Вакансии

Location: 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 - 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 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - 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.

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 As a Humanoid Robot AI Data Collector, you will teleoperate humanoid robots and follow well-defined procedures to generate high-quality datasets used for training advanced AI models. You will work hands-on with physical robots using on-site tools and interfaces—such as the Universal Manipulator Interface (UMI)—to execute structured tasks and capture precise data. A significant part of the role involves annotation and labeling, requiring strong focus, accuracy, and pride in craftsmanship. This role is for individuals who thrive in a fast-moving, team-oriented environment; who take ownership, communicate openly, and embrace continuous learning. No technical background or formal education is required; full training is provided. This is a fully on-site role, working hands-on with robots and on-site systems such as UMI, and may involve periods of standing, regular movement, and interaction with physical hardware. This position is a permanent night shift, with working hours of 10:30 pm - 6:30 am, and may require occasional travel in line with business needs. WHAT YOU'LL DO - Teleoperate humanoid robots with consistency, precision, and a strong sense of ownership over data quality. - Perform on-site data collection using tools such as the Universal Manipulator Interface (UMI). - Capture and organise multimodal data (e.g., video, motion trajectories, task logs) with high accuracy and attention to detail. - Annotate and label data following strict guidelines, treating the work as a high-skill technical discipline. - Identify anomalies or issues proactively and escalate or solve them at the lowest responsible level. - Suggest improvements to workflows, processes, or tools—everyone contributes to process design. - Maintain clear, transparent documentation of progress and dataset quality. - Move with urgency and focus, ensuring timelines and daily goals are met. - Communicate openly with team members, sharing feedback and observations across functions. - Collaborate respectfully and positively with teammates, helping create a supportive and high-performing culture. WE'RE LOOKING FOR: - No formal technical education required — full training will be provided. - Comfortable using computers and digital interfaces. - Exceptional attention to detail and ability to follow precise instructions. - Strong time management, urgency, and reliability in meeting daily/weekly targets. - Ability to maintain focus and high-quality output during repetitive tasks. - Proactive mindset — willingness to take initiative without waiting for direction. - Clear, transparent communication skills for reporting findings and collaborating with the team. - Commitment to iterative learning, continuous feedback, and constant improvement. - Interest in robotics, AI, or emerging technologies is welcome but not required. WHAT WE OFFER: - 30+ days time off, including 23 days 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.

Задачи: — Проведение CustDev, сбор и формализация требований заказчиков на создание и доработку системы — Создание UserStory, CJM по итогам собранной информации и стратегии развития продукта — Подготовка технических заданий для разработки и дизайнеров, включая проработку логики и требований к функциям — Участие в описании релизов и составлении документации по продукту — Участие в демонстрациях новой функциональности — Формирование гипотез для улучшения продукта и проверка их через данные — Исследование рынка корпоративного ПО, конкурентов, анализ решений и выявление лучших практик Требования: — Отличные коммуникационные навыки для диалога с клиентами — Опыт сбора, анализа и описания требований к разрабатываемым решениям (CustDev, Use case, User Story) — Умение писать технические задания, понятные для разработчиков — Опыт использования искусственного интеллекта для улучшения результатов, а не замены — Умение анализировать рынок и конкурентов — Знание любого языка программирования будет плюсом

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 We're looking for a passionate Product Designer to join our team and help shape the tools of the future. You should be a motivated self-starter with experience partnering with engineering teams and shipping real products. In this role, you'll work closely with product, engineering, and research to have a meaningful impact on Runway's design direction and future. WHAT YOU’LL DO - Lead design projects, including new features and improvements to our mobile and web platforms - Produce, iterate, and prototype concepts for creative workflows - Collaborate closely with the engineering and product teams to suggest product and process improvements - Contribute to maintaining visual and user experience consistency across our products WHAT YOU’LL NEED - Experience designing flows, prototypes and high-fidelity UI's for web products and strong visual design skills - Understanding of modern web technologies, web interactions, and usability standards - Experience delivering and iterating fast in close collaboration with engineering, product, and data teams - Ability and flexibility to iterate fast and often - Comfortable picking up unfamiliar parts of the product rather than waiting to be assigned only what you already know - Knowledge and understanding of the creative tool space - Bonus points if you have experience with creating functional prototypes using AI tools (Claude Code, Cursor, etc.) - At Runway, it’s always a bonus if you have artistic and creative potential (particularly skills with video/audio editing, icon/typography design, Illustration, etc.) 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: Remote; Seattle, WA; 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 *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle Runway is growing fast, and so is the surface area of what users need to learn. We're looking for an Education Content Specialist to keep our Help Center accurate, our Academy content well-produced, and our users set up for success from day one. You'll sit within the Experience & Enterprise Enablement team, working closely with the Education & Enablement lead to execute against a content roadmap that spans written documentation, video scripts, and self-service resources. Every feature launch will have your fingerprints on it. You're the person who makes sure users don't have to guess. WHAT YOU’LL DO - Write, update, and maintain Help Center articles across product features, billing, policies, and troubleshooting — keeping documentation accurate as the product moves fast - Coordinate with engineering and product at launch time to ensure articles are live before features ship - Audit existing Help Center content for accuracy and discoverability; surface recommendations based on support ticket trends and user feedback - Create and maintain self-service content — FAQs, quick-start guides, troubleshooting flows — that reduces ticket volume and helps users help themselves - Draft scripts for Runway Academy video tutorials, walkthroughs, and course modules - Support production of Academy content: create supporting assets, prepare materials for recording, and help get finished content published and organized - Build and maintain a library of templates, prompt guides, and project starters across Runway's tools - Support production and publishing of office hours, webinars, and live Q&A sessions - Keep Help Center documentation and Academy content consistent and cross-referenced - Track the performance of content you've produced — article engagement, search deflection, CSAT — and flag gaps to the Education & Enablement lead - Work with legal to ensure usage policies and terms are accurately reflected in customer-facing content WHAT YOU’LL NEED - 2-3 years of experience in technical writing, documentation, education content, or a similar role at a software or SaaS company - Ability to translate complex product features into clear, user-friendly language — across articles, scripts, and guides - Experience shipping documentation on tight timelines with cross-functional dependencies - Comfort with help center platforms (Zendesk, Intercom, or similar) and content management systems - Familiarity with video content production and an instinct for how to structure and pace educational content - Strong editorial judgment — you catch inconsistencies before they go live - Organized and autonomous working style; you can manage a documentation backlog while staying responsive to urgent launch needs - A bias toward action and a belief that no task is too small - Familiarity building with LLMs to streamline and automate processes NICE TO HAVE - Experience with AI or creative tools — with genuine curiosity about how they work - Background in or passion for the creative space — video, design, animation, or related fields - Experience using support data (ticket volume, search queries, CSAT, completion rates) to prioritize content work 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: 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 — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content 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: 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 — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security 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: El Salvador; Colombia; Nicaragua; Honduras; Ecuador; Guatemala We are seeking an energetic, outgoing, and exceptionally personable Bilingual Virtual Front Desk & Insurance Specialist to serve as the vital front-line ambassador for a fast-growing U.S.-based mental health practice. Combining high-volume inbound/outbound phone management, patient scheduling, and light insurance verification support, this is a highly patient-facing, high-touch role. We are specifically seeking a candidate with an upbeat, warm, confident, and engaging phone demeanor in both English and Spanish. Rather than a passive assistant, the practice requires a self-directed problem-solver who takes complete ownership of patient inquiries, manages heavy call volumes with ease, and provides an compassionate, outstanding experience for individuals seeking mental health and TMS therapy services. Working Environment & Core Schedule Role Title: Bilingual Front Desk & Insurance Verifications/Auths Specialist Status: Full-Time (40 Hours / Week) Schedule: Monday – Friday, 9:00 AM – 6:00 PM EST (US Eastern Standard Time) Language Requirement: Fully Bilingual (Fluent English & Spanish - Non-Negotiable) Practice Specialty: Psychiatry, Mental Health & TMS Therapy Top 3 Daily Tasks High-Volume Front Office Communication: Handle high-volume inbound and outbound patient calls (50–150 calls per day) using Weave, delivering exceptional customer care, answering treatment inquiries, and scheduling appointments. Patient Scheduling & Intake Management: Manage provider calendars, guide prospective mental health and TMS therapy patients through the intake process, and assist with general administrative requests. Insurance Verifications & Authorizations (Support): Provide occasional, targeted support with verifying insurance eligibility, checking benefit coverage, and navigating payer portals as needed. Core Responsibilities Inbound & Outbound Phone Operations: Serve as the primary voice of the practice using Weave, answering patient calls, conducting follow-up outreach, and managing appointment confirmations, cancellations, and reschedules in English and Spanish. Patient Inquiry & Care Coordination: Warmly address non-clinical questions regarding psychiatry, TMS therapy, and mental health services, guiding patients smoothly into the practice's care pipeline. Administrative Front Desk Support: Maintain accurate patient records, organize digital intake workflows, update patient charts, and manage daily calendar tasks using Google Workspace tools and GoHighLevel. Insurance & Auth Support: Perform secondary insurance eligibility checks, verify coverage details on payer platforms, and assist with prior authorization documentation when necessary. Proactive Problem-Solving: Identify administrative bottlenecks, manage high call density with composure, and maintain high patient satisfaction across every interaction. Requirements Bilingual Fluency: Fluent, natural spoken and written English and Spanish. U.S. Practice Experience: Minimum 2+ years of direct experience supporting a U.S.-based medical practice in a front-office, administrative, or patient-coordination capacity. Engaging Phone Demeanor: A bubbly, upbeat, warm, and highly confident phone presence—capable of building instant rapport without sounding scripted, timid, or robotic. Phone & Scheduling Proficiency: Proven background handling inbound/outbound calls, patient scheduling, and customer service. Lead & Growth Mindset: Comfort making outbound calls to prospective patients, addressing barriers to care, and guiding leads toward booking appointments. Problem-Solving Ability: Proven track record of working independently, following through on tasks without constant direction, and bringing solutions to operational challenges. HIPAA Compliance & Setup: Strong understanding of HIPAA guidelines and a quiet, private, HIPAA-compliant home workspace equipped with a high-speed computer setup and a clear noise-canceling headset. Strongly Preferred Lead Conversion & Sales: Background in patient acquisition, medical sales, or lead conversion. Specialty Practice Models: Direct experience in Direct Primary Care (DPC), Concierge Medicine, Medical Spa, Wellness, or Cash-Pay practice environments. Membership Billing: Hands-on experience with recurring membership billing models and membership CRM/lead management platforms. Ideal Candidate Profile You are a vibrant, articulate, and resourceful bilingual coordinator who loves connecting with people over the phone. You treat every patient and prospective lead like a VIP, take immense pride in keeping clinic workflows organized, and take full ownership of helping a medical practice grow.

Location: San Francisco, CA 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 Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Senior Computer Vision Engineer to join our Embodied AI team, focused on 3D scene understanding and semantics. A reconstructed environment is only useful to a robot once it knows what is in it: which surfaces are floor, which objects can be grasped, moved, or opened, where one room ends and another begins. You'll work hand in hand with our Research Scientists to take advances in open-vocabulary perception, 3D semantic labeling, and scene graph construction and turn them into reliable capabilities that embodied AI teams can use in production. This is an applied research role. You'll live at the boundary between a research prototype and a production pipeline: adapting methods so they hold up on messy customer captures, lifting 2D semantic signals into geometrically consistent 3D, defining what "semantically correct" means for a downstream policy, and feeding what you learn back into the research agenda. You understand that the difficult part is often not the core method, but the messy inputs, edge cases, operational constraints, and downstream requirements surrounding it. You care about quality, cost, latency, and reliability, and you know that a system is only successful when people can depend on it. This is a hands-on engineering role for someone who wants to build, ship, and own outcomes. You'll help shape both the technology and the product, while remaining close to the code and the problems our customers are trying to solve. What You'll Do - Productionize 3D Scene Understanding Capabilities - Turn research prototypes in open-vocabulary segmentation, 3D semantic and instance labeling, affordance prediction, and scene graph construction into reliable pipeline components and services that operate across varied customer data and environments. - Own End-to-End Output Quality - Ensure that reconstructed environments carry labels, instances, and relationships that are consistent, complete, and correct enough for downstream simulation and policy learning, and define what "correct enough" means for each customer workflow. - Bridge Research and Production - Work day to day with the Embodied AI Research Scientist: pressure-test new methods on real customer data, identify where they break, and bring production and customer constraints back into research planning to prioritize the advances that matter most. - Make Systems Robust to the Real World - Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other assumptions that prototypes often leave implicit. - Build Evaluation and Quality Infrastructure - Create datasets, regression tests, quality gates, and benchmarking tools that help the team measure whether changes improve the system. - Improve Performance, Throughput, and Cost - Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale. - Work Across the Product Boundary - Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities that fit real training, evaluation, and deployment workflows. Help evolve the representations, tooling, and operational systems that allow reconstructed environments to move reliably into customer applications. What You'll Bring - 5+ years of computer vision experience and a bachelor's degree or equivalent, - Significant experience building and operating production computer-vision, machine-learning, graphics, or data-processing systems. - Deep hands-on experience with scene understanding: semantic, instance, or panoptic segmentation; open-vocabulary detection and segmentation; or vision-language models applied to perception. - Experience taking 2D perception into 3D, such as multi-view label fusion, 3D semantic segmentation, instance tracking across views, or scene graph construction over reconstructed geometry. - Experience delivering reliable computer-vision or 3D systems used by other teams or customers, including the evaluation that proved they worked.. - Practical command of 3D and spatial data, including geometry, camera models, coordinate frames, calibration, and metric scale. - Strong Python and PyTorch skills, with the ability to work in C++ or other performance-oriented environments when needed. - Experience with cloud infrastructure, GPU workloads, distributed processing, or large-scale data pipelines. Nice to Have - Hands-on experience with 3D reconstruction, photogrammetry, structure from motion, Gaussian splatting, neural rendering, or meshing. - Experience with SLAM, visual positioning, localization, or large-scale mapping systems. - Experience with robotics, simulation, or embodied AI applications, in particular how semantic labels are consumed by a policy or a simulator. - Built evaluation or benchmarking infrastructure for perception or reconstruction systems. - Experience optimizing large-scale GPU inference workloads for cost, throughput, or latency. - A publication record or contributions to widely used open-source perception codebases. - Advanced degree in computer vision, robotics, machine learning, or a related field. Competencies - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here Syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling. - Strong systems instincts. You understand that production quality includes reliability, observability, cost, latency, maintainability, and usability—not just algorithmic accuracy. - Comfort with ambiguity. You can make progress when the problem, data, and requirements are still evolving. Compensation & Benefits Base salary range of $229,500 to $255,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three 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: Remote; Seattle, WA; London; 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 Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London. We're building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we're scaling the systems behind our support team so we can keep delivering delightful experiences as that community grows. We're looking for a Support Systems Engineer who ships production code, not tickets and specs: someone who takes a fix from proposal to merged PR themselves. This role reports directly to the Head of Customer Experience. WHAT YOU’LL DO - Own the AI support agent, our ticketing system and other Support tools end to end: authentication (JWT), response logic, routing, escalation paths and tone, tested in staging before it sees live traffic - Ship daily product changes that remove ticket volume. Recent example: extending automatic refund eligibility to one-click credit purchases, accidental upgrades and month-based proration on annual terms - Build and maintain internal CX tooling as real software, not one-offs: scripts, jobs, dashboards, admin surfaces - Run QA and evals with real test suites and pass/fail rubrics, plus monitoring and alerts for outages, bugs and volume spikes - Own releases: staged rollouts, a regression suite before every ship, clear rollback criteria, a writeup when something reaches production - Build the CX reporting the org runs on: volume, deflection, CSAT, reply and resolution time, escalation accuracy, agent spend. You own the correctness and availability of the queries. - Build and stage the guardrails on refunds, account changes and anything touching money or PII, including the audit trail - Keep the knowledge base accurate and structured for the agent to parse, and manage the handoff into the ticketing system - Keep the CX roadmap and the coverage model current, sequenced against priorities set by the Head of CX, so gaps show up before they bite - Run the day-to-day with our AI platform vendor: weekly working session, joint roadmap, issues filed with reproductions - Carry signal across teams: Product and Engineering on bugs and rollouts, Customer Education on self-serve, community on Discord and the forums, GTM and Analytics on routing and reporting WHAT YOU’LL NEED - 5+ years in Customer Experience, Support Engineering or Support Operations, with real time spent writing code - You ship production code in codebases you didn't write: read TypeScript, trace logic through someone else's service, put up a PR that survives review. Our stack is TypeScript and Node.js on AWS - Hands-on experience building and tuning AI or LLM-powered support workflows: prompt and context engineering, routing, escalation design, evals - SQL experience. You own the reporting, so you shouldn't be waiting on Analytics for it - Code-level experience with a billing or payments API: invoices, prorations, refunds. A large share of consumer tickets live here - Git, PR review, CI, staging and feature flags as your default way of working - Real QA and eval experience: you can define rubrics, build test suites and calibrate against what good looks like - Judgment about where a fix belongs, in code, in the agent or in the knowledge base - A track record carrying signal between support, product and other functions and turning it into action - Comfort managing your own work in a fast-moving environment, high ownership and high autonomy - Genuine interest in AI, creative tools or both WHAT SETS YOU APART The most successful person in this role treats the agent and the systems around it like a product they own. They watch where it fails, ship the fix and check whether it worked. They build reporting people actually use. And they show up with improvements no one asked for yet. FOR YOUR APPLICATION During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built, and that starts now. As part of your application, instead of a cover letter, we ask that you try out the Runway product, specifically build a custom workflow. 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: London 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 Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics. We're passionate about discovery, so we're looking for scientists who want to learn, publish, teach, and deploy every new invention. What You'll Do - Develop New Spatial Representations - Develop new spatial representations that embodied AI can learn from, train in, and act on. - Advance Real-to-Sim Pipelines - Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning. - Solve Emerging Spatial Problems - Solve emerging problems that relate to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems. - Take Capabilities Through to Evidence - Take new capabilities through to evidence: what changed for the policy, not only what changed in the reconstruction. - Build Prototypes - Build proof of concept prototypes, initially for internal use, where some will need to run at production scale on customer data. - Collaborate Across Research and Product - Collaborate closely with researchers, engineers, and product partners to bring novel models to production. - Publish Your Work - Publish and present your work. What You'll Bring - A PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues. - Substantial expertise in robotics or embodied AI, including experience in sim-to-real transfer, domain randomization, policy evaluation, and simulation-based learning. - Deep experience with 3D scene representations: Gaussian splatting, neural fields, meshes, point clouds, or implicit representations. - You have applied generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture. - You have worked on 3D semantics, open-vocabulary scene understanding, or scene graphs. - Proficiency in Python and Deep Learning libraries such as PyTorch. - GPU or graphics programming experience, such as custom CUDA kernels, shaders, or differentiable rendering. - A track record of contributing to widely used open-source research codebases. Nice to Have - Proficiency in C++. Compensation & Benefits Base salary range of £103,500 to £202,500. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. Location & Work Model This role is based in our London office, with three 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: 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 Humanoid is seeking a Head of Government Relations to lead the company's engagement with governments, regulators, and industry bodies across its principal markets. The role reports directly to the Chief Legal Officer and carries a global remit spanning government relations, public affairs, and policy. The United Kingdom is the company's primary market and the United States its fastest-growing second, alongside Canada, Germany, and the European institutions in Brussels. The remit extends beyond engagement to the development of the company's policy positions, in close alignment with Legal, Finance, and commercial leadership. Three priorities define the role. The first is to establish a regulatory path for the technology, working with governments, regulators, standards bodies, and industry associations so that bipedal platforms, and not solely wheeled systems, can be deployed safely and at scale. The second is to develop routes to public and institutional capital, including government-backed investment and financing support. The third is to build the public-interest case for humanoid robotics, from industrial deployment through to sectors such as healthcare. The role involves monitoring political and regulatory developments across the United Kingdom, the European Union, and the United States; advising leadership on their implications for the business; building and maintaining relationships across Westminster, Whitehall, Brussels, and Washington DC; and representing Humanoid before policymakers, officials, industry associations, and at public forums. The position is based in London, with the option to relocate to Washington DC as the company's United States operations grow, and involves regular international travel. The successful candidate will build a team as the function develops. WHAT YOU'LL DO - Develop and own Humanoid's government relations, public affairs, and policy strategy globally, with the United Kingdom as the primary market and the United States close behind. - Establish a regulatory path for humanoid robotics, working with governments, regulators, standards bodies, and industry associations to shape regulation that allows bipedal platforms to be deployed safely and at scale. - Develop the company's policy positions as well as its relationships, in close alignment with Legal, Finance, and commercial leadership, so that policy work enables the business. - Develop routes to public and institutional capital, including government-backed investment and financing support, working alongside the Chief Legal Officer and the Finance team. - Build the public-interest case for humanoid robotics, including in sectors such as healthcare, and translate that case into deployment opportunities. - Build and maintain relationships across Westminster and Whitehall, in Brussels, in Washington DC, and with industrial associations across the United Kingdom, the European Union, and North America. - Represent Humanoid before policymakers, officials, and industry bodies, and at public forums and conferences. - Monitor political and regulatory developments across the United Kingdom, the European Union, and the United States, and advise leadership on their implications for the business. - Work closely with North American legal leadership on engagement across the United States and Canada. - Build and lead the government relations function as it grows, while remaining personally engaged in research, drafting, and engagement. WHAT WE'RE LOOKING FOR - 10+ years of experience specifically in government relations, government affairs, public affairs, or policy. This is a firm minimum. - Deep and current knowledge of the United Kingdom political environment, including the ability to anticipate how the policy agenda is likely to develop. - A sound working understanding of the United States political environment, and of European Union institutions and policymaking. - A bachelor's degree in law, political science, economics, engineering, or a related field. - Experience in at least one relevant sector: technology, telecommunications, satellites, media, AI, software, automotive, aerospace and space, or defence. - The ability to develop policy positions and strategy, not only relationships. - A hands-on, execution-oriented approach, with a record of conducting research and drafting personally alongside managing others. - The ability to operate in ambiguity and to create clarity in a fast-moving environment. - Willingness to travel regularly, including to Germany, Brussels, Washington DC, Boston, and San Diego. - The right to work in the United Kingdom without sponsorship; visa sponsorship is not available for this role. - A commitment to a long-term role, and the resilience required in a company scaling at pace. NICE TO HAVE - A master's degree or PhD. - Direct experience in Parliament or government, whether working with or for Members of Parliament, in a ministerial office, or with secretaries and under-secretaries in the executive branch. - European Union policy and Brussels engagement experience. - Experience establishing a government relations function from first principles in a scaling company. - Experience with public funding, sovereign guarantees, or government-backed financing. - Experience in emerging-technology regulation or standards-setting. - A genuine interest in emerging technologies and the future of robotics. 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: Tashkent, Uzbekistan Workplace: onsite Knauf stands for opportunity. We know that opportunity looks different to each person, and we are proud that we see opportunity in everyone. This exciting role within the Business & Process Department could be the perfect next opportunity for you to build a unique career, in a values-led culture with a clear purpose of making tomorrow a home for all of us. We are a family-owned global manufacturer of construction materials and within our Group, our 43,500 team members in 90 countries across 320 sites provide a huge opportunity for anyone with ambition and energy. We value everyone's contribution equally and we ask that you bring your whole self to work, to enrich the business further, as together we achieve more in a safe and inclusive environment. In Asia Pacific, since the 1990s Knauf has been established as a leading and trusted brand for drywall products and system solutions. Today, with over 5,500 experienced, talented, and diversified people operating nearly 35 production facilities and offices across the region, coupled with an extensive expertise-backed sales and support network, our teams deliver the best of Knauf to our customers, while supporting positive changes to the industry and communities where we operate – in Australia, China, Korea, Japan, India, Thailand, Indonesia, Vietnam, Philippines, Malaysia, Singapore, Central Asia, and the Caucasus. Reporting into Senior Business Process Manager , we are searching for a team member to join us as Process Excellence & Digital Transformation Manager (SAP ). Can you say yes? The Process Excellence & Digital Transformation Manager leads regional initiatives to simplify, standardise, and improve business processes across Asia-Pacific, with a primary focus on Central Asia and the Caucasus region. The role helps business units move from inconsistent, manual, or complex ways of working to clearer, faster, and more efficient processes supported by common definitions, practical guidelines, best practices, and fit-for-purpose system solutions. The role works closely with business units, Global Process Owners, and IT to identify operational pain points, analyse root causes, and design practical improvements that can be scaled across countries. This includes optimising SAP and other ERP processes, improving system usage and data quality, and reducing manual work through tools such as workflows, Robotic Process Automation (RPA), system interfaces, reporting solutions, and other automation opportunities. The successful candidate must be able to operate at both strategic and detailed levels: influencing senior stakeholders with clear recommendations while also working hands-on with process flows, data, system logic, and operational teams to deliver sustainable change. Operating at a managerial level of seniority , the role requires strong ownership, structured problem solving, and the ability to lead complex initiatives through influence in a regional, multi-country environment. What you will be doing Process Improvement & Change Leadership · Drive end-to-end process improvement initiatives , from problem definition through to solution design and implementation · Define and monitor success measures to assess adoption, process performance and realized business outcomes using feedback and data to drive continuous improvement. · Lead structured root cause analysis (e.g. data-driven analysis, process diagnostics) to identify underlying issues in business processes and systems. · Design practical, scalable process solutions , balancing standardization, control, and local business needs. · Act as a change agent , proactively challenging the status quo and guiding stakeholders through change. · Translate complex analysis and process issues into clear, compelling executive-level narratives, recommendations and business cases that enable senior management decision making . Project & Stakeholder Management · Take end-to-end ownership of assigned transformation initiatives, independently driving progress, resolving ambiguity and escalating decisions or risks where appropriate · Gather, document, and prioritize detailed business requirements. · Lead or support User Acceptance Testing (UAT) , ensuring solutions meet real business needs. · Act as a trusted partner to Global Process Owners, providing strong APAC input into global designs. Digitization & System Enablement · Identify opportunities to digitize and automate manual or inefficient processes . · Work closely with IT and data teams to translate business requirements into system and reporting solutions. · Support regional digitisation efforts through: Clear functional specifications Data and logic validation Hands-on testing and iteration What we would love for you to have Minimum 8 years’ experience in business process improvement, business analysis, or a similar role. Proven ability to diagnose complex business and system problems, perform deep root cause analysis, design and implement pragmatic, data-driven solutions Strong working knowledge of at least one SAP module (e.g. SD, FI/CO, PtM) with an understanding of associated business processes and data structures Hands on experience designing or implementing workflow automation solutions (e.g. Microsoft Power Platform/ Power Automate, SAP Build Process Automation, Nintex, ProcessMaker or other similar platforms ) OR Working knowledge of basic coding or scripting to support digitization and automation (e.g. Python, JSON, SQL ) Demonstrated experience communicating complex issues at executive level, synthesizing detail into clear insights and recommendations and influencing decisions without formal authority Project delivery experience across regional or multi-country settings Strong communication skills in English is a must (written and spoken) Russian language proficiency is highly advantageous What happens next? Your application will be reviewed by our Hiring Team to determine if your experiences and skills are what we are looking for in the role. If you are, our Talent Acquisition representative will contact you promptly to arrange for next steps.

Location: South Africa; Nigeria; Jamaica About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Job Summary Are you a high-energy sales professional passionate about child development and enrichment? This team is looking for a driven Mid-Level SDR to help scale an elite platform that provides advanced developmental programs, ranging from robotics and leadership training to athletics and wellness, to families and organizations. In this role, you will be the engine of the sales pipeline, identifying opportunities and setting the stage for transformative educational experiences. We are looking for a results-oriented hunter who thrives in a fast-paced environment and is ready to hit aggressive growth targets. About the Company 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. Key Responsibilities Conduct high-volume outreach to identify and qualify potential leads for developmental and enrichment programs. Secure a minimum of 15 qualified meetings per week with key decision-makers. Drive the pipeline to hit a target of $250,000 in generated business by June. Manage and track all lead activity and communication within the CRM to ensure no opportunity falls through the cracks. Master the value proposition of a diverse service catalog, including tech, wellness, and self-defense programs. Collaborate with senior leadership to refine outreach strategies and scripts. Requirements Proven experience as an SDR or in a similar sales development role (Mid-Level seniority). Demonstrated ability to meet and exceed rigorous KPIs and revenue targets. Exceptional communication skills with the ability to build rapport quickly. High level of discipline to maintain a strict 9-5 EST schedule from an offshore location. Availability to start within the next two weeks. A proactive, "owner" mindset with the ability to work independently. Background or strong interest in the Education or Child Development sectors. Expert-level Cold Calling and Discovery Call skills. Strong Objection Handling techniques. Benefits 💰 Competitive salary 🌎 Fully remote offshore work environment 🚀 Career growth opportunities (Path to Account Manager) 📈 Long-term stability and salary increase milestones 🎯 Performance-based incentives tied to clear revenue targets

О направлении Роль отвечает за программную и управляющую часть автоматизированных систем UmproTech для американского рынка: robots, PLC/HMI, safety, sensors, industrial networks, alarms, recovery logic и remote diagnostics. Главная задача Если главный инженер определяет архитектуру системы, а механический инженер прорабатывает компоновку и механику, этот специалист заставляет всю систему правильно, безопасно и устойчиво работать. Основные обязанности 1. Программирование промышленных роботов. 2. PLC programming и HMI development. 3. Разработка sequence/state-machine logic. 4. Создание I/O architecture и machine interfaces. 5. Интеграция robots с laser, welding, conveyors, fixtures, vision и периферией. 6. Industrial networks, servo/motion, sensors и drives. 7. Safety PLC, light curtains, scanners, safety gates и interlocks. 8. Alarm, diagnostics и recovery logic. 9. Manual/automatic modes, recipes и fault handling. 10. Offline programming, simulation и cycle-time optimization. 11. Подготовка software к FAT и remote commissioning support. 12. Анализ логов и удалённая диагностика систем в США. 13. Создание reusable PLC/HMI/robot software libraries UmproTech. 14. Документирование программного обеспечения и commissioning procedures. Стандартизация Задача — не программировать каждый проект с нуля. Нужно создать единый UmproTech Automation software framework: структуру PLC, robot↔PLC communication, HMI, alarm codes, diagnostics, recovery, safety states и reusable function blocks. Пример задачи Есть роботизированная сварочная ячейка: robot, welding power source, fixtures, pneumatic clamps, safety scanner, gates, sensors, HMI и PLC. 1. Разработать control architecture и I/O list. 2. Сформировать sequence of operation. 3. Запрограммировать PLC, robot и HMI. 4. Реализовать safety states. 5. Создать alarm и recovery logic. 6. Реализовать ручной и автоматический режим. 7. Подготовить систему к FAT. 8. Подготовить инструкции для американского field engineer. Что выполняется из Москвы 1. PLC/HMI development. 2. Robot programming и offline simulation. 3. I/O, sequence, alarm/recovery logic. 4. Software documentation. 5. Анализ логов и remote troubleshooting. 6. Reusable software libraries и standards. Что выполняется в США 1. Физический монтаж и wiring. 2. Проверка реальных I/O и подключений. 3. Robot mastering и фактическая калибровка. 4. Финальная safety validation. 5. Commissioning, SAT и работа с клиентом. Требования 1. 4+ лет в промышленной автоматизации, PLC/АСУ ТП или industrial robotics. 2. Практический опыт программирования PLC и промышленного робота. 3. Опыт запуска реального промышленного оборудования. 4. Понимание IEC 61131-3, Structured Text, Ladder и Function Blocks. 5. Умение читать электрические схемы и работать с digital/analog I/O. 6. Industrial networks, servo/motion, sensors и machine safety. 7. Сильный troubleshooting и способность самостоятельно находить причину неисправности. 8. Структурированный код и техническая документация. 9. Английский для документации и переписки. Желательные платформы 1. PLC: Siemens, Beckhoff, Allen-Bradley, Codesys, Omron или Mitsubishi. 2. Robots: FANUC, ABB, KUKA, Yaskawa, Kawasaki, Universal Robots или аналогичные. 3. Практический commissioning ценится выше лабораторного опыта. Большое преимущество 1. Robotic welding, machine tending, laser automation. 2. Palletizing, material handling, conveyors. 3. Machine vision, grippers, pneumatics, servo systems. 4. Remote diagnostics, industrial data collection и OEE. Первые задачи 1. Выбрать совместно с главным инженером стандартную PLC architecture. 2. Создать robot↔PLC communication standard. 3. Разработать базовый UmproTech automation software framework. 4. Создать стандарт HMI, alarms, diagnostics и recovery logic. 5. Подготовить software первой robotic welding cell. 6. Участвовать в разработке automatic laser loading/unloading. Результат первых 12 месяцев 1. Рабочий UmproTech Automation software framework. 2. Первая запущенная robotic welding cell. 3. Первые customer projects в США. 4. Reusable PLC/robot function blocks. 5. Стандартизированные HMI, alarms, diagnostics и recovery procedures. 6. Сокращение времени разработки и commissioning следующих проектов. Отбор Кандидат получает практический кейс с robot, PLC, fixture, welding system, safety scanner и sensors. Нужно объяснить architecture, sequence, safety states, alarm/recovery logic и действия системы при сбоях. Главный критерий — способность построить устойчивую и обслуживаемую промышленную систему.

Location: San Francisco, CA 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 We're looking for an entrepreneurial Go-to-Market lead to build our pipeline and customer relationships within the Embodied AI group. One of the fundamental problems we’re helping the physical AI community overcome is the sim-to-real gap for visual-spatial understanding. We’re applying our team’s decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. Working directly alongside the group's General Manager, you'll map the market, open doors, and close business in step with product development. You'll have significant independence, direct access to the people building the product, and real responsibility for making the business successful. You're a natural-born seller. A day spent talking to customers gives you energy. You already know people in the robotics ecosystem, and you're always finding reasons to meet more. You earn attention, ask questions that teach us something, and turn interest into commitment. You're as good at listening as you are at making a case. When an opportunity matters, you are relentless, but your desire to win the right business is more powerful than your desire to win any business. This is not a role for someone who needs inbound leads, a finished playbook, or a fully baked product. You relish building. You take pride in finding the use case, earning the customer's conviction, and getting the deal over the line. The role will not initially carry a sales quota. It will carry clear accountability for qualified pipeline, useful customer learning, and business we can deliver. What You'll Do - Map the Market - Build and maintain a comprehensive view of prospects, their use cases, and the right contacts. Track funding, hiring, launches, and deployments, and hold a point of view on who we should pursue, why, and when. - Open Doors - Build qualified pipeline through your relationships, targeted outreach, introductions, and events. Get into the communities where our customers spend time, and turn the approaches that earn attention into repeatable ones. - Qualify and Learn - Get immersed in customers' workflows: what they're trying to do, what they've tried, where it breaks, and what that costs them. Establish fit, urgency, and how a buying decision will happen, and bring candid input on product-market alignment back to the General Manager and Product leader. - Develop Relationships - Be useful to accounts we're not ready to serve yet. Work with Marketing on insights, introductions, content, and events, and know what needs to change in their business or our capabilities for an opportunity to become actionable. - Close Business - Run opportunities through evaluation, proposal, negotiation, and signature. Agree what an evaluation must prove, who will decide, and what follows success. Prepare colleagues properly and stay engaged through handoff so commitments are delivered. - Shape the Commercial Model - Help design commercial models for a maturing product, finding simple solutions where the path isn't laid out, and bringing discipline to how early deals are structured. What You'll Bring - Relationships that open doors. You already know founders, engineering leaders, or buyers in robotics, embodied AI, or the infrastructure and tooling companies serving them, and you have a track record of building new relationships beyond your existing network. - Experience personally winning early customers for a technical product. You sourced opportunities and closed business while the use case, buyer, or commercial approach was still being worked out, and you can explain what you did to make it happen. - Experience shaping the deal itself. You've worked with founders or technical teams to turn a customer problem into a concrete offer covering scope, proof of value, commercial terms, and a path from evaluation to paid adoption, and you've secured commitments of budget and engineering time. - Evidence that you changed the approach because of what you learned. You can point to customer evidence that changed who your team targeted, what it offered, or how it sold, and explain what happened next. - Credibility with technical buyers. You've sold to engineering or research teams and can hold a substantive conversation about their workflows, including the roles of simulation, training data, and evaluation in embodied AI, and concepts such as reinforcement learning, imitation learning, and sim-to-real transfer. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - You've turned initial pilots into sustained usage, renewals, or expansion. - You've helped turn a handful of early wins into a repeatable approach across customers. - You've partnered with or sold within the NVIDIA robotics ecosystem. - You've sold into defense or industrial robotics teams. Competencies - Painful sense of urgency. You move as if the company's success depends on it, because it does. People love working with you because you make things happen. - Strategically tenacious. You combine astute judgment about which opportunities matter with dogged determination to win them. When one door shuts on a great opportunity, you make sure another one opens. - Technically fluent. You speak the language of our customers, and know what the words mean. You get curious when a conversation gets technical, can explain our capabilities accurately, and recognize when a technical counterpart needs to take over. - Intellectually honest. You know there's one job that underpins every other in a startup: find the truth. You listen closely, ask about actual behavior, and investigate answers that don't add up. You don't mistake compliments for demand or keep a dead opportunity alive to make the pipeline look better. - Pragmatic in the face of ambiguity. You have a knack for finding simple solutions to complex problems when the path isn't laid out for you. You're not intimidated by designing commercial models or helping to mature a product. - Ability to close. You build champions, reach decision-makers, and methodically uncover what stands between interest and a purchase. You're a natural negotiator and enjoy delivering win-win outcomes. - Create value before you consume. You're generous with insights, thoughtful introductions, and practical help, always giving before asking for anything in return. When you ask for a customer's time or budget, you can explain what they stand to gain and hold us to delivering it. Compensation & Benefits Base salary range of $175,500 to $230,000. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three 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: San Francisco, CA 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 One of the fundamental problems facing the physical AI community is the sim-to-real gap in visual-spatial understanding. We're working to close it. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. This role connects product, engineering, research, and GTM, turning technical capabilities and market insight into the positioning and assets that drive understanding, adoption, and growth. The ideal candidate combines deep technical curiosity with strategic marketing judgment. You'll be embedded in the robotics and physical AI ecosystem, tracking the conferences, companies, developers, researchers, and platform shifts shaping the market. You'll use that proximity to test our hypotheses, sharpen our positioning, and turn market signals into messaging and proof points that resonate with real buyers. Just as importantly, you'll feed validated demand back into product direction, helping us build toward the strongest opportunities. This is not a traditional product marketing role, nor is it pure demand generation. It's an opportunity for someone technical enough to understand the real-to-sim stack, strategic enough to synthesize product, market, and customer inputs into sharp messaging aligned with where we can win, and hands-on enough to create the stories, assets, and proof points that establish Niantic Spatial as a leader in physical AI. What You'll Do - Define the Market Narrative - Co-develop and continuously sharpen Niantic Spatial's category, positioning, and messaging for embodied AI. Carry this narrative across our website, campaigns, sales materials, and partner communications. - Build Credible Messaging - Build credible messaging around our embodied AI stack: real-world capture to simulation-ready digital twins, policy training in deployment environments, and the path toward visual-spatial intelligence. - Turn Capability Into Proof - Partner with Product, Engineering, Research, and Business Development to turn technical capabilities into credible, customer-facing proof that shows how the product works, performs, and fits into real-world workflows. - Keep the Story Defensible - Ensure every message clearly distinguishes what ships today, what is being validated, and what is on the roadmap, so our story remains accurate and defensible. - Build the Target-Account List - Build and maintain the target-account list for robotics and physical AI in collaboration with Go-to-Market, using market signals and customer insight to prioritize who we pursue, why, and when. - Run Competitive Intelligence - Run competitive intelligence and turn it into positioning, enablement, and clear guidance on where Niantic Spatial can win. - Shape Pricing and Packaging - Shape pricing, packaging, and initial product-led growth motions, turning technical capabilities into clear offerings and activation paths. - Develop and Execute Campaigns - Develop and execute campaigns that build awareness, generate qualified interest, and establish Niantic Spatial's presence in the market. - Build Co-Marketing Partnerships - Build co-marketing and case-study partnerships with robotics OEMs, simulation ecosystems, and strategic customers, turning them into customer stories, POVs, talks, and partner content. What You'll Bring - You've spent meaningful time in the physical AI space as an engineer-turned-marketer, marketing lead at a robotics or physical AI company, or a deep practitioner in the ecosystem. - You are comfortable operating in a category that is still taking shape. You can take fragmented market signals, technical nuance, and roadmap reality and turn it into a point of view the market can understand. - 5+ years of experience in product marketing, integrated marketing, technical sales, or category creation across robotics, autonomous systems, simulation, or physical AI. - A track record of defining emerging categories and translating complex technology into a clear narrative: what it is, why it matters, and why the company is positioned to lead. - The ability to build credibility with both technical buyers and executive stakeholders, turning market insight and product truth into positioning, proof points, and adoption-driving assets. - Strong judgment and a builder's mindset: willing to challenge assumptions, improve existing embodied AI messaging, and sharpen the company's go-to-market strategy without overclaiming. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Experience creating POVs, conference talks, partner content, customer stories, and practical buyer frameworks that shape perception and support real sales conversations. - Hands-on familiarity with NVIDIA Isaac Sim, with the ability to turn technical workflows into useful, compelling content. Compensation & Benefits Base salary range of $171,000 to $222,000. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three 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: Germany 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 skilled and motivated Field Operations Team Lead to support the deployment, integration, and maintenance of our humanoid robot solutions at customer facilities. As the on-site operations lead, you will coordinate site activities, collect operational data, and supervise a team of Field Operations Associates. This position requires problem-solving skills, sound judgement under pressure, and a customer-centric approach. . WHAT YOU'LL DO - Supervise a team of Field Operations Associates, setting and maintaining high standards in a demanding operational setting. This is a hands-on operational and technical leadership role representing Humanoid at customer sites. - Act as the on-shift operational leader, ensuring that the appropriate tools, spare parts, and equipment are available. - Supervise standard operating procedures (SOPs) for customer sites and document learnings from field issues. - Test product releases and robot capabilities. - Diagnose hardware and software issues using logs, diagnostics, and field observations, performing maintenance where appropriate. - Collect, analyse, and interpret operational data to evaluate robot performance, identify bottlenecks, and drive continuous improvements. - Track, document, and reproduce software and hardware issues, providing clear technical feedback to engineering and product teams. - Tackle production incidents and technical issues in cooperation with service and engineering teams. - Act as the primary on-shift liaison between the deployed location and Humanoid offices. REQUIREMENTS - Bachelor's degree in Robotics, Computer Science, Mechatronics, Engineering, or a comparable field (or technical equivalent). - 2–5 years of experience in industrial automation, robotics, or automotive integration, deployment, and development. - Strong technical understanding of mechanical, electrical, and networking systems, with hands-on experience in troubleshooting, assembly, and maintenance.Excellent problem-solving, analytical, and decision-making skills, particularly in high-pressure operational environments. - Strong communication, documentation, and stakeholder management skills, with the ability to work independently in dynamic customer environments. - Familiarity with project management and collaboration software (Confluence, Jira, etc.). - Business-fluent English. - Flexibility to support future assignments at customer sites and occasional visits to company locations in the UK and Europe. - Unrestricted right to work and live in the European Union.   WHAT WE'RE LOOKING FOR - Prior experience in warehouse/logistics automation, industrial robotics, or humanoid robotics deployment. - Working knowledge of a relevant local language (e.g. German). - Valid Class B (or equivalent) driver's licence. - Familiarity with software integration and sensor-based automation. - Experience with commissioning, acceptance testing, or software validation. - Experience working in complex operational environments. - Experience working directly with customers in an operational leadership role.