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This is a highly technical, hands-on business development role at the intersection of Physical AI, simulation, spatial intelligence and enterprise customers.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Develop a deep understanding of our robotics technology, its capabilities and limitations, and how the broader robotics and Physical AI ecosystem is evolving.</li>\n<li>Identify the customers, use cases, and problems where our technology can create differentiated value, and develop a strong point of view on where the market is heading.</li>\n<li>Spend meaningful time with customers to understand their workflows, technical constraints, deployment environments, and unmet needs firsthand.</li>\n<li>Build a tight feedback loop between customers and the team: translate problems back to research and engineering, synthesize patterns, and help distinguish scalable product opportunities from one-off customization.</li>\n<li>Shape and execute early customer engagements, pilots, and partnerships in close collaboration with research, engineering, and product teams.</li>\n<li>Own strategic opportunities end to end: from prospecting and discovery through technical evaluation, commercial structure, negotiation, contracting, and close.</li>\n<li>Build the operational foundation for an early commercial function: maintain customer and opportunity pipelines, establish lightweight processes, drive follow-through, unblock dependencies, and make sure commitments get delivered.</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>8+ years of experience in related industries.</li>\n<li>Deep experience in robotics, Physical AI, autonomous systems, simulation, or an adjacent frontier technology, with firsthand exposure to customers, products, or deployments.</li>\n<li>Technical fluency to engage credibly with researchers and engineers, with strong curiosity to understand how the technology works and draw connections between technical capabilities and market opportunities.</li>\n<li>Strong understanding of the different generations of robotics technology - from traditional automation, through the computer-vision-driven wave of robotics, to today’s frontier in imitation learning, reinforcement learning, robot foundation models, and sim-to-real.</li>\n<li>Demonstrated ability to develop and close complex B2B relationships, from ambiguous early conversations through signed agreements.</li>\n<li>Strong market and adoption judgment: you understand where new robotics capabilities will find pull first, which customers and use cases to prioritize, and how to sequence entry across markets.</li>\n<li>Ability to turn technical capability into repeatable commercial value: identify the right wedge, business model, pricing, and channel strategy, and build a path from demo → paid PoC → production deployment while avoiding bespoke work that does not scale.</li>\n<li>Comfortable quantifying and defending commercial decisions: you can build a credible pipeline forecast, price a pilot, or model a deal structure with real numbers behind it.</li>\n<li>Builder mentality. You thrive in the ambiguity of early commercialization, creating the processes, tools, and operating cadence needed while figuring out what works.</li>\n<li>Experience being an early or founding commercial hire inside a highly technical organization: you know how to earn credibility with researchers and engineers, not just with enterprise buyers.</li>\n<li>Low ego and highly collaborative. You seek the best ideas regardless of where they come from, build closely with the team, and do what is needed to deliver results.</li>\n</ul>\n<h4>What We Offer</h4>\n<ul>\n<li>Pay Range $250-$350k base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)</li>\n<li>Total Compensation: Base salary plus equity awards</li>\n</ul>","enriched_at":1786960973800},{"id":"job_9d550ddf-76f","title":"Executive Business Partner (Bilingual fluency in English and Mandarin)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4370040009","location":"San Francisco","job_type":"full-time","experience_level":"executive","work_arrangement":"hybrid","category":"Operations","description":"<p>World Labs is seeking an Executive Business Partner (EBP) to support the CEO. This is a highly strategic and execution-oriented role designed to create leverage for one of the most influential leaders in AI.</p>\n<p>The EBP will operate as a hybrid of Executive Assistant (EA) and Personal Assistant (PA), owning priorities end-to-end, anticipating needs, and ensuring seamless execution across the CEO&#39;s professional landscape, including both World Labs and her ongoing commitments at Stanford.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Own CEO&#39;s calendar end to end: sequence priorities, protect focus time, anticipate conflicts, and exercise sound judgment on what requires her time and attention.</li>\n<li>Partner closely with the COO and EA/Ops team to coordinate schedules and priorities.</li>\n<li>Work very closely with the CEO&#39;s Stanford team on competing conflicts and priorities to ensure a seamless schedule.</li>\n<li>Plan and coordinate meetings, travels, events, and logistics end to end, ensuring the right preparation, context, and follow-through.</li>\n<li>Build and maintain a lightweight operating system around priorities, open loops, follow-ups, and key commitments so important work continues moving forward.</li>\n<li>Ensure the CEO is prepared for key meetings with the right context, pre-reads, agendas, and understanding of who is in the room and what matters.</li>\n<li>Capture decisions and action items, proactively drive follow-through, and ensure nothing important gets lost between conversations.</li>\n<li>Manage and triage CEO&#39;s inbox, surfacing what requires her attention and drafting thoughtful responses when appropriate.</li>\n<li>Provide thoughtful personal support when needed, including appointments, vendors, and travel coordination, handling sensitive matters with discretion and sound judgment.</li>\n<li>Anticipate needs, identify issues early, and take initiative to resolve them proactively with minimal direction.</li>\n</ul>\n<p>Key Qualifications:</p>\n<ul>\n<li>8+ years of experience supporting c-suite, founder, or similarly high-profile leader in a fast-paced startup environment.</li>\n<li>Exceptional judgment, discretion, and ability to handle highly confidential information.</li>\n<li>Operationally minded, organized, and detail-oriented, with a natural ability to build systems, create structure, and anticipate needs in ambiguous, fast-moving environments.</li>\n<li>Demonstrated capability orchestrating very complex local and global travel logistics.</li>\n<li>Strong written and verbal communicator who can adapt thoughtfully to different working styles and build effective relationships across research, engineering, product, marketing, and operations.</li>\n<li>Experience in technology, AI, academia, or research environments is a plus.</li>\n<li>Bilingual fluency in English and Mandarin is a must.</li>\n<li>Tech-savvy, with fluency in modern productivity tools.</li>\n<li>Willingness to be in the San Francisco office 5 days.</li>\n</ul>\n<p>We are hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you are ready to help build technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.</p>\n<p>Equal Employment Opportunity: World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law.</p>\n<p>California Pay Transparency: Pay Range $200K-$250K base salary.</p>","enriched_at":1786698338921},{"id":"job_28fca84d-3e8","title":"Research Engineer/Scientist (Robot Learning)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4333272009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<h3>Role Overview</h3>\n<p>We&#39;re looking for a strong Robot Learning Engineer/Scientist to develop and advance state-of-the-art methods for developing robot policies. This role is focused on training end-to-end policies with an emphasis on sim-to-real transfer, robust performance, scalable training and inference pipelines.</p>\n<p>This is a hands-on, research-driven role for someone working at the intersection of robotics and machine learning. You&#39;ll collaborate closely with research scientists, ML engineers and system teams to translate robotic policy and its stack into production-ready systems.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Design and implement modern robot learning systems, including imitation learning, reinforcement learning for manipulation.</li>\n<li>Research, prototype, and productionize robotic policies with a focus on speed, precision and scalability.</li>\n<li>Develop and improve training pipelines for sim-to-real transfer, including domain randomization, system identification, real-sim alignment.</li>\n<li>Collaborate with simulation and infrastructure teams to minimize sim-to-real gap and ensure learning methods integrate cleanly with real-robot deployment stacks.</li>\n<li>Build end-to-end training and evaluation workflows for robot policies, from large-scale data generation to scale up training and evaluation.</li>\n<li>Optimize policy performance across the stack, including training speed, inference latency, data generation efficiency to support large scale production constraints.</li>\n<li>Diagnose failure modes in simulation and real-world rollouts, design principled solutions to improve robustness, efficiency and generalization.</li>\n<li>Contribute to technical direction by proposing new research ideas, mentoring teammates, and helping set best practices for robot learning across the organization.</li>\n</ul>\n<h3>Key Qualifications</h3>\n<ul>\n<li>6+ years of experience working on manipulation, locomotion, robot policy training, or related areas.</li>\n<li>Strong foundation in robotics, neural network designs, sim-real transfer.</li>\n<li>Deep experience with robot policy designs (e.g., VLA, WAM, diffusion).</li>\n<li>Proficiency in Python and/or C++, with hands-on experience building research or production robotic systems.</li>\n<li>Experience with deep learning frameworks (e.g., PyTorch) and low-level robotic controller.</li>\n<li>Proven ability to work in ambiguous, fast-moving environments and drive projects from concept through deployment.</li>\n<li>A strong sense of ownership and engineering rigor: you care deeply about correctness, stability, and measurable improvements.</li>\n<li>Enjoy collaborating with a small, high-caliber team and raising the technical bar through thoughtful design, experimentation, and code quality.</li>\n</ul>\n<h3>Who You Are</h3>\n<ul>\n<li>Fearless Innovator: We need people who thrive on challenges and aren&#39;t afraid to tackle the impossible.</li>\n<li>Resilient Builder: Impacting Large World Models isn&#39;t a sprint; it&#39;s a marathon with hurdles. We&#39;re looking for builders who can weather the storms of groundbreaking research and come out stronger.</li>\n<li>Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.</li>\n<li>Collaborative Spirit: We&#39;re building something bigger than any one person. We need team players who can harness the power of collective intelligence.</li>\n</ul>","enriched_at":1785204161045},{"id":"job_19b66bec-a6b","title":"Research Engineer / Scientist (SLAM)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4135311009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We're looking for a Research Engineer/Scientist to design, implement, and advance state-of-the-art simultaneous localization and mapping systems. This role is focused on modern SLAM techniques,both classical and learning-based,with an emphasis on scalable state estimation, sensor fusion, and long-term mapping in complex, dynamic environments.\n\nAs a Research Engineer/Scientist, you will:\n\n* Design and implement modern SLAM systems for real-world environments, including visual, visual-inertial, lidar, or multi-sensor configurations.\n* Develop robust localization and mapping pipelines, including pose estimation, map management, loop closure, and global optimization.\n* Research and prototype learning-based or hybrid SLAM approaches that combine classical geometry with modern machine learning methods.\n* Build and maintain scalable state estimation frameworks, including factor graph optimization, filtering, and smoothing techniques.\n* Develop sensor fusion strategies that integrate cameras, IMUs, depth sensors, lidar, or other modalities to improve robustness and accuracy.\n* Analyze failure modes in real-world SLAM deployments (e.g., perceptual aliasing, dynamic scenes, drift) and design principled solutions.\n* Create evaluation frameworks, benchmarks, and metrics to measure SLAM accuracy, robustness, and performance across large datasets.\n* Optimize performance across the stack, including real-time constraints, memory usage, and compute efficiency, for large-scale and production systems.\n* Collaborate with reconstruction, simulation, and infrastructure teams to ensure SLAM outputs integrate cleanly with downstream world modeling and rendering pipelines.\n* Contribute to technical direction by proposing new research ideas, mentoring teammates, and helping define best practices for localization and mapping across the organization.\n\nWe're looking for someone with 6+ years of experience working on SLAM, state estimation, robotics perception, or related areas. A strong foundation in probabilistic estimation, optimization, and geometric vision is required, as well as proficiency in Python and/or C++.","enriched_at":1776431448275},{"id":"job_b8a5332b-ee7","title":"Senior Product Engineer","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4089337009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We're looking for a Senior Full Stack Product Engineer who thrives at the intersection of product and engineering. As a player coach, you'll own product features end-to-end,from ideation through to building responsive, user-centric web apps and backend generative AI services and APIs. You'll also collaborate closely with our research team to bring cutting-edge AI research to life in real-world applications.\n\nResponsibilities:\n\n* Work as a Sr. Product Engineer to develop and ship products with a user-centric approach.\n* Develop and optimize web-based 3D graphics tools and applications.\n* Participate in all phases of the software development lifecycle, from design to deployment, including working directly with early testers and design partners to solicit user feedback.\n\nKey Qualifications:\n\n* Strong track record in developing and shipping successful products.\n* 6+ years of engineering experience and proven ability to operate effectively in startup environments as an early-stage engineer or founder, demonstrating adaptability and ownership.\n* Experience in building user-focused web applications.\n* Proficiency in modern web application technologies for frontend (e.g., TypeScript, React, Node.js) and backend services, and a strong understanding of web architecture.\n* Experience and strong curiosity in working with AI tools.\n* Excellent problem-solving abilities and a strong foundation in computer science principles.\n* Strong communication and collaboration skills, with a focus on delivering high-quality, impactful solutions.\n\nPreferred Qualifications:\n\n* Experience in 3D graphics programming and shader development, particularly web frameworks such as WebGL and three.js. Experience building applications around generative image, video, or 3D models is particularly valuable.\n* Experience working with generative AI, machine learning, neural rendering, etc.\n* Contributions to open-source graphics or machine learning projects.\n* Experience building real-time collaborative tools and applications.\n* Experience working in VFX, gaming, 3D design, or other industries that focus on high-fidelity visual outputs.\n\nWho You Are:\n\n* Player coach: We are looking for strong product engineers who have played pivotal roles in successful product development and launch cycles.\n* Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.\n* Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.\n* Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.\n* Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.\n\nExperience Level: senior\nEmployment Type: full-time\nWorkplace Type: onsite\nCategory: Engineering\nIndustry: Technology\nSalary Range: $250,000 - $325,000 base salary\nRequired Skills: TypeScript, React, Node.js, web architecture, AI tools, problem-solving, computer science principles, communication, collaboration\nPreferred Skills: 3D graphics programming, shader development, WebGL, three.js, generative AI, machine learning, neural rendering, open-source graphics, real-time collaborative tools, VFX, gaming, 3D design","enriched_at":1776431442848},{"id":"job_5c969383-410","title":"Research Engineer / Scientist (3D Tech Lead)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4110164009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We're looking for a Tech Lead for 3D Modeling & Reconstruction to set technical direction and drive execution for our core 3D modeling efforts. This role is ideal for someone with a strong research science (RS) or research engineering (RE) background who has made meaningful contributions to the field of 3D reconstruction and/or modeling,through academic publications, widely used open-source projects, or production systems deployed at scale.\n\nThis is a hands-on leadership role. You'll combine deep technical expertise with the ability to guide a high-impact team, shaping both the research roadmap and the production systems that bring modern 3D modeling methods into real-world products. You'll work closely with research, engineering, and product partners to translate cutting-edge ideas into reliable, scalable capabilities.\n\nKey responsibilities include:\n\n* Setting the technical vision and roadmap for 3D modeling and reconstruction, balancing research exploration with product-driven milestones.\n* Leading the design and implementation of state-of-the-art 3D modeling systems, spanning geometry, appearance, and scene-level representations.\n* Driving innovation in modern 3D modeling approaches, including learning-based and optimization-based methods, with an eye toward robustness, scalability, and real-world data.\n* Guiding architectural decisions around 3D representations, training pipelines, and inference systems, ensuring they integrate cleanly with broader 3D data and rendering platforms.\n* Leading and mentoring a small team of research scientists and/or research engineers: providing technical guidance, setting high standards, and fostering a culture of rigor and ownership.\n* Owning end-to-end execution of key initiatives, from early research prototypes through production deployment and iteration.\n* Collaborating closely with cross-functional partners to align 3D modeling capabilities with product needs, timelines, and quality bars.\n* Representing the team and its work internally and externally, including contributing to publications, technical talks, or open-source efforts where appropriate.\n* Continuously evaluating emerging research and industry trends in 3D modeling and reconstruction, and translating the most promising ideas into actionable plans.\n\n-note: This job requires 8+ years of experience in 3D reconstruction, 3D modeling, computer vision, graphics, or closely related fields. A strong track record of impactful contributions to the field, demonstrated through academic publications, influential open-source work, or widely deployed industry products.","enriched_at":1776431414156},{"id":"job_2e513a92-ec5","title":"Research Scientist (Generative Modeling)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4089324009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We are seeking a talented Research Scientist with a strong background in generative modeling, particularly diffusion models, to join our modeling team. This role is ideal for candidates with deep expertise in diffusion models applied to images, videos, or 3D assets and scenes.\n\nWhile experience in one or more of the following areas is a strong plus: large-scale model training, research in 3D computer vision.\n\nYou will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment.\n\nKey responsibilities include designing, implementing, and training large-scale diffusion models for generating 3D worlds, developing and experimenting with large-scale diffusion models to add novel control signals, adapting to target aesthetic preferences, or distilling for efficient inference, collaborating closely with research and product teams to understand and translate product requirements into effective technical roadmaps, contributing hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment, continuously exploring and integrating cutting-edge research in diffusion and generative AI more broadly, acting as a key technical resource within the team, mentoring colleagues, and driving best practices in generative modeling and ML engineering.\n\nIdeal candidate profile includes 3+ years of experience in generative modeling or applied ML roles, extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative models, deep expertise in at least one area of generative modeling, strong history of publications or open-source contributions involving large-scale diffusion models, strong coding proficiency in Python and experience with GPU-accelerated computing, ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes, comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.\n\nNice to have includes contributions to open-source projects in the fields of computer vision, graphics, or ML, familiarity with large-scale training infrastructure, experience integrating machine learning models into production environments, led or been involved with the development or training of large-scale, state-of-the-art generative models.","enriched_at":1776431396134},{"id":"job_3a7e27c3-92a","title":"Pipeline Engineer (Graphics/3D)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4093035009","location":"San Francisco","job_type":"full-time","experience_level":null,"work_arrangement":"remote","category":"Engineering","description":"<p>We are building a production-grade web application for 3D Gaussian Splat scene generation, editing, and publishing. We&#39;re looking for a Pipeline Engineer to help integrate cutting-edge research features and make them reliable, debuggable, and delightful to use.</p>\n<p>This is a high-ownership, fullstack-but-backend-heavy role that sits between R&amp;D and frontend. You will work end-to-end across graphics/ML algorithms, backend services, and frontend UI , turning proof-of-concepts into shipped features that users can rely on. The ideal candidate enjoys making complex, messy systems work smoothly in production and improving them continuously based on both internal testing and external user feedback.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Bridge research and product by working closely with both graphics/computer vision researchers and frontend engineers to ship usable features.</li>\n<li>Turn standalone Python scripts into clean, production-ready systems with clear inputs, outputs, validations, and failure modes.</li>\n<li>Develop backend services, APIs, and tooling that expose complex 3D workflows in a reliable and scalable way.</li>\n<li>Assist in integrations across the 3D ecosystem, including asset import/export and format conversion with common DCC tools.</li>\n</ul>\n<p><strong>Ideal Candidate Profile</strong></p>\n<ul>\n<li>You have a strong pipeline mindset, with experience turning scripts into production systems with clear inputs, outputs, validations, and failure modes.</li>\n<li>You enjoy building tools and infrastructure that enable others, and you take pride in making complex systems understandable and usable.</li>\n<li>You have fluency in the 3D ecosystem, including familiarity with 3D algorithms, DCC tools and common 3D file formats, sufficient to design integrations and debug workflow issues.</li>\n</ul>\n<p><strong>Minimum Qualifications</strong></p>\n<ul>\n<li>Strong proficiency in Python, including packaging, typing, tooling, debugging, and performance profiling.</li>\n<li>Strong literacy in core 3D graphics and computer vision concepts, such as transforms, cameras, coordinate systems, rendering, and visual artifact debugging.</li>\n<li>Demonstrated experience taking prototypes to production, including refactoring, testing, CI/CD, versioned artifacts, and reproducibility.</li>\n<li>Solid backend fundamentals, including HTTP APIs, FastAPI (or similar frameworks), async/concurrency basics, cloud deployment, and service reliability.</li>\n</ul>\n<p><strong>Strongly Preferred / Nice-to-Haves</strong></p>\n<ul>\n<li>Experience with photogrammetry, 3D reconstruction, or Gaussian splat rendering pipelines.</li>\n<li>Hands-on experience with DCC tools such as Blender, Maya, Houdini, Unreal, or Unity.</li>\n<li>Familiarity with the GPU stack (CUDA, PyTorch), batch/queue systems, and containerization (Docker, Kubernetes).</li>\n<li>Frontend adjacency, with comfort collaborating on React-based parameter plumbing and UX for technical controls.</li>\n<li>Experience with production pipelines at VFX, animation, or gaming studios.</li>\n<li>A production support mindset, including willingness to iterate on documentation, tutorials, and error messages to improve usability and reduce misuse.</li>\n</ul>\n<p><strong>Example Projects You Might Work On</strong></p>\n<ul>\n<li>Packaging ML and 3D Python pipelines into GPU-backed FastAPI services with request validation, reproducible outputs, and well-defined request/response schemas.</li>\n<li>Designing parameter schemas and defaults that map cleanly from frontend controls to backend APIs and internal pipeline configurations.</li>\n<li>Integrating import/export workflows with popular DCC tools (e.g., Blender, Maya, Houdini, Unity, Unreal, USD), identifying workflow friction, and producing lightweight documentation, tutorials, and example code/scripts to help users succeed.</li>\n</ul>\n<p><strong>Who You Are</strong></p>\n<ul>\n<li>Fearless Innovator: We need people who thrive on challenges and aren&#39;t afraid to tackle the impossible.</li>\n<li>Resilient Builder: Impacting Large World Models isn&#39;t a sprint; it&#39;s a marathon with hurdles. We&#39;re looking for builders who can weather the storms of groundbreaking research and come out stronger.</li>\n<li>Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.</li>\n<li>Collaborative Spirit: We&#39;re building something bigger than any one person. We need team players who can harness the power of collective intelligence.</li>\n</ul>\n<p>We&#39;re hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you&#39;re ready to work on technology that will reshape how machines perceive and interact with the world - then World Labs is your launchpad.</p>\n<p>Join us, and let&#39;s make history together.</p>","enriched_at":1776431363876}],"category_normalised":[{"category":"engineering","count":6},{"category":"sales","count":1},{"category":"operations","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":5},{"week_start":"2026-07-27","count":1},{"week_start":"2026-08-10","count":2}],"trend":"stable","wow_pct":100},"momentum":{"recent_14d":0,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":262500,"industry_median":null,"percentile":null,"sample_size":2,"by_region":[{"region":"United States","company_median":262500,"industry_median":null,"sample":2}],"transparency_pct":25,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":8,"industry_total":8,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.307,"skill_weighted_score":0.402,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"C++","count":3,"score":0.46},{"skill":"Python","count":5,"score":0.368}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":8,"share_pct":100}],"emerging":[],"shrinking":[{"region":"United States","recent_30d":0,"prior_30d":3,"growth_pct":-100}]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":88,"industry_median_days_open":null,"long_open_count":5,"closure_rate_pct":0}}}}