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You&#39;ll work with the Sales Enablement Lead to define our content management strategy, including whether to build on Perplexity&#39;s own AI platform or buy a dedicated tool. Then you&#39;ll build it, run it and keep improving it. You&#39;ll also build AI skills, plugins and workflows that make reps and managers faster and more effective every day.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Help shape content and knowledge strategy</li>\n</ul>\n<p>+ Partner with the Sales Enablement Lead to define the long-term content management strategy for the sales team, from requirements to the build-vs-buy decision. \t+ Work alongside the Sales Enablement Lead on the evaluation: gather stakeholder needs, assess options, model costs and tradeoffs, and shape a joint recommendation to sales leadership. \t+ Design the content architecture: taxonomy, ownership, governance, approval workflows and lifecycle.</p>\n<ul>\n<li>Help build and run the enablement stack</li>\n</ul>\n<p>+ Own the implementation and maintenance of the sales content hub, call library and training platform, leveraging Perplexity throughout. \t+ Help coordinate with Revenue Operations, Product Marketing, Product and Legal so content is accurate, approved and available where sellers work. \t+ Own enablement reporting: content usage, training completion, certification status and how they relate to ramp and performance.</p>\n<ul>\n<li>Build AI tools for the sales team</li>\n</ul>\n<p>+ Design, build and maintain AI skills, plugins and agent workflows for account executives, BDRs and sales managers. \t+ Turn repeated seller and manager tasks into reusable AI workflows, then drive adoption through training, documentation and feedback loops. \t+ Develop training materials for sellers and managers on using AI tools well, and keep a shared library of best practices.</p>\n<ul>\n<li>Lead and scale</li>\n</ul>\n<p>+ Set the standards for how enablement content and AI tools get built, contributed and maintained across the GTM organization. \t+ Act as a trusted thought partner to enablement leadership on priorities, operating model and tooling. \t+ Help shape the enablement operations function as the team grows, with a path to leading it.</p>\n<p><strong>What we&#39;re looking for</strong></p>\n<ul>\n<li>4–6 years in go-to-market roles, with at least 2 years owning sales enablement operations, revenue operations, GTM systems or sales content strategy.</li>\n<li>Experience owning a sales content or knowledge system end to end, including taxonomy, governance, adoption and measurement.</li>\n<li>A track record of leading or heavily shaping a tooling decision, such as a platform evaluation, migration or in-house build.</li>\n<li>Real, hands-on AI fluency: you&#39;ve built AI tools or workflows that other people use regularly, and you can show examples.</li>\n<li>Systems thinking: you understand how content, CRM, call-recording and communication tools connect, and you design for how sellers actually work.</li>\n<li>Strong judgment and the ability to make a clear recommendation and defend it with leadership.</li>\n<li>Experience driving cross-functional projects without formal authority.</li>\n<li>Clear written and verbal communication, and a bias toward shipping, measuring and iterating.</li>\n</ul>\n<p><strong>Nice to have</strong></p>\n<ul>\n<li>Experience as the first enablement operations or GTM systems hire, building the function from scratch.</li>\n<li>Hands-on experience with enablement platforms such as Highspot, Seismic, Guru, Mindtickle or Showpad.</li>\n<li>Background as an AE, SE or BDR before moving into enablement or operations.</li>\n<li>Experience managing or mentoring contractors, interns or direct reports.</li>\n<li>Experience at a high-growth AI or SaaS company.</li>\n</ul>\n<p><strong>What success looks like</strong></p>\n<ul>\n<li>First 90 days: You&#39;ve assessed current content and tools, interviewed sellers and managers, made a build-vs-buy recommendation with the Sales Enablement Lead, and shipped the first AI skills the sales team uses every week.</li>\n<li>First 6 months: A governed content hub and call library are live and adopted, enablement reporting is in place, and a growing library of AI tools is measurably saving time for reps and managers.</li>\n<li>First year: Enablement operations is a scalable function with clear standards, and you&#39;re ready to lead it as the team grows.</li>\n</ul>","enriched_at":1793460607373},{"id":"job_8e051555-358","title":"Procurement Lead","source_url":"https://jobs.ashbyhq.com/perplexity/ba95ea8c-9aad-4152-925c-df08d6a90c0f","location":"San Francisco, California","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Finance","description":"<p>We&#39;re hiring a Procurement Lead to build Perplexity&#39;s procurement function. You&#39;ll design how Perplexity buys, from the workflow and policies teams follow to the agreements we sign and the vendor relationships we manage after signature. You&#39;ll be a key partner to teams across the company, helping them choose the right vendors and structure strong agreements without becoming a bottleneck, and making sure every dollar we commit to third parties earns its keep.</p>\n<p>This is a high-impact, hands-on role for someone who thrives in fast-paced environments and wants to build the function, not inherit one, with room for your scope to grow as the company does. We value someone who can set direction, dig into the details, and follow through.</p>\n<p>KEY RESPONSIBILITIES</p>\n<ul>\n<li>Lead our highest-impact vendor deals across software, cloud services, data, and professional services, from competitive alternatives through pricing, terms, and signature</li>\n<li>Structure committed-spend, usage-based, and multi-year agreements that scale with our usage and preserve our flexibility</li>\n<li>Own relationships with our most important vendors, including performance tracking, business reviews, and renewal negotiations</li>\n<li>Design an efficient procurement workflow, policies, and approval thresholds, and implement the tools and AI automation to run them</li>\n<li>Use AI workflows and agents to automate procurement, from intake and contract review to spend analysis and reporting</li>\n<li>Build visibility into vendor spend and contracts, and drive savings through consolidation, right-sizing, and renegotiation</li>\n<li>Partner with Legal, Security, and Accounting on contract terms, vendor risk reviews, and audit-ready controls</li>\n</ul>\n<p>WHAT YOU&#39;LL BRING</p>\n<ul>\n<li>5-7+ years of experience in procurement or strategic sourcing at a high-growth technology company, including building or scaling the function.</li>\n<li>A track record of personally negotiating multi-million dollar software, cloud, or data agreements, managing those vendors and renegotiating at renewal, and delivering measurable savings</li>\n<li>Experience building procurement processes, policies, and systems from scratch</li>\n<li>Ability to run multiple deals at once with incomplete information, and sound judgment about when to move fast and when to escalate</li>\n<li>Comfort using AI tools to accelerate your work and improve workflows</li>\n<li>A low-ego, roll-up-your-sleeves approach to projects large and small and to working across the organization</li>\n<li>Strong communication skills, the ability to influence senior leaders, and a reputation for being commercially tough and fair</li>\n</ul>","enriched_at":1793460576146},{"id":"job_1e567eda-72f","title":"IT Engineer","source_url":"https://jobs.ashbyhq.com/perplexity/2d510148-8cce-4b67-be25-5784106bbff4","location":"San Francisco, California","job_type":"full-time","experience_level":"entry","work_arrangement":"hybrid","category":"IT","description":"<p>We&#39;re changing how the world finds answers at Perplexity.   You&#39;ll join a small, high-impact IT team and help build systems and automations that keep everyone moving.   Salary: $150K - $180K.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use Perplexity&#39;s Computer to build foundational AI automations, custom skills, and workflows that run IT at scale.</li>\n<li>Instrument and tune our agentic IT ticketing system: spot trends, track KPIs, and engineer agent behaviour to resolve requests quickly.</li>\n<li>Give employees great day-to-day IT support, in person and remotely, across hardware, accounts, and SaaS apps.</li>\n<li>Build and promote self-service tools across the company.</li>\n<li>Contribute to IT projects across endpoint management, identity and access management (IAM), and our IT back end.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>3+ years of experience in IT help desk and systems administration, ideally in a fast-growing startup.</li>\n<li>Experience with macOS and Google Workspace.</li>\n<li>Experience with Google Workspace, Okta, ideally Okta Workflows.</li>\n<li>Experience using AI coding tools and scripting languages like Bash or Python.</li>\n<li>Familiarity with MDM like Iru or Intune is a plus.</li>\n<li>A methodical approach to root-cause troubleshooting and strong interest in automating away repetitive tasks.</li>\n<li>Clear, friendly communication and enjoyment in helping people.</li>\n</ul>","enriched_at":1793460558561},{"id":"job_5f7711f3-a58","title":"Sales Onboarding Manager","source_url":"https://jobs.ashbyhq.com/perplexity/91814621-dd0e-46d1-8aba-24957c5a4296","location":"San Francisco, California","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Sales","description":"<p>Perplexity is hiring sellers fast, and every new seller has to learn a fast-moving product line: Enterprise, Comet, Computer and the API.</p>\n<p>We&#39;re looking for a Sales Onboarding Manager to own how new sellers go from their first day to selling on their own. You&#39;ll build the program, keep it current, run it, and certify that each seller is ready before they sell independently.</p>\n<p>This is a high-ownership, highly visible role on a small Sales Enablement team. You&#39;ll partner with the Sales Enablement Lead and work closely with sales leaders, frontline managers, Product, Product Marketing, Solutions and Revenue Operations.</p>\n<p>Your goal is a robust, relevant, progressive and measurable ramp that gets faster as we scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the sales onboarding program. Co-design and run role-based ramps for BDRs and for Enterprise and Commercial AEs, including learning objectives, milestones and time-to-productivity targets for each stage.</li>\n<li>Build the BDR ramp. Teach new BDRs prospecting and outbound: ideal customer profile and persona research, account and territory rules, multi-channel sequences, cold calling, cold email, qualification, and clean handoffs to AEs.</li>\n<li>Build and maintain content. Create and update modules, playbooks, talk tracks, demo guides, knowledge checks and self-paced content.</li>\n<li>Facilitate live sessions. Lead engaging, interactive sessions (virtual and in person) on Perplexity&#39;s products, sales process, customer personas, discovery, demos, objection handling and tools.</li>\n<li>Run cohort logistics. Work with Recruiting and sales leaders to track incoming hires, assign each one to the right sessions for their role, segment and start date, and manage calendars, attendance, make-ups and pre-work.</li>\n<li>Certify field readiness. Design and run role-specific certifications using clear rubrics.</li>\n<li>Partner with frontline managers. Give managers visibility into each new hire&#39;s progress, flag risks early, and equip managers to reinforce onboarding through coaching and call reviews.</li>\n<li>Measure and improve. Track completion, certification pass rates and ramp attainment.</li>\n<li>Scale with leverage. Use AI tools, including Perplexity&#39;s own products, to build content faster, personalize learning paths and automate repetitive logistics so the program keeps up with hiring.</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong> The best candidates are strong facilitators who also design programs and run operations well. You can command a room, build a curriculum from a blank page, and keep a complicated cohort calendar running smoothly.</p>\n<p><strong>Must-haves</strong></p>\n<ul>\n<li>2–4 years in sales enablement, sales onboarding or sales training, ideally at a high-growth B2B SaaS or AI company.</li>\n<li>A track record of designing and running a sales onboarding or ramp program end to end, with measurable impact on ramp time or productivity.</li>\n<li>Excellent live facilitation, virtual and in person, with sellers at different experience levels.</li>\n<li>Experience designing and running certifications or skills assessments.</li>\n<li>Strong program management and operational rigor.</li>\n<li>Working knowledge of modern sales methods.</li>\n<li>Comfort learning technical products quickly and explaining them clearly.</li>\n<li>Fluency with the sales tech stack.</li>\n<li>High ownership and comfort with ambiguity in a fast-moving environment.</li>\n</ul>\n<p><strong>Nice to have</strong></p>\n<ul>\n<li>Experience onboarding sellers for AI, developer or other technically complex products.</li>\n<li>Background in instructional design or adult learning.</li>\n<li>Previous experience as a BDR/SDR or as a BDR/SDR manager.</li>\n<li>Experience building onboarding for both Enterprise and Commercial/velocity sales motions.</li>\n<li>Experience standing up enablement tooling or reporting on ramp metrics.</li>\n<li>Experience using AI to build content or automate enablement operations</li>\n</ul>","enriched_at":1793369232639},{"id":"job_8b5e7e27-4ea","title":"Customer Success Lead","source_url":"https://jobs.ashbyhq.com/perplexity/6b2da750-51fb-4428-b682-fe2296d9aef7","location":"San Francisco, California","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Customer Service","description":"<p>As Customer Success Lead at Perplexity, you’ll lead the team responsible for helping enterprises adopt Perplexity Computer and our API products, turning adoption into measurable business value.</p>\n<p>You’ll own the customer success strategy and operating model, lead CSMs across customer segments, and be accountable for gross and net revenue retention across the post-sale book, with expansion targets shared with Sales.</p>\n<p>This is a hands-on leadership role. You’ll stay close to customers and the product while building the team, programs, and cross-functional partnerships that help us scale.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own gross and net revenue retention for the customer base, including renewal forecasting, risk management, and expansion targets shared with Sales</li>\n<li>Set the customer success strategy, and coverage model across high-touch Enterprise, scaled SMB and Mid-Market, and technical API customers</li>\n<li>Hire, coach, and develop CSMs across customer segments, establishing a regular cadence of 1:1s, account and renewal reviews, and a clear bar for performance and product expertise</li>\n<li>Build the playbooks the team runs on, including Sales-to-CS handoffs, onboarding, customer success plans, health scoring, executive business reviews, and escalations</li>\n<li>Partner with Applied AI and Enablement to build onboarding, workshops, champion programs, and scaled education that help customers reach first value and sustain adoption</li>\n<li>Help customers connect adoption and consumption to business outcomes, understand usage and cost trade-offs, and build a clear case for renewal and expansion</li>\n<li>Partner with Sales to identify self-serve customers ready to move to Enterprise and to plan expansion in named accounts</li>\n<li>Work with RevOps and Finance on capacity planning, account assignment, book-of-business design, and accurate reporting in Salesforce</li>\n<li>Partner with cross-functional teams to deliver a cohesive customer journey, with clear ownership and handoffs from onboarding through adoption, renewal, and expansion</li>\n<li>Coordinate customer readiness and communications for product launches, migrations, pricing and usage changes, and incidents, partnering with Product, Marketing, Support, and Engineering on accurate guidance</li>\n<li>Bring customer needs and recurring friction into product planning, and close the loop with customers on decisions and progress</li>\n<li>Engage executive sponsors at our largest accounts and step in personally on strategic adoption efforts, high-stakes renewals, and escalations while building the team’s ability to own day-to-day execution</li>\n</ul>\n<h3>You may be a good fit if</h3>\n<ul>\n<li>You have 10+ years in customer success, account management, or post-sales roles at enterprise software companies</li>\n<li>You have 5+ years leading CS teams, with a track record of hiring, coaching, and developing high-performing CSMs</li>\n<li>You’ve owned GRR and NRR targets and can show how your team moved them</li>\n<li>You’ve built or rebuilt a CS function during rapid growth, not only run an established one</li>\n<li>You’ve run both high-touch and scaled or digital coverage models and know when each one fits</li>\n<li>You can show how your team helped customers move from initial onboarding to sustained adoption and measurable business outcomes</li>\n<li>You’re comfortable with usage and consumption data, and ideally have supported usage-based or API products</li>\n<li>You have strong command of Salesforce, forecasting, and customer health tooling</li>\n<li>You’re hands-on with AI products and can build enough product fluency to understand customer workflows, diagnose adoption barriers, and earn trust with business and technical stakeholders</li>\n<li>You communicate clearly with executive buyers, administrators, and technical teams, including during sensitive product changes or escalations</li>\n<li>You’re comfortable operating without an established playbook, using AI and automation where they improve execution and knowing where human judgment matters</li>\n</ul>","enriched_at":1793369207790},{"id":"job_ffaf2aed-1c9","title":"Member of Technical Staff (Site Reliability Engineer, Cloud Infrastructure)","source_url":"https://jobs.ashbyhq.com/perplexity/5fe2b80d-9d59-42bb-90e6-9a0b78d7d403","location":"San Francisco, California","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads.</p>\n<p>We&#39;re looking for SREs who treat reliability as a software problem. You&#39;ll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own production at scale. Run the compute, networking, and storage foundation behind Perplexity&#39;s consumer, Computer, API, and enterprise products, and own its availability, latency, and cost.</li>\n<li>Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load.</li>\n<li>Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers.</li>\n<li>Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested.</li>\n<li>Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back.</li>\n<li>Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works.</li>\n<li>Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice.</li>\n<li>Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure.</li>\n<li>Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team.</li>\n</ul>\n<h3>Qualifications</h3>\n<p>We expect you to have real depth in most of these:</p>\n<ul>\n<li>Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them.</li>\n<li>Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn&#39;t count.</li>\n<li>Terraform mastery. You&#39;ve designed module structures, managed state across many accounts, and run large refactors and imports without taking production down.</li>\n<li>Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing).</li>\n<li>You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you&#39;d rather automate a runbook than follow it.</li>\n<li>Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter.</li>\n<li>A track record of leading production incidents and turning root-cause analysis into durable fixes.</li>\n<li>You own problems end-to-end and do well when the path forward isn&#39;t laid out for you.</li>\n</ul>\n<h3>Additional Experience We Value</h3>\n<ul>\n<li>Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets.</li>\n<li>Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF.</li>\n<li>GitOps and progressive delivery: Argo CD, Flux, or similar.</li>\n<li>Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls.</li>\n<li>Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch.</li>\n<li>Multi-cloud or neocloud operations (GCP, CoreWeave, or similar).</li>\n<li>FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.</li>\n</ul>","enriched_at":1793341121280},{"id":"job_dea27f3d-8d1","title":"Product Manager, Growth","source_url":"https://jobs.ashbyhq.com/perplexity/fa088d92-b08b-43f7-9232-275b0ae08827","location":"San Francisco","job_type":"full-time","experience_level":"mid","work_arrangement":null,"category":"Product Management","description":"<p>We are seeking a Product Manager, Growth to join our team at Perplexity. You will work closely with design and engineering to focus on product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity.</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $330K • Offers Equity</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.</li>\n<li>Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence.</li>\n</ul>\n<p><strong>What you’ll do</strong></p>\n<ul>\n<li>Own the upsell roadmap: build new upsell levers and iterate relentlessly on existing ones to drive our metrics forward.</li>\n<li>Run onboarding experiments that get new users to a first successful outcome faster, from signup and intent routing to first-session guidance.</li>\n<li>Build personalized recommendations that drive deeper usage: connector recommendations, follow-up suggestions, and segment-aware surfaces.</li>\n<li>Own the upgrade flows that drive paid conversion, free to paid, plan upgrades, and paid credit purchases.</li>\n<li>Drive adoption of new Computer features as they launch: decide who sees what, when, and through which surface, and measure whether adoption turns into retention and paid usage.</li>\n<li>Drive cross-device conversion: get web users onto the mobile and desktop apps (and back) through in-product prompts, lifecycle messaging, and onboarding.</li>\n<li>Analyze funnels, cohorts, and segments to find the highest-leverage opportunities; define metrics, denominators, and cohort windows.</li>\n<li>Hold guardrails on retention, support volume, and margin; improve conversion without degrading the product.</li>\n<li>Write crisp specs, tickets, and experiment briefs; coordinate execution across engineering, design, data, and marketing.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>2–4 years of total work experience with a strong academic record.</li>\n<li>~2 years in investment banking, strategy consulting, or a comparable high-intensity analytical role, followed by operating experience , a growth or product role at a startup, or founding your own company.</li>\n<li><strong>Extremely analytical.</strong> Fluent in SQL, comfortable with experiment design and statistical readouts.</li>\n<li><strong>Segment-native.</strong> You think in user journeys, personas, and behavioral triggers, and you know a lift on the average can hide a loss on a segment.</li>\n<li><strong>Strong product taste.</strong> You can tell the difference between an upsell that helps a user and one that annoys them, and you care about the second-order effects of what you ship.</li>\n<li><strong>High velocity.</strong> Comfortable owning many parallel experiments and moving between analysis, spec-writing, and shipping in the same week.</li>\n<li><strong>Bias to action, low ego, high ownership.</strong> Thrives in ambiguity where processes are still being defined.</li>\n</ul>\n<p><strong>Nice to have</strong></p>\n<ul>\n<li>Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).</li>\n<li>Experience with subscription and usage-based billing products, paywalls, or paid upgrade experimentation.</li>\n<li>Experience shipping across web and native mobile surfaces.</li>\n</ul>","enriched_at":1793253544250},{"id":"job_2df7d11a-596","title":"Member of Technical Staff (Software Engineer, Training Infrastructure)","source_url":"https://jobs.ashbyhq.com/perplexity/2a5aa5f6-596b-45c3-84db-ac0b96363f93","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Perplexity is seeking software engineers to join our Training Infrastructure team. We&#39;re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimise agent harnesses. We are full-stack engineers with a broad remit. If you join us, you&#39;ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You&#39;ll also define novel user and agent interfaces for designing, managing, and launching experiments. You&#39;ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more!</p>\n<p>A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration.</p>\n<p>QUALIFICATIONS:</p>\n<ul>\n<li>2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance.</li>\n<li>Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes.</li>\n<li>Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development.</li>\n<li>BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.</li>\n</ul>\n<p>WHY PERPLEXITY IS DIFFERENT:</p>\n<ul>\n<li>Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.</li>\n<li>Ownership. You identify the problem, design the solution and ship it.</li>\n<li>Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.</li>\n<li>Scholarship. Work among highly talented peers, pursuing knowledge and truth, uplevelling ourselves, our teams, and our products.</li>\n<li>Partnership. We amplify each others&#39; strengths, break down silos, and give selflessly to help our colleagues deliver excellence.</li>\n</ul>","enriched_at":1793235459147},{"id":"job_e42e9107-d5d","title":"Member of Technical Staff (AI Software Engineer, Agent Engine)","source_url":"https://jobs.ashbyhq.com/perplexity/d865c821-9a27-416c-9c6a-14132a86f760","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Perplexity is seeking energetic engineers to join our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world&#39;s most discerning users.</p>\n<p>As an engineer on our Agent Engine team, you&#39;ll bring AI expertise, sharp product intuition, and a tinkerer&#39;s mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You&#39;ll work across engineering and applied research to solve many open problems in AI, including:</p>\n<ul>\n<li>Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users;</li>\n<li>Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;</li>\n<li>Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions;</li>\n<li>Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;</li>\n<li>Designing optimal data representations and modes of interaction between agents and their environments;</li>\n<li>and much, much more.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Strong foundational familiarity with the AI systems stack.</li>\n<li>Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).</li>\n<li>Significant experience in at least one of the following areas:</li>\n<li>Harness engineering</li>\n<li>Agent Skills and plugin architectures</li>\n<li>Model training and reinforcement learning</li>\n<li>Browser technologies (CDP, Playwright, extension development, etc.)</li>\n<li>Strong technical intuition and taste for user experience excellence.</li>\n<li>Comfortable working with a small, fast-moving team; bias toward ownership.</li>\n<li>A passion for shipping products that surprise and delight.</li>\n</ul>","enriched_at":1793170087552},{"id":"job_7ffa2d1f-9e0","title":"Engineering Manager (Agent Engine)","source_url":"https://jobs.ashbyhq.com/perplexity/3f0dc0ad-aa9a-4cd8-aa75-245112f3b2de","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Perplexity is seeking an Engineering Manager to lead and grow our highly driven Agent Engine team.</p>\n<p>The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer, the Comet ecosystem, our Agent API, and more.</p>\n<p>As the engineering manager supporting the Agent Engine team, you&#39;ll bring AI expertise, sharp product intuition, and strong leadership and collaboration skills to advance the frontier of what agents can accomplish for our millions of devoted users.</p>\n<p>You&#39;ll lead, grow, and support a team in solving many open problems in AI, including:</p>\n<ul>\n<li>Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users;</li>\n<li>Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;</li>\n<li>Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions;</li>\n<li>Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;</li>\n<li>Designing optimal data representations and modes of interaction between agents and their environments;</li>\n<li>and much, much more.</li>\n</ul>\n<p>RESPONSIBILITIES</p>\n<ul>\n<li>Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space.</li>\n<li>Develop and leverage cutting-edge AI systems and related technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.</li>\n<li>Exercise sharp technical &amp; product intuition to guide the team’s system architectures and product roadmaps.</li>\n<li>Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team.</li>\n<li>Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates.</li>\n<li>Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry.</li>\n</ul>\n<p>QUALIFICATIONS</p>\n<ul>\n<li>Strong foundational familiarity with the AI systems stack.</li>\n<li>Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).</li>\n<li>Domain knowledge in at least one of the following areas:</li>\n<li>Harness engineering</li>\n<li>Agent Skills and plugin architectures</li>\n<li>Model training and reinforcement learning</li>\n<li>Browser technologies (CDP, Playwright, extension development, etc.)</li>\n<li>Strong technical intuition and taste for user experience excellence.</li>\n<li>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.</li>\n<li>Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent.</li>\n<li>8+ years of engineering experience, with at least 3 of those years as an engineering manager.</li>\n</ul>","enriched_at":1793106124869}],"category_normalised":[{"category":"engineering","count":60},{"category":"sales","count":13},{"category":"marketing","count":12},{"category":"human resources","count":8},{"category":"finance","count":7},{"category":"design","count":7},{"category":"product management","count":5},{"category":"it","count":4},{"category":"operations","count":2},{"category":"legal","count":2},{"category":"customer service","count":2},{"category":"research","count":1},{"category":"communications","count":1}],"velocity":{"weeks":[{"week_start":"2026-05-11","count":2},{"week_start":"2026-06-01","count":7},{"week_start":"2026-06-08","count":3},{"week_start":"2026-06-15","count":2},{"week_start":"2026-06-22","count":1},{"week_start":"2026-06-29","count":2},{"week_start":"2026-07-06","count":1},{"week_start":"2026-07-13","count":3},{"week_start":"2026-07-20","count":4},{"week_start":"2026-07-27","count":4},{"week_start":"2026-08-03","count":1},{"week_start":"2026-08-10","count":7},{"week_start":"2026-08-24","count":1},{"week_start":"2026-08-31","count":11},{"week_start":"2026-09-07","count":2},{"week_start":"2026-09-14","count":4},{"week_start":"2026-09-21","count":2},{"week_start":"2026-09-28","count":5},{"week_start":"2026-10-05","count":7},{"week_start":"2026-10-12","count":3},{"week_start":"2026-10-19","count":9},{"week_start":"2026-10-26","count":10}],"trend":"accelerating","wow_pct":11},"momentum":{"recent_14d":17,"prior_14d":8,"growth_pct":113,"classification":"accelerating"},"salary_vs_industry":{"company_median":225000,"industry_median":null,"percentile":null,"sample_size":85,"by_region":[{"region":"United States","company_median":225000,"industry_median":null,"sample":82},{"region":"Unknown","company_median":280000,"industry_median":null,"sample":3}],"transparency_pct":69,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":124,"industry_total":124,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.303,"skill_weighted_score":0.437,"top_exposed_titles":[{"title":"Member of Technical Staff (Software Engineer, API Platform)","count":2,"score":0.288},{"title":"Internship - Search Machine Learning Engineer","count":2,"score":0.461},{"title":"AI Inference Engineer","count":2,"score":0.288}],"top_exposed_skills":[{"skill":"Customer Success","count":3,"score":0.701},{"skill":"Statistics","count":3,"score":0.523},{"skill":"SQL","count":6,"score":0.433},{"skill":"Leadership","count":4,"score":0.415},{"skill":"Reinforcement Learning","count":3,"score":0.408},{"skill":"Engineering","count":3,"score":0.408},{"skill":"TensorFlow","count":3,"score":0.403},{"skill":"Machine Learning","count":3,"score":0.403},{"skill":"PyTorch","count":5,"score":0.392},{"skill":"Communication","count":6,"score":0.383}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":102,"share_pct":82.3},{"region":"EU","count":11,"share_pct":8.9},{"region":"Unknown","count":6,"share_pct":4.8},{"region":"United Kingdom","count":5,"share_pct":4}],"emerging":[{"region":"United States","recent_30d":23,"prior_30d":12,"growth_pct":92}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0.3,"exec_growth_pct":-100,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":61,"industry_median_days_open":null,"long_open_count":63,"closure_rate_pct":19}}}}