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Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Sharjah, United Arab Emirates; Riyadh, Saudi Arabia; New Delhi, India; Ras Al-Khaimah, United Arab Emirates Our client, a successful restaurant group in Dubai, is looking for a skilled Commis II – Butcher to support the preparation, portioning, and handling of meat and poultry products while maintaining the highest standards of quality, hygiene, and food safety. The ideal candidate should have solid butchery experience, good knife skills, and the ability to work efficiently in a fast-paced kitchen environment. As a valued member of the kitchen team, the Commis II – Butcher will work closely with the Executive Chef , Sous Chef , and Chef de Partie to ensure the timely preparation and availability of meat products while maintaining kitchen efficiency and compliance with food safety standards. Primary Responsibilities Assist in the preparation, trimming, cutting, deboning, and portioning of meat and poultry according to company standards. Inspect meat deliveries to ensure quality, freshness, and compliance with specifications. Prepare meat products following recipes, portion control, and presentation standards. Ensure proper handling, storage, labeling, and rotation of meat products. Maintain cleanliness, organization, and sanitation of the butcher section and workstations. Operate butcher equipment and tools safely and efficiently. Monitor stock levels and assist with inventory control and proper storage. Follow all food safety, hygiene, and HACCP standards. Assist in training and guiding junior kitchen staff when required. Perform other duties assigned by the Executive Chef, Sous Chef, or Chef de Partie. Requirements 2–3 years of experience as a Commis Chef or Butcher , with at least 1 year of experience in a professional butcher section. Experience in a high-volume restaurant, hotel, or catering operation is an advantage. Culinary diploma or equivalent professional training. Good knowledge of meat cuts, portioning, trimming, deboning, and proper storage techniques. Ability to read, write, and communicate in English. Strong knife skills and attention to detail. Ability to work efficiently under pressure in a fast-paced environment. Good organizational and time-management skills. Team player with a positive attitude and willingness to learn. Able to work indoors in chilled and refrigerated environments. Able to stand and walk for extended periods during shifts. Physically capable of lifting meat products and operating butcher equipment safely. Willing to work flexible shifts, including weekends and public holidays, on a rotational basis. Benefits As per the company package

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Malé, Maldives; Doha, Qatar; Ras Al-Khaimah, United Arab Emirates; New Delhi, India Our client, a successful restaurant group in Dubai, is looking for a skilled Commis II – Bakery & Pastry to support the preparation and production of a wide variety of baked goods, pastries, and desserts while maintaining the highest culinary standards. The ideal candidate should have solid bakery and pastry experience, strong technical skills, and the ability to work efficiently in a fast-paced kitchen environment. As a valued member of the pastry team, the Commis II will work closely with the Head Pastry Chef , Sous Chef , and Chef de Partie to achieve daily production goals, maintain kitchen efficiency, and ensure compliance with food safety and hygiene standards. Primary Responsibilities Assist in the preparation and production of bakery and pastry items according to recipes and quality standards. Prepare ingredients, doughs, batters, fillings, creams, and other pastry components. Bake, decorate, and present pastries, breads, cakes, and desserts as instructed. Ensure consistency in product quality, taste, and presentation. Maintain cleanliness, organization, and sanitation of the pastry kitchen and workstations. Operate bakery and pastry equipment safely and efficiently. Monitor baking times, temperatures, and product quality throughout production. Support inventory control by assisting with stock rotation and proper storage of ingredients. Follow all food safety, hygiene, and HACCP standards. Assist in training and guiding junior kitchen staff when required. Perform other duties assigned by the Head Pastry Chef, Sous Chef, or Chef de Partie. Requirements Requirements 2–3 years of experience as a Commis Chef , with at least 1 year of experience in a bakery and pastry kitchen. Experience in a high-volume restaurant, hotel, or bakery is an advantage. Culinary diploma with a specialization in Baking & Pastry Arts or equivalent professional training. Ability to read, write, and communicate in English. Good knowledge of bakery and pastry production techniques. Strong attention to detail and consistency in product presentation. Ability to work efficiently under pressure in a fast-paced environment. Good organizational and time-management skills. Team player with a positive attitude and willingness to learn. Able to work indoors in environments exposed to heat from ovens and cooking equipment. Able to stand and walk for extended periods during shifts. Physically capable of lifting bakery ingredients and supplies when required. Willing to work flexible shifts, including weekends and public holidays, on a rotational basis. Benefits As per the market standards

Location: Remote, Canada; Remote, US 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. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United States and Canada only. Candidates based in the United Kingdom can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — UK (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $314,400 USD 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: San Francisco, CA | New York City, NY | Washington, DC 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 an Enforcement Analyst focused on Bio Harms, you will play a critical role in protecting against the misuse of AI systems for biological and related CBRNE harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating bio risks, investigating potential violations, and help continuously strengthen our safeguards.  The work sits at the intersection of biosecurity threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of biology and enabling technologies well enough to separate the benign from the malicious. You will own and continuously improve the enforcement monitoring workflows for the bio-harms area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities Enforce Usage Policies with a specific focus on detecting and mitigating potential bio risks and harmful use of AI systems. Take ownership of enforcement monitoring workflows for the bio-harms area, improving end-to-end detection, investigation, triage, and escalation processes. Monitor and analyze platform activity to identify emerging patterns related to biological (and adjacent chemical, radiological, nuclear, and explosive) threats that may require policy updates or enforcement action. Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. Proactively surface trends and propose improvements to detection methods and review workflows. Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for bio-related policy violations. Partner with Policy and Threat Intelligence groups to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to potential bio-related Usage Policy violations. Minimum qualifications Hold a degree in a bio-related field (e.g., microbiology, molecular biology, biochemistry, public health) and/or relevant professional experience in a related field. Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows. Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts. Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure. Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative. Communicate clearly in writing and can translate technical bio concepts for diverse audiences, including both technical and non-technical stakeholders. Preferred qualifications Subject matter expertise in biodefense, biosecurity, WMD/CBRNE non-proliferation, or threat-intelligence. An understanding of where real-world biological risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction. Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health. Familiarity with dual-use research of concern (DURC), select agents, and relevant policy frameworks. 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: $245,000 — $285,000 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 | Washington, DC 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 an Enforcement Analyst focused on Chem & Explosives Harms, you will play a critical role in protecting against the misuse of AI systems for chemical and explosives harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating these risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of chemical and explosives threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of chemistry and explosives technologies well enough to separate the benign from the malicious — and who acts decisively under ambiguity. You will own and continuously improve the enforcement monitoring workflows for this harm area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering matrix partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems from AI-facilitated weapons harm. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities Enforce Usage Policies with a specific focus on detecting and mitigating potential chemical and explosives risks and harmful use of AI systems. Take ownership of enforcement monitoring workflows for the chemical and explosives harm area, improving end-to-end detection, investigation, triage, and escalation processes. Monitor and analyze platform activity to identify emerging patterns related to chemical and explosives threats (within the broader CBRNE landscape) that may require policy updates or enforcement action. Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. Proactively surface trends and propose improvements to detection methods and review workflows without waiting to be directed. Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for policy violations. Partner with Policy and Threat Intelligence teams to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to chemical and explosives policy violations. Minimum qualifications Hold a degree in a chemistry-related field (e.g., chemistry, chemical engineering, materials science) and/or relevant professional experience in a related field. Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows. Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts. Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure. Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative. Communicate clearly in writing and can translate technical chemistry concepts for diverse audiences, including both technical and non-technical stakeholders. Preferred qualifications Subject matter expertise in chemical and explosives defense, security, WMD/CBRNE non-proliferation, or threat-intelligence. An understanding of where real-world chemical and explosives risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction. Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health. Familiarity with the Chemical Weapons Convention (CWC), scheduled chemicals, precursor controls, and energetic-materials safety frameworks. 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: $245,000 — $285,000 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: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Mechatronics Remote Support Engineer to be the troubleshooting core of our Remote Services team — the people who keep our humanoid robots running in the field. When a robot has a problem, you diagnose it remotely, resolve what can be resolved without a site visit, and — when hands are needed on the robot — produce a precise physical-intervention recommendation for the field or Repair Centre teams to execute. This is a hands-on, customer-facing technical role. You will work remote-first, diagnosing as deep into the robot as the tools allow, and you will occasionally travel as a “flying doctor” when local resources cannot resolve an issue themselves. WHAT YOU’LL DO: - Diagnose robot faults remotely using telemetry and our Digital Shadow diagnostics (remote diagnostics, 3D BOM explosion, and fleet-pattern detection). - Resolve issues remotely wherever possible, driving each case to the deepest root cause you can before escalating. - Produce complete physical-intervention recommendations — what to do, why, how, the skill level, spare parts, expected time, and any special tooling. - Occasionally, act as a flying doctor on-site when local resources cannot fix the issue themselves. - Prioritise cases against SLAs and keep customers informed with clear, transparent updates. - Document diagnoses and resolutions so the team’s collective knowledge grows while the digital tools mature. - Escalate through the single point of entry to Engineering when a case genuinely needs R&D. WE’RE LOOKING FOR: - Hands-on knowledge of robot hardware: 2D/3D LiDAR, RGB cameras, motors, and actuators. - Software troubleshooting on robots: ROS2, Bash, Ubuntu/Linux, and bootloader/firmware. - Strong remote-diagnosis instincts — you localise faults precisely before recommending any physical work. - Clear technical communication with customers and field teams, especially under SLA pressure. - A methodical, case-to-the-end mindset with disciplined documentation. - Willingness to travel occasionally for on-site interventions. NICE TO HAVE: - Experience with Time-of-Flight (ToF) sensors and IMUs. - Python and Git for building small diagnostic utilities. - Prior customer-facing field-service or technical-support experience. - Familiarity with SLA-driven support operations and lean, one-piece-flow ways of working. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an Accounting (R2R) Manager on the Accounting team, you will play a critical role in supporting Mistral’s rapid international expansion. This position is designed to own and execute the end-to-end close process, ensuring accurate, timely, and scalable financial reporting across all entities. You will lead the Record-to-Report function, maintaining the integrity of the General Ledger and balance sheet while managing a team of GL accountants. Your work will directly impact the company’s ability to scale its financial operations globally. WHAT YOU WILL DO - Own and run the monthly, quarterly, and annual close processes. - Build and maintain a detailed close calendar and checklist, tracking progress daily to meet all deadlines. - Proactively identify risks and escalate issues early to avoid delays. - Manage and coordinate the R2R team, allocating responsibilities and ensuring coordinated delivery. - Oversee journal entries, trial balance accuracy, and monthly reconciliations for all balance sheet accounts. - Investigate and resolve unusual or aged items to maintain data integrity. - Manage intercompany accounting and reconciliation across entities, resolving mismatches proactively. - Prepare data for group consolidation and support audit and statutory reporting. - Contribute to process improvements, automation, and standardization initiatives. WHAT WE'RE LOOKING FOR - CPA or equivalent professional designation with at least 8 years of accounting experience, including 2+ years at a Big 4 firm. - Solid knowledge of IFRS. - Strong experience in General Ledger and close processes, particularly in multi-entity or international environments. - Advanced proficiency in SAP S4/HANA is a plus. - Strong organizational and time management skills to manage deadlines and priorities under pressure. - Fluent in English; French is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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 Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function. You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable. This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority. We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job. Key responsibilities Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap Minimum qualifications Hands-on application and infrastructure security experience, including cloud and containerized environments Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems Comfort operating with high autonomy, ambiguity, and tightly-held confidential context Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company Preferred qualifications 7+ years in application security, security consulting, or security architecture Prior M&A security due diligence, third-party security assessment, or technical due diligence experience Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases Track record of building security automation or tooling rather than relying solely on manual review Familiarity with using LLMs as a core part of your security workflow Experience securing agentic, code-execution, or LLM-integrated systems Representative projects Point Anthropic's internal LLM-driven code analysis and AI-assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks Design the risk-scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto-patching, and bounty scope without a human running a checklist Write the security risk memo for a live deal and present it to corporate development and security leadership 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: Americas Remote Hi, I'm Manu, Engineering Manager at Customer.io . We're looking for experienced backend engineers who want to build and own the infrastructure that powers one of the most data-intensive platforms in marketing automation — systems that process millions of events per second, orchestrate complex workflows at scale, and keep everything running reliably for thousands of customers worldwide. You'll work on the Platform team, tackling hard distributed systems problems: designing for fault tolerance, scaling services under real production pressure, and building the foundational layers that every other team at Customer.io depends on. This isn't just maintenance work — you'll shape the architecture of systems that need to be both highly available and constantly evolving. If you're someone who gets energized by the intersection of scale, reliability, and developer experience — and wants ownership over infrastructure that truly matters — we'd love to talk. What you'll bring: Deep experience with distributed systems and large-scale backend architecture Strong instincts around reliability, observability, and fault tolerance Comfort reasoning about performance, capacity, and trade-offs at scale Experience with event-driven systems, message queues, or data pipelines is a plus A collaborative mindset — you raise the team around you About Customer.io Over 9,000 companies - from scrappy startups to global brands - use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence. What We Value Ownership You drive technical direction across systems and teams. You move with urgency, build with empathy, and think long-term. You’ve led large-scale infrastructure initiatives and know what it takes to get them over the line. Engineers with customer focus You think about how infrastructure unlocks customer value. You care about developer experience, system design, and how your work shapes the customer experience. A healthy disregard for “the way things are done” You bring rigor and creativity. Best practices matter, but never more than forward motion. What You’ll Do Design and evolve distributed systems in Go to handle billions of daily events and messages and store and index petabytes of data Lead architectural decisions around performance, reliability, and real-time event processing Improve service-to-service communication through better APIs, messaging systems, and event-driven patterns Work across teams to uncover bottlenecks and system issues, and lead initiatives to resolve them for a smoother customer experience Tackle high-throughput challenges across data pipelines, queues, and scheduling infrastructure Able to debug production systems at scale using effective instrumentation, and resolve issues quickly and confidently Participate in an on-call rotation as required, supporting the reliability of the systems you build Share knowledge and raise the bar through sharing your progress publicly with short videos, thoughtful writing, and mentorship Leverage AI tools to prototype, move faster, and make better decisions What we're looking for Significant experience (typically 10+ years) building scalable, distributed systems in Go (or similar statically typed languages) Deep experience with databases - relational (MySQL, Postgres) and non-relational (DynamoDB, BigTable) - and how to make them fast Comfort working in cloud-native environments (AWS, GCP) Familiarity with APIs, observability, and operating production systems A bias for action over perfection, and pride in owning technical decisions Compensation & Benefits We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) - Let’s chat about what you’re looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise. System Design Interview (60 mins) - A collaborative system design conversation focused on scaling challenges. Coding Interview (60 mins) - Pair with one of our engineers for an agentic live coding interview. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read and want to build software that makes communication better for everyone—apply now.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London. As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. WHAT YOU'LL DO - Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. - Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. - Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. - Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. - Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. - Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. - Establish and uphold best practices for data management - versioning, access control, security, and compliance. WHAT WE'RE LOOKING FOR - 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. - Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. - Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. - Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. - Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. - Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. - Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. - Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. - Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have - ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. - Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. - Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. - BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. - Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. - Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Ukraine; Latvia; Croatia; Czech Republic; Slovenia; Romania; Bulgaria; Kazakhstan; Poland; Hungary; Estonia; Cyprus; Lithuania; Greece; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Performance Marketing Lead (Google & Microsoft Ads), to lead and scale our advertising across the Ruby Labs portfolio. This is a senior player-coach role. You will own Google Ads and Microsoft Ads execution across multiple brands, coach and develop acquisition managers, set account standards, improve performance, and protect account health across a large multi-brand setup. You will be responsible for scaling spend profitably across Search, Performance Max, Demand Gen, YouTube, and Microsoft Ads. You will conduct regular account audits, identify missed opportunities, and make sure every brand is using Google and Bing to their full potential. This is not a reporting-only leadership role. You need to stay close to the accounts, understand the details, and be able to challenge strategy, structure, bidding, compliance, measurement, and execution yourself. We also work AI-first. You will own the Google and Bing acquisition knowledge base inside Claude, including playbooks, audit frameworks, prompts, automations, QA checklists, and repeatable workflows that help the team operate faster and better. KEY RESPONSIBILITIES - Portfolio Performance - Scale profitable spend across multiple brands, geos, languages, and funnels. - Manage CPA, ROAS, CAC, and payback against real revenue data, not surface-level platform metrics. - Conduct regular account audits across all brands to identify gaps, missed opportunities, inefficient structures, underused campaign types, weak signals, and scaling potential. - Make sure every brand is fully utilizing Google and Microsoft Ads opportunities across Search, Performance Max, Demand Gen, YouTube, and Microsoft Ads. - Work with Managing Directors and UA Managers to translate brand targets into practical Google and Bing execution. - Own channel-level recommendations for budget allocation, account structure, bidding approach, testing priorities, and scale-up opportunities. - Partner with Google and Microsoft teams on betas, new campaign types, product changes, escalation paths, and platform-level opportunities. Team Leadership - Coach, teach, and develop acquisition managers working on Google and Microsoft Ads. - Hire, onboard, manage, and, where necessary, make replacement decisions for Google and Bing acquisition talent. - Own performance evaluation, goals, KPIs, feedback cycles, and personal development plans for the Google and Bing team. - Set the performance bar and craft standards for the team. - Review account work, train UA managers, and raise the overall quality of execution. - Make sure every brand has clear ownership, weekly reporting, and strong channel support. - Stay hands-on enough to audit accounts, challenge decisions, and guide execution from real account data. Account Architecture & Governance - Define standards for account structure, naming, conversion architecture, bidding, testing, reporting, documentation, and QA. - Review major account changes before launch and make sure changes are hypothesis-driven, measured, and documented. - Run monthly account audits across all Google and Microsoft Ads accounts. - Maintain clean documentation so account knowledge, automations, tests, and learnings are not dependent on one person. - Build repeatable standards that UA managers can follow across brands without losing brand-specific context. Policy & Compliance - Own Google and Microsoft Ads policy and compliance across all Ruby Labs brands. - Protect account health across all brands. - Own policy workflows for ad review, disapprovals, appeals, account restrictions, and escalation. - Work closely with brand teams on ad-to-landing-page consistency, claims, pricing, funnel compliance, and policy-sensitive testing. - Build prevention-first processes so policy issues are caught before launch. - Maintain direct escalation paths with Google and Microsoft representatives. - Have the authority to block launches that create material account or policy risk. AI-First Operating System - Own the Google and Bing acquisition knowledge base inside Claude, including playbooks, SOPs, audit frameworks, campaign QA checklists, prompts, and reusable workflows. - Design AI-assisted workflows for keyword research, campaign builds, audits, QA, reporting, opportunity discovery, and optimization review. - Train UA managers to use Claude workflows correctly and consistently in their daily Google and Bing work. - Evaluate workflow quality, improve the knowledge base over time, and turn successful processes into repeatable team standards. - Use AI to increase team speed and quality while keeping human judgment, compliance, and account safety at the center. QUALIFICATIONS - 7+ years of hands-on paid search experience. - Experience coaching, leading, hiring, and evaluating Google Ads specialists, UA managers, or paid search teams. - Direct ownership of large Google Ads budgets, ideally $5M+ per month hands-on and $10M+ per month at portfolio level. - Strong Search, Performance Max, Demand Gen, and YouTube experience. - Microsoft Ads experience, including Microsoft Audience Network. - Proven record scaling accounts profitably across multiple countries and languages. - Strong understanding of subscription economics: LTV, CAC, ROAS, payback windows, cohorts, and value-based bidding. - Deep Google Ads policy experience, including disapprovals, appeals, account restrictions, and compliance-heavy environments. - Strong account architecture, audit, documentation, and measurement discipline. - Ability to identify scaling opportunities and practical account improvements from account-level data. - Clear, direct communication with both acquisition managers and senior stakeholders. Strong Advantage - Experience managing enterprise-level search accounts or large multi-brand paid search portfolios. - Experience with Google Ads scripts, Google Ads API, SQL, or internal automation tools. - Experience building Claude, AI, or agentic workflows for marketing operations. - Experience building team knowledge bases, SOPs, QA systems, and training programs for paid acquisition teams. - D2C subscription, lead-gen, or consumer web funnel experience. - Experience with high-scrutiny categories, trademark-sensitive ads, or complex policy environments. - Experience working directly with Google or Microsoft teams on betas, product pilots, and escalation paths. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: Financial Incentives (FIN) is where Garner's promise becomes real for a member: the moment they are paid back for choosing better care. Behind that simple experience sits one of the hardest problems in the company. FIN ingests claims and eligibility feeds from third-party administrators, adjudicates them against benefit rules, accumulates member benefit, and moves real funds through payments and treasury. It does this under heavy and growing load, carrying PHI and PII, at the point where high-volume data from outside partners first enters Garner. When FIN is right, members are paid accurately and on time. When it is wrong, the failure is financial and visible. We are hiring a Director to lead FIN Engineering, accountable for the full function (ingestion, eligibility, adjudication, accumulation, and payments/treasury): its correctness, reliability, security, and the pace at which it improves. You will lead a large, multi-team function, own its multi-year roadmap, and contribute to company-wide planning. The role is hands-on-keys: you will stay close to the code, the designs, and the incidents to hold a real technical opinion, and set an engineering quality bar the rest of the department measures itself against. You will report to the CTO and lead a group of Engineering Managers and senior individual contributors across FIN's value streams. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the outcomes, ingestion through payment. Define what "correct" means for adjudication and money movement, and be accountable for adjudication accuracy, payment timeliness, ledger reconciliation, ingestion SLAs, and the roadmap that moves them. Set the bar and the pace. Establish the validation standards and definition of "done" the function ships against and hold the line under delivery pressure, running a performance culture on evidence: highest-value work first, manual toil automated away, engineers accountable for outcomes. Stay close to the work. Join the hard design reviews, read the code, dig into incidents, and hold defensible technical positions on adjudication logic, event contracts, data modeling, and money movement. Make agent-first the default. Make AI-native engineering how FIN works, not a side experiment: build the harnesses, validation frameworks, and Claude Skills that let squads ship faster and safer, and mature the org from assisted toward autonomous with real guardrails. Own the technical direction. Guide the backend toward event-contract boundaries that let teams ship independently and scale to tens of millions of claims, with the fault tolerance a pipeline that cannot drop or double-pay a claim demands, and own the security and data-integrity posture at the edge where partner data enters and funds leave: validate, quarantine, and reconcile rather than assume the inputs are clean. Build and grow the team. Hire, level, and develop Engineering Managers and senior ICs, own interviewer calibration, and design the org's structure and decision rights so ownership is clear. Translate across the business. Partner with the CTO, Product, Finance, Operations, and payment partners to turn business needs into technical plans and communicate risk and tradeoffs in terms leaders can act on. The ideal candidate has: 10+ years building and operating high-scale, high-reliability backend systems, ideally ones that process large data volumes and/or move money. 5+ years leading engineering teams, including managing managers, in a high-accountability, high-urgency environment. Technical credibility at scale: you can reason through a design doc, a schema, or an incident timeline and write the validation criteria that catch failure. An opinionated point of view on agent-first / AI-native engineering: not just that teams should use AI, but how to make it the default operating model and mature it safely from assisted toward autonomous. Experience with the demands of sensitive data (regulated PHI/PII/financial data, unvalidated third-party inputs, encryption, access, audit) and an instinct for reconciliation-first design. Fluency in distributed systems and modern cloud: event-driven architecture, idempotency, fault tolerance, backpressure, and data consistency under load, plus AWS and API design. An ownership mindset: you move problems to resolution without being asked and optimize relentlessly for member and business impact. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $395,000 - $414,000 inclusive of bonus. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Worldwide Workplace: hybrid The Group Coordinator onboard the cruise ship Aroya will oversee and manage group bookings and events, ensuring seamless coordination and communication between the ship’s departments and the group host. The Group Coordinator will also handle special requests, organize group events, and provide personalized assistance to ensure an exceptional experience for the group.   Responsibilities   Coordinate all aspects of group bookings, including reservations and onboard activities. Serve as the primary point of contact for group leaders, assisting with any inquiries or special requests. Organize and oversee group events, ensuring all logistical details are executed flawlessly. Collaborate with other ship departments (e.g., Food & Beverage, Housekeeping, Entertainment) to meet group needs. Handle any last-minute changes or challenges, providing effective and prompt solutions. Assist with the distribution of welcome packages, event schedules, and promotional materials to group members. Maintain accurate records of group activities, requests, and special requirements. Ensure compliance with all guest service standards and protocols. Act as a liaison between the group clients and shipboard teams to ensure smooth communication and coordination. Provide exceptional customer service to enhance group members’ overall experience. Assist with pre-cruise planning by communicating with group leaders regarding onboard expectations and requirements. Monitor and update group accounts and reservations, ensuring accuracy and up-to-date information. Facilitate pre-arrival preparations such as cabin assignments and special requests for group guests. Manage VIP group requests, providing enhanced services to high-profile group guests. Collect and address feedback from group leaders and members to continually improve service delivery.   Requirements: Previous experience in group coordination, event planning, or a similar role, preferably in a cruise ship. Strong organizational skills and attention to detail. Excellent communication and interpersonal skills. Ability to multitask and handle dynamic, fast-paced environments. Proficiency in computer systems, including reservation software. Problem-solving abilities and the ability to work under pressure. Fluency in English and Arabic; additional languages are a plus.   Documentation Requirements:   Valid passport and visas as required. STCW certification or willingness to obtain. Valid Medical certificates  For Pooling purposes Contract length: 4 months on/ 2 off

Location: Warsaw, Poland Workplace: fully About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position We are seeking a meticulous and self-driven Senior Admissions Solutions Coordinator to take full ownership of the end-to-end admissions process for our UK and US partner universities. Working remotely from Poland, you will manage a live caseload, ensuring every application is processed accurately and efficiently while consistently meeting established KPIs. This role requires complete accountability for each student file from application through to enrolment. Key Result Areas · Manage a live portfolio of student applications, ensuring every case remains accurate, complete, and progresses efficiently through each stage of the admissions cycle. · Review, verify, and process application documentation in accordance with the admission requirements and quality standards of UK and US partner universities. · Take full ownership of individual performance metrics by meeting application deadlines, proactively identifying risks, and ensuring timely resolution of outstanding issues. · Act as the primary point of contact for students, partner universities, and internal teams, ensuring clear communication and seamless coordination throughout the admissions process. · Maintain the highest standards of accuracy and compliance by ensuring all applications meet institutional requirements before submission. · Monitor personal performance, analyse workflow efficiency, and implement process improvements to enhance productivity, accuracy, and student experience. Requirements Essential Criteria · Bachelor's degree or equivalent qualification. · Minimum of 2 years' experience in admissions management, student enrollment, or a similar administrative role within higher education or university admissions. · Proven experience managing high-volume application processing, documentation, and casework with exceptional accuracy and attention to detail. · Demonstrated ability to work independently in a remote environment, effectively managing priorities and delivering results with minimal supervision. · Self-motivated, disciplined, and capable of working independently in a remote, KPI-driven environment. · Excellent written and verbal communication skills, with the ability to manage multiple stakeholders professionally. Desirable Criteria · Excellent organisational and time management skills, with a strong eye for detail. · Strong analytical and problem-solving abilities, with a continuous improvement mindset. · Proficiency in using CRM systems, admissions platforms, and Microsoft Office applications. · Highly accountable, taking full ownership of work and outcomes. · Calm, resilient, and able to perform effectively under pressure while managing competing deadlines. · Committed to delivering a high standard of service, accuracy, and compliance throughout the admissions process. Location The position is home-based with travel if required. Other Information Please note this position is only available on our consultancy agreement. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.

Location: Warsaw, Poland Workplace: fully About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position We are seeking a meticulous and self-driven Senior Admissions Solutions Coordinator to take full ownership of the end-to-end admissions process for our UK and US partner universities. Working remotely from Poland, you will manage a live caseload, ensuring every application is processed accurately and efficiently while consistently meeting established KPIs. This role requires complete accountability for each student file from application through to enrolment. Key Result Areas · Manage a live portfolio of student applications, ensuring every case remains accurate, complete, and progresses efficiently through each stage of the admissions cycle. · Review, verify, and process application documentation in accordance with the admission requirements and quality standards of UK and US partner universities. · Take full ownership of individual performance metrics by meeting application deadlines, proactively identifying risks, and ensuring timely resolution of outstanding issues. · Act as the primary point of contact for students, partner universities, and internal teams, ensuring clear communication and seamless coordination throughout the admissions process. · Maintain the highest standards of accuracy and compliance by ensuring all applications meet institutional requirements before submission. · Monitor personal performance, analyse workflow efficiency, and implement process improvements to enhance productivity, accuracy, and student experience. Requirements Essential Criteria · Bachelor's degree or equivalent qualification. · Minimum of 2 years' experience in admissions management, student enrollment, or a similar administrative role within higher education or university admissions. · Proven experience managing high-volume application processing, documentation, and casework with exceptional accuracy and attention to detail. · Demonstrated ability to work independently in a remote environment, effectively managing priorities and delivering results with minimal supervision. · Self-motivated, disciplined, and capable of working independently in a remote, KPI-driven environment. · Excellent written and verbal communication skills, with the ability to manage multiple stakeholders professionally. Desirable Criteria · Excellent organisational and time management skills, with a strong eye for detail. · Strong analytical and problem-solving abilities, with a continuous improvement mindset. · Proficiency in using CRM systems, admissions platforms, and Microsoft Office applications. · Highly accountable, taking full ownership of work and outcomes. · Calm, resilient, and able to perform effectively under pressure while managing competing deadlines. · Committed to delivering a high standard of service, accuracy, and compliance throughout the admissions process. Location The position is home-based with travel if required. Other Information Please note this position is only available on our consultancy agreement. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.

Location: Abu Dhabi, United Arab Emirates We are? A leading specialist engineering services company delivering integrated solutions for complex energy and infrastructure projects and operating assets. Our business is built on the belief that our people are what make EnerMech excellent. When we are thriving globally it’s not just about investing in our infrastructure, service offering and technology, but by also investing in our people. The role? The primary responsibility is to support the deck operations on the client platform as per company processes and procedure and demonstrate safety leadership and continuous development in all aspects of crane, lifting and support service activities. Main Responsibilities & Key Result Areas Be responsible for all lifts onshore or offshore as directed by the Crane Supervisor, Deck Foreman or client personnel where required. Carry out Banking/Signalman duties as and when required. The Rigger is responsible for attaching and detaching the load to and from the crane. The Rigger is also responsible for the selection of the correct lifting arrangement in accordance with planned lifting operations and to check them before use. Check that the lifting equipment being used is in good condition, certified for use, correctly colour coded, and of sufficient capacity to carry out the lift. The directing and movement of the crane/load is initiated by the Rigger/slinger using the designated signaling method. Ensure at all times that the load is under complete control by the use of tag lines, or whatever assistance is deemed necessary. Able to establish weights and the effect of the center of gravity, and to balance loads and judge distances, heights, and clearances. Ensure that no load is to be lifted where the weight is not stated or unknown. Participate in the planning and risk assessment of all routine and up to non-routine complicated crane-lifting operations associated with the day-to-day running of the client platforms. Have sufficient general engineering knowledge of loose lifting equipment to carry out daily inspection routines. Be multi-skilled in other platform duties including operating firefighting equipment and undertaking fire standby and deck duties, when required. Complete reports, lifting operation risk assessments, logs and other documentation, as required. Assist in maintaining all lifting appliances including cranes in clean and tidy condition. Maintain loose lifting equipment in a safe and operable condition. Carry out pre-use inspection of loose lifting equipment. Carry out minor repairs to loose lifting equipment i.e., repair of safety catches. In line with clients or company Bi-annual lifting equipment campaign, assist TPI with inspection & re-certification of loose lifting equipment. Assist Crane Operator Maintainer & Maintainers in carrying out routine maintenance duties, acting as maintenance technician where required. Requirements Riggers shall be able to read and write English fluently; they shall be experienced, fully trained and wholly competent in the rigging duties associated with offshore crane operations & shall: A minimum 21 years of age. Educated to a minimum qualification of higher secondary school certificate or equivalent qualification. Have a minimum of 5 years offshore experience. Shall be trained and be assessed every 2 years through Company qualified assessor approved by COMPANY. Competent by approved ADNOC TPA skills assessor against the criteria for Level 3 rigging competency preferred. Competent by approved ADNOC TPA skills assessor against the criteria for Banksman/Signaler competency preferred. Competent by approved ADNOC TPA skills assessor against the criteria for Overhead Crane Operator competency preferred. The Rigger shall also have adequate understanding of the capabilities and limitations of each crane about offshore operations. Riggers who have not worked on the any offshore platforms shall undertake sufficient time to familiarize themselves with the specific operating procedures under the supervision before commencing lifting operations. Behaviors and Personal Qualities Teamwork. Self-motivated. Good Communication Skills High standards of workmanship Ability to work and react under pressure and tight deadlines EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.

Location: Kuala Lumpur, Malaysia Company Description Our client is a global organization operating within the financial services and trading industry, providing individuals with access to a wide range of financial markets, including equities, commodities, and foreign exchange. With over two decades of experience, the company has built a strong international presence, serving a diverse customer base across multiple regions. It operates through a portfolio of established brands and continues to expand its global footprint. The organization focuses on delivering user-friendly platforms, efficient services, and reliable support to help clients navigate financial markets. With offices across key international hubs, it offers a dynamic and multicultural working environment with opportunities for professional growth. Job Description Reporting to the Team Lead / Senior Customer Service, our client is seeking a proactive and customer-focused Thai-speaking Customer Service Representative to join the team. The successful candidate will be responsible for delivering high-quality support to Thai-speaking clients, resolving inquiries efficiently, and contributing to a positive overall customer experience. You will work within a diverse, collaborative team environment and play a key role in supporting client satisfaction and retention. Key Responsibilities Respond to customer inquiries via phone, email, and live chat in Thai and English. Provide accurate information regarding products, services, and policies. Resolve customer issues in a timely and professional manner. Maintain detailed and accurate records of customer interactions within CRM systems. Collaborate with internal teams to ensure seamless issue resolution and customer satisfaction. Identify and escalate priority or complex issues when necessary. Handle back-office related queries and support requests. Assist clients with basic technical troubleshooting where required. Manage and resolve customer complaints effectively and professionally. Meet defined performance targets, including response times, resolution rates, and customer satisfaction metrics. Identify opportunities to enhance client experience and retention through value-added support and service. Qualifications Fluency in Thai and English (spoken and written) is essential. Previous experience in customer service or a similar role is preferred; experience within financial services or trading environments is an advantage. Strong communication and interpersonal skills. Ability to work effectively under pressure in a fast-paced environment. Strong multitasking and organizational abilities. Familiarity with CRM systems and customer support tools is beneficial. Problem-solving mindset with strong attention to detail. Additional language skills are a plus. Additional Information Benefits & Perks Our client offers a competitive benefits package, including: Hybrid working policy Discretionary performance-related bonus Personalized flex benefits Wellbeing initiatives and access to self-development tools Medical insurance Comprehensive leave package of 40 days inclusive of public holidays Our client is an equal opportunities employer and encourages applications from suitably qualified candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.

Location: San Francisco, CA 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 a threat intel manager to build and run our Model Exploitation & Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation,  unauthorized access, account farming and reseller abuse, and fraud and scam operations. You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework,  tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work Capable of independently leading complex investigations. Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape Minimum qualifications Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale Have built processes, detection systems, or programs from scratch and can show what changed because of them Communicate crisply with executives, engineers, and external partners alike Preferred qualifications Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale Background in financial crime investigation or fraud analytics Experience working directly with U.S. government stakeholders on threat reporting A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context Active Top Secret security clearance 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: $375,000 — $455,000 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.