Вакансии

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 role: As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need. In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical<> GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most. This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better. Responsibilities: Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge Travel occasionally to customer sites for workshops, implementation support, and research collaboration You may be a good fit if you have: 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed Strong technical aptitude with strong proficiency in at least one programming language Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems Experience designing evals, building prototypes, or developing technical enablement for complex products The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: $300,000 — $400,000 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 We are looking for a Director, Technical Revenue Accounting to join our Accounting Team. In this role, you will own the company’s most complex ASC 606 technical positions, lead the revenue accounting memo portfolio, and serve as the senior accounting decision-maker for new product revenue recognition treatments, non-standard deal structures, and partnership / marketplace go-to-market initiatives. You will partner directly with Deal Desk, Product, Legal, and Partnership leadership and set the technical revenue policy direction for the company! If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative company, come join us in our mission to build cutting-edge, safe AI. Key responsibilities Own the company’s ASC 606 technical accounting memo portfolio — authoring and reviewing position papers on the most complex and judgment-intensive revenue recognition scenarios, including the SSP study Lead the technical revenue assessment for all new product offerings (NPI) and programs, serving as the accounting decision-maker on performance obligation identification, SSP evaluation, and contract modification frameworks, and providing authoritative guidance to Product, Pricing, and GTM cross-functional teams Serve as the senior Revenue Accounting partner to Deal Desk, Sales, and Legal — structuring non-standard deal terms, and providing real-time revenue recognition guidance on the company’s largest and most strategic commercial arrangements Provide technical accounting guidance on partnership and marketplace arrangements for cloud third-party channels, including principal-vs-agent determinations, and revenue-share / co-sell economics Own key accounting processes such as SSP analysis and related allocations, contractual credit amortization, reseller/partner channel incentives and rebates, footnote disclosures etc. Own the revenue contract review framework, including ASC 606 checklists, position papers, and escalation paths, ensuring revenue recognition compliance scales with deal volume Lead technical research initiatives on emerging revenue recognition issues and present recommendations to the Controller Translate complex technical accounting requirements into actionable business guidance for non-accounting stakeholders Review revenue-related month end close journal entries and flux analysis Drive process improvement and revenue system implementation projects, including scoping, design sign-off, and UAT ownership Minimum qualifications Have a track record of authoring technical accounting memos on complex, judgment-intensive revenue arrangements Have strong knowledge of ASC 606 with experience in performance obligation analysis, standalone selling prices, contract modification accounting, considerations payable to a customer, principal versus agent analysis, material rights, and variable consideration treatment Ability to articulate complex accounting positions clearly, and proactively conduct technical accounting research to identify emerging revenue recognition challenges Have hands-on experience with revenue recognition tools (e.g., Workday Financial Management, Zuora RevPro) Have SQL proficiency for querying and analyzing large revenue and contract datasets Have proven ability to lead cross-functional workstreams across Deal Desk, Product, and Partnership teams and drive results Have a demonstrated ability to thrive in fast-paced, ambiguous environments Preferred qualifications Have 14+ years of progressive accounting experience, with extensive expertise in ASC 606 implementation and complex revenue recognition scenarios, including 4+ years in a technical revenue leadership or managerial role A Bachelor's degree in Accounting or Finance; CPA required with demonstrated technical accounting expertise Big 4 technical accounting / national office background combined with industry experience Experience with technical accounting advisory work, including revenue recognition consulting or implementation experience Experience with cloud marketplace, reseller, or channel partnership revenue arrangements Experience working with consumption-based and subscription-based revenue models Knowledge of AI/ML, SaaS and technology sector revenue recognition complexities 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: $230,000 — $300,000 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: Paris; Amsterdam; Singapore; London; Lausanne Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints. This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others. Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply. WHAT YOU WILL DO - Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”. - Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment. - Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility. - Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions. - Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale) - Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …) - Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements. ABOUT YOU - Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership). - Hands‑on experience with PyTorch, JAX, or similar. - Strong systems and infrastructure fundamentals. - Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines. - Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures). - Clear communication with technical and non‑technical stakeholders. - High agency, low ego, and comfort in fast‑moving, under‑specified environments. NICE TO HAVE - Distributed training experience (FSDP, DeepSpeed, Megatron, etc.). - Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.). - Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines. - Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation. - Open‑source contributions, publications, or widely used internal tooling. - Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets. - Ability to identify bottlenecks across the stack and drive improvements from first principles. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: 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 role Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet. You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next. Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program and our rare disease research grants . What you'll do Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with technical domain experts and translating what you learn Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Background in chemistry, biology, physics, or another science Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive for Digital Native Business based in Seoul, you'll drive the adoption of safe, frontier AI technology across Korea's fastest-moving technology companies. This is a greenfield, new business role: you'll build your territory from the ground up, owning the full sales cycle from first outbound touch to close across Korea's internet platforms, gaming, e-commerce, SaaS, fintech, and media companies. You'll work directly with founders, technical leaders, and product teams to help them build with Anthropic's AI as a core part of their products and operations. Key responsibilities Own and exceed revenue targets by winning net-new logos across Korea's digital native companies, including internet platforms, gaming, e-commerce, SaaS, fintech, and media Build a greenfield territory from scratch: develop your own account list, generate pipeline through self-sourced outbound prospecting, and create repeatable plays for landing new accounts Run fast, consultative sales cycles with founders, CTOs, CPOs, VPs of Engineering, and Heads of AI, positioning Claude as the foundation for AI-powered products and competitive differentiation Land new accounts quickly and set them up for expansion, working closely with technical buyers and developer teams who evaluate hands-on Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to win technical evaluations and accelerate time to production for customers building on our models Preferred qualifications 8+ years of sales experience in Korea with a clear track record as a hunter: consistently winning net-new logos and generating the majority of your own pipeline through outbound prospecting Experience selling to digital native, internet, or high-growth technology companies, and comfort engaging technical buyers such as engineering and product leaders, not just business stakeholders A track record of opening greenfield territories or segments with little existing brand presence, building pipeline and closing revenue from zero Proven experience exceeding revenue targets driven primarily by new business, with the ability to manage high-velocity cycles alongside larger strategic deals Strong commercial instincts for usage-based and consumption models, and the ability to connect product adoption to revenue growth A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to territory and account prioritization combined with high-energy, persistent execution A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit Excellent communication skills in both Korean and English 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: 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 is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment. As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it. Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders. Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production. Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale. Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning. Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions. Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. Travel to customer sites (25–50% expected). You May Be a Good Fit If You Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs. Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. 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: $240,000 — $450,000 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: Belgrade, Serbia; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland We are looking for a Senior Snowflake Specialist who can assess a broader data ecosystem, define strategic initiatives, and provide hands on guidance for platform architecture and optimization. You will work in a stakeholder facing role with the opportunity to lead discovery activities, challenge assumptions, influence technical direction, and present recommendations to leadership. The client is headquartered in California, USA. The engagement starts with a full time onsite period of 4 to 8 weeks in California, followed by a part time commitment of approximately 20 hours per week. Candidates should have a valid B1/B2 or Tourist visa, as a work visa is not required for this engagement. Travel includes the initial onsite period in California, with additional travel to client locations, including Europe, potentially required based on project needs. This is a senior level position designed for experienced professionals who can combine strategic consulting with hands on technical leadership. You will contribute to a data platform initiative centered on Snowflake, data lake or lakehouse architecture, and strategic platform improvement. The project also includes stakeholder discovery, leadership presentations, and defining practical AI and GenAI initiatives across the broader data ecosystem. Project nickname: Data Platform Strategy Assess the overall data ecosystem and data platform strategy Run discovery activities with stakeholders Challenge existing approaches and present initiatives to leadership Propose concrete initiatives for platform improvement Support Snowflake architecture decisions Improve platform scaling, governance, and cost and performance optimization Contribute to data lake or lakehouse design Contribute to data modelling and data quality practices Apply AI and GenAI capabilities on top of the data platform Deep hands on Snowflake platform expertise Experience with Snowflake architecture, scaling, cost and performance optimization, best practices, and governance Experience with data platform architecture Experience with data lake or lakehouse design Experience with data modelling and data quality Practical experience applying AI or GenAI on top of a data platform Strong communication and stakeholder facing skills Ability to run discovery workshops or sessions Ability to challenge stakeholders constructively and present initiatives to leadership Strategic mindset to assess a data ecosystem and propose concrete initiatives 3 month checkpoint on delivered impact

Location: New York City, NY; 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 Role: As a Scale Growth Account Executive at Anthropic, you'll own a portfolio of roughly 6-8 of our most strategic and fastest-scaling AI-native startup customers, driving expansion and retention by helping them harness the transformative potential of safe, frontier AI. These are companies that build on Anthropic's models and are now scaling quickly — your job is to grow with them. You'll leverage your consultative sales expertise to expand revenue across complex, multi-stakeholder accounts while becoming a trusted strategic advisor to founders and executive teams, helping them expand their AI capabilities and unlock new use cases. Working closely with GTM, Applied AI, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong commercial acumen with executive relationship management skills, focusing on growing large accounts through strategic expansion while maintaining high retention rates in a competitive market. By driving expanded deployment of Anthropic's products at the companies defining what AI-native looks like, you will help them scale their AI capabilities while advancing its safe and ethical development. Responsibilities: Drive revenue growth through strategic account expansion and renewals across a focused portfolio (~6-8) of Anthropic's largest AI-native startup customers. Own the full sales cycle for upsell and renewal opportunities while maintaining strong retention rates Build and maintain trusted relationships with founders, board members, and executive stakeholders, as well as the technical leaders (CTO, VP Engineering, Head of AI) who own model decisions Lead strategic account planning including executive business reviews, health checks, usage and forecast reviews, and renewal negotiations Partner with customers to identify new use cases, workloads, and products that expand their AI capabilities with Anthropic Navigate complex commercial conversations — multi-stakeholder deals, evolving usage patterns, and competitive evaluations — in partnership with Applied AI and product teams Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap Develop and execute account strategies that align Anthropic's solutions with customer business objectives Proactively identify and mitigate retention and competitive risks while maintaining high customer satisfaction Must Have Qualifications: 11+ years of experience in sales or account management roles, with a proven track record of growing large, complex accounts and exceeding retention and expansion targets Success as a strategic business advisor to founders and executives, deeply understanding fast-scaling startup needs and creating solutions that align with their vision Experience managing complex, multi-stakeholder sales cycles, working with technical stakeholders, and negotiating strategic deals Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to founders and C-level executives Analytical approach to understanding customer needs and usage combined with creative solutions to drive expansion A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly Experience running executive business reviews and managing executive relationships Track record of consistently meeting or exceeding quota in fast-paced environments Preferred Qualifications: Experience selling or expanding usage- or consumption-based API, infrastructure, or developer-platform products Experience selling to technical founders, CTOs, and engineering leaders at AI-native or developer-first companies Fluency in the LLM/AI market — model providers, capabilities, pricing models, and how AI-native companies evaluate and switch between them Experience structuring larger commercial agreements (usage commitments, multi-year terms, enterprise contract terms) with fast-growing customers 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 — $380,000 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 role As a member of the Research Legal team, you'll advise on legal topics across the full lifecycle of building and studying frontier AI models: data acquisition and use, training pipelines, model evaluation and launch, and alignment, interpretability, model welfare, societal impacts, and beneficial deployments research, as well as Responsible Scaling Policy work on biological risk. You'll be a subject matter expert on copyright, privacy, data use, and AI regulation (including the EU AI Act, U.S. state laws, and emerging global rules), and will work directly with researchers on questions that often have no settled answer. The ideal candidate will have navigated complex legal questions at the intersection of machine learning, data, and academic research in a fast-moving technical environment, with the judgment to work at the cutting edge of AI development while effectively solving issues, enabling innovation, and calibrating risk. This is a uniquely positioned role touching many different facets of AI, presenting the opportunity to be a leader in AI legal thought. Key responsibilities Advise research and data teams on data sourcing, licensing, partnerships, and use, and help shape Anthropic's data acquisition and use strategy as laws and markets evolve Help coordinate regulatory readiness and model launches, review model documentation and system cards, respond to regulatory inquiries, and advise on legal questions for pre-release and internal models Support the Responsible Scaling Policy as applied to biological and chemical risk, including capability evaluations, tiered access for biosecurity researchers, and dual-use research questions Counsel the Societal Impacts, Economic, Alignment, Interpretability, Model Welfare, and Beneficial Deployments teams on research design, data collection and sharing, external collaborations, program launches, and publication review Monitor global AI, privacy, copyright, and export-control developments and translate them into practical internal guidance and policy, working closely with Product, Policy, and other legal stakeholders Engage with academics, regulators, industry groups, and civil society to help develop norms and best practices for responsible AI development and data governance 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 (California or New York preferred) Practical, creative problem-solving: the ability to apply legal requirements to fast-changing, deeply technical work, with an understanding that the goal is to enable responsible research and product development in a risk-calibrated environment Exceptional communication and analytical skills, technical fluency, and the ability to navigate ambiguous and uncharted legal territory, turning complex technical and legal analysis into advice people can act on Familiarity and comfort advising on the EU AI Act, U.S. legislation and AI frameworks, GDPR/CCPA, and comparable regimes globally, sometimes where no AI-specific legislation exists Interest in thinking deeply about the impact of AI on society and how to make humanity's transition to the AI age as beneficial as possible Sound judgment about when to be flexible and when to hold a line; comfort making high-stakes calls in unsettled areas and outside your core expertise; and a low-ego, collaborative approach, doing the work needed rather than delegating it or being territorial Preferred qualifications At least 8 years of legal experience advising technology companies on copyright, privacy, data, AI regulation, and related product and policy issues, ideally including time in-house and work on AI/ML products or services Experience engaging directly with regulators or standards bodies Working technical literacy: enough familiarity with how models are trained, evaluated, and deployed to ask researchers and engineers the right questions and spot the legal issues in a technical design An academic or publishing background, or experience with copyright, open-source, and data licensing Experience with biosecurity, dual-use research, export controls, or safety frameworks such as Anthropic's Responsible Scaling Policy Experience advising on academic or industry research, including publications, external collaborations, data sharing, or human-subjects and consent questions, ideally in AI or an adjacent technical field Role-specific policy: We prefer candidates who can work from our San Francisco or New York office at least 3 days a week, but may consider other locations for the right candidate. 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: Madrid, Spain; Barcelona, Spain Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ OPERATIONS AT ALAN The Operations Community’s core responsibilities is to deliver at scale our insurance and health services : we build our platform and operational capabilities and run our processes to guarantee delight and efficiency. As we anchor our Insurance position, diversify our offering with health and well-being related services in 4 different countries (France, Belgium, Spain and Canada), our operations are increasingly complex and our challenges ahead have never been as exciting! Being an Ops at Alan means joining a team of 50+ talented, committed and passionate Ops across our countries, with a lot of interactions with Engineering, Product, Care and many other teams at Alan. We have a mix of Builder profiles, focused on (re)designing and implementing our processes and Operations Experts who deliver those on a daily basis while improving them. We want team members to deliver excellence to our companies and members and be ready to disrupt (and not only upgrade) the way we traditionally think about insurance or healthcare services.   Want to learn more about Ops at Alan? Read how we work and hire https://app.notion.com/p/alaninsurance/Product-Ops-builders-and-coordinators-Alan-your-hiring-process-3021426e8be7815cb164d629cfe3b455 and watch our team in action https://www.youtube.com/playlist?list=PL643LyZcrKMDaW7cW0_GytXy5VkaqTOU6   🌍 FOR THIS ROLE, YOU NEED TO BE BASED IN FRANCE, BELGIUM OR SPAIN 🌍   The Operations Expert works on a specific subset of services we deliver (eg. claim reimbursement, fraud, clinic to name a few) . Their core responsibilities (+- 70/80% of the time) are to: - Run our Insurance or Health services processes - that's why we call them Ops Runners internally 😉 - Ensure the day-to-day follow up and monitoring of our operations - Flag risks and opportunities In details, your missions are: - Operating our processes: performing tasks like invoicing or claims treatment, growing and managing our network of providers, supporting internal teams (live and through documentation) - Contributing to the definition & owning the best monitoring scheme to track volumes/efficiency/SLAs, and identify risks and areas of improvement, internally or with our service providers - Supervising partnerships (e.g. teleconsultation, claim operators), participating in the negotiation rounds, daily communication to ensure business continuity - Performing controls on our daily operations to make sure the correct decisions were made and to identify training needs (internally as well as externally) - Escalating feedback, helping to prioritise and supporting initiatives to make our processes and services more delightful and efficient Next to running and monitoring our operations, you implement continuous improvements to our processes (+-20/30% of the time). This can be in a variety of ways, e.g. working with product teams to automate certain processes, enhancing our external communication, auditing our processes, automating some process steps using automation tools, …   ⭐️ OUR RUN ORGANISATION ⭐️ Our Operations Experts are organized in pools (3-7 runners) who are collectively responsible for running their scope. Examples of topics are: Alan therapy: members can book a therapy session with psychologists. You maintain smooth relationships with our psychologists, ensure therapy demand matches the supply and contribute to several steps of their lifecycle at Alan (hiring, onboarding, invoicing, supporting booking management etc). Claims: We provide a best-in-class claims experience, including our own optic care service. You treat claims and assist in decisions regarding our coverage. Additionally, you monitor the performance of external service providers to meet SLAs & perform quality controls. You ensure glasses get delivered on time, member satisfaction is high, our frame collection is attractive, collaboration with opticians is smooth and efficient, …. Fraud: We run checks on claims submitted by our members, and build new ways of preventing fraud attempts. You investigate suspicious claims, prevent fraudulent payments or recover when we paid fraudulent claims. Set up: We provide best-in-class experience to our Customers : a smooth on/offboarding of their employees and a seamless invoicing or billing. To do so, we continuously control & improve the quality of our processes : ensuring we have consistent information for invoicing, unlocking employee invite/removals in case of issue and supporting admin in case of payment issue or bankruptcy. Note: We look for profiles able to embrace any challenge and jump in any pool ! Depending on Alan needs (and personal interests), an Operations Expert will join in a pool and can change and explore new scopes after some time. Do not hesitate to ask more concrete examples to the Operations Team Members you’ll meet during the process so they can share about their own scope.   ⭐️ EXPERIENCE ⭐️ For this opportunity, we are aiming to hire within the A2-B1 level range https://alan.com/en/careers/a/salary-equity. Since the scope of our Ops Expert role is extremely varied, we are open to candidates from different backgrounds : you could be a good fit for the Operations team at Alan if, for example, you: - Operated processes and services especially for companies during the scale up stage or in industrial/logistic industries - Worked in Support functions (Customer Support, People Operations etc) - Had a Customer facing Commercial experience, e.g. account manager or Customer Success Communications, such as Social Media, Internal/ External Communications - Handled event coordination   ⭐️ SKILLS ⭐️ - Passionate about delivering & optimizing top notch operations: not scared to get your hands dirty to get into technical processes, making them clear and delightful for our operators and members - A keen problem-solver and challenger with a dig deep mindset: what drives you is member and customer satisfaction ! - Analytics skills, to be able to dive into our data - Highly organised with exceptional follow-up skills, with strong attention to details - Strong and structured in written and verbal communication in English as well as in French or Dutch - Able to work and learn independently in a fast-paced environment - Adaptable: you show flexibility and a strong ability to adapt to variable situations - It’s even better if you have experience in the insurance or the healthcare industry   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: New York Office Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Head of Legal. Taktile's legal function already has real groundwork in place: core contract templates exist and two fractional GCs covering the US and EU have kept the essentials running and structured. That foundation is what makes this such a compelling opportunity: you're not starting from a blank page, you're taking something well-started and building it into the legal team and function that matches where Taktile is headed next. As Taktile's first dedicated in-house legal leader, you'll own that next chapter: deciding what scales as-is, what needs to evolve, and when and how to build out a team as the company's growth demands it. You'll work closely with the CEO and leadership team as a genuine strategic partner, with a direct line of sight into the biggest decisions the company makes, including deal structure, new markets, and product risk, while also staying close enough to the ground to draft the NDA, review the vendor contract, and answer the HR question yourself. That combination is what makes this role compelling: you get the influence of a strategic leadership seat and the satisfaction of tangible, immediate impact, without months of layers between a decision and getting it done. If you've been waiting for the chance to take a legal function with real momentum and shape what it becomes, including designing the team around it, this is that chance. What you'll do Design the function's next chapter. Build on the existing foundation of templates, the in-progress Ironclad rollout, and the structure the US and EU fractional GCs have put in place, then decide what evolves, what gets automated, and what a growing team should own versus what stays with outside counsel. You set the roadmap for where legal at Taktile goes from here. Build and lead the team. As Taktile grows, legal needs to grow with it. You'll make the call on when and who to hire, and design a team structure that fits Taktile's actual trajectory rather than a generic org chart. Own commercial contracting. Draft, review, and negotiate customer agreements (including with banks and financial institutions, which come with their own procurement and vendor-risk expectations), vendor contracts, partnership agreements, and NDAs. Refine the existing templates and playbooks so the business can increasingly self-serve on lower-risk paper, freeing you up for the work only you can do. Help define how AI decisioning gets regulated. Work with Taktile's compliance function and outside regulatory counsel on how banking, lending, and AI/model-risk regulations intersect with the product and with regulated customers. This is a genuinely emerging area where your read on the landscape will directly shape company strategy. Support a growing global team. Taktile operates through a US LLC, a German GmbH, a UK Ltd, a Romanian SRL, and LATAM contractors under the LLC. Partner with HR on offer letters, policies, and employment questions across these entities, bringing in local counsel where it adds the most value. Advise leadership on risk and strategy. Be a real business partner to the CEO and leadership team, helping them see around corners on legal risk, weigh in on deal structure, and think through the legal implications of new products, partnerships, and markets as Taktile grows. Set the company's data privacy posture. Own the company's baseline data privacy program (including GDPR given the European entities) and coordinate with specialized privacy counsel on more complex questions. Stay close to the business. Answer the “can we do this?” questions from sales, HR, and product as they come up. You'll always know exactly what's happening across the company, because you're the person everyone comes to. What we're looking for - 8+ years of relevant legal experience, including meaningful time in-house, ideally with some exposure to AI, fintech, financial services, SaaS, or another regulated/high-growth environment. - Direct experience building or significantly scaling a legal function and team. You've taken a function from an early or lean stage to something more structured and can point to what you built. - Strong commercial contract drafting and negotiation skills; comfortable being the primary negotiator on customer and vendor paper. - Working knowledge of, or genuine excitement to quickly build, expertise in financial services regulatory considerations relevant to AI-driven decisioning (credit, lending, model risk, fair lending concepts). - Experience supporting employment matters across multiple jurisdictions or entities, or a track record of picking up new jurisdictions quickly and knowing when to bring in local counsel. - JD and active bar membership in at least one US state. - An entrepreneurial, high-ownership mindset, energized by taking a function with a real foundation and building it into the next thing, including hiring and leading a team. - Sound judgment about when to solve something yourself versus when to route it to outside counsel, and confidence managing that outside counsel relationship as a true business owner would. What success looks like in the first year You've taken the existing foundation of templates and the structure the fractional GCs built, and evolved it into a function that reflects your judgment: a clearer contracting process, refined guardrails, and a concrete point of view on the legal team Taktile needs next, including your first hire or a clear plan for one. Leadership treats you as a core strategic voice in the room for major decisions. And the day-to-day runs smoothly on your watch, with NDAs turned around quickly, offer letters correct and on time, and routine questions answered fast: proof that you can build for the long term while nailing the fundamentals every single day. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a partnerships leader to own the tri-party motion for public sector and nonprofit partnerships selling through AWS. Public sector and nonprofit-focused partners are how Claude reaches government agencies, educational institutions, and mission-driven organizations at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems. In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's public sector partner organization and the AWS practices inside the partners that serve government and nonprofit customers. You will define how Claude is positioned inside AWS public sector partner programs, design the commercial mechanics that let partners transact and get rewarded through procurement vehicles and contract structures specific to this segment, and build the joint plays that partners take to their customers. This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don't always line up. You will help shape how frontier AI technology reaches the public sector and nonprofit community through the partner ecosystem, including in classified environments where required. You will report directly to the Head of AWS GTM Partnerships and work closely with our Global Public Sector Leader. Key responsibilities Develop and execute the GTM strategy for our public sector and nonprofit partnerships through AWS, including co-selling motions, joint business plans, events, and segment-specific plays across federal, state and local, education, and nonprofit Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, procurement and contract vehicle alignment, and incentives Build and maintain executive-level relationships across AWS's public sector partner organization and across partner AWS practice leadership Work with partners to develop repeatable, mission-specific solutions built on Claude, and help them build the delivery capability to take those solutions to public sector and nonprofit customers Partner cross-functionally with Anthropic's alliances, public sector sales, partner marketing, policy, and regional cloud teams to keep the motion consistent while regions and segments execute locally Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting Provide strategic market intelligence and competitive insights on the public sector and nonprofit partner ecosystem to inform product and commercial strategy Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there Minimum qualifications Active security clearance (TS/SCI required) with ability to discuss capabilities in classified environments Enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems serving public sector or nonprofit customers Proven track record of building and scaling partnerships with public sector-focused systems integrators, resellers, or channel partners Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it Deep understanding of how cloud and partner field organizations operate in the public sector, including procurement processes, contract vehicles, and the incentives that drive seller and partner behavior Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it Demonstrated ability to build credibility with and influence senior stakeholders Excellence in strategic planning, business operations, and program management Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin Experience working with technical products and translating complex capabilities into business value Ability to travel up to 25% of the time Preferred qualifications 12+ years of enterprise partnerships, alliances, or business development experience Previous experience working with AWS or another hyperscaler's public sector partner organization Working knowledge of public sector partner operating models, including practice structures, delivery economics, and how services and contract revenue drive partner decisions Familiarity with government compliance and authorization frameworks (such as FedRAMP, IL levels, and StateRAMP) and how they shape partner-led deployments Experience working with nonprofit, higher education, or philanthropic organizations and the funding dynamics that shape their technology decisions Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue Prior experience in management consulting or federal program management 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: $365,000 — $425,000 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: United Arab Emirates; Cyprus; Poland; Romania; United Kingdom; Georgia Reporting Line Reports directly to the CEO . Leads a compliance function that includes the Group Paralegal (direct report) and all compliance personnel embedded across the CXM Group of Companies. Location Remote (EU timezone preferred) This is a fully remote role. EU timezone alignment is preferred to ensure effective overlap with key offices across the CXM Group. Occasional travel may be required for regulator meetings and visits to regional teams. General Purpose CXM Group is building a compliance architecture across six business lines and multiple jurisdictions simultaneously — this role owns that build. The group is at an inflection point: multiple licensing processes are running in parallel, including a Norwegian crypto exchange being structured for MiCA passporting, a South African broker-dealer acquisition, a VARA application in the UAE, and prospective acquisitions in LATAM and Southeast Asia. The CCO exists to hold this together — ensuring that a fast-moving, multi-asset, multi-jurisdictional expansion programme stays regulatorily sound, that new entities are acquired and integrated without compliance exposure, and that the group's licensing pipeline converts into durable, operating authorisations across FX, CFDs, crypto, prediction markets, prop trading, and education. This is a role for someone who has operated across tier-one and emerging-market regimes simultaneously and has the regulator-facing credibility to show for it. Specific Objectives Build and deploy a group-wide compliance reporting framework Within the first three months, establish a structured compliance reporting framework covering all regulated entities across the CXM Group — including defined reporting lines, cadences, and escalation paths that give the CEO and board clear, timely visibility of the group's regulatory posture. Create an AI-enabled legal document database Within six months, deliver a searchable, indexed, and cross-referenced repository of all legal documentation across the group — structured for AI-assisted retrieval so that agreements, licences, policies, and regulatory correspondence can be surfaced and compared at speed. Establish and embed internal legal SLAs Within the first three months, define and operationalise service-level agreements for all internal legal workflows: standard contract reviews turned in 24 hours; new contract drafting completed within 48 hours; policy creation on agreed timelines. Compliance with these SLAs to be tracked and reported. Deploy legal and compliance risk monitoring tools Within six months, implement risk monitoring tooling across all business verticals and target markets — covering FX, CFDs, crypto, prediction markets, prop trading, and education — providing structured, ongoing visibility of regulatory and legal risk exposure across the group. Drive the live licensing and acquisition pipeline to defined milestones Own delivery against the group's active regulatory and M&A programme: South African broker-dealer acquisition and VARA (UAE) licence obtained by Q3 2026; VARA application submitted by Q4 2026 and licence granted by Q3 2027; MiCA passporting for the Norwegian crypto exchange secured by Q2 2027; LATAM and Southeast Asia acquisition targets scoped and structured by Q1 2027. Key Activities Oversee group-wide legal and compliance communications Manage all inbound and outbound communications across the compliance and legal function — ensuring consistency of position, appropriate escalation, and clear audit trails across all CXM Group entities. Monitor brand, regulatory, and compliance risk Run ongoing monitoring of online brand exposure and regulatory risk signals across all business verticals and target markets, using dedicated tooling to surface issues before they become regulatory events. Research target markets and emerging regulatory requirements Conduct structured research on new and existing jurisdictions — tracking legislative developments, regulatory guidance, and enforcement trends across FX, CFDs, crypto, prediction markets, prop trading, and education to keep the group's risk exposure visible and current. Build and maintain reporting infrastructure with Ops and IT Work cross-functionally with Operations and IT to design, implement, and maintain the compliance reporting systems and dashboards needed to give leadership real-time visibility of the group's regulatory posture. Inventory, organise, and analyse all group legal agreements Own the end-to-end legal document function: audit existing agreements across all entities, build and maintain the AI-enabled document repository, and ensure all contracts are indexed, cross-referenced, and accessible for rapid retrieval. Manage regulatory relationships and respond to inquiries Serve as the primary point of contact for regulators across all jurisdictions — preparing responses, managing ongoing dialogue, and coordinating regulator visits or meetings with appropriate precision and consistency. Set and enforce contract throughput standards Define the SLA framework for all internal legal workflows — 24 hours for standard contract reviews, 48 hours for new contract drafting — and hold the Group Paralegal and compliance staff accountable for delivery against those standards. The CCO personally handles high-stakes, novel, or regulator-facing agreements; standard throughput runs through the team. Requirements Key Competences Two competences are non-negotiable (and typically take a decade of multi-jurisdictional work to build) — everything else can be ramped. If you don't have these, the rest of the profile doesn't matter. Non-negotiable Multi-jurisdictional regulatory knowledge Demonstrated command of tier-one regimes (CySEC, FCA, NFA, ASIC) and offshore/emerging-market frameworks (UAE, Mauritius, Seychelles, SVG, Cambodia), with working knowledge of MiCA and crypto licensing regimes globally. This is the core of the mandate — live deals are already in motion. Regulator-facing credibility Confidence and competence in direct regulator engagement — managing inquiries, coordinating responses, and representing the group's compliance posture with consistency across jurisdictions. The group has active regulator relationships that need an owner from day one. Strong advantage M&A and licensing fluency Ability to support acquisition structuring and entity integration from a compliance perspective — assessing regulatory exposure, coordinating with external counsel, and managing parallel licensing processes without dropping threads. AI-enabled legal operations Experience deploying AI tooling in legal workflows — document retrieval, contract review acceleration, risk monitoring — is a strong advantage. Candidates without a deployment track record must demonstrate a concrete plan for rapid adoption and the aptitude to execute it. Function leadership and SLA ownership Ability to set standards, delegate effectively, and hold a team accountable for throughput — running the contract and compliance function at scale without becoming the bottleneck. Personal involvement reserved for high-stakes, novel, or regulator-facing matters. Likely Current Job Chief Compliance Officer (multi-jurisdictional broker or crypto exchange) The closest equivalent — already holding a CCO title across FX, CFDs, or crypto at a group with multiple regulated entities and active regulator relationships. If your current seat is steady-state and you're ready to own a live build across six asset classes and a dozen jurisdictions, this is the step up. Head of Compliance (tier-one regulated broker) One level below CCO at a CySEC, FCA, or ASIC-regulated firm — strong regulatory depth, ready to move into group-level ownership. If you've hit the ceiling of what a single-jurisdiction, single-entity compliance role can teach you, this is where the complexity scales. Regulatory Affairs Director (fintech or crypto) Licensing and regulator-facing experience across multiple jurisdictions, possibly without the full compliance function remit yet. If you've been the technical expert behind the licensing programme and want to own the outcome end-to-end, this is the mandate. M&A Compliance Lead (financial services) Embedded in acquisition structuring and entity integration at a PE-backed or multi-entity financial services group. If you've been supporting deals from the compliance side and want a seat where M&A fluency is a core expectation rather than a secondary contribution, this is it. Senior Legal Counsel / Head of Legal (retail broker or crypto exchange) Contract-heavy, regulator-facing, with compliance responsibility baked in — a common feeder at smaller multi-jurisdictional groups where legal and compliance sit close together. If you've been carrying both functions informally and want a title and mandate that reflects the actual scope, this role makes it official. Benefits Employer Value Proposition Most CCO roles at this level are maintenance jobs — one regulator, one entity, one asset class. This one is not. Genuine architectural ownership across six asset classes and a dozen jurisdictions FX, CFDs, crypto, prediction markets, prop trading, and education — running simultaneously, across tier-one and emerging-market regimes, with live licensing and M&A deals already in motion. The compliance architecture doesn't exist yet at group level. You're building it. By the end of year one, you'll be able to say you built a multi-jurisdictional compliance architecture from scratch, closed live licensing deals across MiCA, VARA, and emerging markets simultaneously, and stood up an AI-enabled legal ops function before almost anyone in the segment has done it. That is a résumé paragraph no single-jurisdiction maintenance role can produce. Direct line to the CEO — and the mandate authority that comes with it This role reports directly to the CEO, not to a CLO or CFO. In a live licensing and M&A environment where decisions need to move fast, that access matters: no layers between compliance judgment and executive action. Many group-level CCO seats don't offer this — this one does. A live deal pipeline, not a hypothetical one MiCA passporting, VARA in the UAE, a South African broker-dealer acquisition, and prospective acquisitions in LATAM and Southeast Asia — these are active, not aspirational. You'll be in the room on deals that will define the group's regulatory footprint for the next decade. A first-mover opportunity in AI-enabled legal ops The mandate includes building the AI-enabled legal ops function at group level — document retrieval, contract throughput acceleration, risk monitoring — in a segment where almost nobody has done it yet at this scale. If you've started deploying AI in legal workflows and want a seat where that capability shapes the entire function, this is it. Group-level mandate, not a function-level seat Functional authority over compliance personnel across all CXM Group entities. The scope matches the title — and the title reflects the actual job. Fully remote No relocation. No commute. Occasional travel when it matters — regulator meetings, regional teams — and otherwise, work from wherever you do your best thinking. A genuinely uncommon opportunity Multi-asset, multi-jurisdictional, M&A-active, AI-forward, fully remote — and at a scale that is still early enough for you to leave a visible mark. Roles with this combination of complexity and ownership don't come up often. Compensation Compensation is bespoke to the hire. We'd rather understand what you bring to the table and have a direct conversation about expectations than anchor the discussion prematurely. The package will be competitive with the scope of the mandate and consist of base + bonus that is tied to hitting agreed KPIs. Assessment Process This process is designed to match the weight of the mandate. A seat with this scope — live licensing, active M&A, and a compliance architecture being built from scratch — deserves a rigorous hire, and we make no apology for that. Every stage is purposeful, and every interviewer is there for a reason. Group Legal Counsel — regulatory and legal technical depth across jurisdictions, plus practical M&A case questions to assess acquisition structuring judgment. CHRO — leadership style, function-building track record, and cultural alignment with CXM Group's operating style. CEO — strategic judgment, mandate clarity, and the candidate's vision for the compliance architecture they'd build and own. Board members — select Board involvement at final stage, focused on governance credibility and long-term fit at group level. The full process is designed to run within one month. We move quickly and respect that your time is finite — every stage is as much your opportunity to assess CXM as ours to assess you. If you take your next move as seriously as we take this hire, that's exactly the kind of conversation we want to have.

Location: Dubai, United Arab Emirates We are looking for a Structural Engineer to join our construction team in the UAE. The ideal candidate will have at least 2–3 years of hands-on structural engineering experience in the UAE , with strong knowledge of structural design, site execution, drawings, inspections and coordination with consultants and contractors. The candidate should be comfortable working in a construction/project environment and be able to coordinate effectively with site teams, consultants and other disciplines. Key Responsibilities Review and interpret structural drawings, specifications and technical documents. Monitor structural works at site to ensure compliance with approved drawings, specifications and project requirements. Coordinate with consultants, contractors and site teams regarding structural works. Conduct site inspections and identify structural issues or discrepancies. Review structural calculations, shop drawings and method statements where required. Coordinate structural design requirements with architectural, MEP and other disciplines. Provide technical support to the construction team during execution. Identify and resolve structural issues arising during construction. Monitor the quality and progress of structural works. Assist with preparation and review of RFIs, technical submissions and other project documentation. Ensure structural works are executed in accordance with applicable UAE standards, approved drawings and project specifications. Participate in meetings with consultants, contractors and project stakeholders. Maintain proper documentation and records related to structural works. Requirements Minimum 2 years of hands-on Structural Engineering experience in the UAE is mandatory. Bachelor's degree in Civil Engineering or Structural Engineering. Strong understanding of reinforced concrete and/or structural steel construction. Practical knowledge of structural drawings, detailing and site execution. Experience coordinating with consultants, contractors and site teams. Ability to identify and resolve structural issues on site. Good knowledge of construction methods and structural engineering principles. Proficiency in AutoCAD is required. Knowledge of structural analysis/design software such as ETABS, SAFE, STAAD.Pro or similar is preferred. Experience working on residential, commercial or high-rise construction projects in the UAE. Experience dealing with UAE consultants and authorities. Familiarity with UAE construction standards, specifications and approval procedures. UAE engineering accreditation/registration will be an advantage. Strong communication, coordination and problem-solving skills. Ability to work independently as well as part of a multidisciplinary construction team. Benefits Competitive salary based on qualifications and relevant UAE experience. Opportunity to work on challenging and diverse construction projects. Professional and collaborative working environment. Opportunities for career growth and professional development. Exposure to multidisciplinary project teams and leading construction practices. Company-provided employment visa and medical insurance, as applicable. Annual leave and other benefits in accordance with UAE Labour Law.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring our first Sydney-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day-to-day. Additionally, you’ll help us identify and close gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. Note: Specialists in Sydney will work 12pm to 8pm, Monday to Friday. Responsibilities Become an expert in all Anthropic products Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model and assisting consumer users at a rapid pace Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical “pager duty” during APAC hours to ensure 24/7 support for critical queries Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Suggest and drive improvements to increase user satisfaction through support processes, as well as own initiatives that increase efficiency and drive down contact rates Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you Have experience in providing technical product support within a second-tier, escalated, or priority support team Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g., CSAT, SLA, etc.) Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward Have experience contributing to the foundations of a support team. This is essential, highly valuable, but often unglamorous work, and it is particularly key for this role due to it being among the first Support hires in APAC/ANZ Are proficient at working in a technical environment and are interested in Anthropic’s products Possess a deep sense of ownership, and are excited to help us build our team! 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: Milwaukee, WI Project Engineer - Construction Location: Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations) Employment Type: Full-Time Work Environment: Primarily Site-Based (Long-Term Project Assignments) Help Deliver World-Class Mission-Critical Infrastructure The successful delivery of hyperscale data centers begins with transforming greenfield sites into fully developed mission-critical campuses through large-scale earthwork, utility installation, infrastructure development, logistics planning, and disciplined project execution. Project Engineers play a critical role in supporting project teams throughout this process, helping coordinate field operations, track project performance, manage documentation, support project controls, and ensure projects are executed safely, efficiently, and in alignment with customer expectations. At Michels Infrastructure Solutions (MIS) , we deliver some of North America's largest and most complex mission-critical and hyperscale infrastructure projects. As the general contracting and EPC delivery arm of Michels, MIS leverages the self-perform capabilities of the Michels Family of Companies to execute every phase of construction, from site development and utilities through power infrastructure, commissioning, and project closeout. Our teams support leading technology companies and developers by delivering the critical infrastructure required to power cloud computing, artificial intelligence, and digital connectivity. Known for tackling challenging scopes, aggressive schedules, and complex project environments, MIS combines the resources of a national EPC contractor with the accountability, agility, and hands-on leadership needed to successfully deliver world-class mission-critical facilities. Position Overview As a Project Engineer , you will assist in managing large-scale hyperscale data center and mission-critical infrastructure projects or independently manage smaller project scopes under the guidance of a Project Manager or Senior Project Manager. During the early phases of project execution, you will support large-scale site-development and infrastructure operations including land clearing, mass grading, earthwork, drainage systems, wet utilities, dry utilities, power infrastructure, logistics planning, and construction readiness activities. You will work closely with field leadership and project teams to help transform greenfield sites into fully developed mission-critical campuses. You will support all phases of project execution, including planning, scheduling, budgeting, procurement, contract administration, project controls, customer communication, quality management, and field coordination. This role serves as a key link between project management and field operations, helping ensure projects progress safely, efficiently, and in alignment with schedule, budget, and quality objectives. You will work closely with Project Managers, Superintendents, subcontractors, suppliers, customers, and internal stakeholders while developing the skills necessary to advance into future project leadership roles. Success requires strong organizational skills, attention to detail, communication abilities, and the capacity to make sound decisions in a fast-paced construction environment. Key Responsibilities Assist Project Managers with the successful execution of hyperscale data center and mission-critical infrastructure projects. Support planning and execution of large-scale site-development and infrastructure activities. Review project proposals, contracts, scopes of work, schedules, budgets, staffing requirements, and execution plans to develop a complete understanding of project requirements. Coordinate project activities with field leadership to help ensure projects remain on schedule and within budget. Support project scheduling, forecasting, budgeting, procurement, project controls, and resource planning activities. Assist with contract administration, customer communication, project documentation, and change management processes. Promote and maintain a strong culture of safety across all project activities. What You'll Do Assist in managing project execution from greenfield site development through final turnover and project closeout. Support field operations involving mass grading, earthwork, storm sewer, sanitary sewer, water systems, fire water systems, electrical ductbanks, telecommunications infrastructure, structural concrete, and power infrastructure. Coordinate with field supervision, subcontractors, suppliers, engineers, customers, and project stakeholders to support successful project delivery. Participate in the development and maintenance of project schedules, work plans, budgets, forecasts, staffing plans, logistics plans, and project tracking tools. Review project progress and assist with updating budgets, forecasts, schedules, production quantities, and performance metrics. Support contract administration activities including pay applications, RFIs, CORs, change orders, notices, project correspondence, and closeout documentation. Serve as a point of contact for customers, subcontractors, suppliers, and internal stakeholders regarding assigned project responsibilities. Participate in project coordination meetings, customer meetings, operational planning sessions, and schedule reviews. Assist project teams with procurement activities, subcontractor coordination, material tracking, equipment planning, and project controls processes. Support utility coordination, site-development phasing, logistics planning, and infrastructure sequencing efforts. Work collaboratively with estimating teams to develop historical performance data and support future project pursuits. Support QA/QC activities, testing procedures, inspections, commissioning support, utility turnover requirements, and project closeout efforts. Help identify project risks, develop solutions, and support successful project outcomes. Why Michels Infrastructure Solutions, Inc.? We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects. We provide exposure to every phase of project delivery, from greenfield site development and utility infrastructure through commissioning and turnover. We provide opportunities to work alongside experienced project and operations leaders executing some of the most significant infrastructure programs in North America. We are family owned and operated. We invest an average of $5,000 per employee per year in training and career development. We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth. We believe everyone is responsible for promoting safety, regardless of job title. We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors. We offer significant opportunities for advancement into Project Manager, Senior Project Manager, and Operations leadership roles. Comprehensive Benefits Package Health Insurance Dental Insurance Life Insurance Flexible Spending Accounts (FSA) Health Savings Account (HSA) Short-Term Disability Insurance Long-Term Disability Insurance 401(k) Retirement Plan Legal Plan Identity Theft Protection and Monitoring Plan Benefits may vary based on position and location. Why You? You like to surround yourself with dedicated, value-driven people. You relish new challenges and evolving technology. You cringe when you hear: “Because that's the way we've always done it.” You enjoy coordinating people, schedules, equipment, and resources to achieve successful outcomes. You enjoy solving complex field execution and infrastructure challenges. You are highly organized and capable of managing multiple priorities simultaneously. You take ownership of your work and thrive in a collaborative team environment. You want to learn from experienced project leaders and grow into a leadership role managing some of the most complex construction projects in North America. You want your efforts noticed and your contributions to have a meaningful impact. You want to work to make a difference. What It Takes Bachelor's degree and 3-5 years of related experience , or an equivalent combination of education and experience. Bachelor's degree in Construction Management, Civil Engineering, Engineering, Project Management, or a related field preferred. Experience supporting construction project management activities including scheduling, budgeting, forecasting, procurement, contract administration, project controls, and field coordination. Experience supporting heavy civil, site-development, utility, industrial, power, EPC, infrastructure, mission-critical, or data center construction projects preferred. Understanding of site-development construction activities including earthwork, underground utilities, drainage systems, utility coordination, logistics planning, and construction sequencing. Ability to review contracts, project scopes, schedules, budgets, and execution plans to support successful project delivery. Experience supporting customer communications, subcontractor management, project tracking, and project reporting activities. Understanding of construction scheduling, estimating, project controls, production tracking, and cost management principles. Experience with scheduling, estimating, and project controls software. Experience with Primavera P6, HCSS, B2W, Microsoft Project, Procore, Autodesk Construction Cloud, InEight, or similar platforms preferred. Experience supporting QA/QC processes, testing protocols, inspection activities, utility turnover requirements, and project closeout requirements. Strong verbal and written communication skills with the ability to effectively interact with customers, project teams, subcontractors, suppliers, and field personnel. Strong organizational, analytical, problem-solving, and decision-making skills. Ability to work independently while effectively collaborating with multidisciplinary project teams. Valid driver's license with an acceptable driving record. Ability to support long-term, site-based project assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily field-based, with the majority of work performed directly from active project sites. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards. Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career. #LI-AS1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Dakar, Senegal; Abidjan, Ivory Coast Workplace: Hybrid ⭐️ LA SANTÉ N'ATTEND PAS. Que les symptômes s’aggravent. Qu'il faille 6 mois avant d’obtenir un rendez-vous. Qu'on dépende d’un système de santé englué dans le papier et les processus manuels. Et pourtant, c’est ainsi que fonctionne aujourd’hui la santé en Afrique de l’Ouest. Vous attendez, jusqu’à ne plus pouvoir attendre. Nous existons pour mettre fin à cette attente. Née en 2022 au Sénégal, Tanel est la première assurance santé numérique d’Afrique de l’Ouest francophone. Elle opère au Sénégal et en Côte d’Ivoire. Nous transformons un marché dominé par les processus papier et des acteurs historiques fragmentés. Avec plus de 30 000 membres, un réseau de plus de 1 200 établissements de santé et de plus de 400 pharmacies, ainsi qu’un chiffre d'affaires multiplié par 7 en 2025, nous avons démontré une véritable adéquation entre notre produit et les besoins du marché, dans des pays qui avaient besoin d’une révolution. En 2026, Alan, le leader européen de l’assurance santé axée sur la prévention, avec plus de 950 M€ de CA et + 1 M de membres en France, en Belgique, en Espagne et au Canada, a acquis Tanel afin d’accélérer son expansion sur le continent africain. Ensemble, nous construisons l’assurance santé de référence en Afrique de l’Ouest francophone, avec l’ambition d’atteindre 200 M$ de CA d’ici 2030. NOUS RÉUNISSONS LE MEILLEUR DES DEUX MONDES : L’EXPERTISE DE TERRAIN DE TANEL, SES RELATIONS LOCALES ET LA CONFIANCE QU’ELLE A SU BÂTIR, AINSI QUE LA PLATEFORME TECHNOLOGIQUE DE POINTE D’ALAN, SON EXPERTISE ACTUARIELLE ET SON EXPÉRIENCE DU DÉPLOIEMENT DANS PLUSIEURS PAYS. 🤹 LES OPÉRATIONS CHEZ ALAN Les opérations sont une fonction stratégique. Nous définissons la vision, construisons les systèmes et pilotons les résultats qui rendent possible l’assurance santé digitale et le parcours de santé à grande échelle, sur des marchés où tout reste à inventer. L’équipe Opérations développe nos capacités opérationnelles et fait évoluer efficacement notre plateforme afin d’accompagner la croissance, d’optimiser les coûts et les ressources, et de diversifier nos produits. Nous avançons vite, avec un fort niveau de responsabilité, et sommes fiers de nous attaquer à des problèmes complexes. Nous recherchons des personnes prêtes à réinventer, et pas simplement améliorer, l’assurance et la santé en Afrique de l’Ouest francophone, afin de transformer l’expérience de nos membres et de nos clients entreprises. ⭐️ VOTRE MISSION ⭐️ La description du poste est simple : définir la vision, prendre les décisions difficiles, délivrer et assumer les résultats. En tant qu’Operations Builder, vous construirez et développerez l’infrastructure opérationnelle qui nous permettra de passer de 30 000 à plusieurs centaines de milliers de membres en Afrique de l’Ouest francophone. Vous prendrez en charge des problématiques critiques et ambiguës, avec un impact direct et visible sur nos membres au quotidien. EXEMPLES DE SUJETS À PRENDRE EN CHARGE - Construire un moteur de gestion des sinistres à grande échelle : automatiser l’analyse des dossiers, les remboursements et les recouvrements, développer une capacité de détection de la fraude et piloter l’ensemble du parcours, du rapprochement avec les prestataires à la satisfaction des membres. - Industrialiser la gestion du réseau de prestataires : structurer le pilotage de plus de 1 200 établissements et 400 pharmacies, améliorer la fiabilité des paiements, suivre la qualité et développer le réseau dans de nouveaux territoires. - Déployer les opérations dans de nouveaux pays : construire un modèle opérationnel à partir de zéro, intégrer les exigences réglementaires locales, adapter le produit et mettre en place les partenariats nécessaires. - Mettre en place le suivi de l’excellence opérationnelle : suivre les volumes, l’efficacité, les SLA et la performance financière, identifier les risques et déployer des améliorations continues grâce à l’IA et à l’automatisation. - Construire et développer l’équipe Operations : contribuer au recrutement, accompagner les profils plus juniors et définir les standards d’excellence opérationnelle chez Alan. ⭐️ PROFIL ET COMPÉTENCES ⭐️ - 7 à 10 ans d’expérience dans une scale-up ou un environnement entrepreneurial exigeant. - Maîtrise parfaite du français et un niveau d’anglais avancé. - Capacité à définir une vision et à la traduire en plan d’action concret, en intégrant les dimensions business, expérience client, réglementaire et financière. - Capacité à construire et optimiser des processus garantissant qualité, performance et évolutivité. - Goût pour la création de produits et services à partir de zéro, avec une approche centrée utilisateur et fondée sur les données. - Aisance dans les environnements très ambigus, sans mode opératoire préétabli. - Esprit pratique, rigueur et organisation, avec une capacité à entrer dans le détail. - Capacité à travailler avec des interlocuteurs variés : équipes locales, clients entreprises, professionnels de santé, régulateurs et siège Alan. Ce serait un plus - Expérience en assurance santé, mutuelle, structure IPM ou opérations de santé en Afrique de l’Ouest ou dans un autre marché émergent. - Connaissance de la zone réglementaire CIMA ou des marchés de l’assurance au Sénégal et en Côte d’Ivoire. - Maîtrise de SQL pour analyser les données de manière autonome. - Maîtrise de l’IA et de l’automatisation. ⭐️ CE QUE NOUS ATTENDONS AU COURS DES 12 PREMIERS MOIS ⭐️ - Prendre en charge un domaine opérationnel clé : sinistres, facturation, affiliation ou réseau de prestataires, et le rendre significativement plus efficace et évolutif. - Construire un cadre de suivi de la performance et identifier les principales pistes d’amélioration. - Contribuer au lancement des opérations d’Alan dans au moins un nouveau pays, en mettant en place les partenariats locaux et en adaptant notre modèle. - Participer au développement de l’équipe Operations, notamment au recrutement et à l’intégration de nouveaux membres. - Porter la perspective Operations dans la roadmap produit et la stratégie de l’entreprise. 🎁 AVANTAGES - Type de contrat : CDI - Sur site, dans nos bureaux de Dakar ou Abidjan, en collaboration étroite avec une équipe locale passionnée. - Tous les outils nécessaires pour donner le meilleur de vous-même. - Une assurance santé complète via Alan pour vous et votre famille. - Des opportunités d'apprentissage et de formation : une politique RH flexible, des budgets pour les livres et les conférences. - Pour ce poste, nous recrutons à temps plein, sur une fourchette comprise entre les niveaux 5 et 7 de notre grille https://app.notion.com/p/alaninsurance/Compensation-Alan-9a9fcf8b0cdf497a9c0ac89a11f048a3?source=copy_link (Pay scale B) 🎯 NOTE IMPORTANTE : NOUS RECRUTONS DES PERSONNES, PAS DES RÔLES Si cette opportunité vous intéresse mais que vous ne cochez pas toutes les cases, nous serions ravis d'échanger avec vous. Tout le monde devrait se sentir libre de postuler ! Rappelez-vous, ceci est un guide, pas une liste exhaustive. Nous serons ravis de recevoir votre candidature. 🔖 Consultez nos pages À propos d’Alan https://alan.com/about et Carrières https://alan.com/careers, ainsi que notre page Medium https://medium.com/alan, notre blog https://blog.alan.com/ et notre page Glassdoor https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm pour en savoir plus. #LI-DNP

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 Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools—so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling Drive fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Have hands-on experience building and operating large-scale observability or monitoring infrastructure Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Are comfortable digging below the application layer into the kernel, the network stack, or the hardware Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team Preferred qualifications 10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure Experience building or operating eBPF-based observability in production—tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering craft Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting 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: £325,000 — £390,000 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.