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Location: Tokyo, Japan; Barcelona, Spain; 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 Thai 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 Thai 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 Thai, 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 Thai 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: Tokyo, Japan; Barcelona, Spain; 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 Tagalog 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 Tagalog 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 Tagalog, 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 Tagalog 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: Tokyo, Japan; Barcelona, Spain; 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 Swahili 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 Swahili 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 Swahili, 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 Swahili 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: Tokyo, Japan; Barcelona, Spain; 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 Vietnamese 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 Vietnamese 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 Vietnamese, 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 Vietnamese 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: Tokyo, Japan; Barcelona, Spain; 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 Korean 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 Korean, 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 Korean 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: Tokyo, Japan; Barcelona, Spain; 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 Japanese 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 Japanese, 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 Japanese 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 (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.