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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Commercial Counsel, SPARC (Safety, Policy, and Research Contracts) to join our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively on cutting-edge AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards. This is an excellent opportunity for a motivated attorney to develop deep expertise in their commercial transactions career while contributing directly to responsible AI development. Key responsibilities Draft, review, and negotiate commercial agreements, focusing mainly on AI safety and research agreements, as well as product and strategic partnership agreements Partner closely with beneficial deployments, health, policy, and education partnerships teams to support deal velocity and provide practical legal guidance Draft program terms for the phased deployment of AI models with frontier capabilities in cybersecurity and health sciences. Help build and maintain commercial legal infrastructure, including contract templates, playbooks, and process improvements Partner with Policy, Safeguards, and Research teams on novel AI governance initiatives Identify and escalate legal risks appropriately while supporting business momentum Stay current on legal developments affecting AI technologies Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in house counsel where you’ll be based Experience drafting, reviewing, and negotiating commercial agreements Demonstrated ability to provide clear, practical legal guidance to non-lawyers on complex commercial law matters Preferred qualifications Commercial experience supporting research collaborations and sponsored research and grant giving programs Curiosity about AI technology and AI policy, and a commitment to responsible AI development Experience with biotech, clinical research, or other life sciences transactions Familiarity with grant-making or grant-funded arrangements, including funding terms and compliance considerations Experience advising on partnerships with non-profit foundations, academic institutions, or industry trade groups Comfort advising research teams whose work doesn't follow a standard commercial playbook Strong communication skills, with the ability to translate legal concepts for non-legal audiences A collaborative approach to working with colleagues and external partners Experience navigating multi-stakeholder agreements involving technical and policy considerations Ability to adapt to shifting priorities in a fast-paced environment Experience with SaaS agreements or other technology transactions 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: $265,000 — $335,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is hiring a Senior Product Manager, Healthcare Product to help shape the future of health intelligence for millions of members. In this role, you will define and execute product strategies that improve health outcomes across key healthcare domains including women's health, cardiometabolic health, mental health, and preventive health. Working cross-functionally with engineering, design, data science, clinical, regulatory, and commercial teams, you will deliver innovative, evidence-based experiences that transform complex health data into actionable insights, helping members better understand and improve their health. RESPONSIBILITIES: - Define and drive product strategy for healthcare experiences, identifying opportunities to help members gain deeper visibility into their health and make informed decisions that improve outcomes - Develop and prioritize an outcomes-driven product roadmap, balancing member value, scientific rigor, business impact, and technical feasibility - Partner closely with engineering, design, data science, clinical, and regulatory teams to bring healthcare products and features from concept through launch and ongoing optimization - Champion member needs through research, feedback synthesis, and data analysis, ensuring products deliver meaningful, engaging, and trusted experiences - Leverage data and experimentation to evaluate product performance, measure outcomes, and continuously improve member engagement and health impact - Help shape WHOOP's AI-powered health intelligence vision by building experiences that adapt to each member's unique physiology, health goals, and life stage - Ensure healthcare features are developed responsibly, adhering to applicable regulatory requirements, ethical standards, and scientific best practices - Stay informed on emerging healthcare technologies, consumer health trends, clinical innovation, and competitive developments to identify opportunities for differentiation and growth QUALIFICATIONS: - 5+ years of product management experience with a demonstrated track record of shipping successful consumer-facing digital products - Experience leading complex cross-functional initiatives involving engineering, design, analytics, and business stakeholders - Familiarity with healthcare, wellness, digital health, regulated products, clinical product development, or related domains - Knowledge of healthcare product development considerations, including clinical validation, health data, regulatory frameworks, or Software as a Medical Device (SaMD), is preferred - Expertise or strong interest in one or more areas such as women's health, exercise physiology, sleep health, nutrition, mental health, cardiometabolic health, or preventive care - Strong analytical and strategic thinking skills, with the ability to use data and member insights to inform product decisions - Exceptional communication and stakeholder management skills, with the ability to clearly articulate complex concepts and influence across teams - Entrepreneurial mindset with a bias toward action and comfort operating in fast-paced, ambiguous environments - Passion for improving health outcomes and advancing WHOOP's mission to unlock human performance and healthspan - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $155,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: United States How you'll contribute A Director of Finance who excels in this role: Directs the department's activities and resources to achieve departmental and organizational objectives. To perform this job, an individual must perform each essential function satisfactorily with or without a reasonable accommodation. Develops and implements departmental goals, plans, and standards consistent with the clinical, administrative, legal, and ethical requirements/objectives of the organization. Directs and evaluates departmental operations, including patient care delivery, information technologies, service level determination, and complaint management, to achieve performance and quality control objectives. Plans and monitors staffing activities, including hiring, orienting, evaluating, disciplinary actions, and continuing education initiatives. Prepares, monitors, and evaluates departmental budgets, and ensures that the department operates in compliance with allocated funding. Coordinates and directs internal/external audits. Creates and fosters an environment that encourages professional growth. Ensures department stays focused on their important role in the continuum of care. Exhibits regular and reliable attendance. Performs other duties as assigned. Additional Information: Position serves both internal co-workers and external customers, clients, patients, contractors, and vendors. Position will access and/or work with sensitive and/or confidential information. Desired candidate will exhibit a comprehensive understanding of healthcare regulatory and compliance (e.g., HIPAA). Skilled in the application of policies and procedures. Knowledge of Business Office Standards and Recommended Practices. SUPERVISORY RESPONSIBILITIES: Manage the work of others, including planning, assigning, scheduling and reviewing work, ensures quality standards. Responsible for hiring, terminating, training and developing, reviewing performance and administering corrective action for staff. What we're looking for Education : Bachelor's Degree in related field preferred Applicable work experience may be used in lieu of education Skills & Experience: Business Mathematical Skills -- Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rates, ratios, and percentages and to draw and interpret graphs. Moderate Computer Skills -- Frequent use of electronic mail, word processing, data entry, spreadsheets, graphics, etc. Ability to create, maintain and incorporate simple functions into documents, spreadsheets, databases, and presentations to support business objectives. Complex Communication -- Frequently communicates complex information and interacts with management. Can present, resolve, and address delicate situations. Can motivate and persuade others. Varied Business Problems -- Problems are varied and complex, requiring analysis or interpretation of the situation. Problems are solved using knowledge and skills, general precedent and practice. Department Specific -- Decisions impact the management and operations within a department. May contribute to business and operational decisions that affect the department. Functional Independent Judgement -- Provides and sets goals and priorities for functional area. May make recommendations for department policies, practices, and programs. Makes decisions for and/or resolves problems for others. Project Planning/Organization -- Handle multiple projects simultaneously including task delegation, project over-sight, and resource allocation. Why join us We believe that investing in our employees is the first step to providing excellent patient care. In addition to your base compensation, this position also offers: Comprehensive Benefits : Multiple levels of medical, dental and vision coverage for full-time and part-time employees. Financial Protection & PTO : Life, accident, critical illness, hospital indemnity insurance, short- and long-term disability, paid family leave and paid time off. Financial & Career Growth : Higher education and certification tuition assistance, loan assistance and 401(k) retirement package and company match. Employee Well-being : Mental, physical, and financial wellness programs (free gym memberships, virtual care appointments, mental health services and discount programs). Professional Development : Ongoing learning and career advancement opportunities.

Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire an English and Arabic Speaking Client Services Officer to join our Client Services team! About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What the job looks like? The Client Services Officer will have the opportunity to: Provide professional support to clients via phone, email, live chat, and other communication channels. Assist clients with account opening, verification, deposits, withdrawals, and general account-related inquiries. Resolve issues related to trading platforms, account management, trade execution, and technical functionality. Build and maintain strong client relationships through proactive communication and ongoing support. Identify client needs and provide tailored solutions to enhance satisfaction and retention. Educate clients on the company's products, trading platforms, tools, and available resources. Ensure all client interactions are handled in accordance with company policies and regulatory requirements. What will you need to be able to do the job? At least 1 year of experience in a Customer Support or Sales role within a regulated financial services company. Fluent in Arabic and English, both written and spoken. College or University degree. Strong attention to detail, organizational, and communication skills. Good knowledge of Microsoft Office applications. High level of professionalism, strong work ethic, self-motivation, and team spirit. Positive, can-do attitude. Flexibility to work on public holidays. Availability to work the evening shifts only (15:00 - 23:00 Dubai Time Zone). Will be considered as an advantage: Any additional language will be considered as an advantage. Deep understanding and experience with financial products and ETDs such as Futures & Options. By joining us, you can expect: Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “Employee Training & Development program”. Birthday and Loyalty benefits. What to expect from our recruitment process: First interview with hiring managers or an HR call Task Assessment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an exceptional Legal Program Manager to serve as the operational backbone of contracting for the Compute and Infrastructure team. We'll rely on you to manage a high volume of procurement and vendor agreements — including datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; and construction, facilities, and operations-and-maintenance (O&M) contracts — along with the NDAs, order forms, SOWs, and amendments that surround them. You will build the scalable contracting processes — templates, playbooks, intake and approval workflows, and contract lifecycle management — that let the business move at the speed of Anthropic’s infrastructure buildout. This role owns the system, throughput, and visibility that move every agreement from intake through signature. Key responsibilities Coordinate and shepherd a high volume of compute and infrastructure procurement transactions — datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; construction/EPC and facilities/O&M agreements; and the supporting NDAs, order forms, SOWs, and amendments — driving each from intake through signature Own and administer the contract lifecycle management system: workflow design and configuration, templates, approval routing, signing and archive and integrity hygiene Design and run intake and triage: how requests enter, how they are prioritized, and how they route to the right owner Propose and develop scalable solutions to improve contracting efficiency and throughput across the infrastructure vendor base Collaborate with business units and legal team members to streamline contract management processes, manage post-signature obligations and renewals across the infrastructure vendor portfolio, identify potential risks, and drive continuous improvement in contract handling efficiency Partner closely with the Compute and Infrastructure, Product, Finance, Security, Business Operations, and Procurement Ops teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel Build reporting, dashboards, SLAs, and the metrics that surface turnaround times and bottlenecks across the infrastructure vendor portfolio Deploy LLM and AI tooling to scale contracting throughput and reduce manual handling Minimum Qualifications Experience operating in a fast-paced technology startup in which priorities shift rapidly and schedules "move to the left," thriving in this dynamic environment and priding yourself on your adaptability and ability to pivot with speed and grace Initiative and autonomy in managing complex contractual matters, effectively prioritizing competing deadlines An understanding of what's important in the context of a contract, the organization's mission, and enough contract fluency to triage and route requests, track obligations, and pull in relevant legal counsel Excitement to grow with an organization and help shape the culture of the commercial function A preference for straightforward, concise explanations over legalese and overwrought drafting A knack for identifying and implementing efficient processes and policies The ability to thrive as a member of cross-functional teams building frontier technologies, with a desire to develop a deep understanding of the Compute & Infrastructure teams and the datacenter, hardware, and network systems they build and operate Comfort operating outside your areas of expertise and in uncharted legal territory A "doer" mentality, willing to roll up your sleeves to get things done as a team player who doesn't hesitate to jump in to do work that needs to get done, whether glamorous or not Hands-on experience with contract lifecycle management or legal-operations tooling, process design, and working from data, metrics, and dashboards Comfort using AI and LLM tools to streamline and scale routine contracting work Preferred Qualifications 10+ years in contract management, legal operations, or procurement operations, including hands-on experience implementing or administering a contract lifecycle management (CLM) platform; experience supporting infrastructure, datacenter, hardware, construction, or telecom/network procurement and vendor contracting Proven ability to collaborate across various organizational levels and functions to facilitate efficient contracting processes and execution while building strong relationships Working familiarity with the structure of datacenter, colocation, and lease agreements; hardware and equipment procurement; construction, facilities, and O&M contracts; network and telecom agreements; high-volume, template-driven vendor contracting; and general contract terms Excellent verbal and written communication, analytical, collaboration, and interpersonal skills Motivated self-starter able to multitask and juggle multiple priorities in a dynamic environment Authentic integrity and a deep understanding of the importance of ethics in business Experience implementing or administering a CLM platform (Ironclad) and standing up reporting and metrics 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: $285,000 — $340,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: London, UK 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 RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training. This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short. Key responsibilities Design, run, and interpret large-scale RL experiments, reasoning rigorously about what the data does and doesn't show Investigate how RL improves as horizon, compute, and model size grow Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship Debug complex issues at the seam where research meets infrastructure - failures that only appear at scale Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack Minimum qualifications Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area Demonstrated ability to own large experiments end-to-end, from design through interpretation Proficiency in Python and experience working with large-scale or distributed ML systems Comfort operating at the research/systems boundary, including debugging where the two meet Care about the societal impacts of AI and responsible scaling Preferred qualifications Published or shipped work in long-horizon RL or RL fundamentals Experience translating research findings into production training recipes Demonstrated large scale industry impact via RL interventions Experience working on frontier-scale training runs with long trajectories Representative projects Design a benchmark suite for long-horizon RL that distinguishes genuine capability gains from artifacts of evaluation setup Take a promising experimental finding, stress-test it across model scales, and work with training teams to land it in a production recipe Investigate an unexpected scaling trend in an RL run and trace it to a root cause spanning algorithm, data, and infrastructure 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 — £640,000 GBP 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: London, UK 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 is seeking a Contracts Manager to join our team in London. Embedded within our in-region commercial and legal operations, you'll work closely with local in-region counsel and lead counsel to support commercial and technology transactions across the region. We'll rely on you to help review, draft, and negotiate commercial and procurement contracts that support our cutting-edge AI systems. You'll also serve as a key partner in translating global legal strategy into regional execution — including supporting the triage of regional matters, rolling out process improvements and initiatives driven from global headquarters, and running local enablement sessions to keep business teams informed and aligned. You'll build scalable contracting processes and collaborate across Product, Sales, Finance, Business Operations, Research, and Procurement teams. Key responsibilities Draft, analyze, negotiate, and complete complex commercial transactions with our enterprise customers, vendors, and strategic partners, including IP licensing agreements Propose and develop scalable solutions to improve contracting efficiency Collaborate with business units and legal team members to streamline contract management processes, identify potential risks, and drive continuous improvement in contract handling efficiency Collaborate with the Product, Sales, Business Operations, Research, and Procurement teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel Partner closely with in-region counsel and lead counsel on day-to-day triage of regional legal matters, ensuring workload is prioritized effectively and seamlessly coordinated between regional and global teams Drive the regional rollout of process improvements, policy updates, and programs initiated from global headquarters, including planning and facilitating local enablement sessions to keep commercial and cross-functional stakeholders informed and ready to execute Pitch in across other areas of the legal function — as a small team supporting big things, each of us practices across multiple areas, and we'd love to hear where else your experience or interests could contribute Minimum qualifications Substantive knowledge of software and SaaS agreements, reseller agreements, services agreements, strategic partnerships, and general commercial contract terms Ability to independently draft, review, and negotiate complex commercial and procurement contracts Experience managing the full contract lifecycle for technology transactions, sales organizations, and/or partnerships Preferred qualifications 8+ years of related contract management experience, with at least 5 years supporting technology transactions, sales organizations, and/or partnerships Experience operating in a fast-paced technology startup where priorities shift rapidly and schedules "move to the left" Prior experience as part of a global or distributed legal team, including partnering with colleagues across regions and navigating the nuances of aligning local needs with centralized priorities A track record of operating with a high degree of autonomy while keeping global stakeholders appropriately informed — comfortable setting your own cadence and exercising sound judgment about when to escalate versus when to decide Strong habits around async communication, proactive status updates, and operating effectively with a remote manager across time zones An understanding of what's important in the context of a contract and the organization's mission, including when to be flexible and when to draw a hard line A knack for identifying and implementing efficient processes and policies A preference for straightforward, concise explanations over legalese and overwrought drafting Comfort operating outside your areas of expertise and in uncharted legal territory The ability to thrive as a member of cross-functional teams building frontier technologies, with a desire to develop a deep understanding of our technical teams and what we are building Excellent verbal and written communication, analytical, collaboration, and interpersonal skills Authentic integrity and a deep understanding of the importance of ethics in business 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: £140,000 — £180,000 GBP 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 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 Global Workplace & Real Estate team is delivering a rapidly expanding global portfolio — including full-building offices at the scale of ~450,000 SF that combine commercial kitchens, executive briefing centers and event space, high-end amenities, and the elevated power, cooling, and security infrastructure our work requires. We're hiring a Real Estate Construction Manager to lead the technical delivery of these projects from pre-construction through closeout and to serve as our primary technical counterpart to general contractors, design teams, and specialty vendors. This is a hands-on construction leadership role, not a design role. You will own how our projects get built: delivery method and contracting strategy, GC selection and oversight, MEP and specialty-systems coordination, cost and schedule control, and commissioning.  Executing the design direction is set by the Global Head of Real Estate & Workplace and our architects. You will also lead and develop a team of project managers delivering across the global portfolio. This role reports to the Global Head of Real Estate & Workplace. Key responsibilities Pre-construction & technical delivery Lead pre-construction on complex buildouts: constructibility and design/drawing reviews, MEP and structural coordination, estimating support, value engineering, and development of the GMP or bid package. Recommend and own the delivery method and contracting strategy for each project (e.g., GMP, lump sum, CM-at-risk, design-assist), matching the approach to scope, schedule, and risk. Read and interpret architectural, structural, and MEP drawings and specifications; surface gaps, conflicts, and risk before they reach the field. Coordinate technically demanding scopes — commercial kitchens (Type I hoods, make-up air, grease and UL300 fire-suppression systems, utility upsizing), high-performance AV and acoustics for executive and event spaces, server/IDF rooms with redundant power and supplemental cooling, elevated power density, and integrated physical security. Manage permitting and inspections with authorities having jurisdiction across multiple markets and labor environments. Construction execution, quality & closeout Oversee construction from mobilization through closeout across multiple concurrent projects, holding general contractors accountable to schedule, budget, safety, and quality. Run the technical processes that keep a job on track: RFIs, submittals and shop drawings, ASIs, and BIM/clash coordination across trades; lead owner-architect-contractor and trade-coordination meetings. Conduct site visits to monitor progress, safety, and quality control; enforce inspection protocols and punch-list management. Drive commissioning and closeout — systems commissioning (including kitchen exhaust/MUA balancing, BMS, and life-safety), TCO/CO, as-builts, O&M manuals, warranties, attic stock, and owner training. Ensure compliance with local building codes, ADA requirements, and Anthropic's sustainability goals. General contractor, vendor & contract management Serve as the primary point of contact for general contractors, subcontractors, and external project managers, holding them to clear communication and accountability. Lead GC selection end to end: pre-qualification/RFQ, RFP/ITB, bid leveling and scope normalization, scope-gap detection, and award — and structure the contract (GMP fee, general conditions/requirements, allowances, contingencies, qualifications, and exclusions). Negotiate and administer contracts with contractors, vendors, and consultants; manage GC performance throughout construction, including schedule adherence, change-order management, safety compliance, and closeout. Determine which trades and specialty vendors to carry under the GC vs. hold owner-direct, and manage critical long-lead vendors (kitchen equipment, AV, architectural millwork, switchgear/generator). Develop and maintain landlord and property-management relationships to facilitate approvals and ongoing operations. Cost & commercial controls Build and own detailed budgets by trade/CSI division — separating hard costs, soft costs, FF&E, technology, allowances, and escalation — and manage design, construction, and GC contingencies deliberately. Review and approve budgets, change orders, and invoices, including schedule-of-values setup, pay-application review (e.g., AIA G702/G703), retainage, and lien waivers, providing professional pushback to protect Anthropic's interests. Govern the change-order process (PCO to CO, markups, substantiation) and distinguish legitimate changes from scope gaps the contractor should have carried. Lead value engineering that protects scope and design intent; maintain cost forecasting and reporting throughout each project. Team leadership Directly manage and develop a team of Real Estate / Construction Project Managers delivering projects across the global portfolio. Set technical standards, playbooks, and performance expectations; balance workload across the team by project complexity and development goals. Coach the team through complex technical and commercial problem-solving; review progress, identify blockers, and course-correct. Foster a culture of ownership, continuous improvement, and knowledge sharing, and structure the function to support rapid growth. Stakeholder management & communication Partner closely with internal stakeholders — Security, IT, Facilities, Finance, and business teams — to ensure technical and operational requirements are built into project plans. Create executive-level presentations and reporting on project status, budget, schedule, and risk, with clear recommendations. Craft clear communications to the broader employee population about office changes, construction impacts, and workspace enhancements. Minimum qualifications Hold a Bachelor's degree in Construction Management, Engineering, Architecture, Real Estate, or a related field. Bring deep, hands-on construction expertise — reading and interpreting architectural, structural, and MEP drawings and specifications, and running the field from them. Command construction delivery methods and contract structures — GMP, lump sum, cost-plus, and design-assist — and the mechanics of change-order management. Have delivered technically complex scopes — e.g., commercial kitchens, high-end client/amenity and event spaces, data/server rooms with redundant power and cooling, and integrated security systems. Are strong in pre-construction — constructibility review, estimating, value engineering, and bid leveling. Command cost and commercial controls — budgeting by division, schedule of values, pay-application review, change-order governance, and contingency management. Have managed budgets for projects ranging from $50M to $300M+, and multiple complex projects concurrently. Have navigated permitting and inspections across multiple jurisdictions, in union and non-union environments. Have directly managed and developed project managers through full project lifecycles, and can scale a delivery function for rapid growth. Are proficient with construction PM software (e.g., Procore) and CPM scheduling tools (e.g., Primavera P6 or MS Project), plus MS Office. Possess excellent verbal and written communication skills, with the ability to tailor messages from the C-suite to the general population. Are willing to travel 25–50% to various office locations. Preferred qualifications Have 10+  years in corporate real estate construction management, general contracting, or a related field, with a track record of delivering complex office buildouts on time and on budget. Hold PMP (or equivalent) and OSHA 30 certifications. Possess LEED accreditation or demonstrated experience with sustainable building practices. Have commissioning experience on technically complex base-building or tenant systems. Bring an established network of general contractors, subcontractors, and specialty vendors. Have international project experience and an understanding of building standards and permitting across different countries. Have worked in high-growth technology environments, particularly those scaling from 500 to 5,000+ employees. 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: $275,000 — $315,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: London, United Kingdom Workplace: none We are seeking a Lecturer in Business Management to join our academic team from September 2026. This role is ideal for an adaptable, student-focused educator who can teach across multiple business disciplines and support learners through Levels 4–6. About Us London College of Contemporary Arts (LCCA) is a dynamic higher education provider within Global University Systems (GUS), delivering University for the Creative Arts (UCA) validated programmes. Teaching Pattern: Monday to Friday daytime teaching, with a preference for availability to teach a small number of evening sessions during the week. You will teach subject areas including: Marketing Principles and Strategy Organisational Behaviour and People Management Innovation and Entrepreneurship Business Strategy and Business Policy Ethics, Sustainability and Corporate Responsibility Operations and Supply Chain Management Key Responsibilities Deliver engaging, inclusive teaching Support student progression and achievement Contribute to curriculum development Maintain subject expertise Essential Criteria Degree and postgraduate qualification in Business or related discipline (or equivalent professional experience) Teaching qualification (PG Cert or equivalent) At least two years’ UK Higher Education teaching experience Experience teaching across Levels 4–6 Strong communication and teamwork skills Desirable PhD or equivalent professional standing Fellowship of the HEA (or working towards) Industry or consultancy experience We’d particularly welcome applications from individuals who can demonstrate one or more of the following: Experience supporting students to use Generative AI and digital tools effectively and ethically Experience supporting or building SMEs, start-ups or freelance ventures Commitment to helping students grow entrepreneurial ventures Why Join LCCA? Thrive in a creative, diverse, and collaborative teaching environment. Access support for professional development. Help prepare real-world-ready business graduates with a global, entrepreneurial outlook. How to Apply If you’re passionate about progressive, hands-on education and ready to empower the next generation of business leaders, we’d love to hear from you. Please include your subject specialisms and preferred teaching availability (day/evening/weekend) in your application. LCCA is committed to equality, diversity and inclusion and welcomes applications from all backgrounds. We are committed to ensuring our workforce is reflective of our diverse student population, striving to increase the representation of age, disability, gender identity and expression, religion, race, sex, sexual orientation, and socio-economic background of our employees. We’re also committed to providing adjustments to those who may require support with the recruitment process - please contact the LCCA Talent Acquisition Team collegedivisionrecruitment@gus.global Please note: For this opportunity, you must be able to prove you have the right to work in the UK - if in doubt please visit the following link Employers' right to work checklist - GOV.UK ( www.gov.uk ). Please note we are not a licenced sponsor.

Location: Canggu, Indonesia The Company Our client creates sustainable fashion that honours and empowers the diverse female form. They craft timeless designs with intention and care, using eco-friendly materials and ethical production practices. Their philosophy, "Buy Less, Choose Well, Make it Last," underpins their slow fashion approach. Our client is a consciously crafted clothing brand with roots in Torquay, Australia, and a heart in Bali, where each piece is ethically made. Rooted in sustainability, ethical production, and mindful living, they create timeless, versatile clothing designed for movement and everyday wear. Their collections embrace natural fibres, earthy tones, and effortless silhouettes that honour both the wearer and the world around them. At our client, their foundation is Connection—to their community, to the Earth, and to the self. They are a place where women feel inspired, seen, and understood, and can reconnect with nature and their own right to be soft and live fully. Every decision they make is rooted in deep intention. The Role The Garment Technician & Pattern Maker is a key role within our client's Design team. Your mission is to own the product development process end to end — from initial sketch through to final, production-ready sample — bringing complete mastery of garment construction, pattern making, and sample development management. Working closely with the Design & Development Lead and the wider Design team, you will be the technical backbone of the development team — leading fitting sessions, pattern making and grading, technical documentation, and manufacturer coordination across all stages. You will play a key role in improving fit consistency, product quality, and communication with manufacturers. This role is ideal for someone who is highly detail-oriented, technically minded, and passionate about garment construction, fit, and product development within a purpose-driven and sustainable brand. Location: Canggu, Bali Employment Type: Full-time / On-site Reports to: Head of Design Creative Reporting Line: Co-Founders (Final creative sign-off) Key Responsibilities Technical Development & Garment Construction Own sample development independently, start to end, from sketch to final sample. Create and/or oversee pattern making with a full understanding of garment construction. Critically analyse fit comments and translate feedback into clear, technical action points. Diagnose construction or fit issues and propose durable technical solutions, not just quick fixes. Lead fitting sessions: taking measurements, technical notes, and deciding on the adjustments needed. Bring strong technical knowledge of woven, jersey and activewear fabrics. Bring strong technical knowledge of knitwear (gauge, stitch structure, finishing, shrinkage, shaping). Bring technical knowledge of intimates/lingerie construction (elastic engineering, cups, support structures). Carry out or coordinate fabric testing (shrinkage, stretch & recovery, colorfastness, pilling) to validate performance before bulk production. Pattern Making & Grading Create digital patterns from sketch or brief with a complete understanding of drape, ease, and movement. Apply a critical, analytical eye to grading, identifying areas for continuous improvement across the size range. Adjust key points of measurement based on fit feedback and production considerations. Technical Documentation & Accuracy Create, update, and maintain techpacks and spec sheets with accuracy and consistency. Ensure all documentation (fitting notes, revisions, BOM) is complete, organised, and up to date. Communicate clearly and effectively with manufacturers on technical comments, corrections, and updates. Sample Development & Production Coordination Track sample development across all stages, ensuring timelines and revisions are followed closely. Coordinate with manufacturers with a real understanding of production constraints (MOQ, technical feasibility, construction complexity). Estimate fabric consumption and support costing discussions with manufacturers. Prepare samples for fittings, meetings, and production handover. Leadership & Team Support Mentor and support junior team members on technical development and pattern making. Manage multiple projects and priorities simultaneously across different product categories. Act as a technical reference point for the wider design and development team. Tracking & Reporting Document development progress meticulously (fitting photos, revision notes, sample history). Keep development trackers accurate and up to date at every stage. Requirements You are highly organised, technically minded, and passionate about the details that make a garment fit and function beautifully. Detail-Oriented : You have a strong eye for precision and consistency, especially regarding fit, measurements, and garment construction. Technically Skilled : You have complete mastery of garment construction and pattern making, and understand how different fabrics behave across categories, including knitwear. Analytical : You take a critical, questioning approach to fit comments and grading, always looking for ways to improve accuracy and consistency across the size range. Process-Driven : You enjoy organising information, following development stages closely, and ensuring nothing falls through the cracks. Collaborative : You communicate clearly with both design teams and manufacturers, and enjoy working in a growing and supportive environment. Quality-Focused : You care deeply about product quality, fit consistency, and creating garments that are made to last. Sustainability-Driven : You are aligned with our client's slow-fashion philosophy and understand the importance of thoughtful product development. Requirements 8–10+ years of experience in garment technical development and pattern making. Full mastery of pattern making across wovens, jersey, knitwear, intimates. Strong knowledge of garment construction and fitting processes. Deep, critical understanding of grading and measurements, with the ability to identify and improve grading accuracy. Ability to create and update technical packs independently. Proficient in CLO 3D, Adobe Illustrator and Adobe Photoshop. Proficient in Google Sheets / Excel. Knowledge of sustainable materials and processes (certifications, recycled fibres, low-impact dyeing, etc.). Strong organisational skills and attention to detail. Comfortable communicating technical comments and revisions directly with manufacturers. Deep understanding of garment costing and fabric consumption. Experience mentoring or supervising junior technical staff. English & Bahasa Indonesia proficiency. Benefits This is a rare opportunity to focus purely on creative excellence within a purpose-driven fashion brand. If you are a Senior Garment Tech & Pattern Maker who wants to create beautiful, sustainable collections with depth, soul and commercial relevance, our client offers the platform to truly express your craft.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up. This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet. Key responsibilities Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer Develop measured boot implementations and runtime integrity monitoring Create reference architectures and security requirements for bare-metal deployments Integrate security controls with infrastructure teams without impacting training performance Prototype and validate security mechanisms before production deployment Conduct firmware vulnerability assessments and penetration testing Build firmware analysis pipelines for continuous security monitoring Document security architectures and maintain threat models Collaborate with software and hardware vendors to ensure security capabilities meet our requirements Minimum qualifications Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone) Strong understanding of cryptographic protocols and hardware security modules Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation Proficiency in low-level programming (C, Rust, Assembly) and systems programming Knowledge of firmware vulnerability assessment and threat modeling Track record of designing security architectures for complex, distributed systems Experience with supply chain security Ability to work effectively across hardware and software boundaries Knowledge of NIST firmware security guidelines and hardware security frameworks Preferred qualifications 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) Experience with confidential computing technologies and hardware-based TEEs Knowledge of SLSA framework and software supply chain security standards Experience securing large-scale HPC or cloud infrastructure Contributions to open-source security projects (coreboot, CHIPSEC, etc.) Background in formal verification or security proof techniques Experience with silicon root of trust implementations Experience working with building foundational technical designs, operational leadership, and vendor collaboration Previous work with AI/ML infrastructure security 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 — $405,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai , Claude Code, and API. Responsibilities Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities Shape the roadmap with product and design, not just execute against it Drive the compliance and platform-readiness work your customers require, partnering with security and legal Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team Minimum qualifications 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools Are comfortable executing at a fast pace to meet the expectations of our customers Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth Preferred qualifications Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements Experience building integrations, permissions, billing, or pricing infrastructure Familiarity with data residency and sovereignty requirements across global regions Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment Experience in working with research to improve domain specific model capabilities 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: 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 Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software. This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort. This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping. Key responsibilities Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early (smoke tests red for extended periods, build times creeping up, toolchain breakages) and drive them to resolution Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount Minimum qualifications 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems) Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others A track record of defining and using engineering metrics to drive improvement: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering velocity Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure Strong written and verbal communication, and the ability to influence technical direction without formal authority Preferred qualifications Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware Familiarity with Kubernetes-based development and job scheduling environments Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's API is the foundation that customers, developers, and our own products build on, and it is scaling fast. We're hiring a Technical Program Manager to drive the scaling and core efficiency programs for the API stack, working at the intersection of the API and the infrastructure it runs on (compute, databases, networking, and inference). Today this work spans many teams and many simultaneous programs, with no single person focused on cohesion across them. You'll be the center: the person who connects isolated workstreams into one coherent roadmap, makes cross-org dependencies visible before they become blockers, and creates clarity on who owns which decisions. Success looks like an API stack that scales efficiently and predictably, with programs that land because someone is accountable for the whole picture. Responsibilities Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution Run multiple large programs simultaneously across infrastructure, networking, and the API layer Act as the connective tissue between API, infrastructure, database, networking, and inference teams, owning cross-org dependencies end to end Establish decision-making clarity: who owns what, where trade-offs get made, and how isolated streams roll up into one program view Surface risks, progress, and trade-offs to engineering leadership with the right altitude and cadence You may be a good fit if you Have 7+ years of technical program management experience, with a track record of successfully delivering complex, cross-functional programs Have experience with API platforms, distributed systems, and core infrastructure programs and can engage meaningfully with the engineers who design and operate them Have driven scaling, performance, or efficiency programs for high-volume production systems, including the tradeoffs across performance, reliability, and cost Have coordinated programs spanning many partner organizations, managing cross-team dependencies, commitments, and escalations at the working level Are highly organized and can manage multiple parallel workstreams effectively across distributed teams Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations, including where decision ownership is unclear Have excellent written and verbal communication skills, with the ability to influence without authority Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably 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: $290,000 — $435,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 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 RL Teams Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely. This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas — from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators — and we'll match you to the area where you'll have the most impact. You may be a good fit if you: Have strong software-engineering skills and deep Python expertise, including async/concurrent programming Are comfortable owning systems end to end and debugging across the stack Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results Care about code quality, testing, and performance Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may also have: Experience with reinforcement learning, RLHF, post-training, or LLM finetuning Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling Background in program analysis, testing, verification, compilers, or formal methods Experience with PyTorch and large-scale distributed training; performance profiling and optimization of ML systems CUDA / GPU or TPU kernel experience and accelerator-performance intuition Experience with virtualization and sandboxed code execution environments Related roles If your background leans toward one of these areas specifically, you may also want to look at these postings: Research Engineer, Performance RL (Reinforcement Learning) — teaching Claude to write correct, fast code for accelerators Research Engineer, Universes — long-horizon, ultra-realistic agentic training environments Research Engineer, Cybersecurity RL (Reinforcement Learning) — RL for security-relevant coding capabilities 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: $500,000 — $850,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 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 The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust Create clarity for the team and stakeholders in an ambiguous and evolving environment Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community Minimum qualifications Experience managing software engineering teams, including hiring, coaching, and developing engineers A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 4+ years of management experience, 10+ years of industry software engineering experience Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation Experience building developer platforms or extensible tooling frameworks that other teams build on top of Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Dallas, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We’re seeking a Technical Project Manager to join our Data Centers team. You are a technically grounded and highly organized project manager with 3-5 years of experience driving complex initiatives across software development and cybersecurity domains. You thrive in fast-paced environments and know how to bridge the gap between technical teams and business stakeholders. You bring a natural ability to manage competing priorities without losing sight of the details. You are someone who builds trust quickly with both technical contributors and non-technical stakeholders, adapting communication style based on your audience. You must be proactive in nature by surfacing risks early, asking the right questions, and able to propose creative solutions to problems before they arise. What You’ll Do: Lead end-to-end project management for software development and cybersecurity initiatives, from requirements gathering and planning through execution, delivery, and post-implementation support. Facilitate Agile ceremonies, including sprint planning, backlog grooming, standups, retrospectives, and release planning, ensuring teams remain aligned on priorities and delivery commitments. Partner with software engineering and cybersecurity leaders to define project roadmaps, establish milestones and prioritization, and drive execution against strategic objectives. Coordinate the management of cybersecurity initiatives, including vulnerability remediation efforts, security tooling deployments, compliance-related projects, and risk reduction programs. Drive cross-functional dependency management between software, cybersecurity, infrastructure, operations, and vendor teams to ensure successful project outcomes. Develop and maintain project dashboards, metrics, and reporting to provide visibility into team performance, delivery progress, and key operational risks. Partner closely with Data Center leadership to provide regular updates on project status, timelines, priorities, dependencies, risks, and mitigation plans. Develop detailed project requirements, user stories, and documentation using Jira, Confluence, and other project management tools to ensure clear communication, alignment, and execution across stakeholders. Collaborate with construction, operations, and other Data Center departments to remove obstacles, align priorities, and ensure successful delivery of critical initiatives. Establish and maintain strong relationships with internal stakeholders, facilitating effective communication and coordination across multiple departments. Contribute to the development, standardization, and continuous improvement of PMO processes, templates, governance frameworks, and project management best practices. Identify opportunities to improve team efficiency, project delivery, tooling, processes, and cross-functional collaboration within the Data Center organization. Track project risks, dependencies, and resource constraints, proactively escalating issues and driving resolution to maintain project momentum and business objectives. What We’re Looking For: Bachelor’s degree. 3–5 years of experience in technical project or program management, preferably supporting software development, cybersecurity, infrastructure, or Data Center technology teams. Strong understanding of software development lifecycles (SDLC), Agile delivery methodologies, and technical project execution. Experience with project management or program management practices and methodologies (Scrum, Agile, Jira, Confluence, etc.). Experience managing software development projects and working directly with engineering teams. Familiarity with cybersecurity concepts, including vulnerability management, security controls, identity and access management, security operations, and compliance frameworks. Experience translating technical requirements into actionable project plans for both technical and non-technical stakeholders. Proven ability to manage cross-functional initiatives involving multiple teams, stakeholders, and competing priorities. Extremely organized and ability to keep others organized and on track. Excellent communication and interpersonal skills, with the ability to work effectively in a team environment. Strong analytical and problem-solving skills, with a detail-oriented mindset. Ability to manage multiple projects simultaneously and meet tight deadlines. Scrum Master certification is highly desirable. Bonus Points: Experience supporting cybersecurity programs or security engineering teams. Experience working in mission-critical environments such as data centers, cloud infrastructure, enterprise technology, or regulated industries. PMP, Certified ScrumMaster (CSM), PMI-ACP, or similar project management certification. Experience with reporting and visualization tools such as Jira dashboards. Ability to work in a fast-paced deadline-driven environment and multitask. Ability to work effectively in a team environment with good communication skills. Strong work ethic and great attention to detail. Self-starter with a strong desire to make processes more efficient. Advanced proficiency with Jira, Confluence, and project tracking/reporting tools. What We Offer (US): Competitive base salary, bonus, and equity compensation Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (11) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Opportunities to learn about the Crypto industry Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Hamburg Workplace: Hybrid Every great app out there deserves to be connected with the right users and the right revenue streams. And adjoe will give this to them. adjoe https://adjoe.io/ is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Our unique ad unit Playtime has made us one of the fastest-growing ad platforms and top-ranking user acquisition sources for app publishers worldwide (ranked #1 for growth in the AppsFlyer Index). And that’s just the start: we’ve just launched our programmatic in-app platform in order to disrupt the status quo of mobile ad monetization. Again. Home to an advanced tech stack https://adjoe.io/company/adtech-stack/, powerful financial backing from Bertelsmann, and a long-term growth mindset, adjoe is part of the applike group https://applike-group.com/ ecosystem. A hub of disruption and thought leadership in the app economy, with a driven and dynamic workforce to be reckoned with. Be the next tech-driven, ambitious talent to join our growing teams! Meet Your Team: Demand Partnership It’s not just about who you know. It’s about what you know about who you know. The Demand Partnerships team connects premium advertisers with the very users who will love their mobile games. By focusing on building lasting advertiser relationships, this team drives our ad platform forward, ensuring apps reach and exceed their growth goals and connecting them with hundreds of millions of monthly active users. Whether that’s with our new programmatic ad platform or Playtime ad unit. What you will do: - You will identify and evaluate potential advertisers to adopt adjoe’s UA solution - You will onboard and maintain strong relationships with new advertisers - You will monitor and track sales activities, pipeline status, and KPIs of new partners - You will develop a compelling storyline and pitch presentation for prospects - You will attend conferences and meet potential partners - You will work cross-functionally to help internal and external stakeholders reach company goals Who you are: - You have 3+ years of Business Development experience in ad tech space - You have an understanding of ad tech KPIs - You have a strong and maintained network of developers - You have a strong network and understanding of the mobile programmatic ecosystem - You are organized, methodical with good communication skills and a consultative approach - You are a team player and ability to adapt to a growing company - You have great verbal and written communication skills in English - You are an expert in Gsuite and have experience using Salesforce - You have a can-do “make it happen” attitude - You are a self-starter with a strong work ethic Fuel for the Journey: Benefits to Support Your Ambitions - Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skillset and achieve your career goals. - Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home. - Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP). - Never-Go-Hungry: Graze on regular company and team lunches, free breakfasts, and a selection of free snacks and drinks. - Thrive Where You Work: Enjoy the Alster lake view from our central office with top-notch equipment and fun open spaces. - Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too. We welcome applications from people who will contribute to the diversity of our company. We welcome applications from people who will contribute to the diversity of our company.