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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. WHY THIS MATTERS Runway is building AI to simulate the world. We think world models, not language models alone, are the path to general-purpose simulation: systems that experience the world, learn from their mistakes, and change how stories get told, how science gets done, and how the next frontiers of humanity are reached. Applied AI is where that research meets a customer with a deadline. Every one of the world's largest studios, brands, and platforms hits a moment where Runway stops being a demo and becomes the way they actually make things. Our team exists for that moment, and we organize around one question: what's blocking this customer from production, and how do we remove it? ABOUT THE ROLE This is a role for people who want to own a problem, not an account. You'll sit with the biggest studios, brands, and Fortune 100 companies in the world, figure out what's actually standing between them and production, and build whatever removes it. Some weeks that's a workflow. Some weeks it's a plugin or an integration nobody has written yet. Some weeks it's getting a room of executives to make a decision they've been putting off. Your work will be on screen: Emmy-winning shows, Oscar-winning films, Super Bowl commercials, the stuff people actually watch. And the things you build for one customer tend to become product for all of them. Our team's first Shopify plugin started as a customer blocker and was in engineering's hands within a few weeks. We treat this team as R&D for that reason, not as a cost center. We have offices in NYC, San Francisco, Seattle, and London. NO TWO WEEKS ARE THE SAME, BUT YOU CAN EXPECT TO: - Find the real problem: sit with the creative, technical, and executive teams at a customer, map how they actually work, and locate the blocker between them and production. Usually it's one of three things: a missing integration, an unproven pipeline, or a stakeholder who isn't convinced yet. - Build the first of its kind: the demo that shows a studio head or a Fortune 100 CMO something nobody has shown them before. Working proofs of concept on the customer's own brand, footage, or catalog, often built in a day or two before the meeting, and the best of them become product for everyone. - Make it reusable: turn the one-off that unblocked one customer into the workflow, plugin, or integration the next ten customers start from. - Run the evaluation: own evaluation plans end to end, guide managed trials, build tailored demos on the customer's own footage and brand, and carry the technical side of deal cycles with AEs. - Scope deployments that land: 4–12 week engagements with customer-defined success criteria, a hands-on builder and an executive sponsor on their side from day one, and enough discipline to keep them on scope when the asks start piling up. - Get customers to production fast: take new technical and non-technical customers from signed contract to first production call in days rather than quarters, grow API-only accounts into Platform + API, and fix the onboarding so the support tickets stop coming. - Present to anyone: walk an analyst through a pipeline in the morning and a studio head through a production plan in the afternoon. - Bring the field back to the product: embed with Product, Engineering, and Creative to turn what you saw at the customer into roadmap. Every repeat ask is a product requirement, not a patch. - Measure what the customer measures: time to production, usage before and after a project, what they shipped because you were there. We track our own numbers in Salesforce and the warehouse; you'll own yours. WHAT WE VALUE - People who aren't satisfied with surface-level answers and will go into the data, the code, and the room to find the real one - Low ego: the customer's outcome matters more than who gets the credit - Comfort with open-ended problems in unstructured environments, and the instinct to create structure instead of waiting for it - Builders who would rather prototype than debate, and who keep iterating with the customer until it actually works - Adaptive and introspective: willing to learn, guide, lead, and follow WHAT WE NEED - You build things that run in production. Python or TypeScript, APIs, integrations, and data pipelines. Whether you write the code yourself or with coding agents, you can read it, debug it when it breaks, and explain line by line why it's built that way, including to a customer's engineering team. You've shipped something a customer actually ran: a workflow, an integration, a plugin, or an internal tool. - You've deployed AI or ML systems and integrations inside complex organizations and can point to the outcome, not just the delivery - You can hold a room of executives and a room of engineers, and translate between the two. Some of those rooms are at the customer, so expect some travel. - Nice to have: data tooling (SQL, BigQuery, Retool), or experience in media, entertainment, or advertising production 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: 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 Head of Workplace & Facilities based in London, you will be responsible for ensuring our teams operate in environments that are not only functional and safe—but scalable, adaptable, and built for the pace of high-growth product development. From brownfield build-outs to continuous upgrades, you will translate company-wide requirements into fit-for-purpose, high-performance facilities. You will own the planning, delivery, and management of all physical environments that enable engineering and company operations—from collaborative workspaces and lab floors to test zones and logistics areas. You will lead brownfield and retrofit programmes across our sites, ensuring they meet the exacting needs of modern robotics engineering This is a highly cross-functional, technically grounded leadership role. You’ll partner with hardware, software, and operations teams to turn functional requirements into physical reality—ensuring that space never becomes a blocker to speed, safety, or innovation. This role also includes accountability for general office management, including oversight of our workplace operations team and front-of-house function. You’ll ensure the daily experience in each site reflects our culture and values—providing a seamless, well-run environment for employees, visitors, and partners. WHAT YOU'LL DO: Facility Strategy & Planning - Define and lead the physical environment strategy across lab, workspace, test, integration, prototype manufacturing, and office areas - Translate functional and technical requirements from all parts of the business into clear, scalable space plans - Lead site assessments, feasibility studies, and future planning across global locations - Develop and maintain design standards for our labs and shared workspaces Programme Delivery (Brownfield & Fit-Out) - Own the full lifecycle of facility programmes: scoping, budgeting, planning, contractor management, delivery, and commissioning - Oversee brownfield upgrades to enable evolving R&D, prototype manufacturing, and testing needs - Manage external architects, engineers, contractors, and consultants - Coordinate delivery timelines with product, hiring, and operational roadmaps Prototype Manufacturing & Lab Readiness - Ensure infrastructure supports mechatronics-heavy workflows including actuator assembly, sub-system integration, electronics rework, and test rig operation - Define layouts and utility requirements (power, ESD, ventilation, compressed air, equipment mounting, etc.) for in-house prototyping and low-volume builds - Establish protocols for safe operation, material flow, and flexible reconfiguration of physical spaces Office Operations & Workplace Experience - Lead general office and workplace management across all global sites - Oversee a dedicated office and reception team, ensuring smooth daily operations, visitor experience, and front-of-house service - Maintain a welcoming, professional, and functional workplace aligned with our culture and operational rhythm - Partner with People and IT to ensure workspaces support hybrid collaboration, new joiner onboarding, and employee well-being Facility Operations & Lifecycle Management - Set up and oversee systems for space allocation, access control, maintenance, and infrastructure monitoring - Lead improvements in facility uptime, utilisation, safety, and team experience - Manage shared infrastructure including lab services, AV, security, physical IT, and environment monitoring - Maintain compliance with local codes, safety regulations, and relevant R&D standards Cross-Functional Collaboration - Partner with stakeholders across engineering, manufacturing, people, logistics, IT, and workplace operations - Work with executive leadership to develop long-term facilities strategy, capital planning, and space forecasting - Represent facilities in company-wide planning processes, including headcount growth and program milestones - Drive alignment between physical infrastructure and company objectives WHAT WE'RE LOOKING FOR: - 10+ years of experience in facilities, technical operations, or capital project delivery in R&D or advanced manufacturing environments - Proven track record managing brownfield retrofits and complex fit-out programmes - Strong technical understanding of infrastructure requirements for labs, prototype manufacturing, and mixed-use technical spaces - Experience overseeing general office operations, reception, and workplace experience functions - Fluency across building systems (power, HVAC, ventilation, ESD, security, etc.) and health & safety best practices - Highly organised, delivery-focused, and skilled in leading cross-functional capital programmes from start to finish Nice to have - Experience in robotics, aerospace, automation, or electromechanical product development - Familiarity with ISO/cleanroom environments, build/test zones, or controlled lab standards - Track record building or scaling physical infrastructure in high-growth organisations - Experience with real estate strategy, landlord/tenant negotiations, or hybrid campus models WHAT WE OFFER: - Competitive equity: stock options with meaningful upside as we scale. - 30+ days 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.

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 New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is rapidly building the leading ecosystem of generative models, bringing the best models from AI labs around the world to our users alongside our own. We are looking for an IC to source, activate, and scale relationships across Runway's growing portfolio of model partners. This is a role for someone who wants to own whatever needs owning, take new models from first conversation to launch, and write the playbook where none exists yet. You will work closely across Engineering, Product, Legal, Finance, and Marketing. WHAT YOU'LL DO - Own a broad portfolio of model partners end to end, across modalities - Track the model landscape relentlessly: spot new labs and releases early and bring the strongest ones to the team as candidates for integration - Take new partners from zero to launched: source, structure and negotiate commercial terms, then close with Legal and Finance - Be the partner's main point of contact through launch, working closely with our engineering team - Build deep, trusted relationships with founders, BD leads and research teams at our partners, and turn those relationships into early access, better terms and joint launches - Run the portfolio with rigor: set check-in cadences, monitor relationship health, and spot and escalate risk early - Track usage, spend and margin by partner and model, and use that data to decide where to invest, renegotiate or step back - Partner with Marketing and our partners on co-marketing for model launches - Build the frameworks and tools that let the function scale as the ecosystem grows WHAT YOU'LL NEED - 5+ years of experience across some combination of partnerships, business development, GTM, consulting, or founding/operating, with a track record of having owned outcomes end to end - Experience negotiating commercial agreements, ideally usage-based, API or platform deals - Genuine obsession with generative AI: you know the labs, you try new models the day they ship, and you have opinions on what makes one good - Demonstrated range: you've done the deal and the integration and the launch - High technical aptitude for understanding complex technologies, tools, systems, and issues - Strong analytical capabilities, with the ability to turn usage and spend data into a clear recommendation - Ability to manage many relationships and priorities at once in a fast-paced environment without dropping threads - Clear, concise communication, from a startup founder to a big-lab partnerships team to a Runway engineer in the same day - A strong bias towards action and belief that no task is too small for you - Highly resourceful, with the ability to create structure and work autonomously amid ambiguity - New York-based preferred 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: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve automatic speech recognition (ASR) for Sophea Meet. You will work with real meeting audio and own the improvement loop from data and model experiments through evaluation and production performance. The initial language focus is English. Additional languages, starting with Greek, will be prioritized with Product based on usage and product needs. What you will do - Train, fine-tune, adapt, and evaluate speech recognition models based on measured product needs. - Build representative benchmarks and regression tests for real meeting audio. - Prepare speech datasets and investigate difficult cases, including noise, overlapping speakers, long sessions, and specialized terminology. - Use error analysis to decide which model, data, or pipeline changes will improve transcription quality. - Improve inference across accuracy, latency, throughput, reliability, and cost. - Deploy and monitor model versions with Engineering, while working with Product to set quality goals and prioritize improvements. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Strong hands-on ASR or speech ML experience, including a speech recognition system you shipped or materially improved. - Experience training, fine-tuning, or adapting deep learning models using real-world audio data. - Strong evaluation skills, including WER/CER, benchmark design, error analysis, and regression testing. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience deploying, monitoring, and maintaining production ML systems. Nice to have - Multilingual ASR, accent robustness, domain adaptation, or diarization. - Streaming speech recognition and low-latency inference. - MLOps, evaluation, or data pipelines for speech systems. - Experience with meeting transcription, voice agents, or enterprise speech products. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve the agent and long-context LLM capabilities behind Kiefer Tech’s AI products. You will work hands-on across post-training, data, evaluation, agent design, and inference, with the goal of making multi-step tasks more reliable in production. What you will do - Run post-training experiments using supervised fine-tuning, preference optimization, reinforcement learning, or other suitable methods. - Improve how agents plan, use tools, manage execution, and recover from errors. - Build benchmarks, verifiers, and diagnostic tools to measure agent performance and identify failures. - Generate and curate training data, including agent trajectories and difficult cases from target workflows. - Evaluate and improve long-context behavior, memory and retrieval interactions, and reliability over multi-step tasks. - Work with ML, Product, and Engineering to improve inference and bring successful experiments into production with clear regression checks. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Hands-on LLM post-training experience in at least one area: supervised fine-tuning, preference optimization, reinforcement learning, or a comparable method. - Experience building agent systems involving tool use, multi-step execution, and error recovery. - Strong skills in model and agent evaluation, failure analysis, and the creation or curation of training data. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience improving or deploying model-backed systems, with an understanding of LLM inference performance and cost. Nice to have - Reward modeling or verifier-based training. - Long-context training, memory systems, retrieval, or context compression. - Distributed training or high-performance LLM serving. - Experience delivering agents for complex enterprise, coding, or research workflows. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Poland Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve how our language models work for Polish users. You will measure quality on real product tasks, build Polish-language data and evaluations, and improve models where the results show gaps. Your work will help us understand which Polish-language use cases are ready for launch. The methods you build should also be useful as we expand to other languages. What you will do - Define priority Polish-language use cases and quality targets with Product and go-to-market teams. - Measure current model quality in Polish and investigate errors in language use, terminology, and user tasks. - Build Polish-language datasets and evaluations, using native-speaker review where needed. - Improve model quality through better data, fine-tuning, post-training, or other adaptation methods. - Set up regression tests, quality checks, and monitoring for Polish-language model updates. - Use evaluation results and market feedback to identify remaining gaps and recommend next steps. What you will need - 3+ years of hands-on ML or NLP engineering experience, including work on a non-English or multilingual system in production. - Strong Python skills and experience with PyTorch, JAX, TensorFlow, or a similar ML framework. - Experience building evaluations that reflect real user tasks and combine automatic metrics with human review. - Experience preparing and checking language datasets and building reliable data pipelines. - Hands-on experience fine-tuning, post-training, or adapting NLP or LLM models and measuring the results. - Strong software engineering and production ML skills, including model versioning, regression testing, and monitoring. Nice to have - Professional working proficiency or native-level fluency in Polish. - Experience improving an AI or NLP product for a new language or market. - Research or open-source work in multilingual NLP or model evaluation. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Agile Robots SE is looking for a Sales Backoffice Manager to coordinate sales operations, orders, projects, and cross-functional processes.

Agile Robots SE is looking for a DevOps Engineer with AI ML Evaluation Focus to operate cloud infrastructure, automate deployments, and evaluate AI models.

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an MLOps Engineer to build the infrastructure and tools that support ML work at Kiefer Tech. Our work spans Sophea AI language model, the Sophea Nous RAG platform, robotics, and Hyperion X, our energy trading platform. You will work closely with ML and Engineering teams to make experiments reproducible and model deployment and production operations reliable. What you will do - Build workflows for running and managing model training and fine-tuning jobs. - Make experiments traceable through dataset, checkpoint, and model artifact versioning. - Automate model evaluation and release checks so teams can compare changes before deployment. - Build deployment and serving workflows, including safe rollout and rollback of model versions. - Improve GPU workload scheduling and utilization, with attention to performance and compute cost. - Add monitoring and troubleshooting tools for production ML systems, and work with teams to resolve recurring issues. What you will need - Hands-on experience building or operating infrastructure for production ML systems. - Strong Python and Linux skills, with the ability to write maintainable production code. - A practical understanding of the ML lifecycle, from experiments and evaluation to model deployment. - Experience with containers, workload orchestration, CI/CD, and infrastructure automation. - Experience working with GPU workloads and measuring performance, utilization, and cost. - Experience monitoring and troubleshooting production systems. Nice to have - Experience with LLM serving tools such as vLLM, SGLang, or NVIDIA Triton. - Experience with distributed or multi-GPU training. - Experience with ML tooling such as MLflow, Weights & Biases, Kubeflow, or Ray. - Experience supporting ML workloads in private cloud or on-premises environments with data governance requirements. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a motivated and proactive Business Development Representative to join our Sales Team and support Xometry’s growth across international markets. In this role, you will develop new business opportunities, manage customer relationships, and build long-term partnerships with small and medium-sized businesses across industries such as mechanical engineering, robotics, infrastructure, furniture manufacturing, and more. This is an excellent opportunity for someone with strong communication skills, a commercial mindset, and the ambition to grow within a fast-paced international environment. How You’ll Contribute: Develop and expand the customer base through proactive outbound sales activities and inbound lead management Achieve established sales plans and individual KPIs Handle incoming customer requests promptly and professionally Maintain effective communication with customers through calls, emails, online meetings, and messaging platforms Maintain accurate and high-quality customer data in Salesforce Support customers with account usage, request submissions, and order placement Monitor and follow up on customer payments Maintain long-term relationships with existing customers while identifying upselling opportunities Identify and unlock new business opportunities through assigned and acquired customer accounts Represent Xometry professionally in communication with customers across various industries What You’ll Bring to Xometry: Experience: First experience in sales, business development, customer success, or account management Language Skills: Fluent Danish or Norwegian and English is mandatory Communication: Strong interpersonal and communication skills with the ability to build trust, negotiate, and achieve results Commercial Mindset: Ability to identify business opportunities, achieve sales targets, and contribute to a healthy sales pipeline Technical Mindset: Ability to quickly understand product specifics and communicate them effectively to customers Customer Focus: Strong social intelligence, empathy, and a customer-oriented communication style Personal Qualities: High level of responsibility, flexibility, determination, and motivation to grow International Experience: Experience living abroad is considered an advantage Location: Candidates must be located in Bulgaria #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a motivated and proactive Business Development Representative to join our Sales Team and support Xometry’s growth across international markets. In this role, you will develop new business opportunities, manage customer relationships, and build long-term partnerships with small and medium-sized businesses across industries such as mechanical engineering, robotics, infrastructure, furniture manufacturing, and more. This is an excellent opportunity for someone with strong communication skills, a commercial mindset, and the ambition to grow within a fast-paced international environment. How You’ll Contribute: Develop and expand the customer base through proactive outbound sales activities and inbound lead management Achieve established sales plans and individual KPIs Handle incoming customer requests promptly and professionally Maintain effective communication with customers through calls, emails, online meetings, and messaging platforms Maintain accurate and high-quality customer data in Salesforce Support customers with account usage, request submissions, and order placement Monitor and follow up on customer payments Maintain long-term relationships with existing customers while identifying upselling opportunities Identify and unlock new business opportunities through assigned and acquired customer accounts Represent Xometry professionally in communication with customers across various industries What You’ll Bring to Xometry: Experience: First experience in sales, business development, customer success, or account management Language Skills: Fluent French and English is mandatory Communication: Strong interpersonal and communication skills with the ability to build trust, negotiate, and achieve results Commercial Mindset: Ability to identify business opportunities, achieve sales targets, and contribute to a healthy sales pipeline Technical Mindset: Ability to quickly understand product specifics and communicate them effectively to customers Customer Focus: Strong social intelligence, empathy, and a customer-oriented communication style Personal Qualities: High level of responsibility, flexibility, determination, and motivation to grow International Experience: Experience living abroad is considered an advantage Location: Candidates must be located in Bulgaria The estimated base salary range for new hires into this role is [INSERT RANGE AND CURRENCY] annually + unlimited commission depending on factors such as job-related skills, relevant experience, and location. We also offer full-time remote work; a corporate laptop and corporate IP telephony; structured onboarding covering all tools, systems, and processes; an international and supportive team environment; career growth and development opportunities within a fast-growing global company; a flexible and dynamic work culture with fast decision-making; regular well-being initiatives and global charity projects; and team meetings and company events from time to time. #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a motivated and proactive Business Development Representative to join our Sales Team and support Xometry’s growth across international markets. In this role, you will develop new business opportunities, manage customer relationships, and build long-term partnerships with small and medium-sized businesses across industries such as mechanical engineering, robotics, infrastructure, furniture manufacturing, and more. This is an excellent opportunity for someone with strong communication skills, a commercial mindset, and the ambition to grow within a fast-paced international environment. How You’ll Contribute: Develop and expand the customer base through proactive outbound sales activities and inbound lead management Achieve established sales plans and individual KPIs Handle incoming customer requests promptly and professionally Maintain effective communication with customers through calls, emails, online meetings, and messaging platforms Maintain accurate and high-quality customer data in Salesforce Support customers with account usage, request submissions, and order placement Monitor and follow up on customer payments Maintain long-term relationships with existing customers while identifying upselling opportunities Identify and unlock new business opportunities through assigned and acquired customer accounts Represent Xometry professionally in communication with customers across various industries What You’ll Bring to Xometry: Experience: First experience in sales, business development, customer success, or account management Language Skills: Fluent Spanish and English is mandatory Communication: Strong interpersonal and communication skills with the ability to build trust, negotiate, and achieve results Commercial Mindset: Ability to identify business opportunities, achieve sales targets, and contribute to a healthy sales pipeline Technical Mindset: Ability to quickly understand product specifics and communicate them effectively to customers Customer Focus: Strong social intelligence, empathy, and a customer-oriented communication style Personal Qualities: High level of responsibility, flexibility, determination, and motivation to grow International Experience: Experience living abroad is considered an advantage Location: Candidates must be located in Bulgaria #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a motivated and proactive Business Development Representative to join our Sales Team and support Xometry’s growth across international markets. In this role, you will develop new business opportunities, manage customer relationships, and build long-term partnerships with small and medium-sized businesses across industries such as mechanical engineering, robotics, infrastructure, furniture manufacturing, and more. This is an excellent opportunity for someone with strong communication skills, a commercial mindset, and the ambition to grow within a fast-paced international environment. How You’ll Contribute: Develop and expand the customer base through proactive outbound sales activities and inbound lead management Achieve established sales plans and individual KPIs Handle incoming customer requests promptly and professionally Maintain effective communication with customers through calls, emails, online meetings, and messaging platforms Maintain accurate and high-quality customer data in Salesforce Support customers with account usage, request submissions, and order placement Monitor and follow up on customer payments Maintain long-term relationships with existing customers while identifying upselling opportunities Identify and unlock new business opportunities through assigned and acquired customer accounts Represent Xometry professionally in communication with customers across various industries What You’ll Bring to Xometry: Experience: First experience in sales, business development, customer success, or account management Language Skills: Fluent Italian and English is mandatory Communication: Strong interpersonal and communication skills with the ability to build trust, negotiate, and achieve results Commercial Mindset: Ability to identify business opportunities, achieve sales targets, and contribute to a healthy sales pipeline Technical Mindset: Ability to quickly understand product specifics and communicate them effectively to customers Customer Focus: Strong social intelligence, empathy, and a customer-oriented communication style Personal Qualities: High level of responsibility, flexibility, determination, and motivation to grow International Experience: Experience living abroad is considered an advantage Location: Candidates must be located in Bulgaria #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: 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 Strategic Finance is a high-visibility, high-impact role embedded in the decision-making core of the company. You will serve as a crucial partner to our executive, R&D, and GTM teams, owning the financial modeling and analysis that drives our core product and research strategy, optimizes our GTM engine, and informs critical operational decisions. This is a role for someone who has done this inside a fast-growing company before. You bring that operating judgment alongside analytical rigor, strong communication, and the curiosity to thrive at the frontier of generative AI. You’ll work closely with our CFO and Head of Strategic Finance, and partner directly with the executive team and cross-functional leads. WHAT YOU’LL DO - Partner deeply with Product, Research, and Engineering leadership to evaluate the financial ROI and viability of new product lines, features, and R&D investments. - Drive pricing and packaging strategies that maximize market penetration and revenue expansion. - Collaborate with Sales and Marketing leaders to analyze and optimize unit economics (LTV/CAC, payback periods), sales efficiency, pipeline health, and customer retention. - Act as the analytical engine for the executive team by leading cross-functional initiatives to improve operational efficiency, optimize resource allocation, and scale business processes. - Translate operational plans into financial models, identify risks and opportunities, and hold teams accountable to KPIs. - Own the KPI infrastructure that connects product and revenue metrics to financial outcomes, ensuring accuracy, timeliness, and a consistent narrative across all reporting. WHAT YOU’LL NEED - 7+ years of experience, including foundational analyst experience in investment banking or financial services, and high-impact operating experience in Strategic Finance, BizOps, or Corporate Finance at a high-growth technology company. - Experience building and leveraging AI tools for yourself and for cross-functional use. - A track record of operating through rapid scale: building and evolving financial models, planning processes, and reporting as a company’s complexity grows. - Strong fundamentals in financial modeling with a rigorous and quantitative approach to measuring operational success. - Exceptional communication skills with the ability to distill complex financial concepts into simple, digestible narratives for non-financial stakeholders. - You have a high bar for operational excellence and a keen sense of how to translate complex, ambiguous business questions to a clear plan of action. - A genuine interest in AI and its implications for industry and society 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 You'll help build the geometric foundation of the next-generation world map — joining our World Map Research Engineering team (Geospatial Alignment) as a Research Engineer or Senior Research Engineer. This is an end-to-end applied research role that spans from strong engineering and data-systems work to R&D in 3D deep learning, transformers, and foundation models. You'll develop new algorithms, produce the research data and evaluation assets needed to advance them, and engineer the resulting capabilities into dependable production systems. The World Map team works with heterogeneous captures from phones and handheld devices, aerial imagery, LiDAR, and 360 cameras, as well as external geographic and elevation data. The central challenge is to harmonize these data sources, quantify uncertainty, and maintain consistency as the map evolves. You'll work at the intersection of cutting-edge research and scalable engineering — developing new approaches to geospatial registration, correspondence, and geometric optimization, then productionizing these technologies to directly improve Niantic Spatial's world model. What You'll Do - Geospatial Registration — Develop and advance algorithms for world-scale georeferencing and registration across imagery, 3D reconstructions, point clouds, and geographic reference data. - 3D Geometry & Correspondence — Build and improve methods spanning multi-view geometry, SfM, SLAM, feature matching, learned correspondence, bundle adjustment, point-cloud registration, and ICP. - Data & Evaluation — Create the data and evaluation flywheel for world-scale mapping — design and maintain large-scale datasets, pipelines, benchmarks, and evaluation methodologies that expose hard failure modes, accelerate research iteration, and support production. - Learning-Based 3D Reasoning — Explore and develop learning-based approaches for geospatial understanding, combining transformers and 3D foundation models with geometric priors and uncertainty modeling. - Production Robustness — Design robust solutions for challenging real-world conditions: sparse or noisy GPS, changing appearance, inconsistent reconstruction quality, large geographic extents, and imperfect reference maps. - Cross-Functional Collaboration — Partner with leading researchers in visual localization, 3D computer vision, and mapping — as well as engineering and product teams — to identify high-impact problems and turn research breakthroughs into end-to-end production systems. - Research Communication — Share results clearly through technical writing, design reviews, and internal presentations; contribute to publications and open research where appropriate. WHAT YOU'LL BRING - Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Photogrammetry, or a closely related field — or equivalent research or industry experience. - Strong grounding in 3D computer vision, machine learning, robotics, photogrammetry, or a closely related area. - Demonstrated experience with 3D geometry and several relevant areas — multi-view reconstruction, SfM, SLAM, camera pose estimation, point-cloud registration, image-based localization, georeferencing, or sensor fusion. - The ability to formulate ambiguous real-world problems, choose the right mathematical or learning-based tools, and evaluate solutions rigorously. - Strong Python skills and experience with modern ML and scientific-computing libraries (PyTorch, NumPy, SciPy). - Strong software engineering skills — you can turn research prototypes into reliable, scalable, and maintainable systems. - A track record of taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. - Clear written and verbal communication; able to collaborate effectively across research and engineering disciplines. NICE TO HAVE - PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field — not required, but valued. - A strong publication record or active involvement in the research community at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, 3DV, ICRA, or RSS. - Experience with learning-based approaches for visual or 3D understanding — transformers, point transformers, foundation models, or methods combining learned representations with explicit geometric priors. - Experience with aerial or satellite imagery, GNSS/GPS, geodesy, mapping systems, or large-scale spatial data. - Evidence of technical leadership, mentorship, or successful cross-functional delivery. COMPENSATION & BENEFITS Base salary: Competitive market rate. 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. We welcome applications from candidates who require visa sponsorship. 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.

Задачи: — Собирать и кластеризовать семантику в Вордстате, решать, какой сайт или страницу делать следующей, и обосновывать это цифрами; — Разбирать выдачу Яндекса: кто в топе, почему и что нужно, чтобы их обойти; — Проектировать структуру сайтов: URL, title, description, H1-H3, перелинковка; — Ставить ТЗ на тексты и вычитывать их (пишем с нейросетями - от тебя структура, ключи, факты и доводка до уровня, который пройдёт асессора); — Заниматься техническим SEO: sitemap, robots, canonical, микроразметка (FAQPage, BreadcrumbList), скорость, индексация; — Работать с Яндекс Вебмастером и Метрикой, докручивать страницы на 4-20 местах; — Следить, чтобы Яндекс не склеил сайты сетки: разные шаблоны, тексты, структура, аккаунты; — Обновлять живые сайты: даты, актуальность сервисов, новые хвосты запросов; — Вести короткий план и журнал решений. Требования: — Опыт SEO под Яндекс от 2 лет и свои кейсы вывода сайта с нуля (новый домен, информационный или партнёрский сайт) со скринами Вебмастера или Метрики; — Уверенная работа с Вордстатом (новый интерфейс) и кластеризацией, неважно чем: Key Collector, Rush Analytics, Topvisor, Python; — Понимание, как Яндекс ранжирует запросы «лучший X» / «X для Y»: поведенческие, песочница нового домена, склейка аффилиатов, Баден-Баден, ИКС; — Навык работы с нейросетями для контента и понимание, где они ошибаются; — Умение читать HTML и не бояться правок в коде (Git - плюс). Будет плюсом: — Опыт с сетками сайтов, PBN, арбитражем через SEO; — Понимание CPA и партнёрок, как трафик превращается в деньги; — Python для парсинга и автоматизации рутины; — Знание VPN (протоколы, клиенты) или готовность быстро вникнуть. Условия: — Полностью удалённый формат, полная занятость, свободный график — важны результат и связь в рабочее время (МСК ±3 часа); — Зарплата обсуждается индивидуально, ориентируемся от $1500 в месяц.

🔸Собирать и кластеризовать семантику в Вордстате, решать, какой сайт или страницу делать следующей, и обосновывать это цифрами; 🔸Разбирать выдачу Яндекса: кто в топе, почему и что нужно, чтобы их обойти;

развивать и сопровождать код подрядчика для управления автопарком роботов; выполнять задачи в рамках backend (Python/Django) и frontend (React/TypeScript);