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This is a 12-24 week, full-time internship in our London office.</p>\n<p>As a Search Machine Learning Engineer Intern, 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.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.</li>\n</ul>\n<ul>\n<li>Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.</li>\n</ul>\n<ul>\n<li>Train and evaluate models (including LLM-based approaches) for retrieval, ranking, and classification tasks.</li>\n</ul>\n<ul>\n<li>Support deployment and monitoring of search and ranking models in a scalable and performant way.</li>\n</ul>\n<ul>\n<li>Help build and iterate on RAG pipelines for grounding and answer generation.</li>\n</ul>\n<ul>\n<li>Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.</li>\n</ul>\n<ul>\n<li>Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.</li>\n</ul>\n<ul>\n<li>Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.</li>\n</ul>\n<ul>\n<li>Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.</li>\n</ul>\n<ul>\n<li>Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment</li>\n</ul>\n<ul>\n<li>Experience with Rust will be a plus</li>\n</ul>","enriched_at":1777036596204},{"id":"job_81a600f4-518","title":"Member of Technical Staff (Offensive Security Engineer)","source_url":"https://jobs.ashbyhq.com/perplexity/69fd6a56-0050-44f7-9ed2-2c3a7320908d","location":"San Francisco; London; New York City; Remote (United States); Serbia","job_type":"Full time","experience_level":"staff","work_arrangement":"hybrid","category":"Engineering","description":"<p>Perplexity is seeking a highly skilled Offensive Security Engineer to join our dynamic security team. The successful candidate will take an adversarial approach to hardening Perplexity&#39;s infrastructure, applications, and AI systems.</p>\n<p>You will 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.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces</li>\n<li>Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services</li>\n<li>Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries</li>\n<li>Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing</li>\n<li>Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team</li>\n<li>Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures</li>\n<li>Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations</li>\n<li>Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment</li>\n<li>Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity&#39;s security strategy</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>5+ years of hands-on experience in offensive security, red teaming, or penetration testing</li>\n<li>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</li>\n<li>Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments</li>\n<li>Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits</li>\n<li>Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them</li>\n<li>Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives</li>\n<li>Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities</li>\n<li>Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions</li>\n</ul>","enriched_at":1777036556086},{"id":"job_f8857b62-e75","title":"Member of Technical Staff (Machine Learning Research Engineer)","source_url":"https://jobs.ashbyhq.com/perplexity/1a3df802-9238-4827-ab1f-12a9d1e4b81c","location":"Berlin","job_type":"Full time","experience_level":"staff","work_arrangement":null,"category":"Engineering","description":"<p>We are seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.</p>\n<p>As a key member of our Search team, you will be responsible for pushing search quality forward through models, data, tools, or any other leverage available. This includes architecting and building core components of the search platform and model stack, designing, training, and optimizing large-scale deep learning models using frameworks like PyTorch, and deploying models in a scalable and performant way.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Relentlessly push search quality forward , through models, data, tools, or any other leverage available</li>\n<li>Architect and build core components of the search platform and model stack</li>\n<li>Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models</li>\n<li>Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval</li>\n<li>Deploy models , from boosting algorithms to LLMs , in a scalable and performant way</li>\n<li>Build and optimize RAG pipelines for grounding and answer generation</li>\n<li>Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Deep understanding of search and retrieval systems, including quality evaluation principles and metrics</li>\n<li>Proven track record with large-scale search or recommender systems</li>\n<li>Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models</li>\n<li>Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications</li>\n<li>Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR)</li>\n<li>Self-driven, with a strong sense of ownership and execution</li>\n<li>Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas</li>\n</ul>","enriched_at":1777036544051},{"id":"job_ffc51df0-890","title":"Product Manager (Builder)","source_url":"https://jobs.ashbyhq.com/perplexity/f25e190e-0508-4707-b575-fcaed358dc13","location":"San Francisco; Palo Alto","job_type":"Full time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>We&#39;re looking for a Product Manager to join our highly leveraged, small team for building new products that innovate to accelerate human productivity. As a Product Manager at Perplexity, you will work closely with design and engineering, focusing on the core Computer and search experience. You will anticipate opportunities for innovation and value in enterprise industries, envision new experiences and deliver a long-term vision, and work closely with engineering and design to align product expectations and capabilities.</p>\n<p>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.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Anticipate opportunities for innovation and value in enterprise industries.</li>\n<li>Envision new experiences and deliver a long-term vision.</li>\n<li>Understanding of levers for product-led growth and retention.</li>\n<li>Work closely with engineering and design to align product expectations and capabilities.</li>\n<li>Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.</li>\n<li>Work with data and user research to understand quantitative and qualitative data.</li>\n<li>Have conviction to make difficult product decisions in the face of uncertainty.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Strong experience with product management and leadership.</li>\n<li>Strong experience working with data and metrics.</li>\n<li>Experience with productivity and knowledge work products.</li>\n<li>Experience with prototyping and data visualization.</li>\n<li>Experience with building data driven flywheels for iterative improvement.</li>\n<li>Thrives in a small, agile team: has initiative and desire for ownership.</li>\n<li>4+ years of product management experience.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.</li>\n<li>Salary range: $230K - $330K.</li>\n</ul>","enriched_at":1777036316620},{"id":"job_3b1adcad-a4c","title":"Enterprise Customer Support Specialist","source_url":"https://jobs.ashbyhq.com/perplexity/111dfa6f-e6f3-45b6-9de4-69e4a28e3f12","location":"San Francisco; New York City","job_type":"Full time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>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.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Build durable relationships with Enterprise users, advising on best practices, capturing structured feedback, and championing customer needs in roadmap discussions.</li>\n</ul>\n<ul>\n<li>Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations.</li>\n</ul>\n<ul>\n<li>Design and maintain detailed use-case flows, playbooks, and internal runbooks that empower teammates and customers to solve recurring challenges faster.</li>\n</ul>\n<ul>\n<li>Create and update external documentation (FAQs, help center, guides, tutorials) and internal knowledge bases to ensure information is discoverable and up-to-date.</li>\n</ul>\n<ul>\n<li>Track and report support KPIs (response time, CSAT, resolution rates) and propose data-driven process improvements.</li>\n</ul>\n<ul>\n<li>Participate in an on-call rotation,including some holidays or weekends,to guarantee timely global coverage.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Minimum 3+ years in B2B enterprise customer support with exposure to U.S. and E.U. markets, or similar fast-paced tech environments.</li>\n</ul>\n<ul>\n<li>Hands-on experience prompting large-language models, plus a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs, etc.).</li>\n</ul>\n<ul>\n<li>Ability to translate complex technical concepts,APIs, SSO/SAML, cloud integrations,into clear, actionable guidance for non-technical stakeholders.</li>\n</ul>\n<ul>\n<li>Demonstrated strength in critical thinking, rapid context-switching, and ruthless prioritization when juggling multiple escalations.</li>\n</ul>\n<ul>\n<li>Proficiency with modern support platforms (Intercom, Zendesk, Jira) and basic data-analysis tools (e.g., SQL, Looker, Snowflake).</li>\n</ul>\n<ul>\n<li>Exceptional written and spoken English; business-level fluency in at least one additional language such as Spanish, French, or German is strongly preferred.</li>\n</ul>\n<ul>\n<li>Passion for continuous learning, high ownership, and a “do-what-it-takes” mindset in ambiguous situations.</li>\n</ul>\n<h3>Bonus Points</h3>\n<ul>\n<li>Prior experience supporting AI, search, or knowledge-management products.</li>\n</ul>\n<ul>\n<li>Familiarity with payment platforms (Stripe), enterprise identity (SSO/OAuth), and API integrations.</li>\n</ul>\n<ul>\n<li>Knowledge of enterprise cloud-storage ecosystems (Google Drive, SharePoint, Dropbox) and data-governance best practices.</li>\n</ul>\n<h3>Why Perplexity?</h3>\n<ul>\n<li>Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support</li>\n</ul>\n<ul>\n<li>Velocity &amp; Ownership – Ship improvements quickly in a culture that values curiosity, speed, and quality</li>\n</ul>\n<ul>\n<li>Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.</li>\n</ul>","enriched_at":1777036311653},{"id":"job_d94efffd-e43","title":"Commercial Counsel","source_url":"https://jobs.ashbyhq.com/perplexity/09a2f0e5-c38c-49ee-a5af-9a179e137a44","location":"San Francisco; New York City","job_type":"Full time","experience_level":"senior","work_arrangement":"hybrid","category":"Legal","description":"<h3>Compensation</h3>\n<p>$200K – $265K • Offers Equity</p>\n<h3>Responsibilities</h3>\n<p>Lead end-to-end drafting, review, and negotiation of commercial agreements, including MSAs, SaaS and API agreements, DPAs, partnership and reseller agreements, strategic collaboration and co-marketing agreements, procurement and vendor contracts, technology and infrastructure agreements, and IP licensing arrangements.</p>\n<p>Serve as a primary legal partner across the business, providing fast, practical, and business-aligned counsel that accelerates deal velocity without compromising on risk management.</p>\n<p>Provide strategic counsel on legal risks across AI infrastructure, compute, partnerships, and enterprise deployments as the company scales.</p>\n<p>Advise on AI-specific legal considerations in commercial agreements, including acceptable use, data retention and training restrictions, output liability, and evolving regulatory requirements (e.g., EU AI Act, CCPA/CPRA, GDPR).</p>\n<p>Build and maintain scalable legal infrastructure,contract templates, negotiation playbooks, fallback positions, and tools (e.g., CLM, self-serve workflows),to support high-volume deal flow and reduce friction in the contracting cycle.</p>\n<p>Partner cross-functionally with Product, Engineering, Security, Finance, and Compliance teams to surface and address legal risk early, particularly on data use, enterprise integrations, and customer-specific compliance requirements.</p>\n<p>Monitor the evolving regulatory landscape for enterprise AI and SaaS products and translate emerging requirements into practical contractual and policy guidance for internal stakeholders.</p>\n<h3>Qualifications</h3>\n<p>JD and in good standing with an active U.S. state bar membership.</p>\n<p>At least 5+ years of law firm and/or in-house experience, with a track record of drafting and negotiating complex commercial technology agreements.</p>\n<p>Strong business acumen and ability to partner effectively with sales, product, engineering, and executive teams.</p>\n<p>Deep familiarity with data privacy and security frameworks (GDPR, CCPA/CPRA, SOC 2, HIPAA) and experience negotiating DPAs and related compliance agreements.</p>\n<p>Ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers.</p>\n<p>Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization.</p>\n<p>Positive collaborative attitude, comfort with ambiguity and a fast pace, high level of integrity, and intellectual curiosity about AI technology and how these products work.</p>\n<p>Comfortable working in a fast-paced, dynamic environment.</p>","enriched_at":1777036278831},{"id":"job_b78afdd1-daf","title":"IT Systems Administrator","source_url":"https://jobs.ashbyhq.com/perplexity/18509f15-ab49-450d-8a01-4b280e464ad0","location":"San Francisco","job_type":"Full time","experience_level":"senior","work_arrangement":"onsite","category":"IT","description":"<p>We are seeking a highly skilled and experienced IT Systems Administrator to join our team. As an early hire in this crucial role, you will have an exciting opportunity to shape the future of our technology infrastructure from the ground up.</p>\n<p>This role is based in-person at our San Francisco office.</p>\n<p>Responsibilities: Procure, maintain, and administer computers, networking equipment, and office technology Manage and optimize corporate software systems Oversee and enhance the Mobile Device Management (MDM) infrastructure Deploy and enforce robust security policies and procedures Provision and manage user accounts and permissions Provide prompt, effective technical support and troubleshoot complex issues Lead IT projects focused on endpoint management, security enhancements, and infrastructure improvements Deliver technical support and training on IT systems to staff (in-person and remotely)</p>\n<p>Qualifications: 4+ years of hands-on IT systems administration experience Strong proficiency in macOS &amp; GSuite environments Strong troubleshooting skills (MDM, Okta, Networking) Extensive experience with Okta and automation (Okta Workflows, bash/python is a bonus) Comprehensive understanding of cybersecurity principles and practices, including firewalls, encryption, and antivirus solutions Proven track record in managing IT projects, including system upgrades and new implementations Excellent communication and interpersonal skills</p>\n<p>Nice to have: Experience with AWS, Tailscale Experience with international IT regulations and compliance</p>","enriched_at":1777036263406},{"id":"job_d4a1e69f-53d","title":"Member of Technical Staff (Software Engineer, Computer)","source_url":"https://jobs.ashbyhq.com/perplexity/4c0ac8bb-55bf-4fb0-b7d7-36d69f55e6c8","location":"San Francisco; New York City; Palo Alto","job_type":"Full time","experience_level":"staff","work_arrangement":"onsite","category":"Engineering","description":"<p>We&#39;re hiring builders to join our highly leveraged engineering team for creating new products that innovate and accelerate human productivity.</p>\n<p>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&#39;ll ship fast and work between product, infrastructure and frontier level advancements in technology.</p>\n<p>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.</p>\n<p>Qualifications: 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.</p>\n<p>Nice to have: 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.</p>","enriched_at":1777036255672},{"id":"job_f4b9bbfb-a0a","title":"Member of Technical Staff (Software Engineer, Computer Monetization)","source_url":"https://jobs.ashbyhq.com/perplexity/043d6a58-87a1-4e3c-bf47-4dc351b94cf4","location":"San Francisco; New York City","job_type":"Full time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>As a monetization engineer at Perplexity, you&#39;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.</p>\n<p>You&#39;ll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend. This includes designing, building, and owning the billing platform and monetization systems that power Computer and every paid experience across Perplexity.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading features end-to-end, from problem definition through technical design, implementation, and launch</li>\n<li>Building and operating the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans</li>\n<li>Hill-climbing on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do</li>\n<li>Partnering 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</li>\n<li>Building internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>4+ years of professional software engineering experience</li>\n<li>Direct experience building or scaling billing, payments, subscription, or monetization systems</li>\n<li>Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks</li>\n<li>Strong backend engineering skills in Python with the ability to reason about complex distributed systems</li>\n<li>Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work</li>\n<li>Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions</li>\n<li>Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission</li>\n<li>Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders</li>\n<li>Genuine interest and adoption of AI products and willingness to learn quickly</li>\n</ul>","enriched_at":1777036237462},{"id":"job_d52fce6a-07b","title":"Solutions Product Marketing Manager","source_url":"https://jobs.ashbyhq.com/perplexity/9e3a4516-b893-4579-9a6a-3720658e4b6d","location":"San Francisco; New York City","job_type":"Full time","experience_level":"mid","work_arrangement":"hybrid","category":"Marketing","description":"<p>We&#39;re seeking a Solutions Product Marketer to own GTM strategy for our highest-priority verticals, Finance, Healthcare, Legal, and Consulting. You&#39;ll go deep on buying motions, use cases, and competitive dynamics, translating insight into campaigns, content, and sales enablement that systematically win each industry.</p>\n<p>As a Solutions Product Marketer, you will:</p>\n<ul>\n<li>Own vertical GTM as a system, not one-off campaigns</li>\n<li>Map how enterprise buyers in each vertical evaluate, purchase, and deploy AI, personas, decision processes, and competitive alternatives</li>\n<li>Build and run vertical awareness campaigns across paid, organic, and owned channels, including webinars, landing pages, and industry-specific creative</li>\n<li>Arm enterprise sales with battle cards, objection handling, persona-specific talk tracks, and deal-stage content that moves revenue</li>\n<li>Develop opinionated thought leadership positioning Perplexity as the authority on AI adoption in each vertical</li>\n<li>Instrument and measure vertical performance: pipeline sourced, conversion rates, engagement iterating weekly based on data</li>\n</ul>\n<p>To succeed in this role, you should have:</p>\n<ul>\n<li>5+ years of product marketing experience, B2B preferred</li>\n<li>Proven track record building and executing vertical or industry-specific GTM strategies that drove measurable pipeline</li>\n<li>Deep understanding of enterprise buying motions, comfortable with long sales cycles, multi-stakeholder deals, and C-suite messaging</li>\n<li>Exceptional storytelling and writing skills, able to distill complex capabilities into simple, compelling narratives across decks, one-pagers, videos, and ROI models</li>\n<li>Advanced proficiency using AI tools to drive marketing outcomes</li>\n<li>Collaborative, low-ego operator who thrives in fast-paced, small-team environments and owns the full stack of work</li>\n</ul>","enriched_at":1777036149136}],"category_normalised":[{"category":"engineering","count":43},{"category":"marketing","count":5},{"category":"sales","count":4},{"category":"operations","count":1},{"category":"legal","count":1},{"category":"it","count":1},{"category":"finance","count":1}],"velocity":{"weeks":[{"week_start":"2026-03-02","count":42},{"week_start":"2026-04-20","count":14}],"trend":"stable","wow_pct":-67},"momentum":{"recent_14d":14,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":248750,"industry_median":null,"percentile":null,"sample_size":12,"by_region":[{"region":"United States","company_median":248750,"industry_median":null,"sample":12}],"transparency_pct":21,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":56,"industry_total":56,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.337,"skill_weighted_score":0.374,"top_exposed_titles":[{"title":"Internship - Search Machine Learning Engineer","count":2,"score":0.461},{"title":"AI Inference Engineer","count":2,"score":0.288}],"top_exposed_skills":[{"skill":"Databricks","count":3,"score":0.46},{"skill":"SQL","count":4,"score":0.417},{"skill":"Large Language Models","count":3,"score":0.403},{"skill":"TensorFlow","count":3,"score":0.403},{"skill":"Data Analysis","count":3,"score":0.39},{"skill":"Deep Learning","count":3,"score":0.363},{"skill":"AWS","count":4,"score":0.342},{"skill":"Large-scale LLMs","count":3,"score":0.34},{"skill":"Cloud Infrastructure","count":4,"score":0.337},{"skill":"PyTorch","count":6,"score":0.331}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":38,"share_pct":67.9},{"region":"United Kingdom","count":8,"share_pct":14.3},{"region":"EU","count":7,"share_pct":12.5},{"region":"Unknown","count":2,"share_pct":3.6},{"region":"APAC","count":1,"share_pct":1.8}],"emerging":[{"region":"United States","recent_30d":12,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":58,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":33}}}}