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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. 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

90 000 – 120 000 $

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. 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. 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: 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. ABOUT THE ROLE We're looking for someone to own Runway's SEO and AEO strategy, end to end. You’ll build out our library of SEO content at scale, run experiments to sharpen what's working, own technical SEO health and report on what’s working to drive organic growth. This is a hybrid strategy-and-execution role. You won't just hand off a keyword list and wait. You'll be optimizing a piece of content one day and making a technical case to our development team the next. WHAT YOU'LL DO - Own Runway's SEO and AEO strategy: Keyword cluster architecture (pillar-and-spoke), competitive SERP and content-gap analysis, understanding what stage of the buying journey a searcher is in so content matches what they actually need, as well as champion Runway's presence in AI-generated answers. - Build out Runway's library of SEO content: Briefs, landing pages, articles and more, identifying and scoping high-opportunity content, without sacrificing quality or brand voice - Design and run experiments on content formats, internal linking and page structure and use the results to sharpen the strategy - Own technical SEO health: Indexing, sitemaps, structured data and schema markup, ongoing site monitoring and recommend site structure and information architecture changes (page templates, internal linking, URL structure) that improve crawlability and rankings - Own measurement and reporting for organic growth: Track keyword rankings, organic traffic and AI citation trends against clear targets, and go beyond traffic volume to measure whether that traffic actually converts into product signups WHAT YOU'LL NEED - 4+ years in SEO, with experience contributing to overall strategy - Experience building or scaling an SEO function from a small base, moving fluidly between strategic and hands-on work - Experience collaborating across teams, including managing freelancers and partnering with product, marketing and design teams - Proficiency with GA4 and Google Search Console, plus keyword/competitive research tools like SEMrush or Ahrefs - Experience in AEO / AI-search visibility, with the ability to bake it into a broader SEO strategy - Experience using Profound, AirOps, or similar AEO tool is a plus - Experience at an AI, product-led or consumer-facing tech company is a plus, where SEO has to coexist with a fast-moving roadmap 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; 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. 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

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.

About KPI Solutions: KPI Solutions is a national supply chain consulting and warehouse automation systems integrator, formed in 2021 by merging Kuecker Logistics Group, PULSE Integration, and QC Software. The company specializes in material handling integration and delivers engineered solutions combining automated technologies (MHE, robotics, conveyor, ASRS, AMR/AGV) with intelligent warehouse execution software to optimize productivity and fulfillment speed. Position Summary: The Software Deployment Engineer I/II is an individual contributor responsible for end-to-end delivery, configuration, installation, and support of Kommand warehouse execution/control systems and related material handling hardware such as pick-to-light, overhead illuminators, AutoStore, and T-sort integrations. The role includes project-level system configuration, commissioning, installation, upgrades, and live troubleshooting independently across on-site and remote/office phases. This role consolidates hardware installation and commissioning functions previously done by a dedicated Systems Integration & Commissioning team. Key Responsibilities: On-Site Delivery: — Lead software commissioning of Kommand and peripheral hardware systems at customer sites as primary technical owner. — Full-scope installation of pick-to-light and overhead illuminator systems including wiring, physical installation, configuration, and functional testing. — Conduct Installation Qualification (IQ) and User Acceptance Testing (UAT) with formal documentation and customer sign-off. — Sole owner of Kommand and system-level troubleshooting for live production issues during on-site engagements. Remote / Office Delivery: — Independently deliver new Kommand installations including application pre-configuration, database scripting, and pre-deployment testing. — Deliver Kommand version upgrades including SSDT schema comparisons, version control, local pre-install testing, and customer coordination. — Perform production upgrade execution after business hours to minimize downtime. — Work on DEV, QA, and Sandbox environments during business hours. — Validate, diagnose, and remediate defects, escalating rarely. — Participate in on-call rotation covering Kommand, AutoStore, and T-sort system escalations. — Provide post-go-live support including system migrations, integration testing with ERP/WMS platforms (e.g., SAP/WMS), and multi-site rollout support. Project Configuration & Deployment: — Gather Kommand configurations and system parameters for projects. — Translate Business Requirements Document and customer conversations into system settings, network spreadsheets, and parameters. — Educate clients on host interface use. — Configure Kommand sandbox and production environments for customer testing and go-live. — Assist with training on new features. Scope & Independence: — Sole owner of critical workstreams including new installations, upgrades, and live troubleshooting. — Requires judgment and technical depth to manage customer-facing delivery, testing, and sign-off without dedicated support. Requirements: — Experience commissioning warehouse execution/control software and hardware peripherals. — Working knowledge of SQL Server environments including SSDT schema comparison and version control. — Experience with formal software testing methodologies (IQ/UAT) including documentation and customer sign-off. — Ability to diagnose, troubleshoot, and resolve live production issues under time pressure. — Comfort or willingness to perform hands-on installation work for pick-to-light and overhead illumination systems. — Willingness to work after hours and participate in on-call rotation. — Ability to translate business requirements into structured system configuration. — Strong customer-facing communication skills. Preferred Qualifications: — Experience with AutoStore and/or T-sort systems. — Experience with ERP/WMS integration testing (e.g., SAP). — Background in material handling, warehouse automation, or industrial controls. What we Offer: — Medical, Dental, Vision Insurance — Health Care Concierge Service — 401(k) Retirement Plan (Pre-tax & Roth) — Company paid Basic Life Insurance, Short-Term and Long-Term Disability — Voluntary Life & AD&D Insurance — Voluntary Accident, Critical Illness & Hospital Indemnity Insurance — Pet Insurance — Milk Stork Program — Wellness Program with gift card redemption and challenges — Paid Time Off (Vacation, Sick & 10 Holidays) — Training & Development Equal Employment Opportunity statement included.

Задачи: — Разработка и масштабирование World Models: проектирование и обучение массивных 3D/видеотокенизаторов и бэкбонов на базе Diffusion Transformers (DiT), Flow Matching и других технологий. — Построение пайплайнов для распределённого обучения тяжёлых foundation-моделей на вычислительном кластере. — Обучение Model-Based RL (MBRL) и политик IL + RL внутри замороженной латентной симуляции World Model. — Интеграция вспомогательных лоссов для perception-задач 3D-детекции, сегментации, трекинга. — Создание надёжного safety-контура поверх выходов модели и подготовка конструкции к реалтайм-инференсу на edge-девайсах робота. Требования: — Экспертное владение JAX и PyTorch. — Навыки масштабного распределённого обучения. — Глубокая математическая и ML-база. — Умение писать, генерировать и проверять быстрый оптимизированный код. Будет плюсом: — Опыт работы с Vision Foundation Models, генеративными видео- и image-моделями, синтезом лидарных облаков. — Опыт в Reinforcement Learning. — Опыт продвинутой квантизации тяжёлых трансформеров или диффузионных моделей для edge-девайсов. — Оптимизация инференса на борту робота. — Бэкграунд в Autonomous Driving, Motion Planning или Robotics. Условия: — Возможность обучения и компенсация 50% стоимости курсов по языку. — Другие бонусы, полный список которых доступен на сайте компании.

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About Niantic Spatial: Niantic Spatial develops geospatial AI and digital mapping technologies, including a proprietary database of over 30 billion posed images and a Visual Positioning System for precise positioning worldwide. They serve customers in robotics, public sector, energy, and industrial markets. About the Role: The Head of Talent Acquisition will lead and personally execute the recruiting function, reporting to the Chief People Officer. Responsibilities include full life cycle recruiting, recruiting operations, workforce planning, reporting, tools, external partners, and candidate experience. The role involves managing contract recruiting resources and designing and building the Talent Acquisition organization as the company grows. The position requires moving quickly without sacrificing quality and helping hiring teams focus on essential capabilities in deep-tech markets. What You'll Do: Full Life Cycle Recruiting - Manage a portfolio of searches across engineering, AI/ML, research, product, go-to-market, operations, and corporate functions, including executive and specialized roles. Handle all stages from intake to onboarding. Direct Sourcing - Develop creative sourcing strategies to engage passive talent in competitive markets and represent the company credibly. Executive Talent Advisory - Advise executives and hiring managers on role design, candidate profiles, talent availability, market dynamics, and hiring strategy. Lead intake and search-strategy discussions. Hiring Process & Assessment - Design hiring processes balancing speed, rigor, inclusion, and candidate experience. Build structured interviews, coach interviewers, maintain momentum, and partner with Compensation on offers. Recruiting Team & Partners - Manage contract recruiters, sourcers, search firms, and agencies. Set priorities, allocate requisitions, evaluate partners, and decide on support types. Build the Function - Define future Talent Acquisition structure, recruit and develop the team, and build a recruiting culture focused on speed, quality, and impact. Recruiting Operations & AI - Improve recruiting processes, adopt AI-enabled tools responsibly, maintain ATS data discipline, and ensure compliance with employment law and data privacy. Reporting, Insights & Talent Brand - Create dashboards and updates for executives on pipeline health, conversion, time to fill, source effectiveness, offer acceptance, and agency spend. Partner with Marketing to enhance the employee value proposition. What You'll Bring: 8+ years of full life cycle recruiting experience, ideally in high-growth technology, AI, deep tech, or competitive talent markets. Experience as a hands-on Talent Acquisition leader or functional owner with a meaningful requisition load. Exceptional direct-sourcing skills with a track record of engaging and closing passive candidates. Experience advising executives and senior hiring managers as a credible talent partner. An AI-forward mindset with experience integrating AI tools into recruiting workflows. Ability to manage a broad and shifting workload using technology, automation, and prioritization. Comfort with ambiguity and changing priorities, and ability to move between strategy, leadership, and execution. Focus on simplifying processes, evidence-based assessment, and high integrity with sensitive information. Bachelor's degree or equivalent experience. Nice to Have: Experience managing contract recruiters, sourcers, external partners, or internal Talent Acquisition professionals. Experience building or scaling a Talent Acquisition team, especially in early-stage or pre-product-market-fit companies. Familiarity with responsible and legally compliant use of AI and automation in recruiting. Recruiting experience in computer vision, machine learning, robotics, geospatial technology, enterprise software, or physical AI. Experience supporting U.S. and international hiring. Compensation & Benefits: Base salary range $225,000-$250,000, plus annual bonus, equity, and comprehensive benefits including medical, dental, vision coverage, and 401(k). Location & Work Model: Based in San Francisco office, with four days per week in office and additional on-site time as needed. Inclusive Application and Equal Opportunity statements included.

Задачи: — Разработка и сборка HTML/PHP и WordPress-шаблонов сайтов по заданию через ИИ — Наполнение шаблонов уникальным текстовым и графическим контентом по ТЗ — Сохранение SEO-структуры (title, meta-описания, h1-h6, sitemap, robots) — Подготовка архива с готовыми сайтами для передачи — Тестирование шаблонов на корректность отображения Требования: — От 1 года опыта в создании сайтов/шаблонов — Практика работы с HTML, CSS, PHP (базово); JavaScript (желательно) — Опыт сборки архивов готовых сайтов без развёртывания на сервере — Владение инструментами для работы с SEO-структурой (title, meta, h1-h6, sitemap, robots.txt) — Умение работать по ТЗ Условия: — удалённая работа — зарплата от 80 000 до 100 000 ₽ в месяц (на руки)

80 000 – 100 000 ₽

Location: New York, NY Workplace: Hybrid 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. ABOUT THE ROLE *Open to candidates based near our NYC office or those willing to relocate. We're looking for a Workplace Lead to own Runway's offices: where they are, how they get built and how they feel to work in. Today that means New York, San Francisco, Seattle, London, Paris, & Tel Aviv. Over the next few years it means more room in those cities and new locations elsewhere. You'll handle the real estate and the buildouts, what it costs to run each site, and the events and visits that happen in these rooms. You'll work with cross functional partners including People and Finance on how much space we need and when, and with IT and Security on what it takes to make a site usable. Expect to be close to the work itself, not only the strategy behind it. Things are always moving quickly at Runway, so this role calls for exceptional organization and the judgment to know what needs a plan and what just needs doing. WHAT YOU’LL DO - Handle the daily operation of each office: cleaning, repairs, food, supplies, access control, and health and safety - Own the workplace budget and the reporting behind it, from rent and capex through daily operating spend - Run Runway's onsite programming, including all-hands, offsites, team events, screenings and visits from partners and press - Decide how much space Runway needs in each city and by when, working from hiring forecasts with People and Finance - Take new offices from shortlist to signed lease, working with brokers, Legal and Finance on terms - Manage design, construction and furniture projects to move-in dates that hold - Work with IT and Security on network, AV and physical access ahead of each opening - Set up local vendors, services and compliance in markets where Runway hasn't operated before - Travel occasionally to Runway's other offices, usually around an opening or a large onsite event - Decide what good looks like for a Runway office, then keep checking each one against it, from the perspective of both the people working there and the people visiting WHAT YOU’LL NEED - 7+ years in corporate real estate, facilities or workplace operations - Deep project management experience across construction schedules, permitting and short-notice logistics - Hands-on lease and vendor contract experience, and a budget you personally signed off on - Cross-functional experience with teams such as Finance, People, IT and Security - At least one office you took from first site visit through opening day - International real estate, employment or compliance experience is a plus - Comfort writing the process docs, service standards and vendor scorecards a workplace function depends on - Accountability for offices you don't sit in every day 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

Продукт — AI-агент, который общается с клиентами в текстовом и голосовом каналах, помогает подобрать релевантные продукты и решения, ведёт диалог на естественном языке, работает на входящей и исходящей линиях, использует разные голоса и подстраивается под тональность и тип клиента, учитывая контекст общения. Дополнительные продукты команды: Робот-оператор — автоматизация обработки звонков и типовых сценариев. DIVR — интеллектуальная маршрутизация обращений. Voice — готовые голосовые решения для массовых коммуникаций. Текстовые коммуникации — шаблоны и отправка SMS, push-уведомлений, email, бумажных писем. Задачи: — Разработка, актуализация и поддержка автоматизированных тестов на Java с использованием Selenium, Cucumber, Allure — Проведение функционального и интеграционного тестирования — Запуск автотестов, анализ результатов, формирование отчётов о качестве и метриках — Внедрение и развитие технологий ИИ для решения бизнес задач — Взаимодействие с командой разработки, аналитиками и заказчиками в рамках Agile/Scrum — Ведение документации по тестированию (Confluence и Jira) — Обеспечение высокого уровня качества продукта и сервисов, своевременное выявление и устранение дефектов Требования: — Опыт работы автоматизатором тестирования на Java не менее 1 года — Опыт разработки технологий и реализации ИИ в финансовом секторе — Опыт работы в финтех и банковской сфере — Опыт функционального и интеграционного тестирования — Опыт автоматизации с Java, Selenium, Cucumber, Allure — Опыт работы с багтрекерами и системами управления тестированием (HP ALM, Atlassian Jira) — Опыт командной разработки с Confluence и Jira Условия: — Конкурентная зарплата (обсуждается на собеседовании) — Официальное оформление в российскую ИТ-компанию с аккредитацией — Бонусы: бесплатная подписка «СберПрайм+», скидки на изучение английского, бесплатный фитнес или скидки на абонементы, скидки от партнёров Сбера, корпоративная пенсионная программа — Удобный формат работы: удалённо или гибрид, «короткая» пятница

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Обязанности: • Разработка и сборка HTML/PHP-шаблонов и WP - шаблонов сайтов по заданию через ИИ; • Наполнение шаблонов уникальным текстовым и графическим контентом (на основе ТЗ); • Сохранение SEO-структуры (title, meta-описания, h1-h6, sitemap, robots); • Подготовка архива с готовыми сайтами для передачи; • Тестирование шаблонов на корректность отображения. Требования: • От 1 года опыта в создании сайтов/шаблонов; • Практика работы с HTML, CSS, PHP (базово), JavaScript (желательно); • Опыт сборки архивов готовых сайтов без развёртывания на сервере; • Владение инструментами для работы с SEO-структурой (title, meta, h1-h6, sitemap, robots.txt); • Умение работать по ТЗ.

80 000 – 100 000 ₽

Задачи: — Расширение сети партнеров: поиск компаний, заинтересованных в сотрудничестве; — Работа с входящими заявками: проведение встреч и онлайн-презентаций по продуктам компании; — Коммуникация с действующими партнерами-интеграторами: выстраивание совместной работы по проектам, пресейлам, вебинарам; — Планирование и реализация совместных маркетинговых активностей с партнерами; — Организация обучения сотрудников партнеров; — Подготовка коммерческих предложений, заключение договоров, контроль платежей. Требования: — Опыт продаж в B2B сегменте в IT от 1 года; — Высокий уровень коммуникации, опыт ведения переговоров и презентаций; — Грамотная речь, внимательность при составлении писем и документации; — Высшее образование. Условия: — Официальное трудоустройство в аккредитованной IT-компании; — Удаленная работа, полная занятость; — Обучение по продуктам компании; — Фиксированный оклад + бонусы.

110 000 – 110 000 ₽

Location: Gurgaon, India Workplace: hybrid About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    Job Reference: #LI-JC1 Role Purpose Manages complex, strategic AI training data projects. Owns end-to-end delivery, client relationships, and financial outcomes. Guides Project Coordinators, executes quality strategy in partnership with quality team, and drives process improvements and new service pilots. Assists in the management of complex projects that enable Generative AI capabilities for clients, guiding project coordinators and partnering with Quality on standards and continuous improvement. Key Responsibilities Program & Delivery Leadership: Execute delivery plans, milestones, resourcing, and controls for large or multi-workstream AI data projects (collection, labeling, evaluation). Client Management: Contribute to regular governance, status, and planning sessions; handle scope, priorities, and change. Financial Ownership: Track budgets, rates, and margins; manage forecasts, burn, and change orders to protect profitability. Quality Partnership: Share accountability with the Quality Analyst team for QA approach and continuous improvement loops. Resource & Capacity Planning: Plan and secure rater/annotator capacity; align training, shifts, and handoffs across time zones. Risk, Issue & Change Control: Run root-cause and corrective actions; escalate material risks with options and impact. Process & Service Innovation: Contribute to SOPs, templates, and dashboards; pilot new delivery methods and services for AI data programs. Compliance & Security: Ensure data handling, privacy, and security policies are followed across all workstreams. Reporting & Insights: Keep trackers and dashboards current; translate delivery data into clear, actionable insights for clients and leaders. Requirements  Education Bachelor’s degree or equivalent experience in business, data/operations, engineering, or related fields Experience 1+ years leading complex project delivery or operations (AI data, content review, annotation, labeling, or adjacent domains) Experience coordinating multi-team delivery and managing client touchpoints Skills Strong planning and organization across parallel workstreams Clear written and spoken communication with senior client stakeholders Solid use of spreadsheets, PM/task boards, and basic BI; comfort with ETL concepts is a plus Quality mindset with practical use of SOPs, QA gates, and acceptance criteria Financial awareness (budgets, margin, change orders) and sound trade-off judgment Coaching ability for junior PMs and Coordinators Confident escalation and negotiation to resolve risks, issues, and scope questions Comfortable working with global, distributed teams (intermediate to advanced English) Additional Qualifications (P1+) Near-native English with strong writing and editorial skills Hands-on experience with generative AI tools (text, voice, or video) Background in QA testing, rubric design, or AI safety/ethics evaluation Familiarity with data-annotation platforms and model-evaluation tools Ability to interpret code, datasets, and system workflows at a conceptual level (no coding required) Able to work independently and manage workflows effectively in a remote environment Multilingual ability beyond English Scope & Autonomy (P1 Alignment) Assists in leading one large strategic project or several medium projects end-to-end Executes delivery approach within scope, budget, and policies; escalates only non-standard or high-impact items Provides day-to-day direction to a small delivery pod (e.g., 2–8 Junior PMs/Coordinators) and influences cross-functional partners Shares accountability for quality outcomes with the Quality Analyst.

Location: San Francisco PlanetScale is growing rapidly and reinventing the transactional database market. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for early members of our Sales team that can form deep partnerships with our prospects and customers to help them adopt and succeed on the next generation of database infrastructure. We host the databases behind companies like Cash App, Intercom, and Cursor. In other words: important databases. We’re hiring a dedicated outbound SDR. You won’t inherit a dusty playbook assembled in 2017 and be told to “just add personalization.” You’ll help us build an AI-native outbound motion from the ground up. You’ll work with modern tools, help create the playbook, and have input into how we build outbound from here. This role is for someone who wants to sell, experiment, automate repetitive work, and learn how great infrastructure companies go to market. If that sounds exciting, and slightly intimidating, that’s probably a good sign! What ‘s the job to be done? Find promising companies that should be using PlanetScale, but aren’t yet. Research their architecture, growth, and likely infrastructure problems. Build creative outbound campaigns using tools like Claude and Clay. Talk to engineers and technical leaders without immediately saying, “Let me bring in someone technical.” Turn interest into real pipeline: a mapped buyer, an actual problem, and a reason to solve it now. Help determine what works, what doesn’t, and what we should scale. These attributes describe you. You have 1+ year of quota-carrying SDR or BDR experience. You’ve consistently hit your number. You’re early in your career, ambitious, and learning quickly. You already use AI to improve how you work—not just to rewrite emails with the word “delve.” You can show us something you built with Claude, Clay, or another AI tool and explain how it made you better or faster. When you encounter repetitive work, your first thought is, “Could a robot do this?” You’re curious about databases, infrastructure, and how modern AI companies are built. You actively seek feedback rather than treating it as a personal attack. What you will need. Not literal points. We do not have a leaderboard. But these will help: You’ve sold to engineers, platform teams, or infrastructure buyers. You’ve worked in developer tools, infrastructure, or open source. You’ve used Clay, Unify, Outreach, Salesloft, Gong, or Salesforce. You’ve worked somewhere with a real outbound playbook and know which parts are worth keeping. You can explain what a database does without checking Wikipedia first. Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Location This role is based in San Francisco. You'll need to already live here Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. OTE: $100,000 USD

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. ABOUT THE ROLE We’re looking for a Product Engineer to join our team and help us build cutting-edge, AI-powered video creation and collaboration tools. Rather than specialists, we’re seeking curiosity-driven engineers who are thoughtful problem solvers and thrive in fast-paced, high-ownership environments. Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying cutting-edge computer vision and generative models to production. A PEEK AT OUR TECHNICAL STACK The rich UI of our generative AI tools is powered by TypeScript and React with MediaBunny driving in-browser media and React Flow powering our node-based creative workflows. Our API endpoints for user and media management are written in TypeScript and Node.js and deployed as containerized services on AWS ECS Fargate. We leverage AI APIs to power advanced generative capabilities. WHAT YOU’LL DO - Create rich multimedia interfaces using the cutting-edge of the latest AI video generation models Gen-4.5 and Aleph 2.0 - Build end-to-end full-stack AI-powered product features — designing and developing both frontend experiences and backend systems, including authoring server-side processes and APIs that power our generative AI tools - Design and implement LLM-powered features and conversational interfaces - Partner with a world-class engineering team pushing the boundaries of creativity and content creation on the browser - Take on new challenges across the Frontend stack to implement product features for Runway’s machine learning-based generative AI tools - Improve the performance, reliability, and code quality of our codebases WHAT YOU’LL NEED - 5+ years of industry experience in a software engineering role, ideally full-stack focused - Demonstrated fluency in one or more programming languages, including but not limited to JavaScript/TypeScript - Experience building with third-party AI APIs (e.g., chatbots, LLM integrations) - Experience in architecting production-ready systems and familiarity with debugging and profiling tools - Ability to rapidly prototype solutions and iterate on them with tight product deadlines - Humility and open-mindedness; at Runway, we love to learn from one another 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: New York, NY; Seattle, WA; 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. ABOUT THE ROLE Open to hiring remote across the US. We also have offices in NYC, San Francisco and Seattle. This is the builder seat on the revenue team. You'll spend your time with sellers (BDRs, AEs and account managers), learning where the motion breaks. Then you'll fix it with software: signals, scoring, routing, agents and the CRM underneath. In practice you're also our RevOps lead, so you own the systems that turn product usage into pipeline and pipeline into closed-won. At Runway, a GTM Engineer understands the rep's day as well as the stack. You know why a lead should be worked now, which account deserves an AE's afternoon, and what gets a rep to actually open a tool. Then you build it with Clay, SQL, APIs and agentic workflows, where a traditional ops hire would file a ticket or buy another tool. We care more about what you've shipped and the behavior it changed than about the title you held. WHAT YOU'LL DO SIGNAL, SCORING & PIPELINE - Design our account and lead scoring model, with Fit, Intent and Engagement as separate inputs, and keep it honest against conversion data - Build the PLG-to-Enterprise signal layer: product usage, web and third-party intent feeding a prioritized BDR/AE queue, with routing and SLAs reps trust - Turn every signal into a reason to reach out (why this account, why now, why this person), packaged so a rep can act in minutes - Own Clay enrichment and outbound data infrastructure, and raise BDR output at the systems level - Spot patterns in what converts (segments, use cases, messaging, timing) and bring them to Sales, Marketing and Product SELLER WORKFLOW & AGENTS - Sit with frontline sellers to find where the motion breaks, then ship the fix within two weeks - Build and run the GTM agent fleet (account research, pre-call briefs, follow-up drafts, CRM updates) from prototype to daily use, with reps reviewing and approving - Surface the right account context at the right moment: before QBRs, ahead of renewals, when an expansion signal fires - Build churn-risk and expansion detection with Deployment and CX so the post-sale motion runs on live signals - Instrument every agent so decisions, failures, human edits and outcomes are visible, and own the loop of evals and iteration REVENUE SYSTEMS & POLICY - Own the commercial model in Salesforce (routing, territories, rules of engagement, approvals) as the source every system and agent reads from - Connect the stack (Salesforce, Gong, Clay, product usage, the warehouse) so an account looks the same everywhere - Automate deal desk work: quote workflows, discount approval routing, and pricing guardrails enforced in-system - Partner with Sales leadership and Finance on comp plan and policy mechanics (crediting, CRM hygiene requirements, win/loss capture), and build systems that make the behavior we pay for the easy path - Build the reporting under the CRO dashboard: pipeline coverage, conversion rates, ramp velocity, forecast accuracy MEASUREMENT & ITERATION - Own every build end to end: discovery, prototype, rollout, adoption, iteration - Measure the adoption and revenue impact of everything you ship, and kill what nobody uses - Bring the VP build-vs-buy recommendations backed by working prototypes - Feed field evidence to Product so enterprise signals reach roadmap decisions WHAT YOU'LL NEED - 5+ years in GTM roles (RevOps, sales ops, GTM engineering, sales development or sales), with at least 2 spent building systems for revenue teams - Real time close to the number: you've carried a quota, run an SDR team, or worked alongside sellers long enough to know their day and what they'll actually use - A scoring or routing system you designed, and the conversion change it drove - Builds you can demo: enrichment pipelines, routing logic, agent workflows in production, and the adoption numbers behind them - Hands-on Clay skills (or show us you can get dangerous in it during the process), working SQL, and enough Python or JavaScript to call APIs and ship automations - Familiarity with enterprise sales motions at $100K to $2M ACV - Experience shaping comp plans, rules of engagement or sales policy is a plus - Salesforce admin depth, data warehouse or analytics engineering experience is a plus. We'll take an operator who builds over an engineer who's never sat with a rep. 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