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Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Urdu (Romanized) speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Urdu (Romanized) speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Urdu (Romanized), and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Urdu (Romanized) and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Bengali speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Bengali speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Bengali, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Bengali and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Hindi (Romanized) speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Hindi (Romanized) speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Hindi (Romanized), and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Hindi (Romanized) and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Urdu speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Urdu speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Urdu, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Urdu and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Компания ВсеИнструментыру приглашает на должность Data Engineer для удалённой работы в России с полной занятостью. Основная задача специалиста — развитие корпоративной платформы данных и хранилища данных (DWH), включая модернизацию ETL-процессов с переходом с SSIS на Apache Airflow 3 и внутренний Python-фреймворк, а также повышение надёжности и удобства работы с данными для аналитических команд. В обязанности входит создание и поддержка устойчивых data-пайплайнов с обеспечением таких функций, как повторные попытки выполнения, backfill, идемпотентность, дедупликация и корректная обработка ошибок. Также требуется развитие проверок качества данных, оптимизация SQL-запросов и работы с Microsoft SQL Server, внедрение CI/CD-процессов для работы с данными, создание переиспользуемых инструментов и self-service решений, а также участие в развитии архитектуры DWH и методик моделирования данных. Кандидат должен иметь не менее трёх лет опыта работы Data Engineer, уверенные навыки SQL и опыт работы с Microsoft SQL Server, владение Python с применением ООП, модульной архитектуры, type hints, тестирования, логирования, работы с REST API и базами данных. Необходим опыт работы с Apache Airflow или аналогичными промышленными оркестраторами, знание dbt или похожих SQL-трансформационных фреймворков, понимание ETL/ELT процессов, batch и near-real-time обработки, умение строить отказоустойчивые data-пайплайны, опыт работы с Git и CI/CD, а также реализация проверок качества данных. Требуется понимание архитектуры DWH, организации слоёв данных и подходов к моделированию, таких как Kimball, Inmon, Data Vault и Anchor Modeling.

Zscaler is looking for an Account Executive based in Chicago to join their Sales and Go-to-Market team, reporting to the Regional Director. The role involves building relationships with important internal and customer stakeholders, including c-suite decision-makers; creating a long-term account strategy aligned with customer goals; collaborating with teams to meet customer needs and contribute to account planning; and being a trusted advisor by understanding client businesses and aligning Zscaler solutions with their goals. Minimum qualifications include demonstrated curiosity and active exploration of AI tools with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving, 2+ years of full-cycle sales experience within the software or security industry, a Bachelor’s degree or equivalent experience, and progressive selling experience engaging with accounts. Preferred qualifications include established relationships with current and prospective customers with a deep understanding of how technology facilitates high-level business goals, proficiency in strategic sales planning with a proven track record of closing net new logos, and experience meeting or exceeding sales targets through the effective use of channel partnerships. The salary range for this full-time position is $90,300 to $129,000 USD per year, excluding commission, bonus, equity, and benefits. Benefits include various health plans, time off plans for vacation and sick time, parental leave options, retirement options, education reimbursement, in-office perks, and more. The position supports a hybrid working model with remote work options. Zscaler is committed to equal employment opportunities and fostering an inclusive environment that values all backgrounds and perspectives. The company complies with all applicable pay transparency rules and provides reasonable accommodations in recruiting processes for candidates with diverse needs. By applying, candidates adhere to applicable laws, regulations, and Zscaler policies related to security and privacy standards.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Responsibilities: Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs Integrate with third-party identity verification and data enrichment vendors You may be a good fit if you have: A Bachelor's degree in Computer Science, Software Engineering, or comparable experience Experience building and operating backend systems in production Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Strong candidates may also: 8+ years of industry software engineering experience Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build Experience with identity, authentication, or authorization systems at scale Experience with KYC/KYB workflows or identity verification vendors Experience in trust and safety, integrity, fraud, or abuse detection Experience detecting and responding to account takeover or credential compromise Experience partnering with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python and Typescript An ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Frontend Engineer An overview of this role As a Senior Frontend Engineer, you'll solve high-scope frontend problems and influence your team's technical and product direction. You'll ship moderately sized features with minimal guidance, improve quality and performance, mentor other engineers, and help establish standards for a high-scale web environment. You'll partner across product, design, backend, and frontend to make sound trade-offs, communicate clearly, and improve how the team delivers software. This is an opportunity to shape product experiences and frontend architecture for a global platform while helping define how modern frontend teams use agentic artificial intelligence. You'll apply artificial intelligence-assisted engineering workflows thoughtfully and help create trustworthy user experiences that incorporate artificial intelligence responsibly in a remote-first, asynchronous organization. What you’ll do Design and ship moderately sized frontend features and improvements with minimal guidance, making pragmatic architectural choices. Turn ambiguous customer and product needs into clear technical plans and intuitive, accessible experiences. Advocate for product quality, security, accessibility, performance, maintainability, and operational readiness throughout the development lifecycle. Establish and improve practices for frontend architecture, styling, component design, testing, observability, maintainable code, and thoughtful use of artificial intelligence and agentic tools in production engineering work. Mentor Associate and Intermediate Engineers, share knowledge, remove technical blockers, and improve team delivery practices. Diagnose and prevent frontend performance and reliability issues at scale using observability and production signals, and participate in incident response or on-call responsibilities under your team's ownership model. Design or review independently buildable frontend surfaces and explicit contracts for data, events, authorization, feature flags, error handling, testing, and performance expectations. Collaborate with product, design, backend, quality, security, and other teams to deliver cohesive customer outcomes. What you’ll bring Experience applying frontend architecture, browser behavior, testing, accessibility, performance, and maintainability practices in a complex product or platform environment. Experience designing or evolving modular frontend boundaries, independently buildable surfaces, component systems, or migration-safe architectures. Experience making pragmatic trade-offs with product and design partners and turning complex requirements into clear user experiences. The ability to lead through technical judgment, collaboration, and clear written communication rather than formal authority. Experience mentoring engineers and improving team practices through code review, design review, documentation, or hands-on collaboration. The ability to work effectively in a remote, asynchronous organization by managing priorities, creating clarity, and communicating decisions in writing. Practical experience integrating artificial intelligence into a feature, workflow, or engineering process, or evaluating its reliability, security, privacy, and appropriate human oversight. Helpful, but not required: experience with Vue, React, Angular, TypeScript, or JavaScript; PostgreSQL, Redis, or object storage; representational state transfer or GraphQL; Kubernetes, Google Kubernetes Engine, Docker, or Google Cloud Platform; Prometheus or Sentry; and Git, GitLab Runner, or GitLab continuous integration and continuous delivery. About the team We own core repository capabilities, from Git command-line operations to web-based code exploration. Our roadmap includes feature and platform development, improvements to existing capabilities, maintainability, accessibility, performance, and workflows for teams using AI-assisted development tools. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: AU: Brisbane (243 Edward St) Workplace: Hybrid The role / impact As the SEM Senior Manager, you will play a critical role in shaping the future of Xero’s global Paid Search program. This is a highly technical, hands-on role focused on using automation, AI and data to unlock scalable growth and improve how our SEM operation works. You will help evolve the technical foundations of the channel, from AI-powered optimisation workflows and automation through to feeds, scripting and new ways of using emerging technology across search. You’ll work closely with SEM specialists, Data Science, Marketing Technology and Product teams to turn complex performance challenges into scalable solutions. Your impact will go beyond campaign optimisation. You’ll help define how Xero applies AI and automation to Paid Search, build systems that improve decision quality and speed, and act as a senior technical voice across the organisation, translating complex ideas into clear opportunities for senior stakeholders. The team / how they connect You will join Xero’s global SEM team, a specialist group spanning technical SEM, bidding and optimisation, creative and AI. The team manages Paid Search across Xero’s global markets and is focused on using data, experimentation and technology to continually improve performance and unlock new growth opportunities. You’ll work closely with the Head of SEM and our existing SEM team, while partnering across Data Science, Marketing Technology, Product, CRO and the wider Performance Marketing organisation. As a senior leader within the team, you’ll bring new ideas, share your expertise and help elevate the technical capability of those around you. Initially, you will focus on: - Evolving the technical foundations of our global SEM program, identifying opportunities to improve scalability, automation and performance - Building and operationalising AI-powered workflows that automate optimisation, analysis, reporting and operational processes - Advancing our AI-driven SEM capabilities, including automated bidding and decision-making systems, with robust validation, guardrails and measurement - Identifying and delivering new automation opportunities, turning manual or complex SEM processes into scalable, reusable solutions - Partnering with Data Science, Marketing Technology and Product to connect data, AI and emerging technology into our SEM ecosystem - Exploring emerging search and AI capabilities, testing where new technologies can create genuine commercial advantage Where and how you can work Xero offers a hybrid working model that balances flexibility with the value of working together in person. You’ll spend time in our office collaborating with the team, while also having the flexibility to work from home when it makes sense. As part of a global SEM and Performance Marketing team, you’ll also collaborate regularly with colleagues and partners across different markets and time zones. Here are some of the things we are looking for - Deep, hands-on SEM expertise, with experience managing large-scale, multi-market Paid Search programs and a strong understanding of Google Ads, SA360 and modern bidding and automation - Proven technical builder capability, with experience designing and deploying automation, workflows or other technical solutions that solve real performance marketing problems - Hands-on experience with AI and workflow orchestration tools, such as Tray.ai http://Tray.ai, AirOps, n8n, Make, Zapier, OpenAI, Claude or similar technologies - Strong analytical and problem-solving skills, with the ability to work through complex performance and technical challenges and turn data into clear actions - A proactive, solutions-first mindset, someone who naturally identifies opportunities, experiments and builds rather than waiting for a brief - Strong communication and stakeholder skills, with the ability to translate complex technical concepts into clear recommendations and influence senior stakeholders - A collaborative, low-ego approach, with a willingness to share knowledge, mentor others and elevate the technical capability of the wider team If you don’t tick every box, we’d still love to hear from you. We’re looking for deep SEM and technical capability, but we know great candidates can develop those skills through different experiences and career paths. At Xero, we value your skills, curiosity, passion and the unique perspective you can bring to our team.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid The role / impact As the SEM Senior Manager, you will play a critical role in shaping the future of Xero’s global Paid Search program. This is a highly technical, hands-on role focused on using automation, AI and data to unlock scalable growth and improve how our SEM operation works. You will help evolve the technical foundations of the channel, from AI-powered optimisation workflows and automation through to feeds, scripting and new ways of using emerging technology across search. You’ll work closely with SEM specialists, Data Science, Marketing Technology and Product teams to turn complex performance challenges into scalable solutions. Your impact will go beyond campaign optimisation. You’ll help define how Xero applies AI and automation to Paid Search, build systems that improve decision quality and speed, and act as a senior technical voice across the organisation, translating complex ideas into clear opportunities for senior stakeholders. The team / how they connect You will join Xero’s global SEM team, a specialist group spanning technical SEM, bidding and optimisation, creative and AI. The team manages Paid Search across Xero’s global markets and is focused on using data, experimentation and technology to continually improve performance and unlock new growth opportunities. You’ll work closely with the Head of SEM and our existing SEM team, while partnering across Data Science, Marketing Technology, Product, CRO and the wider Performance Marketing organisation. As a senior leader within the team, you’ll bring new ideas, share your expertise and help elevate the technical capability of those around you. Initially, you will focus on: - Evolving the technical foundations of our global SEM program, identifying opportunities to improve scalability, automation and performance - Building and operationalising AI-powered workflows that automate optimisation, analysis, reporting and operational processes - Advancing our AI-driven SEM capabilities, including automated bidding and decision-making systems, with robust validation, guardrails and measurement - Identifying and delivering new automation opportunities, turning manual or complex SEM processes into scalable, reusable solutions - Partnering with Data Science, Marketing Technology and Product to connect data, AI and emerging technology into our SEM ecosystem - Exploring emerging search and AI capabilities, testing where new technologies can create genuine commercial advantage Where and how you can work Xero offers a hybrid working model that balances flexibility with the value of working together in person. You’ll spend time in our office collaborating with the team, while also having the flexibility to work from home when it makes sense. As part of a global SEM and Performance Marketing team, you’ll also collaborate regularly with colleagues and partners across different markets and time zones. Here are some of the things we are looking for - Deep, hands-on SEM expertise, with experience managing large-scale, multi-market Paid Search programs and a strong understanding of Google Ads, SA360 and modern bidding and automation - Proven technical builder capability, with experience designing and deploying automation, workflows or other technical solutions that solve real performance marketing problems - Hands-on experience with AI and workflow orchestration tools, such as Tray.ai http://Tray.ai, AirOps, n8n, Make, Zapier, OpenAI, Claude or similar technologies - Strong analytical and problem-solving skills, with the ability to work through complex performance and technical challenges and turn data into clear actions - A proactive, solutions-first mindset, someone who naturally identifies opportunities, experiments and builds rather than waiting for a brief - Strong communication and stakeholder skills, with the ability to translate complex technical concepts into clear recommendations and influence senior stakeholders - A collaborative, low-ego approach, with a willingness to share knowledge, mentor others and elevate the technical capability of the wider team If you don’t tick every box, we’d still love to hear from you. We’re looking for deep SEM and technical capability, but we know great candidates can develop those skills through different experiences and career paths. At Xero, we value your skills, curiosity, passion and the unique perspective you can bring to our team.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role / impact As the SEM Senior Manager, you will play a critical role in shaping the future of Xero’s global Paid Search program. This is a highly technical, hands-on role focused on using automation, AI and data to unlock scalable growth and improve how our SEM operation works. You will help evolve the technical foundations of the channel, from AI-powered optimisation workflows and automation through to feeds, scripting and new ways of using emerging technology across search. You’ll work closely with SEM specialists, Data Science, Marketing Technology and Product teams to turn complex performance challenges into scalable solutions. Your impact will go beyond campaign optimisation. You’ll help define how Xero applies AI and automation to Paid Search, build systems that improve decision quality and speed, and act as a senior technical voice across the organisation, translating complex ideas into clear opportunities for senior stakeholders. The team / how they connect You will join Xero’s global SEM team, a specialist group spanning technical SEM, bidding and optimisation, creative and AI. The team manages Paid Search across Xero’s global markets and is focused on using data, experimentation and technology to continually improve performance and unlock new growth opportunities. You’ll work closely with the Head of SEM and our existing SEM team, while partnering across Data Science, Marketing Technology, Product, CRO and the wider Performance Marketing organisation. As a senior leader within the team, you’ll bring new ideas, share your expertise and help elevate the technical capability of those around you. Initially, you will focus on: - Evolving the technical foundations of our global SEM program, identifying opportunities to improve scalability, automation and performance - Building and operationalising AI-powered workflows that automate optimisation, analysis, reporting and operational processes - Advancing our AI-driven SEM capabilities, including automated bidding and decision-making systems, with robust validation, guardrails and measurement - Identifying and delivering new automation opportunities, turning manual or complex SEM processes into scalable, reusable solutions - Partnering with Data Science, Marketing Technology and Product to connect data, AI and emerging technology into our SEM ecosystem - Exploring emerging search and AI capabilities, testing where new technologies can create genuine commercial advantage Where and how you can work Xero offers a hybrid working model that balances flexibility with the value of working together in person. You’ll spend time in our office collaborating with the team, while also having the flexibility to work from home when it makes sense. As part of a global SEM and Performance Marketing team, you’ll also collaborate regularly with colleagues and partners across different markets and time zones. Here are some of the things we are looking for - Deep, hands-on SEM expertise, with experience managing large-scale, multi-market Paid Search programs and a strong understanding of Google Ads, SA360 and modern bidding and automation - Proven technical builder capability, with experience designing and deploying automation, workflows or other technical solutions that solve real performance marketing problems - Hands-on experience with AI and workflow orchestration tools, such as Tray.ai http://Tray.ai, AirOps, n8n, Make, Zapier, OpenAI, Claude or similar technologies - Strong analytical and problem-solving skills, with the ability to work through complex performance and technical challenges and turn data into clear actions - A proactive, solutions-first mindset, someone who naturally identifies opportunities, experiments and builds rather than waiting for a brief - Strong communication and stakeholder skills, with the ability to translate complex technical concepts into clear recommendations and influence senior stakeholders - A collaborative, low-ego approach, with a willingness to share knowledge, mentor others and elevate the technical capability of the wider team If you don’t tick every box, we’d still love to hear from you. We’re looking for deep SEM and technical capability, but we know great candidates can develop those skills through different experiences and career paths. At Xero, we value your skills, curiosity, passion and the unique perspective you can bring to our team.

Международное модельное агентство NEXT TOP MODELS ищет специалиста по таргетированной рекламе в Telegram. О нас: * Основаны в 2019 году. * Представительства в России, Барселоне и Бразилии. * Работаем с крупными проектами в Москве и ведущими мировыми агентствами. * Опыт работы с Telegram Ads. * Ориентация на результат (лиды). * Готовность работать с бюджетом от 50 000 рублей. * Зарплата обсуждается индивидуально.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world. THE ROLE & TEAM Product Data Science & Engineering is a portfolio team within Product & Technology. Partnering across Product, Engineering, Design, Marketing, and Commercial leadership, we set Xero’s data science strategy across broad product areas and operate in an AI-native way—using AI to transform how we work, not just what we ship. The team co-own Xero's metrics stack, experimentation strategy, and enterprise data architecture and builds AI-powered customer experiences including the Jax chatbot and agentic workflows—in partnership with Anthropic, OpenAI, and Google. They also lead AI measurement and productionisation. We work in an AI-native way. That means AI changes how data science itself gets done here, not just what we ship. This is a new strategic leadership role created to scale Xero's data science and AI capabilities. You will take full ownership of the data science, analytics, ML, and AI strategy and execution across Accounting & Bookkeeping, Small Business, and AI products. This role combines strategic product vision (including Jax, agentic workflows, and AI-powered features) with platform thinking across the metrics stack, experimentation, data quality, and governance, driving enterprise-level impact across every product team. WHAT YOU’LL DO - You will translate company-level objectives into strategic sub-objectives across analytics, ML, AI products, and experimentation, elevating both the quality of decisions and the leverage Xero gains from its data and AI investments. - Lead, mentor, and grow a team of data scientists, analytics engineers, ML engineers, and managers, scaling the function from ~12 to ~30. - Design team structures and operating models that preserve high throughput across multiple locations and time zones. - Operate as an AI-native leader, driving how AI changes how data science operates and ships value across Xero. - Act as the primary data partner to Product & Technology, advising C-suite and SLT on data utilization, retention strategy, new data domains, and AI investment decisions. - Represent data science in executive forums and partner with Product, Engineering, Design, Marketing, Commercial, Legal, Privacy and Risk on strategy, prioritisation and governance. - Own AI governance, model risk, data quality, privacy posture, and experimentation integrity across the portfolio, ensuring company-wide compliance and integrity. - Drive behavioral, technical, and cultural standards across the vertical. Own and improve global hiring practices, build talent maps, and coach senior leaders and individual contributors to raise the bar across Xero. - Proactively identify delivery and strategic risks, designing robust organizational processes that yield consistent, high-quality outcomes for Xero. WHAT YOU’LL BRING WITH YOU We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required. What matters most is that you have operated, shipped, and led at scale within a fast-paced technology environment. As a self-starter and executive partner, you will shape and lead strategic agendas alongside C-suite and senior leadership, driving throughput across multi-location, global teams. You excel at bringing structure to complex cross-functional challenges, managing ambiguity, and maintaining a strong "Xero-first" mindset focused on delivering strategic value and accountable execution. - Ability to act as a proactive self-starter and executive partner, shaping strategic agendas with C-suite and SLT, presenting to board-level leadership, and influencing key investment decisions. - Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard. - Skilled in leading managers, coaching leaders into senior roles, developing high-performing teams, and constructively escalating strategic risks when necessary. - Experienced in navigating teams through significant scale-ups, operating model transformations, and continuous evolution in fast-paced environments. - Practical experience leveraging frontier-model platforms (e.g., Anthropic, OpenAI, Google) to build agentic workflows, chatbots, and AI-powered products, as well as transforming team operating models using AI workflows. - Substantial experience leading data science, ML, or analytics functions, with a proven track record of managing other people leaders across multi-team structures. - Extensive experience building and running enterprise-scale data science functions, AI/ML productionisation, AI governance, model risk frameworks, and experimentation integrity. - Deep technical fluency across applied ML, analytics engineering, instrumentation, eventing, and schema governance, with a strong engineering mindset focused on building scalable platforms and reusable architectures. - Prior exposure to SaaS or small business segments, with a track record of driving scale, data quality, and privacy compliance. - Technical bachelor's or master's degree (PhDs welcome for applied, high-impact organizational challenges), supported by public thought leadership or open-source contributions in data or AI. WHERE AND HOW YOU CAN WORK This role is based in Sydney or Melbourne with a flexible hybrid working setup, spending 1 to 2 days per week in the local office to connect and collaborate. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity OKX Data Team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.  As a Product Manager of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. What You’ll Be Doing Deeply understand business goals and pain points : Work closely with business teams to understand their day-to-day data needs, identify core metric frameworks and key insight opportunities, and proactively propose data-driven solutions. End-to-end data solution design : Translate business requirements into data requirements, owning the full lifecycle from event tracking design, data modeling, and metric definition to dashboard design, launch, and acceptance. Build and standardize business metric systems : Lead the definition of core metrics, unify calculation logic, and design and implement dashboards to ensure standardized analysis and end-to-end business traceability. Drive data product adoption : Partner with business teams to promote data tools within departments and establish standard operating procedures (SOPs). Data governance and quality assurance : Continuously monitor the stability of event tracking and metrics, ensure data consistency, and help drive standardized data governance processes. What We Look For In You 7+ years of experience in data product management or related roles; experience at leading internet/technology companies is a plus. Strong familiarity with data ecosystems , including event tracking systems, A/B testing frameworks, metric systems, and BI data pipelines, with hands-on design or management experience. Ability to quickly understand complex business logic and break down ambiguous requirements into actionable, executable solutions. Excellent cross-functional communication and execution skills , with strong ownership and project leadership mindset. English and Mandarin Chinese proficiency sufficient for use as a working language as the role involves liaising with various stakeholders in chinese-speaking markets. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. What you will be doing - Provide operational advisory on high-risk clients whether at onboarding, periodic reviews or on trigger event and deliver justified opinions and recommendations - Investigate alerts reported to Compliance, draft STRs and ensure most risky clients are being monitored accordingly - Proactively handle or participate with the development and update of the local compliance Framework (Policies, Procedures and Operating Memos) - Provide quick and precise advisory to internal team inquiries on procedural applications - Contribute to updating AML-CTF risk classification and assessing new products/activities - Contribute to external reports due to regulators and internal reports to Senior Management - Draft training material/presentations and run training sessions - Perform regulatory watch and gap analysis between applicable regulations/sanctions and current framework and propose enhancements - Handle or participate as Specialist Matter Expert (SME) in various ad hoc Group and APAC Compliance projects About you - Minimum 5 years of experience in a Compliance function in the banking or payments space - Prior experience in Compliance Advisory is ideal, otherwise, a combination of 2LoD operations experience with exposure to investigations and audit handling is preferred - Robust knowledge on Financial Security topics (KYC, AML/CFT, Sanctions, etc.) and other Compliance topics (Payments Services Act, Scheme Rules, etc) - Previous project management experience on Compliance framework setups - Demonstrate clear sense of accountability in performing the role and a positive approach (can-do attitude and solution oriented) - Ability to identify inefficiencies, see the bigger picture, challenge current status quo and define scalable and sustainable processes - Well organized self-starter, able to prioritize quickly and meet deadlines even under pressure - Strong stakeholder management and communication skills - Team player with strong collaborative qualities - Willingness to learn continuously and keep up to date with Payment industry and Regulations (local and international) - Strong spoken and written English Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024