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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer. Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally. Responsibilities: Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners Minimum Qualifications: Proficiency in Python, SQL, and data analysis tools Experience building or operating fraud, risk, or abuse detection systems in production Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders Preferred Qualifications: 8+ years of industry software engineering experience, with a focus on payments fraud or risk Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team 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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function. You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable. This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority. We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job. Key responsibilities Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap Minimum qualifications Hands-on application and infrastructure security experience, including cloud and containerized environments Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems Comfort operating with high autonomy, ambiguity, and tightly-held confidential context Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company Preferred qualifications 7+ years in application security, security consulting, or security architecture Prior M&A security due diligence, third-party security assessment, or technical due diligence experience Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases Track record of building security automation or tooling rather than relying solely on manual review Familiarity with using LLMs as a core part of your security workflow Experience securing agentic, code-execution, or LLM-integrated systems Representative projects Point Anthropic's internal LLM-driven code analysis and AI-assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks Design the risk-scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto-patching, and bounty scope without a human running a checklist Write the security risk memo for a live deal and present it to corporate development and security leadership The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Palo Alto; New York; San Francisco Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a People Operations Manager on the People team, you will build, scale, and manage the operational infrastructure that supports our team in North America and drives our international expansion. This role exists to ensure our regional HR operations run seamlessly, keeping the company fully compliant while executing a high-touch, reliable support system for our growing team. You will lead the end-to-end employee lifecycle operations for the region, managing everything from North American payroll and local benefits to complex global mobility and visa tracking. Your impact will be felt directly through your ability to establish compliant HR frameworks in entirely new countries and streamline our internal operational workflows. This position requires a balance of strategic process engineering and hands-on administrative execution. You will own the operational foundation—ensuring data integrity across our HRIS software, building scalable vendor partnerships, and addressing daily employee inquiries with a strong service-oriented approach. WHAT YOU WILL DO - Manage and process payroll for all employees across the North America region, partnering with local providers and internal Finance teams to ensure precise, on-time execution. - Launch HR operations in new countries, deploying localized employee benefits programs, setting up compliant entities, and establishing local operational policies. - Own the onboarding and lifecycle documentation, formalizing labor contracts, amendments, and internal status changes securely within our HRIS. - Coordinate global mobility and immigration, directly managing visas for new hires and navigating compliance requirements for international team work trips. - Resolve daily employee inquiries regarding benefits enrollment, policy clarifications, and routine payroll changes with clear and timely communication. - Audit and optimize internal HR workflows, identifying opportunities for software automation and benchmarking external vendors to maximize administrative efficiency. - Maintain core compliance frameworks, keeping employee handbooks up to date and monitoring regional shifts in employment regulations to protect the company. WHAT WE'RE LOOKING FOR - 5-10 years of progressive HR experience, ideally within a high-growth environment, alongside a degree in Human Resources, Business Administration, or a related field. - Strong knowledge of US employment laws, compliance regulations, and a deep understanding of regional and international payroll and tax regulations. - Proven experience managing the full employee lifecycle and successfully deploying benefits and HR compliance structures in new international regions. - High technical proficiency with modern HRIS systems, automated payroll platforms, and operational data tracking tools. - A dedicated internal service mindset with the communication and interpersonal skills required to navigate sensitive employee situations and vendor negotiations. - Strong analytical and problem-solving abilities, with a track record of turning complex regulatory requirements into clear internal procedures. - A practical, hands-on execution style combined with a builder mindset—you enjoy creating order out of ambiguity and actively executing daily operational tasks. 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: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a People Operations Manager on the People team, you will build, scale, and maintain the operational foundation that supports our team in France. This role exists to ensure our daily HR processes run seamlessly, keeping the company fully compliant while delivering a reliable, clear, and high-quality experience for every employee. You will act as the primary point of contact for employee lifecycle milestones, everyday operations, and external vendor relations. Your impact will be felt directly through the precision of our monthly payroll, the clarity of our internal policies, and the efficiency of our onboarding systems. This position requires a balanced blend of hands-on administrative execution and process engineering. You will own the full operational landscape—from local labor contracts and complex immigration cases to scaling our HRIS software—while constantly identifying opportunities to automate workflows and reduce friction. WHAT YOU WILL DO - Process payroll end-to-end for France-based employees, collaborating closely with external providers and our internal Finance team to ensure timely, precise execution. - Own the onboarding journey, managing labor contracts, amendments, certificates, and system updates so new hires are integrated accurately from day one. - Navigate immigration and mobility requests, directly managing work permits, visa renewals, and National Security Number applications. - Resolve daily employee inquiries regarding benefits administration, enrollment changes, and company policies with clear and prompt support. - Maintain compliance infrastructure, regularly updating employee handbooks and monitoring shifts in French employment law to protect the company. - Lead HR software initiatives and vendor management projects to evaluate, implement, and refine our HRIS and payroll tools. - Streamline operational workflows by documenting, automating, and auditing existing procedures to eliminate administrative bottlenecks. WHAT WE'RE LOOKING FOR - 5 to 10 years of progressive HR experience, ideally within a startup or high-growth environment, alongside a degree in HR, Business Administration, or a related field. - Deep operational knowledge of French labor laws, local employment regulations, national payroll structures, and tax compliance. - Proven experience managing the entire employee lifecycle from onboarding through retention strategies to formal offboarding. - Technical proficiency with modern HR technology solutions, including HRIS platforms and automated payroll tools. - Strong analytical and problem-solving skills, with the ability to interpret regulatory updates into practical internal policies. - A practical, hands-on execution style combined with a builder mindset—you genuinely enjoy creating order out of ambiguity and setting up scalable systems. - Clear, direct communication and interpersonal skills to manage sensitive employee topics and coordinate effectively with external vendors.     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: London 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. About Mistral    At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   Role Summary:   As our Enterprise Sales Executive, you will be instrumental in shaping Mistral’s adoption with our largest customers across a variety of industries. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.   What you will do:   Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved   Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts   Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team   Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives   Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns   Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities   Who you are:   - 7-10 years experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within AI ecosystem or related data/infrastructure field - Experience at successful fast growing startup, ideally in deep-tech - Strong technical skills to navigate quickly evolving products and steer technical discussions - Excellent English & French, additional language welcome (e.g. German, Spanish, etc.) - Outstanding negotiation and communication skills   What We Offer:   💰 Competitive cash salary and equity 🥕 Food : Daily lunch vouchers 🥎 Sport : Monthly contribution to a Gym pass subscription  🚴 Transportation : Monthly contribution to a mobility pass 🧑‍⚕ Health : Full health insurance for you and your family 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship   By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. 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: Munich ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY    As part of our rapid global expansion we are looking for a Strategic Partner Lead for our SAP partnership in Germany to join our first-on-the-ground Germany Partner GTM team. Our ambitions are high and wide and to bring to market the most advanced AI technology, we are building a best-in-class Go-To-Market team. Builders wanted! In this role you will be instrumental in driving the strategy and execution for our SAP partnership globally.   WHAT YOU WILL DO   Build strategic partnership plans and executive relationships: - Negotiate or enhance partnership agreements and contracts, ensuring they are mutually beneficial and align with our company's interests. - Develop and execute strategic plans to drive pipeline and co-selling activities with SAP in Europe, APAC and the US. - Own end-to-end partnership responsibilities including financial business outcomes, co-sell, technical integrations, joint marketing campaigns, etc. - Develop and drive Mistral on SAP offerings including Sovereign AI - Expand the partnership within SAP to new product teams, industry sales teams, etc. - Align partner executive stakeholders to key Mistral executive counterparts.   Execute SAP plans to drive results: - Execute strategic partnership plans to achieve pipeline and revenue results as a critical part of the Global GTM team. - Serve as a point of escalation to help resolve field conflicts using your network of key contacts within both companies as well as your knowledge of each company’s strategic priorities - Lead the development and communication of the partnership performance analysis, including financial performance, agreed metrics, and related insights. - Provide enablement and support to strategic partners to ensure they are effectively promoting and selling our products or services.   Company Builder and Collaborator: - Collaborate with cross-functional teams to ensure the successful implementation of partnership initiatives. - Work with Mistral engineering and products team to help advance the customer experience for Mistral’s models and tools on SAP’s platform, including defining new routes to market through the SAP partnership - Develop a strong collaboration with Mistral’s GTM team to help drive pipeline and help advance opportunities to closure. - Align SAP Global and regional sales teams with Mistral’s sales counterparts and facilitate a regular MBR cadence.   WHO YOU ARE:   - Bachelor's degree in Business, Marketing, Information Technology, or a related field. An MBA or related advanced degree is preferred. - Minimum of 10 years of experience in GTM roles with 5+ years experience in partner management, business development or sales roles. - Deep knowledge and past experience working in the specific SAP ecosystem (organizational structure, relationships, offerings), preferably with the SAP AI teams. - Understanding of Sovereign AI partnerships and offerings - Ideally, a strong network at global level within SAP’s partner organizations.  - Knowledge of the SAP partner ecosystem and the sales motion between SAP and it partners - Excellent negotiation, communication, and interpersonal skills. - Strong understanding of the technology or software industry, with a focus on Cloud partnerships. - Ability to travel as needed to meet with strategic partners and attend industry events. - Strong analytical skills, with the ability to monitor and analyze partnership performance and provide actionable insights. - Builder and self-starter with the ability to work independently and as part of a team.     WHAT WE OFFER:   💰 Competitive cash salary and equity 🥕 Food : 150€ Monthly meal allowance 🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to your mobility (parking charges or public transport) 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship   By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. 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: Munich 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. About Mistral    At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   Role Summary:   As our Enterprise Sales Executive, you will be instrumental in shaping Mistral’s adoption with our largest customers across a variety of industries. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.   What you will do:   Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved   Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts   Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team   Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives   Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns   Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities   Who you are:   - 7-10 years experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within AI ecosystem or related data/infrastructure field - Experience at successful fast growing startup, ideally in deep-tech - Strong technical skills to navigate quickly evolving products and steer technical discussions - Excellent German and English - Outstanding negotiation and communication skills   What We Offer:   💰 Competitive cash salary and equity 🥕 Food : Daily lunch vouchers 🥎 Sport : Monthly contribution to a Gym pass subscription  🚴 Transportation : Monthly contribution to a mobility pass 🧑‍⚕ Health : Full health insurance for you and your family 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship   By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. 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: NYC Office Workplace: Hybrid Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.   Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.   We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.   We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us! THE ROLE You'll build Tempo's partnerships function from the ground up — designing and executing 1:many partnership motions across infra, ecosystem, and SI partners that drive enterprise adoption of Tempo. This is a foundational GTM hire with direct impact on how the largest companies in the world onboard into crypto. RESPONSIBILITIES - Build Tempo's partnerships strategy and playbook from zero — infra partners, ecosystem partners, system integrators, and beyond - Identify, negotiate, and close large strategic partnerships that generate meaningful pipeline - Design scalable 1:many partnership structures, not one-off deals - Drive revenue through partner-sourced and partner-influenced deals - Work directly with product and engineering to scope partnership integrations and co-build opportunities - Represent Tempo externally at the highest levels — partner exec teams, industry events, ecosystem forums - Stand up the operational infrastructure for partnerships: tracking, reporting, partner enablement - Collaborate closely with Tempo's GTM team to align partnerships with direct sales and enterprise motions QUALIFICATIONS - 8+ years in partnerships, BD, or GTM roles with demonstrated quota or pipeline ownership - Deep domain expertise in stablecoins, payments, or fintech infrastructure - Proven track record building scaled partnership programs — not just inheriting them - Experience structuring and closing complex, multi-stakeholder strategic deals - Familiarity with crypto infrastructure, blockchain ecosystems, or enterprise crypto adoption - Comfortable operating as a founding function owner with no existing playbook - Based in or willing to be in New York

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 Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai , Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't. Key responsibilities Lead a team of engineers building the connectivity infrastructure that powers tool use across Anthropic's product suite, from the MCP proxy to OAuth and token management Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team Coach, mentor, and provide career development guidance to your direct reports, helping them set and achieve their professional goals Partner with Connectivity engineering leadership in San Francisco, along with product, security, and platform teams, to define the team's roadmap and create clarity for the team in an ambiguous and evolving environment Drive cross-team and cross-org alignment to ship work that spans claude.ai , Claude Code, Cowork, and the API, working effectively with teams primarily based in the US Establish and drive adoption of engineering best practices within your team, including the operational rigor (on-call, incident response, postmortems) required for infrastructure that other teams and external partners depend on Contribute to engineering-wide initiatives as a member of Anthropic's engineering management team Minimum qualifications Experience managing software engineering teams, including hiring, coaching, and performance management A technical background in backend or platform engineering, with the depth to guide architectural decisions and engage credibly in technical discussions Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale Excellent communication skills, with the ability to build consensus across teams and time zones Demonstrated success building a culture of belonging, and of product and engineering excellence Preferred qualifications 3+ years of experience as an engineering manager Familiarity with MCP or experience contributing to open standards or open source ecosystems Experience leading teams that collaborate closely with distributed or cross-timezone partner teams Familiarity with authentication and authorization concepts such as OAuth, token management, or identity systems Experience building or operating API gateways, proxies, or multi-tenant platforms Experience building for enterprise customers, including admin controls, governance, and compliance requirements Experience working on AI/ML products or agentic systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000 — £325,000 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: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 This role bridges infrastructure and product engineering: you'll build genuine partnerships across product, AI, and enterprise teams so that ownership is shared and velocity is never blocked by platform constraints. As a leader, you'll set a forward-looking cloud vision, proactively align with stakeholders across the business, and ensure the platform scales for multi-shard, multi-region growth while meeting security and compliance commitments (SOC 2, business continuity/disaster recovery, and enterprise security frameworks). You'll implement and drive the adoption of AI-powered tooling and autonomous agents within the infrastructure organization.   The Role: - Cost Efficiency: Deliver measurable annual infrastructure savings by executing the migration of data workloads to EKS and self-hosting key services. - Ingress Convergence: Deprecate legacy frontend ALBs and consolidate to a single EKS-managed ALB per shard, unblocking faster deployments across the org. - Coverage & Bench Depth: Eliminate single points of ownership across Networking, OpenSearch, and Terraform through cross-training and targeted hiring. - Stakeholder Alignment: Stand up a recurring alignment cadence with Product, AI, Enterprise, and Security so infra planning is driven by demand, not ad-hoc interrupts. - Automation: Ship automated shard buildout via Backstage to remove manual toil from enterprise scaling. - Reliability: Cut P0/P1 incidents attributed to Cloud Platform (DNS, ALB misconfiguration, EKS) through hardened ingress patterns and Terraform-policy guardrails. Own incident response and RCA follow-through for the team. - Roadmap Ownership: Own and deliver against the team's roadmap for Agent enablement, centralized IaC, and deployment rollout acceleration, and contribute to the broader Cloud Platform strategy tied to AI and Enterprise revenue goals. - Technical Leadership: Architect and contribute code to key initiatives (EKS migration, ALB consolidation, Backstage shard automation), and lead design reviews with senior engineers. - People Leadership: Lead, grow, and retain a senior-heavy team distributed across the US, Canada, and Europe, spanning FTEs and contractors, with a focus on career development, cross-training, and bench depth. - Vendor Management: Partner with Finance and leadership on AWS spend visibility and savings targets, manage contractor performance and budget, and keep a savings-pipeline mindset baked into planning.   Qualifications: - Experience: 9+ years in infrastructure/platform engineering, including 5+ years in engineering management leading distributed teams of senior engineers while remaining hands-on. - Deep AWS infrastructure mastery: EKS, networking (VPC/TGW/DNS), and Terraform at scale, with strong architectural judgment; able to review designs and guide senior engineers' technical decisions. - Hands-on technical leadership: Actively architects, writes code, and develops systems alongside the team. You are a working engineer as well as a manager. - Strategic roadmap ownership: Experience translating cloud priorities into 3–9 month team roadmaps tied to business outcomes across enterprise, AI, and cost, and delivering against them. - Cross-team influence: Builds genuine partnerships across Product, Security, SRE, and DB orgs, driving shared ownership across traditional infra/product boundaries. - Application-level curiosity: Genuinely understands what the product does, not just the infrastructure underneath, and extends ownership past traditional platform boundaries. - People leadership: Proven experience managing, growing, and retaining senior, geographically distributed teams across FTE/contractor blends; builds bench depth and contributes to succession planning. - Hiring: Experience running structured hiring loops and closing senior engineers, including into specialized gaps (networking, search, IaC). - Operational rigor: Strong on-call instincts, incident ownership, and RCA follow-through. - Security-first instincts: This team touches blast radius (auth enforcement, network isolation, shard boundaries). A verify-first, never-assume mindset is non-negotiable. - AI & automation mindset: Uses AI tools daily in your own engineering work, with demonstrated appetite for DevSecOps agents, AI-assisted IaC migrations, and skills-based automation — a core part of the near-term roadmap. - AI/ML infrastructure experience (strong plus): Scaling workloads like GPU orchestration, model-serving infrastructure, or cost-optimized compute for inference. - Education: BS/MS in CS, Engineering, or equivalent. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

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 The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment. Responsibilities Own the technical strategy and roadmap, translating goals into concrete execution Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast-paced environment Stay hands-on: build and ship the runtime platform and tooling Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management Build primitives that are composable and reusable across various agents Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence Collaborate cross-team, supporting internal teams bringing up their agents You May Be a Good Fit If You: Have 10+ years building and operating large-scale platforms or distributed systems Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment Have experience with container or VM orchestration at scale Are obsessed with productivity and transforming how we work Have excellent communication skills and enjoy supporting internal partners Strong Candidates May Also Have: Engineering management experience on top of a strong IC track record Experience with harness engineering Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control Experience with capacity planning and utilization across multiple cloud providers Experience working with researchers, engineers and other functional roles 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical  hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities Build automation to support datacenter fleets at scale. Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. Work closely with our Networking team to ensure end-to-end connectivity across all sites. Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). Ability to communicate clearly and build consensus with a wide range of stakeholders. Comfort navigating ambiguity and making progress on complex, cross-functional problems. Preferred qualifications 8+ years of experience in datacenter infrastructure management, or a closely related discipline. Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands. Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS Experience building or contributing to datacenter automation or fleet management platforms. Experience building and deploying server operating system distributions across large server fleets. Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider. Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area. 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: Worldwide Workplace: hybrid The Group Coordinator onboard the cruise ship Aroya will oversee and manage group bookings and events, ensuring seamless coordination and communication between the ship’s departments and the group host. The Group Coordinator will also handle special requests, organize group events, and provide personalized assistance to ensure an exceptional experience for the group.   Responsibilities   Coordinate all aspects of group bookings, including reservations and onboard activities. Serve as the primary point of contact for group leaders, assisting with any inquiries or special requests. Organize and oversee group events, ensuring all logistical details are executed flawlessly. Collaborate with other ship departments (e.g., Food & Beverage, Housekeeping, Entertainment) to meet group needs. Handle any last-minute changes or challenges, providing effective and prompt solutions. Assist with the distribution of welcome packages, event schedules, and promotional materials to group members. Maintain accurate records of group activities, requests, and special requirements. Ensure compliance with all guest service standards and protocols. Act as a liaison between the group clients and shipboard teams to ensure smooth communication and coordination. Provide exceptional customer service to enhance group members’ overall experience. Assist with pre-cruise planning by communicating with group leaders regarding onboard expectations and requirements. Monitor and update group accounts and reservations, ensuring accuracy and up-to-date information. Facilitate pre-arrival preparations such as cabin assignments and special requests for group guests. Manage VIP group requests, providing enhanced services to high-profile group guests. Collect and address feedback from group leaders and members to continually improve service delivery.   Requirements: Previous experience in group coordination, event planning, or a similar role, preferably in a cruise ship. Strong organizational skills and attention to detail. Excellent communication and interpersonal skills. Ability to multitask and handle dynamic, fast-paced environments. Proficiency in computer systems, including reservation software. Problem-solving abilities and the ability to work under pressure. Fluency in English and Arabic; additional languages are a plus.   Documentation Requirements:   Valid passport and visas as required. STCW certification or willingness to obtain. Valid Medical certificates  For Pooling purposes Contract length: 4 months on/ 2 off

RELOCATION TO CYPRUS | EXNESS Location: Based in Limassol office, Cyprus. Full relocation support available for you and your family. Company: Leading trading broker handling 40M+ trades a day with 2,000+ people across 13 countries serving 1M+ clients worldwide. What you will do: — Collaborate with stakeholders to gather requirements and translate them into analytical solutions and reports — Define, standardize, and maintain key business metrics and KPIs across teams — Analyze data to identify gaps, inefficiencies, and opportunities, proposing actionable solutions — Build, test, and maintain scalable data models, datasets, and intuitive dashboards using Tableau — Ensure data quality, consistency, governance, and automate reporting processes — Validate hypotheses, monitor KPIs, and deliver visually compelling insights for decision-making Requirements: — English proficiency (check if needed) — Bachelor’s or Master’s in Mathematics, Software Engineering, or Computer Science — 5+ years in BI: data analysis, visualization, reporting automation, full-cycle dashboard development — Strong SQL and analytical databases (Vertica, ClickHouse, Trino, Starrocks) — Proficiency in Tableau Desktop, dimensional modeling, metric governance, self-service analytics — Solid data analysis methods, basic statistics; understanding of AI/LLM in analytics Nice to have: — Tableau Certified Data Analyst or Architect — Experience with Semantic Layer / metrics layer / analytics engineering tools Culture & Benefits: — Competitive salary and annual bonus — Top-tier health insurance with family coverage (medical, dental, vision, mental health), life insurance — 21 days annual leave, public holidays, paid sick/maternity/paternity leave — Unlimited learning: courses, English lessons, career development; education allowance for school/kindergarten — Relocation support: flights, housing, visas, legal assistance; expat tax perks up to 50% exemption — Company car (MINI Cooper Countryman), gym access, sports clubs, corporate doctor, discounts, share scheme Hiring process: — Intro call with Recruiter (30 min) — English check (if needed) — Tech interview (90 min) + Test Task (up to 5 days) — Behavioural (60 min) + Final interview (30 min)

Location: Singapore; Tokyo; Seoul; Melbourne; Canberra; 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. THE ROLE As an founding HR Operations Manager for APAC, you will establish and scale our HR infrastructure across the region. This role exists to ensure our regional operations run smoothly, seamlessly blending day-to-day compliance, payroll execution, and expansion into new markets. Working closely with local and international stakeholders, you will own the end-to-end employee lifecycle. Your impact will be felt directly through the design of efficient HR systems, structured onboarding experiences, and accurate multi-country payroll management. You will act as a practical builder, optimizing everything from everyday employee inquiries to complex vendor management. By bridging legal compliance with a collaborative approach, you will support our regional growth while fostering a compliant and organized workplace. This role can be relocated in Singapore, Australia, Japan or Korea. WHAT YOU WILL DO - Manage and execute monthly payroll for employees and Employer of Record (EoR) staff across the APAC region to guarantee timely, accurate compensation. - Oversee the onboarding journey, ensuring all contractual elements, labor amendments, and internal HRIS records are systematically completed and updated. - Resolve day-to-day employee inquiries and coordinate international work visas to support business travel and team mobility. - Lead HR expansion initiatives when entering new countries, establishing local benefits administration and compliant operations from scratch. - Optimize regional operations by auditing external vendors, benchmarking payroll providers, and automating manual workflows. - Implement people-related procedures and best practices that mitigate company risk and align with local labor regulations. WHAT WE'RE LOOKING FOR - 8 to 15 years of progressive HR experience, ideally within a high-growth or startup environment. - Deep expertise in Singaporean labor law and employment regulations, with additional experience navigating multiple APAC markets such as South Korea, Australia, India, or Japan. - Solid understanding of regional payroll mechanisms, local tax laws, and handling Employer of Record (EoR) frameworks. - Practical proficiency with modern HR technology, including HRIS and payroll management software. - A hands-on, builder mindset with a proven track record of turning fragmented tasks into efficient, streamlined workflows. - Strong communication and problem-solving skills centered on a service-oriented approach to supporting team members. - Singapore citizenship or Permanent Residency (PR) status, required due to visa constraints for this specific position. 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 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 team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of demonstrating how AI tools can accelerate scientific workflows and enable discovery. About the role We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. This is an entry-level role, great for individuals who have done some research during an undergrad or masters program and may be considering pursuing a PhD in Life Sciences in the future. You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill. This is a fully hands-on bench role — while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development. Key responsibilities Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists Maintain meticulous, reproducible records and contribute to shared protocols Troubleshoot experiments, propose adjustments, and present results clearly in group meetings Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories Learn and adopt new techniques rapidly as projects evolve, with training provided Minimum qualifications Have hands-on research experience in molecular biology, biochemistry, or a closely related field Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation Have experience with aseptic technique and bacterial or mammalian cell culture, and with nucleic acid extraction, purification, and quantification Follow, document, and adapt experimental protocols with care and precision Are highly motivated, eager to learn, and energized by hands-on bench work Are practical and resourceful — you'd rather find a way through than a reason it can't be done Listen carefully, take feedback well, ask good questions, and are comfortable when priorities shift quickly Are excited to use AI models as a tool at the bench to plan experiments, interpret data, and decide what to try next Preferred qualifications A BS or MS in molecular biology, biochemistry, chemical biology, microbiology, bioengineering, or a related discipline Protein expression and purification experience (e.g., affinity, SEC, IEX) Mammalian cell culture experience, including transfection and stable line maintenance Enzyme kinetics or quantitative biochemical assay development (fluorescence, absorbance, FRET) Next-generation sequencing library preparation experience Familiarity with common bioinformatics workflows and molecular biology software (e.g., sequence analysis, alignment, primer and construct design) Experience using AI tools such as Claude in a research setting — for literature review, protocol drafting, data interpretation, or experimental troubleshooting This is a rare opportunity to help define how a frontier AI company does biology. You'll learn quickly, work closely with people who want to teach, and see your results feed directly into how the most capable AI models are evaluated and improved. 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: $95,000 — $120,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. As a founding member of Life Sciences, you'll work in a high-impact group that operates at the intersection of computational and experimental biology. You'll help establish Anthropic as a leader in biology research while developing product intuition through direct engagement with the challenges and opportunities of laboratory science. Key responsibilities Design, execute, and iterate on the experimental programs at the core of the team's research: molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and the assay development that makes new questions answerable Partner directly with computational biologists to design experiments that produce high-quality, analysis-ready data, and feed results back fast enough to immediately inform the next round of analysis Generate and prioritize hypotheses by combining your experimental judgment with the literature, curated biological knowledge bases, and the team's computational predictions Use Claude and our internal agent frameworks heavily in your own work — for experimental planning, protocol development, and data interpretation — and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Minimum qualifications Have a Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field Have a track record of bridging biological domain knowledge with computational approaches to solve real scientific problems Have basic proficiency in Python and are familiar with ML development practices Preferred qualifications Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration Published research or practical experience in scientific AI applications Familiarity with modern machine learning techniques and model training methodologies Familiarity with biological databases (UniProt, GenBank, PDB) and computational biology tools This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for human health and scientific understanding. If you're excited about using your expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Summary: You'll own ClickUp's social strategy and build the systems to execute it at scale. You deeply understand what wins on each platform: the formats, the hooks, the timing, the tone. But you're not just a strategist who hands off a plan. You build AI-powered workflows and automation to operationalize your strategy so it runs continuously, learns from data, and scales beyond what any team could do manually. You're a social-native operator who builds systems, not an engineer who dabbles in social.   Responsibilities: - Own platform-native social strategy across X, LinkedIn, TikTok, and emerging channels: define what ClickUp's voice, format, and engagement approach looks like on each, tailored to what works on that platform - Develop and execute content and engagement strategies that drive measurable growth in reach, engagement, and audience quality - Identify trends, conversations, and cultural moments worth engaging with, and move fast enough to capitalize on them - Build AI-powered systems and automated workflows to execute social strategy at scale: monitoring, engagement, response, and content distribution - Create feedback loops between social performance data and strategy; use signal to iterate what gets made and how it gets distributed - Own proactive engagement: identify and engage relevant conversations, mentions, and opportunities using AI-powered monitoring and automated response workflows - Develop automated systems that handle routine engagement while escalating high-value or brand-sensitive conversations to humans - Own execution end-to-end: strategy through measurement, with clear accountability for outcomes - Partner with content creators, influencer team, and brand to ensure systems amplify their work - Establish and report on social growth KPIs with clear attribution   Requirements: - 5-7+ years in social media strategy with demonstrated expertise in platform-native content and engagement strategy (you know what works on X vs. LinkedIn vs. TikTok and why) - Proven track record of growing social presence with strategic intent: not just posting more, but understanding the mechanics of each platform and exploiting them - Strong creative taste and editorial instinct for what resonates on social: you can look at a piece of content and know whether it'll hit before it goes live - 2+ years building AI-powered systems and automated workflows to scale social execution (monitoring, engagement, response, distribution). Using ChatGPT to draft captions is not sufficient. - Technical fluency: comfortable with APIs, automation platforms (Zapier, Make, custom), and can deploy integrations between systems without an engineer - Strong strategic thinker who takes things from 0 to 1 independently: vision to execution, measurable outcomes, zero hand-holding - Data-obsessed: builds dashboards, runs experiments, iterates based on signal not gut Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.