the way people search and interact online. In this role, you'll help build Perplexity’s end-to-end AI data, evaluation and personalization infrastructure and flywheel which powers almost all agent products.
Tech Stack: Spark | AWS Data Stack (S3, RDS, DynamoDB, Docker, EKS, Kinesis) | Pytorch | DynamoDB | Databricks | Snowflake | LLM APIs
Perplexity is rapidly scaling both in number of use cases and number of users. Perplexity’s data stack powers scalable, personalized and fast answers for millions of people worldwide.
Collaborate closely with AI Product, Applied ML, Post-Training, and Data Science teams to design, build, and maintain scalable data pipelines and data lakes
Develop high-performance infrastructure that powers personalization features including memory, discover, and agentic products
Create a scalable, multi-modal evaluation platform for all Perplexity AI products, including personalization, pro search, labs, deep research, and Comet
Design tools and abstractions on foundational infrastructure to enhance personalization, analytics, recommendations, AI products, and post-training capabilities
Holistically improve engineering foundation to support rapid growth of Perplexity products and international user base.
Strong programming and data engineering skills, with proficiency in open source & distributed framework(AWS, Spark, Flink, Iceberg, DynamoDB)
Familiarity with cloud-based data services (e.g., AWS, RDS, DynamoDB), containerized infrastructure (e.g., EKS, Docker), and data streaming (Flink, Spark streaming, CDC)
Strong quantitative and engineering skills with experience in estimating performance at high scale
Experience supporting various ML/AI engineering teams to build scalable frameworks to accelerate R&D for frontier models and AI products
Experience iterating on improving LLM responses and set up proper evaluation framework or Judges to analysis performance holistically.
Self-motivated with a strong sense of ownership of systems and designs
5+ years of industry experience in distributed systems or AI infrastructure
","descriptionPlain":"Perplexity is seeking an experienced Software Engineer focusing on building the next-gen AI Foundation & Platform to help revolutionize the way people search and interact online. In this role, you'll help build Perplexity’s end-to-end AI data, evaluation and personalization infrastructure and flywheel which powers almost all agent products.\n\nTech Stack: Spark | AWS Data Stack (S3, RDS, DynamoDB, Docker, EKS, Kinesis) | Pytorch | DynamoDB | Databricks | Snowflake | LLM APIs\n\nPerplexity is rapidly scaling both in number of use cases and number of users. Perplexity’s data stack powers scalable, personalized and fast answers for millions of people worldwide.\n\n\nRESPONSIBILITIES\n\n - Collaborate closely with AI Product, Applied ML, Post-Training, and Data Science teams to design, build, and maintain scalable data pipelines and data lakes\n\n - Develop high-performance infrastructure that powers personalization features including memory, discover, and agentic products\n\n - Create a scalable, multi-modal evaluation platform for all Perplexity AI products, including personalization, pro search, labs, deep research, and Comet\n\n - Design tools and abstractions on foundational infrastructure to enhance personalization, analytics, recommendations, AI products, and post-training capabilities\n\n - Holistically improve engineering foundation to support rapid growth of Perplexity products and international user base.\n\n\nQUALIFICATIONS\n\n - Strong programming and data engineering skills, with proficiency in open source & distributed framework(AWS, Spark, Flink, Iceberg, DynamoDB)\n\n - Familiarity with cloud-based data services (e.g., AWS, RDS, DynamoDB), containerized infrastructure (e.g., EKS, Docker), and data streaming (Flink, Spark streaming, CDC)\n\n - Strong quantitative and engineering skills with experience in estimating performance at high scale\n\n - Experience supporting various ML/AI engineering teams to build scalable frameworks to accelerate R&D for frontier models and AI products\n\n - Experience iterating on improving LLM responses and set up proper evaluation framework or Judges to analysis performance holistically.\n\n - Self-motivated with a strong sense of ownership of systems and designs\n\n - 5+ years of industry experience in distributed systems or AI infrastructure\n\n "},{"id":"40fbae50-e61c-4d28-8122-8800988b8595","title":"Director, Commercial Legal (Enterprise)","department":"Legal","team":"Legal","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-03-23T16:47:29.844+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/40fbae50-e61c-4d28-8122-8800988b8595","applyUrl":"https://jobs.ashbyhq.com/perplexity/40fbae50-e61c-4d28-8122-8800988b8595/application","descriptionHtml":"
Perplexity AI is looking for a Director, Commercial Legal (Enterprise) to be a key legal partner to our growing enterprise business. In this role, you'll own the full commercial legal lifecycle for Perplexity Enterprise Pro and API customers from negotiating and closing complex enterprise agreements to building the scalable legal infrastructure that enables us to move fast without unnecessary risk.
You'll work closely with our enterprise sales, GTM, security, and product teams to close deals, strengthen our data security and compliance contracting posture, and serve as a trusted advisor on the AI-specific legal questions that come with operating at the frontier of this technology. The ideal candidate brings deep experience negotiating enterprise SaaS and API agreements, a strong command of data privacy and security frameworks, and the practical judgment to make principled risk calls independently.
This is a high-impact, hands-on role for a commercially minded attorney who thrives in fast-paced environments, knows how to be a true partner to sales without being a bottleneck, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world.
Lead end-to-end drafting, review, and negotiation of commercial agreements for Perplexity Enterprise Pro and API customers, including MSAs, Order Forms, SaaS subscription agreements, API terms, DPAs, BAAs, and NDAs with the experience to own deals from initial redline to signature.
Serve as the primary legal partner to enterprise sales and GTM teams, providing fast, practical, and business-aligned counsel that accelerates deal velocity without compromising on risk management.
Advance Perplexity's compliance and data security contracting posture including negotiating data processing agreements, security addenda, and responding to customer security and compliance questionnaires in close partnership with the Security and Privacy teams.
Advise on AI-specific legal considerations embedded in enterprise and API agreements, including acceptable use, data retention and training restrictions, output liability, and evolving regulatory requirements (e.g., EU AI Act, CCPA/CPRA, GDPR).
Build and maintain scalable legal infrastructure including contract templates, negotiation playbooks, and fallback positions to support high-volume enterprise deal flow and reduce friction in the sales cycle.
Implement and continuously improve legal processes and tools (e.g., CLM, self-serve workflows) to enable the business to move quickly while maintaining visibility and control over contractual commitments.
Partner cross-functionally with Product, Engineering, Security, Finance, and Compliance teams to surface and address legal risk early, particularly on matters related to data use, enterprise integrations, and customer-specific compliance requirements.
Monitor the evolving regulatory landscape for enterprise AI and SaaS products, and translate emerging requirements into practical contractual and policy guidance for internal stakeholders.
JD and in good standing with an active US state bar membership
At least 10+ years of law firm and/or in-house experience
Track record of drafting and negotiating enterprise sales and SaaS agreements
Strong business acumen and ability to partner with business and technical teams
An ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers
Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization
Positive collaborative attitude, comfort with change and a fast pace, high level of integrity, and intellectual curiosity
Comfortable working in a fast-paced, dynamic environment
Perplexity is looking for a commercially minded attorney to join our Legal team. In this role, you’ll own the full commercial legal lifecycle. You will draft, negotiate, and close a wide range of agreements across partnerships, procurement, infrastructure, and licensing. You will build scalable legal infrastructure, and enable the business to move quickly without unacceptable risk. You’ll work closely with teams across the business, including product, engineering, security, finance, and sales to close deals, strengthen our data security and compliance posture, and serve as a trusted advisor on the AI-specific legal questions that come with operating at the frontier of this technology. The ideal candidate brings deep experience negotiating a wide range of commercial technology agreements, a strong command of data privacy and security frameworks, and the practical judgment to make principled risk calls independently. This is a high-impact, hands-on role for someone who thrives in fast-paced environments, knows how to be a true partner to the business without being a bottleneck, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world.
Lead end-to-end drafting, review, and negotiation of commercial agreements, including MSAs, SaaS and API agreements, DPAs, partnership and reseller agreements, strategic collaboration and co-marketing agreements, procurement and vendor contracts, technology and infrastructure agreements, and IP licensing arrangements.
Serve as a primary legal partner across the business, providing fast, practical, and business-aligned counsel that accelerates deal velocity without compromising on risk management.
Provide strategic counsel on legal risks across AI infrastructure, compute, partnerships, and enterprise deployments as the company scales.
Advise on AI-specific legal considerations in commercial agreements, including acceptable use, data retention and training restrictions, output liability, and evolving regulatory requirements (e.g., EU AI Act, CCPA/CPRA, GDPR).
Build and maintain scalable legal infrastructure—contract templates, negotiation playbooks, fallback positions, and tools (e.g., CLM, self-serve workflows)—to support high-volume deal flow and reduce friction in the contracting cycle.
Partner cross-functionally with Product, Engineering, Security, Finance, and Compliance teams to surface and address legal risk early, particularly on data use, enterprise integrations, and customer-specific compliance requirements.
Monitor the evolving regulatory landscape for enterprise AI and SaaS products and translate emerging requirements into practical contractual and policy guidance for internal stakeholders.
JD and in good standing with an active U.S. state bar membership.
At least 5+ years of law firm and/or in-house experience, with a track record of drafting and negotiating complex commercial technology agreements.
Strong business acumen and ability to partner effectively with sales, product, engineering, and executive teams.
Deep familiarity with data privacy and security frameworks (GDPR, CCPA/CPRA, SOC 2, HIPAA) and experience negotiating DPAs and related compliance agreements.
Ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers.
Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization.
Positive collaborative attitude, comfort with ambiguity and a fast pace, high level of integrity, and intellectual curiosity about AI technology and how these products work.
Comfortable working in a fast-paced, dynamic environment.
We are looking for an experienced Enterprise Customer Success Manager to join our Enterprise team. In this crucial role, you’ll be responsible for executing onboarding and adoption strategies through key client ownership across our Enterprise clientele. The ideal candidate will have a proven track record in tech of driving enterprise-level engagement, retention, and growth.
You will work closely with other members of the Enterprise team, making strong communication and collaboration skills vital. A core sense of conviction and a “can-do” attitude are prerequisites. Your success will play a crucial part in expanding Perplexity's market presence and contributing to the company's overall success.
Execute the Enterprise customer success strategy developed by leadership
Serve as a primary point of contact for key enterprise clients
Drive initial enablement through high quality onboarding and training
Identify and support opportunities for growth and client expansion
Manage retention, working with clients to quantify value delivered
Advocate for client needs, and collaborate with cross-functional teams to drive product development
Monitor and report on established key performance indicators, analyze data to identify trends
5+ years experience in Customer Success or Account Management roles at scaling tech companies, specifically working with enterprise clients
Proven track record of driving enterprise-level satisfaction, growth, and retention
Excellent communication and presentation skills, with the ability to engage C-level executives
A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives.
Ability to work under pressure, thriving in demanding environments
Ability to work independently and as part of a collaborative team
Proficiency in CRM systems and customer success tool
Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support
Velocity & Ownership – Excel in a culture that values curiosity, speed, and quality
Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.
Perplexity AI is seeking a talented Search Rust Engineer to join our rapidly growing team, driving innovation in AI-powered search experiences. As a Search Rust Engineer, your main mission will be to relentlessly optimize performance - squeezing every millisecond of latency from our search stack, while implementing robust, scalable, and reliable systems.
Responsibilities:
Architect, build, and optimize ultra-low-latency search infrastructure using Rust
Profile and instrument services, continuously driving down response times at scale
Develop and maintain distributed backend components powering real-time search and retrieval
Collaborate closely with product and infrastructure teams to design systems that deliver best-in-class query performance
Apply advanced concurrency, memory management, and network programming patterns for maximum throughput
Monitor, debug, and tune production workloads to ensure reliability under demanding traffic
Contribute to code reviews and mentor peers in high-efficiency Rust development
Requirements:
Deep expertise in Rust programming, especially for backend/search systems
Experience profiling and tuning high-load, low-latency distributed services
Strong understanding of systems design, Linux internals, and performance debugging
Background in cloud infrastructure - preferably AWS - and container orchestration
Track record of driving efficiency for search or data-intensive products
Ability to thrive in fast-paced environments and own critical product code
Passion for benchmarking, instrumentation, and continuous performance improvement
Join Perplexity AI as a Search Golang Engineer and help architect the next generation of massively scalable, AI-powered search infrastructure. In this role, you’ll leverage Golang to design, implement, and operate backend systems that handle millions of queries with uncompromising reliability and efficiency.
Responsibilities:
Build highly scalable, distributed backend services using Golang
Design, develop, and maintain search infrastructure that supports exponential traffic growth
Engineer cloud-native solutions, optimizing for horizontal scale and rapid failover
Implement robust monitoring, autoscaling, and incident recovery strategies
Collaborate with product, infra, and devops teams to maximize throughput and resilience
Drive improvements in CI/CD, automation, and operational excellence for backend systems
Mentor peers and champion scalable design principles across the organization
Requirements
Significant experience developing scalable Golang services for production environments
Deep understanding of distributed systems, microservices, and cloud infrastructure (AWS preferred)
Proven track record implementing systems that scale to millions of users
Strong background in Linux performance tuning, monitoring, and debugging
Experience with CI/CD pipelines, containerization, and automation
Ability to proactively tackle scaling challenges—anticipating bottlenecks before they arise
Passion for building backend solutions that power real-time, reliable search
About the Team
The Support team at Perplexity AI is the frontline of our user experience, dedicated to ensuring that our AI-powered search and question-answering platform delivers exceptional value to our diverse user base. We work tirelessly to understand user needs, resolve issues, and gather insights that drive product improvements. Our team collaborates closely with Product, Technical staff, and other departments to continuously enhance the user experience and maintain the high standards of our innovative AI technology.
We are seeking a talented Customer Success Engineer to join our team and collaborate directly with our strategic enterprise accounts. In this role, you will be at the forefront of solving challenging technical problems faced by our customers. As a key member of our technical troubleshooting team, you will provide expert guidance to both our customers and internal teams on complex issues within our environment. Your contributions will be vital in building knowledge within the team and driving strategic initiatives for organizational and process improvements.
Become one of the foremost technical experts for our API and product offerings at Perplexity AI.
Serve as the dedicated technical resource and advocate for our most important API and product customers, providing in-depth troubleshooting assistance and educating them on optimal use of our platforms.
Partner with the Enterprise, Mobile, and API teams to resolve issues, engaging leaders internally or with customers and coordinating resources across multiple teams as needed.
Translate learnings from customer issues into scalable solutions, working with Engineering, Customer Experience and Go-To-Market teams to implement improvements and automations.
Build strong relationships with customer leaders and operators to ensure the success of their applications.
Essential Qualifications
Fluency in English and Japanese is a must
7+ years of experience in software engineering or similar roles, with a focus on application development, tooling and automation.
Excellent proficiency in Python/NodeJS and developing scalable applications.
Good knowledge of a Cloud Service Provider (e.g. AWS) platform.
Hands-on experience in using Agentic Coding (Claude Code, Codex etc.).
Bachelor’s degree in Computer Science or a related field.
Proven ability to identify technical pain points in both our solutions and our customers’ implementations.
Would be nice to have
Business level proficiency in Korean/Mandarin languages.
Strong track record of building relationships with customers and cross-functional teams to drive performance improvements.
Humble attitude, eagerness to help others, and willingness to acquire new knowledge to support team and customer success.
Ability to operate with high efficiency, adeptly switch between contexts, work on multiple projects simultaneously, and prioritize effectively.
Experience building prototypes or applications using AI-powered APIs, with a deep understanding of the AI and search technology landscape.
Preference for short, deep-dive projects that involve chasing down problems and understanding diverse use cases.
","descriptionPlain":"About the Team\n\nThe Support team at Perplexity AI is the frontline of our user experience, dedicated to ensuring that our AI-powered search and question-answering platform delivers exceptional value to our diverse user base. We work tirelessly to understand user needs, resolve issues, and gather insights that drive product improvements. Our team collaborates closely with Product, Technical staff, and other departments to continuously enhance the user experience and maintain the high standards of our innovative AI technology.\n\n\nABOUT THE ROLE\n\nWe are seeking a talented Customer Success Engineer to join our team and collaborate directly with our strategic enterprise accounts. In this role, you will be at the forefront of solving challenging technical problems faced by our customers. As a key member of our technical troubleshooting team, you will provide expert guidance to both our customers and internal teams on complex issues within our environment. Your contributions will be vital in building knowledge within the team and driving strategic initiatives for organizational and process improvements.\n\n\nKEY RESPONSIBILITIES\n\n - Become one of the foremost technical experts for our API and product offerings at Perplexity AI.\n\n - Serve as the dedicated technical resource and advocate for our most important API and product customers, providing in-depth troubleshooting assistance and educating them on optimal use of our platforms.\n\n - Partner with the Enterprise, Mobile, and API teams to resolve issues, engaging leaders internally or with customers and coordinating resources across multiple teams as needed.\n\n - Translate learnings from customer issues into scalable solutions, working with Engineering, Customer Experience and Go-To-Market teams to implement improvements and automations.\n\n - Build strong relationships with customer leaders and operators to ensure the success of their applications.\n\nEssential Qualifications\n\n - Fluency in English and Japanese is a must\n\n - 7+ years of experience in software engineering or similar roles, with a focus on application development, tooling and automation.\n\n - Excellent proficiency in Python/NodeJS and developing scalable applications.\n\n - Good knowledge of a Cloud Service Provider (e.g. AWS) platform.\n\n - Hands-on experience in using Agentic Coding (Claude Code, Codex etc.).\n\n - Bachelor’s degree in Computer Science or a related field.\n\n - Proven ability to identify technical pain points in both our solutions and our customers’ implementations.\n\nWould be nice to have\n\n - Business level proficiency in Korean/Mandarin languages.\n\n - Strong track record of building relationships with customers and cross-functional teams to drive performance improvements.\n\n - Humble attitude, eagerness to help others, and willingness to acquire new knowledge to support team and customer success.\n\n - Ability to operate with high efficiency, adeptly switch between contexts, work on multiple projects simultaneously, and prioritize effectively.\n\n - Experience building prototypes or applications using AI-powered APIs, with a deep understanding of the AI and search technology landscape.\n\n - Preference for short, deep-dive projects that involve chasing down problems and understanding diverse use cases.\n\n "},{"id":"2e1ee70c-b070-4ccc-a2bf-8b394161bbde","title":"Strategic Finance Lead - Core","department":"Finance","team":"Finance","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2025-11-07T17:23:04.843+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/2e1ee70c-b070-4ccc-a2bf-8b394161bbde","applyUrl":"https://jobs.ashbyhq.com/perplexity/2e1ee70c-b070-4ccc-a2bf-8b394161bbde/application","descriptionHtml":"
This role will have a variety of responsibilities but we’re seeking a sharp, creative individual to join our Strategic Finance team to own the core financial responsibilities. You’ll work closely with the business, finance, product, and engineering teams to help ensure our corporate financial models accurately reflect the state of the business and goals. The ideal candidate combines strong financial rigor with intellectual curiosity about AI technology, bias for action, and creativity in problem solving.
Develop and own core financial models used for strategic planning and decision-making, including aggregating projections and feedback across all major teams in the organization
Develop and maintain analysis and projections related to various aspects of the business, ranging from headcount planning, growth, infrastructure costs, and more
Lead various special projects required by C-suite and VPs related to corporate finance and accounting
Help develop and build scalable processes and well-defined metrics that are used by leadership and key teams to determine the state of the business
Independently identify areas within the organization that need analytical support and use analysis to drive clarity in critical decision-making
At least 4+ years of strategic finance / FP&A role at another growth-stage startup
At least 2 years of banking or financial planning experience at a top-tier firm
Experience in building financial analysis and planning and implementing various processes to improve visibility across spend, budgeting, and procurement
Strong financial acumen and ability to work cross-functionally across various engineering, product, growth, and operations teams
Ability to take ownership and execute on ambiguous tasks with first principles mindset
Comfortable working in a fast-paced, dynamic environment
Tech Stack: Tailwind | React | TypeScript | CSS
Work with the design systems team to build an excellent user interaction layer for all features. This includes both standard reusable components but also primitive pieces of generative UI.
Work with and improve the components that form the building blocks of Perplexity's frontend
Always be thinking about how to improve interaction quality, fit & finish, and team velocity
Experience building and maintaining user interface systems at a large scale
Strong coding fundamentals, and some experience working across the stack.
Ability to build foundations that others can build on top of.
Experience with highly interactive React applications using strongly typed code
Knowledgeable about design and UI patterns at scale
Passion for prototyping, experimentation, and creating accessible experiences
Extreme ownership mindset
Takes pride in getting the small details right
4+ years of industry experience
AI is at the heart of what we build, and using it effectively is an expectation for every role here. During interviews, we want to see how you think and make decisions—qualities that will directly influence our AI development. With that in mind, please avoid using AI tools throughout the process unless we indicate otherwise.
","descriptionPlain":"PERPLEXITY IS SEEKING AN EXPERIENCED FRONTEND-FOCUSED ENGINEER TO HELP REVOLUTIONIZE THE WAY PEOPLE SEARCH AND INTERACT ONLINE. IN THIS ROLE, YOU'LL BE DEVELOPING THE FUTURE OF AI PRODUCTS.\n\nTech Stack: Tailwind | React | TypeScript | CSS\n\n\nRESPONSIBILITIES\n\n - Work with the design systems team to build an excellent user interaction layer for all features. This includes both standard reusable components but also primitive pieces of generative UI.\n\n - Work with and improve the components that form the building blocks of Perplexity's frontend\n\n - Always be thinking about how to improve interaction quality, fit & finish, and team velocity\n\n\nKEY QUALIFICATIONS\n\n - Experience building and maintaining user interface systems at a large scale\n\n - Strong coding fundamentals, and some experience working across the stack.\n\n - Ability to build foundations that others can build on top of.\n\n - Experience with highly interactive React applications using strongly typed code\n\n - Knowledgeable about design and UI patterns at scale\n\n - Passion for prototyping, experimentation, and creating accessible experiences\n\n - Extreme ownership mindset\n\n - Takes pride in getting the small details right\n\n - 4+ years of industry experience\n\nAI is at the heart of what we build, and using it effectively is an expectation for every role here. During interviews, we want to see how you think and make decisions—qualities that will directly influence our AI development. With that in mind, please avoid using AI tools throughout the process unless we indicate otherwise."},{"id":"e4777627-ff8f-4257-8612-3a016bb58592","title":"Member of Technical Staff (AI Inference Engineer)","department":"AI","team":"AI","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-04-13T19:39:28.371+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"UK","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/e4777627-ff8f-4257-8612-3a016bb58592","applyUrl":"https://jobs.ashbyhq.com/perplexity/e4777627-ff8f-4257-8612-3a016bb58592/application","descriptionHtml":"We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.
New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.
Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
You understand modern LLM architectures and are able to bring them up reliably in a production environment.
You've built and operated production distributed systems under real load - ideally performance-critical ones.
Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Final offer amounts are determined by multiple factors including experience and expertise.
Equity: In addition to the base salary, equity may be part of the total compensation package.
","descriptionPlain":"We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.\n\n\n\n\n\nRESPONSIBILITIES:\n\n - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.\n\n - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.\n\n - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.\n\n - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.\n\n - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.\n\n\nWHO WE'RE LOOKING FOR:\n\n - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.\n\n - You understand modern LLM architectures and are able to bring them up reliably in a production environment.\n\n - You've built and operated production distributed systems under real load - ideally performance-critical ones.\n\n - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.\n\n - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.\n\n - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.\n\n\nNICE-TO-HAVE:\n\n - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.\n\n - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.\n\n - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.\n\n - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.\n\n - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.\n\n\nQUALIFICATIONS:\n\n - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.\n\n - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).\n\n - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).\n\n - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).\n\nFinal offer amounts are determined by multiple factors including experience and expertise.\n\nEquity: In addition to the base salary, equity may be part of the total compensation package."},{"id":"a805e14b-061d-469c-9136-b9e6a1855902","title":"Member of Technical Staff (Product Data Scientist, Search Quality)","department":"Search","team":"Search","employmentType":"FullTime","location":"Belgrade","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"UK","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"Berlin","address":{"postalAddress":{"addressCountry":"Germany","addressLocality":"Berlin"}}}],"publishedAt":"2026-04-18T21:25:13.429+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressCountry":"Serbia","addressLocality":"Belgrade"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/a805e14b-061d-469c-9136-b9e6a1855902","applyUrl":"https://jobs.ashbyhq.com/perplexity/a805e14b-061d-469c-9136-b9e6a1855902/application","descriptionHtml":"Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently.
Responsibilities
Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption
Formulate hypotheses and validate them by designing, running, and analyzing A/B tests
Determine appropriate metrics and visualizations for tracking, and implement them in dashboards
Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback
Qualifications
4+ years of experience working as a data analyst or in a related role
Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments
Strong Python skills (expected to write production-grade code)
Proficiency with SQL
Experience with Business Intelligence (BI) tools
Deep knowledge of statistics
Preferred Qualifications
Proficiency with Apache Spark
Experience with Databricks
Experience with development of LLM-as-a-judge systems
Perplexity is redefining how people search, reason, and interact with information. Our API team sits at the core of this vision, designing and operating the high-performance interfaces that expose Perplexity’s intelligence to developers, enterprises, and products worldwide. This team owns the architecture, reliability, and security of the APIs that power everything from real-time LLM queries to enterprise-scale integrations.
As a member of our API Platform engineering team, you will shape the technical foundation of Perplexity’s external platform. You’ll architect distributed systems, optimize performance at scale, and set engineering standards that ensure our APIs are fast, resilient, and a delight to build on.
Tech Stack: Python | Go | PostgreSQL | DynamoDB | Redis | FastAPI | React | Bazel | GitHub | AWS
Design, build, and operate mission-critical APIs in Python, Go, or Rust optimized for low latency, high throughput, and strong consistency.
Lead major technical initiatives, from new platform components to multi-team system redesigns.
Improve system reliability and security by implementing rate limiting, authentication, observability (metrics, tracing, logging), and automated testing.
Collaborate across teams to determine when to extend existing systems versus build new, specialized services.
Translate customer needs into scalable platform capabilities and generalized API features.
Uphold engineering excellence through design reviews, code quality, and internal documentation.
5+ years of backend engineering experience with Python, Go, or Rust.
Strong understanding of high-traffic API design: versioning, schema evolution, idempotency, auth patterns, and performance tuning.
Hands-on experience running AWS services, plus fluency with Kubernetes, CI/CD, and modern DevOps practices.
Experience with LLM or natural-language APIs (latency tuning, streaming, model orchestration) is a strong plus.
Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt.
Perplexity AI is hiring a People Ops Manager on an 8-month maternity cover basis, with the possibility of extending into a permanent role. This role centres on legal compliance, employment law, and visa and immigration processing across the UK and EU. You will own the full employee lifecycle, ensuring operational continuity while the current post-holder is on leave. The ideal candidate brings hands-on experience from a fast-paced tech environment and is confident navigating UK employment law, right-to-work requirements, and multi-jurisdictional compliance.
Legal & Compliance:
Ensure company-wide compliance with UK employment law.
Advise leadership on disciplinary, grievance, termination, and legal matters across UK and EU jurisdictions.
Draft, review, and update employment contracts, offer letters, and company policies.
Liaise with external legal counsel and manage relationships with employment lawyers.
Coordinate with immigration lawyers and local authorities to ensure the relocation process for international hires
Visa & Immigration Processing:
Manage end-to-end immigration cases, including UK Skilled Worker visas and EU work permits.
Maintain a visa tracking system for all sponsored employees; ensure timely renewals and UK sponsor licence compliance.
Conduct right-to-work checks for all new hires and maintain auditable records.
Prepare and submit Sponsor Management System (SMS) reports and ensure Home Office compliance.
Advise hiring managers on sponsorship routes, timelines, and eligibility requirements
People Operations:
Administer HRIS platforms (Rippling, Deel) and ensure data accuracy across all employee records.
Manage onboarding and off-boarding processes, payroll coordination, and benefits administration.
Support performance review cycles and compensation processes.
Serve as the first point of contact for employee queries and people-related initiatives.
7+ years in People Ops, HR, or Global Mobility, ideally in a tech or startup environment.
Strong working knowledge of UK employment law and regulatory compliance.
Proven experience managing visa and immigration cases end-to-end (UK Skilled Worker, EU work permits, or equivalent).
Familiarity with HRIS platforms such as Rippling or Deel. Excellent attention to detail and discretion when handling sensitive information.
Experience working across multiple jurisdictions is a plus. Flexibility to work with US time zones (occasional overlap with PST/EST required)
Perplexity is seeking a hands-on Software Engineer to build and evolve the software, automations, and systems that power our security operations. This role focuses on engineering security tools and internal AI-driven agents that improve detection and response, vulnerability management, and the overall security posture of our products and infrastructure.
Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling.
Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks.
Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking.
Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations.
Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features.
Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis.
Build automation to reduce manual work in incident response, containment, and remediation.
Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms.
4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities.
Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools.
Experience integrating with security-relevant systems such as logging pipelines, SIEMs, EDR, cloud APIs, or identity platforms.
Practical experience with threat modeling, secure design, or application security reviews for services or features.
Experience operating or contributing to bug bounty or vulnerability management programs is a plus.
Familiarity with cloud infrastructure (AWS preferred) and modern SaaS environments.
Ability to work closely with cross-functional teams, own projects end-to-end, and ship pragmatic, high-impact improvements.
Bonus: Experience designing or improving AI-powered agents or automation used for security operations.
Perplexity is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world.
As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users. You will lead, grow, and support a team in solving many open problems in AI, including:
Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users;
Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;
Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding;
Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;
Designing optimal data representations and modes of interaction between agents and their environments;
and much, much more.
Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space.
Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.
Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps.
Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team.
Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates.
Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry.
Strong foundational familiarity with the full AI product stack.
Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
Domain expertise in at least one of the following areas:
Context engineering and tool interfaces for frontier AI models
Post-training and reinforcement learning (particularly for multimodal models)
Browser technologies (CDP, Playwright, extension development, etc.)
Strong product intuition and taste for user experience excellence.
Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better).
Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical.
Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent.
8+ years of engineering experience, with at least 3 of those years as an engineering manager.
Perplexity is seeking an energetic engineer to join our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem and Perplexity Computer, our platform for generalized frontier intelligence. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world.
As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including:
Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users;
Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;
Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding;
Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;
Designing optimal data representations and modes of interaction between agents and their environments;
and much, much more.
Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space.
Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.
Ensure a high craft and quality bar, in both AI agent performance and user experience.
Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into our frontier agentic products and vice-versa.
Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team.
Strong foundational familiarity with the full AI product stack.
Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
Significant experience in at least one of the following areas:
Context engineering and tool interfaces for frontier AI models
Post-training and reinforcement learning (particularly for multimodal models)
Browser technologies (CDP, Playwright, extension development, etc.)
Strong product intuition and taste for user experience excellence.
Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership.
A passion for shipping products that surprise and delight.
Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information.
Internship program: 12 - 24 weeks, full-time, in-person in the Belgrade office.
Responsibilities:
Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.
Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.
Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks.
Support deployment and monitoring of search and ranking models in a scalable and performant way.
Help build and iterate on RAG pipelines for grounding and answer generation.
Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.
Qualifications:
Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.
Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.
Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.
Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment
Experience with Rust will be a plus
Internship Program Berlin
Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office.
Responsibilities
Relentlessly push search quality forward — through models, data, tools, or any other leverage available.
Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models.
Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval.
Build and optimize RAG pipelines for grounding and answer generation.
Qualifications
Understanding of search and retrieval systems, including quality evaluation principles and metrics.
Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models.
Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation.
Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).
Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable.
Internship program: 12 - 24 weeks, full-time, in-person in the Belgrade office.
Responsibilities:
Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers.
Design internal tools and automation to improve developer workflows and operational efficiency.
Support the design, deployment, and monitoring of cloud-native systems on AWS.
Contribute to improving CI/CD pipelines, testing infrastructure, and release processes.
Debug and optimize Linux-based services, containers, and backend systems.
Contribute to product codebases, primarily using Rust, Go or C++.
Qualifications:
Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects.
Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement.
Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance.
A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment
Perplexity is seeking a highly motivated and skilled Enterprise Growth Lead to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth and fostering strong relationships with potential clients. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to shape the future of enterprise AI.
Responsibilities
Drive new business by prospecting, pitching, and closing Perplexity Enterprise Pro solutions with large organizations
Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs
Conduct high-impact product demonstrations and respond to RFPs and technical inquiries
Lead client engagement through the entire sales cycle—from initial presentation, technical evaluation, negotiation, to closing and onboarding
Build and nurture senior-level relationships across enterprise clients, championing Perplexity’s value proposition and customer outcomes
Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit
Maintain up-to-date knowledge of Perplexity’s platform, industry trends, and competitor landscape
Meet or exceed individual and team revenue targets on a monthly and quarterly basis
Maintain accurate records of pipeline and account activity using CRM tools
Qualifications
5+ years of full-cycle SaaS sales experience, ideally with enterprise-level clients
Proven record of meeting or exceeding annual revenue targets in a high-growth environment
Skilled at complex sales cycles, tailoring messaging to different buyer personas and decision makers
Proven success outbound prospecting to large enterprise
Exceptional written and verbal communication; comfortable presenting to C-suite executives
Adept at identifying client pain points and mapping solutions that drive business value
Ability to collaborate effectively with both cross-functional teams and technical stakeholders
Experience with CRM systems (e.g. Salesforce)
Bachelor’s degree or equivalent experience
The cash compensation for this role is $200,000-400,000 OTE based on experience level.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
","descriptionPlain":"Perplexity is seeking a highly motivated and skilled Enterprise Growth Lead to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth and fostering strong relationships with potential clients. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to shape the future of enterprise AI.\n\nResponsibilities\n\n - Drive new business by prospecting, pitching, and closing Perplexity Enterprise Pro solutions with large organizations\n\n - Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs\n\n - Conduct high-impact product demonstrations and respond to RFPs and technical inquiries\n\n - Lead client engagement through the entire sales cycle—from initial presentation, technical evaluation, negotiation, to closing and onboarding\n\n - Build and nurture senior-level relationships across enterprise clients, championing Perplexity’s value proposition and customer outcomes\n\n - Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit\n\n - Maintain up-to-date knowledge of Perplexity’s platform, industry trends, and competitor landscape\n\n - Meet or exceed individual and team revenue targets on a monthly and quarterly basis\n\n - Maintain accurate records of pipeline and account activity using CRM tools\n\nQualifications\n\n - 5+ years of full-cycle SaaS sales experience, ideally with enterprise-level clients\n\n - Proven record of meeting or exceeding annual revenue targets in a high-growth environment\n\n - Skilled at complex sales cycles, tailoring messaging to different buyer personas and decision makers\n\n - Proven success outbound prospecting to large enterprise\n\n - Exceptional written and verbal communication; comfortable presenting to C-suite executives\n\n - Adept at identifying client pain points and mapping solutions that drive business value\n\n - Ability to collaborate effectively with both cross-functional teams and technical stakeholders\n\n - Experience with CRM systems (e.g. Salesforce)\n\n - Bachelor’s degree or equivalent experience\n\nThe cash compensation for this role is $200,000-400,000 OTE based on experience level.\n\n \nEquity: In addition to the base salary, equity may be part of the total compensation package.\nBenefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.\n\n "},{"id":"5ec96ca1-319a-4b85-99ce-e06629099cf9","title":"Product Marketing Manager","department":"Communications","team":"Communications","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-01-15T00:35:32.235+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/5ec96ca1-319a-4b85-99ce-e06629099cf9","applyUrl":"https://jobs.ashbyhq.com/perplexity/5ec96ca1-319a-4b85-99ce-e06629099cf9/application","descriptionHtml":"
Perplexity is revolutionizing how companies get work done. We are seeking a Product Marketing Manager to join our team and serve as the strategic bridge between our product reality and market impact. You will architect the external narrative of our products and amplify their value to inspire adoption and drive growth.
If you have a passion for creating clarity when things are messy, thrive in turning ambiguity into a definitive point of view, and want to build a world-class marketing engine that drives launches as systems rather than events, this role is for you.
Turn ambiguity into clarity. Transform complex product capabilities into a crisp market point of view, defining not just what we built, but who it’s for, what it replaces, and why it wins.
Drive launches as a system, not an event. Orchestrate product introductions by defining success metrics and sequencing readiness across teams, ensuring enablement and proof points land simultaneously with the launch.
Make others materially better at their jobs. Equip customer-facing teams with \"talk tracks that close,\" handling objections and providing competitive intelligence that reflects the actual battlefield.
Obsess over the customer and the market. Maintain a sharp, real-time view of buyer needs and alternatives, ensuring our narrative remains grounded in truth and provable value rather than empty hype.
Measure outcomes, not just outputs. Tie messaging and launches to tangible pipeline influence, activation, and retention, running lightweight experiments to iterate fast on pricing, packaging, and positioning.
Influence without authority. Lead through alignment by pre-wiring decisions, surfacing risks early, and managing trade-offs to keep product, sales, and marketing moving in lockstep.
5+ years of experience in product marketing, ideally within a high-growth technology company where you have owned end-to-end product launches.
Proven track record of synthesizing complex technical concepts into simple, specific, and provable narratives that travel across executive, sales, and partner teams.
Deep familiarity with the rules of traditional marketing with an interest in breaking them.
World-class storytelling skills grounded in data, with the ability to summarize a product’s value in a single sentence and defend it with evidence.
Extreme comfort delivering clarity in high-velocity, ambiguous environments.
Perplexity is revolutionizing how companies get work done. We are seeking a Senior Manager, Executive Communications to join our team and serve as a strategic partner to our leadership. You will architect and amplify the voices of our executives to inspire our rapidly growing team.
If you have a passion for shaping culture through communication, thrive in bridging the gap between leadership vision and employee engagement, and want to build a world-class communications function from 0 to 1, this role is for you.
Create exceptional and strategic executive communications, including stage speeches, leadership emails, board decks, and other formats that require excellent writing and critical thinking to articulate the company vision and strategy.
Lead Perplexity's next phases of growth, managing complex information flow during high-growth, evolving and owning all-hands presentations, Slack communications, and more.
Develop a unique and authentic voice for our executives and company leaders internally and externally.
Synthesize complex AI-related topics and business strategies into clear narratives internally and externally.
Partner closely with all teams to lead change management communications, translating complex organizational updates into simple and compelling messages.
7+ years of experience in executive communications, ideally within a high-growth technology company or leading communication agency.
Proven track record of supporting senior executives and managing complex change management initiatives.
World-class writing, editing, and storytelling skills with the ability to capture different executive tones.
Deep familiarity with the rules with an interest in breaking them.
Attention to detail and the ability to execute quickly in a fast-paced environment.
Extreme comfort working with senior executives, principled confrontation, and inspiring audiences in multiple formats and contexts.
We're looking for a Model Behavior Architect to help build Perplexity's AI products and evaluations. You'll sit within our AI team and collaborate closely with research and product teams, designing prompt and context engineering strategies to deliver high quality user experiences across multiple domains and models.
This role is equal parts craft and science. You'll develop a deep understanding of our answer engine by pressure-testing model capabilities and working across our AI infrastructure (including system and tool prompts, skills, and evaluations) to create a stellar product experience for our users.
You'll serve as a go-to expert on prompting, model quality, and behavioral consistency across new product features and model releases.
Context Engineering: Design, test, and optimize context strategies and system prompts that shape answer engine behavior across products, features, and use cases.
Evaluation Systems: Build automated and semi-automated evaluation pipelines that measure model quality, catch regressions, and scale across product surfaces.
Model Launch Support: Partner with research and engineering to validate model behavior before and during rollouts, ensuring smooth transitions with no degradation.
Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects — for both internal and production-facing systems.
Cross-functional Collaboration: Work closely with design, product, and research teams to translate product goals into concrete model behavior requirements.
Knowledge Sharing: Help engineers across teams build intuition for prompt design, context engineering, and evaluation best practices.
Staying Current: Track the latest alignment, evaluation, and prompting techniques from industry and academia, and bring the best ideas back to the team.
Experience designing evaluations, benchmarks, or metrics for AI systems.
Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders.
Ability to manage multiple concurrent projects in a fast-moving environment.
Strong experience with Perplexity or other frontier AI models in production settings.
Demonstrated experience with Python — you'll prototype, debug, automate, and build systems at scale.
3+ years of experience working with LLMs in a product or research setting.
Experience with A/B testing or experimentation frameworks.
Track record of improving AI system performance through systematic evaluation and iteration.
Get excited about edge cases in model behavior and love digging into how an answer could be better.
Enjoy turning qualitative \"this feels off\" intuitions into quantitative metrics and systematic fixes.
Want to work at the intersection of research and product, where your work ships to real users same-day.
Are comfortable with ambiguity and can define what \"good\" looks like for novel AI features.
Have a hacker spirit — you'd rather build a quick prototype to test a hypothesis than debate it in a doc.
Care deeply about making AI more reliable and useful for our users.
We are looking for an Inference Engineering Manager to lead our AI Inference team. This is a unique opportunity to build and scale the infrastructure that powers Perplexity's products and APIs, serving millions of users with state-of-the-art AI capabilities.
You will own the technical direction and execution of our inference systems while building and leading a world-class team of inference engineers. Our current stack includes Python, PyTorch, Rust, C++, and Kubernetes. You will help architect and scale the large-scale deployment of machine learning models behind Perplexity's Comet, Sonar, Search, Deep Research products.
Build SOTA systems that are the fastest in the industry with cutting-edge technology
High-impact work on a smaller team with significant ownership and autonomy
Opportunity to build 0-to-1 infrastructure from scratch rather than maintaining legacy systems
Work on the full spectrum: reducing cost, scaling traffic, and pushing the boundaries of inference
Direct influence on technical roadmap and team culture at a rapidly growing company
Lead and grow a high-performing team of AI inference engineers
Develop APIs for AI inference used by both internal and external customers
Architect and scale our inference infrastructure for reliability and efficiency
Benchmark and eliminate bottlenecks throughout our inference stack
Drive large sparse/MoE model inference at rack scale, including sharding strategies for massive models
Push the frontier with building inference systems to support sparse attention, disaggregated pre-fill/decoding serving, etc.
Improve the reliability and observability of our systems and lead incident response
Own technical decisions around batching, throughput, latency, and GPU utilization
Partner with ML research teams on model optimization and deployment
Recruit, mentor, and develop engineering talent
Establish team processes, engineering standards, and operational excellence
5+ years of engineering experience with 2+ years in a technical leadership or management role
Deep experience with ML systems and inference frameworks (PyTorch, TensorFlow, ONNX, TensorRT, vLLM)
Strong understanding of LLM architecture: Multi-Head Attention, Multi/Grouped-Query Attention, and common layers
Experience with inference optimizations: batching, quantization, kernel fusion, FlashAttention
Familiarity with GPU characteristics, roofline models, and performance analysis
Experience deploying reliable, distributed, real-time systems at scale
Track record of building and leading high-performing engineering teams
Experience with parallelism strategies: tensor parallelism, pipeline parallelism, expert parallelism
Strong technical communication and cross-functional collaboration skills
Experience with CUDA, Triton, or custom kernel development
Background in training infrastructure and RL workloads
Experience with Kubernetes and container orchestration at scale
Published work or contributions to inference optimization research
Drive Revenue & Qualify Opportunities
Balance dual inbound and outbound responsibilities to drive pipeline growth
Qualify inbound enterprise prospects using BANT criteria to identify high-value opportunities for Account Executive handoff
Execute targeted outbound campaigns to penetrate specific industry verticals
Strategic Outbound & Market Development
Use social selling to represent the Perplexity brand—posting, commenting, and experimenting with new formats to stay top-of-mind with prospects
Research and map accounts within assigned verticals to build comprehensive prospect lists
Develop vertical-specific messaging that resonates with industry pain points and use cases for Perplexity Enterprise
Contribute to top of funnel strategy
Sales Operations & Excellence
Maintain pristine data hygiene in Salesforce, ensuring all prospect interactions and qualification criteria are documented
Respond rapidly to inbound inquiries with consultative, value-driven communication
Build and iterate on outbound sequences that drive consistent pipeline generation
What You'll Need
Core competencies
Exceptional communication skills: Ability to articulate complex AI/search solutions clearly via email and phone, adapting tone and technical depth to various stakeholders
Vertical expertise: Demonstrated understanding of at least one key industry (e.g., Financial Services, Healthcare, Legal, Consulting) with ability to speak to industry-specific challenges
Sales acumen: Proven ability to qualify prospects using BANT methodology while maintaining velocity in the sales cycle
Technical aptitude: Comfort discussing enterprise software, APIs, and AI capabilities at a high level
Self-starter mentality with ability to manage competing priorities (closing deals vs. qualifying for AEs)
Data-driven approach to tracking conversion rates, response times, and pipeline metrics
Intellectual curiosity about how AI and advanced search transform enterprise workflows
Ability to thrive in a fast-paced environment where processes are still being defined
Nice to Haves
9 months to two years in SaaS sales development or business development roles
Experience selling to technical and non-technical buyers
Familiarity with enterprise AI/ML solutions or search technologies
Track record of consistently achieving 100%+ of quota
Pulling data with Salesforce Reporting, SQL or Business intelligence tools
Bachelor's degree or equivalent practical experience
Experience at a high-growth technology startup
Perplexity is seeking creative, AI-pilled engineers to join our Acceleration team. Our company is reshaping the way people navigate the internet and the wider world. The Acceleration team's mandate is to continually uplevel the way our company and our teams operate, to deliver order-of-magnitude improvements in product and user experience.
Just as Perplexity is heralding an agentic future for the internet, you will ensure that our company makes the best use of AI tools and agents to multiply the leverage of our lean, mission-focused teams. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Tomorrow’s AI technology will be even more capable, and the Acceleration team will lead both software and process engineering to harness AI so that the company can deliver at maximum velocity.
The ideal candidate will possess sound technical judgment forged in the trenches of internet-scale companies, paired with voracious use of today’s most advanced AI tools/models and a capacious imagination to rethink how work gets done in the leading companies of tomorrow. They should thrive in a hybrid role that marries facets of AI product development, infrastructure/platform engineering, developer experience, and more.
Identify, prioritize, and execute on the highest-potential opportunities to accelerate Perplexity’s delivery cadence with frontier AI capabilities.
Develop empathy for the nuances of our technical and business teams’ work across disciplines and verticals, toward collaborating with them to harness AI in new ways.
Make our codebases, systems, and knowledge stores legible to AI.
Help the company triangulate toward the optimal point on the quality-velocity Pareto frontier, while shifting that frontier outward with AI tools and agents.
Keep abreast of new AI tools/models and make maximally effective use of them in your own work, setting an example across the company and inspiring others to do the same.
Help the company make high-conviction bets on specific technologies in situations where indecision is a comfortable and tempting default.
Work with engineering leadership, recruiting, and others to ensure we instill an AI-forward culture and select for those who will thrive in such an environment.
Note: this is an extremely technical and hands-on role. Strong vision and creativity is necessary but not sufficient for success. You will be expected to build both prototypes and production systems, as well as to reengineer our codebases, infrastructure, processes, and anything else that must evolve to realize this vision.
5 to 15+ years of industry experience, ideally with a substantial portion focused on infrastructure/platform engineering or developer acceleration in environments featuring significant technical complexity.
Daily use of AI models/tools, along with strong intuition on their jagged frontiers.
Proficiency with Python, along with experience and/or desire to learn more about Rust, TypeScript, Go, and other languages.
Strong understanding of (and empathy for) the work of technical staff across disciplines, along with an enthusiasm to learn about the work of business and operations teams.
Broad working knowledge of the typical stacks used by AI product & applied research companies. (For example: you don’t need to have experience hand-rolling CUDA kernels, but you should know what CUDA is and when/where/why it’s used.)
An obsession with improving the legibility of (and reducing brittleness in) both software and human-orchestrated processes.
Experience navigating tricky exploration-exploitation tradeoffs, balancing the need to ship today with the need to build capacity for tomorrow.
Perplexity is looking for experienced Infrastructure Engineers to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of tools, systems, and platforms that empower web, mobile, and browser engineers to build state-of-the-art products. You’ll play a critical role in enabling our product, AI, and developer teams to innovate quickly while ensuring reliability, security, and performance at scale.
Tech Stack: Python | Go | TypeScript | PostgreSQL | DynamoDB | Redis | FastAPI | React | Bazel | GitHub | AWS
Platform
The Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence. This small, high-impact group builds and maintains critical infrastructure—from backend systems such as authentication, real-time data flows, and service orchestration to frontend frameworks that ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime, and developer productivity, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.
DevX
DevX (Developer Experience) empowers engineers across Perplexity to build, ship, and iterate faster than ever. The team owns internal platforms for source control, build, test, and deployment—removing friction from every step of product development. They architect seamless onboarding, blazing-fast CI/CD, and developer tools that unlock creativity and safety at scale. Through deep collaboration and high autonomy, the DevX team amplifies the impact of every engineer, making rapid, reliable innovation possible across the company.
Cloud Infra
The Cloud Infra team architects and operates the mission-critical cloud infrastructure behind Perplexity’s global platform. This team designs and scales compute, storage, and networking systems for high-throughput, low-latency workloads, blending a mix of proactive project work and operational support. The team collaborates closely with product, AI research, security, and the rest of Perplexity’s teams to ensure our services are always available, reliable, and as fast as curiosity demands—building infrastructure that grows in lockstep with user and model scale.
","descriptionPlain":"Perplexity is looking for experienced Infrastructure Engineers to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of tools, systems, and platforms that empower web, mobile, and browser engineers to build state-of-the-art products. You’ll play a critical role in enabling our product, AI, and developer teams to innovate quickly while ensuring reliability, security, and performance at scale.\n\nTech Stack: Python | Go | TypeScript | PostgreSQL | DynamoDB | Redis | FastAPI | React | Bazel | GitHub | AWS\n\n\nTEAMS HIRING\n\nPlatform\n\nThe Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence. This small, high-impact group builds and maintains critical infrastructure—from backend systems such as authentication, real-time data flows, and service orchestration to frontend frameworks that ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime, and developer productivity, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.\n\nDevX\n\nDevX (Developer Experience) empowers engineers across Perplexity to build, ship, and iterate faster than ever. The team owns internal platforms for source control, build, test, and deployment—removing friction from every step of product development. They architect seamless onboarding, blazing-fast CI/CD, and developer tools that unlock creativity and safety at scale. Through deep collaboration and high autonomy, the DevX team amplifies the impact of every engineer, making rapid, reliable innovation possible across the company.\n\nCloud Infra\n\nThe Cloud Infra team architects and operates the mission-critical cloud infrastructure behind Perplexity’s global platform. This team designs and scales compute, storage, and networking systems for high-throughput, low-latency workloads, blending a mix of proactive project work and operational support. The team collaborates closely with product, AI research, security, and the rest of Perplexity’s teams to ensure our services are always available, reliable, and as fast as curiosity demands—building infrastructure that grows in lockstep with user and model scale."},{"id":"08d510a4-c217-4967-a035-b5b8147e5c62","title":"Engineering Manager (AI Research & Model Training)","department":"AI","team":"AI","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-04-13T19:49:00.410+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/08d510a4-c217-4967-a035-b5b8147e5c62","applyUrl":"https://jobs.ashbyhq.com/perplexity/08d510a4-c217-4967-a035-b5b8147e5c62/application","descriptionHtml":"Perplexity is seeking a Research Engineering Manager to lead the team of all-star AI researchers and engineers responsible for developing the models that drive our products. Our team has developed some of the most advanced models for agentic research, query understanding, and other domains that require accuracy and depth. As we expand our userbase and portfolio of product surfaces, our in-house models are increasingly critical to providing a premium, high-taste experience for the world’s most sophisticated users.
You will dive into our rich datasets of conversational and agentic queries, leveraging cutting‑edge training techniques to scale AI model performance. Through hands-on technical and organizational leadership, you will empower your team to develop SotA models for the use cases that matter most to our business and our users.
Lead a team of researchers and engineers focused on training SotA models for Perplexity-relevant use cases, leveraging the latest supervised and reinforcement learning techniques.
Drive research and engineering efforts to develop production models through advanced model training and alignment techniques, including RL, SFT, and other approaches.
Become deeply familiar with the team’s technical stack, leading from the front through hands-on technical contributions.
Own the data, training, and eval pipelines required to train and continuously improve LLM models.
Design and iterate on model training and finetuning algorithms (e.g., preference‑based methods, reinforcement learning from human or AI feedback) through an approach that balances scientific rigor and iteration velocity.
Design evaluations and improve the production model training pipeline to reliably deliver models that lie on the Pareto frontier of speed and quality.
Work closely with engineering teams to integrate in-house models into our product and rapidly iterate based on real‑world usage.
Manage day‑to‑day execution, project planning, and prioritization for the model training team to hit ambitious quality and performance goals.
Proven experience with large-scale LLMs and Deep Learning systems.
Strong Python and PyTorch skills; versatility across languages and frameworks is a plus.
Experience leading or managing research or engineering teams working on large-scale AI model development, including driving complex projects from idea to production.
Self‑starter with a willingness to take ownership of tasks and navigate ambiguity in a fast‑moving environment.
Passion for tackling challenging problems in AI model quality, speed, safety, and reliability.
10+ years of technical experience, with at least 2 of those years as a manager and at least 4 of those years working on large-scale AI model development.
PhD in Machine Learning or related areas.
Experience training very large Transformer-based models with techniques such as SFT, DPO, GRPO, RLHF‑style methods, or related preference‑based optimization approaches.
Prior experience designing evaluations and production training pipelines for large‑scale models in a high‑growth environment.
Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems.
This role is hybrid in Belgrade, London or Berlin.
Responsibilities
Find and diagnose quality issues in our search pipeline
Design metrics from scratch to track and measure search quality
Build datasets for model training, including LLM-as-a-judge labeling pipelines
Improve search snippet quality and page selection algorithms for indexing
Design and analyze A/B experiments to validate improvements
Qualifications
4+ years of experience as a data analyst or in a related role
Strong coding skills — expected to write production-grade code at a mid-level backend engineer level
Proficiency with SQL and Python
Demonstrated hands-on experience with at least one of the following:
Designing metrics from scratch (not just analyzing existing A/B experiments)
Building labeling pipelines using LLM-as-a-judge
Training ML models that shipped to production with measurable metric improvements
Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals
Preferred Qualifications
Experience working on search-related products
Knowledge of statistics and A/B experiment design
Experience with Apache Spark or Databricks
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search-based LLM answers and other scenarios popular with our users.
Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity's products, ensuring high standards for accuracy and helpfulness
Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer's quality
Develop VLM-based solutions to programmatically evaluate how final answers render visually across different platforms and devices
Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements
Operate within a small, high-impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality
PhD or MS in a technical field or equivalent experience
4+ years of experience in data science or machine learning
Strong proficiency in Python and SQL (expected to write production-grade code)
Experience building within a modern cloud data stack, specifically AWS and Databricks
Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster
1+ years of experience working with LLMs at scale, specifically with LLM-as-a-judge setups
Prior experience working on customer-facing web products or consumer apps, with real user traffic at scale
A strong research background, with experience applying research methods to real-world ML problems
Experience defining evaluation metrics (e.g., factual consistency, hallucination rate, retrieval precision) and building ground truth datasets
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 a Data Scientist/Engineer on this team, you will derive online signals from user interactions to bridge the gap between changes in answer quality and observed user behavior.
Discover and validate online signals from user interactions that serve as reliable proxies for true answer quality
Design and implement novel online metrics to be tracked both in A/B testing and on product health dashboards, ensuring alignment with ground-truth evaluations
Analyze experimental results to validate these metrics, ensuring they accurately predict user satisfaction and drive product decisions
Build and maintain the data pipelines that calculate these metrics at scale, delivering actionable quality signals to Search, Product, and model training teams
Communicate findings and bring clarity through close collaboration with Product and Search teams
Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality
MS in a technical field or equivalent experience
4+ years of experience working as a Data Scientist, Analytics Engineer, or related role
Experience working on search, recommendation, or LLM-based products, with an emphasis on designing online metrics and analyzing A/B experiments
Strong proficiency in Python and SQL (expected to write production-grade code)
Deep knowledge of statistical analysis
Experience with Business Intelligence (BI) tools for visualization and reporting
Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster
Proficiency with Apache Spark and Databricks
Experience with the development or validation of LLM-as-a-judge systems
Prior work supporting customer-facing products at scale
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.
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
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
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 AI is looking for an experienced iOS Engineer to join our small team revolutionizing the way people browse the Internet. You will be responsible for building and expanding Comet for iOS - Perplexity’s new browser.
The ideal candidate should have strong programming skills, an interest in AI and large language models, and a passion for delivering a great UX backed by a quality UI.
Responsibilities
Develop a performant native iOS app that millions of users around the world enjoy using.
Ensure a high craft and quality bar, both in the user experience and the developer experience.
Work closely with design teams to design fast and intuitive UI.
Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience.
Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring.
Requirements
5+ years industry experience
Strong Swift fundamentals and a proven track record of working with a modern iOS stack built with Swift, SwiftUI (iOS16+) and UIKit
Enjoys the craft of building nice UI, creating a good UX, and writing reusable and testable code
Understands low-level intricacies, and knows how to profile and measure app performance and speed
Comfortable working with a small, fast-moving team, and must be willing to dive in and take ownership
A passion for iOS development, and enjoys experimenting with what's new with each iteration of iOS and iPadOS
(Bonus) Experience with browser development
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do.
We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done.
Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size.
You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward.
Accelerate the AI-native data workflow - the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt
Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations
Make the warehouse AI-readable - build the semantic layer, context, and retrieval infrastructure that lets any AI system (internal or product) query Perplexity's data accurately and reliably
Automate the data lifecycle - self-healing pipelines, automated dbt model generation and validation, data quality agents that detect, diagnose, and fix issues autonomously
Ship AI-powered experiment analysis - agents that interpret A/B test results, flag statistical issues, and draft ship/no-ship recommendations for product teams
Own the full lifecycle - from identifying the highest-leverage problem, to prototyping with LLMs, to iterating on accuracy and UX, to production deployment and monitoring
Turn the data team into a product team - build internal data products that stakeholders across the company actually use daily, replacing ad-hoc requests with self-serve AI interfaces
6-8+ years in data science, analytics engineering, or a related role - you've been in the data trenches
Strong product sense - you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build
Deep SQL expertise - you think in SQL, you've built data models, you know your way around a warehouse
Pipeline experience - you've built and maintained data pipelines, worked with dbt, dealt with data quality issues firsthand
Enough software engineering chops to be dangerous - you can build and ship a working tool in Python, not just a notebook. You can wrangle APIs, deploy a service, write code that other people can maintain. You're not a SWE, but you're not afraid of production
Genuinely excited about AI - you've been building with LLMs on your own time. You have opinions about which models are good at what. You've tried building agents, RAG systems, or AI-powered workflows. You follow the space obsessively because you think it's going to change everything - including how data teams work
Builder mentality - you see a manual process and you can't help but automate it. You ship fast and iterate
Autonomy - this is a new function. You'll define the roadmap as much as execute it
Experience with dbt (building and maintaining production models)
Snowflake administration and optimization
You've built Slack bots, internal CLI tools, or developer productivity tools that people actually used
Background in AI agent frameworks
Experience with BI tools - you know what's worth automating because you've done the manual version
A/B testing and experimentation - you've designed experiments and analyzed results
Early-stage startup experience
Set the standard for the industry - the team is already using AI across its work. You'll be the one who turns that into something other data orgs look to as the benchmark
Recursive AI - Perplexity builds an AI answer engine for the world. You'll build one for the company. Few places offer this kind of alignment between the product and the work
Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible
Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data
Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do.
We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done.
Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size.
You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward.
Accelerate the AI-native data workflow - the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt
Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations
Make the warehouse AI-readable - build the semantic layer, context, and retrieval infrastructure that lets any AI system (internal or product) query Perplexity's data accurately and reliably
Automate the data lifecycle - self-healing pipelines, automated dbt model generation and validation, data quality agents that detect, diagnose, and fix issues autonomously
Ship AI-powered experiment analysis - agents that interpret A/B test results, flag statistical issues, and draft ship/no-ship recommendations for product teams
Own the full lifecycle - from identifying the highest-leverage problem, to prototyping with LLMs, to iterating on accuracy and UX, to production deployment and monitoring
Turn the data team into a product team - build internal data products that stakeholders across the company actually use daily, replacing ad-hoc requests with self-serve AI interfaces
6-8+ years in data science, analytics engineering, or a related role - you've been in the data trenches
Strong product sense - you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build
Deep SQL expertise - you think in SQL, you've built data models, you know your way around a warehouse
Pipeline experience - you've built and maintained data pipelines, worked with dbt, dealt with data quality issues firsthand
Enough software engineering chops to be dangerous - you can build and ship a working tool in Python, not just a notebook. You can wrangle APIs, deploy a service, write code that other people can maintain. You're not a SWE, but you're not afraid of production
Genuinely excited about AI - you've been building with LLMs on your own time. You have opinions about which models are good at what. You've tried building agents, RAG systems, or AI-powered workflows. You follow the space obsessively because you think it's going to change everything - including how data teams work
Builder mentality - you see a manual process and you can't help but automate it. You ship fast and iterate
Autonomy - this is a new function. You'll define the roadmap as much as execute it
Experience with dbt (building and maintaining production models)
Snowflake administration and optimization
You've built Slack bots, internal CLI tools, or developer productivity tools that people actually used
Background in AI agent frameworks
Experience with BI tools - you know what's worth automating because you've done the manual version
A/B testing and experimentation - you've designed experiments and analyzed results
Early-stage startup experience
Set the standard for the industry - the team is already using AI across its work. You'll be the one who turns that into something other data orgs look to as the benchmark
Recursive AI - Perplexity builds an AI answer engine for the world. You'll build one for the company. Few places offer this kind of alignment between the product and the work
Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible
Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data
Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters
Perplexity is excited to announce the Internship Program for exceptional Master’s or PhD students studying Computer Science or Engineering in the UK, enrolled in the 2025-2026 academic year. This is an intensive program in which you will work directly with our AI Inference team. This program offers a unique opportunity to gain valuable experience in a rapidly growing AI startup. Outstanding performers might be offered a full time position at the end of the program.
Our AI Inference team is responsible for running the models behind the Perplexity products. The team maintains the inference engine and deployments behind models ranging from single-node embeddings to distributed sparse Mixture-of-Experts models, maintaining large GPU clusters. With a keen focus on latency and throughput, the Inference team is responsible for the entire serving stack, from GPU kernels to networking and monitoring infrastructure.
Responsibilities
Work with the inference team to improve serving latency and throughput
Bring up support for new models and state-of-the art inference optimizations or quantization schemes
Optimize inference across the entire stack, from GPU kernels to serving endpoints
Qualifications
Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc)
Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems)
Experience with ML frameworks (Torch, JAX)
Experience with GPU programming (CUDA, Triton)
Experience with High-Performance Computing (OpenMPI)
Schedule
Internship program: 13 weeks, full-time or part-time, in-person in London office (hybrid schedule: 3 days from the office, 2 days WFH)
Interview Process
Fill out the application on Perplexity website
If selected, People Ops and technical interviews will be involved.
Offer. We’re impressed! We’d love to welcome you to our Internship program!
Start. We have a desk waiting for you in our London office!
FAQ
Do you sponsor visas? Can I apply if I need a visa to work in the UK?
→ Unfortunately we are unable to sponsor visas
What if I’m on a student visa?
→ You need to seek approval from your University (to determine if you are eligible to work full time or part time only)
How many internship spots are there?
We have spots for 2-3 interns in our 2026 class.
Is housing provided?
Unfortunately we cannot provide housing.
Is health insurance provided?
Unfortunately we cannot provide health insurance for interns. Full time employees receive full health insurance and benefits.
How many full time offers are available at the end of the residency?
There is no limit. All outstanding performers will be given a full time offer!
At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.
To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.
Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
","descriptionPlain":"Perplexity is excited to announce the Internship Program for exceptional Master’s or PhD students studying Computer Science or Engineering in the UK, enrolled in the 2025-2026 academic year. This is an intensive program in which you will work directly with our AI Inference team. This program offers a unique opportunity to gain valuable experience in a rapidly growing AI startup. Outstanding performers might be offered a full time position at the end of the program.\n\nOur AI Inference team is responsible for running the models behind the Perplexity products. The team maintains the inference engine and deployments behind models ranging from single-node embeddings to distributed sparse Mixture-of-Experts models, maintaining large GPU clusters. With a keen focus on latency and throughput, the Inference team is responsible for the entire serving stack, from GPU kernels to networking and monitoring infrastructure. \n\nResponsibilities\n\n - Work with the inference team to improve serving latency and throughput\n\n - Bring up support for new models and state-of-the art inference optimizations or quantization schemes\n\n - Optimize inference across the entire stack, from GPU kernels to serving endpoints\n\nQualifications\n\n - Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc)\n\n - Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems)\n\n - Experience with ML frameworks (Torch, JAX) \n\n - Experience with GPU programming (CUDA, Triton)\n\n - Experience with High-Performance Computing (OpenMPI)\n\nSchedule\n\n - Internship program: 13 weeks, full-time or part-time, in-person in London office (hybrid schedule: 3 days from the office, 2 days WFH)\n\nInterview Process\n\n - Fill out the application on Perplexity website\n\n - If selected, People Ops and technical interviews will be involved.\n\n - Offer. We’re impressed! We’d love to welcome you to our Internship program!\n\n - Start. We have a desk waiting for you in our London office! \n\nFAQ\n\nDo you sponsor visas? Can I apply if I need a visa to work in the UK?\n\n→ Unfortunately we are unable to sponsor visas\n\nWhat if I’m on a student visa?\n\n→ You need to seek approval from your University (to determine if you are eligible to work full time or part time only) \n\nHow many internship spots are there?\n\n - We have spots for 2-3 interns in our 2026 class.\n\nIs housing provided?\n\n - Unfortunately we cannot provide housing. \n\nIs health insurance provided?\n\n - Unfortunately we cannot provide health insurance for interns. Full time employees receive full health insurance and benefits.\n\nHow many full time offers are available at the end of the residency?\n\n - There is no limit. All outstanding performers will be given a full time offer!\n\nAt Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.\n\nTo support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.\n\nFinal offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above."},{"id":"2b5a9f9c-7cd5-4579-b7c2-69d09e0214c8","title":"Member of Technical Staff (Backend Software Engineer)","department":"Platform & Infrastructure","team":"Platform & Infrastructure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-03-03T22:57:48.486+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/2b5a9f9c-7cd5-4579-b7c2-69d09e0214c8","applyUrl":"https://jobs.ashbyhq.com/perplexity/2b5a9f9c-7cd5-4579-b7c2-69d09e0214c8/application","descriptionHtml":"Perplexity is looking for an experienced Backend Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading design, implementation, and scaling of backend systems that power web, mobile, and browser products.
Tech Stack: Python | Go | Rust | TypeScript | FastAPI | PostgreSQL | Redis | Docker | vLLM | AWS
The File Agent team builds and owns the intelligent, scalable, and secure platform that enables agentic file editing and processing across Perplexity products. They design the infrastructure and APIs that allow agents to autonomously modify, restructure, and generate files across formats and storage systems. The team delivers capabilities and performance improvements for both human-in-the-loop and automated file processing.
The Enterprise Growth team builds the core platform capabilities that make Perplexity a secure, reliable, and adoption-driving product for enterprise customers, owning end-to-end experiences across enterprise authentication (SSO, SCIM, RBAC), org creation and onboarding (white-glove and self-serve flows, invitations, discovery of existing orgs), and admin control and visibility (feature/model/connector controls, Comet controls, audit logs, usage analytics, and growth-related upsell surfaces) to ensure enterprises can confidently deploy Perplexity at scale and realize measurable business impact.
The Growth team shapes how millions of people experience Perplexity. We rapidly experiment and launch new ideas across all user-facing surfaces at Perplexity including onboarding, verticals like Students, and premium Max Tier. We build AI-powered features such as personalized prompts, auto-generated study guides, and contextual upsell nudges, driving user activation, retention, and revenue across all platforms. We own Perplexity’s growth platform, including experimentation framework, feature flagging, and notifications, to mobilize impactful feature development across the company. Engineers have outsized impact, building both the product and the platform that power our company’s growth.
The Commerce team owns the billing platform that powers monetization across all Perplexity products — from consumer subscriptions and enterprise contracts to the usage-based billing system that is the foundation monetizing Perplexity Computer and our agentic products. We build and scale the abstractions that let product teams launch new paid offerings, run pricing experiments, and convert users into paying customers. As AI agents begin to browse, shop, and transact on behalf of users, the billing platform must keep pace — metering every action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. The Commerce team sits at the core of Perplexity's growth and sustainability.
The Core Experience team designs and builds the refined human‑machine interface at the heart of Perplexity: the core asking experience across web, mobile, Comet and Computer. We own the cross-platform foundations that make querying feel effortless—expressive UX patterns, tight frontend interactions, and clear information hierarchy—while maintaining the clean abstractions and performant APIs that client platform teams rely on. This team is engineering-led and highly technical, working closely with platform owners to solve hard cross-cutting problems and uphold uncompromising standards for design, architecture, and craft. We obsess over core quality—latency, reliability, and extensibility—so Perplexity stays fast, consistent, and scalable as LLMs and agents evolve.
With AI-powered exploration and browsing, personalization and memory, live data visualization, comparison, and checkout, Perplexity is reimagining the consumer experience across verticals such as travel, shopping, health, real estate, finance, sports, live events and ticketing, and more. Each of these verticals represents an opportunity for Perplexity to disrupt massive markets dominated by slower-moving incumbents. Agentic actions powered by Comet unlock novel consumer experiences such as automated shopping and travel purchases, restaurant reservations, complete travel itineraries planned and booked from scratch, automated investing and financial analysis, and more.
The Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence. This small, high-impact group builds and maintains critical infrastructure—from backend systems such as authentication, real-time data flows, and service orchestration to frontend frameworks that ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime, and developer productivity, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.
The Data Platform team builds the backbone for how data is ingested, processed, stored, and served across Perplexity, enabling product features, analytics, experimentation, AI workloads, and the company’s data lake. This is a highly technical, high-leverage team responsible for shaping the architecture of our batch and streaming systems, orchestration and observability stack, and self-serve data platform, while making thoughtful use of external platforms like Databricks and Snowflake alongside open-source technologies such as Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. Experience building data products or contributing to open-source data infrastructure is a strong plus.
DevX (Developer Experience) empowers engineers across Perplexity to build, ship, and iterate faster than ever. The team owns internal platforms for source control, build, test, and deployment—removing friction from every step of product development. They architect seamless onboarding, blazing-fast CI/CD, and developer tools that unlock creativity and safety at scale. Through deep collaboration and high autonomy, the DevX team amplifies the impact of every engineer, making rapid, reliable innovation possible across the company.
The Cloud Infra team architects and operates the mission-critical cloud infrastructure behind Perplexity’s global platform. This team designs and scales compute, storage, and networking systems for high-throughput, low-latency workloads, blending a mix of proactive project work and operational support. The team collaborates closely with product, AI research, security, and the rest of Perplexity’s teams to ensure our services are always available, reliable, and as fast as curiosity demands—building infrastructure that grows in lockstep with user and model scale.
Build scalable systems that ingest and process data from the web, files, and other sources.
Optimize interfaces that interact with databases and caching systems.
Collaborate with PMs, frontend engineers, and other stakeholders to understand product requirements.
Work closely with AI, Search, and Data Science teams to iterate on non-deterministic systems.
Manage a complex orchestration system with many moving parts and interfaces.
Scale, optimize, and load balance multiple services with rapidly changing needs.
Strong experience with Python
Strong experience with databases and caching
Experience with AWS cloud infrastructure at scale
Experience working with high-scale data and non-deterministic systems like LLMs
4+ years of engineering experience
AI is at the heart of what we build, and using it effectively is an expectation for every role here. During interviews, we want to see how you think and make decisions—qualities that will directly influence our AI development. With that in mind, please avoid using AI tools throughout the process unless we indicate otherwise.
","descriptionPlain":"Perplexity is looking for an experienced Backend Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading design, implementation, and scaling of backend systems that power web, mobile, and browser products.\n\nTech Stack: Python | Go | Rust | TypeScript | FastAPI | PostgreSQL | Redis | Docker | vLLM | AWS\n\n\n\n\nTEAMS HIRING\n\n\nFILE AGENT\n\nThe File Agent team builds and owns the intelligent, scalable, and secure platform that enables agentic file editing and processing across Perplexity products. They design the infrastructure and APIs that allow agents to autonomously modify, restructure, and generate files across formats and storage systems. The team delivers capabilities and performance improvements for both human-in-the-loop and automated file processing.\n\n\nENTERPRISE GROWTH\n\nThe Enterprise Growth team builds the core platform capabilities that make Perplexity a secure, reliable, and adoption-driving product for enterprise customers, owning end-to-end experiences across enterprise authentication (SSO, SCIM, RBAC), org creation and onboarding (white-glove and self-serve flows, invitations, discovery of existing orgs), and admin control and visibility (feature/model/connector controls, Comet controls, audit logs, usage analytics, and growth-related upsell surfaces) to ensure enterprises can confidently deploy Perplexity at scale and realize measurable business impact.\n\n\nGROWTH\n\nThe Growth team shapes how millions of people experience Perplexity. We rapidly experiment and launch new ideas across all user-facing surfaces at Perplexity including onboarding, verticals like Students, and premium Max Tier. We build AI-powered features such as personalized prompts, auto-generated study guides, and contextual upsell nudges, driving user activation, retention, and revenue across all platforms. We own Perplexity’s growth platform, including experimentation framework, feature flagging, and notifications, to mobilize impactful feature development across the company. Engineers have outsized impact, building both the product and the platform that power our company’s growth.\n\n\nAGENTIC COMMERCE\n\nThe Commerce team owns the billing platform that powers monetization across all Perplexity products — from consumer subscriptions and enterprise contracts to the usage-based billing system that is the foundation monetizing Perplexity Computer and our agentic products. We build and scale the abstractions that let product teams launch new paid offerings, run pricing experiments, and convert users into paying customers. As AI agents begin to browse, shop, and transact on behalf of users, the billing platform must keep pace — metering every action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. The Commerce team sits at the core of Perplexity's growth and sustainability.\n\n\nCORE EXPERIENCE\n\nThe Core Experience team designs and builds the refined human‑machine interface at the heart of Perplexity: the core asking experience across web, mobile, Comet and Computer. We own the cross-platform foundations that make querying feel effortless—expressive UX patterns, tight frontend interactions, and clear information hierarchy—while maintaining the clean abstractions and performant APIs that client platform teams rely on. This team is engineering-led and highly technical, working closely with platform owners to solve hard cross-cutting problems and uphold uncompromising standards for design, architecture, and craft. We obsess over core quality—latency, reliability, and extensibility—so Perplexity stays fast, consistent, and scalable as LLMs and agents evolve.\n\n\nLIVE EVENTS\n\nWith AI-powered exploration and browsing, personalization and memory, live data visualization, comparison, and checkout, Perplexity is reimagining the consumer experience across verticals such as travel, shopping, health, real estate, finance, sports, live events and ticketing, and more. Each of these verticals represents an opportunity for Perplexity to disrupt massive markets dominated by slower-moving incumbents. Agentic actions powered by Comet unlock novel consumer experiences such as automated shopping and travel purchases, restaurant reservations, complete travel itineraries planned and booked from scratch, automated investing and financial analysis, and more.\n\n\nBACKEND PLATFORM\n\nThe Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence. This small, high-impact group builds and maintains critical infrastructure—from backend systems such as authentication, real-time data flows, and service orchestration to frontend frameworks that ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime, and developer productivity, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.\n\n\nDATA PLATFORM\n\nThe Data Platform team builds the backbone for how data is ingested, processed, stored, and served across Perplexity, enabling product features, analytics, experimentation, AI workloads, and the company’s data lake. This is a highly technical, high-leverage team responsible for shaping the architecture of our batch and streaming systems, orchestration and observability stack, and self-serve data platform, while making thoughtful use of external platforms like Databricks and Snowflake alongside open-source technologies such as Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. Experience building data products or contributing to open-source data infrastructure is a strong plus.\n\n\nDEVELOPER EXPERIENCE\n\nDevX (Developer Experience) empowers engineers across Perplexity to build, ship, and iterate faster than ever. The team owns internal platforms for source control, build, test, and deployment—removing friction from every step of product development. They architect seamless onboarding, blazing-fast CI/CD, and developer tools that unlock creativity and safety at scale. Through deep collaboration and high autonomy, the DevX team amplifies the impact of every engineer, making rapid, reliable innovation possible across the company.\n\n\nCLOUD INFRASTRUCTURE\n\nThe Cloud Infra team architects and operates the mission-critical cloud infrastructure behind Perplexity’s global platform. This team designs and scales compute, storage, and networking systems for high-throughput, low-latency workloads, blending a mix of proactive project work and operational support. The team collaborates closely with product, AI research, security, and the rest of Perplexity’s teams to ensure our services are always available, reliable, and as fast as curiosity demands—building infrastructure that grows in lockstep with user and model scale.\n\n\n\n\n\nRESPONSIBILITIES\n\n - Build scalable systems that ingest and process data from the web, files, and other sources.\n\n - Optimize interfaces that interact with databases and caching systems.\n\n - Collaborate with PMs, frontend engineers, and other stakeholders to understand product requirements.\n\n - Work closely with AI, Search, and Data Science teams to iterate on non-deterministic systems.\n\n - Manage a complex orchestration system with many moving parts and interfaces.\n\n - Scale, optimize, and load balance multiple services with rapidly changing needs.\n\n\nQUALIFICATIONS\n\n - Strong experience with Python\n\n - Strong experience with databases and caching\n\n - Experience with AWS cloud infrastructure at scale\n\n - Experience working with high-scale data and non-deterministic systems like LLMs\n\n - 4+ years of engineering experience\n\nAI is at the heart of what we build, and using it effectively is an expectation for every role here. During interviews, we want to see how you think and make decisions—qualities that will directly influence our AI development. With that in mind, please avoid using AI tools throughout the process unless we indicate otherwise."},{"id":"111dfa6f-e6f3-45b6-9de4-69e4a28e3f12","title":"Enterprise Customer Support Specialist","department":"Customer Success & Support","team":"Customer Success & Support","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-03-17T19:51:35.666+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/111dfa6f-e6f3-45b6-9de4-69e4a28e3f12","applyUrl":"https://jobs.ashbyhq.com/perplexity/111dfa6f-e6f3-45b6-9de4-69e4a28e3f12/application","descriptionHtml":"Perplexity is an AI-powered answer engine used to solve billions of queries every month. We build accurate, trustworthy AI that powers decision-making for curious people and organizations worldwide.
We are looking for an experienced Enterprise Customer Support Specialist who can marry deep product expertise with a passion for scaling world-class support through automation. You will be the primary advocate for our Enterprise Pro customers, helping them maximize value, troubleshooting complex issues, and feeding their insights straight into future product development.
Work directly with enterprise customers—via tickets, Slack, and sometimes calls—to diagnose and resolve their most complex technical and product questions, acting as the “last line of defense” before Product and Engineering step in.
Leverage Perplexity’s own AI tooling and workflow automations to democratize world-class support at scale, continuously identifying opportunities to replace repetitive tasks with agentic, self-service solutions that feel personalized.
Build durable relationships with Enterprise users, advising on best practices, capturing structured feedback, and championing customer needs in roadmap discussions.
Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations.
Design and maintain detailed use-case flows, playbooks, and internal runbooks that empower teammates and customers to solve recurring challenges faster.
Create and update external documentation (FAQs, help center, guides, tutorials) and internal knowledge bases to ensure information is discoverable and up-to-date.
Track and report support KPIs (response time, CSAT, resolution rates) and propose data-driven process improvements.
Participate in an on-call rotation—including some holidays or weekends—to guarantee timely global coverage.
Minimum 3+ years in B2B enterprise customer support with exposure to U.S. and E.U. markets, or similar fast-paced tech environments.
Hands-on experience prompting large-language models, plus a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs, etc.).
Ability to translate complex technical concepts—APIs, SSO/SAML, cloud integrations—into clear, actionable guidance for non-technical stakeholders.
Demonstrated strength in critical thinking, rapid context-switching, and ruthless prioritization when juggling multiple escalations1.
Proficiency with modern support platforms (Intercom, Zendesk, Jira) and basic data-analysis tools (e.g., SQL, Looker, Snowflake).
Exceptional written and spoken English; business-level fluency in at least one additional language such as Spanish, French, or German is strongly preferred.
Passion for continuous learning, high ownership, and a “do-what-it-takes” mindset in ambiguous situations.
Prior experience supporting AI, search, or knowledge-management products.
Familiarity with payment platforms (Stripe), enterprise identity (SSO/OAuth), and API integrations.
Knowledge of enterprise cloud-storage ecosystems (Google Drive, SharePoint, Dropbox) and data-governance best practices.
Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support
Velocity & Ownership – Ship improvements quickly in a culture that values curiosity, speed, and quality
Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.
Perplexity is seeking a highly motivated and skilled Demand Generation Lead to join our GTM team. This is a high-impact, high-autonomy role. You’ll own Perplexity’s demand generation engine for our enterprise and business products, partnering closely with Sales, Product Marketing, and Revenue Operations to accelerate pipeline and revenue growth.
If you’re the kind of marketer who builds their own tools, automates ruthlessly, and treats every campaign as an experiment—this role was written for you.
RESPONSIBILITES
Own Perplexity’s end-to-end demand generation strategy with direct accountability for enterprise top of funnel growth and downstream conversion to revenue.
Architect and operate a modern demand engine using AI-native tooling—programmatic outbound, AI-personalized sequences, intent-based targeting, and automated workflows—that generates qualified pipeline at scale. We don’t buy, we build.
Design and execute multi-channel campaigns across paid, organic, ABM, events, partnerships, and emerging channels, continuously testing new motions, killing what doesn’t work, and doubling down on incremental impact.
Develop segmentation and targeting strategies for priority enterprise buyer personas, including IT leaders, executives, developers, and AI decision-makers.
Partner with Product Marketing, Sales, and Revenue Operations to own and continuously improve the marketing-to-sales funnel.
WHAT WE’RE LOOKING FOR:
5+ years building and scaling multiple growth channels at a fast paced startup with a proven track record of revenue growth
Experience and deep interest in building homegrown AI-driven outbound engines, programmatic personalization, and rapid experimentation platforms to scale yourself.
Analytically rigorous: You are deeply data-driven, comfortable in SQL, attribution measurement, and BI tools like Looker, Omni, Hex, and Tableau. You build your own dashboards, define your own metrics, and make decisions based on evidence, not intuition.
Thrives in ambiguity: You operate independently with urgency and ownership in fast-paced, early-stage environments where processes are still being defined.
The User Operations team at Perplexity AI is the frontline of our user experience. We ensure that our AI-powered search and answer engine delivers real value to millions of consumer users and a growing base of Enterprise Pro customers. Our team operates across 3-4 active support channels—email, in-app messaging, Slack, and community—and collaborates closely with Product, Engineering, Finance, and Enterprise GTM to turn user feedback into product improvements. We're a lean, fast-moving group at a startup that ships constantly, so everyone on the team wears multiple hats and contributes well beyond just resolving tickets.
We're looking for a User Operations Generalist with strong billing and product support skills to join our CX team. This is a generalist role first—you'll handle the full range of user inquiries across channels, from account questions and product troubleshooting to bug reports and feature guidance. Where you'll go deeper is billing and product support, with a heavy emphasis on Enterprise: managing subscription and billing issues for both consumer and enterprise customers, troubleshooting complex Enterprise Pro configurations, and serving as a trusted point of contact for enterprise users navigating the platform.
You'll work directly with Enterprise customers via tickets, Slack, and emails, diagnosing their most complex issues and acting as the last line of defense before Product and Engineering step in. You'll build relationships with enterprise stakeholders, capture structured feedback, and champion their needs in product discussions.
You're a strong, independent operator who doesn't need to be told what to do next. Here's what that looks like in this role:
You see the gap—whether it's a missing Help Center article, a broken billing workflow, or a pattern in enterprise tickets—and you move to fix it
You're self-motivated and take initiative, but you also know when to ask questions and communicate effectively with the team
You keep people informed, surface blockers early, and make sure nothing falls through the cracks
You thrive when given ownership and trust—we won't hold your hand, and you wouldn't want us to
Our CX operations are still maturing—while we have some foundational processes in place, there's a lot left to build. You'll need an entrepreneurial mindset and be comfortable with ambiguity as you help shape how we support our users at scale.
Provide fast, accurate, and empathetic support across all active channels (email, chat, Slack, community)
Handle a broad range of user inquiries: account issues, product questions, feature guidance, bug reports, and general troubleshooting for both consumer and enterprise users
Triage and prioritize incoming volume effectively, ensuring response and resolution times stay on target
Develop deep product knowledge to assist users confidently across all areas of the platform, including Enterprise Pro features and configurations
Serve as a primary support contact for Perplexity Enterprise customers, working with them via tickets, Slack, and calls to resolve complex technical and product questions
Build durable relationships with enterprise users and stakeholders, advising on best practices and helping them maximize value from the platform
Own end-to-end troubleshooting for enterprise issues: reproduce problems, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations
Capture structured feedback from enterprise customers and champion their needs in roadmap discussions with Product
Support enterprise onboarding, configuration questions, and adoption—guiding teams through SSO setup, workspace management, and platform best practices
Escalate complex enterprise issues appropriately while maintaining ownership of resolution and follow-through
Own billing-related inquiries for both consumer and enterprise customers: subscription management, payment failures, refunds, cancellations, plan changes, and account modifications
Investigate and resolve billing discrepancies using Stripe and internal tools, including enterprise invoicing and multi-seat licensing scenarios
Manage chargeback cases—investigation, documentation, and representment
Handle multi-currency and international billing scenarios as needed
Align with your Consumer billing counterpart on escalation paths, refund policies, and documentation standards to deliver a consistent experience across consumer and enterprise—and surface cross-cutting trends so insights from one side drive improvements on the other
Troubleshoot product and feature issues, reproduce bugs, and guide users through workarounds
Spot patterns across tickets—recurring bugs, confusing UX, billing errors, enterprise-specific pain points—and flag them to Product and Engineering with clear, actionable context
File bugs and tasks in Linear with enough detail for engineering to act on them
Contribute feedback from support interactions to inform product roadmap prioritization
Write and maintain Help Center articles, FAQs, and guides covering billing, product features, account management, enterprise onboarding, and common troubleshooting
Design and maintain use-case flows, playbooks, and internal runbooks that help teammates and customers solve recurring challenges faster
Build internal documentation—SOPs, decision trees, macros, escalation playbooks—to keep the team consistent as we scale
Proactively update documentation as new features, billing models, and enterprise configurations launch
Identify workflow inefficiencies and propose improvements—better macros, smarter routing, automation opportunities, self-service solutions
Share knowledge with teammates and contribute to raising the team's capabilities across billing, product, and enterprise support
Collaborate cross-functionally with Engineering, Product, Finance, and Enterprise GTM to resolve complex issues and improve the user experience
Track and report on support KPIs (response time, CSAT, resolution rates) and propose data-driven process improvements
Help build and refine support processes as the team and product grow
3+ years in customer support, user operations, or a similar generalist support role—ideally in tech or SaaS
Meaningful experience handling billing and payment support (subscription management, refunds, disputes)
Experience supporting enterprise or B2B customers, including working directly with business stakeholders on complex, multi-touch issues
Working knowledge of Stripe or a comparable payment platform
Experience supporting users across multiple channels simultaneously in a fast-paced, high-volume environment
Strong written communication—clear, concise, and adaptable to the audience (end users, enterprise stakeholders, engineers, leadership)
Self-motivated and independent: you manage your own priorities, take initiative, and deliver without waiting for direction—but you proactively ask questions for clarity and process alignment
Effective internal communicator: you keep the team informed, surface context and blockers early, and make sure nothing slips
Experience creating user-facing and internal documentation (Help Center content, SOPs, templates, guides)
Comfortable spotting trends and patterns in ticket data and translating them into actionable feedback or process improvements
Adaptable to a startup environment: comfortable with ambiguity, shifting priorities, and rapid change
Experience with Intercom, Linear, Notion, and Google Sheets
Familiarity with AI/ML products, LLMs, or search technologies
Ability to translate complex technical concepts—APIs, SSO/SAML, cloud integrations—into clear, actionable guidance for non-technical stakeholders
Knowledge of enterprise identity (SSO/OAuth) and cloud-storage ecosystems (Google Drive, SharePoint, Dropbox)
Experience at an early-stage or high-growth startup
Background in chargeback management or dispute resolution
Proficiency with data analysis tools (SQL, Looker, Snowflake) is a plus
Interest in support automation, workflow optimization, or tooling improvements
Who You Are
A generalist at heart who can flex across product, billing, enterprise, and technical support without missing a beat
Strong and self-motivated—you take ownership, drive things forward, and don't wait to be told what to do
Proactive—you see something that needs doing and you do it, whether it's a missing Help Center article, a broken workflow, or an enterprise customer who needs follow-up
A clear, effective communicator internally—you keep the team in the loop, share context generously, flag issues early, and ask smart questions when something is unclear
Independent but not siloed—you don't need hand-holding, but you understand that asking questions and aligning on process makes the whole team stronger
Comfortable building relationships with enterprise customers and acting as their advocate internally
Curious and product-minded—you care about the user experience beyond the individual ticket
Detail-oriented and efficient—you balance quality with speed in everything you do
High ownership and a \"do-what-it-takes\" mindset in ambiguous situations
The User Operations team at Perplexity AI is the frontline of our user experience. We ensure that our AI-powered search and answer engine delivers real value to every user—from individual consumers to teams and organizations. Our team operates across 3-4 active support channels—email, in-app messaging, Slack, and community—and collaborates closely with Product, Engineering, Billing, and Growth to turn user feedback into product improvements. We’re a lean, fast-moving group at a startup that ships constantly, so everyone on the team wears multiple hats and contributes well beyond just resolving tickets.
Perplexity launches new features and products at a rapid pace—and this role sits at the center of that. We need a User Operations Generalist who combines excellent customer support instincts with real technical depth. You’ll handle high volumes of user inquiries across channels while also digging into product issues, using customer feedback to uncover problems, and providing solutions that improve the experience for everyone.
This isn’t just ticket work. As new features and products ship, you’re the person who hears about it first from users—what’s working, what’s confusing, and what’s broken. You’ll use those interactions to surface insights that shape how launches land, identify issues before they scale, and provide clear solutions back to users. You’ll also build automations and improve workflows that make the team faster and smarter, so we can keep up with the pace of the product without sacrificing quality.
You should be comfortable operating across multiple support channels and have experience standing up or optimizing multi-channel support operations—not just working in them, but thinking critically about how they’re structured, routed, and scaled.
This role requires someone who can navigate ambiguity and fill in the gaps where processes don’t yet exist. You won’t always have a playbook—and that’s the point. We need someone who can define the path forward, not just follow one.
You’re a strong, independent operator who doesn’t need to be told what to do next:
You see the gap—whether it’s a missing Help Center article, a broken workflow, or a pattern in user tickets—and you move to fix it
You’re self-motivated and take initiative, but you also know when to ask questions
You communicate effectively with the team—keeping people informed, surfacing blockers early, and making sure nothing falls through the cracks
We won’t hold your hand through this role, and we wouldn’t want to—because you’re the kind of person who thrives when given ownership and trust
Handle a high volume of user inquiries across channels (email, chat, Slack, community) with speed, accuracy, and empathy for both consumer and business users.
Deliver excellent customer support—clear, thoughtful, and human—even under pressure and at scale
Triage and prioritize effectively to keep response and resolution times on target
Use customer feedback and support interactions as a primary source for uncovering product issues, UX confusion, and feature gaps—especially as new products and features launch
Investigate and troubleshoot product issues: reproduce problems, isolate root causes, provide users with solutions or workarounds, and document findings for Engineering
Guide users through technical troubleshooting: AI search, LLM behavior, account configuration
File well-documented bugs in Linear with enough context for Engineering to act immediately
Leverage AI tooling and automation (Intercom, scripts) to streamline operations, reduce repetitive work, and scale support quality
Write and maintain Help Center articles, internal SOPs, escalation playbooks, and troubleshooting guides
Communicate cross-functionally—surface user insights to Product and Engineering, escalate issues, close the loop, and keep teammates informed
Track support KPIs and propose data-driven process improvements
3+ years in customer support, user operations, or technical support—ideally at a SaaS or tech company
Proven ability to manage high ticket volumes while maintaining quality and empathy
Excellent customer-facing communication: clear, professional, and adaptable to different audiences
Technical aptitude: comfortable working through product issues, navigating technical questions independently, and learning new tools and systems quickly
Hands-on experience with AI tools and automation platforms (Intercom workflows, scripting) to improve operations
Familiarity with AI, LLMs, or search technologies
Strong internal communication—keeps their immediate team informed, writes crisp updates for immediate team and cross-functional partners (Product, Engineering, etc.), and ensures stakeholders stay in the loop on issues and progress
Self-motivated and proactive: manages own priorities, takes initiative, delivers without waiting for direction
Experience creating user-facing documentation (e.g., Help Center articles, FAQs, guides) as well as internal SOPs, templates, and playbooks
Experience with multi-channel support operations—not just working across channels, but helping stand up, optimize, or scale how support is structured and routed
Comfortable in a fast-paced, high-volume startup environment with shifting priorities
Experience with support and operations tooling such as Intercom, Parahelp, Linear, Notion, or Stripe.
Familiarity with prompting techniques and LLM optimization
Basic web tech understanding (HTTP, REST APIs, JavaScript, HTML)
Data analysis tools (SQL, Looker, Snowflake)
Scripting or lightweight automation background (Google Apps Script, Python)
Experience at an early-stage or high-growth startup
You’re the kind of person who:
Sees a gap and fills it before anyone asks
Thrives in high-volume environments and keeps quality high even when things move fast
Thinks creatively—you don’t just follow the playbook, you look for better ways to solve problems and aren’t afraid to try something new
Treats every user interaction as a chance to learn something about the product
Gets energized by building automations that save the team hours
Communicates with clarity—whether writing a Help Center article, filing a bug, or updating the team in Slack
Takes full ownership end-to-end: you don’t just escalate, you follow through
Impact at Scale – Your work directly influences millions of users and shapes the future of AI-powered search.
Velocity & Ownership – Ship improvements quickly in a culture that values curiosity, speed, and quality.
Cutting-Edge Tech – Operate at the forefront of applied LLMs and help define how AI transforms customer support.
","descriptionPlain":"ABOUT THE TEAM\n\nThe User Operations team at Perplexity AI is the frontline of our user experience. We ensure that our AI-powered search and answer engine delivers real value to every user—from individual consumers to teams and organizations. Our team operates across 3-4 active support channels—email, in-app messaging, Slack, and community—and collaborates closely with Product, Engineering, Billing, and Growth to turn user feedback into product improvements. We’re a lean, fast-moving group at a startup that ships constantly, so everyone on the team wears multiple hats and contributes well beyond just resolving tickets.\n\n\nABOUT THE ROLE\n\nPerplexity launches new features and products at a rapid pace—and this role sits at the center of that. We need a User Operations Generalist who combines excellent customer support instincts with real technical depth. You’ll handle high volumes of user inquiries across channels while also digging into product issues, using customer feedback to uncover problems, and providing solutions that improve the experience for everyone.\n\nThis isn’t just ticket work. As new features and products ship, you’re the person who hears about it first from users—what’s working, what’s confusing, and what’s broken. You’ll use those interactions to surface insights that shape how launches land, identify issues before they scale, and provide clear solutions back to users. You’ll also build automations and improve workflows that make the team faster and smarter, so we can keep up with the pace of the product without sacrificing quality.\n\nYou should be comfortable operating across multiple support channels and have experience standing up or optimizing multi-channel support operations—not just working in them, but thinking critically about how they’re structured, routed, and scaled.\n\nThis role requires someone who can navigate ambiguity and fill in the gaps where processes don’t yet exist. You won’t always have a playbook—and that’s the point. We need someone who can define the path forward, not just follow one.\n\nYou’re a strong, independent operator who doesn’t need to be told what to do next:\n\n - You see the gap—whether it’s a missing Help Center article, a broken workflow, or a pattern in user tickets—and you move to fix it\n\n - You’re self-motivated and take initiative, but you also know when to ask questions\n\n - You communicate effectively with the team—keeping people informed, surfacing blockers early, and making sure nothing falls through the cracks\n\n - We won’t hold your hand through this role, and we wouldn’t want to—because you’re the kind of person who thrives when given ownership and trust\n\n\nRESPONSIBILITIES\n\n - Handle a high volume of user inquiries across channels (email, chat, Slack, community) with speed, accuracy, and empathy for both consumer and business users.\n\n - Deliver excellent customer support—clear, thoughtful, and human—even under pressure and at scale\n\n - Triage and prioritize effectively to keep response and resolution times on target\n\n - Use customer feedback and support interactions as a primary source for uncovering product issues, UX confusion, and feature gaps—especially as new products and features launch\n\n - Investigate and troubleshoot product issues: reproduce problems, isolate root causes, provide users with solutions or workarounds, and document findings for Engineering\n\n - Guide users through technical troubleshooting: AI search, LLM behavior, account configuration\n\n - File well-documented bugs in Linear with enough context for Engineering to act immediately\n\n - Leverage AI tooling and automation (Intercom, scripts) to streamline operations, reduce repetitive work, and scale support quality\n\n - Write and maintain Help Center articles, internal SOPs, escalation playbooks, and troubleshooting guides\n\n - Communicate cross-functionally—surface user insights to Product and Engineering, escalate issues, close the loop, and keep teammates informed\n\n - Track support KPIs and propose data-driven process improvements\n\n\nREQUIREMENTS\n\n - 3+ years in customer support, user operations, or technical support—ideally at a SaaS or tech company\n\n - Proven ability to manage high ticket volumes while maintaining quality and empathy\n\n - Excellent customer-facing communication: clear, professional, and adaptable to different audiences\n\n - Technical aptitude: comfortable working through product issues, navigating technical questions independently, and learning new tools and systems quickly\n\n - Hands-on experience with AI tools and automation platforms (Intercom workflows, scripting) to improve operations\n\n - Familiarity with AI, LLMs, or search technologies\n\n - Strong internal communication—keeps their immediate team informed, writes crisp updates for immediate team and cross-functional partners (Product, Engineering, etc.), and ensures stakeholders stay in the loop on issues and progress\n\n - Self-motivated and proactive: manages own priorities, takes initiative, delivers without waiting for direction\n\n - Experience creating user-facing documentation (e.g., Help Center articles, FAQs, guides) as well as internal SOPs, templates, and playbooks\n\n - Experience with multi-channel support operations—not just working across channels, but helping stand up, optimize, or scale how support is structured and routed\n\n - Comfortable in a fast-paced, high-volume startup environment with shifting priorities\n\n\nNICE TO HAVE\n\n - Experience with support and operations tooling such as Intercom, Parahelp, Linear, Notion, or Stripe.\n\n - Familiarity with prompting techniques and LLM optimization\n\n - Basic web tech understanding (HTTP, REST APIs, JavaScript, HTML)\n\n - Data analysis tools (SQL, Looker, Snowflake)\n\n - Scripting or lightweight automation background (Google Apps Script, Python)\n\n - Experience at an early-stage or high-growth startup\n\n\nWHO YOU ARE\n\nYou’re the kind of person who:\n\n - Sees a gap and fills it before anyone asks\n\n - Thrives in high-volume environments and keeps quality high even when things move fast\n\n - Thinks creatively—you don’t just follow the playbook, you look for better ways to solve problems and aren’t afraid to try something new\n\n - Treats every user interaction as a chance to learn something about the product\n\n - Gets energized by building automations that save the team hours\n\n - Communicates with clarity—whether writing a Help Center article, filing a bug, or updating the team in Slack\n\n - Takes full ownership end-to-end: you don’t just escalate, you follow through\n\n\nWHY PERPLEXITY?\n\nImpact at Scale – Your work directly influences millions of users and shapes the future of AI-powered search.\n\nVelocity & Ownership – Ship improvements quickly in a culture that values curiosity, speed, and quality.\n\nCutting-Edge Tech – Operate at the forefront of applied LLMs and help define how AI transforms customer support."},{"id":"e48aaf8c-24cd-4733-aa5b-752773467bfa","title":"Member of Technical Staff (Secure Intelligence Institute)","department":"AI","team":"AI","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-03-21T01:44:44.086+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/e48aaf8c-24cd-4733-aa5b-752773467bfa","applyUrl":"https://jobs.ashbyhq.com/perplexity/e48aaf8c-24cd-4733-aa5b-752773467bfa/application","descriptionHtml":"Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem.
As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users.
Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents.
Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products.
Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products.
Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms.
Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures.
Collaborate with top-tier academic and industry researchers in SII's external research network.
Publish findings at premier venues and contribute to the broader security research community.
Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy.
Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions.
Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security.
Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product.
Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.
We are looking for an exceptional Director of Workplace Operations to own and elevate the experience of our global offices. This is a high-impact role for someone who combines strategic vision with operational excellence and genuinely cares about how people experience work every day. Our Workplace team sets the tone for how employees and visitors feel the moment they walk through our doors. We hold ourselves to an exceptionally high standard — designing environments that feel human, energizing, and welcoming, and programming spaces that foster connection, productivity, and a sense of belonging. In this role, you will shape and execute our global workplace strategy, oversee facilities and vendor relationships, and collaborate closely with teams across People, IT, Security, and Finance. You will also partner with leadership to ensure our physical environments reflect and support Perplexity's culture and talent strategy — helping us attract and retain the best people in the world.
This role is fully onsite and requires someone who is entrepreneurial, highly organized, hospitality-minded, and energized by building something exceptional from the ground up.
Lead and support the development and execution of the workplace strategy and vision, aligned with company values and objectives
Define and drive long-term goals for workplace experience, ensuring alignment with organizational priorities
Partner with Event Managers to curate in-office experiences that encourage gathering and collaboration, in lieu of an in-office mandate, while creating an equally welcoming experience for non-local employees and visitors
Promote a culture of inclusion, collaboration, and productivity across all office environments
Develop, maintain, and oversee detailed budget proposals for workplace initiatives, ensuring alignment with organizational goals
Manage and oversee budget ownership and ensure accurate allocation of spending, including identifying cost-savings opportunities across facilities and services
Review, approve, and manage invoices to support compliance and transparency in workplace expenditures
Build and nurture strong relationships with internal partners and stakeholders to ensure alignment on workplace initiatives
Partner on quality, service, and maintenance standards across all office facilities
Lead and implement standardized workplace programs, policies, and practices in collaboration with local office leads
Manage key workplace services including food and snack provisioning, site safety, emergency response planning, cleaning services, and front desk and guest services
Ensure proactive planning and preventive maintenance across all physical spaces
Partner with internal teams to support workplace health and safety programs
Oversee emergency preparedness protocols, ensuring all employees are trained and equipped to respond effectively
Must be located within commutable distance to our San Francisco office; this is a fully onsite role, with weekly travel to our Palo Alto office as needed
Bachelor's degree in Business Administration, Facilities Management, Operations Management, or a related field preferred
8-10+ years of experience in leading workplace operations, facilities management, and hospitality with 3+ years in a leadership role
Strong understanding of office space management, food services, maintenance, and employee experience best practices
Experience working in high-growth, fast-paced environments
Exceptional project management skills with a proven track record of delivering initiatives on time and within budget
Knowledge of workplace safety, compliance protocols, and emergency preparedness
Experience managing and scaling workplace operations across multiple locations preferred
Demonstrated ability to lead innovative, cost-effective workplace enhancements while delivering exceptional employee experiences
Strong vendor management expertise and stakeholder communication skills
Ability to proactively align workplace services with evolving company needs and priorities
Proven ability to influence key stakeholders and drive strategic, company-wide initiatives effectively
Perplexity is seeking a highly skilled and experienced IT Systems Administrator to join our dynamic team, revolutionizing the way people search and interact with the internet. As an early hire in this crucial role, you will have an exciting opportunity to shape the future of our technology infrastructure from the ground up.
This role is based in-person at our San Francisco office.
Procure, maintain, and administer computers, networking equipment, and office technology
Manage and optimize corporate software systems
Oversee and enhance the Mobile Device Management (MDM) infrastructure
Deploy and enforce robust security policies and procedures
Provision and manage user accounts and permissions
Provide prompt, effective technical support and troubleshoot complex issues
Lead IT projects focused on endpoint management, security enhancements, and infrastructure improvements
Deliver technical support and training on IT systems to staff (in-person and remotely)
4+ years of hands-on IT systems administration experience
Strong proficiency in macOS & GSuite environments
Strong troubleshooting skills (MDM, Okta, Networking)
Extensive experience with Okta and automation (Okta Workflows, bash/python is a bonus)
Comprehensive understanding of cybersecurity principles and practices, including firewalls, encryption, and antivirus solutions
Proven track record in managing IT projects, including system upgrades and new implementations
Excellent communication and interpersonal skills
Experience with AWS, Tailscale
Experience with international IT regulations and compliance
Perplexity is seeking an intrepid, polymathic Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across AI policy, law, operations, and corporate affairs.
Reporting to Perplexity's VP Global Affairs & Deputy CTO, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society.
Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day.
Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might:
Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity.
Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys.
Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court.
Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet and Computer).
Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape.
Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management.
Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy.
The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike.
No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here:
Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines.
We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later).
Experienced engineers at top tech companies who wish to develop policy, business, and operations chops.
Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI.
This is a non-exhaustive list; other profiles may also be great fits.
No matter which profile describes you, we'll also be looking for:
Evidence of exceptional ability and 99th-percentile work ethic.
Strong technical skills at or above Perplexity's hiring bar for software engineers.
Fluency with frontier intelligence tools (such as Perplexity Computer).
High intrinsically-enforced standards for the craft and quality of your work.
Strong communication and writing skills, ideally demonstrated via samples of past written work product.
Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months.
Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts.
Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters.
A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.
Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation.
Responsibilities
Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces
Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services
Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries
Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing
Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team
Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures
Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations
Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment
Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy
Qualifications
5+ years of hands-on experience in offensive security, red teaming, or penetration testing
Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security
Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments
Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits
Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them
Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives
Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities
Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions
Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
Responsibilities
Relentlessly push search quality forward — through models, data, tools, or any other leverage available
Architect and build core components of the search platform and model stack
Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models
Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval
Deploy models — from boosting algorithms to LLMs — in a scalable and performant way
Build and optimize RAG pipelines for grounding and answer generation
Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery
Qualifications
Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
Proven track record with large-scale search or recommender systems
Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models
Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications
Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR)
Self-driven, with a strong sense of ownership and execution
Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters.
Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
Manage and optimize Slurm-based HPC environments for distributed training of large language models
Develop robust APIs and orchestration systems for both training pipelines and inference services
Implement resource scheduling and job management systems across heterogeneous compute environments
Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
Experience with deploying and managing distributed training systems at scale
Deep understanding of container orchestration and distributed systems architecture
High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
Experience managing GPU clusters and optimizing compute resource utilization
Expert-level Kubernetes administration and YAML configuration management
Proficiency with Slurm job scheduling, resource management, and cluster configuration
Python and C++ programming with focus on systems and infrastructure automation
Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
Strong understanding of networking, storage, and compute resource management for ML workloads
Experience developing APIs and managing distributed systems for both batch and real-time workloads
Solid debugging and monitoring skills with expertise in observability tools for containerized environments
Experience with Kubernetes operators and custom controllers for ML workloads
Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
Familiarity with GPU cluster management and CUDA optimization
Experience with other ML frameworks like TensorFlow or distributed training libraries
Background in HPC environments, parallel computing, and high-performance networking
Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
Experience with container registries, image optimization, and multi-stage builds for ML workloads
Demonstrated experience managing large-scale Kubernetes deployments in production environments
Proven track record with Slurm cluster administration and HPC workload management
Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
Experience supporting both long-running training jobs and high-availability inference services
Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Great products grow through strong communities. We’re looking for a Community & Field Marketer to design and scale programs that turn our most engaged users into enterprise pipeline. You’ll lead Perplexity’s Business Fellowship, our AI community program, and manage a full range of community and field events that drive awareness, usage, and advocacy for Perplexity at work.
You will:
Turn power users into pipeline: own Fellowship end-to-end, from recruitment, programming, through conversion into enterprise deals
Run executive dinners, vertical roundtables, regional roadshows, and customer hackathons that build pipeline and deepen relationships with senior buyers
Build a structured advocacy program that operates like an influencer pipeline: identifying, briefing, and activating power users to create content that drives awareness
Instrument conversion paths from community engagement to enterprise pipeline, tracking ARR influence, deal acceleration, and participant NPS
Represent Perplexity at industry conferences, driving booth engagement and post-event conversion
Qualifications:
4+ years in community marketing, field marketing, event marketing, or demand generation, ideally in B2B SaaS or enterprise technology
Proven track record building and scaling community or fellowship-style programs that drove measurable business outcomes
Strong event planning and execution skills—comfortable managing logistics for intimate exec dinners and larger hackathon-style events
Excellent relationship builder—able to engage senior executives, power users, and cross-functional internal teams with equal ease
Strong written and verbal communication skills—able to craft compelling event narratives, community content, and advocacy frameworks
Willingness to travel frequently for on-site event management and field activations
Perplexity is changing how enterprises adopt AI. We're seeking a Solutions Product Marketer to own GTM strategy for our highest-priority verticals, Finance, Healthcare, Legal, and Consulting. You'll go deep on buying motions, use cases, and competitive dynamics, translating insight into campaigns, content, and sales enablement that systematically win each industry. This role sits at the intersection of marketing, sales strategy, and product.
You will:
Own vertical GTM as a system, not one-off campaigns
Map how enterprise buyers in each vertical evaluate, purchase, and deploy AI, personas, decision processes, and competitive alternatives
Build and run vertical awareness campaigns across paid, organic, and owned channels, including webinars, landing pages, and industry-specific creative
Arm enterprise sales with battle cards, objection handling, persona-specific talk tracks, and deal-stage content that moves revenue
Develop opinionated thought leadership positioning Perplexity as the authority on AI adoption in each vertical
Instrument and measure vertical performance: pipeline sourced, conversion rates, engagement iterating weekly based on data
Qualifications:
5+ years of product marketing experience, B2B preferred
Proven track record building and executing vertical or industry-specific GTM strategies that drove measurable pipeline
Deep understanding of enterprise buying motions, comfortable with long sales cycles, multi-stakeholder deals, and C-suite messaging
Exceptional storytelling and writing skills, able to distill complex capabilities into simple, compelling narratives across decks, one-pagers, videos, and ROI models
Advanced proficiency using AI tools to drive marketing outcomes
Collaborative, low-ego operator who thrives in fast-paced, small-team environments and owns the full stack of work
Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information.
Internship program: 12 - 24 weeks, full-time, in-person in the London office.
Responsibilities:
Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.
Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.
Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks.
Support deployment and monitoring of search and ranking models in a scalable and performant way.
Help build and iterate on RAG pipelines for grounding and answer generation.
Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.
Qualifications:
Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.
Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.
Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.
Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment
Experience with Rust will be a plus
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.
Anticipate opportunities for innovation and value in enterprise industries.
Envision new experiences and deliver a long-term vision.
Understanding of levers for product-led growth and retention.
Work closely with engineering and design to align product expectations and capabilities.
Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.
Work with data and user research to understand quantitative and qualitative data.
Have conviction to make difficult product decisions in the face of uncertainty.
Strong experience with product management and leadership.
Strong experience working with data and metrics.
Experience with productivity and knowledge work products.
Experience with prototyping and data visualization.
Experience with building data driven flywheels for iterative improvement.
Thrives in a small, agile team: has initiative and desire for ownership.
4+ years of product management experience.
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
","descriptionPlain":"PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY.\n\nIn 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.\n\nProduct managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.\n\n\nWHAT YOU'LL DO\n\n - Anticipate opportunities for innovation and value in enterprise industries.\n\n - Envision new experiences and deliver a long-term vision.\n\n - Understanding of levers for product-led growth and retention.\n\n - Work closely with engineering and design to align product expectations and capabilities.\n\n - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.\n\n - Work with data and user research to understand quantitative and qualitative data.\n\n - Have conviction to make difficult product decisions in the face of uncertainty.\n\n\nQUALIFICATIONS\n\n - Strong experience with product management and leadership.\n\n - Strong experience working with data and metrics.\n\n - Experience with productivity and knowledge work products.\n\n - Experience with prototyping and data visualization.\n\n - Experience with building data driven flywheels for iterative improvement.\n\n - Thrives in a small, agile team: has initiative and desire for ownership.\n\n - 4+ years of product management experience.\n\n\nOUR MISSION\n\nPerplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.\n\nLearn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.\n\nBuild: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.\n\nIntegrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.\n\nRepeat. For curious people this is a cycle that never ends."},{"id":"4c0ac8bb-55bf-4fb0-b7d7-36d69f55e6c8","title":"Member of Technical Staff (Software Engineer, Computer)","department":"Product Engineering","team":"Product Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Palo Alto","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Palo Alto"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-04-22T23:15:33.628+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/4c0ac8bb-55bf-4fb0-b7d7-36d69f55e6c8","applyUrl":"https://jobs.ashbyhq.com/perplexity/4c0ac8bb-55bf-4fb0-b7d7-36d69f55e6c8/application","descriptionHtml":"By applying to this role, you will be considered for engineering roles across all teams at Perplexity.
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology.
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Design, build, and own product and platform systems for Computer
Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch.
Hill climb on hard problems, continuously iterating to improve for ourselves and customers.
Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams.
Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth.
4+ years of professional software engineering experience.
Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Swift, Rust, Java, or C++.
Experience building and operating production systems at a meaningful scale.
Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
Genuine interest and adoption of AI products and willingness to learn quickly.
Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Founded a company or initiative.
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
","descriptionPlain":"By applying to this role, you will be considered for engineering roles across all teams at Perplexity.\n\n\nWE ARE HIRING BUILDERS TO JOIN OUR HIGHLY LEVERAGED ENGINEERING TEAM FOR CREATING NEW PRODUCTS THAT INNOVATE AND ACCELERATE HUMAN PRODUCTIVITY\n\nIn 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.\n\nAs an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology.\n\n\nWHY PERPLEXITY IS DIFFERENT\n\n - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.\n\n - Ownership. You identify the problem, design the solution and ship it.\n\n - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.\n\n - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.\n\n - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.\n\n\nWHAT YOU'LL DO\n\n - Design, build, and own product and platform systems for Computer\n\n - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch.\n\n - Hill climb on hard problems, continuously iterating to improve for ourselves and customers.\n\n - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams.\n\n - Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth.\n\n\nQUALIFICATIONS\n\n - 4+ years of professional software engineering experience.\n\n - Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Swift, Rust, Java, or C++.\n\n - Experience building and operating production systems at a meaningful scale.\n\n - Strong product judgment and the ability to translate user problems into simple, effective technical solutions.\n\n - Genuine interest and adoption of AI products and willingness to learn quickly.\n\n\nNICE TO HAVE\n\n - Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks.\n\n - Time spent at a fast-growing startup or on a high-ownership engineering team.\n\n - Founded a company or initiative.\n \n\n\nOUR MISSION\n\nPerplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.\n\nLearn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.\n\nBuild: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.\n\nIntegrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.\n\nRepeat. For curious people this is a cycle that never ends."}],"apiVersion":"1"}