Perplexity is revolutionizing how the world gets work done, and we do it alongside some of the most important companies in the world. We are seeking a PMM focused on Partnerships to formally build that function from the ground up. You will become the face that some of Perplexity's most important partners rely on, and the person who makes our joint moments land.
This is a 0>1 role with executive exposure from day one. It has two sides. You are the relationship owner who partners trust and internal teams turn to, and you are the program manager who keeps every joint launch, event, and campaign on the rails. You'll work directly with teams across comms, product marketing, sales, and product, owning how Perplexity and its partners show up to the world together.
If you learn fast, thrive in ambiguity, and build trust with the biggest companies in the world instinctively, this role is for you.
Own Perplexity's partner marketing function end to end, from joint strategy through campaign execution and reporting
Build annual joint marketing plans with our most important partners, with committed pipeline and revenue targets, and run the QBR cadence that keeps both sides accountable to them
Ensure Perplexity and our partners are both accountable. Execute, driving joint marketing ideas from concept to shipped and following through so commitments turn into real activity, not slideware
Own the joint value proposition and narrative, crafting the \"better together\" story so it is aligned across both companies, resonates with buyers, and is mutually beneficial
Execute full-funnel co-marketing with and through partners, including joint webinars, events, ABM, content syndication, email, and digital campaigns
Build partner enablement assets, including co-branded content, solution briefs, pitch decks, joint case studies, and campaign-in-a-box kits, so partner teams can sell and market with us at scale
Coordinate launch moments and joint announcements, amplifying Perplexity product launches and major industry moments through the ecosystem
Instrument measurement and attribution, tracking partner-sourced and partner-influenced pipeline in CRM, and reporting ecosystem impact to leadership.
Align the field, making sure Perplexity sales and Customer Success know about, trust, and activate partner programs so they stick
Act as connective tissue between Partnerships and BD, PMM, Demand Generation, Sales, and Comms, and serve as the primary marketing counterpart to our partners' marketing teams
Maintain strong relationships in partner organizations and Perplexity across diverse organizations
5+ years in B2B marketing, preferably in partner, alliance, or ecosystem marketing
Proven track record running joint go-to-market with technology and ISV partners, cloud providers, or system integrators, and shipping campaigns that generated real pipeline
A closer on accountability, with the operating discipline to build a plan, hold two organizations to it, and drive follow-through when commitments slip
Strong storyteller who can craft a joint narrative that is crisp, differentiated, and credible to buyers and executives on both sides
Full-funnel campaign operator fluent across webinars, events, ABM, content, and digital, comfortable executing hands-on rather than only directing
Analytically rigorous, with experience setting up attribution and reporting partner-sourced and influenced pipeline; comfortable in CRM and revenue operation tools
Excellent relationship builder who can be trusted while representing Perplexity's interests to partners
Autonomous self-starter who thrives in ambiguity, builds the playbook rather than waiting for one, and operates with urgency in a high-growth environment
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns.
As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend.
Tech Stack: Python | Go | Stripe | PostgreSQL | AWS | Docker
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 the billing platform and monetization systems that power Computer and every paid experience across Perplexity.
Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction.
Build and operate the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans.
Hill-climb on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do.
Partner closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally.
Build internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly.
4+ years of professional software engineering experience.
Direct experience building or scaling billing, payments, subscription, or monetization systems.
Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks.
Demonstrated experience and appetite for building in-house billing solutions that rival leading best-in-class buy options.
Strong backend engineering skills in Python with the ability to reason about complex distributed systems.
Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work.
Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions.
Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission.
Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders.
Genuine interest and adoption of AI products and willingness to learn quickly.
2+ years of hands-on experience with the Stripe APIs and SDKs.
Experience with usage-based or metered billing models, especially metering agent actions, tokens, or other non-traditional units.
Experience with Apple and Google Play in-app purchase billing.
Familiarity with growth experimentation and PLG/self-serve SaaS monetization.
Experience building platform constructs that support pricing experiments and A/B testing.
Full-stack experience (our frontend is Next.js/React/TypeScript).
Experience in a regulatory or compliance-heavy billing environment.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Perplexity is revolutionizing how companies get work done. We are seeking an Associate Product Marketing Manager to join our team and serve as the bridge between how our products actually work and how the world learns to use them. You will develop the deepest product understanding on the team and translate it into webinars and education materials that inspire adoption and drive growth.
If you have a passion for understanding how things work, thrive in taking something complex and making it simple, and want to build a world-class product education engine that turns new users into power users, this role is for you.
Know the product cold. Develop a deeper working knowledge of our products than anyone else in marketing, using every feature the day it ships, building the workflows yourself, and staying close to the teams that built them.
Turn complexity into clarity. Transform complex product capabilities into simple, specific, and accurate explanations, defining not just what we built, but how it works, when to use it, and why it matters.
Teach at scale. Own product webinars end to end, from content and live demos to delivery and follow-up, spanning onboarding series, feature deep-dives, and use-case walkthroughs.
Build the education engine. Create the product education materials our users learn from: how-to guides, demo flows, video walkthroughs, and use-case libraries that make customers materially better at their jobs.
Obsess over the user. Maintain a sharp, real-time view of what users misunderstand and where they get stuck, ensuring our education remains grounded in how people actually use the product rather than how we assume they do.
Measure outcomes, not just outputs. Tie webinars and education content to tangible activation, adoption, and retention, running lightweight experiments to iterate fast on format, content, and delivery.
2-3 years of experience in product marketing, customer education, business development, or a related role, ideally within a high-growth technology company, or work that proves the skill regardless of title.
Proven ability to synthesize complex technical concepts into simple, specific, and provable explanations that travel across new users, power users, and admins.
Genuine obsession with product: you explore every setting, test every new feature, and can explain what a product does better than the team that built it.
Sharp teaching and storytelling skills grounded in data, with the ability to summarize how a feature works in a single sentence and demonstrate it live.
High slope: you learn unfamiliar products and domains fast, and your rate of improvement is your standout trait.
Extreme comfort delivering clarity in high-velocity, ambiguous environments.
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. As we scale across Asia-Pacific, we are investing in a regional team that can deliver the same world-class experience our Enterprise Pro customers expect, in their language, in their time zone, and to their service standards.
The Perplexity APAC team is the frontline for delivering Perplexity AI's industry-leading search capabilities to enterprise clients and individual users across Asia-Pacific markets. The team partners closely with Product, Engineering, Localization, and Technical Success to resolve complex technical issues while adapting our global support and success frameworks to regional expectations.
This is a hybrid Customer Success and Enterprise Support role. You will own a book of Japan-headquartered Enterprise accounts end to end — onboarding, adoption, retention, and growth — while also serving as the senior technical escalation point for APAC support.
Responsibilities
Customer Success & Growth
Execute the Enterprise customer success strategy in APAC, serving as the primary point of contact for key APAC-based enterprise clients.
Drive initial enablement through high-quality onboarding and training, then define and run a targeted, goal-based engagement plan aligned with each customer's objectives.
Identify and support opportunities for expansion; partner with sales to translate customer insights into actionable growth strategies.
Manage retention by quantifying value delivered, monitoring health, and acting early on risk.
Generate customer insights by understanding the competitive landscape and the end-to-end customer journey — goals, behaviors, and pain points — across distinct APAC markets.
Build durable executive relationships and engage with stakeholders from individual contributors to C-level.
Engage cross-functionally with Product, Engineering, Localization, Sales, and Marketing to drive projects and influence decisions that enable delivery of your customer strategy.
Enterprise Support Execution
Work directly with enterprise customers via tickets, Slack, and calls to diagnose and resolve the most complex technical and product questions — the \"last line of defense\" before Product and Engineering step in.
Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations in Japanese and English.
Anticipate customer issues, orchestrate timely resolutions, and act as the regional escalation point for complex problems.
Leverage Perplexity's own AI tooling and workflow automations to scale world-class support, continuously replacing repetitive tasks with agentic, self-service solutions that still feel personalized.
Localize 15+ knowledge base articles at launch, maintaining terminology consistency with product UI localization.
Qualifications
Required
Fluency in English and Japanese is a must; technical writing proficiency in Japanese. Business or fluent-level Korean or Mandarin Chinese is preferred.
3+ years in B2B/SaaS customer support, ideally as a senior or escalation engineer providing timely, accurate support to end users.
3+ years in customer-facing roles (Customer Success, Account Management, or equivalent) with a proven ability to engage stakeholders at both project and senior management levels.
Proven track record of driving enterprise-level satisfaction, growth, and retention; creative problem-solving in a fast-paced environment.
Strong customer orientation with the ability to interact effectively with both software engineers and business decision-makers.
Hands-on experience prompting large language models and a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs).
Ability to translate complex technical concepts — APIs, SSO/SAML, cloud integrations — into clear, actionable guidance for non-technical stakeholders.
Proficiency with modern support platforms (Intercom, Zendesk, Jira) and CRM / customer success tools.
Excellent written and spoken communication; comfortable presenting to C-level executives.
A self-starter comfortable with ambiguity, juggling multiple initiatives, and operating independently as the in-region anchor for a US-headquartered 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 - 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).
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 an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users.
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)
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
","descriptionPlain":"ABOUT PERPLEXITY AI\n\nPerplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users.\n\n\n\n\nABOUT THE ROLE\n\nPerplexity 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.\n\nWe’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.\n\nThis role spans two closely connected areas:\n\n - API Platform: integrating search, retrieval, and AI capabilities into enterprise systems\n\n - Perplexity Computer: deploying agentic workflows that operate across tools, applications, and data\n\nPerplexity’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.\n\nThis 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.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - 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\n\n - Work directly with customer teams to embed AI into existing processes, owning deployments from initial architecture through production rollout and ongoing optimization\n\n - 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\n\n - 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\n\n - Debug and resolve issues across APIs, infrastructure, and external dependencies, ensuring reliability, performance, and scalability in production\n\n - Prototype new integration patterns and build reusable architectures that accelerate adoption across customers\n\n - Partner with Sales and Product to unlock new use cases, drive expansion, and translate deployment learnings into product and platform improvements\n\n\n\n\nQUALIFICATIONS\n\n - 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\n\n - Strong programming ability in Python (plus one of JavaScript/TypeScript, Java, etc.) with experience developing integrations, prototypes, and scalable applications\n\n - Deep experience with APIs and distributed systems, including authentication, latency optimization, and debugging across complex, multi-system environments\n\n - Production experience building LLM-powered systems, including prompt engineering, agent workflows, evaluation, and deploying AI systems at scale\n\n - Proven ability to design and implement automated, end-to-end workflows that integrate across enterprise systems and replace manual processes\n\n - High ownership and ability to operate in ambiguous environments, with strong system design, rapid prototyping skills, and end-to-end execution\n\n - Excellent communication and collaboration skills, with experience working cross-functionally and engaging both technical teams and executive stakeholders\n\n\n\n\nNICE-TO-HAVES\n\n - Experience with search systems, retrieval-augmented generation (RAG), or AI/ML APIs\n\n - Background in developer tools, platform engineering, or high-scale/low-latency system design\n\n - History of working at startups or small teams, owning customer projects end-to-end\n\n - Experience with enterprise IT systems or AI deployment patterns in regulated industries (finance, healthcare, life sciences)\n\n\n\nIf you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.","compensation":{"compensationTierSummary":"$205K – $335K • Offers Equity","scrapeableCompensationSalarySummary":"$205K - $335K","compensationTiers":[{"id":"01981193-a54e-4f04-b84f-8c9671239001","tierSummary":"$205K – $335K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"7b6cd3f9-cdac-4ee1-80b6-64c35dc1fbf0","summary":"$205K – $335K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":205000,"maxValue":335000},{"id":"11d282d5-1a4c-404d-92c0-59c604878dfe","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":205000,"maxValue":335000},{"compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"dd80ab52-34bd-42af-aa5e-6283b7e6c194","title":"Member of Technical Staff (Backend/Infrastructure Engineer, Search)","department":"Search","team":"Search","employmentType":"FullTime","location":"Belgrade","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"UK","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"Berlin","address":{"postalAddress":{"addressCountry":"Germany","addressLocality":"Berlin"}}}],"publishedAt":"2025-03-07T18:29:05.894+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressCountry":"Serbia","addressLocality":"Belgrade"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/dd80ab52-34bd-42af-aa5e-6283b7e6c194","applyUrl":"https://jobs.ashbyhq.com/perplexity/dd80ab52-34bd-42af-aa5e-6283b7e6c194/application","descriptionHtml":"Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling.
This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows
Responsibilities
Build and operate scalable, low-latency infrastructure for search serving and retrieval.
Design and improve distributed backend systems that handle high request volumes.
Debug and optimize Linux systems, containers, networking, and production services.
Improve reliability through observability, capacity planning, performance profiling, and incident response.
Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes.
Build internal tools and automation for development, testing, debugging, and infrastructure operations.
Improve CI/CD pipelines, release processes, and production rollout safety.
Contribute directly to product codebases across Rust, Go, and other systems languages.
Own systems end to end, from architecture and implementation to deployment and production operation.
Requirements
Strong experience with cloud infrastructure, distributed systems, and automation.
Deep understanding of Linux internals, performance analysis, and production debugging.
Experience building or operating latency-sensitive, high-throughput backend systems.
Experience with containers, orchestration, observability, and infrastructure as code.
Experience building or maintaining CI/CD systems and release tooling.
Fluency in at least one systems language, such as Rust, Go, C++, or Java.
Comfort working across infrastructure and application-level code.
Strong ownership and the ability to operate effectively in a fast-moving environment.
Nice To Have
Experience with search, retrieval, ranking, or other large-scale data-serving systems.
Experience operating Rust services in production.
Experience with AWS, Kubernetes, and modern observability systems.
Experience with profiling, capacity planning, and performance optimization.
Experience building AI-assisted developer or operational tooling.
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
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 AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - 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);
Contextual recommendations and Monetization applications
Build frontier agent capabilities on top of Perplexity Computer
Build auto research harness for 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 and build autonomous harness for agent squad to explore different problem spaces.
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 AI products for large-scale, user-facing or data-driven products.
Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments.
In-depth experience with the full AI lifecycle: data analysis, 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 context engineering or harness engineering.
Experience in mid-training or post-training frontier open source models
Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).
","descriptionPlain":"Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe.\n\n\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 - Contextual recommendations and Monetization applications\n \n - Build frontier agent capabilities on top of Perplexity Computer\n\n - Build auto research harness for 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 and build autonomous harness for agent squad to explore different problem spaces.\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\n\n\nPreferred Qualifications\n\n - 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products.\n\n - Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments.\n\n - In-depth experience with the full AI lifecycle: data analysis, 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\n\n\nBonus Points For\n\n - Experience with LLM context engineering or harness engineering.\n\n - Experience in mid-training or post-training frontier open source models\n\n - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).\n\n ","compensation":{"compensationTierSummary":"$220K – $405K • Offers Equity","scrapeableCompensationSalarySummary":"$220K - $405K","compensationTiers":[{"id":"cacc76b7-db0c-4cde-85ab-cd494b655c1a","tierSummary":"$220K – $405K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"2d4a4249-4e24-4309-a5d7-cfa1e7bba0c0","summary":"$220K – $405K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"id":"1da4a16c-0ad2-4c35-8531-6f79ecd65313","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"9a570310-305d-4f4e-9807-b8862b31194b","title":"Enterprise Customer Success Manager","department":"Customer Success & Support","team":"Customer Success & Support","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Austin","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2025-10-06T22:20:17.736+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/9a570310-305d-4f4e-9807-b8862b31194b","applyUrl":"https://jobs.ashbyhq.com/perplexity/9a570310-305d-4f4e-9807-b8862b31194b/application","descriptionHtml":"
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.
Compensation
This role has a set base salary plus a variable component. OTE is $170-220k
","descriptionPlain":"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.\n\nYou 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.\n\n\n\n\nRESPONSIBILITIES\n\n - Execute the Enterprise customer success strategy developed by leadership\n\n - Serve as a primary point of contact for key enterprise clients\n\n - Drive initial enablement through high quality onboarding and training\n\n - Identify and support opportunities for growth and client expansion\n\n - Manage retention, working with clients to quantify value delivered\n\n - Advocate for client needs, and collaborate with cross-functional teams to drive product development\n\n - Monitor and report on established key performance indicators, analyze data to identify trends\n\n\nREQUIREMENTS\n\n - 5+ years experience in Customer Success or Account Management roles at scaling tech companies, specifically working with enterprise clients\n\n - Proven track record of driving enterprise-level satisfaction, growth, and retention\n\n - Excellent communication and presentation skills, with the ability to engage C-level executives\n\n - A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives.\n\n - Ability to work under pressure, thriving in demanding environments\n\n - Ability to work independently and as part of a collaborative team\n\n - Proficiency in CRM systems and customer success tool\n\n\nWHY PERPLEXITY?\n\n - Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support\n\n - Velocity & Ownership – Excel in a culture that values curiosity, speed, and quality\n\n - Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.\n \n\nCompensation\n\nThis role has a set base salary plus a variable component. OTE is $170-220k","compensation":{"compensationTierSummary":"$170K – $220K • Offers Equity • Offers Commission","scrapeableCompensationSalarySummary":"$170K - $220K","compensationTiers":[{"id":"ef4bd60c-9de2-4361-b773-3468c6c3ab74","tierSummary":"$170K – $220K • Offers Equity • Offers Commission","title":null,"additionalInformation":null,"components":[{"id":"50841cd6-f711-4eec-a6f9-27d6022415e6","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"56a9f672-1caf-4d03-9d12-8c870e613911","summary":"$170K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":220000},{"id":"88dadcdf-0ccd-467e-ab00-b3cc455c5b89","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":220000},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"a19f1774-5944-4981-b446-e3e40d0dd281","title":"Member of Technical Staff (Rust Engineer, Search)","department":"Search","team":"Search","employmentType":"FullTime","location":"Belgrade","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"UK","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"Berlin","address":{"postalAddress":{"addressCountry":"Germany","addressLocality":"Berlin"}}}],"publishedAt":"2025-10-23T14:50:44.599+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressCountry":"Serbia","addressLocality":"Belgrade"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/a19f1774-5944-4981-b446-e3e40d0dd281","applyUrl":"https://jobs.ashbyhq.com/perplexity/a19f1774-5944-4981-b446-e3e40d0dd281/application","descriptionHtml":"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
Perplexity is seeking a highly experienced Governance, Risk & Compliance Analyst to join our world-class team. You will help shape our compliance and risk management program. If you are a self-motivated, organized professional with a passion for driving compliance and building customer trust, this is an exciting chance to join a fast-growing startup and help revolutionize the way people search and interact online.
Implement and lead frameworks such as SOC2, ISO 27001 and HIPAA. Ensuring compliance with certification requirements
Ensure and maintain compliance with GDPR, CCPA, CPRA and other privacy regulations
Design and build scalable audit management processes and documentation systems that will support future expansion to additional compliance frameworks
Build internal GRC platform and tooling
Conduct risk assessments and mitigate data security and compliance risks
Write, update and enact policies capturing security, privacy, and AI safety requirements
Follow and help shape the AI regulatory and standards landscape to keep the company at the forefront of industry developments and best practices
6+ years of experience leading engagements in audit and compliance
Experience translating complex compliance requirements into scalable automation using AI agents and custom built tooling
Worked in high tech companies in cloud-native environments
Able to translate complex compliance requirements into clear and actionable work-streams
Strong commitment to cross-functional collaboration with IT, Security, GTM, and Engineering
Self-motivated, detailed and organized, with a diligent approach to project completion
Excellent written, verbal, and interpersonal communication skills
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.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"a805e14b-061d-469c-9136-b9e6a1855902","title":"Member of Technical Staff (Product Data Scientist, Search Quality)","department":"Search","team":"Search","employmentType":"FullTime","location":"Belgrade","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"UK","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"Berlin","address":{"postalAddress":{"addressCountry":"Germany","addressLocality":"Berlin"}}}],"publishedAt":"2026-08-05T11:04:08.316+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 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 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
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 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.
8+ 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.
The Connector Platform team builds the data layer that lets Perplexity's agents reach into the world's software. This team owns the systems that turn hundreds of heterogeneous integrations (native, MCP, CLI, first-party, and third-party APIs) into one unified, reliable, well-typed surface that agents can call with confidence.
The connector platform is the core layer that forms the knowledge layer for Computer: it is how the agent discovers what tools exist, understands what each one means, decides which to call, and grounds its reasoning in real, permissioned, up-to-date enterprise data. We maintain a knowledge layer above connectors that pushes and pulls context into them, rather than letting each connector hoard org knowledge on its own, making Computer the source of truth for institutional knowledge. Models are commoditizing; grounded, actionable, permissioned access to a customer's real systems is not. When this layer is fast, accurate, and semantically rich, every agent built on top of it gets smarter; when it is weak, no amount of model quality compensates.
Own the design and implementation of the connector runtime, the system that registers, hosts, and executes built-in connectors, hosted MCP servers, and CLI-backed tools behind a single agent-facing interface.
Build and extend the semantic layer: tool and entity schemas, capability metadata, relationship modeling, and the mechanisms for capturing and applying organization- and account-specific corrections and knowledge.
Design the tool-discovery and tool-selection surfaces that agents use to find the right connector and call it correctly, optimizing for both model accuracy and context efficiency.
Make agent loops robust: structured results, partial-failure and retry semantics, idempotency, pagination, rate-limit handling, and observability into every tool call an agent makes.
Define authentication, authorization, and credential-isolation patterns for connectors (OAuth flows, BYOK, per-org credential boundaries), partnering with Security and Backend Platform on defense-in-depth.
Build the connector onboarding path (schemas, fixtures, and evaluation suites) so new connectors ship with measurable quality rather than hope, and drive the eval metrics that tell us a connector actually works inside agent loops.
Set the technical bar for connector reliability and operability: SLAs, observability, error-rate monitoring, and incident response for an always-on, high-fan-out integration surface.
Partner with product and AI teams to define clear connector interfaces and integration patterns so new agent capabilities can reliably build on the shared platform.
Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).
Strong system design skills, with a track record of building efficient, reliable, and scalable architectures, ideally including API integration, gateway, or platform-style systems with many heterogeneous downstreams.
Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.
Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).
Depth in at least one of: OAuth and authorization protocols, API/connector or MCP-server development, schema and semantic modeling, or building tooling and evaluation for LLM-based agents.
Comfort working in security-sensitive areas (auth, authorization, credential isolation) and making pragmatic trade-offs between safety, simplicity, and velocity.
Collaborative mindset and eagerness to solve hard, ambiguous problems alongside other experienced engineers.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Connector Platform team builds the data layer that lets Perplexity's agents reach into the world's software. This team owns the systems that turn hundreds of heterogeneous integrations (native, MCP, CLI, first-party, and third-party APIs) into one unified, reliable, well-typed surface that agents can call with confidence.\n\n\n\nThe connector platform is the core layer that forms the knowledge layer for Computer: it is how the agent discovers what tools exist, understands what each one means, decides which to call, and grounds its reasoning in real, permissioned, up-to-date enterprise data. We maintain a knowledge layer above connectors that pushes and pulls context into them, rather than letting each connector hoard org knowledge on its own, making Computer the source of truth for institutional knowledge. Models are commoditizing; grounded, actionable, permissioned access to a customer's real systems is not. When this layer is fast, accurate, and semantically rich, every agent built on top of it gets smarter; when it is weak, no amount of model quality compensates.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Own the design and implementation of the connector runtime, the system that registers, hosts, and executes built-in connectors, hosted MCP servers, and CLI-backed tools behind a single agent-facing interface.\n\n - Build and extend the semantic layer: tool and entity schemas, capability metadata, relationship modeling, and the mechanisms for capturing and applying organization- and account-specific corrections and knowledge.\n\n - Design the tool-discovery and tool-selection surfaces that agents use to find the right connector and call it correctly, optimizing for both model accuracy and context efficiency.\n\n - Make agent loops robust: structured results, partial-failure and retry semantics, idempotency, pagination, rate-limit handling, and observability into every tool call an agent makes.\n\n - Define authentication, authorization, and credential-isolation patterns for connectors (OAuth flows, BYOK, per-org credential boundaries), partnering with Security and Backend Platform on defense-in-depth.\n\n - Build the connector onboarding path (schemas, fixtures, and evaluation suites) so new connectors ship with measurable quality rather than hope, and drive the eval metrics that tell us a connector actually works inside agent loops.\n\n - Set the technical bar for connector reliability and operability: SLAs, observability, error-rate monitoring, and incident response for an always-on, high-fan-out integration surface.\n\n - Partner with product and AI teams to define clear connector interfaces and integration patterns so new agent capabilities can reliably build on the shared platform.\n\n\n\n\nQUALIFICATIONS\n\n - Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).\n\n - Strong system design skills, with a track record of building efficient, reliable, and scalable architectures, ideally including API integration, gateway, or platform-style systems with many heterogeneous downstreams.\n\n - Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.\n\n - Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).\n\n - Depth in at least one of: OAuth and authorization protocols, API/connector or MCP-server development, schema and semantic modeling, or building tooling and evaluation for LLM-based agents.\n\n - Comfort working in security-sensitive areas (auth, authorization, credential isolation) and making pragmatic trade-offs between safety, simplicity, and velocity.\n\n - Collaborative mindset and eagerness to solve hard, ambiguous problems alongside other experienced engineers.\n\n\n\nIf you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.","compensation":{"compensationTierSummary":"$220K – $405K • Offers Equity","scrapeableCompensationSalarySummary":"$220K - $405K","compensationTiers":[{"id":"247fc4af-e91f-4f1c-ba07-428bdff0acf2","tierSummary":"$220K – $405K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"3f939a6c-d453-4182-b12e-c7ef092cd9d6","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"8c098cde-ab77-45bb-9432-8ee75a7488ec","summary":"$220K – $405K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000}]}],"summaryComponents":[{"compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000}]}},{"id":"a5b97109-222d-49e1-b2ac-e101487a5ddd","title":"Business Development Representative","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Austin","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}}],"publishedAt":"2026-01-22T00:32:30.985+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/a5b97109-222d-49e1-b2ac-e101487a5ddd","applyUrl":"https://jobs.ashbyhq.com/perplexity/a5b97109-222d-49e1-b2ac-e101487a5ddd/application","descriptionHtml":"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 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 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 is AI for people who expect more. This role brings that standard to how we understand our users, shape our product, and decide what to build next.
We're looking for a data scientist who can turn product questions into clear decisions. You'll work across product, engineering, growth, design, and user research to understand user behavior, define metrics, design experiments, and identify the highest-leverage opportunities for the company.
The data team is AI-native by default. We use AI to accelerate analysis, write and review code, explore hypotheses, document data, generate first drafts, and automate recurring workflows. But the core of the role is still judgment: asking the right question, choosing the right metric, designing the right test, and knowing when the answer is strong enough to act on.
Develop product insights - analyze user behavior to inform product roadmap, accelerate adoption, and identify opportunities to improve the user experience.
Design and analyze experiments - form hypotheses, define success metrics, run A/B tests, interpret results, and turn findings into product recommendations.
Define the metrics that matter - build the metrics, guardrails, dashboards, and reporting workflows that help teams understand product and company health.
Partner across functions - work closely with engineering, product, growth, design, and user research to answer ambiguous questions and drive decisions.
Build reusable data assets - create tables, models, and documentation that make analysis faster, more consistent, and easier for humans and AI systems to use.
Use AI to scale data science - automate recurring analysis, build AI-assisted workflows, improve documentation, and turn one-off investigations into repeatable systems.
Tell the story clearly - communicate findings, assumptions, uncertainty, and recommendations in a way that helps teams make decisions.
6+ years of experience as a data scientist or closely related role.
Strong product sense - you understand user behavior, product tradeoffs, and how to connect analysis to decisions.
SQL expertise - you can navigate a complex data warehouse on your own, reason about grain and joins, and debug data issues when something looks wrong.
Experimentation depth - you have significant experience designing, running, and analyzing A/B tests.
AI-native working style - you use LLMs and AI tools to move faster without outsourcing analytical judgment.
Metrics and dashboard experience - you've built useful reporting in tools such as Omni, Mode, Hex, Looker, or similar, and know how to turn metrics into better product decisions.
Comfort with ambiguity - you can take an open-ended question, structure it, execute the analysis, and make a clear recommendation.
End-to-end ownership - you take responsibility for the work from problem definition to stakeholder adoption.
Experience with dbt, data modeling, or analytics engineering.
Python experience for analysis, automation, or internal tools.
Experience with Snowflake, especially performance and cost-aware querying.
Experience combining qualitative user research with quantitative product analysis.
Experience as one of the first data scientists at an early or growth-stage company.
ML experience or experience working across multiple product surfaces.
Define data science at Perplexity - you'll help set the bar for how an AI-native data science team operates.
Work on questions with no playbook - AI-native products are too new for established benchmarks. What engagement, retention, and user success look like for AI products that answer questions and get real work done is still an open question, and you'll help define it.
Use AI where it actually matters - you'll use frontier tools to make analysis faster, more repeatable, and more useful.
Direct impact - small team, high ownership, and work that shapes product and company direction.
Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI.
We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company.
This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance.
Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable.
Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly.
Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly.
Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes.
Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse.
Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled.
Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting.
Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions.
Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems.
Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team.
6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role.
Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries.
Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve.
Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines.
Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership.
Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access.
AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation.
Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets.
Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight.
Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability.
Snowflake administration, optimization, cost management, or warehouse performance tuning.
Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews.
Experience with Databricks or other modern data infrastructure.
Experience building semantic layers, metrics layers, metadata systems, or data catalogs.
Python experience for data tooling, automation, orchestration, or quality checks.
Previous experience as an early analytics engineer or data engineer at a high-growth startup.
Own the foundation - your work will determine how fast and confidently the company can use data.
Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts.
High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data.
Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.
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.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"111dfa6f-e6f3-45b6-9de4-69e4a28e3f12","title":"Enterprise Customer Support Specialist","department":"Customer Success & Support","team":"Customer Success & Support","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"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.
We are looking for a Workplace Operations Specialist to lead day-to-day workplace operations for our San Francisco office and support our Palo Alto office through regular onsite presence. This role will help create a welcoming, productive, safe, and engaging office experience for employees, candidates, customers, and visitors.
You will partner closely with People, Finance, IT, Security, Legal, Events, Recruiting, and local office stakeholders to ensure our workplace programs and services support employee connection, operational excellence, and the company’s broader talent strategy.
Our Workplace team is responsible for creating office environments that feel human, energizing, inclusive, and thoughtfully designed. We set high standards for how people experience work every day and help ensure employees feel supported, connected, and motivated throughout their careers.
Perplexity is a San Francisco based AI “answer engine” founded in 2022 and was created to rethink how people search for and consume information. Our mission is to democratize access to knowledge by providing fast, accurate, and transparently cited answers in natural language rather than long lists of links. We are guided by a vision of making information retrieval more conversational, trustworthy, and accessible to everyone. Perplexity has expanded from a web product into browser extensions, mobile apps, and a Pro offering while positioning itself as an AI‑native alternative to traditional search.
Support the development and execution of workplace programs that align with company values, employee needs, and business priorities.
Partner with Events and People teams to create in-office experiences that encourage connection, collaboration, and productivity.
Help design a consistent and engaging office experience for local employees, visiting employees, candidates, customers, and guests.
Identify opportunities to improve workplace services, office usage, employee experience, and operational efficiency.
Promote a culture of inclusion, hospitality, collaboration, and productivity across assigned office locations.
Manage daily workplace operations for the San Francisco office and support the Palo Alto office through weekly visits and additional travel as needed.
Oversee core workplace services, including food and beverage, snacks, cleaning, maintenance, front desk, guest services, office supplies, and site readiness.
Partner with local office leads and vendors to maintain consistent quality, service, and maintenance standards across assigned offices.
Coordinate proactive maintenance, space planning, office repairs, and workplace improvement projects.
Help implement standardized workplace programs, policies, and practices in collaboration with internal partners and local office stakeholders.
Manage workplace budgets, invoice review, purchase approvals, and expense tracking in partnership with Finance.
Prepare and maintain proposals for workplace initiatives, including scope, budget, timeline, business rationale, and expected impact.
Evaluate vendor performance, negotiate service improvements, and identify cost-saving opportunities related to facilities, services, and workplace programs.
Ensure workplace expenses are accurately allocated and aligned with organizational goals.
Partner with internal teams to support workplace health, safety, and emergency preparedness programs.
Coordinate emergency response planning, drills, employee communications, and office-specific readiness materials.
Help ensure employees have access to relevant safety information, emergency procedures, and workplace resources.
Support compliance with applicable company policies and local workplace requirements.
Build and maintain strong relationships with internal partners across People, Finance, IT, Security, Legal, Events, Recruiting, and business teams.
Communicate workplace updates, operational changes, and office expectations clearly to employees and leaders.
Gather employee feedback and use it to improve workplace programs, services, and office experience.
Influence stakeholders and support the successful rollout of workplace initiatives across assigned locations.
7+ years of experience in workplace operations, facilities management, hospitality, office management, or a related operational role.
Experience managing workplace operations for multi-location or high-growth organizations.
Strong knowledge of office services, vendor management, facilities maintenance, food and beverage programs, employee experience, and workplace safety practices.
Demonstrated ability to manage budgets, review invoices, track expenses, and identify cost-saving opportunities.
Excellent project management skills, with experience delivering workplace initiatives on time and within budget.
Strong stakeholder management skills and the ability to influence cross-functional partners.
Ability to operate independently in a fast-paced, onsite environment with shifting priorities.
Experience leading workplace enhancements that improve employee experience while balancing cost, quality, and operational needs.
Bachelor’s degree in Business Administration, Facilities Management, Operations Management, or equivalent practical experience preferred.
Must be located within commutable distance of the San Francisco office and able to work onsite. Weekly travel to the Palo Alto office is required, with additional travel as needed.
This role requires regular onsite presence and may involve walking through office spaces, standing for extended periods, lifting or moving office supplies, and supporting event or facilities setup. Reasonable accommodations will be provided as required by law.
","descriptionPlain":"We are looking for a Workplace Operations Specialist to lead day-to-day workplace operations for our San Francisco office and support our Palo Alto office through regular onsite presence. This role will help create a welcoming, productive, safe, and engaging office experience for employees, candidates, customers, and visitors.\n\nYou will partner closely with People, Finance, IT, Security, Legal, Events, Recruiting, and local office stakeholders to ensure our workplace programs and services support employee connection, operational excellence, and the company’s broader talent strategy.\n\nOur Workplace team is responsible for creating office environments that feel human, energizing, inclusive, and thoughtfully designed. We set high standards for how people experience work every day and help ensure employees feel supported, connected, and motivated throughout their careers.\n\n\n\n\nABOUT US\n\nPerplexity is a San Francisco based AI “answer engine” founded in 2022 and was created to rethink how people search for and consume information. Our mission is to democratize access to knowledge by providing fast, accurate, and transparently cited answers in natural language rather than long lists of links. We are guided by a vision of making information retrieval more conversational, trustworthy, and accessible to everyone. Perplexity has expanded from a web product into browser extensions, mobile apps, and a Pro offering while positioning itself as an AI‑native alternative to traditional search.\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n\nWORKPLACE STRATEGY AND EMPLOYEE EXPERIENCE\n\n - Support the development and execution of workplace programs that align with company values, employee needs, and business priorities.\n\n - Partner with Events and People teams to create in-office experiences that encourage connection, collaboration, and productivity.\n\n - Help design a consistent and engaging office experience for local employees, visiting employees, candidates, customers, and guests.\n\n - Identify opportunities to improve workplace services, office usage, employee experience, and operational efficiency.\n\n - Promote a culture of inclusion, hospitality, collaboration, and productivity across assigned office locations.\n\n\nOPERATIONS AND FACILITIES MANAGEMENT\n\n - Manage daily workplace operations for the San Francisco office and support the Palo Alto office through weekly visits and additional travel as needed.\n\n - Oversee core workplace services, including food and beverage, snacks, cleaning, maintenance, front desk, guest services, office supplies, and site readiness.\n\n - Partner with local office leads and vendors to maintain consistent quality, service, and maintenance standards across assigned offices.\n\n - Coordinate proactive maintenance, space planning, office repairs, and workplace improvement projects.\n\n - Help implement standardized workplace programs, policies, and practices in collaboration with internal partners and local office stakeholders.\n\n\nBUDGET, VENDORS, AND PROCUREMENT\n\n - Manage workplace budgets, invoice review, purchase approvals, and expense tracking in partnership with Finance.\n\n - Prepare and maintain proposals for workplace initiatives, including scope, budget, timeline, business rationale, and expected impact.\n\n - Evaluate vendor performance, negotiate service improvements, and identify cost-saving opportunities related to facilities, services, and workplace programs.\n\n - Ensure workplace expenses are accurately allocated and aligned with organizational goals.\n\n\nHEALTH, SAFETY, AND EMERGENCY PREPAREDNESS\n\n - Partner with internal teams to support workplace health, safety, and emergency preparedness programs.\n\n - Coordinate emergency response planning, drills, employee communications, and office-specific readiness materials.\n\n - Help ensure employees have access to relevant safety information, emergency procedures, and workplace resources.\n\n - Support compliance with applicable company policies and local workplace requirements.\n\n\nCROSS-FUNCTIONAL COLLABORATION\n\n - Build and maintain strong relationships with internal partners across People, Finance, IT, Security, Legal, Events, Recruiting, and business teams.\n\n - Communicate workplace updates, operational changes, and office expectations clearly to employees and leaders.\n\n - Gather employee feedback and use it to improve workplace programs, services, and office experience.\n\n - Influence stakeholders and support the successful rollout of workplace initiatives across assigned locations.\n\n\nWHAT YOU’LL BRING\n\n - 7+ years of experience in workplace operations, facilities management, hospitality, office management, or a related operational role.\n\n - Experience managing workplace operations for multi-location or high-growth organizations.\n\n - Strong knowledge of office services, vendor management, facilities maintenance, food and beverage programs, employee experience, and workplace safety practices.\n\n - Demonstrated ability to manage budgets, review invoices, track expenses, and identify cost-saving opportunities.\n\n - Excellent project management skills, with experience delivering workplace initiatives on time and within budget.\n\n - Strong stakeholder management skills and the ability to influence cross-functional partners.\n\n - Ability to operate independently in a fast-paced, onsite environment with shifting priorities.\n\n - Experience leading workplace enhancements that improve employee experience while balancing cost, quality, and operational needs.\n\n - Bachelor’s degree in Business Administration, Facilities Management, Operations Management, or equivalent practical experience preferred.\n\n - Must be located within commutable distance of the San Francisco office and able to work onsite. Weekly travel to the Palo Alto office is required, with additional travel as needed.\n\n\nPHYSICAL REQUIREMENTS\n\nThis role requires regular onsite presence and may involve walking through office spaces, standing for extended periods, lifting or moving office supplies, and supporting event or facilities setup. Reasonable accommodations will be provided as required by law.","compensation":{"compensationTierSummary":"$130K – $140K • Offers Equity","scrapeableCompensationSalarySummary":"$130K - $140K","compensationTiers":[{"id":"6d97cf1a-f178-4025-b408-19ae179c4243","tierSummary":"$130K – $140K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"6df15f87-6803-4612-8a04-7ad0405eb002","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"c56bec7f-d12b-4939-87fc-50b6762efbc0","summary":"$130K – $140K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":130000,"maxValue":140000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":130000,"maxValue":140000}]}},{"id":"29625b7a-5470-463b-8446-21fac84e80b9","title":"Engineering Manager (API Platform)","department":"API Platform","team":"API Platform","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-07T20:31:55.658+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/29625b7a-5470-463b-8446-21fac84e80b9","applyUrl":"https://jobs.ashbyhq.com/perplexity/29625b7a-5470-463b-8446-21fac84e80b9/application","descriptionHtml":"Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers.
From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike.
Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.
Perplexity is seeking a strong technical leader to steer the API Platform engineering team through a rapid period of growth. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.
You and your team will work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).
This role is ideal for seasoned engineering managers who are unusually passionate about providing the world with programmatic access to the building blocks of frontier intelligence.
Provide both technical and team leadership across multiple layers of our rapidly growing API business.
Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.
Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.
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.
Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs.
Track and ensure progress toward top-line business goals, in close coordination with engineering and business executives.
Entrepreneurial attitude; able and eager to run more than just engineering.
Proficiency in Python (bonus points for Go and/or Rust).
Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.
Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus.
Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.
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.
At Perplexity, we're changing how the world finds answers. In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and behind all of that sits the technology infrastructure that keeps a fast-moving company running.
We're looking for an IT Systems Administrator who wants to do more than keep the lights on. This is an early, high-impact role where you'll build the systems and automations that let our team move even faster. You won't just respond to tickets. You'll figure out how to make them disappear. We give our IT team the same AI tools we build for everyone else, and we expect you to use them.
This role is based in-person at our San Francisco office.
Use Perplexity's own Computer product to build AI automations, custom skills, and IT workflows that take repetitive work off your plate.
Work and tune agentic IT ticketing, including ticket analysis, creation of KPIs and building of workflows that resolve common requests automatically.
Automate the management of users and devices so IT is as hands-off as possible.
Enable Self Service and help other departments automate their processes as well.
Manage and optimize corporate software systems.
Improve our Mobile Device Management (MDM) setup and create a very polished Onboarding experience.
Roll out and enforce strong security policies.
Lead IT projects across endpoint management, IAM and the IT backendTrain and support staff on IT systems, in person and remotely.
7+ years of hands-on IT systems administration experience.
Strong skills in macOS and Google Workspace.
Hands-on expertise administering and automating Okta, including securing access with strong auth policies and end‑to‑end user lifecycle automation using Okta Workflows; scripting experience with Bash or Python is highly preferred.
Sharp troubleshooting instincts across MDM, Okta and common SaaS applications.
A solid grasp of cybersecurity fundamentals, including IAM, RBAC, least privilege and encryption.
Experience managing a ticketing system, including ITIL Problem Management and creating and monitoring of SLAs.
A track record of leading IT projects from upgrade to rollout with minimum supervision.
Clear communication and a genuine interest in automating away busywork.
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
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 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\n\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\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\n\n\nRepeat. For curious people this is a cycle that never ends.","compensation":{"compensationTierSummary":"$230K – $330K • Offers Equity","scrapeableCompensationSalarySummary":"$230K - $330K","compensationTiers":[{"id":"ca085a43-ec24-4726-a335-f12c1d89475e","tierSummary":"$230K – $330K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"0ee7beff-cec9-4632-89ec-4ac97b171a6a","summary":"$230K – $330K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":230000,"maxValue":330000},{"id":"91d0c3ba-6341-42cf-ae81-ab135ca95038","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":230000,"maxValue":330000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"4c0ac8bb-55bf-4fb0-b7d7-36d69f55e6c8","title":"Member of Technical Staff (Software Engineer, Computer)","department":"AI Products","team":"AI Products","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"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\n\n\nWE ARE HIRING BUILDERS TO JOIN OUR HIGHLY LEVERAGED ENGINEERING TEAM FOR CREATING NEW PRODUCTS THAT INNOVATE AND ACCELERATE HUMAN PRODUCTIVITY\n\n\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\n\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\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\n\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\n\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\n\n\nRepeat. For curious people this is a cycle that never ends.","compensation":{"compensationTierSummary":"$220K – $405K • Offers Equity","scrapeableCompensationSalarySummary":"$220K - $405K","compensationTiers":[{"id":"909e3d9a-b4f2-4be3-92f6-54e222de2841","tierSummary":"$220K – $405K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"7331ce8a-0c1b-40fb-9a59-0dfc0658ead0","summary":"$220K – $405K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"id":"8930fdf2-9189-43d5-a733-041787fae8c4","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"acd466ba-536f-49da-968a-15b8c53298f8","title":"Enterprise Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Austin","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-05-13T20:31:16.810+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/acd466ba-536f-49da-968a-15b8c53298f8","applyUrl":"https://jobs.ashbyhq.com/perplexity/acd466ba-536f-49da-968a-15b8c53298f8/application","descriptionHtml":"Perplexity is seeking a highly motivated and skilled Account Executive 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 Account Executive 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 ","compensation":{"compensationTierSummary":"$200K – $400K • Offers Equity • Offers Commission","scrapeableCompensationSalarySummary":"$200K - $400K","compensationTiers":[{"id":"2b8cd78f-a80a-4360-b937-158a2b6ccf60","tierSummary":"$200K – $400K • Offers Equity • Offers Commission","title":null,"additionalInformation":null,"components":[{"id":"299d45ff-7b8d-46e9-aa7c-ea9fa1a353c6","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"93b35090-6dca-4c22-8c9d-27c30236de30","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"5b5bc8eb-9c68-4a12-82f8-676d87ad4f00","summary":"$200K – $400K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":400000}]}],"summaryComponents":[{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":400000}]}},{"id":"fdc2ea75-c198-4a9e-9c0a-df835ed61ed0","title":"Scaled Enterprise Customer Success Manager","department":"Customer Success & Support","team":"Customer Success & Support","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Austin","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-05-16T00:19:04.959+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/fdc2ea75-c198-4a9e-9c0a-df835ed61ed0","applyUrl":"https://jobs.ashbyhq.com/perplexity/fdc2ea75-c198-4a9e-9c0a-df835ed61ed0/application","descriptionHtml":"
Perplexity is looking for a Scaled Enterprise Customer Success Manager to join our Enterprise team. In this role, you'll be responsible for driving onboarding, adoption, retention, and expansion across a high-volume book of SMB and Mid-Market customers. The ideal candidate has a strong foundation in Customer Success or Account Management within a scaling technology company, with the ability to use data, repeatable programs, and sharp customer judgment to create impact across many accounts.
You will work closely with members of the Enterprise, Sales, Product, Support, and Marketing teams to help customers realize value from Perplexity at scale. This role requires strong communication, operational discipline, comfort with ambiguity, and a proactive \"can-do\" attitude. Your success will play a crucial role in expanding Perplexity's enterprise customer base, identifying conversion opportunities from self-serve customers, and helping build the next generation of scaled customer success motions.
Responsibilities
Execute the scaled Enterprise customer success strategy developed by leadership
Manage a high-volume portfolio of SMB and Mid-Market customers through a lower-touch, data-informed engagement model
Serve as a point of contact for customers across onboarding, adoption, value realization, renewal, and expansion moments
Drive initial enablement through repeatable onboarding programs, training sessions, office hours, webinars, and digital content
Monitor customer health, usage trends, and engagement signals to prioritize outreach and identify risks or growth opportunities
Identify self-serve customers with strong usage, business fit, or expansion potential and support conversion opportunities into Enterprise
Partner with Sales and Account Management to surface expansion, upgrade, and renewal opportunities across scaled accounts
Help customers quantify value delivered by Perplexity through usage insights, adoption milestones, and business outcomes
Advocate for customer needs and collaborate with cross-functional teams to improve product experience, enablement materials, support processes, and scaled CS playbooks
Track and report on key performance indicators, analyze data to identify trends, and recommend improvements to scaled engagement programs
Qualifications
3+ years of experience in Customer Success, Account Management, Sales, or related customer-facing roles at scaling technology companies
Experience supporting SMB, Mid-Market, or high-volume customer segments, ideally in a SaaS or AI/productivity tooling environment
Strong customer judgment with the ability to balance personalized engagement and scalable program execution
Proven ability to drive adoption, retention, and growth across a book of business
Excellent written and verbal communication skills, with the ability to clearly explain value to business and technical stakeholders
Comfortable using data to prioritize outreach, diagnose account health, identify product usage trends, and uncover expansion signals
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, customer success platforms, analytics tools, and customer engagement workflows
About Perplexity
Perplexity is the answer engine for the AI era. We are scaling a fast-growing enterprise business and building the operating system that runs it. Our GTM stack is modern, API-first, and Snowflake-native. We build before we buy, and we ship.
The Role
We are hiring a Sales Systems Engineer to own the technical layer underneath our enterprise sales motion. This person runs CPQ, account and lead scoring, data orchestration, and the integrations that connect Salesforce, Snowflake, and the rest of our GTM stack.
You will be the technical owner of how deals get priced, quoted, scored, routed, and tracked. You will work directly with sales, finance, marketing ops, and product to build a system that scales from where we are now to a billion-dollar-ARR business.
This is a builder role. You should be equally comfortable writing SQL in Snowflake, building Salesforce flows, configuring CPQ rules, debugging a Workato recipe, and shipping a Python script to fix a data problem before the seller notices.
What You Will Own
CPQ: Quote-to-cash configuration, product catalog, pricing rules, approval workflows, discount governance, contract generation. Partner with Finance and Legal on guardrails.
Scoring: Account scoring, lead scoring, PLG activation scoring, intent signal aggregation. Build and maintain scoring models in Snowflake, push scores to Salesforce via reverse ETL.
Data orchestration: Polytomic, Hightouch, and Workato pipelines that move data across Snowflake, Salesforce, NetSuite, Apollo, Unify, and the rest of the stack. Own SLAs, monitoring, and breakage response.
Salesforce engineering: Flows, validation rules, formula fields, custom objects, Apex when needed, Lightning page configuration, permission sets, sandbox management.
Integrations: API-level integration work across our GTM tools. Build custom connectors when off-the-shelf does not cut it.
Routing and ownership: Account routing logic, opportunity assignment rules, territory management, ROE enforcement.
Reporting infrastructure: Snowflake models that power pipeline, forecast, comp, and exec reporting. Partner with Analytics on the visualization layer.
What We Are Looking For
5+ years in Sales Systems, RevOps Engineering, Salesforce engineering, or Enterprise Systems at a high-growth SaaS company
Deep Salesforce expertise: flows, formula fields, validation rules, custom objects, sharing model, Apex if needed
Hands-on CPQ experience (Salesforce CPQ, Stripe Billing, Maxio, or similar) including pricing, approvals, and quote generation
Strong SQL. You can write production-grade Snowflake queries and build dbt-style transformation logic.
Production experience with reverse ETL (Polytomic, Hightouch, Census) and iPaaS (Workato, Tray, Zapier at scale)
Comfort with REST APIs, webhooks, and scripting in Python or JavaScript
A bias for building. You have shipped custom solutions when the vendor option was wrong.
Operator mindset. You read tickets, you ship fixes, you do not need a PM to translate seller requests.
Nice to Have
Familiarity with PLG-to-enterprise motion and scoring users into accounts
Experience with Apollo, Unify, Loops, Gatsby, Momentum, Floqer, or similar GTM tools
NetSuite or Metronome billing exposure
Comp plan tooling (Everstage, CaptivateIQ, QuotaPath)
Background in entity resolution, dedup, or domain enrichment
How We Work
Build over buy when it earns its keep
Snowflake is the source of truth, Salesforce is the system of action
Live data over polling
Real people own accounts, never queues
Direct, fast, low-process. We delete and resend over debate.
What Success Looks Like
90 days: You own CPQ, scoring, and orchestration. Nothing breaks silently. Sellers know who to call.
180 days: Quote-to-cash is clean. Scoring drives real routing decisions. Snowflake-Salesforce sync is boring.
12 months: You have replaced two vendors with custom builds, shipped the next generation of our scoring system, and made the seller experience visibly better.
Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users.
The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers.
As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi‑region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises.
Own the roadmap and technical strategy for agent-driven cloud infrastructure management.
Design and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads.
Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions.
Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer‑owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails.
Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks.
Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers.
Develop automation, tooling, and runbooks that make day‑2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments.
Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity).
Strong background with Kubernetes/EKS and container orchestration, including multi‑cluster, multi‑region, or multi‑account setups.
Hands-on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds).
Experience building or operating secure, isolated environments for enterprise customers (single‑tenant, BYOC, or on‑prem), ideally including BYOK/KMS integrations and compliance constraints.
Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling.
Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root‑cause analysis and long‑term fixes.
7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users.
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 up-level 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.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
","descriptionPlain":"ABOUT PERPLEXITY AI\n\nPerplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users.\n\n\n\n\nABOUT THE ROLE\n\nPerplexity 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 up-level the way our company and our teams operate, to deliver order-of-magnitude improvements in product and user experience.\n\n\n\nJust 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.\n\n\n\nThe 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.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Identify, prioritize, and execute on the highest-potential opportunities to accelerate Perplexity’s delivery cadence with frontier AI capabilities.\n\n - 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.\n\n - Make our codebases, systems, and knowledge stores legible to AI.\n\n - Help the company triangulate toward the optimal point on the quality-velocity Pareto frontier, while shifting that frontier outward with AI tools and agents.\n\n - 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.\n\n - Help the company make high-conviction bets on specific technologies in situations where indecision is a comfortable and tempting default.\n\n - 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.\n \n \n \n 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.\n\n\n\n\nQUALIFICATIONS\n\n - 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.\n\n - Daily use of AI models/tools, along with strong intuition on their jagged frontiers.\n\n - Proficiency with Python, along with experience and/or desire to learn more about Rust, TypeScript, Go, and other languages.\n\n - 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.\n\n - 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.)\n\n - An obsession with improving the legibility of (and reducing brittleness in) both software and human-orchestrated processes.\n\n - Experience navigating tricky exploration-exploitation tradeoffs, balancing the need to ship today with the need to build capacity for tomorrow.\n\nIf you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.","compensation":{"compensationTierSummary":"$250K – $405K • Offers Equity","scrapeableCompensationSalarySummary":"$250K - $405K","compensationTiers":[{"id":"173bfff1-c0c6-4d8d-b244-d467dd332caa","tierSummary":"$250K – $405K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"d2372161-726e-40dc-9201-68609aa180db","summary":"$250K – $405K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":405000},{"id":"8d4197cd-d54b-43c1-a544-87bd0a8aaac2","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":405000},{"compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"0d722589-0f8c-4500-ae79-d3bba5c8a0ea","title":"Member of Technical Staff (Software Engineer, Cloud Infrastructure)","department":"Platform & Infrastructure","team":"Platform & Infrastructure","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"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":"2026-06-03T15:09:25.530+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/0d722589-0f8c-4500-ae79-d3bba5c8a0ea","applyUrl":"https://jobs.ashbyhq.com/perplexity/0d722589-0f8c-4500-ae79-d3bba5c8a0ea/application","descriptionHtml":"The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers.
As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi‑region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises.
Own the roadmap and technical strategy for agent-driven cloud infrastructure management.
Design and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads.
Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions.
Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer‑owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails.
Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks.
Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers.
Develop automation, tooling, and runbooks that make day‑2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments.
Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity).
Strong background with Kubernetes/EKS and container orchestration, including multi‑cluster, multi‑region, or multi‑account setups.
Hands-on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds).
Experience building or operating secure, isolated environments for enterprise customers (single‑tenant, BYOC, or on‑prem), ideally including BYOK/KMS integrations and compliance constraints.
Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling.
Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root‑cause analysis and long‑term fixes.
7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake.
The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse.
In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem.
Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation.
Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation.
Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows.
Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.
Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction.
Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams.
Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap.
Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration.
5+ years (Senior) or 8+ years (Staff) of software engineering experience.
Strong experience building production data infrastructure systems.
Hands-on experience with batch and/or streaming data processing at scale.
Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).
Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).
Strong systems thinking around reliability, latency, cost, and complexity tradeoffs.
Experience supporting ML/AI workflows, training pipelines, or evaluation systems.
Familiarity with data quality, lineage, observability, and governance tooling.
Prior ownership of internal platforms used by many teams.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake.\n\nThe team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse.\n\nIn this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation.\n\n - Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation.\n\n - Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows.\n\n - Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.\n\n - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction.\n\n - Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams.\n\n - Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap.\n\n - Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration.\n\n\n\n\nQUALIFICATIONS\n\n - 5+ years (Senior) or 8+ years (Staff) of software engineering experience.\n\n - Strong experience building production data infrastructure systems.\n\n - Hands-on experience with batch and/or streaming data processing at scale.\n\n - Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).\n\n - Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).\n\n - Strong systems thinking around reliability, latency, cost, and complexity tradeoffs.\n\n - Experience supporting ML/AI workflows, training pipelines, or evaluation systems.\n\n - Familiarity with data quality, lineage, observability, and governance tooling.\n\n - Prior ownership of internal platforms used by many teams.\n\n\n\nIf you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.","compensation":{"compensationTierSummary":"$220K – $405K • Offers Equity","scrapeableCompensationSalarySummary":"$220K - $405K","compensationTiers":[{"id":"afdd08bc-8d13-4d53-a9cf-7b7f659e32a5","tierSummary":"$220K – $405K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"b44629cb-533c-4248-8ebc-f16bf63654d9","summary":"$220K – $405K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"id":"e01b5588-ae95-48e6-ade9-f2ef45ed3731","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"7795683f-6c5f-40cd-af2d-51294edddd4b","title":"Member of Technical Staff (Software Engineer, Backend Platform)","department":"Platform & Infrastructure","team":"Platform & Infrastructure","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"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":"2026-06-03T15:09:42.080+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/7795683f-6c5f-40cd-af2d-51294edddd4b","applyUrl":"https://jobs.ashbyhq.com/perplexity/7795683f-6c5f-40cd-af2d-51294edddd4b/application","descriptionHtml":"The Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence.
This high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.
Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements.
Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls.
Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth.
Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems.
Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities.
Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable.
Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).
Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures.
Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).
Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.
Collaborative mindset and eagerness to solve challenging technical problems with other experienced engineers.
Comfort working in security‑sensitive areas (auth, authorization, encryption) and making pragmatic trade-offs between safety, simplicity, and velocity.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence.\n\nThis high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements.\n\n - Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls.\n\n - Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth.\n\n - Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems.\n\n - Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities.\n\n - Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable.\n\n\n\n\nQUALIFICATIONS\n\n - Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).\n\n - Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures.\n\n - Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).\n\n - Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.\n\n - Collaborative mindset and eagerness to solve challenging technical problems with other experienced engineers.\n\n - Comfort working in security‑sensitive areas (auth, authorization, encryption) and making pragmatic trade-offs between safety, simplicity, and velocity.\n\n\n\nIf you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.","compensation":{"compensationTierSummary":"$220K – $405K • Offers Equity","scrapeableCompensationSalarySummary":"$220K - $405K","compensationTiers":[{"id":"82554b16-85bf-4c04-84e2-1061c197eda9","tierSummary":"$220K – $405K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"a7d895b1-d127-4737-b071-c86360957fd4","summary":"$220K – $405K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"id":"62a92b5f-f593-4e91-ae65-bfb1a46f914e","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"b404e73c-5aff-4151-a1a8-6593fb6ccabf","title":"Member of Technical Staff (Software Engineer, Storage Platform)","department":"Platform & Infrastructure","team":"Platform & Infrastructure","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"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":"2026-06-03T15:09:51.053+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/b404e73c-5aff-4151-a1a8-6593fb6ccabf","applyUrl":"https://jobs.ashbyhq.com/perplexity/b404e73c-5aff-4151-a1a8-6593fb6ccabf/application","descriptionHtml":"About the Role
The Storage Platform team owns the infrastructure that powers how Perplexity persists, retrieves, and manages data across all systems, ensuring high availability, performance, and cost-efficiency for every product and AI workload.
This foundational, high-impact group is responsible for the full spectrum of storage technologies – relational databases, vector databases, custom storage implementations, and the tooling to provision, monitor, and optimize them at scale.
By building robust abstractions and operational excellence around storage, the team enables engineers across Perplexity to focus on product innovation while trusting that data is fast, reliable, and always accessible.
Design, operate, and continuously improve the storage platform that underpins all Perplexity products and AI workloads, including relational, NoSQL, and vector databases.
Own reliability, performance, and availability SLOs for stateful systems, driving root cause analysis and long‑term fixes for storage‑related incidents.
Define and evolve opinionated storage abstractions, APIs, and tooling that make it simple and safe for product teams to consume storage at scale.
Partner with AI, infra, and product teams to design data models and access patterns that meet low‑latency, high‑throughput, and cost‑efficiency requirements.
Lead capacity planning, benchmarking, and lifecycle management for storage clusters, including scaling, migrations, and deprecations.
5+ years of experience building and operating large‑scale backend or infrastructure systems in production.
Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services.
Strong fundamentals in distributed systems, data modeling, and performance optimization for high‑throughput, low‑latency workloads.
Proven track record of owning services end‑to‑end, including design, implementation, deployment, and on‑call.
Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python).
Effective communication and collaboration skills, with the ability to partner closely with product, infra, and AI teams.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
","descriptionPlain":"About the Role\n\nThe Storage Platform team owns the infrastructure that powers how Perplexity persists, retrieves, and manages data across all systems, ensuring high availability, performance, and cost-efficiency for every product and AI workload.\n\nThis foundational, high-impact group is responsible for the full spectrum of storage technologies – relational databases, vector databases, custom storage implementations, and the tooling to provision, monitor, and optimize them at scale.\n\nBy building robust abstractions and operational excellence around storage, the team enables engineers across Perplexity to focus on product innovation while trusting that data is fast, reliable, and always accessible.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Design, operate, and continuously improve the storage platform that underpins all Perplexity products and AI workloads, including relational, NoSQL, and vector databases.\n\n - Own reliability, performance, and availability SLOs for stateful systems, driving root cause analysis and long‑term fixes for storage‑related incidents.\n\n - Define and evolve opinionated storage abstractions, APIs, and tooling that make it simple and safe for product teams to consume storage at scale.\n\n - Partner with AI, infra, and product teams to design data models and access patterns that meet low‑latency, high‑throughput, and cost‑efficiency requirements.\n\n - Lead capacity planning, benchmarking, and lifecycle management for storage clusters, including scaling, migrations, and deprecations.\n\n\n\n\nQUALIFICATIONS\n\n - 5+ years of experience building and operating large‑scale backend or infrastructure systems in production.\n\n - Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services.\n\n - Strong fundamentals in distributed systems, data modeling, and performance optimization for high‑throughput, low‑latency workloads.\n\n - Proven track record of owning services end‑to‑end, including design, implementation, deployment, and on‑call.\n\n - Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python).\n\n - Effective communication and collaboration skills, with the ability to partner closely with product, infra, and AI teams.\n\n\n\nIf you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.","compensation":{"compensationTierSummary":"$220K – $405K • Offers Equity","scrapeableCompensationSalarySummary":"$220K - $405K","compensationTiers":[{"id":"c53b2469-cb84-4006-9118-5c5d296ff46b","tierSummary":"$220K – $405K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"7d08a098-22eb-45b6-9a12-b1d9b63cd837","summary":"$220K – $405K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"id":"1a17c093-cfb8-43f9-ba71-607a36d0a7c3","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"678d1162-e650-4d6d-9532-b287255c00fb","title":"Member of Creative Studio (Producer, Brand & Creative)","department":"Design","team":"Design","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Remote (United States)","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-06-03T00:34:17.136+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/678d1162-e650-4d6d-9532-b287255c00fb","applyUrl":"https://jobs.ashbyhq.com/perplexity/678d1162-e650-4d6d-9532-b287255c00fb/application","descriptionHtml":"We're looking for a Producer to be the operational backbone of Perplexity's creative team. Our creative output is scaling fast — brand campaigns, GTM launches, shoots, partnerships — and we need someone who can run the production of all of it so our designers, motion designers, and brand leads can stay focused on the creative work.
You'll be the connective tissue between creative vision and real-world execution: coordinating projects across multiple teams, managing vendors and contractors, organizing shoots, and handling the licenses and contracts that keep everything legitimate and on track. You know how to protect creative intent while keeping timelines grounded in reality.
You'll report into the Brand/Creative Studio team and partner daily with Brand, Motion, Web, and our cross-functional partners in Comms, Product Marketing, and Partnerships.
Coordinate creative projects across multiple teams — owning scopes, timelines, budgets, and delivery so nothing falls through the gaps
Be the single point of contact for cross-functional partners (Comms, Product Marketing, Partnerships, Events) so requests are triaged, scoped, and delivered
Source and manage vendors, contractors, freelancers, and external agencies — negotiating, briefing, and keeping relationships strong
Organize and run shoots end-to-end: casting, location scouting, scheduling, crewing, and on-set logistics
Own licenses, contracts, releases, and rights management — keeping the team compliant and unblocked
Build and run a production workflow and intake process that keeps a fast-moving creative team organized without adding bureaucracy
Partner with post-production to make sure final assets are delivered on time and to spec
Protect the team's focus — handle the operational weight so creatives can do their best work
Experience as a producer on an in-house creative or brand team (e.g., Brand Producer / Creative Producer), ideally at a tech or consumer software company
A track record coordinating creative projects across teams and keeping them on time, on budget, and on brand
Hands-on experience managing vendors, contractors, and agencies, including negotiating and managing contracts
Experience organizing shoots — photo and video — and handling the logistics, licensing, and releases that come with them
Strong program and project management instincts; you bring order to a fast, ambiguous environment
Excellent communication and stakeholder management — you keep a lot of people aligned without slowing them down
Fluency with creative tools and workflows (Figma, Adobe Creative Suite) and the production process from concept to delivery
Comfort working alongside strong creative leaders — this role is about enabling great creative work, not directing it
Experience standing up production processes and intake systems from scratch
Background in both brand/campaign production and event or experiential production
A network of trusted vendors, photographers, directors, and production partners
We're looking for a Web Designer to own the design of Perplexity's marketing and landing pages. You'll be the person who makes sure every page we ship looks and feels like it belongs to one of the most exciting AI products in the world — clear, beautiful, and fast.
You're a great designer first and foremost, with the visual taste to set the bar for our web presence. But you also understand how modern web pages get built and maintained. As page volume grows across consumer and enterprise, a big part of this role is making our landing page system more self-serve internally: you'll create and own the design side of our CMS so the rest of the company can spin up on-brand pages without a designer in the loop every time.
You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our front-end engineers.
Own the design of marketing pages, landing pages, and growth surfaces end-to-end — you're the DRI for web craft
Create and own the CMS design system: the templates, components, and patterns that let teams build on-brand pages themselves
Partner with Growth and Product Marketing to translate business goals into compelling, high-converting page designs
Work with Brand to keep visual consistency across every web touchpoint
Collaborate directly with front-end engineers to ship pages quickly and at a high quality bar, including the ongoing migration off Framer
Bring a strong point of view on layout, typography, motion, and interaction design for the web
Raise the floor on self-serve page creation so the design team can focus on the highest-craft work
A strong portfolio of web and marketing design work — landing pages, campaign pages, product marketing sites — that shows you're a designer first
Excellent visual design skills with a clear sense of brand, typography, and composition
Hands-on experience designing within and for CMS / templating systems, and an instinct for building scalable, self-serve page systems
Experience at the intersection of brand and growth — you understand conversion without sacrificing craft
Comfort working fast and iterating in real time alongside engineers
Fluency in Figma and a solid understanding of responsive design, accessibility, and web performance
A clear opinion on what makes a great web page, and the ability to articulate why
Front-end development knowledge (HTML, CSS, and enough JS to prototype, tweak, and ship)
Background in brand or marketing design at a consumer tech company
Familiarity with SEO fundamentals and how design decisions affect discoverability
Motion design skills for web interactions and micro-animations
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Enterprise Experience team builds the foundation that lets organizations bring that power to every employee with confidence, control, and scale.
Enterprise Experience is the team that brings Perplexity into the workplace. You’ll build user-facing products that help organizations adopt products like Computer in practical, everyday tasks, and also guide organization admins to onboard and enable their teams to use Perplexity products effectively.
Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React
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.
Build intelligent products across onboarding, membership management, organization insights, permissions, subscriptions, billing, and usage controls.
Build systems that help organizations manage Perplexity at scale, from first setup through expansion, making it easier for admins to onboard teams, configure features, manage usage, and understand spend.
Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn complex administrative, billing, and governance needs into simple, reliable product experiences.
Own critical platform primitives end-to-end, from frontend admin flows to backend services, data models, billing integrations, observability, and production operations.
4+ years of professional software engineering experience; we’re open to strong junior and mid-level candidates with a track record of shipping.
Backend / Full Stack engineering skills, with experience in designing and building scalable and reliable distributed systems, serving high traffic and a large user base.
Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear customer impact.
Experience building product or platform features that require careful data modeling, state management, backend correctness, and high-quality user experience.
Strong product judgment; you can make complex admin, billing, and permissions workflows feel simple and intuitive.
Self-motivated with strong ownership instincts; you identify problems, propose solutions, and drive improvements without waiting for perfect specs.
Genuine interest in AI products and willingness to learn quickly.
Experience building enterprise SaaS products, admin consoles, membership systems, RBAC/permissions, or organization management features.
Experience with subscriptions, billing systems, or usage-based pricing.
Familiarity with security, compliance, or governance concerns in enterprise products.
Experience partnering directly with Sales, Finance, Support, or enterprise customers to solve high-impact product and platform problems.
Time spent at a fast-growing startup or on a high-ownership engineering team.
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences.
As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
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 growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product.
Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each.
Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces.
Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes.
Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts.
Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces.
2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping).
Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend).
Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data.
Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
Genuine interest and adoption of AI products and willingness to learn quickly.
Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company.
Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces.
Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces.
Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation.
Experience shipping for both consumer and enterprise audiences.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring
Perplexity is hiring builders to join our Multimodal AI group, an industry-leading team defining the next generation of human-AI interaction. Our team is creating experiences that move beyond the touch interface, allowing people to communicate with AI through the form factors that best meet their needs. These include through voice, images, video, or new modalities we have yet to invent.
As an engineer on the Multimodal AI team, you will work across the stack to build the product experiences and platform systems that make this possible across our applications. Our stack spans immersive UIs, realtime audio processing, evaluation systems, backend infrastructure, and supporting libraries and SDKs. We’ll work with you to match your strengths and interests to the areas where you can drive the most impact, while collaborating as a team to turn ambiguous, bleeding-edge problems into reliable experiences for users.
Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.
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 multimodal platform systems for Perplexity.
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 multimodal AI.
Work closely with client verticals to integrate new features into their stack.
Experience building and operating production systems at a meaningful scale.
Ability to work up and down the stack, from deep systems primitives to getting the pixels and prompts just right.
Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
Genuine interest and adoption of multimodal AI products and willingness to learn quickly.
Ability to think through novel problems and implement companion long-term solutions that scale.
Background including work with realtime audio or video processing.
Experience with audio stack technologies including audio processing modules (APMs), echo cancellation, noise reduction/cancellation, automatic-gain control (AGC), etc.
Experience with immersive UIs integrating with realtime data.
Some experience or familiarity with Rust or C++
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.
Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.
Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user.
To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity.
Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.
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.
Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.
Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences.
Design the decision layer that balances competing objectives to produce the best overall experience for the user.
Build the data and evaluation foundations that let these systems learn and improve with usage.
Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.
Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.
Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.
Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.
For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.
Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).
Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.
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 seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.\n\nPerplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user.\n\nTo do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity.\n\n\n\n\nWHY PERPLEXITY IS DIFFERENT\n\n - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.\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 - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.\n\n - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences.\n\n - Design the decision layer that balances competing objectives to produce the best overall experience for the user.\n\n - Build the data and evaluation foundations that let these systems learn and improve with usage.\n\n - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.\n\n - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.\n\n - Experience integrating LLMs into ranking, retrieval, or personalization pipelines.\n\n - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.\n\n - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.\n\n\nNICE TO HAVE\n\n - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).\n\n - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.\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.","compensation":{"compensationTierSummary":"$220K – $405K • Offers Equity","scrapeableCompensationSalarySummary":"$220K - $405K","compensationTiers":[{"id":"548aee4f-f220-4cbc-86bc-7c04aa28c88f","tierSummary":"$220K – $405K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"7b328da3-e5a8-4dde-8d4f-b4f4457d8e59","summary":"$220K – $405K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"id":"81f8a1f3-6837-44cd-bc67-b4c30450346b","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":405000},{"compensationType":"EquityCashValue","interval":"NONE","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"e0e8188a-9c92-4795-82a5-7384f1b25bc7","title":"Commercial Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Austin","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-06-08T16:33:16.930+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/e0e8188a-9c92-4795-82a5-7384f1b25bc7","applyUrl":"https://jobs.ashbyhq.com/perplexity/e0e8188a-9c92-4795-82a5-7384f1b25bc7/application","descriptionHtml":"Perplexity is seeking a highly motivated and skilled Commercial Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth across small and mid-sized organizations, converting product-led demand into committed Enterprise relationships, and building Perplexity's footprint across thousands of high-potential accounts. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to help shape Perplexity's commercial motion from the ground up.
Drive new business by prospecting, pitching, and closing Perplexity Enterprise solutions with small and mid-sized organizations
Convert existing self-serve customers into Enterprise relationships, and land net-new logos through outbound, inbound, and product-led signals
Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs
Conduct high-impact product demonstrations and respond to technical inquiries across Perplexity's full product suite
Lead client engagement through the entire sales cycle, from initial presentation, technical evaluation, negotiation, to closing and onboarding
Quickly diagnose account potential, qualify in and out with discipline, and partner with Enterprise AEs when an account warrants a larger motion
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, logo, and activity targets on a monthly and quarterly basis
Maintain accurate records of pipeline and account activity using CRM tools
Full-cycle SaaS sales experience with a strong track record of closing new business
Proven record of meeting or exceeding revenue targets in a high-growth environment
Skilled at running efficient sales cycles and tailoring messaging to different buyer personas and decision makers
Proven success outbound prospecting into small and mid-sized organizations
Exceptional written and verbal communication; comfortable presenting to executives and technical buyers
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
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 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
Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers.
From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike.
Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.
Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.
As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).
Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.
Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems).
Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.
Harden system security and reliability across heterogeneous compute environments.
Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs.
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: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.
Hands-on cloud experience (AWS preferred), along with fluency with Kubernetes, CI/CD, and modern DevOps practices.
Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus.
Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns.
Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks.
As every major breakthrough in AI models creates new possibilities, the Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, define how they should appear in the product, and transform them into reliable, production grade experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation.
Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React
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.
Investigate emerging frontier-model behaviors and identify opportunities to turn them into product capabilities. Help define how advances in reasoning, planning, memory, learning, and agent collaboration appear in the product.
Build and evolve Skills, Workflows, and Artifacts into a coherent ecosystem. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for complex real-world tasks.
Own capabilities end-to-end, from user-facing products and interfaces to backend services, evaluation, data models, and production operations.
Build scalable platform infrastructure and backend systems that power capability execution, sharing, and lifecycle management across high volume user and agent interactions.
Collaborate closely with PM, Design, Data Science, Sales, Research, to identify high-impact opportunities in both consumer and enterprise customer experiences, validate emerging capabilities, and translate complex agent behaviors into simple, reliable product experiences.
Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership.
Typically 8+ years of professional software engineering experience, with a track record of owning and delivering complex products or systems from conception to production. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply.
Strong full-stack engineering fundamentals, including experience building user-facing products, backend services, and scalable distributed systems that serve high traffic and large user bases.
Strong product judgment and instincts; you turn vague needs into simple, reliable systems and ship without waiting for perfect specs.
Comfort with data-informed decisions; you define the metrics and evals that prove a system works, and iterate on them.
Experience designing abstractions, platforms, or reusable systems that enable other engineers, users, or automated systems to accomplish complex tasks.
Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear user impact.
Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.
Experience building agentic systems (tool calling, subagents, long-running or autonomous task execution).
Experience building developer platforms or reusable-capability primitives (SDKs, plugin systems, workflow engines).
Experience with evaluation, benchmarking, or quality systems for ML/LLM-powered products.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Perplexity is revolutionizing how companies get work done, and increasingly, how developers build the next generation of AI-native products on top of our search and answer infrastructure. We are seeking a Product Marketing Manager, API to join our team and serve as the strategic bridge between our API product reality and market impact. You will architect the external narrative of our developer platform, demonstrate what's possible to build with the Perplexity API, and run the campaigns that drive developer adoption and platform 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.
Understand developers and shape the platform narrative. Maintain a deep, hands-on view of how developers evaluate and build with AI APIs, and translate that understanding into positioning, demos, reference apps, and use-case showcases that make it obvious what teams can build on the Perplexity API.
Drive API product adoption. Own the metrics that matter for a developer platform, including signups, first successful API call, activation, weekly active developers, and revenue, and build the programs that move them.
Build and manage developer campaigns. Plan and run integrated campaigns across owned channels, paid, social, email, events, hackathons, and partner ecosystems, defining the brief, commissioning assets, and reporting on funnel performance.
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.
7+ years of experience in product marketing, ideally within a high-growth technology company where you have owned end-to-end product launches.
Experience marketing to developers, technical buyers, or an API, SDK, platform, or infrastructure product, with a strong grasp of the developer marketing playbook.
Technical fluency: comfortable reading API docs, running sample code, and credibly discussing tradeoffs like model choice, retrieval quality, latency, and cost with engineers and PMs.
Demonstrated ability to build and manage integrated campaigns end to end, including briefing creative, working with cross-functional partners, and tracking funnel performance.
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 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\nThe individual in this role will manage teams in LON themselves while also facilitating.\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\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\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\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\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\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\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.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"1523826c-80ca-4e32-95f2-ddd6604afd26","title":"Sr. Technical Sourcer","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-06-19T17:46:22.983+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/1523826c-80ca-4e32-95f2-ddd6604afd26","applyUrl":"https://jobs.ashbyhq.com/perplexity/1523826c-80ca-4e32-95f2-ddd6604afd26/application","descriptionHtml":"At Perplexity AI, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Technical Sourcer, you will be at the forefront of shaping the talent foundation that fuels our growth.
This is not a traditional sourcing role. We are looking for a builder with strong technical grounding, a genuine passion for the craft of sourcing, and the ability to operate with creativity and precision in an environment where constant change and ambiguity is the norm. You will partner closely with recruiters, hiring managers, and engineers to identify, engage, and inspire world-class talent, helping build a team capable of solving some of the most challenging problems in AI today. Just as importantly, you will use AI to automate and augment your own workflow, treating sourcing as a system to be engineered rather than a set of manual tasks.
Research, identify, and engage engineering and technical talent across multiple disciplines and experience levels
Collaborate with recruiters and hiring teams to deeply understand technical requirements and calibrate profiles with accuracy and nuance
Use a wide range of sourcing strategies, including advanced research, talent mapping, referrals, AI-assisted automation, and creative outreach, to build strong candidate pipelines.
Build and refine your own tooling and workflows, leveraging AI to automate repetitive work and spend more of your time on high-judgment sourcing
Act as a candidate's first introduction to Perplexity AI, delivering an authentic and compelling story about our mission, product, and team culture
Track and analyze pipeline data to drive continuous optimization and improvements in sourcing approaches
Operate with agility, adapting quickly to shifting priorities, hard-to-fill roles, and changing team needs
A strong desire to grow a career in sourcing, with clear dedication to advancing your craft and developing deep expertise in the field
Exceptional technical literacy, comfortable navigating complex technical conversations, parsing nuanced skill sets, and understanding the architecture of software and AI roles
Proven experience sourcing talent in highly dynamic and fast-paced environments where priorities shift and ambiguity is constant
A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make sourcing faster and sharper
Creativity and resilience: the ability to design novel sourcing strategies, test new methods, and adapt quickly when faced with challenges
Excellent communication skills, with the ability to build trust and develop relationships with both candidates and internal partner teams
A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity AI's ethos of building what has never been built before
Perplexity is looking for a Creator & Influencer Marketing Lead to build, own, and scale our entire creator and influencer marketing function. In this multifaceted, senior role you will define the strategy in line with our company priorities, then own the execution of massive campaigns spanning 100+ creators and multi-million-dollar budgets. You will be a storyteller with genuine taste who differentiates Perplexity's products through thoughtful, sophisticated content, paired with a performance marketing mindset that ties creator work directly to our most important business outcomes. This role is ideal for an autonomous, high-output operator who wants to own and grow an entire function and amplify Perplexity's product launch velocity.
Lead Perplexity's creator and influencer marketing function end to end, from strategy through execution
Own execution of large-scale campaigns spanning 100+ creators, multiple channels, and multi-million-dollar budgets
Own creator contracting and negotiation for one-off campaigns and long term partnerships
Maximize the impact of Perplexity product launches by deploying the right creator mix, budget, and channels for each moment
Bring a performance marketing mindset to creator work, partnering with Growth to drive conversion and engagement, not just impressions
Push creators' work from good to great, providing the direction and candid feedback that elevates every piece
Review creator \"builds\" made with Perplexity Computer to ensure they are sophisticated, original, and effectively showcase the product’s impressive capabilities
Turn creators into a genuine community and long-term advocates through creator dinners, events, and in-person moments
Build a creative engine that extends your capacity through contractors, agencies, and usage of Perplexity Computer
Work cross-functionally with Growth, Product, Business, and Comms, acting as the connective tissue between creator marketing and the broader company
Minimum 5 years in creator/influencer or performance marketing, including time leading the function or building it from the ground up
Operated successfully in high-flux, high-growth environments where priorities shift quickly with the industry
Well-rounded operator who combines strategic sense, storytelling taste, and high execution velocity
Autonomous self-starter and high performer who thrives with ambiguity and builds the playbook rather than waiting for one
Track record of evaluating creator performance holistically, looking beyond impressions and engagement to tie creator work to hard business outcomes, with the analytical rigor to cut what isn't working and double down on what is
Strong creative judgment and editorial taste, with the product fluency to tell whether content and builds are genuinely sophisticated and original
Skilled, value-driven negotiator with a desire to win great deals while keeping creator relationships healthy
An existing network of creator and agency relationships, with fluency across Instagram, LinkedIn, X, and YouTube
Hands-on experience building tools / solutions with AI
Experience working with consumer technology products
Perplexity is looking for a Social Media Manager to expand how Perplexity shows up online. You'll run the channels day to day, writing posts, setting strategy, scaling our accounts, and writing for leadership and the team, working closely with our Communications and marketing team, product managers, and engineers.
This is a hands-on role. You'll write most of what goes out yourself. Excellent judgement and high taste are required. The role is mostly Instagram with some community initiatives like Reddit, and interacting with our developer audiences.
Run social channels day to day. Maintain our brand and product accounts across all channels. This includes writing social copy, planning content, and managing engagement.
Set the social strategy. Decide and execute how we grow each account, what we post where, and how we measure it.
Scale our team accounts. Help employees post in our voice and grow our presence across platforms.
Build and moderate community. Engage on Reddit and in developer communities, and represent Perplexity where our users already are.
Adapt and ship fast. Partner with Comms and marketing, PM’s, founders, and engineers in a fast-paced launch environment.
3+ years running social for a brand, ideally tech and AI.
You can write. Send us posts you wrote that performed and tell us why they worked.
Native fluency on Instagram and LinkedIn, with a track record of growing an account.
Demonstrated experience being entrusted with a brand voice
You know how to write for different audiences and platforms, and adjust the voice for each.
Comfortable in a fast launch cycle where the plan changes often
You've run or moderated a developer or technical community.
You've written on behalf of leadership or other voices.
You follow AI closely and have opinions on how the best companies show up online.
Perplexity is seeking an Internal Communications Manager to build that function from the ground up. You will own how information moves through Perplexity. You will be responsible for what Perplexity employees think, feel, know, and do. This is a 0→1 role with executive exposure from day one.
If you believe internal comms is a strategic function and want to shape how an n(1) company talks to itself, this role is for you.
Responsibilities
Listen and learn across the company. Understand what’s happening, how, and why in order to make sound recommendations on what should be amplified or addressed.
Run all-hands and executive content. Planning, execution, measurement, and evolution.
Internal storytelling. Turn strategy, launches, and hard decisions into messages that bring clarity to every team.
Be the signal in noise. Cut through Slack sprawl. Establish the channels, cadences, and norms that keep a fast company informed without drowning it.
Own change management. Deliver hard and easy news with equal clarity and candor. Earn trust for the message and the messenger..
Protect the culture. Words set the tone. Make sure ours sound like us as we grow.
Measure what matters. Perplexity is a high-velocity high-humility organization.
Partner across the company. Work with every team, brief executives directly, and earn standing as a truth-teller.
Qualifications
6+ years in internal, executive, or corporate communications, ideally inside a high-growth technology company.
A builder, not a maintainer. You've stood a function up, not just kept one running.
World-class writing and editing. You can ghostwrite for an executive, draft an all-hands, or defuse a sensitive announcement in any voice or format.
Proven change-management instincts. You've delivered complex news to a whole company and kept trust intact.
Sharp judgment under pressure. You decide fast, say the hard thing kindly, and hold the line on quality on launch day.
Comfort with executives who hold a strong vision. You can advise, challenge, and make recommendations to senior leaders without flinching.
Deep familiarity with the rules of corporate comms, and a clear point of view on which ones to break and when.
Comfort using AI tools in your workflow, and the ability to say exactly where and how you use them.
A passion for the truth well-told
Perplexity is seeking a Senior Editor to lead the quality and velocity of everything we publish. Our content spans a range of audiences, channels, and objectives. You will set the editorial bar for excellence and make every writer around you measurably better.
If you treat a clunky sentence and a sprawling launch narrative as the same kind of craft, take pride in language without being precious about deadlines, and want to build a world-class editorial function from the ground up, this role is for you.
Responsibilities
Own editorial quality end to end.
Reject mediocrity.
Demand clarity. Ensure accuracy.
Be Perplexity. Evolve and enforce our voice. Everything we ship should sound like we shipped it.
Be accountable. Hold objective authority in a sea of subjective opinions.
Plan and manage the editorial calendar. Run prioritization and production for a fast-moving pipeline in a high-growth environment.
Edit at every level. Player-coach plus team owner and stadium sponsor. Move fluidly from high-level editorial vision to developmental editing to line-level copy editing. Deliver feedback that makes the writing and the writer better.
Mentor, elevate, and attract excellent writers. Earn the respect of strong writers by making them stronger.
Make sense of things. Make sense to people.
Build the editorial system. Evolve and own the style guides and workflows.
Work productively across the company. Everyone wants content, and you’re the content.
Qualifications
7+ years in editing, writing, or editorial leadership, with a body of published or edited work that demonstrates exceptional command of language.
High flexibility of tone and mind. You must be able to demonstrate an ability to adapt styles and voices for different channels or audiences.
High competence throughout the editorial stack: developmental editing, copy editing, content planning, and managing production.
A demonstrated track record of mentoring writers and improving the quality of a team's output, not just your own.
Exceptional ability to learn.
Refined judgment on all matters of structure, argument, and voice
A proven eye for narrative in messy, ambiguous, or highly technical material.
Deep familiarity with the rules of grammar, style, and storytelling.
Enough experience in the bullet above that you have a clear perspective on which rules you intend to break and when.
Comfort using AI tools and the ability to articulate exactly where and how you incorporate them into your workflows.
A passion for the truth well-told.
Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.
As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
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 other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.
Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.
Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.
Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.
Qualifications
6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.
Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.
Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.
An \"extra zero\" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.
Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.
Experience mentoring engineers and raising the technical bar of a team.
Genuine interest in and adoption of AI products and willingness to learn quickly.
Nice to have
Domain expertise in verticals such as finance, healthcare, legal, or operations.
Experience building agentic product surfaces.
Time at a fast-growing startup or high-ownership engineering team.
Perplexity is seeking creative, AI native engineers to join our Enterprise Adoption team. Our company is reshaping the way people interact with AI agents within organizations. The Enterprise Adoption team's mandate is to continually uplevel the way our company and our customers use Perplexity Computer as the instrument of that transformation to deliver new ways of working in the agentic future.
Just as Perplexity is heralding an agentic future for the internet, you will ensure that the company makes our AI tools and agents a perfect fit for our growing Enterprise business. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Some of your users will be our own teams, from recruiting and go-to-market to finance, legal, support, and operations, and you will engineer the core systems that make Computer an indispensable multiplier of their craft. Learnings from our internal teams will also be applied for our enterprise customers, bringing frontier AI working patterns to external organizations.
Identify, prioritize, and execute on the highest-potential opportunities to make Computer transformative for every team at Perplexity, building the core systems that bring those opportunities within reach.
Develop empathy for the nuances of our technical and business teams' work across disciplines and verticals (recruiting, sales, finance, support, legal, and operations), toward collaborating with them to harness AI in new ways.
Make our knowledge stores, systems, and human-orchestrated processes legible to Computer, engineering the connectors, skills, and evaluation infrastructure that unlock each team's use cases at scale.
Close the loop between internal usage and the Computer product itself, translating the friction and triumphs of real work into core product and platform improvements.
Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn any process need into simple, reliable product experiences in Computer.
4+ years of professional software engineering experience. Familiarity with building platforms for enterprise or internal users is a plus.
Daily use of AI models/tools, with strong knowledge on the latest frontier.
Proficiency with Python, along with experience and/or TypeScript, Go, and other languages.
Strong understanding of the work of non-technical staff across enterprises, along with a curiosity about the work of business and operations teams, who will be your users.
Broad working knowledge of the modern AI agent stack (agents, connectors, context engineering, and evals), along with strong intuition for where today's agents shine and where they fall down. (For example: you don't need to have authored an MCP server, but you should know what MCP is and when/where/why it's used.)
Strong product judgement, you can make decisions that will simplify the agent user experience for customers with a range of technical abilities.
We're seeking a Design Systems Lead with extensive experience owning design systems at large organizations. You'll bootstrap an intuitive semantic token system that supports design and product teams across multiple platforms and frameworks - the foundation that keeps Perplexity's product coherent as we scale.
This is a true 50/50 design-engineer role. You'll live primarily in GitHub, where you own the system's repo, while staying fluent in Figma so design and engineering never drift apart. You'll set the bar for visual quality and the technical standards that let feature teams move fast without fragmenting the experience.
You'll work at the intersection of design and engineering, partnering with product feature teams across mobile, web, and React surfaces.
Bootstrap and own an intuitive semantic token system that works across multiple platforms and frameworks
Own the design system repo on GitHub: the source of truth for components, tokens, and standards, including versioning, release management, and a clear changelog
Set and uphold a high bar for visual design quality across every surface the system touches
Navigate the nuanced differences between mobile, web, and React UI best practices, and encode them into the system
Define and run the contribution model and governance: review and shepherd inbound contributions from product feature teams, keeping quality and consistency high as the system grows
Keep design and engineering in sync, bridging Figma and code so the system stays coherent end-to-end
Own clear, first-class documentation so teams can adopt components and tokens on their own, and drive adoption across the org through onboarding, office hours, and hands-on support
Bake in accessibility (WCAG) and theming (including dark mode) as defaults, not afterthoughts
Maintain a system roadmap, balancing net-new work, migrations, and deprecations against feature-team needs
Bring new AI tooling into the design systems workflow and help shape how we build systems in an AI-native way
Operate with autonomy in a fast-moving, ambiguous environment
Extensive experience owning design systems at large organizations
A true 50/50 design-engineer, equally credible in visual craft and in code
An impeccable eye for visual design
Deep understanding of the nuanced differences between mobile, web, and React UI best practices
Strong product sensibilities to help evaluate and integrate contributions from various product feature teams
Fluency in Figma, but primarily living in GitHub where you own the repo
Experience designing and maintaining semantic design tokens and scalable component APIs
A track record of driving adoption through excellent documentation and cross-functional partnership
Working knowledge of accessibility standards (WCAG) and how to build them into a system
Readiness to work with new AI tooling and genuine comfort with ambiguity
Experience building a semantic token system from scratch across multiple platforms
A track record scaling a design system through a period of fast org growth
Experience defining contribution models and governance for multi-team design systems
Familiarity with component tooling and documentation platforms (e.g., Storybook)
Experience mentoring designers and engineers and growing a design systems practice
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 Enterprise Product Growth Manager to own the full nurture and engagement engine for our enterprise and business buyers — from the first outbound touch through closed-won and into expansion. You will partner closely with Demand Generation, Sales, Product Marketing, and Revenue Operations to move accounts through every stage of the funnel, and you will build the AI-native tooling that makes those programs run.
We are not looking for someone to operate yesterday's marketing stack. If you are the kind of marketer who writes their own SQL, prototypes their own agents, and treats every flow as something to automate rather than execute by hand — this role was written for you.
RESPONSIBILITIES
Develop and own Perplexity's end-to-end enterprise lifecycle user states — outbound nurture, MQL-to-SQL conversion, opportunity acceleration, post-sale activation, expansion, and renewal — with direct accountability for pipeline created, pipeline progressed, and revenue retained.
Build and operate AI-native lifecycle tooling — agents that segment audiences from the warehouse, personalize copy at the account and persona level, choose channel and send time, QA before send, and read out results — replacing manual work in our stack wherever it appears.
Design and run multi-channel nurture across email, in-product, notifications, Slack, and emerging surfaces, tailored to enterprise personas with content tied to where each account sits in the funnel.
Partner with Demand Generation and Sales on top-of-funnel outbound: turn cold and intent-signaled accounts into engaged conversations, and instrument the handoffs that move them to opportunity.
Own post-sale lifecycle: admin onboarding, end-user activation, feature adoption, at-risk intervention, and expansion plays that grow seats and ARR inside existing accounts.
Run every program as an experiment. Define the hypothesis, the control, the primary metric, and the readout. Kill what doesn't work, double down on what does.
WHAT WE'RE LOOKING FOR:
7+ years in product growth, lifecycle, or growth marketing at a fast-paced startup, with a proven track record of moving activation, retention, and revenue metrics — including enterprise pipeline.
Experience owning growth end-to-end across the full user journey — from first touch and activation through expansion, monetization, and win-back. You've built growth loops and lifecycle programs that turn signups into engaged users and engaged users into revenue.
Deep understanding of audience segmentation. You think natively in personas, behavioral triggers, lifecycle stages, and product signals, and you know how to translate that into journeys, experiments, and in-product experiences that actually convert.
Great taste. You know how to craft copy and experiences that resonate across email, push, and in-product surfaces — for end users, admins, and executives alike — and you can tell the difference between a polished experience and a generic one at a glance.
Experience and deep interest in building homegrown AI-driven growth engines — programmatic personalization, agentic workflows, and rapid experimentation platforms to scale yourself.
Builder mentality toward tooling. You don't just operate the modern growth stack (Omni, HubSpot, Loops, Intercom, or equivalents) — you extend it. You've built your own internal tools, scripts, and automated systems to close gaps off-the-shelf software can't, and you'd rather automate a workflow than run it manually twice.
Comfortable with SQL. You can pull your own cohorts, validate your own segments, and read a dashboard without waiting on a data analyst.
Operates at high velocity. You ship daily, iterate weekly, and thrive in fast-paced, early-stage environments where processes are still being defined. Urgency is a default setting, not a mode you switch into.
Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers.
From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike.
Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.
Perplexity is seeking an energetic leader to oversee the developer experience across our API Platform. In this role, you'll manage our developer experience end-to-end and own the arc of how developers discover, adopt, and succeed with Perplexity's APIs.
You'll combine strong technical expertise with a high bar for craft and a passion for community building. You will personally serve as the face of Perplexity to developers, who will come to trust you as a champion for their needs and priorities. The initiatives you lead will bolster Perplexity as the platform of choice for developers seeking to build performant, efficient, and accurate AI systems.
Oversee the developer experience portfolio across Perplexity API Platform.
Craft and curate our developer-facing presence across docs, SDKs, CLIs, MCPs, and Agent Skills, with meticulous taste and attention to detail.
Build and nurture a thriving developer community that evangelizes Perplexity's API offerings and broadens conceptions of what's possible.
Represent the voice of the developer by maintaining a panoptic understanding of customer priorities, success patterns, and friction points.
Lead public engagement across developer events, social media, forums, and other high-signal channels.
Foster an ecosystem of community resources and examples that set the standard for how each API offering can be most effectively used.
Define metrics for developer health and satisfaction, and drive continuous improvement across our API Platform.
Run workshops, hackathons, and other participatory programs to convert curiosity into tinkering, tinkering into deployment, and deployment into customer wins.
Partner with fellow technical staff, GTM, support, and other cross-functional collaborators to ensure developers succeed across every industry and deployment scale.
Substantial experience working on or adjacent to developer-facing products in a technical capacity, preferably with a track record of growing adoption.
Strong empathy for developers across experience levels and technology stacks (past developer relations experience is highly relevant).
Detailed and accurate mental model of the developer ecosystem: in particular, how developers learn about, evaluate, and select API products.
Well-calibrated taste for API ergonomics; experience prototyping and developing API-based products end-to-end.
Sound understanding of the modern AI technical stack, major players/technologies at each layer, and differentiation opportunities.
Strong written and oral communication skills, with particular savviness in developer-facing mediums (technical articles, documentation, conference talks, social media, etc.).
Ability to balance aggressive use of frontier AI agents with the need for personality and taste.
High intrinsically-enforced standards for the craft and quality of your work; an eagle eye for imperfection and rough edges (you complain before our customers do).
Eagerness and comfort to wear many hats in service of a world-class developer experience.
Perplexity is seeking a Business Development Manager to build and scale our enterprise BDR team. In this role, you will hire, coach, and lead a team of BDRs generating qualified pipeline for our Enterprise Account Executives. This role is ideal for a hands-on sales leader who has built pipeline generation functions before and wants to shape the outbound motion of one of the fastest-growing enterprise businesses in AI.
Hire, onboard, and coach a team of BDRs, establishing the ramp plan, operating cadence, and performance bar
Own the BDR contribution to sourced pipeline and qualified opportunities
Design and iterate the outbound playbook, including account targeting, vertical messaging, and multi-channel prospecting
Partner with Enterprise AEs on account planning, lead routing, and handoff quality
Build vertical fluency on the team so reps can hold credible conversations with buyers in industries such as Financial Services, Legal, Life Sciences, and Consulting
Coach reps to position Perplexity's full product suite, matching the right entry point to each account
Run the operating rhythm: weekly 1:1s, call and message reviews, pipeline inspection, and a clear performance scoreboard
Collaborate with Sales, Marketing, RevOps, and Strategic Finance on lead quality, source attribution, and compensation design
Develop BDRs into future Account Executives and build a strong internal talent pipeline
4+ years in SaaS sales or business development, including 1 to 2+ years directly managing a BDR or SDR team
Proven track record of building or scaling a pipeline generation team in a high-growth environment
Prior closing experience strongly preferred
Skilled at coaching reps on outbound prospecting, qualification, and executive engagement
Data-driven operating style with the ability to define, track, and improve conversion metrics
Experience with modern prospecting tools and AI-native sales workflows
Exceptional written and verbal communication; comfortable engaging with senior stakeholders internally and externally
Experience with CRM systems (e.g. Salesforce)
Bachelor's degree or equivalent experience
The cash compensation for this role is $180-240k OTE based on experience level.
","descriptionPlain":"Perplexity is seeking a Business Development Manager to build and scale our enterprise BDR team. In this role, you will hire, coach, and lead a team of BDRs generating qualified pipeline for our Enterprise Account Executives. This role is ideal for a hands-on sales leader who has built pipeline generation functions before and wants to shape the outbound motion of one of the fastest-growing enterprise businesses in AI.\n\n\n\n\nRESPONSIBILITIES\n\n - Hire, onboard, and coach a team of BDRs, establishing the ramp plan, operating cadence, and performance bar\n\n - Own the BDR contribution to sourced pipeline and qualified opportunities\n\n - Design and iterate the outbound playbook, including account targeting, vertical messaging, and multi-channel prospecting\n\n - Partner with Enterprise AEs on account planning, lead routing, and handoff quality\n\n - Build vertical fluency on the team so reps can hold credible conversations with buyers in industries such as Financial Services, Legal, Life Sciences, and Consulting\n\n - Coach reps to position Perplexity's full product suite, matching the right entry point to each account\n\n - Run the operating rhythm: weekly 1:1s, call and message reviews, pipeline inspection, and a clear performance scoreboard\n\n - Collaborate with Sales, Marketing, RevOps, and Strategic Finance on lead quality, source attribution, and compensation design\n\n - Develop BDRs into future Account Executives and build a strong internal talent pipeline\n\n\nQUALIFICATIONS\n\n - 4+ years in SaaS sales or business development, including 1 to 2+ years directly managing a BDR or SDR team\n\n - Proven track record of building or scaling a pipeline generation team in a high-growth environment\n\n - Prior closing experience strongly preferred\n\n - Skilled at coaching reps on outbound prospecting, qualification, and executive engagement\n\n - Data-driven operating style with the ability to define, track, and improve conversion metrics\n\n - Experience with modern prospecting tools and AI-native sales workflows\n\n - Exceptional written and verbal communication; comfortable engaging with senior stakeholders internally and externally\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 $180-240k OTE based on experience level.","compensation":{"compensationTierSummary":"$180K – $240K","scrapeableCompensationSalarySummary":"$180K - $240K","compensationTiers":[{"id":"7bbd1724-623a-4257-a883-17fc5453d038","tierSummary":"$180K – $240K","title":null,"additionalInformation":null,"components":[{"id":"36959e50-aab6-40f9-b125-0d8dafabb152","summary":"$180K – $240K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":240000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":240000}]}},{"id":"32a36cae-ad73-4198-9354-a72b141ff055","title":"Member of Technical Staff (Secure Intelligence Institute)","department":"AI Research & Systems","team":"AI Research & Systems","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-21T22:12:42.777+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/32a36cae-ad73-4198-9354-a72b141ff055","applyUrl":"https://jobs.ashbyhq.com/perplexity/32a36cae-ad73-4198-9354-a72b141ff055/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.
Perplexity is seeking a GTM Strategy & Operations Lead to join our Enterprise team. In this role, you will own the analytical and operational foundation of our sales organization, working directly with the VP of Sales and front-line sales leaders across all of our sales motions. This role is ideal for a hands-on operator who has helped a sales organization grow through its messiest stages and wants to build the planning, forecasting, and performance infrastructure for one of the fastest-growing enterprise businesses in AI.
This is an individual contributor role reporting to the VP of Sales
Responsibilities
Run the GTM operating cadence, including weekly pipeline reviews, forecast calls, and quarterly business reviews, owning both the underlying data and the narrative
Build and own the sales forecasting process, giving leadership an accurate and defensible view of the quarter
Design and maintain territory and segment models across all sales motions, and own the territory carve process
Build sales capacity, coverage, and quota models that connect hiring plans to revenue targets
Own performance reporting across the funnel: conversion, pipeline health, rep productivity, attainment, and ramp
Conduct strategic analyses to identify where the business is working and where it is not, and turn findings into clear recommendations for sales leadership
Drive high-priority cross-functional GTM initiatives, from annual planning through execution
Partner with Sales, Marketing, Customer Success, and Strategic Finance to keep the go-to-market plan grounded in shared data
Qualifications
Significant experience in GTM strategy, sales operations, revenue operations, or a similar function at a high-growth company, with direct exposure to what breaks as a sales team scales and a record of fixing it
Strong SQL and hands-on analytical skills; you pull your own data and build your own models rather than waiting on analyst support
Deep familiarity with Salesforce and experience working directly in a data warehouse such as Snowflake
Proven ability to run an operating cadence with senior sales leaders and hold the organization to it
Skilled at structuring ambiguous problems and communicating recommendations clearly to executives
Comfortable moving between long-range planning and same-day operational questions
Exceptional written and verbal communication; comfortable presenting to senior stakeholders
Bachelor's degree or equivalent experience
Nice to Haves
Experience operating a usage-based or consumption business model, where forecasting and planning go beyond seat counts
Background in management consulting, strategic finance, or corporate strategy prior to an operating role
Experience at an AI or enterprise infrastructure company
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, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done.
You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship.
You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.
Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops.
Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately.
Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt.
Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting.
Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations.
Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces.
Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time.
6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated.
Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you.
Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use.
Production-oriented Python ability - you can build and ship working tools, wrangle APIs, evaluate model outputs, deploy services, and write code others can maintain.
Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail.
Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems.
Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate.
Autonomy - this is a new function. You'll help define the roadmap as much as execute it.
Experience building production AI agents or agent evaluation systems.
Experience with Snowflake, semantic layers, or metadata systems.
Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used.
Strong experimentation background, including metric design and statistical interpretation.
Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed.
Early-stage startup experience.
Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark.
Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data.
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 an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made.
Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious.
Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data.
At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers.
As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform.
Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating
Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure
Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales
Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring
Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases
Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel
Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities
Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not
Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks
Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close
Create urgency, write crisp follow-ups, and know when to push and when to wait
3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate
5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure
Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management
Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested
Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics
Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation
Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives
High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists
JD and bar admission
Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs
Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar
Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review
Founder or early-startup operating experience
Strong network across AmLaw 100 firms and Fortune 500 legal departments
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
","descriptionPlain":"Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made.\n\n\n\nThroughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious.\n\n\n\nABOUT THE ROLE\n\nPerplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data.\n\n\n\nAt the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers.\n\n\n\nAs an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform.\n\n\nRESPONSIBILITIES\n\n\nOWN STRATEGIC LEGAL ENGAGEMENTS\n\n - Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating\n\n - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure\n\n - Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales\n\n\nBE THE DEMO AND TECHNICAL PROOF ENGINE\n\n - Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring\n\n - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases\n\n - Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel\n\n\nBRING DOMAIN JUDGMENT TO THE PRODUCT\n\n - Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities\n\n - Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not\n\n - Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks\n\n\nOPERATE AS THE COMMERCIAL LEAD\n\n - Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close\n\n - Create urgency, write crisp follow-ups, and know when to push and when to wait\n\n\nQUALIFICATIONS\n\n - 3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate\n\n - 5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure\n\n - Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management\n\n - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested\n\n - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics\n\n - Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation\n\n - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives\n\n - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists\n\n\nNICE-TO-HAVES\n\n - JD and bar admission\n\n - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs\n\n - Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar\n\n - Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review\n\n - Founder or early-startup operating experience\n\n - Strong network across AmLaw 100 firms and Fortune 500 legal departments\n\n\n\nIf you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.","compensation":{"compensationTierSummary":"$215K – $250K • Offers Equity","scrapeableCompensationSalarySummary":"$215K - $250K","compensationTiers":[{"id":"9491524d-824a-41a5-ad98-ef7203417f81","tierSummary":"$215K – $250K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"f8ffffe7-0fc0-437b-b74c-3db9660cb7dc","summary":"$215K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":215000,"maxValue":250000},{"id":"1c2bd1e7-4acc-4972-b292-5ab68b20d04c","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":215000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"31dfcb60-a0df-4983-b3a4-d653cdc0aa8f","title":"AI Strategist, Financial Services","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-07-23T23:01:27.682+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/31dfcb60-a0df-4983-b3a4-d653cdc0aa8f","applyUrl":"https://jobs.ashbyhq.com/perplexity/31dfcb60-a0df-4983-b3a4-d653cdc0aa8f/application","descriptionHtml":"Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made.
Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious.
Perplexity is building the AI platform for professional finance: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the market data, filings, transcripts, and research that investment professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured financial data.
At the center of this is our Applied AI / Forward Deployed motion: we work closely with buyside firms—hedge funds, private equity, and asset managers—to distill their core investment processes and embed them into bespoke solutions built on our platform. That means sitting with analysts and PMs to understand how they screen, diligence, monitor, and decide, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers.
As an AI Strategist on our Applied AI team focused on financial services, you are the subject matter expert who makes this real for investment professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real investment workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the deal team and the language of the platform.
Lead discovery with banks, PE firms, hedge funds, and asset managers: what matters to the investment team, what problems they are solving, and which workflows are worth automating
Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure
Drive deployment and rollout across front-office teams, with real revenue responsibility alongside Sales
Build and deliver compelling, workflow-specific demonstrations: screening, comps, diligence, earnings analysis, research synthesis, portfolio monitoring
Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases
Run pilots and evaluations that hold up to scrutiny from skeptical analysts and PMs
Translate how deal teams, research desks, and portfolio managers actually work into product, connector, and data-partnership priorities
Assess whether we have the right market data, filings, transcripts, and research integrations to serve each finance sub-vertical—and drive the roadmap where we do not
Codify repeatable engagement patterns: discovery templates, finance-specific reference workflows, demo libraries, and deployment playbooks
Own senior relationships with investment professionals and technology leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close
Create urgency, write crisp follow-ups, and know when to push and when to wait
3+ years of direct experience in investment banking, private equity, hedge funds, equity research, or institutional asset management—you have built models, written memos, and lived the workflows you will now automate
6+ years of total experience spanning finance and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure
Deep fluency in front-office workflows: screening, comps, diligence, earnings, research synthesis, portfolio construction and monitoring
Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested
Comfortable working shoulder-to-shoulder with Forward Deployed Engineers and technical teams: scoping builds together, pairing on prototypes, and translating customer requirements into engineering-ready specs
Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics
Strong commercial instincts and comfort operating with MDs, partners, PMs, CIOs, and CTOs
Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives
High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists
Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs
Working knowledge of institutional data platforms: FactSet, Bloomberg, S&P Capital IQ, PitchBook, Morningstar, or similar
Experience selling or deploying technology into regulated financial institutions, including security and compliance review
Founder or early-startup operating experience
Strong network across buy-side and sell-side institutions
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
","descriptionPlain":"Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made.\n\n\n\nThroughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious.\n\n\nABOUT THE ROLE\n\nPerplexity is building the AI platform for professional finance: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the market data, filings, transcripts, and research that investment professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured financial data.\n\n\n\nAt the center of this is our Applied AI / Forward Deployed motion: we work closely with buyside firms—hedge funds, private equity, and asset managers—to distill their core investment processes and embed them into bespoke solutions built on our platform. That means sitting with analysts and PMs to understand how they screen, diligence, monitor, and decide, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers.\n\n\n\nAs an AI Strategist on our Applied AI team focused on financial services, you are the subject matter expert who makes this real for investment professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real investment workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the deal team and the language of the platform.\n\n\nRESPONSIBILITIES\n\n\nOWN STRATEGIC FINANCIAL-SERVICES ENGAGEMENTS\n\n - Lead discovery with banks, PE firms, hedge funds, and asset managers: what matters to the investment team, what problems they are solving, and which workflows are worth automating\n\n - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure\n\n - Drive deployment and rollout across front-office teams, with real revenue responsibility alongside Sales\n\n\nBE THE DEMO AND TECHNICAL PROOF ENGINE\n\n - Build and deliver compelling, workflow-specific demonstrations: screening, comps, diligence, earnings analysis, research synthesis, portfolio monitoring\n\n - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases\n\n - Run pilots and evaluations that hold up to scrutiny from skeptical analysts and PMs\n\n\nBRING DOMAIN JUDGMENT TO THE PRODUCT\n\n - Translate how deal teams, research desks, and portfolio managers actually work into product, connector, and data-partnership priorities\n\n - Assess whether we have the right market data, filings, transcripts, and research integrations to serve each finance sub-vertical—and drive the roadmap where we do not\n\n - Codify repeatable engagement patterns: discovery templates, finance-specific reference workflows, demo libraries, and deployment playbooks\n\n\nOPERATE AS THE COMMERCIAL LEAD\n\n - Own senior relationships with investment professionals and technology leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close\n\n - Create urgency, write crisp follow-ups, and know when to push and when to wait\n\n\nQUALIFICATIONS\n\n - 3+ years of direct experience in investment banking, private equity, hedge funds, equity research, or institutional asset management—you have built models, written memos, and lived the workflows you will now automate\n\n - 6+ years of total experience spanning finance and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure\n\n - Deep fluency in front-office workflows: screening, comps, diligence, earnings, research synthesis, portfolio construction and monitoring\n\n - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested\n\n - Comfortable working shoulder-to-shoulder with Forward Deployed Engineers and technical teams: scoping builds together, pairing on prototypes, and translating customer requirements into engineering-ready specs\n\n - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics\n\n - Strong commercial instincts and comfort operating with MDs, partners, PMs, CIOs, and CTOs\n\n - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives\n\n - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists\n\n\nNICE-TO-HAVES\n\n - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs\n\n - Working knowledge of institutional data platforms: FactSet, Bloomberg, S&P Capital IQ, PitchBook, Morningstar, or similar\n\n - Experience selling or deploying technology into regulated financial institutions, including security and compliance review\n\n - Founder or early-startup operating experience\n\n - Strong network across buy-side and sell-side institutions\n\n\n\nIf you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.","compensation":{"compensationTierSummary":"$215K – $250K • Offers Equity","scrapeableCompensationSalarySummary":"$215K - $250K","compensationTiers":[{"id":"a277d51a-1b05-4b77-bbee-26b677b831bc","tierSummary":"$215K – $250K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"832c1107-40ab-491e-ab29-1e1e02ea06d9","summary":"$215K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":215000,"maxValue":250000},{"id":"0c44f47b-26da-4266-8d7a-5799e3a052e2","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":215000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"8ede25ea-9212-4007-bb99-feae4d1a3014","title":"Program Manager, Talent Acquisition","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-23T23:04:37.788+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/8ede25ea-9212-4007-bb99-feae4d1a3014","applyUrl":"https://jobs.ashbyhq.com/perplexity/8ede25ea-9212-4007-bb99-feae4d1a3014/application","descriptionHtml":"Perplexity is scaling at a pace few companies ever experience, and talent is the surface where our biggest bets get won or lost. We're hiring a Program Manager to sit at the center of that motion, owning the mission-critical, cross-functional programs that shape how we plan, prioritize, and hire.
This is a uniquely visible seat, reserved for operators who thrive in ambiguity and have a track record of driving companywide initiatives to measurable outcomes. You'll work shoulder-to-shoulder with recruiting leadership, executives, and cross-functional partners to architect the systems, operating rhythms, and decision-making frameworks that let the company move faster and with more clarity. When a complex, high-stakes program needs an owner, you're the person leadership turns to.
What You'll Do
Own Perplexity's most consequential talent programs end-to-end, from ambiguous mandate to shipped outcome
Partner directly with executives and recruiting leadership to turn strategy into programs with clear owners, milestones, and accountability
Drive cross-functional initiatives across Recruiting, People, Finance, and business leadership, aligning stakeholders and clearing blockers before they escalate
Design the operating cadence of the org: planning cycles, prioritization, reporting rhythms, and executive updates that keep leadership decisive
Build the systems, tooling, and workflows that let recruiting scale, automating the repetitive so human judgment goes to the highest-leverage work
Stand up the metrics and dashboards that turn hiring data into faster, sharper decisions
Anticipate risk on the highest-visibility programs, communicate crisply under pressure, and drive to resolution when priorities shift
Set the bar for program excellence and codify repeatable playbooks the rest of the company can adopt
What You Bring
7+ years of program or project management experience, including ownership of companywide, mission-critical initiatives
Direct experience partnering with and presenting to executives on high-stakes, cross-functional work
Track record of driving ambiguous programs to measurable outcomes in fast-paced, rapidly scaling environments
Operational rigor. You build order out of chaos and design systems that outlast you
Strong analytical instincts, with the ability to structure messy data into clear direction for leadership
Sharp communication and stakeholder judgment, with the discretion to operate on sensitive, high-visibility work
A builder's mindset and a bias for action, aligned with Perplexity's ethos of building what hasn't been built before
Recruiting, talent, or People-org program experience is a plus, but we're optimizing for the best operators first
Perplexity is seeking creative, AI native engineers to join our Enterprise Adoption team. Our company is reshaping the way people interact with AI agents within organizations. The Enterprise Adoption team's mandate is to continually uplevel the way our company and our customers use Perplexity Computer as the instrument of that transformation to deliver new ways of working in the agentic future.
Just as Perplexity is heralding an agentic future for the internet, you will ensure that the company makes our AI tools and agents a perfect fit for our growing Enterprise business. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Some of your users will be our own teams, from recruiting and go-to-market to finance, legal, support, and operations, and you will engineer the core systems that make Computer an indispensable multiplier of their craft. Learnings from our internal teams will also be applied for our enterprise customers, bringing frontier AI working patterns to external organizations.
Identify, prioritize, and execute on the highest-potential opportunities to make Computer transformative for every team at Perplexity, building the core systems that bring those opportunities within reach.
Develop empathy for the nuances of our technical and business teams' work across disciplines and verticals (recruiting, sales, finance, support, legal, and operations), toward collaborating with them to harness AI in new ways.
Make our knowledge stores, systems, and human-orchestrated processes legible to Computer, engineering the connectors, skills, and evaluation infrastructure that unlock each team's use cases at scale.
Close the loop between internal usage and the Computer product itself, translating the friction and triumphs of real work into core product and platform improvements.
Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn any process need into simple, reliable product experiences in Computer.
4+ years of professional software engineering experience. Familiarity with building platforms for enterprise or internal users is a plus.
Daily use of AI models/tools, with strong knowledge on the latest frontier.
Proficiency with Python, along with experience and/or TypeScript, Go, and other languages.
Strong understanding of the work of non-technical staff across enterprises, along with a curiosity about the work of business and operations teams, who will be your users.
Broad working knowledge of the modern AI agent stack (agents, connectors, context engineering, and evals), along with strong intuition for where today's agents shine and where they fall down. (For example: you don't need to have authored an MCP server, but you should know what MCP is and when/where/why it's used.)
Strong product judgement, you can make decisions that will simplify the agent user experience for customers with a range of technical abilities.
Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build harnesses and AI systems powering delightful agentic experiences. These experiences include Perplexity Computer (our platform for generalized frontier intelligence), the Comet ecosystem, our Agent API, and more.
Our vision is to empower our users with 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.
Engineer agent harnesses that connect powerful models with the environments and tools required to perform economically valuable work for users.
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 Design Engineer to help turn perplexity.com into a real growth engine, not a pile of one-off pages. You'll sit shoulder to shoulder with brand designers, PMMs, growth, and content teams, shipping product launch pages, campaign landing pages, and the components and tooling that let those teams move fast without lowering the bar.
This is a hands-on role for someone with real taste, sharp attention to detail, and the speed to turn a Figma file, a Slack thread, or a rough sketch into a polished, shipped page quickly.
Tech stack: React, TypeScript, Tailwind CSS, Sanity
Ship product launch pages and evergreen marketing pages for products like Comet, Computer, Deep Research, Search, and Hub. Own the work from Figma handoff to production.
Partner with brand designers to build interactive experiences that make the site feel alive and drive engagement.
Maintain and extend our brand design system and component library, keeping Figma and production in sync so brand and creative can scaffold pages with guardrails.
Work closely with the paid ads and growth teams to run A/B tests on landing pages, popups, and upsell modules. Read the results, then iterate.
Migrate the leftover Framer collections to Sanity, model schemas that non-engineers can actually use, and help ship new content types like changelog, customer stories, and academy pages.
Design and unblock yourself when design resources are constrained. You can take a rough direction and turn it into something worth shipping.
Improve the tools around the work: CMS workflows, i18n, SEO, experimentation, and internal tooling for marketing self-serve. If a manual process is slowing the team down, you should want to fix it.
3+ years of experience as a front-end or design engineer, ideally on a marketing or growth site.
A portfolio site that shows your previous work on marketing sites and design work.
Strong skills in React, CSS, and modern frameworks.
Deep understanding of responsive design and design-to-code workflows. You know what the platform can do and you stay current on what's new.
Experience maintaining a reusable component library and sweating the design details in code.
A real eye for design. You can tell the difference between \"almost right\" and \"actually right,\" and your work reflects it.
Attention to detail that shows up unprompted. The 2px misalignment, the wrong easing curve, the widow at the end of the paragraph.
Stellar communication skills and a track record of working effectively in cross-functional teams. You can defend a decision, push back constructively, and explain trade-offs to non-technical stakeholders.
Desire to work in a fast-paced environment, continuously grow, and master your craft.
Experience running A/B tests and reading experiments results in a growth context.
Knowledge of SEO principles, structured data, and localization workflows.
Experience with web animations (GSAP, Motion, Web Animations API), 3D libraries, or interactive storytelling.
Experience working with a headless CMS (Sanity, Contentful).
Experience building internal tools or AI-assisted workflows that made a marketing or design team faster.
We're looking for a dynamic, highly organized Recruiting Coordinator to help us scale our team without ever compromising on experience. This is a high-velocity role at the heart of our hiring engine. You'll keep dozens of moving parts in sync, bring order to ambiguity, and make every candidate and hiring partner feel like they're our only priority. If you thrive when the path isn't fully mapped out, move fast without dropping details, and genuinely care about how people are treated, you'll do great here.
Contract Details:
Rate: $40 - $43 per hour
Hours: 40 hours per week
Hybrid work schedule: In-office M/W/F
Own the end-to-end candidate experience, making every interaction from first touch to final decision, feel seamless, human, and high-touch
Coordinate and schedule interviews across complex calendars, time zones, and competing priorities, keeping things moving at speed
Serve as a trusted partner to recruiters, interviewers, and hiring managers, anticipating needs, communicating proactively, and making their jobs easier
Operate independently in ambiguity: spot gaps, make judgment calls, and create structure where none exists yet
Identify, initiate, and drive projects that improve and scale our recruiting processes as the team grows
Manage logistics, administrative tasks, and ad-hoc recruiting support with accuracy and urgency
Continuously look for ways to raise the bar on both the external candidate experience and the internal stakeholder experience
1-3 years of experience as either a Recruiting Coordinator, Administrative Assistant, or any adjacent role dealing with high volume scheduling
Comfort operating in ambiguity. You take initiative, make decisions with incomplete information, and don't wait to be told what to do
A natural high-velocity operator who moves quickly without sacrificing accuracy or attention to detail
Exceptional organizational skills and the ability to juggle multiple priorities simultaneously without losing the thread
Strong verbal and written communication skills, with proactive, clear, and warm follow-through
Ability to work independently and collaboratively, adapting fast in a rapidly changing startup environment
Proficiency with various ATSs (Ashby preferred)
We're hiring software engineers for the Model Behavior team to help shape how Perplexity’s AI products behave: the style of their responses, and the way they use tools, skills, and memory. The team designs prompt and context engineering strategies to deliver high-quality user experiences across multiple domains and models.
The ideal candidate for this role has a strong software engineering background, and an analytical, experiment-driven approach to solving challenging problems. You’ll work on context and prompt engineering to shape model behavior and style, and to guide how models use tools, skills, and memory across our products.
Context Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. Build self-improvement loops to steer the prompt, improve tool/skill use, and improve the ability to draw on memory.
Model Releases: Help experiment with and release new models.
Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects, for both internal and production systems.
Knowledge Sharing: Help engineers across teams build intuition for prompt design and context engineering best practices.
Staying Current: Track the latest prompting, context engineering, and alignment techniques from industry and academia, and bring the best ideas back to the team.
2 to 10+ years of experience in software engineering or research.
Strong background in software engineering fundamentals, and a technical understanding of LLM-driven and agentic systems.
Experience shaping LLM behavior through prompts, tool and skill design, or memory systems.
Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders.
Recent experience working on modern LLM-driven products.
Experience working across teams or with external partners.
Experience designing evaluations or benchmarks for AI systems.
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade.
As an Android growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on Android. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation.
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 growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on Android.
Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release.
Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments.
Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn.
Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android
Partner with rest of Growth to optimize app store performance and attribution
Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts.
Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces.
3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on Android.
Strong native skills — Kotlin/Jetpack Compose — and the willingness to flex into other parts of the stack to unblock yourself and others.
Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely.
Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app.
Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data.
Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
Genuine interest and adoption of AI products and willingness to learn quickly.
Direct experience on a growth or experimentation-heavy team
Deep experience with in-app payments
Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition.
ASO experience, including store listing experiments and localized metadata.
Comfort reaching into the backend or web stack to unblock yourself end-to-end.
Time spent at a fast-growing startup or on a high-ownership engineering team.
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade.
As a mobile growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on iOS. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation.
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 growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on iOS.
Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release.
Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments.
Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn.
Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android
Partner with rest of Growth to optimize app store performance and attribution
Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts.
Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces.
3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on iOS.
Strong native skills (eg. Swift/SwiftUI/Objective-C) — and the willingness to flex into other parts of the stack to unblock yourself and others.
Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely.
Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app.
Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data.
Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
Genuine interest and adoption of AI products and willingness to learn quickly.
Direct experience on a growth or experimentation-heavy team
Deep experience with in-app payments
Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition.
ASO experience, including store listing experiments and localized metadata.
Comfort reaching into the backend or web stack to unblock yourself end-to-end.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Perplexity is looking for a dynamic and innovative contributor to join our team to help advance the business, improve the products we’re building, and revolutionize the way people search and interact with the internet. This unique role offers significant responsibility to apply and strengthen your technical background and combine your legal experience, and offers growth potential in other areas of an in-house practice group.
We seek a technical lead to join our legal operations team to drive infrastructure development across our legal and operations team and support our ambitious growth trajectory within our rapidly growing AI technology company. This unique role will report to the Legal Operations Manager and partner with the General Counsel and VP, Operations on strategic planning, architecting, delivering, and transforming high-volume legal workflows into scalable, automated systems. We're seeking a sharp, innovative technical operations professional with strong business judgment, practical problem-solving skills, and a deep understanding of high-growth startup environments. Ideally, this person also brings legal expertise alongside technical know-how. You’ll build scalable processes and establish foundational systems that will scale with our growth. Success requires someone who is inquisitive, has entrepreneurial drive, and the agility to thrive in our fast-paced environment while shaping our non-technical orgs from the ground up at a cutting-edge AI technology company.
Architect and build Perplexity's Legal and Operations Engineering platform — a coherent stack of agents, workflows, and evaluation infrastructure that replaces manual, high-volume legal work across commercial contracting, e-discovery, enterprise redlining, subsidiary governance, vendor onboarding, and litigation and matter management.
Own the enterprise contracting automation system end-to-end.
Ship the in-product legal surfaces built on Perplexity and Computer itself
Consolidate today's ad-hoc legal bots, prompts, and scripts into a documented, observable, and reusable platform with clear conventions for personas, tools, evals, guardrails, and human-in-the-loop patterns.
Serve as the technical partner to the General Counsel. Translate complex, judgment-heavy legal workflows into engineered systems, and translate engineering constraints back to non-technical stakeholders.
Evaluate, retire, or replace third-party tools where a purpose-built internal system gives us a structural advantage.
Be the case study for forward-deployed engineering in non-engineering functions at Perplexity. Success here becomes the playbook for Legal, Recruiting, People, Workplace, and Operations.
7+ years of backend software engineering experience with a track record of shipping production systems at meaningful scale.
A working knowledge of legal concepts, with some experience in legal operations or paralegal work is desired.
Strong business judgment and practical problem-solving; comfortable making operational calls with incomplete information and calibrating risk in real time.
Track record building scalable processes and foundational systems from scratch, not maintaining a mature function.
Fluency with modern legal tech and AI tools; disciplined human-in-the-loop practices.
Excellent written and verbal communication; ability to work directly with senior legal, finance, and executive stakeholders.
Entrepreneurial drive, intellectual curiosity, and agility to thrive in an ambiguous, fast-moving environment.
Prior experience at an AI-native, SaaS, or consumer technology company operating at Perplexity’s pace.
Familiarity with e-billing platforms (e.g., Brightflag), matter management, CLM, and entity management systems.
Comfort with ambiguity, rapid context-switching, and a builder mentality.
Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads.
Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure.
Operate the GPU fleet. Own provisioning, lifecycle management, reliability, and capacity integration across providers, giving teams a consistent way to use compute regardless of where it runs.
Solve for GPU scarcity. Build the scheduling and placement logic that finds available capacity across providers, packs it efficiently, and gets the right workload onto the right hardware under real constraints.
Support two very different workloads. Keep long-running distributed training jobs healthy while simultaneously guaranteeing the availability and latency of production inference services on the same fleet.
Own the Kubernetes for GPU orchestration. Write the operators and CRDs, and manage many clusters across providers so the platform behaves the same everywhere we run.
Make failure boring. Build the fault tolerance, autoscaling, and observability that keep the fleet utilized and let workloads survive node loss, provider hiccups, and capacity shifts without human intervention.
Set technical direction across teams. Partner with inference and cloud infrastructure engineers to turn operational constraints into a coherent platform architecture and roadmap.
We expect you to have real depth in most of these:
Deep Kubernetes experience — custom operators, CRDs, and multi-cluster federation, not just running kubectl apply.
You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE).
You've orchestrated compute across multiple clouds (CoreWeave, AWS, GCP, or similar) and understand how different each one really is.
Strong distributed systems fundamentals: scheduling, resource allocation, and fault tolerance under load.
You write infrastructure and systems-level code in Go, Rust or C++.
You've supported both long-running training jobs and high-availability inference services, and you know why they pull infrastructure in opposite directions.
You own problems end-to-end and do well when the path forward isn't laid out for you.
Inference serving stacks: vLLM, SGLang, or TensorRT-LLM.
Slurm or other HPC schedulers.
GPU kernel work in CUDA or Triton — not required, but notable.
High-speed interconnects: InfiniBand, RoCE, or RDMA in production.
Observability for ML workloads: Prometheus, Grafana, or Weights & Biases.
At Perplexity, we're changing how the world finds answers. In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and our revenue operations team builds the processes and systems that help bring those products to businesses around the world.
We're looking for a Revenue Operations Analyst who wants to do more than maintain a CRM or produce reports. This is an early, high-impact role where you'll work at the forefront of process, execution, and systems for our enterprise go-to-market organization. You will help determine how demand is attributed, how leads and accounts are routed, how opportunities move through the funnel, and how the business measures performance.
You will work directly with Sales, Marketing, Customer Success, Finance, Analytics, and Enterprise Systems to turn strategy into clean day-to-day execution. We give our operations team the same AI tools we build for everyone else, and we expect you to use them to eliminate manual work, identify issues, and improve how the revenue organization operates.
Own and improve the day-to-day processes that move leads, accounts, contacts, and opportunities through the revenue funnel
Maintain accurate attribution across inbound, outbound, product-led growth, partner, referral, and event motions
Run and improve lead, account, and opportunity routing, including territory rules, ownership logic, rules of engagement, and exception handling
Build and maintain Salesforce reports, dashboards, fields, flows, validation rules, and other process configuration
Support pipeline reviews and forecasting by improving opportunity hygiene, stage accuracy, close dates, next steps, and follow-through
Build reporting across funnel conversion, pipeline health, source performance, rep productivity, and operational SLAs
Investigate and resolve data quality issues across Salesforce, Snowflake, marketing systems, sales engagement tools, and product usage data
Use Computer and other AI tools to automate research, enrichment, routing, pipeline inspection, quality assurance, documentation, and repetitive operational work
Partner with Sales Systems Engineering on larger integrations and technical projects, while owning business requirements, testing, rollout, and adoption
Document processes, train users, and provide fast operational support to sales representatives and front-line leaders
3+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, Business Systems, or a similar role at a high-growth B2B company
Hands-on Salesforce experience, including reports, dashboards, data models, flows, validation rules, and process configuration
Strong SQL and analytical skills, with the ability to pull your own data, reconcile discrepancies, and translate findings into action
A strong understanding of B2B sales processes, including attribution, routing, account ownership, opportunity stages, pipeline inspection, and forecasting inputs
Sharp troubleshooting instincts and the ability to trace an operational problem across process, data, systems, and user behavior
A track record of leading operational projects from problem definition through rollout with minimal supervision
Clear communication, strong attention to detail, and a genuine interest in using AI to automate away busywork
Perplexity is seeking its first Sales Enablement hire to build the function for our Enterprise, Commercial, and BDR teams. Our sales org is growing quickly and selling a product that evolves almost every week to buyers who range from IT and security to legal, research, and the C-suite. This role owns how sellers ramp, how they tell the Perplexity story, and how they get better every quarter.
This is an individual contributor role reporting into Sales leadership. It is hands-on: you will set the strategy and also write the onboarding curriculum, record the demo, build the battlecard, and run the Friday call review. You will partner closely with Sales leadership, AI Strategists, Product, Product Marketing, Revenue Operations, and Strategic Finance.
Onboarding and ramp
Design and run a repeatable onboarding program for new BDRs, Commercial AEs, and Enterprise AEs, with a defined bar for what \"ramped\" means at each role and clear ramp-time targets
Own the first 30/60/90 for every new seller, including product certification, pitch and demo certification, tooling proficiency, and territory readiness
Build in feedback loops so every cohort improves the next one
Messaging, pitch, and demo
Codify the Perplexity Enterprise, Commercial, and API pitch into a single, current, opinionated narrative that every seller can deliver the same way
Build and maintain the standard demo flow for each product surface (Enterprise Pro, Computer, API) and keep it current as the product ships
Partner with Product Marketing on positioning, use cases, buyer personas, and vertical narratives (Financial Services, Legal, Healthcare, Consulting, and others as they emerge)
Ongoing enablement and coaching
Run a regular enablement cadence (weekly rep-facing sessions, monthly deep dives, quarterly kickoffs) driven by what the field actually needs
Build a live call-review and coaching program with Sales leadership, using recorded calls to reinforce what good looks like and surface where reps are getting stuck
Own the enablement content library — playbooks, talk tracks, discovery questions, objection handles, competitive battlecards, ROI framing — and keep it usable, current, and findable
Product-to-field translation
Sit close to Product to translate each release into \"what this means for the field\": what to say, who to say it to, when to bring it up, and what proof to lean on
Build a launch process that turns product updates into field readiness quickly and consistently
Sales methodology and skill development
Partner with Sales leadership to select and operationalize the qualification and deal-management framework that fits Perplexity's motion — training, reinforcement, coaching, and inspection
Build role-specific skill programs (discovery, multi-threading, negotiation, executive presence, technical selling to IT and security buyers)
Measurement and iteration
Define what enablement is accountable for: ramp time to first deal, pitch and demo certification pass rates, win rate on contested deals, content adoption, and manager coaching consistency
Report against those metrics and kill programs that do not move them
6+ years in sales enablement, sales training, sales operations, or a quota-carrying / sales-adjacent role at a B2B software company, with clear ownership of a program you built end to end
A track record of building or scaling enablement from zero or near-zero — you have been the first or second enablement hire before, or you have owned a function that ran like one
Strong instincts for sales messaging and translating a complex, fast-moving technical product into a story that sellers can tell and buyers can act on
Fluency running coaching and call reviews with sellers and Sales leadership — you can spot what a rep needs from listening to five minutes of a call
Ability to work cross-functionally with Sales leadership, Product, Product Marketing, Revenue Operations, and Strategic Finance
Bachelor's degree or equivalent practical experience
Willingness to be in the San Francisco or New York office four days per week
Experience at a Series B–D company selling a fast-changing product to a mix of technical and business buyers
Background enabling both direct sales and a self-serve to enterprise motion
Experience selling or enabling into AI, developer tools, search, or enterprise infrastructure
Familiarity with modern enablement and revenue tooling (CRM, LMS, conversation intelligence, content management)
Previous time as an AE, SDR, or SC before moving into enablement
We are seeking a dynamic and detail-oriented People Operations Coordinator to join our growing team. This role is crucial in supporting our organization's people-centric initiatives and ensuring a positive employee experience from recruitment to offboarding.
This role offers an exciting opportunity to contribute to the growth and development of our organization's most valuable asset - our people. The ideal candidate will be passionate about creating an exceptional employee experience and thrive in a dynamic, fast-paced environment.
Requirements
Maintain and enhance our onboarding process to engage and inspire our new team members before day one and beyond
Help with coordination for team culture events and activities to foster a positive work environment
Maintain accurate employee data in HRIS and other people systems
Provide administrative support for various HR processes, including benefits administration, leave management, and employee record-keeping
Work with the IT, Finance, and Workplace teams to ensure a seamless transition for onboarding and offboarding, communicating changes to information and updating various systems
Respond to employee inquiries and assist with basic HR-related questions and requests
Support additional People Operations processes as needed, such as recruitment administration, HR reporting, and compliance updates
Qualifications
Strong organizational skills and attention to detail, with the ability to manage multiple tasks efficiently; resourceful problem solving skills
Excellent presentation and communication skills, with a focus on providing great customer service to employees
Basic understanding of HR practices and eagerness to learn more about people operations
Responsible and positive work attitude with the ability to deal with differing personalities
Bachelor’s degree and 2-3 years of experience in a People or HR-related role
Fluency or ability to learn our People tech stack: Google Apps, Slack, Ashby, Rippling, Envoy
Perplexity is looking for engineers who want to put planet-scale search in the hands of every developer and every agent. The API Platform is one of the fastest-growing surfaces of the company, and the team behind it owns all of it. The Search API, the Agent API, agent first SDKs, docs - from the request path to the developer experience. You'll work at the boundary where Perplexity's infrastructure meets the outside world, and you'll shape what that boundary looks like as agents become the dominant consumers of APIs.
We build with AI, for people who build with AI. If you spend your days working alongside frontier models and tooling, you already know where today's developer platforms fall short and that instinct is exactly what we're hiring for.
There are two ways into this team, and we're hiring for both: the product-minded API engineer who cares about schema design, SDK ergonomics, and a developer's first five minutes with the platform, and the infra-leaning platform engineer who cares about progressive delivery, observability, and keeping a high-traffic API stack fast and boringly reliable. The daily work mixes both - come in from whichever side is yours.
What you'll do
Own critical APIs end to end: write the RFC, ship the implementation, roll it out from staging through canary to full fleet, and keep iterating after launch.
Contribute directly to product codebases across Go, Rust, Python.
Build the surfaces agents consume: hosted MCP, tool calling, connectors, and auth flows that let agents onboard and operate on their own.
Harden the platform for enterprise use: authentication patterns, data-handling guarantees, guardrails, and the security posture of a public API under real load.
Own what you run in production: monitors and dashboards as code, alerts that page you, postmortems you write and act on.
Partner with Research to evaluate frontier capabilities and turn the promising ones into production API features; work with Product, GTM, and customers directly to find the gaps between what builders need and what the platform offers today.
What we look for
Experience with designing and operating distributed, high-load systems.
Build with frontier models and tools - open source and closed source - every day, and you can walk us through your agentic workflow in detail.
High autonomy and agency, paired with real product sense: you think about developers and customers, what an API user wants next, and where the frontier is heading..
Working fluency with the core cloud infrastructure stack: a major cloud provider, Kubernetes, CI/CD.
Depth on at least one side of the role: API product craft or platform operations, and genuine interest in the other.
Nice to have
These are a bonus, not a requirement.
You've built your own agent loops or harnesses: the fastest way to stand out.
You've built developer or API tooling in the LLM ecosystem or in adjacent domains where API schemas evolve fast under real customer load, such as fintech or payments.
You've contributed to open-source SDKs, frameworks, or integrations that developers actually use.