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Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude - advising on implementation, agent design, and working alongside them to build at the frontier of AI. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team Create technical content for developer audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events Travel to customer sites for workshops, implementation support, and relationship building You may be a good fit if you have 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale Strong programming skills with proficiency in Python and experience building production applications Experience working with high-growth, tech-forward companies Ability to context-switch across industries (healthcare, fintech, etc.) and use cases Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans Experience facilitating technical workshops, hackathons, or developer-focused events Passion for making powerful technology safe and beneficial 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: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams Track record of selling technical products in competitive markets Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns Passion for making powerful technology safe and societally beneficial 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: £165,000 — £190,000 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.

Чем предстоит заниматься: Сбор и оценка требований; Выдача заданий в работу, тестирование и выверка CRs по собственным постановкам; Работа с ветками в системе контроля версий, обновление приложений; Реализация новых функциональностей, поддержка (L3) и развитие текущих систем с соблюдением SLA; Командировки на производственные площадки (г. Липецк) для сбора обратной связи и контроля внедрения новых функциональностей. Для нас важно: Понимание жизненного цикла разработки ПО: SDLC, Agile/Scrum/Kanban; Знание основных артефактов системного анализа: требования, user stories, use cases, BPMN, UML, спецификации API, интеграции; Понимание архитектуры систем: микросервисы, REST API, очереди, БД, интеграции; Владение Jira, Confluence, Miro или аналог, Excel/Google Sheets; Понимание SQL, Postman, Swagger на уровне терминов и применения. Работа в группе НЛМК - это: ДМС, включая стоматологию; Страхование жизни и страховка для путешественников; Корпоративная мобильная связь; Система скидок для сотрудников НЛМК ИТ; Частичная компенсация питания в корпоративных столовых; Возможность обучения за счет работодателя; Активная корпоративная жизнь; Поддержка от компании в жизненно важных событиях; Бесплатный доступ к электронной библиотеке.

Location: Barcelona, Spain Workplace: hybrid ⛵ About our Crew Click&Boat is a rental platform product of Boats Group, the fastest-growing digital business in the recreational boating space. We are a talented team of techies, creatives, marketers, closers and customer advocates who spend each day pushing the boundaries of technology to make buying, selling & renting boats easy. We spend each day surrounded by 500,000 boats from across the globe! Click&Boat is the European leader in boat rentals . Our marketplace makes boating accessible around the world, from a day trip to a week-long adventure, while enabling private and professional boat owners to generate additional income through rentals. To support this growth, we are hiring an Assistant Account Manager to join a dynamic team in our Barcelona office and continue building a world-class, creative organization by finding the best talent for our incredible culture. 🚤 The role We’re looking for an Assistant Account Manager to join our Supply crew in Barcelona. In Click&Boat, there are 3 main operational Business Units : Supply: deals with boat owners and make sure the boats available on our platform generate revenues with the highest quality of service. Sales: deals with tenants and supports them all along a booking process, from quotations to closing the deal. Customer Care: represents the point of contact for our customers after a booking is closed by the Sales team (before, during and after the trip), and makes the link between boat owners and tenants (booking modification or cancellation, insurance or accident issues, etc). You will integrate the Supply team , a business unit composed of 10 people, strengthened by seasonal employees during summer, and organized by markets. Working along with our Account Managers, you will play a key part in guiding our boat owners through the journey with us , and collaborating closely with the Sales and Customer Experience crew members across teams to deliver a high-quality experience. If you're excited about marketplaces, digital business and dynamic environments, you might be exactly who we’re looking for. 🛟 What floats your boat With the guidance of your manager, you will perform the following tasks: 1) Onboarding new partners (80%) You will be in charge of onboarding new partners who register on Click&Boat, and assist them throughout the creation of their boat listings (ad, pictures, etc.) as well as showing them how the platform works. 2) Side missions (20%) You will be in take part on various operational tasks, including but not limited to: Account Management: helping our partners to maximize the potential of their accounts (by updating the ads and ensuring that the calendars are up to date, for instance) and enhancing their engagement with the platform (answering their questions and doubts related to its use). Monthly side operations: According to business needs you will be involved on side missions such as carrying out market researches or participating actively in the BU weekly/monthly presentations. 🧭 What you bring aboard To be able to communicate with customers, you are bilingual in Croatian and speak fluently English . You have ideally a first experience (internship or student / summer job) in a customer facing role. Dynamic and at ease on the phone, you enjoy advising and are an ongoing person. Customer satisfaction is your main source of motivation! You are a team player who inspires trust, ready to take initiatives and battle for user satisfaction; You are interested in start-up environments; you are proactive and ready to share your ideas to improve our services. 🌊 Bonus points (great to have, never a dealbreaker) The knowledge of another language is highly valued. If you have a boating background and interest, it’s even more perfect! 🗺 The hiring journey Intro call with Talent Acquisition Interview with your future manager and a business case We aim to keep things smooth, transparent, and respectful of your time throughout the process. What awaits you aboard 🚀 A fast-growing international company with real impact; 💻 Remote work policy: 1 day per week, depending on periods of the year and seniority; 📖 Extensive internal training; 🥪 Lunch vouchers (Cobee); 🥐 Breakfast every Tuesday morning; 🌊 A welcoming office in Barcelona, next to the centrally located Cathedral and just a 20-minute walk from the sea; 🎉 Team-building activities. Contract: Fijo-Discontinuo Start date: January 7th or mid April 2027 Duration: 6 to 9 months Salary: 1 823 euros gross per month 🪝 Ready to join? If this opportunity sounds like your next adventure, hit the “apply to this job” bottom. Remember, even if you don’t meet every requirement, you might still be a great match for us! And yes, we’re especially talking to women here: science says that you are less likely to apply if you don’t meet them all. So go for it, we’d love to hear from you. At Click&Boat, every application is reviewed with equal care and attention, regardless of age, gender, origin, disability, religion, sexual orientation, or any other characteristic. We hire for talent, drive, and mindset. The sea is open to all. 🌊

Location: Singapore; Melbourne; Sydney Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. WHAT YOU WILL DO As an AI Deployment Strategist, AI4Eng for Physics and Engineering in APAC, you are Mistral's forward-deployed operator on strategic enterprise accounts across automotive, aerospace, semiconductors, industrial equipment, and energy. You own the delivery of AI solutions for physics and engineering challenges end-to-end. Discovery, Scoping & Solution Design: - Run technical discovery sessions to understand business and engineering requirements. - Identify, qualify, and prioritize use cases aligned with the customer's strategic R&D and product-development challenges. - Translate business goals into a concrete AI roadmap and high-level solution architecture, validating feasibility with Product and Applied AI teams. - Build ROI models and business value propositions, and own scoping documents and SOW inputs. Delivery & Program Management - Own end-to-end delivery: discovery → design → build → deploy → adoption. - Set up the account operating model: governance, decision forums, and cadence. - Drive day-to-day execution: priorities, milestones, unblockers, and risk management. - Drive scope control and change management, ensuring the right artifacts are produced (design doc, runbook, eval plan, rollout plan, handover). - Bring knowledge of processes and regulations from the industries we serve (aerospace, semiconductor, automotive, industrial equipment, energy). Adoption, Value Realization & Expansion - Lead user testing, training, change management, and developer enablement. - Track value realization against agreed KPIs and report to executive sponsors. - Capture field learnings and feed product gaps and platform needs back to Product, Science, and Engineering. ABOUT YOU - Advanced university degree in physics or engineering, or IT. - 5+ years of experience as a (technical) project manager in a relevant industry, e.g., automotive, semiconductors, or aerospace. - Experience in software development, machine learning, and ideally in numerical simulations for physics and engineering (CAE, CFD, FEM, DEM, etc.). - Hands-on coding proficiency (Python at minimum), with the ability to read design docs and hold your own in deep technical conversations with data scientists, ML engineers, and simulation engineers. - Strong grasp of where AI creates value in computational science: surrogate models, PDE solvers, FEM/CFD acceleration, inverse problems, and differentiable simulation. - Familiarity with deployment patterns (SaaS, VPC, on-prem, hybrid), security and compliance basics, and ideally agile project management methodologies. - Strong communication skills with the ability to explain complex technical concepts in simple terms and to manage C-level stakeholders. We are looking for adaptable team players who excel in a fast-paced environment, are ready to own delivery across APAC accounts, and are prepared to support pre-sales motions to contribute to our shared goals and growth. INTERVIEW PROCESS - Talent Acquisition screening call (30 min) - 30 min Hiring Manager Interview - 45 min Technical Interview (physics, simulation, and AI deep dive) - 45 min Business Acumen Interview - Panel (Customer Meeting Role-Play & Use Case Scoping Exercise, 1h) - 30 min Value Talk - Reference check WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Frontier AI runs on datacenters, and the world is in the middle of the largest infrastructure buildout in a generation. The binding constraint on progress is increasingly everything around the chips: land, power, permits, equipment, and the design and construction of the buildings themselves. Bringing a single site online involves hundreds of people, thousands of components, and decisions that move enormous amounts of capital. Much of that work still runs on spreadsheets and handoffs. At Anthropic, we're building software and Claude-powered tools to help Anthropic scale out its compute, and we think there's an enormous opportunity to rethink how that work gets done. It's early, it's already having a real impact, and the engineers who join now will shape how one of the most consequential buildouts in the world gets done. We're looking for strong, versatile software engineers who love building for people doing real work in the physical world. You'll embed with the teams that source sites, design buildings, procure equipment, and manage construction, learn their work deeply, and build the tools and systems they rely on every day. Datacenter experience is a big plus, but what matters most is that you can earn the trust of expert operators, model a messy domain cleanly, and move fast. Responsibilities Build the core systems that track a datacenter's lifecycle (sites, designs, bills of materials, equipment, and construction progress) in one trusted, permissioned source of truth Embed with datacenter, energy, and supply chain teams to understand how the work actually gets done, find the critical path, and build the tools they reach for first Bring order to messy data by migrating and reconciling spreadsheets and legacy trackers, and integrate with the industry's tools, like construction management, scheduling, and engineering systems Design for trust: fine-grained permissions, auditability, and data quality for information that steers major investment decisions Ship early, iterate with users, and cut anything that doesn't help bring compute online sooner Partner with research to understand new model capabilities and share where they fall short in engineering-heavy, physical-world domains You may be a good fit if you Have 8+ years of experience building software, with strong full-stack skills and solid grounding in data modeling, APIs, and databases Have built software that teams in a physical-world industry depend on, such as datacenters, construction, energy, manufacturing, supply chain, or logistics Have a track record of zero-to-one work in startup or startup-like environments Are deeply user-centric: you learn the domain from the people doing the work and validate with them before over-investing Bring high agency and good judgment about what matters, and hold strong opinions loosely Communicate clearly across engineering, operations, and research, and care about the societal impacts of your work Strong candidates may also have Experience in datacenters (at a hyperscaler, colocation provider, operator, utility, or engineering firm), or in adjacent fields like construction, logistics, or legal Experience with the domain's tooling, such as construction management (Procore, Autodesk Construction Cloud), scheduling (Primavera P6), PLM/BOM, ERP and procurement, CAD/BIM, DCIM, or power system studies A background in electrical, mechanical, or civil engineering, energy systems, or supply chain alongside a software career Experience building products with large language models Candidates need not have 100% of the skills listed above Formal certifications or education credentials Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tashkent, Uzbekistan Workplace: onsite Knauf stands for opportunity. We know that opportunity looks different to each person, and we are proud that we see opportunity in everyone. This exciting role within the Business & Process Department could be the perfect next opportunity for you to build a unique career, in a values-led culture with a clear purpose of making tomorrow a home for all of us. We are a family-owned global manufacturer of construction materials and within our Group, our 43,500 team members in 90 countries across 320 sites provide a huge opportunity for anyone with ambition and energy. We value everyone's contribution equally and we ask that you bring your whole self to work, to enrich the business further, as together we achieve more in a safe and inclusive environment. In Asia Pacific, since the 1990s Knauf has been established as a leading and trusted brand for drywall products and system solutions. Today, with over 5,500 experienced, talented, and diversified people operating nearly 35 production facilities and offices across the region, coupled with an extensive expertise-backed sales and support network, our teams deliver the best of Knauf to our customers, while supporting positive changes to the industry and communities where we operate – in Australia, China, Korea, Japan, India, Thailand, Indonesia, Vietnam, Philippines, Malaysia, Singapore, Central Asia, and the Caucasus. Reporting into Senior Business Process Manager , we are searching for a team member to join us as Process Excellence & Digital Transformation Manager (SAP ). Can you say yes? The Process Excellence & Digital Transformation Manager leads regional initiatives to simplify, standardise, and improve business processes across Asia-Pacific, with a primary focus on Central Asia and the Caucasus region. The role helps business units move from inconsistent, manual, or complex ways of working to clearer, faster, and more efficient processes supported by common definitions, practical guidelines, best practices, and fit-for-purpose system solutions. The role works closely with business units, Global Process Owners, and IT to identify operational pain points, analyse root causes, and design practical improvements that can be scaled across countries. This includes optimising SAP and other ERP processes, improving system usage and data quality, and reducing manual work through tools such as workflows, Robotic Process Automation (RPA), system interfaces, reporting solutions, and other automation opportunities. The successful candidate must be able to operate at both strategic and detailed levels: influencing senior stakeholders with clear recommendations while also working hands-on with process flows, data, system logic, and operational teams to deliver sustainable change. Operating at a managerial level of seniority , the role requires strong ownership, structured problem solving, and the ability to lead complex initiatives through influence in a regional, multi-country environment. What you will be doing Process Improvement & Change Leadership · Drive end-to-end process improvement initiatives , from problem definition through to solution design and implementation · Define and monitor success measures to assess adoption, process performance and realized business outcomes using feedback and data to drive continuous improvement. · Lead structured root cause analysis (e.g. data-driven analysis, process diagnostics) to identify underlying issues in business processes and systems. · Design practical, scalable process solutions , balancing standardization, control, and local business needs. · Act as a change agent , proactively challenging the status quo and guiding stakeholders through change. · Translate complex analysis and process issues into clear, compelling executive-level narratives, recommendations and business cases that enable senior management decision making . Project & Stakeholder Management · Take end-to-end ownership of assigned transformation initiatives, independently driving progress, resolving ambiguity and escalating decisions or risks where appropriate · Gather, document, and prioritize detailed business requirements. · Lead or support User Acceptance Testing (UAT) , ensuring solutions meet real business needs. · Act as a trusted partner to Global Process Owners, providing strong APAC input into global designs. Digitization & System Enablement · Identify opportunities to digitize and automate manual or inefficient processes . · Work closely with IT and data teams to translate business requirements into system and reporting solutions. · Support regional digitisation efforts through: Clear functional specifications Data and logic validation Hands-on testing and iteration What we would love for you to have Minimum 8 years’ experience in business process improvement, business analysis, or a similar role. Proven ability to diagnose complex business and system problems, perform deep root cause analysis, design and implement pragmatic, data-driven solutions Strong working knowledge of at least one SAP module (e.g. SD, FI/CO, PtM) with an understanding of associated business processes and data structures Hands on experience designing or implementing workflow automation solutions (e.g. Microsoft Power Platform/ Power Automate, SAP Build Process Automation, Nintex, ProcessMaker or other similar platforms ) OR Working knowledge of basic coding or scripting to support digitization and automation (e.g. Python, JSON, SQL ) Demonstrated experience communicating complex issues at executive level, synthesizing detail into clear insights and recommendations and influencing decisions without formal authority Project delivery experience across regional or multi-country settings Strong communication skills in English is a must (written and spoken) Russian language proficiency is highly advantageous What happens next? Your application will be reviewed by our Hiring Team to determine if your experiences and skills are what we are looking for in the role. If you are, our Talent Acquisition representative will contact you promptly to arrange for next steps.

Location: เขตปทุมวัน, Thailand Workplace: onsite Knauf stands for opportunity. We know that opportunity looks different to each person, and we are proud that we see opportunity in everyone. This exciting role within the Business & Process Department could be the perfect next opportunity for you to build a unique career, in a values-led culture with a clear purpose of making tomorrow a home for all of us. We are a family-owned global manufacturer of construction materials and within our Group, our 43,500 team members in 90 countries across 320 sites provide a huge opportunity for anyone with ambition and energy. We value everyone's contribution equally and we ask that you bring your whole self to work, to enrich the business further, as together we achieve more in a safe and inclusive environment. In Asia Pacific, since the 1990s Knauf has been established as a leading and trusted brand for drywall products and system solutions. Today, with over 5,500 experienced, talented, and diversified people operating nearly 35 production facilities and offices across the region, coupled with an extensive expertise-backed sales and support network, our teams deliver the best of Knauf to our customers, while supporting positive changes to the industry and communities where we operate – in Australia, China, Korea, Japan, India, Thailand, Indonesia, Vietnam, Philippines, Malaysia, Singapore, Central Asia, and the Caucasus. Reporting into Senior Business Process Manager , we are searching for a team member to join us as Business Process & Digital Transformation Specialist (SAP). Can you say yes? The Business Process & Digital Transformation Specialist (SAP) supports APAC business units by performing the hands-on process analysis and solution development needed to simplify, standardise and improve how work is performed. The role maps current-state processes , identifies bottlenecks , root causes , manual workarounds and system gaps , then converts these findings into practical improvement actions using structured methods such as Value Stream Mapping , Business Process Model and Notation (BPMN) , root cause analysis and data-driven problem solving . This position requires a hands-on professional who can move beyond documenting issues to designing, building and implementing workable solutions . The successful candidate should be able to analyse SAP-enabled business processes , understand system behaviour , define clear requirements , work with Global Process Owners and IT on enhancements, and directly develop practical digital solutions where appropriate, including workflow automation , reporting tools , scripts or low-code applications . The role’s core purpose is to improve operational effectiveness by combining process thinking , SAP knowledge , data analysis , automation capability and strong stakeholder engagement to deliver measurable , sustainable business outcomes across APAC. What you will be doing Process Improvement & Solution Design · Support and lead end-to-end process improvement initiatives, from problem definition and current-state assessment through solution design, implementation and stabilisation. · Perform structured root cause analysis using process, system and data evidence, going beyond issue identification to develop practical corrective and preventive solutions. · Design scalable processes that balance global standards, internal controls and local business requirements. · Define success measures and use feedback and performance data to evaluate adoption, effectiveness and realised business outcomes. · Document future-state processes, business rules, roles, controls and operating procedures in a clear and usable format. SAP & Digital Enablement · Analyse SAP-enabled business processes and system behaviour to identify opportunities for simplification, standardisation, digitisation and automation. · Translate business needs into clear functional requirements, user stories, process designs, data logic and acceptance criteria for IT and solution teams. Develop or support pragmatic digital solutions using approved automation, workflow, reporting and analytics tools. · Validate data and solution logic, coordinate or execute User Acceptance Testing, manage defects, and confirm that delivered solutions address the underlying business need. · Support SAP S/4HANA transformation and regional system rollouts by providing APAC process input, testing support, business readiness and post-go-live improvement. Project Delivery & Change Adoption · Own assigned workstreams and deliverables, maintaining clear scope, priorities, dependencies, risks, actions and stakeholder communication. · Partner with business units, Global Process Owners, IT and functional teams to align regional needs with global designs and influence decisions through facts and practical recommendations. · Prepare concise management updates, recommendations and business cases that convert complex process and system detail into clear decisions and actions. · Support change impact assessment, user communication, training, adoption and transition into business-as-usual operations. Regional Collaboration & Capability Building · Build trusted relationships across APAC and work effectively across cultures , functions and levels of seniority . · Share reusable process standards , tools , lessons learned and leading practices across business units. Coach process owners and key users in structured problem solving , process thinking and ownership of sustainable improvements . What we would love for you to have Minimum 3 years’ experience in business process improvement, business analysis, or a similar role. Strong working knowledge of at least one SAP module (e.g. SD, FI/CO, PtM) Ability to analyse process flows, SAP transactions and data structures, and translate findings into clear business and functional requirements. Demonstrated experience diagnosing business and system problems, performing root cause analysis, and implementing practical, data-driven solutions. Hands-on experience with at least one workflow, automation, reporting or scripting technology, such as Microsoft Power Platform, Power Automate, SAP Build Process Automation, Power BI, SQL, Python, VBA, JSON, Nintex, ProcessMaker or a comparable tool. Hands-on experience delivering process or system improvements through requirements definition, testing, implementation and user adoption. Experience working with cross-functional stakeholders in a regional, multi-country or complex matrix environment. Experience in manufacturing, building materials, supply chain, order-to-cash or related operational environments is advantageous SAP project, rollout or S/4HANA transformation experience is advantageous. What happens next? Your application will be reviewed by our Hiring Team to determine if your experiences and skills are what we are looking for in the role. If you are, our Talent Acquisition representative will contact you promptly to arrange for next steps.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Safeguards Enforcement team detects and mitigates misuse of Claude, and much of that work depends on people: a growing human review workforce made up of full-time staff, contractors, vendors and BPO partners. As that workforce scales across a widening range of harm areas, the programs that bring people in, give them the right access, and roll them off cleanly have to keep pace. As Program Manager for Safeguards Workforce Operations, you’ll own those programs end to end. You’ll run onboarding, offboarding, device provisioning and access provisioning for every worker type we use, working hands-on with the requests themselves while you build the processes that make them repeatable. You’ll partner with Enforcement leads to turn shifting priorities into capacity plans, and carry those plans through with our vendor partners. Because this role supports every Safeguards Enforcement program, you’ll also connect the dots across Anthropic, working with IT, People Operations, Security, Contingent Workforce, Human Data Operations and other teams running scaled human review to streamline practices and keep standards consistent. This is a role for someone who likes fixing broken things at speed. The landscape moves quickly, priorities change often, and the work is an even mix of direct execution and program building. Key responsibilities Own the workforce lifecycle for contractor, vendor and BPO reviewers: onboarding, offboarding, device provisioning and access provisioning Triage and execute inbound requests for new or changing vendor, BPO and contractor capacity Turn ad hoc or broken processes into scalable ones, with clear owners, service levels and a system of record Partner with IT and Security on access governance: least-privilege provisioning, timely revocation and regular access reviews Build and maintain capacity plans with Enforcement leads, translating review demand into workforce needs and adjusting as priorities shift Work with Safeguards vendor management to hold partners accountable to capacity and onboarding commitments Align practices with Human Data Operations and other teams running scaled human review, and help them streamline their own workflows Help define the long-term workforce strategy for Safeguards Enforcement Minimum qualifications Have personally run onboarding, offboarding, access and device provisioning for contractor, vendor or BPO workforces — doing the work, not only overseeing it Have operated scaled human review programs with vendors or BPOs, such as trust & safety, content moderation or data annotation operations Have taken a broken or ad hoc process, made it scalable, and brought other teams along in adopting it Understand the fundamentals of capacity planning: how volume, handle time, quality targets, ramp and attrition turn into workforce needs Exercise sound judgment on access and permissions, and know when to bring in IT or Security Move quickly and stay effective when priorities change and information is incomplete Build alignment through direct partnership with the teams you depend on Preferred qualifications Owned a vendor or BPO relationship directly, including service levels and business reviews Built formal capacity models for review or operations workforces Supported workforces across more than one enforcement or harm area Hands-on experience with device management and identity and access tooling Worked through a period of hypergrowth where programs had to mature alongside the organization The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We're looking for a Visiting Sales Associate based in our New York office to support our sales and revenue teams as we scale Peec AI's customer base in the US. In this role, you'll work closely with the sales team on deal execution, sales content, and CRM operations while helping improve the systems and automations that power our revenue engine. You'll gain hands-on exposure to modern B2B SaaS sales, from outreach and pipeline management to revenue operations and automation, making this an ideal role for someone eager to learn quickly and help build a fast-growing startup's go-to-market presence in New York. WHAT YOU'LL DO - Support the sales team in closing deals and managing key client relationships - Develop sales content, from outreach sequences to pitch decks and case studies - Design and implement automations across our sales stack to improve efficiency and tracking - Contribute to revenue operations by analyzing metrics, improving CRM hygiene, and streamlining data flows - Jump into new challenges, learn fast, and help make things happen WHAT WE'RE LOOKING FOR - Currently studying, on a gap semester, or recently graduated, and available to start immediately full-time in New York for 3–6 months - Strong interest in B2B SaaS, startups, and revenue growth - Exceptional communication skills, written and verbal: you're comfortable reaching out to people and building relationships - Analytical mindset and structured approach to problem-solving - Solid grasp of technology and excitement to work hands-on with cutting-edge AI and automation tools - Self-starter with a bias for action, eager to learn, and comfortable with ambiguity - Low-ego team player who's easy to work with and doesn't shy away from rolling up their sleeves for operational tasks BONUS POINTS - Experience with tools like HubSpot, Clay, Lemlist, Apollo, Notion, or n8n - Exposure to sales operations, CRM management, or data-driven growth - Have built your own startup or cool projects you're proud of WHAT WE OFFER - A rolling internship program with flexible start dates (minimum 3-month duration) - A high-impact internship at one of the fastest-growing Series A startups in AI, as part of the team building our New York office from the ground up - Real ownership and visibility across the sales and revenue organization - Regular team events and off-sites - Dinner on us every evening, plus Uber rides home when working late - A collaborative, high-energy in-office work environment in NYC EEOC Statement Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. Compensation The pay range for this internship is $6,000 per month. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

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 Join Anthropic's Commercial Legal team as a Technical AI implementation specialist, where you'll be responsible for leveraging Claude and other technologies to scale and increase efficiency of legal operations. You'll drive AI adoption across team workflows, optimize internal tooling, and lead cross-functional initiatives to enhance productivity. This role offers the unique opportunity to shape the future of legal operations through technology while working with Claude and other business critical systems. Key responsibilities Implement AI-powered solutions to streamline contract review and redlining processes Manage integrations between existing legal systems and AI tools Develop automated self-service solutions for high-volume, low-touch contracting processes, including FAQ chatbots and guided workflows Create AI-based tools for handling commercial contract diligence requests Optimize contract management platforms with AI capabilities Create and manage comprehensive program plans, including timelines, budgets, and resource allocation, to guide project execution Build and maintain metrics dashboards to track efficiency improvements Establish practical governance processes for AI use in legal operations Coordinate with Engineering and Product teams on solution development Identify and mitigate potential risks and issues that could affect program success, ensuring proactive problem-solving Minimum qualifications Experience evaluating and implementing legal technology platforms such as contract management systems, workflow management systems, or document management tools Show genuine curiosity about AI/ML applications and hands-on experience with LLM tools (especially Claude!) Possess excellent problem-solving skills and can translate legal business needs into scalable technical solutions Excel at cross-functional collaboration and can communicate effectively with both technical and legal stakeholders Self-directed and can manage multiple technical projects simultaneously Preferred qualifications At least 5 years of relevant experience in legal operations, legal technology, or technical roles supporting legal teams Technical aptitude with system integration knowledge Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excellent verbal and written communication, analytical, collaboration, and interpersonal skills Proven project management skills, including the ability to prioritize tasks, meet deadlines, manage multiple projects simultaneously, and deliver quality results Collaborative team player mindset with genuine interest in technology development and AI, thriving in fast-paced environments Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $170,000 — $220,000 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: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience. At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now. Role We are looking for a Senior Data Analyst to own end-to-end analytics for our core engines. In this role, you won't just build dashboards, you will partner directly with Business Leaders to define roadmaps, business cases, and design synthetic experiments. You will turn ambiguous data into an actionable strategy that directly impacts customer conversion, driver efficiency, and growth. What You’ll Do Product Partnership & Strategy: Collaborate with Product Managers, Strategy Directors and Business leaders to translate complex business problems into data-driven product features and strategic roadmaps. Experimentation & A/B Testing: Design, implement, and analyze rigorous A/B and multivariate tests to evaluate feature launches, pricing mechanics, and UX changes across our apps. Funnel & Marketplace Optimization: Deep-dive into consumer retention, funnel conversion, courier dispatch dynamics, and merchant metrics to unlock business growth and improve unit economics. Metric Standardization: Define core product KPIs and maintain a single source of truth by building robust data models (data warehouse) and production-grade dashboards (Tableau). Data Quality & Infrastructure: Enforce strict data validation standards, maintain data governance across clickstream/event tracking, and ensure downstream reporting reliability. Technical Leadership: Mentor junior analysts, lead code reviews for analytical SQL scripts, and elevate overall analytics best practices across the team. What We’re Looking For Experience: 4+ years of data analytics experience, ideally in a product-led tech company, hyper-growth startup, or multi-sided marketplace (e.g., delivery, ride-hailing, e-commerce). Advanced SQL Mastery: Recognized expert in writing clean, modular, scalable SQL code optimized for complex datasets. Statistical Rigor & Python/R: Strong understanding of hypothesis testing, causal inference, and statistical modeling using Python or R. BI & Data Modeling: Hands-on experience building centralized dashboards in Tableau and working with modern data stack tools (dbt, Snowflake, BigQuery, Databricks). Product Intuition: Demonstrated track record of leveraging user behavior analytics (event tracking, cohort analysis, funnel drop-off) to directly influence product decisions. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or an equivalent quantitative field. Nice to Have Experience working with clickstream tools (Mixpanel, Amplitude, Segment). Hands-on knowledge of data engineering tools or orchestration frameworks (Airflow, dbt). Experience in experimentation tools (Statsig)

Location: Seattle, United States; Atlanta, United States; Baltimore, United States; Toronto, Canada; Austin, United States; Denver, United States TuxCare offers a portfolio of security solutions for Linux and open-source software aimed at enterprise organizations. With TuxCare, enterprises can automate live vulnerability patching, minimize downtime, keep their applications secure and compliant, and get support from a team that knows Linux security best – covering the most popular Linux distributions, end-of-life systems, programming languages, and much more. We’re looking for a Head of Direct Sales to lead TuxCare’s direct sales organization across North America and EMEA. Reporting to the Chief Revenue Officer, you will lead a distributed team responsible for new customer acquisition, growth within existing accounts, and renewals. This is a hands-on sales leadership role. Our solutions, including SecureChain and Extended Lifecycle Support for RHEL-based Linux alternatives (ELS for RLA), call for thoughtful discovery, tailored proposals, and flexible deal structures. You’ll coach the team through live opportunities, help shape complex deals, and build a sales approach grounded in each customer’s security and business needs. Responsabilties: Set and execute the direct sales strategy across North America and EMEA, turning revenue goals and territory plans into clear priorities for the team. Lead, coach, and develop Enterprise Account Executives, Account Executives, account management, renewals, and sales development team members. Work closely with sales representatives on active deals, helping them uncover customer needs, communicate business value, and develop effective proposals. Support complex and strategic opportunities, including customer conversations, negotiations, and requests for tailored packaging or terms. Drive performance across new business, account growth, and renewals while maintaining a healthy pipeline and accurate forecasts. Review sales results and win/loss trends to identify coaching opportunities and improve the team’s approach. Build strong relationships with strategic customers and identify opportunities to grow TuxCare’s presence in both regions. Partner with Marketing, Revenue Operations, Product, and Finance to improve go-to-market execution and resolve customer needs. Hire, onboard, and develop sales talent across North America and EMEA. Represent TuxCare at relevant industry events and provide regular performance and forecast updates to the CRO and executive team. Requirements Proven experience leading direct sales teams across North America and EMEA, with a strong record of achieving revenue targets. Required: Direct sales or sales leadership experience in software supply chain security, software composition analysis (SCA), application security, or DevSecOps. Candidates must have sold enterprise solutions in this sector; experience selling general IT or infrastructure software alone does not meet this requirement. Hands-on experience selling solutions to buyers concerned with software vulnerabilities, end-of-life systems, compliance, or open-source security. Strong deal-coaching and value-selling skills, including experience with tailored product packaging and dynamic pricing. The ability to turn technical challenges into a clear business case for both technical and executive stakeholders. Experience managing new customer acquisition, account growth, and renewal motions. Strong forecasting, pipeline management, negotiation, and presentation skills. A coaching style that combines support, clear expectations, and accountability. Familiarity with MEDDPICC or a comparable enterprise sales qualification methodology. Willingness to travel as needed. Benefits What's in it for you? A strong focus on professional development with opportunities for learning and growth: Interesting and challenging projects, Mentor and other knowledge-exchange programs; Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide; Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves to ensure you maintain a healthy work-life balance; Compensation for private medical insurance; Co-working and gym/sports reimbursement; The opportunity to receive a reward for the most innovative idea that the company can patent, fostering a culture of creativity and innovation.

Location: Cyprus; Russia; Poland; Belarus; Georgia; Romania About the Role We are an international broker. Our clients fund and withdraw through approximately 60 payment methods across Asia, Africa, LATAM, and the Middle East. Payments Product is now a standalone function, and we are building the team around it. This is an early core hire. We are looking for a Payment Integration Manager who will own payment integrations end to end—from the initial technical call with a provider through to stable production. You will also be the first line of response for every payment incident and the person responsible for deciding whether a new integration is ready to go live. This is a technical operations role rather than a coordination role. Key Responsibilities 1. Payment Provider Onboarding & Integration Manage the full onboarding cycle for new payment providers, including: Initial technical calls Credentials and sandbox access Configuration and test design User Acceptance Testing (UAT) Production launch Post-release stabilisation Define integration acceptance standards and own the go/no-go decision before launch. Review provider API documentation and translate it into implementation-ready specifications for engineering, covering edge cases, failure paths, and confirmation model behaviour. 2. Payment Incident Management Own the first-line response for payment incidents, including: Failed and stuck transactions Unconfirmed payments Payment method-level anomalies Investigate and drive incidents to resolution rather than simply escalating them. Diagnose provider-side versus platform-side issues using logs, API responses, and transaction data. Communicate findings clearly to providers, engineers, and internal stakeholders. 3. Technical Testing & Verification Perform hands-on verification of payment integrations. Conduct manual checkout testing across mobile and desktop. Verify callbacks and API behaviour using Postman or equivalent tools. Execute SQL queries to investigate transaction data. Validate asynchronous payment statuses, confirmation models, redirect flows, and failure scenarios. 4. Payment Method & Provider Catalogue Maintain a comprehensive catalogue of payment methods and providers, documenting: Supported capabilities Available integration types Completed testing Known failure modes Build the initial capability inventory of all live payment methods and providers. Convert ambiguous provider documentation and undocumented operational knowledge into actionable specifications. 5. Payment Performance Analysis Produce a 90-day breakdown of deposit attempts, categorised by outcome: Completed transactions Declined by the provider Abandoned by the user Abandoned during redirect Completed but never confirmed back to the platform Requirements Essential Qualifications & Experience 4+ years of experience in payments, PSP integrations, or fintech platforms, with hands-on ownership of integrations rather than coordination alone. Working knowledge of APIs, webhooks, asynchronous payment statuses, callback mechanics, confirmation models, redirect flows, and common failure modes. Ability to review provider API specifications and identify missing information. Experience using Postman or equivalent tools for API testing. Experience performing structured checkout testing across mobile and desktop. Proven ability to investigate live payment incidents using logs and API responses. Ability to distinguish provider-side issues from platform-side problems. Experience translating incomplete or ambiguous technical documentation into clear specifications for engineering. Strong communication skills and composure during incidents. Basic knowledge of using AI tools in daily work. Working proficiency in both English and Russian, as both languages are used daily. What Success Looks Like in the First Year First Few Months — Operational Ownership Take ownership of first-line payment incidents, build the payment method and provider catalogue using documentation and direct investigation, and produce the 90-day deposit attempt analysis. By Mid-Year — Integration Acceptance Standards Establish the integration acceptance framework and apply it to a live provider onboarding process, from initial engagement through production launch. Second Half — Established Processes & Decision-MakingAs the team expands, a Systems Analyst will assume responsibility for formal verification, while the integration acceptance gate remains under your ownership. Maintain an accurate and up-to-date provider catalogue, ensure the integration acceptance gate is fully operational, and take ownership of incident-related decisions. Recruitment Process Our recruitment process consists of four stages: HR Interview: Background, motivation, and overall role alignment. Technical Interview: Payment integration knowledge, technical tools, hands-on experience, and incident diagnosis. Product & Problem-Solving Interview: Integration decisions, prioritisation, and practical problem-solving. Final Interview: Discussion with senior stakeholder. Benefits Fixed monthly compensation of [depending on experience] Fully remote work within GMT to GMT+4, with no relocation required End-to-end ownership of a provider from first call to production, and the go or no-go decision on every integration Scope that grows with the business: cards, alternative payment methods, a card programme and new entities Corporate AI tooling as part of the working process

Задачи: — Формализация процессов и управление требованиями к продукту (анализ документов и спецификаций, интервью, работа со стейкхолдерами, написание SRS); — Разработка схем процессов и архитектуры сервиса (BPMN 2.0, PlantUML (диаграммы классов, последовательностей, компонентов, состояний), С4, ERD); — Описание интеграционных взаимодействий (REST API, Kafka/RabbitMQ); — Описание интеграций back-to-back (маппинг полей, сценарии ошибок, retry-логика, idempotency, rate limiting, форматы обмена); — Проведение рабочих встреч, коммуникация с партнерами и оформление протоколов; — Участие в подготовке проектной документации (Jira, Confluence, SDD). Требования: — Понимание архитектуры веб-приложений (клиент-серверное взаимодействие, микросервисы, базы данных, кэширование); — Владение техниками сбора, управления и фиксирования требований (User Story, Use Cases); — Знание нотаций моделирования процессов (BPMN, UML Sequence, UML Use Cases); — Опыт работы с интеграциями (REST / gRPC, понимание JSON / XML, HTTP-статусы, webhook, polling, очереди (Kafka / RabbitMQ)); — Гибкость: готовность быстро переключаться между задачами в условиях большого количества параллельных интеграций; — Высокая коммуникативность: умение вести переговоры с техническими и нетехническими стейкхолдерами, включая внешних партнёров. Будет плюсом: — Опыт работы с ticketing-платформами, агрегаторами (Яндекс.Афиша, Касса.РФ и т.п.) или travel-сервисами; — Понимание специфики платёжных интеграций (3-D Secure, холды, рекуррентные платежи, chargeback); — Умение работать с SQL и NoSQL (PostgeSQL, MongoDB); — Опыт работы с поисковыми системами (OpenSearch, ElasticSearch); — Понимание DevOps на уровне концепций (CI/CD, Docker, Kubernetes); — Понимание процессов тестирования (end-to-end тестирование, Kibana); — Умение читать/понимать C# и Javascript (Vue.js), HTML. Условия: — Официальное трудоустройство; — Офисный формат работы на испытательном сроке, после прохождения - гибридный формат работы; — Современный офис (на Даниловской мануфактуре), собственный спортзал от «Лиги Героев», а также занятия волейболом, футболом, настольный теннис, бокс и групповые тренировки «Здоровая спина»; — ДМС со стоматологией, доплату больничного листа, корпоративные скидки; — Электронную библиотеку издательства МИФ, в которую входят почти 2 тыс. единиц контента по бизнесу, саморазвитию, здоровому образу жизни и другим актуальным темам; — Бесплатную подписку на сервисы партнеров; — Насыщенную корпоративную жизнь.

Задачи: — участие в планировании спринтов и продуктовых бэклогов, декомпозиции и формировании требований к доработкам — проработка архитектурных решений — исследование бизнес-процессов и клиентских путей, подлежащих автоматизации — взаимодействие с заказчиком с целью сбора информации, уточнение бизнес-требований — сбор, анализ, проработка и согласование системных требований к АС и интеграциям со смежными системами — декомпозиция бизнес-требований — документирование API с помощью Swagger/OpenAPI — подготовка технической документации для описания функционала системы и интеграционных интерфейсов — экспертная поддержка тестирования (в т.ч. при подготовке тест-кейсов), приёмки, внедрения и сопровождения систем. Требования: — опыт работы системным аналитиком от 5 лет — опыт проектирования и анализа автоматизированных систем — знание методологий анализа и моделирования бизнес-процессов, опыт применения нотаций BPMN, UML (sequence-диаграммы) — понимание принципов ООП и умение применять их при анализе предметной области с использованием ERD-диаграмм для проектирования структуры данных, знание основ БД — навык декомпозиции задач и работы с сущностями пользовательских историй (User Story) и вариантов использования (Use Cases) — опыт проектирования интеграционных взаимодействий с нуля (REST API) — опыт работы в рамках Agile/Scrum — опыт работы с системами управления задачами и базой знаний (Jira, Confluence) — системное мышление, аналитический подход к решению задач, умение структурировать информацию и описывать сложные вещи простым и понятным языком — базовый уровень английского языка для чтения технической документации и общения с командой разработчиков — опыт использования LLM, навыки создания и использования AI-агентов Будет преимуществом: — опыт работы с брокерами сообщений (Kafka, MQ) — опыт инструментального использования AI для анализа, генерации и автоматизации. Условия: — срочный трудовой договор до 01.07.2027 — гибридный формат работы, после испытательного срока — годовой бонус и ежегодный пересмотр зарплаты — расширенный ДМС с первого дня и льготное страхование для семьи — корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях — 90 дней удаленной работы из любого региона РФ — льготная ипотека в Сбере — подписка Прайм с возможностью совместного использования на трёх близких.

Location: New York City Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We're looking for an AI Search Manager to help our customers succeed in the new era of AI-driven search. In this role, you'll onboard new clients, support them in improving their visibility across search engines, AI assistants, and emerging generative surfaces, and grow your expertise alongside our senior strategists. You'll pair solid SEO fundamentals with strong communication skills, analyzing websites and search performance, preparing recommendations, and helping clients turn insights into action. Working closely with Sales, Growth, and Product, you'll also contribute to how we enable customers and shape best practices for succeeding in AI-powered search. WHAT YOU'LL DO - Onboard and activate new clients, and educate them on how to get the most out of Peec AI to improve their visibility in AI search - Review websites, content, and search performance to identify AI search opportunities across platforms, and turn your findings into clear recommendations - Prepare for and co-lead advisory sessions with brands and agencies, working alongside senior strategists to build GEO strategies and roadmaps - Support clients on day-to-day GEO questions, from strategic guidance to hands-on execution - Manage a portfolio of clients, keeping a close eye on usage and account health, and flag churn risks or expansion opportunities to the team - Collaborate with Sales, Growth, and Product to improve activation journeys, case studies, and customer enablement materials WHAT WE'RE LOOKING FOR - 1–3 years of hands-on SEO or organic growth experience, whether at an agency, in-house, or at a SaaS company - Solid understanding of SEO fundamentals, including technical SEO basics, content strategy, and search intent, plus curiosity about how organic performance drives business outcomes - Comfort working directly with clients: you can present findings clearly and are eager to build your consulting skills - Ability to explain SEO concepts in simple, actionable language for marketing and brand teams - Excitement about the shift from "10 blue links" to generative search, and motivation to learn fast at the frontier of that change - Confident verbal and written communication skills in English for client calls, workshops, and written recommendations BONUS POINTS - Experience at a top-tier SEO agency or supporting client-facing SEO projects - Initial experience with AI search, or experimenting with how brands show up in AI assistants - Exposure to building SEO playbooks, content strategies, or reporting for clients - Experience in a high-growth, venture-backed SaaS or marketing tech environment - Confident verbal and written communication skills in German WHAT WE OFFER - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC Statement Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. Compensation The base salary range for this position is $80,000 to $120,000 annually with anticipated on-target earnings being $100,000-$150,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them. This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Own deployment outcomes for your assigned sites and data-hall waves: CUs and hall ready-for-service dates met, with exceptions closed out, or risk called early enough for leadership to act. Engage from construction kickoff and confirm deployment readiness ahead of each wave - floor access, power, network, receiving paths, and partner staffing - working the gaps with the site operations partner and facilities counterparts before racks arrive. Be on site at key points before and during delivery, deployment, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. Work with partner's site leadership to ensure success through rack delivery and receiving, integration QA, power-on and network turn-up, and burn-in and validation, setting daily priorities and quality gates and confirming results against Anthropic-owned ticket and telemetry data. Validate the handover gate for each CU and data hall: acceptance criteria met, burn-in complete, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the maintenance program. Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements: procedures, checklists, acceptance standards, and metrics, so the next wave runs faster and cleaner than the last. Extend the deployment program to new sites and platforms, adapting standards and acceptance criteria as the hardware changes. Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, the team that owns the overall site schedule, and leadership. You may be a good fit if you: Have 8+ years of experience in data center operations or hardware deployment as a manager, technical lead or related role, including accountability for delivery milestones. Can demonstrate a proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves, from early floor access through ready for service. Have managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, quality gates, operational reviews, and corrective action. Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify deployment quality and audit vendor claims. Have built or substantially improved operational processes. Are comfortable working with schedule, ticket, and telemetry data to drive decisions. Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% Travel expected. Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including bring-up of liquid-cooled racks. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. Experience deploying more than one accelerator platform, or introducing a new hardware platform into an existing deployment program. Experience delivering deployment outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. Familiarity with dense accelerator network cabling, optics, and high-speed interconnect at rack and pod scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.