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Location: Lisbon, Portugal Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Barcelona, Spain; Madrid, Spain Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: London, United Kingdom Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

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 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development. The role focuses on clinical development, where we think Claude can help these partners today. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. Much of this work is drug repurposing: testing new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule. You'll advise and embed in partners' teams, building alongside their engineers, scientists and clinicians. Responsibilities Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks. Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step. Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research. You Might Be a Good Fit If You Have Hands-on clinical development experience: designing, running or analysing clinical trials, or assessing clinical evidence to decide which programmes go forward (for example due diligence or asset evaluation). Drug repurposing work as part of that is a strong plus, as is having contributed to a regulatory submission for a trial. Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it. Experience working directly with external partners or customers in a technical role. Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust. A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner. 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: £225,000 — £255,000 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. 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, France 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 at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to financial institutions across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with banks, insurance companies, and financial research institutions. You'll leverage your consultative sales expertise in the financial services sector to propel revenue growth while becoming a trusted partner to financial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the financial services sector. Navigate complex financial institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to financial services procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze financial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within financial departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for financial applications Navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from financial users and conveying financial market needs. Provide insights that strengthen our value proposition for financial services Continuously refine the financial services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 12+ years of B2B sales experience in financial services technology in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within financial institutions and securing strategic deals by understanding both technical requirements and financial use cases Demonstrated ability to navigate financial bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within financial services procurement frameworks and policies Proven experience exceeding revenue targets in the financial services sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various financial audiences, from analysts and researchers to senior executives Deep understanding of financial services buying cycles, decision-making processes, and key pain points A strategic, analytical approach to assessing the financial services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in financial services. You feel strongly about ensuring frontier AI systems are developed safely and ethically for financial use À propos du poste En tant qu'Enterprise Account Executive chez Anthropic, vous rejoindrez l'équipe fondatrice chargée de faire découvrir notre API de productivité IA de pointe et nos solutions SaaS aux institutions financières des marchés EMEA. Vous favoriserez l'adoption d'une IA de pointe et sûre en concluant des contrats stratégiques avec des banques, des compagnies d'assurance et des instituts de recherche financière. Vous mettrez à profit votre expertise de la vente consultative dans les services financiers pour accélérer la croissance du chiffre d'affaires. Vous nouerez aussi des relations de confiance avec les parties prenantes du secteur financier et les aiderez à intégrer et à déployer l'IA, tout en leur faisant découvrir l'étendue de ses capacités dans la banque, la recherche et l'administration. En collaboration avec les équipes GTM, Produit et Marketing, vous affinerez en continu notre proposition de valeur, notre méthodologie de vente et notre positionnement, afin qu'ils trouvent un écho auprès des instances décisionnelles du secteur financier. Le profil idéal a à cœur de développer de nouveaux segments de marché, de repérer les opportunités à fort potentiel et de mettre en œuvre les stratégies qui permettent de les saisir. En favorisant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en contribuant au développement éthique de l'IA. Responsabilités : Remporter de nouveaux contrats et générer du chiffre d'affaires pour Anthropic dans le secteur des services financiers. Vous orienter au sein d'institutions financières complexes pour atteindre les personnes décisionnaires clés, leur présenter nos services et les aider à réussir avec Anthropic. Vous piloterez l'intégralité du cycle de vente, de la première prise de contact à la signature. Concevoir et mettre en œuvre des stratégies commerciales innovantes, adaptées aux cycles d'achat et aux processus budgétaires des services financiers, afin d'atteindre et de dépasser les objectifs de chiffre d'affaires. Analyser le paysage, les tendances et les dynamiques des marchés financiers pour traduire les plans stratégiques en actions et campagnes commerciales ciblées. Piloter l'expansion sur le marché en identifiant de nouveaux cas d'usage au sein des directions financières, des centres de recherche et des services administratifs. Collaborer de manière transverse pour différencier nos offres destinées aux applications financières. Naviguer dans des écosystèmes complexes de parties prenantes (direction générale, services administratifs, DSI et services achats) afin de construire un consensus. Contribuer à la feuille de route et aux fonctionnalités produit en recueillant les retours des équipes utilisatrices du secteur financier et en relayant les besoins du marché. Apporter des éclairages qui renforcent notre proposition de valeur pour les services financiers. Affiner en continu la méthodologie de vente dédiée aux services financiers en intégrant les enseignements dans des playbooks, des modèles et des bonnes pratiques. Identifier des améliorations de processus qui optimisent la productivité et la cohérence commerciales. Ce poste pourrait vous correspondre si vous avez : Au moins 12 ans d'expérience en vente B2B dans les technologies pour les services financiers (SaaS, solutions API ou technologies émergentes) Une solide expérience de la gestion de cycles de vente complexes au sein d'institutions financières et de la conclusion de contrats stratégiques, fondée sur une compréhension fine des exigences techniques comme des cas d'usage financiers Une capacité avérée à naviguer dans les structures bureaucratiques et les processus d'achat du secteur financier, en construisant un consensus entre des parties prenantes variées, dont la direction, les services administratifs et les DSI Une vaste expérience de la négociation d'accords complexes dans le cadre des politiques et procédures d'achat des services financiers Une expérience confirmée du dépassement des objectifs de chiffre d'affaires dans les services financiers, grâce à une gestion efficace d'un pipeline et d'un processus de vente en constante évolution D'excellentes compétences en communication et l'aisance nécessaire pour présenter devant des publics financiers variés, des analystes et des équipes de recherche jusqu'aux membres de la direction Une connaissance approfondie des cycles d'achat, des processus de décision et des principales problématiques du secteur des services financiers Une approche stratégique et analytique du marché des services financiers, alliée à une exécution tactique et créative pour saisir les opportunités Un intérêt marqué pour les systèmes d'IA avancés et leurs applications dans les services financiers, voire une expérience dans ce domaine. Le développement sûr et éthique des systèmes d'IA de pointe pour les usages financiers vous tient particulièrement à cœur. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. As the Cloud Security Lead, you will shape the cloud and infrastructure security program that protects millions of developers, enables safe AI-assisted development, and ensures organizations can confidently bring our platform into enterprise environments. In this role, you will own cloud security across GCP (primary) and supplemental environments in AWS and Azure, as well as containerized systems, SaaS platforms, and our multi-tenant AI infrastructure. You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams. This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams. WHAT YOU’LL DO: CLOUD SECURITY ENGINEERING - Lead configuration hardening across GCP, with additional oversight of workloads and integrations running in AWS and Azure. - Own and optimize CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows. - Secure critical SaaS platforms, ensuring proper configurations, access controls, and engineering integrations. - Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services. - Enhance security across containerized and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity. - Assess secure logging configurations across cloud/SaaS providers, ensuring audit logs, retention, and routing meet monitoring and architecture needs. SECURE DEVELOPMENT & ARCHITECTURE ENABLEMENT - Partner with engineering teams to make services secure by default, embedding security into development workflows, CI/CD pipelines, and cloud-native deployments. CROSS-FUNCTIONAL RESPONSIBILITIES - Collaborate with Security Monitoring, Compliance/GRC, Architecture, DevOps, Platform Engineering, and ML Infrastructure. - Participate in communicating security advisories, best practices, and updates to Replit’s customers. - Support incident investigations as a cloud security subject-matter expert. REQUIRED SKILLS & EXPERIENCE: - 7+ years of experience in cloud engineering, with 3+ years in a senior or lead role. - Hands-on experience with CSPM tools (Wiz, Lacework, Prisma, Orca, SCC, etc.). - Deep expertise in GCP security (IAM, VPC, KMS, GKE, Cloud Logging). - Experience securing and governing SaaS platforms and identity integrations. - Operational experience with infrastructure vulnerability management across cloud and container environments. - Working knowledge of AWS and/or Azure security services and configurations. - Experience with container and Kubernetes security across GKE, EKS, or AKS. - Strong IaC security experience with Terraform, Pulumi, or similar tooling. - Familiarity with compliance standards (SOC 2, ISO 27001, PCI DSS). PREFERRED QUALIFICATIONS: - Experience supporting engineering teams in building secure-first, cloud-native or PaaS environments. - Background securing AI/ML pipelines, model-serving infrastructure, or developer platform services. - Experience in high-growth technology or cloud-native product companies. - Experience with securing AI/agentic systems and sensitive data pipelines. - Automation/scripting with Python. - Relevant certifications (e.g., GCP Professional Cloud Security Engineer, AWS/Azure security certs). WHAT WE VALUE: - Problem-solving mindset — Ability to break down complex security and operational challenges into clear engineering solutions. - Autonomy — Comfortable leading initiatives, collaborating effectively, and driving outcomes with minimal oversight. - Communication excellence — Able to translate deep technical concepts for engineers, executives, and enterprise customers. - Continuous learning — Passion for staying current with AI security, cloud-native advances, and emerging threats. - Automation-first approach — Belief in reducing operational toil and building scalable, self-healing systems. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Staff Applied Machine Learning Scientist to develop and continuously improve production-ready edge algorithms that transform sensor data into accurate, reliable, and real-time physiological insights. In this role, you will develop innovative approaches that combine deep learning, machine learning, and signal processing to deliver meaningful value to WHOOP members while optimizing for accuracy, latency, power, and scalability across wearable platforms. You will work closely with a cross-functional team of scientists, engineers, physiologists, and hardware experts to solve challenging problems at the intersection of wearable sensing, physiological modeling, and applied AI. You will develop novel modeling approaches, and own complex algorithmic problems from early development through production deployment and continuous improvement. Your work will directly shape the future of WHOOP’s sensing capabilities and our ability to provide members with accurate, personalized, and actionable insights into their health and performance. RESPONSIBILITIES: - Design advanced algorithms that combine signal processing, physiological modeling, machine learning, and deep learning for physiological time-series and multimodal sensor data, with a focus on accuracy, robustness, and generalization across diverse members and real-world conditions. - Own the development and continuous improvement of production-ready edge algorithms that transform multimodal sensor data into accurate, reliable, and real-time physiological insights. - Analyze large-scale wearable sensor datasets to identify performance gaps, characterize challenging conditions, and drive data-informed algorithm improvements. - Define rigorous evaluation methodologies, validation frameworks, and performance metrics to assess algorithms throughout development and deployment. - Optimize algorithms for embedded deployment, balancing accuracy with power, memory, latency, and compute constraints across current and future wearable platforms. - Set technical direction and establish best practices for modeling, experimentation, validation, and algorithm development across complex sensing problems. - Pursue ambiguous, high-impact technical initiatives from research and prototyping through validation, production deployment, monitoring, and continuous improvement. - Collaborate closely with Data Science, Firmware, Software, Hardware, Product, and domain experts to translate algorithmic innovations into production-ready capabilities and member-facing features. - Stay at the forefront of advances in deep learning, machine learning, signal processing, edge AI, and physiological sensing, and translate relevant innovations into differentiated WHOOP capabilities. QUALIFICATIONS: - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Machine Learning, Applied Mathematics, or a related quantitative field. - 7+ years of experience developing and deploying machine learning, deep learning, and/or signal processing algorithms for complex real-world applications. - Deep technical expertise in modern machine learning and deep learning methods, particularly for time-series and multimodal sensor data. - Strong foundation in digital and statistical signal processing, with the ability to combine classical signal processing techniques with modern learning-based approaches. - Strong proficiency in Python for algorithm development, experimentation, and large-scale data analysis; experience with C/C++ and embedded algorithm development is highly desirable. - Demonstrated ability to develop robust models using large, noisy, real-world datasets and achieve strong generalization across diverse conditions. - Experience designing rigorous experiments, defining performance metrics, performing error analysis, and translating findings into algorithm improvements. - Experience taking algorithms through the full development lifecycle, from research and prototyping through validation, deployment, monitoring, and continuous improvement. - Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make sound technical decisions. - Experience with physiological signals, wearable sensors, or biomedical sensing is highly desirable. - Experience optimizing algorithms for resource-constrained embedded or edge environments, including tradeoffs across accuracy, power, memory, compute, and latency, is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day work while maintaining high standards for quality and rigor. Join us in pushing the boundaries of wearable sensing, applied AI, and physiological intelligence and positively impacting people’s lives! This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE The Data team at WorkOS plays a central role on the company operations to ensure information and insights are accurate and available from any surface, whether that's a visualization tool or an agent's response, to accelerate company growth and scale. The team owns WorkOS's internal data platform end to end: ingestion, orchestration, the Snowflake warehouse, dbt transformations, governance and access controls. We also own the consumption layer: the reverse-ETL syncs that land data in Salesforce and Slack, the semantic views that agents query, the definitions that keep reporting consistent across the company, and the visualization tooling the company uses (ask us about Flashboards https://workos.com/blog/reporting-tool-with-no-editor). We run on an agent-first operating system: we are a lean team that moves fast, we document so agents can execute, and AI agents query the warehouse, run our runbooks, and open pull requests alongside us. We trust each other's expertise, we work out loud and in the open, and not opposed to rapid experimentation to get to the right solution for the business. We're hiring a Data Engineer to own and evolve the systems that move, transform, protect, and serve data across our internal warehouse. This is a high-ownership role on a lean team: you will be the DRI for the platform and its core data models, partner directly with Product Engineering, RevOps, Finance, GTM Engineering, and Security, and raise the bar on reliability, correctness, and operational rigor. The role spans the platform and what runs on it. You will own ingestion, orchestration, and access governance; the dbt models and metric definitions that depend on them; and how AI is applied across the data stack, so that trusted data is easy for both people and AI agents to discover, understand, and work with. You don't need to have done this exact job before. The best data engineers at WorkOS are the ones who notice in a Slack thread that a number doesn't match, trace it from the dashboard through the Gold model to the connector, fix the connector, and confirm the definition with its owner before the weekly review. When a business team asks for a field in Salesforce, they don't hand it off; they build the model, write the sync, and add the test. They would rather automate the runbook than run it a third time. They enjoy collaboration with different parts of the business and can find simple, scalable solutions to ambiguous problems. If that sounds like how you work, we want to talk. RESPONSIBILITIES - Own the reliability, freshness, and scaling of the ingestion and orchestration pipelines that land source data in Snowflake, including monitoring, alerting, runbooks, and backfill and reprocessing patterns - Design, build, and scale the core dbt models (Bronze, Silver, Gold) for billing and usage, CRM, product events, and GTM funnel reporting - Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse, and diagnose and resolve data quality and freshness issues at source, not just downstream - Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service accounts, so sensitive data is protected without blocking legitimate use, and review DDL and access requests from Engineering and GTM - Own the reverse-ETL layer and the runbooks that deliver warehouse data to Salesforce, Slack, and internal agents - Extend the semantic views, context, and evaluations that let agents answer business questions accurately, and expand what agents can operate directly, from runbooks and ingestion to pull requests - Build and advance the CI/CD review gates in the data-platform monorepo, including the automated review that agent-authored pull requests pass through - Own the infrastructure the data platform runs on: the compute, deployments, secrets and access patterns, and environments behind ingestion and orchestration, with attention to availability and failure modes, in partnership with our infrastructure engineers Example problems you might work on, possible paths rather than a fixed roadmap: - Standardizing how Postgres and SaaS sources are ingested, and consolidating end-to-end pipeline deployment and orchestration in Prefect - Managing Snowflake RBAC, resource management, and masking policies as code with Terraform - Using query history to improve analytics tables and semantic views, and to keep agent answers accurate and consistent as data grows and metrics shift - Automating masking coverage as new data sources arrive, so adding a new table no longer needs a human in the loop - Automating near-certain matches in the Identity Graph - Pseudonymizing product data in the ingestion path, alongside compliance and data-deletion policies - Extending transcript aggregation across sources, including PII detection before transcripts enter the warehouse - Building the reverse-ETL framework and runbooks that deliver data to other tooling and agents - Running self-hosted data services on Kubernetes and managing their AWS resources (IAM, storage, secrets) as code with Terraform QUALIFICATIONS - 5+ years (or equivalent) building and operating production data platforms, including the transformation layer - Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster, and with ingesting data from production databases and SaaS sources, including backfill and reprocessing patterns - Experience running data systems in production: monitoring, alerting, debugging, incident response habits, and pragmatic SLO/SLA thinking - Experience with warehouse access governance: RBAC, masking policies, and PII handling - Strong data modeling judgment and an understanding of schema evolution - Strong SQL and Python; disciplined engineering practices (tests, docs, reviews, CI/CD) - Proven experience operating as the only engineer on a layer, balancing foundational architecture with urgent business needs - Working knowledge of how GTM, Finance, and Product teams operate in addition to working with Engineering, and experience translating ambiguous business questions into technical specs - Comfortable using LLMs and coding agents as part of your day-to-day development workflow, with the judgment to validate their output and scale it into shared processes, and embracing AI and automation to scale platform work and accelerate your teammates - A systems thinker who reasons carefully about freshness, correctness, and failure modes, especially for data that everything else depends on - Pragmatic: you start with the simplest solution that works, prove it, then scale it, and you balance fast answers with durable solutions - You look for where AI can remove a bottleneck for the people and agents who depend on the warehouse, and you build the durable tools and workflows they rely on every day Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 Claude is becoming the AI layer inside the platforms where enterprises already work. Our partnership with Salesforce — anchored by Claudeforce — is the first and largest example, and a growing roster of strategic technology partners is following the same path: making Claude the front door to their products for millions of users. As Marketing Manager, Tech Partnerships, you will own the ongoing comarketing relationship with these strategic tech partners. You will be the single marketing point of contact for each partner’s marketing organization, build and run the joint marketing plan, manage shared marketing funds, and turn large partnership agreements into pipeline-generating field programs — exec summits at partner flagship events, joint workshops, enablement moments, and co-branded activations around the world. Key responsibilities Own the day-to-day comarketing relationship with strategic tech partners, starting with Salesforce: be the one consistent Anthropic marketing voice your partner counterparts plan with, and keep both sides working from a single joint plan Build joint marketing plans with each partner, with goals and success metrics agreed before any shared funds are committed Manage joint marketing development funds (MDF): allocation across programs, spend tracking, compliance with partnership terms, and reporting on what the investment returned Design and execute flagship joint moments — executive summits and sessions at partner events (e.g., Dreamforce, World Tours), joint customer workshops, partner sales kickoff enablement, and co-hosted executive dinners Extend partner programs through the broader ecosystem, including joint activations with shared systems-integrator and consulting partners Measure what matters: partner-sourced and partner-influenced pipeline, program-level attribution, and a partnership marketing health scorecard built with Marketing Ops Protect the brand: apply comarketing guidelines, run messaging and asset approvals in both directions, and know when to say no to a partner ask Operate as connective tissue across Anthropic: Partner Marketing, Partnerships/Business Development, segment field marketers, Product Marketing, Events, and Comms all touch these relationships. You keep them coordinated and the partner experience coherent Minimum qualifications Ownership of a comarketing relationship with a large strategic partner: a hyperscaler, a major SaaS platform, or an equivalent, including joint planning and MDF management A track record of executive-level field programs: summits, flagship-event activations, C-level dinners, and roadshows, with the pipeline to show for them Strong relationship-building skills: able to earn trust with partner marketing leaders while holding Anthropic's line on brand, messaging, and spend Comfort building in ambiguity: the playbook for this motion is being written now, and you'll write much of it Rigor on measurement: fluent in pipeline attribution with sales and ops counterparts Preferred qualifications 7+ years of B2B marketing experience, with significant time in field, partner, or alliance marketing at a technology company Experience on both sides of a platform partnership (at the platform and at the ISV/partner) Familiarity with the AI ecosystem and how enterprises adopt AI products Experience running programs at global scale across multiple regions and event series Experience working with or marketing through global systems integrators 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: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 AI is changing both sides of the security equation, and Anthropic is focused on putting frontier AI capabilities in the hands of defenders. Cybersecurity is a fast-growing area for Anthropic, spanning enterprise security teams that adopt Claude for their own security work and security companies that build their products on our models. The buyers are demanding and data-driven, from CISOs to hands-on practitioners in security engineering, application security, security operations, threat intelligence, and incident response. As Field Marketing Lead, Cybersecurity, you will lead Anthropic's field marketing for the cybersecurity audience around the world, helping position Claude as the trusted AI partner for security teams. You will align closely with the sales organization, develop the marketing strategies and tools the field needs, and partner with Anthropic's cybersecurity experts in product marketing, solutions marketing, and across the business to turn their positioning and messaging into programs and campaigns. You will be the cybersecurity lead that our campaigns and regional field marketing teams draw on, working with customers in every segment and with a focus on expanding within existing accounts. You will make sure that how we show up to CISOs, practitioners, and the buying committee is credible, consistent, and tied to revenue, whether in a global campaign, an executive roundtable, or a flagship industry event. Location: this is a global role, with a preference for candidates based in San Francisco or New York. Key responsibilities Own the global cybersecurity field marketing plan: define how we reach CISOs, practitioners, and the buying committee in every customer segment, the annual program calendar, and the goals and success metrics agreed with sales leadership before budget is committed Align with the sales organization worldwide: agree on target accounts and buying committees, build programs that expand Anthropic's footprint in existing accounts and open new opportunities, and make sure account teams have what they need to invite, follow up, and convert Partner with product marketing, solutions marketing, and Anthropic's cybersecurity experts: build on their positioning, messaging, and enablement, and work with them to turn cyber use cases into the programs and campaigns that build awareness and demand Develop the marketing strategies and tools the field needs: playbooks, program kits, speaker guidance, and event recommendations that let regional field marketers in the Americas, EMEA, and APAC run cybersecurity programs locally without starting from scratch Design and run flagship cybersecurity moments in the field: executive roundtables, CISO dinners, practitioner workshops, and Anthropic's field presence around major industry events such as RSAC, Black Hat, Gartner Security & Risk Management Summit, and Infosecurity Europe, in step with the launch, content, and thought leadership plans led by product and solutions marketing Serve as the cybersecurity field lead for integrated campaigns: bring audience insight, field feedback, and program ideas, and extend global campaigns into regional programs so they land with CISOs, practitioners, and the rest of the buying committee Bring the voice of the security buyer back into Anthropic: share what you hear from customers, analysts, and the field with Product, Sales, and Marketing leadership Measure what matters: sourced and influenced pipeline, expansion within existing accounts, program-level attribution, and a clear read on which programs earn more investment, built with Marketing Ops Protect the brand with a skeptical audience: hold a high bar for technical accuracy, keep the story focused on defenders and responsible deployment, avoid fear-based messaging, and know when to say no to a program that would not earn trust Operate as connective tissue across Anthropic: Sales, Campaigns, regional Field Marketing, Product Marketing, Solutions Marketing, Partner Marketing, Partnerships, Events, and Comms all touch this audience. You keep them coordinated and the customer experience coherent Minimum qualifications Working fluency in the cybersecurity landscape, across areas such as security operations, detection and response, threat intelligence, application security, vulnerability management, cloud security, and governance, risk and compliance, with enough technical depth to hold a credible conversation with both CISOs and hands-on practitioners A track record of partnering with sales teams on pipeline and on expansion within existing accounts, including account-based programs and executive engagement, with results to show for them Experience across both integrated campaigns and field marketing, and the judgment to know which one a given goal calls for Experience operating globally: you have led programs across multiple regions and enabled local teams to run them well Strong influence without authority: able to set direction for campaigns and regional field marketers who do not report to you Comfort building in ambiguity: the playbook for this motion is being written now, and you'll write much of it Rigor on measurement: fluent in pipeline attribution with sales and ops counterparts Experience working alongside product marketing and technical experts, and turning their positioning and messaging into field programs and campaigns Range across customer segments: you can adapt a program for a large enterprise, a mid-size company, and a fast-growing startup Preferred qualifications 8+ years of B2B marketing experience, with significant time in field marketing or demand generation for cybersecurity buyers at a security vendor or an enterprise technology company Hands-on background in security, such as time as a practitioner, sales engineer, or product marketer for a security product Familiarity with the AI ecosystem and how enterprises adopt AI products, including how AI is changing security work for defenders Experience marketing trust-sensitive or dual-use products, where responsible deployment is central to the story Existing relationships in the security community: CISO networks, analysts, industry groups, and event organizers Experience marketing to regulated industries or public sector buyers, where security review shapes the deal Experience working with security technology partners, managed security service providers (MSSPs), or global systems integrators The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $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. 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 States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM   Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We are looking for an Affiliate Growth Lead, US to build and scale our relationships with finance and investing creators and affiliates across the US market. The role combines business development, creator and affiliate partnerships and performance marketing, with a clear commercial mandate: drive attributable funded accounts and trading volume from active traders and investors, starting with Margin.   This is not a crypto-native KOL role. The audience we want to reach already trades and invests, and we reach them through the creators and publishers they trust in traditional finance, trading education and wealth management.   THE OPPORTUNITY - Own business development for US finance and investing creators and affiliates, building a high-quality pipeline of trading educators, finance YouTubers and podcasters, newsletter authors, and wealth-management and advisor-creators. - Develop and execute the US creator and affiliate strategy, starting with a focus on driving Margin trading volume and funded accounts, with the scope to expand across Kraken's other trading products. - Own partner acquisition and relationship development, from initial outreach and commercial conversations through activation and ongoing growth. - Structure CPA, revenue-share and hybrid partnerships that tie partner incentives to funded accounts and trading activity. - Set up and manage the tracking, attribution, payout and reporting needed to measure partners through funded and traded accounts. - Work with Legal and Compliance on disclosure, content review and approved messaging, so that promotion of leveraged products is responsible and consistent. - Partner across Growth, Marketing, Product and other relevant teams to turn creator and affiliate opportunities into effective campaigns, and bring partner and audience feedback back into the product. - Coordinate with the NORAM Pro KOL Business Development team so each creator has a single point of contact and relationships are not duplicated. - Track attributable trading volume, funded accounts, active-trader retention and CAC per partner, and use the results to prioritize partners and investment. - Continuously identify emerging creators, communities and affiliate publishers that reach active traders and investors in the US.       WHAT YOU BRING - Deep experience in business development, partnerships, influencer management or affiliate-led growth in the US, with a track record of running performance-based creator or affiliate programs for a brokerage, trading platform or investing product. - Experience growing margin, options, futures or other leveraged or active-trading products. - A strong existing network and understanding of the US finance and investing creator ecosystem, including trading educators, finance YouTubers, newsletter authors, podcasters and wealth-management or advisor-creators. - Working knowledge of crypto and digital assets, with the ability to explain crypto trading products clearly to audiences who are new to them. - Demonstrated ability to originate, negotiate and grow commercially meaningful partnerships, including CPA, revenue-share and hybrid deal structures. - Hands-on experience with affiliate networks and tracking platforms. - A record of turning creator or affiliate activity into measurable outcomes such as funded accounts, trading volume, revenue or acquisition, with results you can describe in numbers. - Familiarity with US financial advertising rules, including FTC paid-endorsement disclosure, and experience getting creator content through compliance review. - Strong relationship-building skills, with the credibility to work with creators who protect their audience's trust and are selective about the brands they promote. - Commercial judgment: you prioritize partners based on expected impact on conversion and trading activity, not on reach or activity alone. - Comfort using performance data to evaluate partners, diagnose results, adjust strategy and end partnerships that do not perform. - Strong cross-functional execution skills and the ability to move opportunities from prospecting through launch and ongoing growth.     NICE TO HAVES - Experience working in wealth management or fintech. - Experience at a crypto exchange or digital-asset firm. - Existing relationships with US crypto-native creators. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom (Remote); Ireland (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. As a Senior Solutions Engineer, you will help the sales team drive revenue growth by evangelizing our technology via demos and technical discussions. You will get to collaborate with infrastructure engineering and security teams at the most sophisticated technology companies in the world. Most importantly, you will help these companies solve problems and get exposed to the latest ideas in technology. You will partner with account executives, other solutions engineers, and other teams to understand customer challenges, design secure and scalable solutions, and guide prospects through technical evaluations and proof-of-value engagements. You have experience working with AI technologies and infrastructure (LLMs, MCP, vector databases, AI tooling), and familiarity with traditional infrastructure networking and security (Linux/Unix, Windows, VPNs, bastion hosts, etc) and modern cloud-native technologies (cloud compute, containers, IaC, etc). What You'll Do - Partner with Account Executives and Account Managers to expand technical discovery, and map Teleport’s capabilities to customer initiatives. - Architect and deliver compelling demos and proof-of-concepts that showcase Teleport’s differentiation with Zero Trust principles, handling of human and non-human identities, identity governance, and identity security. - Act as the trusted advisor to engineering, platform engineering, DevSecOps, and security leaders. - Advise on protecting sensitive datasets and model endpoints with Teleport’s identity-based controls. - Position Teleport as a solution to eliminate API keys and static tokens in machine pipelines. - Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads. - Provide structured feedback to Product and Engineering on feature gaps and market needs. - Collaborate with Marketing on thought leadership around identity, human, non-human, and AI security. - Support channel and technology partners with technical enablement. - Help across various go-to-market activities, including marketing collateral, product positioning, customer interviews, sales cycle optimizations, traveling to conferences, brand evangelism, attending meetups, etc. - Listen deeply and perceive feedback as an opportunity to improve. - Demonstrate a high level of empathy, resilience, and humility. What You'll Bring - 5+ years of experience in pre-sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role. - Experience with using/configuring/debugging Linux machines and network issues. - Strong understanding and experience with Kubernetes, including hands-on troubleshooting. - Strong knowledge of at least one cloud computing platform - Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale (e.g., source control, code reviews, unit testing, agile principles). - Advanced understanding of identity security and modern Zero Trust security approaches. - Proven ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools - Strong understanding of system architecture, provisioning, and administration - Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements. - Strong problem-solving and analytical skills, with the ability to troubleshoot complex issues - Ability to engage both technical and executive stakeholders with credibility and clarity. - Strong presentation, demo, and white-boarding skills. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Renewals Operations Manager at GitLab, you'll help own the operational engine that makes renewals predictable, measurable, and efficient at scale. Reporting to the Director of CX Operations, you'll be the Renewals team's go-to business partner for processes, tooling, forecasting and insights, consumption and subscription data, and the steps required to quote and close a renewal. This is a senior individual contributor role with no direct reports. You'll lead through ownership and influence, connecting teams and workflows, turning ambiguous problems into clear next steps, and driving improvements that others across the revenue organization depend on. What you'll do Own and continuously improve the end-to-end renewal operating model; from renewal identification, assignment through risk management, quoting, through to close and post-renewal data hygiene processes. Develop and improve the operating cadences that guide the renewal business, with a focus on efficiency and process improvement. Define, maintain, and evolve retention reporting with cross-functional partners, including gross and net retention, churn and downgrade analysis, and the drivers behind each. Partner with Revenue Technology, Revenue Analytics, Finance, and other stakeholders to improve Salesforce and the systems and data flows supporting customer relationship management (CRM), subscription and entitlement records, quoting, orders, billing, and reporting. Translate business needs into requirements, validate solutions, and strengthen data quality and operational controls. Simplify and scale the renewal motion through automation, standardized workflows, alerts, playbooks, and self-service insights that reduce manual effort and improve execution consistency. Support renewals planning and capacity management, including segmentation implementation, coverage models, productivity assumptions, capacity modeling, supporting target setting, and scenario planning. Own and mature the Renewal Operations case-management program, including intake, triage, routing, service-level visibility, resolution, and root-cause analysis. Requests may include user migrations, de-duplication, Renewal Manager ownership changes, compensation exceptions, and Salesforce or data issues. Raise the operating standard in your domain by documenting processes, mentoring others on how the renewal motion works, and contributing to broader Revenue Operations initiatives that need the renewals perspective. What you'll bring Experience in Renewals Operations, Revenue Operations, Sales Operations, management consulting, strategy, or a similar analytical and problem-solving role, with ownership of operational improvements and cross-functional initiatives. Hands-on experience with both consumption and subscription renewal motions, including renewal forecasting, retention reporting, and the contractual and process mechanics that govern how renewals close. Strong critical thinking and structured problem-solving skills. You can break down ambiguous problems into clear workstreams and move them forward. Strong quantitative and analytical skills. You're highly proficient in Excel or Google Sheets, can build and validate models from scratch, and can translate analysis into clear recommendations and action. Experience with Structured Query Language (SQL) or equivalent data-querying tools is preferred, not required. Systems thinking and experience using Salesforce for pipeline and renewals reporting. You understand how changes in one part of the go-to-market motion affect others, including how CRM, subscription or entitlement records, quoting, and billing relate to one another, and you design solutions accordingly. Sound commercial judgment and an understanding of renewal complexity, including co-terming, amendments, expansions, downgrades, price changes, multiyear agreements, auto-renewals, procurement requirements, and approval policies. Strong cross-functional collaboration skills. You build trust with stakeholders at all levels, including field teams and senior leadership, and influence without direct authority. Curiosity, sound judgment, and a bias toward action. You learn new domains and tools quickly, move from insight to implementation, and follow through until improvements are adopted and sustained. About the team You'll work within CX Operations, partnering closely with Renewals and Customer Success leadership, Sales, Finance, Revenue Technology, and Revenue Analytics. These partnerships connect renewal execution with the processes, systems, and data that support it. In GitLab's all-remote, values-driven environment, documentation, iteration, and cross-functional partnership are core to how you'll work. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Singapore Contract: Six-month contractor Location: Singapore Team: Global Events / APAC ABOUT OPENAI OpenAI is a leading artificial intelligence research and technology organization dedicated to ensuring that general-purpose AI benefits all of humanity. Known for its pioneering work in advanced AI systems, OpenAI operates with a strong commitment to safety, responsibility, and global impact. The Events team at OpenAI is a highly collaborative, mission-driven group focused on designing exceptional, one-of-a-kind experiences. The team is passionate about bringing people together, amplifying diverse voices, and creating meaningful moments that reflect OpenAI’s values. ABOUT THE ROLE GreenLight is recruiting a Singapore-based Events Coordinator for a full-time, six-month contract supporting the planning and delivery of OpenAI events. Working under the guidance of the APAC Events lead and Event Manager, this role focuses on guest communications, registration, event administration and on-site logistics. Singapore will be the primary market focus, with support for other APAC events as needed. The coordinator will deliver assigned workstreams within agreed plans and budgets, with event strategy, creative direction, supplier negotiations and budget approval led by the Event Manager and APAC Events lead. This position is based in Singapore and requires working from the office at least three days per week, with occasional travel across APAC as project needs require. KEY RESPONSIBILITIES - Coordinate guest lists, invitation tracking and RSVPs, keeping attendee information accurate and up to date. - Build and maintain registration forms, event landing pages and approved guest emails in Swoogo. - Coordinate employee travel, hotel room blocks, event communications and on-site schedules. - Support on-site registration, badge printing, guest arrivals and guest flow, escalating issues to the event lead. - Coordinate assigned logistics with venues, caterers, AV providers and agencies, following the Event Manager’s brief. - Maintain event timelines, checklists, meeting notes and action trackers; flag delays and outstanding decisions. - Track quotes, purchase requests, invoices and expenses for review by the Event Manager and relevant teams. - Support approved security and accessibility arrangements, collect guest feedback and compile attendance and post-event reporting. IDEAL CANDIDATE PROFILE You may be a strong fit for this role if you: - Have hands-on experience supporting events, particularly registration, guest communications and on-site logistics. - Have 2+ years of experience supporting complex events at a regional company, - Are based in Singapore and have existing work rights in Singapore. - Have experience using Swoogo or a similar event registration platform and are comfortable maintaining event pages and email communications. - Are highly organised, with strong attention to detail and confidence using spreadsheets, guest lists and project trackers. - Communicate clearly in English and work well with colleagues, vendors and guests from different backgrounds. - Have experience coordinating group travel or hotel room blocks, or are keen to develop these skills. - Can manage several assigned tasks, follow through on deadlines and ask for guidance when priorities or requirements change. - Bring a proactive, collaborative and solutions-oriented approach, with flexibility to support on-site delivery and occasional APAC travel. - Have an interest in artificial intelligence and OpenAI’s mission.

Location: Singapore Contract: Twelve-month contractor Location: Singapore Team: Global Events / APAC ABOUT OPENAI OpenAI is a leading artificial intelligence research and technology organization dedicated to ensuring that general-purpose AI benefits all of humanity. Known for its pioneering work in advanced AI systems, OpenAI operates with a strong commitment to safety, responsibility, and global impact. The Events team at OpenAI is a highly collaborative, mission-driven group focused on designing exceptional, one-of-a-kind experiences. The team is passionate about bringing people together, amplifying diverse voices, and creating meaningful moments that reflect OpenAI’s values. ABOUT THE ROLE GreenLight is recruiting a Singapore-based Event Manager for a full-time, twelve-month contract supporting OpenAI’s strategy and execution across a wide portfolio of events. Working under the guidance of the APAC Events lead, this role will partner closely with local and global cross-functional teams to deliver sophisticated, high-impact experiences for an innovative global technology organization. The role will support projects across the wider APAC region with flexibility to travel and work in other markets based on business and event requirements. The ideal candidate brings strong regional expertise, operational excellence, cultural fluency, and a passion for creating original, meaningful experiences, particularly within technology and thought leadership contexts. The role owns event operations, regional vendor coordination, guest experience, and post-event reporting. This position is based in Singapore and requires working from the office at least three days per week, alongside travel across APAC and internationally as project needs require. KEY RESPONSIBILITIES - Own the full event lifecycle for programs, including concept development, planning, workstreams, budgeting, logistics, catering, and on-site production. - Partner with local teams to translate regional priorities and OpenAI’s complex AI technology into locally relevant, globally consistent programming, clear event objectives, timelines, and measurable outcomes. - Source, negotiate, and coordinate with trusted local vendors, including venues, caterers, AV providers, and creative production teams, while meeting OpenAI’s standards and compliance requirements. - Own attendee registration, check-in processes, and event communications, including localized pre- and post-event outreach. - Maintain meticulous financial records, manage budgets and procurement processes, coordinate invoices and multi-market payment and tax requirements with the relevant teams, and report expenditures against targets. - Collaborate with OpenAI’s global and regional Marketing, Sales, Product, Policy, Communications, Partnerships, Procurement, and Security teams to align events with program goals, core narratives, and brand guidelines. - Implement and manage locally appropriate safety, security, accessibility, and operational protocols, prioritizing attendee well-being and compliance. - Measure event performance, collect attendee feedback, and share insights and regional learnings to continuously improve program quality and impact. - Drive creative innovation across event touchpoints, producing original, immersive experiences that are bold, seamless, and differentiated. - Manage high-stakes events involving senior executives, enterprise partners, developers, policymakers, and media. IDEAL CANDIDATE PROFILE You may be a strong fit for this role if you: - Have 7+ years of experience leading complex, high-profile events at a global company, including end-to-end planning, on-site execution, and post-event analysis. - Are based in Singapore, understand the local event landscape, and are willing and able to travel and work across APAC as needed to support other projects. - Thrive in fast-paced environments while maintaining high standards across every aspect of a project. - Are fluent in English and communicate with confidence, clarity, and cross-cultural sensitivity. - Bring deep understanding of regional cultural nuances and audience expectations. - Are energized by creating original, first-of-their-kind experiences. - Manage multiple concurrent projects across business functions with confidence and clarity, prioritizing and making smart trade-offs as needs evolve. - Have a strong network of regional vendors and production partners. - Demonstrate strong financial and operational acumen, including budgeting, procurement, and multi-market payment and tax considerations. - Have experience partnering with cross-functional leaders and stakeholders. - Remain grounded and decisive amid ambiguity and shifting priorities, with a proactive, collaborative, solutions-oriented mindset. - Have a strong interest in artificial intelligence and OpenAI’s global impact. - Excel at building trusted relationships with local cross-functional teams, vendors, and agencies while delivering outstanding guest experiences in fast-moving environments. - Have existing work rights in Singapore.

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 SOX Director - Compute and Infrastructure to join our Internal Audit team at Anthropic. In this role, you will lead financial risk assessment and internal control design over compute and infrastructure.  This is Anthropic's largest cost and one of the most complex areas of our financial reporting.  You'll focus on cloud spend, usage-based costs, vendor commitments, accruals, and cost allocation, as we scale rapidly toward an IPO. This is a unique opportunity to build SOX controls at an AI-first company, in a domain where few established playbooks exist. Compute is purchased under multi-year agreements with multiple providers, metered in third-party environments, accrued from internal telemetry, and increasingly provisioned and scheduled by automated systems and agents. You will help define how controls work in that environment for both business and IT environments, from reliance on service providers to full-population monitoring of high-volume usage data, while maintaining the rigor required for public company compliance. As the SOX Director, Compute and Infrastructure, you will own scoping, control design, testing, remediation, and reporting for compute and infrastructure processes, partnering directly with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Finance & Strategy, and Procurement to design scalable controls, oversee documentation, and support communication with external auditors. This role reports to the Head of Business Controls and plays a critical part in strengthening internal control maturity through pre-IPO readiness and beyond. Key responsibilities Lead financial risk and internal control design for compute and infrastructure accounting, including cloud spend, usage-based costs, vendor commitments, credits, refunds, accruals, cost allocation, budgeting, and asset lifecycle management Develop and execute the SOX control plan and roadmap for compute and infrastructure, making defensible prioritization calls on what must be controlled now and what can follow Own scoping, risk assessment, walkthroughs, testing, remediation, and reporting activities for compute and infrastructure processes Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness Pioneer the use of AI and automation to enhance control effectiveness, including full-population matching of usage to invoices, continuous monitoring, and anomaly detection Design, implement, and monitor controls over the completeness, accuracy, and cutoff of compute cost, including monthly accruals built from internal workload telemetry and the true-up to provider invoices Establish controls over multi-year provider agreements, including reserved capacity, minimum spend commitments, usage-based charges, signing credits, service-level credits, refunds, and billing corrections Design and test controls over the allocation of compute cost between cost of revenue and research and development, including workload tagging, shared clusters, and changes to tagging logic or allocation models Establish the investigation threshold and variance criteria used in the control design to ensure the precision needed to detect a material misstatement Design and test controls over infrastructure related control inclusive of development of an asset lifecycle management system Oversee control documentation and ensure audit-ready evidence is maintained for all compute and infrastructure processes, in compliance with US GAAP and SEC reporting requirements Own control requirements across high-volume financial data pipelines, partnering with Finance Analytics &BI, Finance & Strategy, and Accounting to validate completeness, accuracy, classification, general-ledger mapping, key reports, and monthly close governance Own the identification and control treatment of key reports and Information Produced by the Entity (IPE) used in compute accruals, allocation, and the close Partner with IT SOX and engineering teams on the IT general controls and automated controls that support compute data, including interface, ITAC’s, and change management over pipelines and models Embed control requirements into new systems, pipelines, and process changes at design time Lead the assessment of reliance on cloud providers that meter and bill compute, including review of SOC 1 reports, scope and period coverage, bridge letters, and exceptions or qualified opinions Define and monitor complementary user entity controls, and design alternative procedures where a provider report is missing, does not cover the relevant system or period, or includes exceptions Assess how the use of AI in Finance and in the close changes what controls need to cover, and update the control environment accordingly Partner with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Procurement, and Finance & Strategy to implement scalable controls over compute and infrastructure Work with the Compute Controller and Chief Accounting Officer organizations to align control priorities with business objectives Train and enable process owners and control performers, many of whom are new to SOX, on control execution, evidence retention, and what audit-ready means Support management's assessment of internal controls over financial reporting (ICFR) and related disclosures Serve as the primary point of contact for external auditors on compute and infrastructure SOX matters Prepare the Company's formal positions on control design, provider reliance, and deficiency evaluation for compute and infrastructure Manage audit requests, coordinate testing schedules, and facilitate walkthroughs across compute and infrastructure processes Track and report on control status, testing results, and remediation to leadership Drive alignment with external auditors on testing approaches, reliance strategies, and deficiency evaluation and aggregation assessment Minimum qualifications Have designed controls over cloud, compute, or infrastructure cost, or over a comparable high-volume, usage-based process, and understand control objectives, IPE, and sufficiency of audit evidence Have proven ability to establish or scale SOX controls at newly public or pre-IPO companies Possess deep understanding of compute accruals, vendor commitments, cost allocation, financial close, and US GAAP requirements Have experience evaluating service organization reports (SOC 1 and SOC 2) and complementary user entity controls Are comfortable working with large datasets and data pipelines, and partnering with data science and engineering teams Can structure ambiguous control problems and influence across stakeholders without direct authority Have strong project management, analytical, and communication skills Hold a Bachelor's degree in Accounting, Finance, Business Administration, IT/Engineering Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI Preferred qualifications Have 12+ years of hands-on SOX, internal audit, or internal controls experience, preferably in both Big 4 and in-house roles at a fast-paced technology company CPA (or similar certification) and/ or CISA Familiarity with cloud provider billing and commitment structures (AWS, GCP, Azure) SQL and comfort working directly with usage, telemetry, and cost data to validate what the systems are telling you Experience with controls over cost of revenue, gross margin reporting, and allocation methodologies Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes Understanding of lease accounting (ASC 842) and other accounting standards relevant to infrastructure and capacity arrangements Experience working at a high-growth AI or technology company Familiarity with financial data governance, internal controls over financial reporting (ICFR), and SEC disclosure requirements 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. 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 We're seeking an experienced Policy Communications Manager to help drive external communications for our security, governance, and responsible scaling programs, and associated work. This role offers the opportunity to help shape how Anthropic communicates about our approach to developing secure AI systems and products, our work to uphold and iterate on our Responsible Scaling Policy framework, and the unique corporate structure that keeps the company accountable to its mission, including our Long-Term Benefit Trust (LTBT) and our status as a public benefit corporation. You'll partner closely with our security, product, legal, governance, and Responsible Scaling Policy (RSP) teams to communicate Anthropic's approach to building safe and secure AI models as the technology becomes increasingly capable across critical domains like cybersecurity. You'll also help lead communications about how Anthropic is governed: the role of the LTBT's independent trustees in overseeing the company and electing members of our board, the obligations that come with our public benefit corporation charter, and why we believe this structure matters as AI systems grow more powerful. As governments establish regulatory frameworks for frontier AI, you'll help articulate how Anthropic approaches its transparency obligations and public reporting commitments, translating evolving requirements into clear, credible external communications. This will include balancing proactive storytelling about product security updates and launches with thoughtful handling of reactive matters as they arise. We're charting new terrain communicating about fast-moving frontier model capabilities and threat surfaces, and about institutional structures few other companies have built. You'll bring strong communications fundamentals to the role but recognize that traditional approaches may not map cleanly to the novel issues we're tackling. The ideal candidate is an experienced issues handler with strong executive management skills, attention to detail, and the judgment to navigate sensitive topics with care. You should be able to move quickly under pressure and tight deadlines, write crisply, and distill complex security, governance, and technical topics for a broad audience while maintaining accuracy. This is a unique opportunity to help define how one of the world's leading AI safety companies communicates about the security and governance challenges that will shape the future of the technology. Key responsibilities Develop and execute communications strategies for Anthropic's approach to AI security, governance, and responsible scaling Drive external communications about Anthropic's corporate governance, including the Long-Term Benefit Trust and our public benefit corporation status, explaining how these structures provide independent oversight and accountability to our mission Serve as a trusted communications partner to security, product, legal, governance, and RSP leaders on sensitive, fast-moving matters Develop proactive communications around emerging regulatory frameworks and transparency obligations, including public reporting commitments, disclosure requirements, and Anthropic's engagement with oversight bodies Manage reactive inbound media requests on complex security and governance topics Build and maintain relationships with journalists and influencers covering security, corporate governance, and technology policy Prepare executives for media interviews, speaking engagements, and public appearances, developing thought leadership opportunities that position Anthropic's leaders as credible voices on AI security, governance, and responsible development Write blog posts, statements, talking points, and other communications materials that explain our security, governance, and responsible scaling work clearly and accessibly, maintaining accuracy Support reactive communications efforts with speed, accuracy, and sound judgment Minimum qualifications Experience in policy communications, including managing communications around complex security or governance topics Excellent written and verbal communication skills, with the ability to distill complex technical topics accurately for broad audiences Experience in issues management and developing reactive communications under pressure and tight timelines Strong executive management skills and a proven ability to work seamlessly across technical and non-technical teams A track record of building media relationships A results-oriented, high-agency working style, with a bias toward flexibility and impact Comfort operating in new terrain, where the technology is evolving quickly and the right communications approach may not yet exist A deep commitment to ensuring that transformative AI systems are developed safely Preferred qualifications 8+ years of experience in policy communications, ideally at a high-growth technology company Experience communicating about corporate governance, regulatory affairs, or oversight structures, and comfort explaining novel institutional arrangements to broad audiences Existing relationships with security, governance, and tech policy reporters and influencers 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 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ukraine; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE Ruby Labs is hiring an experienced Senior Data Analyst to join our fast-paced, high-ownership environment. You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV- while ensuring trusted tracking, strong data models, and decision-ready reporting. This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable. RESPONSIBILITIES - Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria. - Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust. - Deliver full-funnel analysis, identify bottlenecks, and propose improvements or A/B test ideas. - Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data. - Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs - Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment. - Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries). - Mentor Junior/Middle Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance. - Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment. REQUIREMENTS - Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience. - 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery. - Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets. - Excellent verbal and written communication; ability to translate analysis into clear business actions. - Ability to think strategically and make data-driven recommendations aligned with company goals. - Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation. - Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar - Advanced SQL - Experience with popular BI tools such as Tableau, Looker, or similar - Experience in subscription business - Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment NICE TO HAVES - Strong spoken and written English - Experience in Marketing Analytics - Experience with Python, R - Experience with GCP, BigQuery - Experience with Google Ads, Facebook Ads etc - Experience with orchestration frameworks such as Airflow, dbt - Experience with git and code review process LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote