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Location: Paris; Palo Alto; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Strategic Data & Licensing Partnerships Negotiator on the Strategic Data & Licensing Partnerships team, you will drive the acquisition of premium content and negotiate complex agreements to secure high-value data and content for AI training, RAG, and distribution. Your work will enable Mistral AI to access quality, relevant sources while building long-term relationships with publishers, universities, research institutions, and data providers. You will collaborate closely with cross-functional teams to align content sourcing with Mistral AI’s strategic interests, ensuring innovative and ethical use of data. This role is for a results-driven negotiator who thrives in high-stakes deal-making and understands the intersection of AI, academic content, and ethical data practices. WHAT YOU WILL DO - Build and manage a pipeline of high-quality content (STEM, academic, robotics, multimedia) while vetting providers for legal and business compliance. - Negotiate complex, multi-pronged agreements (licensing, revenue-sharing, co-development) with publishers, universities, and research institutions. - Develop long-term partnerships that promote fair compensation and sustainability for content creators and owners. - Collaborate with internal teams (Science, Product, Go To Market) to align procurement with their objectives and evaluate "make vs. buy" options. - Provide regular reports and analytics on procurement activities to support data-driven decision-making. - Design programs that foster ethical and scalable content sourcing, balancing internal development with external licensing. WHAT WE'RE LOOKING FOR - Proven track record negotiating and closing complex deals ($10M+), including licensing, revenue-sharing, or co-development agreements. - Deep understanding of AI training data ecosystems and the ability to translate technical needs into business terms. - Legal acumen in data acquisition and content licensing, including knowledge of global copyright laws. - Strong STEM background (degree in Science, Technology, Engineering, Mathematics, or related field) and passion for academic content. - Excellent communication and stakeholder management skills, with experience negotiating with C-level stakeholders. - Business acumen in market analysis and financial modeling (e.g., DCF analysis). - Fluency in English and French; additional languages (e.g., German) are a plus. - Existing network in publishing, academic, or research communities or experience with AI training data (pretraining, RAG, synthetic data). WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: US, San Diego, CA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We’re hiring a Software Engineer to join our Platform Infrastructure team in San Diego. You’ll partner with a technical lead engineer and embedded in device identity and security—this is one area form the backbone of how we build, provision, deploy, and manage our robots at scale. You will have the opportunity to contribute to: - Device Identity & Security — The cryptographic chain of trust from secure boot through disk encryption and device attestation to cloud enrollment. Key management infrastructure, certificate lifecycles, and the tooling that ensures only trusted software runs on trusted hardware. This role is designed for someone who is curious, technically sharp, and eager to learn, grow and build. Much of what you’ll work on—from secure boot pipelines to fleet-scale cloud infrastructure—isn’t taught in a classroom. We’re looking for the right attitude, aptitude and experience. We’ll invest in continuing your development into a world class platform engineer.   WHAT YOU'LL DO Our platform infrastructure spans from the factory floor to the cloud and everything running on the robot in between. - Build and ship software — Write production-quality code that contributes to our platform infrastructure, from backend services and automation tooling to provisioning and test systems. - Learn alongside experts — Pair directly with a senior engineer who will mentor you in your focus area while giving you real ownership of deliverables. - Collaborate across a global team — Work daily with firmware, applications, cloud, manufacturing, systems, and operations team members across the local San Diego office and global offices in London, Boston, and Vancouver. - Embrace agentic development workflows — Use modern AI-assisted coding tools and practices we expect everyone on the team to leverage these to move faster with higher quality. - Own your growth — As the team scales and business needs evolve, your focus within the platform infrastructure workstream will grow with you.   WHAT WE'RE LOOKING FOR - Strong technical communication — You can explain your thought process clearly to a technical teammate, in writing and in person. - Receptive to feedback — You have a demonstrated history of receiving and responding to feedback constructively. - Leans into hard problems — You don’t shy away from unfamiliar territory; you dig in and figure it out. - Humble — You are able to put your own ideas aside, listen, and genuinely consider others’ perspectives. - Collaborative — You see knowledge as something to share, not withhold, in order to solve problems faster, together. - Responsible — You strive to understand the “why” of your work and have the passion and ambition to push to get it over the line. - Technically grounded — You have a solid foundation in CS fundamentals and can write clean, readable code even if you’re still building experience in our specific stack. Experience: - 5+ years of professional experience. - B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field. - Proficiency in at least one systems or backend language (Python, C/C++, TypeScript, or Rust). - Proficiency in AI tools for research, iteration, feedback, development and test. - Comfort working in Linux environments. - Ability to work on-site at our San Diego office.   WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $155,000-$185,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. - Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines. - Manage research projects and communications with client research teams. WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Preferred duration: at least 6 months. Priority to candidates about to finalise their studies. - Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: UK, London; US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics. WHAT YOU'LL DO - Team Leadership & Product Security Delivery - Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle. - Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems. - Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture. - Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms. Security Assurance & Certification - Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation. - Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act. - Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users. - Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification. Incident Response & Lifecycle Security - Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis. - Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations. Commercial & Bid Support - Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope. - Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions. WHAT WE'RE LOOKING FOR - Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes. - Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments. - Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context. - Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development. - Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner. - Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence. Preferred: - Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. - Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths. - Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems. - Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme. - Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments. - Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS). WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. WHY THIS BET Most humanoid efforts are racing toward fully general-purpose bipeds with five-fingered hands. We made a different call — informed by direct customer conversations and a team that has actually deployed robots at fleet scale in prior companies. Our wedge is the practical one: wheeled industrial humanoids that solve real customer problems today, on a generalized hardware platform with generalized learning paradigms. What that means for the role: The combination of generalized hardware and generalized learning lets us deploy and integrate astonishingly fast — high-performance capability landing in customer facilities in days to weeks, not quarters. Industrial customers used to the multi-quarter integration cycles that are the industry norm consistently tell us this looks different. It is. HOW WE THINK ABOUT AI The AI stack is our long-term flywheel. We are aggressively pushing the envelope on modern robot learning — fleet learning, embodied agents, foundation models for autonomy — and leveraging AI agents across the product workflow itself. The platform is generalized enough that a capability trained once propagates across every robot in the field. Our public AI white paper has more: https://thehumanoid.ai/ai/ ABOUT THE ROLE As VP of Industrial Product Engineering, you will be the single engineering owner of industrial product delivery — the person who, across hardware, software, AI, and system integration, makes sure what we ship is what our customers actually need, in the order they need it, on the timeline they need it. You won't run a siloed sub-org. You will work as a peer to our functional engineering leaders — hardware, software, AI, test — leading prioritization for engineers dedicated to the industrial product. Think of this as a technical GM for industrial: you own what and when; you partner with functional leads who own how. This role reports directly to the CTO. WHAT YOU'LL DO - Own end-to-end engineering delivery for the industrial product — from design, through pilots, through scale and iteration in the field — across HW, SW, AI, and system integration & test. - Direct prioritization for the engineers hard-allocated to industrial across our matrixed functions (industrial / common / home). Partner closely with functional leads on shared platform work, and with Ops on manufacturing readiness. - Be the single source of truth on industrial engineering delivery and forward roadmap for the CEO, Commercial team, Product, and customers. - Build a delivery engine that releases production software on a fast, predictable cadence and that scales beyond the first industrial product line. WHAT YOU BRING - 15+ years in engineering leadership, with a track record of shipping multi-disciplinary HW/SW/AI products at meaningful scale. - Software-biased background. Most of the long-term work here is software and AI — deployment, fleet learning, capability iteration. We need a leader whose center of gravity is software, with the HW and AI fluency to drive us to a world-class holistic product. - Deep understanding of the industrial market — what real industrial customers in logistics, manufacturing, automotive and adjacent verticals actually buy, integrate, and rely on. UK or EU industrial experience is a strong plus; US industrial deployment experience is equally valued. - Demonstrated ability to lead through influence in a matrix — you have driven outcomes across teams you didn't directly manage, and you can show how. - You have taken product from zero to one, and have delighted customers with innovative solutions to solve their real pain points. - Deep technical credibility across HW, SW, and modern AI — enough to debate functional leads as a peer, not just review their work. - Comfort operating across distributed teams (London, Boston, Vancouver, San Diego). - Calibrated for the pace of a company moving from prototype to production at the same time it's raising and growing. WHAT SUCCESS LOOKS LIKE AT 12 MONTHS - Long term pilots transition smoothly into scaled deployments at multiple customer locations. - Robots in reliable operation around the clock, delivering to strict SLAs. - HW, SW, and AI are all moving at best-in-class quality — none of the three is sacrificed to hit a near-term gate. LOCATION London required. The role requires daily proximity to the people you'll be coordinating with across engineering/ops/product/business. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Monclova, Mexico; Monterrey, Mexico Company Overview Our client operates in a contract manufacturing and industrial manufacturing environment focused on fabrication, welding, assembly, electrical integration, and coating of complex modular systems. Our high-mix, engineered-to-order production environment requires disciplined execution, Lean Manufacturing, Continuous Improvement, and scalable operational leadership to support rapid growth and production demands across large-scale manufacturing facilities. Position Overview Uptalent is seeking a Plant Manager – Manufacturing to lead full-site operations at our Monclova, Mexico facility. The Plant Manager will oversee Manufacturing Managers, Production Managers, Value Stream Managers, and Supervisors while driving performance across fabrication, welding, industrial assembly, electrical integration, and paint operations. This Plant Manager role is responsible for full operational execution, scaling production, and delivering against throughput, quality, safety, and on-time delivery in a contract manufacturing environment. This role owns a large-scale manufacturing P&L ($100M+) and requires strong financial leadership, operational discipline, and experience scaling manufacturing operations in industrial environments. Key Responsibilities Plant Leadership & Manufacturing Operations Lead full-site manufacturing operations as a Plant Manager across fabrication, welding, industrial assembly, electrical integration, and paint Oversee Manufacturing Managers, Production Managers, Value Stream Managers, and Supervisors across all production functions Drive execution in a high-mix, engineered-to-order contract manufacturing environment Ensure alignment of production schedules, system integration activities, and Bill of Materials (BOM) execution across all departments Scale operations to support production growth, capacity expansion, and facility performance Lean Manufacturing & Continuous Improvement Lead enterprise Lean Manufacturing initiatives including 5S, Kaizen, and Continuous Improvement programs across the plant Apply Six Sigma, Root Cause Analysis, 5 Whys, and Fishbone methodologies to eliminate defects and improve performance Drive plant-wide improvements in throughput, cycle time, and operational efficiency Standardize processes and scale best practices across fabrication, welding, assembly, electrical, and paint operations KPI Ownership & Operational Performance Own plant-level KPIs including on-time delivery, on-time release, inventory turns, throughput, safety, and quality Drive ISO9001 compliance and ensure quality systems are embedded across all manufacturing functions Improve defect rates, reduce rework, and increase production stability Establish performance accountability across all levels of the organization Financial Ownership & P&L Management Own and manage a large manufacturing P&L ($100M+), including cost control, labor efficiency, and operational spend Partner with Finance on budgeting, forecasting, and cost optimization strategies Drive margin improvement through operational efficiency, waste reduction, and process optimization Monitor cost drivers including labor, material utilization, and overhead Safety, Quality & Compliance Lead plant-wide safety performance, ensuring compliance with OSHA standards and internal safety protocols Maintain a strong safety culture with measurable KPIs and continuous improvement initiatives Ensure compliance with ISO9001 and internal quality standards across all operations Cross-Functional Alignment Partner with Engineering to resolve system integration challenges, fitment issues, and design improvements Collaborate with Supply Chain to ensure material availability, BOM accuracy, and inventory performance Work with Quality to enforce standards and drive corrective actions Align with Program Management to support production schedules and delivery commitments Leadership & Organizational Development Build and lead a high-performing manufacturing organization across all production functions Develop Manufacturing Managers, Production Managers, and Supervisors to drive operational excellence Establish leadership accountability and performance standards across the plant Support workforce development including technical training, certifications, and leadership growth Requirements Required Qualifications 10–15+ years of experience in manufacturing leadership roles including Plant Manager, Operations Manager, or Manufacturing Manager Extensive experience managing large-scale manufacturing P&L ($100M+) Experience in contract manufacturing and industrial manufacturing environments Strong background across fabrication, welding, industrial assembly, electrical integration, and paint operations Proven experience leading Lean Manufacturing, Continuous Improvement, and Six Sigma initiatives Experience managing plant-level KPIs including throughput, inventory turns, on-time delivery, safety, and quality Strong operational and financial leadership experience in high-mix, engineered-to-order manufacturing environments Based in, or willing to relocate to, Monclova, Mexico or Monterrey, Mexico for a hybrid role Eligible to work in Mexico Preferred Qualifications Bachelor’s degree in Industrial Engineering, Mechanical Engineering, or a related technical discipline Experience scaling manufacturing operations in high-growth environments Experience with automation, welding robots, or advanced manufacturing processes Certified welder or electrician credential a plus Six Sigma or Lean Manufacturing certification, or experience with structured problem-solving methodologies Experience in data center manufacturing or infrastructure projects Experience in generator manufacturing Experience in switchgear or electrical equipment manufacturing Experience in BESS (battery energy storage systems) or battery systems manufacturing Experience in modular construction or modular manufacturing Experience in steel and metal fabrication manufacturing environments Benefits What We Offer The opportunity to work with leading and fast-growing companies across the North American market. Highly competitive compensation for top talent. A stable, long-term position with strong growth opportunities and the chance to continue developing your career.

Location: San Francisco, CA; US - Houston, TX (Remote) Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role As a Solutions Architect at Niantic Spatial, you’ll own technical solutioning from early customer discovery through commercial structuring and delivery. This role serves as the primary technical partner to Business Development, Sales, and strategic customers. We welcome candidates from backgrounds in Solutions Engineering, Customer Engineering, Technical Consulting, Solution Architecture, or technical pre-sales roles. As the primary technical counterpart for strategic commercial customers, you’ll lead discovery and align development to reusable, platform-aligned capabilities rather than one-off builds — translating operational needs into architectures that integrate cleanly into existing enterprise systems, field workflows, and robotic platforms. You’ll partner closely with Product Management so customer requirements shape the roadmap, and you’ll be central to developing, closing, and implementing new business across priority verticals — with a focus on Energy and Industrial — leveraging Niantic Spatial solutions such as Intelligent Field Operations, Reconstruction, Semantics, and Robotics. What You’ll Do Customer architecture & technical leadership - Own the technical relationship and technical success for assigned commercial and strategic accounts from discovery through implementation, with priority focus on Energy customers leveraging Intelligent Field Operations and Semantics. - Design end-to-end solution architectures (logical and physical) covering deployment, scaling, reliability, safety, and security across cloud, edge, and device environments. - Lead technical workshops to capture operational objectives, requirements, and success criteria, and translate them into implementation-ready designs tailored to field environments. Solution development & commercial proposal support - Provide technical inputs to customer proposals, pilots, statements of work (SOWs), and commercial agreements. - Lead technical solution documentation — architecture diagrams, integration approaches, deployment models, security considerations, and implementation plans. - Partner with Sales/BD on technical differentiators, value narratives, demonstrations, and scoping assumptions aligned to customer ROI and operational impact. Integration into enterprise & operational ecosystems - Ensure solutions integrate into customer environments — identity systems, data platforms, GIS/geo services, robotics stacks, enterprise integration patterns, observability, and device constraints. - Define integration patterns, APIs, and data flows across cloud, edge, and on-device systems; document operational runbooks and deployment/upgrade strategies suited to distributed field operations. Product feedback loop - Communicate customer needs, gaps, and technical requirements to Product Management and Engineering, influencing roadmap and prioritization with structured feedback from engagements, pilots, and deployments. - Provide structured input on emerging use cases across Intelligent Field Operations, Semantics, and Robotics. Delivery partnership - Collaborate with delivery teams and partners to ensure architectures are implemented as designed; support escalations, performance optimization, field validation, and post-launch adoption. - Support pilots and early deployments, ensuring measurable operational outcomes and scalable production transitions. - Maintain a set of repeatable demos for commercial prospects; use demo feedback to inform proposals and the product roadmap. What You’ll Bring - 8+ years in Solutions Architecture, Solutions Engineering, Customer Engineering or Systems Engineering, or related customer-facing technical roles supporting enterprise or industrial customers. - Demonstrated experience developing solution architectures and contributing to commercial proposals, pilots, or customer-facing technical documentation. - Strong architecture fundamentals across cloud and hybrid deployments, edge computing, networking, identity, security controls, and operational monitoring; enterprise integration (APIs, data pipelines, event-driven systems); and edge/device-constrained, distributed systems operating in real-world field conditions. - Experience supporting customers in at least one of: Intelligent Field Operations (utilities, energy, telecom, logistics, asset inspection, industrial automation); robotics platforms (mobile robots, drones, autonomy stacks, perception/localization); or geospatial, mapping/GIS, spatial computing, or AI-driven perception systems. - Ability to translate operational needs into implementable architectures and explain tradeoffs to both technical and non-technical stakeholders. - Excellent written communication, with the ability to produce high-quality technical documentation and customer-facing materials. Nice to Have - Experience selling into Energy verticals, and Oil & Gas specifically. - Experience with robotics software stacks (e.g., ROS/ROS2), autonomy systems, SLAM/localization, or sensor fusion. - Experience deploying AI/ML or perception systems in real-world operational environments. - Familiarity with safety, reliability, and operational constraints in industrial or field-based systems. - Prior experience partnering with Product Management to turn customer requirements into roadmap outcomes. Compensation & Benefits $171,000 - $215,000 · annual bonus · equity · comprehensive benefits Location & Work Model San Francisco Bay Area or Houston, TX (remote). If in San Francisco: Hybrid — at least 3 days per week in office. Inclusive Application We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Manufacturing Engineer – Effectors An advanced aerospace and defense technology company is seeking a hands-on Manufacturing Engineer to help scale next-generation interceptor and autonomous defense systems from prototype development into high-rate production. This role sits at the intersection of product engineering, manufacturing strategy, and production execution. The ideal candidate will bring strong Design for Manufacturing & Assembly (DFMA) experience, a deep understanding of producibility, and practical experience scaling hardware from low-volume development into repeatable, cost-optimized manufacturing environments. This is a highly collaborative and hands-on position for someone who enjoys working directly with hardware, influencing design decisions early, and helping build manufacturing capability from the ground up. Responsibilities Design for Manufacturing & Assembly (DFMA) Lead DFMA reviews throughout concept development, design reviews, prototyping, and production readiness phases Influence hardware designs for manufacturability, scalability, cost efficiency, and assembly optimization Evaluate tolerance stack-ups, GD&T strategies, joining methods, and assembly flow Help simplify part counts, interfaces, fastener strategies, and production processes Develop assembly sequencing approaches optimized for throughput and takt time Support material and process selection decisions with a focus on scalable production Producibility & Production Engineering Perform producibility assessments, process capability evaluations, and yield analysis Develop manufacturing plans, work instructions, routing flows, and MBOM structures Support make-versus-buy decisions alongside supply chain and operations teams Identify tooling, fixture, and capital equipment requirements needed for scale-up Analyze bottlenecks, cycle times, and production rate sensitivities Drive process improvements focused on throughput, quality, and cost reduction Prototype & Transition-to-Production Support Support manual prototype builds, assembly activities, and early production efforts Provide hands-on troubleshooting support during pilot builds and ramp activities Participate in root cause investigations and corrective action implementation Support First Article Inspection (FAI), qualification efforts, and production validation Collaborate closely with design, quality, supply chain, and test engineering teams Assist with supplier readiness, manufacturing transfers, and production scaling initiatives Continuous Improvement & Factory Scaling Develop scalable manufacturing strategies for high-rate production environments Implement automation, poka-yoke, and error-proofing concepts where appropriate Support MES, ERP, and PLM manufacturing workflows Analyze yield, cost, rework, and throughput metrics to improve manufacturing performance Help establish long-term production infrastructure and scalable manufacturing operations Qualifications Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or related STEM field 5+ years of experience in aerospace, defense, automotive, robotics, semiconductor, or other high-rate manufacturing environments Strong DFMA and producibility engineering experience Experience transitioning hardware from development/prototype phases into production Working knowledge of: GD&T (ASME Y14.5) Tolerance stack-up analysis Manufacturing process capability concepts (Cp/Cpk) Root cause methodologies (8D, RCCA, Fishbone, etc.) Experience developing: Manufacturing documentation MBOMs Work instructions Process flows Production routing sequences Proficiency with CAD tools such as SolidWorks, Creo, CATIA, or similar Ability to work hands-on in fast-paced development and production environments U.S. citizenship required; ability to obtain and maintain a DoD security clearance required Preferred Experience Missile, interceptor, UAV, autonomous system, or aerospace hardware manufacturing High-rate production scaling experience (100k+ units/year environments strongly valued) Startup or greenfield manufacturing build-out experience Automated assembly systems or robotics integration Composites, harness integration, or electromechanical assembly experience Experience with PLM, MES, or ERP manufacturing systems Experience conducting Manufacturing Readiness Level (MRL) assessments Exposure to contract manufacturing, supplier industrialization, or production transfer activities What Makes This Opportunity Unique This role offers the opportunity to help build a manufacturing capability from the ground up inside a rapidly scaling aerospace and defense environment. The team is looking for engineers who can bridge product development and manufacturing execution — people who understand not only how to design hardware, but also how to build it efficiently, repeatedly, and at scale. You’ll have significant ownership early, working directly with prototype hardware today while helping shape long-term production strategy for future high-rate manufacturing operations. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment U.S. citizenship required due to security and export control requirements 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $110,000 – $160,000 / year

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor. This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical. WHAT YOU’LL DO - Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform - Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation - Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics - Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why - Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting - Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production WHAT WE’RE LOOKING FOR - Strong backend engineering skills in Python, Go, or similar - Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance) - Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code - Comfort working across the stack from frontend to backend - Experience with observability and alerting in systems where failures have real operational consequences - Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow NICE TO HAVE - Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context - Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions - Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language - Experience integrating with third-party enterprise systems (WMS, ERP, or similar) - Background in robotics or real-time systems where execution state and side-effects need to be managed carefully WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy. This is a deeply technical, hands-on role. You will write production-grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams. WHAT YOU’LL DO: - Develop and maintain device software across the full episode lifecycle: session initialisation, per-sensor stream management, episode recording, and graceful shutdown - Integrate and synchronise sensor streams - wrist and head cameras, 6-DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally-aligned, policy-consumable trajectories - Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines - Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset - Own operator-facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried - Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection - Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid-episode WE’RE LOOKING FOR: - Experience in embedded or device-level software in a robotics or sensing context - writing code that runs on the device, not just talking to it - Proficiency in C++ and/or Python for real-time sensor drivers, inter-process communication, and data recording pipelines - Solid understanding of multi-modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML - Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing - Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams - Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue NICE TO HAVE: - Experience with 6-DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes - Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce - Exposure to operator-facing tooling for data collection: session management, per-episode quality summaries, rejection and retry workflows - Experience scaling device software from a small number of prototype units to many devices operated by non-engineers in the field WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Autonomy Engineer focused on SLAM & Navigation to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments. WHAT YOU'LL DO - Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces. - Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry. - Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time. - Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training. - Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories. - Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra-low latency execution on edge compute. - Translate cutting-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap. WHAT WE'RE LOOKING FOR - Deep expertise in classical SLAM and multi-view geometry, including extensive hands-on experience with state estimation, visual/LiDAR odometry, and multi-sensor fusion. - Experience handling backend map optimization and solving the unique structural challenges associated with long-term mapping in large or changing physical environments. - Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models. - Proven ability to build scalable data pipelines or auto-labeling workflows tailored for geometric and spatial datasets. - Proficiency in C++ and Python, with a track record of writing clean, highly parallelized, production-grade algorithmic code. - Hands-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real-world robotics. - A research-to-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Home Based - Americas Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS  in the cloud. In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include  AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform. The role of a Sales Development Representative at Canonical Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies. Click HERE to watch our SDR team discuss their role in Canonical What your day will look like Handle inbound customer inquiries across email, phone and chat Execute outbound sales & marketing campaigns Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities Collaborate across multiple teams and senior stakeholders to drive results Work directly with marketing on campaigns Research information about prospective customers Generate a multi-million pound pipeline Identify prospects and market trends Help define the processes and policies for the team Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities Accurately create, update, maintain and nurture leads on global opportunities What we are looking for in you Excellent academic results at school and university Passion for business and technology Commitment to continuous learning and improvement - curious, flexible, scientific Creative problem solving and cross team collaboration Verbal and written communication skills Result driven with an over-achiever spirit Persistence & perseverance What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner. Personal learning and development budget of 2,000USD per year Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across North America (west coast only) and the UK — we also have offices in San Francisco, Seattle, and London. Japan has been one of Runway’s fastest-growing markets, even without a major commercial presence – it's our third-largest market among both enterprise and self-serve customers, and the fastest-growing self-serve market in Asia. In addition to millions of individual users, we've seen 300% growth in enterprise customers in the past 12 months, and Japan has driven a third of our sales volume in Asia overall. As a result, we are looking for a Creative Workflow Architect to join our fast growing creative team. You’ll work closely with our Sales and Account Management teams to convey the value of Runway to Enterprise prospects and customers, specifically in the Japan market. As a user of Runway yourself and a content creator, you will handle pre and post-sale work, ensuring that customers are using Runway to it’s full potential, as well as any creative work in the product, inclusive of media content, presets, featured workflows, etc. You’ll also have a hand in any marketing sprints for model and feature releases. This role requires full professional bilingual fluency in Japanese and English. Things are always moving quickly at Runway. We need team members with an agile and dynamic mentality who are comfortable with change and always willing to go above and beyond to ensure a job is done optimally. WHAT YOU’LL DO - Creatively push the models available on Runway further using workflows and custom pipelines - Craft content and lead demonstrations to show Enterprise prospects and customers how to leverage and utilize Runway most strategically - Partner with our Sales and Creative teams to provide guidance and training to Enterprise prospects and customers. - Highlight and explain common use cases and workflows for Enterprise organizations - Serve as the day-to-day product expert for both pre and post sales conversations; help businesses understand the potential of utilizing Runway in their creative pipeline - Be a champion for our customers and work with our internal teams to translate customer feedback into product insights; liaise between customers and our internal teams in order to provide the best support and experience possible WHAT YOU’LL NEED - Full professional bilingual fluency in Japanese and English - Experience & expertise creating content from end to end - Experience working with Japanese enterprises a plus - Passion for experimentation when it comes to content creation and creative workflows- you care more about “how we get there” than “the destination” - Comfort working with creative tools in addition to Runway (Adobe, DaVinci Resolve etc), as well as an understanding of our technical and competitive landscape - You love sharing and presenting the things you’ve built - Ability to deliver complex information to customers in a clear and concise way - Ability to thrive in a constantly changing and growing environment - Excitement about AI and motivation to continuously learn more about this new and exciting space! Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model. As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user. This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work. Key responsibilities Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage Partner with computer-use researchers Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows Instrument products and use usage data to drive prioritization and measure progress Translate fuzzy user pain points into concrete, shippable features for knowledge workers Minimum qualifications Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company Strong full-stack engineering skills, including production web frontend and backend development Hands-on experience building with LLM APIs, prompting, or agent frameworks A track record of shipping to external users and iterating based on their feedback Preferred qualifications Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer Experience with browser automation, desktop automation, or robotic process automation systems Experience building evals or quality harnesses for machine learning systems Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics Experience designing agent loops, tool integrations, or guardrails for LLM-based systems Representative projects Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: South Africa; Pakistan; Philippines; Ethiopia; Jamaica; Colombia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is an established leader in holistic and naturopathic medicine, providing comprehensive wellness solutions for over 35 years. Specializing in an integrative approach to healthcare, the team focuses on identifying and treating the root causes of illness through a diverse range of services, including traditional Chinese medicine, regenerative therapies, and clinical nutrition. They serve a wide demographic, from pediatrics to geriatric care, offering personalized treatment plans that emphasize longevity and the body’s innate healing capabilities. As a mission-driven organization in the health and wellness sector, the team is dedicated to empowering patients through education and proactive lifestyle management. They foster a supportive and compassionate work environment where clinical expertise meets empathetic care. Operating from a premier facility in Hawaii, the practice integrates cutting-edge diagnostics with natural medicine to deliver life-changing results. This is an opportunity to join a seasoned team of professionals passionate about the future of whole-person wellness and integrative health. Job Type Full-time Job Summary This company is a premier holistic health and wellness clinic in Hawaii with a 38-year legacy of transforming lives through naturopathic medicine, acupuncture, and traditional wellness practices. We are seeking a high-energy, proactive Patient Care Coordinator to serve as the primary point of contact for our patients. This is not just a "reception" role; you are the bridge between a patient’s health struggle and their path to healing. Your goal is to manage high-volume outreach, build instant rapport, and ensure that every individual seeking care is successfully booked and confirmed. If you are a confident communicator who thrives in a fast-paced environment and wants to make a tangible impact on people's health, this is the role for you. Key Responsibilities Manage a high volume of outbound and inbound activity, maintaining a standard of 150+ dials per day to new leads, existing patients, and follow-ups. Serve as the first point of contact, answering all incoming calls with a professional, warm, and authoritative voice. Schedule and book appointments for a wide range of services, including IV Therapy, Acupuncture, and General Naturopathic consultations. Proactively follow up on website leads and re-engage former patients to ensure continuity of care. Handle common patient objections regarding pricing, insurance, and decision-making with empathy and confidence. Maintain meticulous records in Google Sheets and Google Calendar to ensure the clinic schedule is optimized. Execute text and email follow-up sequences to minimize no-show rates and keep the patient pipeline moving. Requirements Proven experience in appointment setting or high-volume outbound calling. Exceptional verbal communication and a "strong" phone presence—must speak clearly and professionally. Active listening skills; the ability to have authentic conversations without sounding robotic or script-dependent. Experience handling sales objections (e.g., "It’s too expensive" or "I need to think about it") while maintaining a helpful, consultative tone. High organizational discipline with the ability to take detailed notes and manage daily tasks independently. Availability to work 8:00 AM to 5:00 PM Hawaii Standard Time (HST). A high-energy personality with a natural ability to motivate others and build trust quickly. Nice-to-Haves Previous experience as a receptionist or coordinator in a medical or wellness clinic. Familiarity with Keap Pro or similar CRM software. Knowledge of or interest in Naturopathic Medicine and holistic health practices. Sales experience in a service-based industry. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Preferable to have someone near an office in NYC or San Francisco, but open to hiring anywhere in the US. Runway's Developer Platform (RunwayDev) is the best place for developers to build with AI media models, with customers ranging from the world’s software companies, to enterprises and agencies, to vibe-coders. RunwayDev provides a single gateway to integrate with the best image, video, audio, and real-time models. Our vision is to be the developer platform behind all creative work: one place to call the best model for any creative task, with the best quality output. RunwayDev serves not only Runway’s first-party frontier models (Gen-4.5, Aleph, Act-Two), but also provides day-zero access to a curated set of best-in-class third-party models, and intelligent routing that no aggregator can match. We're hiring a Product Leader to own the Developer Platform business end-to-end. You'll own the API revenue number, create the platform strategy, prioritize the portfolio of bets, and serve as the single front door for this business across the company. You'll start deeply hands-on as the primary PM, and grow a strong team as the business scales. WHAT YOU’LL DO - Own the developer platform business. Drive the revenue goals for the developer platform (API ARR), along with the full funnel of developer signups, activation (first task), weekly active developer accounts, and developer NPS. - Create and drive the strategy. Articulate and drive the portfolio of bets that make Runway the platform of choice for developers integrating media models. Co-develop strategy with leadership and partners, then make clear, ambitious calls on where to invest and what to cut. - Win professional developers. Land and grow agencies, software tools, and platform partners. Partner with our internal deployment teams to ensure developers are successful with the platform. - Ship, hands-on. Talk to developers every week, ship your own PRs and reference integrations, and partner tightly with engineering, design, DevRel, PMM, and partnerships. You'll be in the details daily and shipping regularly. - Build the team. Start as the primary IC DRI and hire PMs underneath you as the business grows, raising the bar on outcome orientation as you scale. WHAT YOU’LL NEED - 7+ years in product management, preferably leading a developer-facing or platform/API product at meaningful scale. A track record of moving revenue and adoption metrics, not just shipping features. - You thrive in an environment with rapid pace and a high accountability culture. You move very fast, make decisions with incomplete information, and instinctively gravitate towards shipping today, not writing docs for tomorrow. - A GM mindset. You think in terms of the business, not just the roadmap. You're fluent in the economics of a usage-based / consumption API business, comfortable owning a P&L-style number, and you instinctively tie every bet to a hypothesis about how it moves the business. - Deep developer-product craft. Hands-on experience with API and SDK design, developer onboarding and activation, docs and DevRel, and usage-based pricing and packaging. You know what a great developer experience feels like and you've personally driven the loop. - Strong technical fluency and customer obsession. You can earn the trust of a discerning developer audience — talk credibly about latency, cost, reliability, and integration ergonomics. Experience with inference platforms, infrastructure, or AI media products is a plus. - Excellent written and verbal communication. You can make a sharp, written argument and tell a compelling launch story. You confidently assess the state of the business, call out challenges and articulate your plans to solve them Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: US, San Diego, CA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We’re scaling from prototypes to manufacturing, and the process maturity needs to match. This role owns the secure manufacturing pipeline — the procedures, tooling, and controls that take a bare board in an untrusted CM facility and turn it into a cryptographically enrolled, OTA-ready device that our cloud fleet trusts. You’ll be the bridge between our secure boot/firmware teams and the cloud control plane, connecting them at the point of manufacture. WHAT YOU'LL DO - Design the secure manufacturing station — Architect the hardware, software, and network stack (HSM, key injection, AWS Private CA) for factory floor provisioning stations. Integrate the secure boot fuse/flashing flow from our secure boot/firmware team. - Build the provisioning toolchain — Own the automation pipeline that takes a bare device through identity provisioning, enrollment, firmware flashing, calibration, and functional test. - Bridge device and cloud identity Enroll every device into a registry with correct credentials for OTA, session heartbeating, and deployment tracking. - Own the End-Of-Line (EOL) test framework — Work with globally distributed teams to define pass/fail criteria for devices leaving the line: sensor calibration, actuator checks, and initial OTA health check. - Work with contract manufacturers —Translate security requirements into CM-executable procedures; threat-model the factory for key leakage, firmware tampering, and supply chain substitution. - Maintain chain of custody — Link each physical serial number to its provisioned identity, calibration records, test results, and firmware version at manufacture. - Collaborate across teams — Work daily with a globally distributed team of firmware, cloud, manufacturing, systems and operational team members. WHAT WE'RE LOOKING FOR - 10+ years of experience which includes manufacturing engineering, with a comparable depth of experience developing test tools and frameworks. Plus experience working with networking in a manufacturing environment, and time focused on secure device provisioning and/or secure manufacturing processes. Ideally 3 years at a Staff level or equivalent. - PKI and device identity — Experience with X.509 certificate lifecycles, mTLS, device authentication and attestation, and managed CA services like AWS Private CA. - AWS infrastructure — S3, IAM, ECS, KMS, CloudHSM and Secrets Manager for secure provisioning workflows. - EOL test and calibration — Hands-on experience defining manufacturing test frameworks, experience with hardware test fixtures. - Scripting and automation — Advanced skills in Python or Bash for developing production-grade provisioning toolchains. - Advanced skills and understanding of Rust, Bazel, Systemd - Embedded Linux systems — Experience with NVIDIA Jetson Orin/Thor platforms. - Secure manufacturing design — Ability to design secure processes for untrusted or semi-trusted offshore CMs and air-gapped station design. - Experience managing quality gates with contract manufacturers - Hardware root of trust understanding — General understanding of secure boot chains, TPM/TrustZone, cryptographic key injection, certificate provisioning, and eFuse programming. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $260,000–$320,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US and Canada — we also have offices in NYC, San Francisco, and Seattle We are growing our commercial team and looking for growth-minded leaders who are passionate about the future of AI and content creation. As our first leader within Sales Development, you will build and scale our founding BDR organization. This role is equal parts people leadership and systems building. You’ll directly manage and develop our early BDR team (currently two people) while building the infrastructure, processes, and outbound strategies that define the future of prospecting at Runway. We’re not looking to replicate traditional SDR playbooks — we want someone excited to rethink sales development through AI-powered workflows, automation, product signals, and highly personalized outreach, while helping shape how Runway wins in the enterprise market. WHAT YOU’LL DO - Lead, mentor, and grow Runway’s founding BDR team, creating a high-performance culture centered around curiosity, experimentation, and continuous improvement - Build the systems, processes, and infrastructure that power a modern AI-first sales development organization - Define how AI tooling, automation, and human creativity work together across outbound prospecting, research, personalization, and pipeline generation - Turn product usage signals, API activity, and inbound demand into scalable enterprise opportunity generation workflows - Develop highly targeted, vertical-specific outbound motions aligned to Runway’s evolving use cases and customer needs - Continuously test and refine messaging, sequencing, workflows, and enablement programs to improve team effectiveness - Partner closely with Sales, Marketing, Creative, and RevOps to shape ICP strategy, lead routing, and overall GTM execution - Work alongside sales leadership to help define and scale Runway’s enterprise sales motion WHAT YOU’LL NEED - 5+ years of experience in sales, growth, or GTM leadership roles - Experience managing and developing high-performing SDR/ BDR teams - Strong systems-thinking mindset with experience building outbound processes and operational infrastructure from the ground up - Deep interest in AI-native workflows and a strong point of view on how AI will reshape modern prospecting and sales development - Experience operating in product-led, usage-based, or highly technical GTM environments - Highly analytical and data-driven, with the ability to use insights to drive strategy and execution - Comfortable operating in fast-moving, ambiguous environments and excited to experiment and iterate quickly - Strong communicator and cross-functional collaborator with a builder mentality Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024