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Location: Berlin, Remote; Barcelona Workplace: remote Our Implementation team plays a key role in onboarding seamlessly new customers: they are working cross departments (Sales, Product and Customer Success) to understand and document client use cases and requirements and then translate them into the set-up and configuration of the 360Learning platform.    You will manage all phases of the implementation lifecycle, from sales turnover and kick off to handover to support. You will drive project management, define 360Learning platform architecture for our clients, facilitate integrations (flat files, API’s) and 3rd party apps, guide and provide assistance in order to ensure the successful deployment of their platform.   In addition, you will follow your customers' portfolio along their contract to increase product adoption, as well as to deliver Solutions complementary to the Product like platform audits. Within 1 month, you will: Become a Trello expert through our onboarding process Understand our product offering through training Master our platform and be able to support clients on basic requests through ticketing Within 3 months, you will: Start to onboard your own new clients: Drive project management in order to ensure successful platform deployment from kick-off meeting, regular touchpoints until handover to support Host functional and technical workshops with clients to support them in their platform customization and structuring Within 6 months, you will: Ensure the smooth 360Learning platform deployment for new clients Successfully implement integration (SSO, third-party tools), deliver technical expertise on how to integrate their learning platform into their technical environment  & troubleshooting Be able to pitch the value of the 360Learning platform Develop repeatable and scalable processes to improve project quality and delivery Within 12 months, you will: Onboard another Solution Deployment Manager Contribute to our knowledge base to share best practices and lessons learned Work with our partner ecosystem to strengthen the services proposed to our clients The Skills Set Minimum 4 years professional consulting experience, preferably in a customer facing role (Technical consultant, Technical Account Manager, Technical Project Manager, Implementation Project manager or Pre-sales Consultant) Previous deployment experience of SaaS products, ideally HR related Project management skills Understanding and experience working with APIs, SSO configuration & troubleshooting Solution-oriented, client-first mindset in everything you do Ability to adapt to your audience, flexibility in tackling a conversation with highly technical stakeholders, and reducing complexity to more common terms with less technical stakeholders Organized, structured, rational, analytical, able to manage priorities across multiple customer implementations Fluent German, very good English proficiency (level B2) Enthusiasm for our culture: https://bit.ly/Convexity360L Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with Solution Deployment Manager Coach Case Study with the Coach and a Solution Deployment Manager Clarification Meeting with a future team colleague Culture Fit Meeting with our Chief HR Officer Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, medical insurance, 1 month parental leave for the second parent. Balance: Flexible hours, Total work from home possible anywhere in Germany 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 #LI-JS Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs. Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills -- you'll be partnering across the entire company. Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. 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: €235.000 — €295.000 EUR 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 (South Africa) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE Working with Workplace customers (B2B) means being at the front line in our efforts to support healthcare facilities in delivering better care. The Workplace team is unified by our common goal: to represent our obsession with the customer experience through thoughtful action. Clipboard is looking for highly motivated, customer-focused individuals to join our team as B2B Client Support Specialists (Workplace Support Agents). This role is open to candidates of all experience levels—what matters most is your ability to handle business customers professionally and solve problems effectively. No specific degree required. SUCCESS FACTORS - Customer-Centric Mindset – You genuinely care about helping customers and take ownership of their problems. - Strong Communication Skills – Clear, professional English (both spoken and written) is critical for success in this role. - Proactive Problem-Solving – You don’t just follow scripts—you think critically and find long-term solutions for customers. - High Accountability – We value people who hold themselves to high standards and consistently deliver results. Responsibilities - You will engage with our Workplace customers over both voice and email correspondence. - Deliver fast, accurate, and empathetic support to our workplace customers across voice and email, resolving shift, payment, and platform-related issues in real time - Navigate tools like Zendesk and the Clipboard portal to investigate cases, update form fields, log clear internal notes, and maintain accurate documentation - Apply sound judgment and critical thinking to troubleshoot issues, follow or adapt workflows, and escalate only when necessary - Develop deep expertise in our products and processes to identify recurring issues or process gaps, helping improve both customer experiences and internal operations. - Work cross-functionally with teams such as Billing, Account Management, and Worker Operations to gather the necessary information and ensure customer issues are resolved effectively - Uphold our values https://www.clipboardhealth.com/careers such as unreasonably fast, ownership, and uncomfortably high standards in every interaction Why Join Clipboard? - 100% Remote – Always. Work from anywhere in the world. - Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth. - A Hiring Process That Rewards Skills, Not Just Experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials. - Opportunity to make a significant impact with our workplace customers Hiring Process 1. Application 2. Case Study 3. Interview with Hiring Manager 4. Executive Interview 5. Offer Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: Remote (Jamaica) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE Working with Workplace customers (B2B) means being at the front line in our efforts to support healthcare facilities in delivering better care. The Workplace team is unified by our common goal: to represent our obsession with the customer experience through thoughtful action. Clipboard is looking for highly motivated, customer-focused individuals to join our team as B2B Client Support Specialists (Workplace Support Agents). This role is open to candidates of all experience levels—what matters most is your ability to handle business customers professionally and solve problems effectively. No specific degree required. SUCCESS FACTORS - Customer-Centric Mindset – You genuinely care about helping customers and take ownership of their problems. - Strong Communication Skills – Clear, professional English (both spoken and written) is critical for success in this role. - Proactive Problem-Solving – You don’t just follow scripts—you think critically and find long-term solutions for customers. - High Accountability – We value people who hold themselves to high standards and consistently deliver results. Responsibilities - You will engage with our Workplace customers over both voice and email correspondence. - Deliver fast, accurate, and empathetic support to our workplace customers across voice and email, resolving shift, payment, and platform-related issues in real time - Navigate tools like Zendesk and the Clipboard portal to investigate cases, update form fields, log clear internal notes, and maintain accurate documentation - Apply sound judgment and critical thinking to troubleshoot issues, follow or adapt workflows, and escalate only when necessary - Develop deep expertise in our products and processes to identify recurring issues or process gaps, helping improve both customer experiences and internal operations. - Work cross-functionally with teams such as Billing, Account Management, and Worker Operations to gather the necessary information and ensure customer issues are resolved effectively - Uphold our values https://www.clipboardhealth.com/careers such as unreasonably fast, ownership, and uncomfortably high standards in every interaction Why Join Clipboard? - 100% Remote – Always. Work from anywhere in the world. - Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth. - A Hiring Process That Rewards Skills, Not Just Experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials. - Opportunity to make a significant impact with our workplace customers Hiring Process 1. Application 2. Case Study 3. Interview with Hiring Manager 4. Executive Interview 5. Offer Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: Remote (Philippines) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE Working with Workplace customers (B2B) means being at the front line in our efforts to support healthcare facilities in delivering better care. The Workplace team is unified by our common goal: to represent our obsession with the customer experience through thoughtful action. Clipboard is looking for highly motivated, customer-focused individuals to join our team as B2B Client Support Specialists (Workplace Support Agents). This role is open to candidates of all experience levels—what matters most is your ability to handle business customers professionally and solve problems effectively. No specific degree required. SUCCESS FACTORS - Customer-Centric Mindset – You genuinely care about helping customers and take ownership of their problems. - Strong Communication Skills – Clear, professional English (both spoken and written) is critical for success in this role. - Proactive Problem-Solving – You don’t just follow scripts—you think critically and find long-term solutions for customers. - High Accountability – We value people who hold themselves to high standards and consistently deliver results. Responsibilities - You will engage with our Workplace customers over both voice and email correspondence. - Deliver fast, accurate, and empathetic support to our workplace customers across voice and email, resolving shift, payment, and platform-related issues in real time - Navigate tools like Zendesk and the Clipboard portal to investigate cases, update form fields, log clear internal notes, and maintain accurate documentation - Apply sound judgment and critical thinking to troubleshoot issues, follow or adapt workflows, and escalate only when necessary - Develop deep expertise in our products and processes to identify recurring issues or process gaps, helping improve both customer experiences and internal operations. - Work cross-functionally with teams such as Billing, Account Management, and Worker Operations to gather the necessary information and ensure customer issues are resolved effectively - Uphold our values https://www.clipboardhealth.com/careers such as unreasonably fast, ownership, and uncomfortably high standards in every interaction Why Join Clipboard? - 100% Remote – Always. Work from anywhere in the world. - Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth. - A Hiring Process That Rewards Skills, Not Just Experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials. - Opportunity to make a significant impact with our workplace customers Hiring Process 1. Application 2. Case Study 3. Interview with Hiring Manager 4. Executive Interview 5. Offer Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: Remote (Non-U.S.) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE Working with Workplace customers (B2B) means being at the front line in our efforts to support healthcare facilities in delivering better care. The Workplace team is unified by our common goal: to represent our obsession with the customer experience through thoughtful action. Clipboard is looking for highly motivated, customer-focused individuals to join our team as B2B Client Support Specialists (Workplace Support Agents). This role is open to candidates of all experience levels—what matters most is your ability to handle business customers professionally and solve problems effectively. No specific degree required. SUCCESS FACTORS - Customer-Centric Mindset – You genuinely care about helping customers and take ownership of their problems. - Strong Communication Skills – Clear, professional English (both spoken and written) is critical for success in this role. - Proactive Problem-Solving – You don’t just follow scripts—you think critically and find long-term solutions for customers. - High Accountability – We value people who hold themselves to high standards and consistently deliver results. Responsibilities - You will engage with our Workplace customers over both voice and email correspondence. - Deliver fast, accurate, and empathetic support to our workplace customers across voice and email, resolving shift, payment, and platform-related issues in real time - Navigate tools like Zendesk and the Clipboard portal to investigate cases, update form fields, log clear internal notes, and maintain accurate documentation - Apply sound judgment and critical thinking to troubleshoot issues, follow or adapt workflows, and escalate only when necessary - Develop deep expertise in our products and processes to identify recurring issues or process gaps, helping improve both customer experiences and internal operations. - Work cross-functionally with teams such as Billing, Account Management, and Worker Operations to gather the necessary information and ensure customer issues are resolved effectively - Uphold our values https://www.clipboardhealth.com/careers such as unreasonably fast, ownership, and uncomfortably high standards in every interaction Why Join Clipboard? - 100% Remote – Always. Work from anywhere in the world. - Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth. - A Hiring Process That Rewards Skills, Not Just Experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials. - Opportunity to make a significant impact with our workplace customers Hiring Process 1. Application 2. Case Study 3. Interview with Hiring Manager 4. Executive Interview 5. Offer Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

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 Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable : when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely. As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving. What You'll Do: Own the Safeguards Engineering ops review - Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk. Drive incident tracking and post-mortem execution - When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does. Establish and maintain SLOs with partner teams - Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not. Maintain runbook quality and incident-ownership clarity - Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents is unambiguous so that nothing falls through the cracks during an active incident. Drive platform migrations and infrastructure projects - Own the program management for the larger infrastructure work on the roadmap: migrating the infra from one platform to the next, moving from one incident platform to the next and from one cloud system monitoring to another, and other migrations as they come. These are cross-team efforts with real dependencies — your job is to keep them sequenced, on track, and connected to the teams that need them. Coordinate evals platform improvements - Partner with the evals engineering team to drive improvements to the evaluation platform — including self-serve capabilities and the broader eval factory infrastructure. Help scope the work, track dependencies on other Safeguards systems, and make sure the evals platform is keeping pace with the team's needs. You might be a good fit if you: Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously. Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread. Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them. Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication. Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either. Have experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you. Strong candidates may also: Have experience with SRE practices, incident management frameworks, or on-call operations at scale. Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted. Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline. Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them. Deadline to apply: None, applications will be received 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: $290,000 — $365,000 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: Beograd, Serbia Workplace: hybrid About The Role: At Paysend , our products handle millions of money movements across markets , where reliability and accuracy are critical. Behind every transaction is a complex set of systems and processes that need to work exactly as expected. We are looking for a QA Engineer to join our team and help ensure the quality and reliability of our web and mobile products. You will test real-world customer scenarios across multiple platforms and services, investigating issues across APIs, microservices, databases, and asynchronous processes to understand what happens at every step. We are looking for someone who combines strong testing fundamentals with technical curiosity and a practical understanding of how complex products work. What You'll Do (Responsibilities): Functional, regression and acceptance testing of user scenarios across web, iOS and Android. Testing money flows: transfers, card top-up/withdraw, FX and rates, tariffs, limits, fees, bonuses and referrals. Testing onboarding and KYC, including the integration with our verification provider (Sumsub). Testing payment and authentication integrations: 3DS/SCA, Google Pay, Apple Pay, OTP and passcode. API testing (REST/gRPC): inspecting requests, responses and traces, validating contracts and error handling. Testing interaction between microservices: asynchronous scenarios, events in queues, idempotency, retries and degradation paths. Verifying state in the database: transaction and process statuses, balances, profile data. Requirements analysis and participation in grooming: reviewing user stories, raising questions about design and logic early, assessing risk. Designing and maintaining test cases and test plans, tracking defects in Jira, taking part in release checks. Preparing test data and working with test environments. Mentoring junior colleagues and helping evolve QA practices and processes in the team. What You’ll Need To Be Successful In This Role: 6+ years in manual testing, a meaningful part of it in fintech, banking, payments or another product that moves money. Experience testing a single product across web and mobile (iOS/Android), with a good grasp of cross-device and responsive specifics. Experience with and understanding of testing microservice-based applications: how to test a service in isolation and in combination, where to look for the root cause of a failure, what an asynchronous scenario is and why it breaks. Hands-on experience with message brokers (Kafka, RabbitMQ or similar): reading and publishing messages, verifying events within a scenario. Practical API testing: Postman/Insomnia or equivalents, working with REST, reading logs and traces; gRPC is a plus. Confident SQL at the level of queries and joins (PostgreSQL or a similar database). Basic programming skills in any language (Python, Java, JavaScript, etc.) — enough to write a script, read someone else's code and prepare test data. Experience using AI tools to optimise and automate day-to-day work: generating and reviewing test cases, analysing logs, preparing data, speeding up routine tasks. Experience with a test management system (Allure TestOps or similar) and Jira, and the ability to write clear, reproducible bug reports with enough context for a developer. Confident use of browser dev tools and a debugging proxy for network inspection (Charles, Proxyman, Fiddler). Systems thinking: the ability to decompose a scenario and find edge and negative cases, not just walk the happy path. English at a level that supports fluent working communication in a distributed team. Nice To Have: Domain knowledge: the payment lifecycle, transaction statuses, currency conversion, fees and limits, KYC/AML requirements as they show up in the user journey. Experience with Google Cloud Platform An understanding of how E2E automation works (Playwright, visual regression) and the ability to shape manual coverage so that it complements it. Experience with server-driven UI or configuration-driven scenarios. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: Prague, Czechia Intellect Care (Counselling/ Psychotherapy) is a collaborative process to guide, explore and/or resolve personal, social, or psychological problems and difficulties. Counselling is most useful when clients seek tools or techniques to support their mental health. Psychotherapy identifies unhelpful patterns of thinking and behaviours which may limit the client's quality of life or daily activities and equip clients with more helpful and effective ways of thinking, behaving and relating to others. This addresses moderately severe mental health experiences. Intellect Care normally spans up to 60 minutes Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs Requirements Counsellor: Minimum Masters Degree in Counselling / Counselling psychology with a minimum of 300 hours of counselling experience post qualification & practicum/ placement/ internship Clinical Psychologist: Minimum Masters Degree in Clinical psychology with a minimum of 300 hours of Clinical/Therapy experience post qualification & practicum/ placement/ internship. Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) License: Must hold valid and active licenses applicable to the country of practice Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!

Location: Prague, Czechia Join us as a Behavioral Health Coach on our innovative telehealth platform, Intellect, where you’ll empower clients to enhance their mental well-being and achieve personal growth. Using your expertise, you’ll guide clients through personalized, 30-minute video sessions designed around their unique goals. This flexible freelance role allows you to set your own schedule, making it an ideal supplement to your existing job or private practice. While we prefer local candidates, we welcome talented professionals from various locations to apply. Why Work with Us? We’re building a collaborative community of passionate mental health professionals, including International Coaching Federation (ICF) Coaches, Clinical Psychologists, and Counsellors, who share a commitment to expanding access to mental health support worldwide. What You'll Do Provide 1-on-1 telehealth professional or mental health coaching for Intellect’s clients Focus on non-clinical cases such as work stress, procrastination, work-life balance etc. Support clients in achieving personal, career, or relationship goals Collaborate with our internal clinical team to continuously enhance our platform and programs. Requirements Qualifications: Active International Coaching Federation (ICF) Certification OR a Master’s/Postgraduate Diploma in Counseling Expertise: Proficiency in coaching methods and evidence-based approaches (e.g., Cognitive Behavioral Therapy, Motivational Interviewing, DBT, SFBT) Experience: ICF Coaches with 200+ coaching hours, or Counsellors with 300+ post-graduation clinical hours Languages: Fluency in English and the local language Preferred Background: Experience in EAP, adult counseling, or coaching managerial roles Ready to make a real impact in mental health? Apply today and become part of our mission to improve lives globally!

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity.  You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about safety. Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. Evidence of exercising judgment and decision making in ambiguous situations. Planning, building, launching and measuring new products / systems in a zero to one environment. Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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: $305,000 — $385,000 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: 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 Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs. Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills -- you'll be partnering across the entire company. Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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. We are seeking a senior Real Estate Portfolio Manager to join Anthropic's Workplace and Real Estate team to lead strategic planning, portfolio optimization, and a team of real estate professionals across our global footprint. This high-impact role will develop comprehensive real estate strategies, conduct rigorous market and financial analyses, and deliver executive-level recommendations to our CFO and senior leadership. The Real Estate Portfolio Manager will oversee a team including a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist, building a high-performing function that brings the strategic rigor and analytical sophistication of established corporate real estate organizations to our rapidly scaling AI company. Responsibilities: Strategy & Executive Communication Develop comprehensive real estate strategy documents that synthesize market analysis, financial modeling, and location recommendations for CFO and executive leadership review Lead strategic portfolio planning including scenario modeling for growth, market entry/exit decisions, and long-term footprint optimization Create executive-level presentations and decision memos that translate complex real estate data into clear strategic recommendations Conduct in-depth market analyses including competitive positioning, labor market dynamics, talent availability, and cost-of-occupancy comparisons across target markets Build and maintain sophisticated financial models for real estate decisions including NPV analysis, lease vs. buy scenarios, and total cost of occupancy projections Partner with Finance on capital planning, real estate budgeting, and investment justification for major portfolio decisions Portfolio & Program Oversight Develop location strategy frameworks that align real estate decisions with business unit requirements, talent strategy, and corporate objectives Oversee occupancy planning and demand forecasting efforts, translating headcount projections into actionable space requirements and timing recommendations Direct lease administration strategy including portfolio risk assessment, lease restructuring opportunities, and critical obligation management Establish portfolio performance metrics and reporting frameworks that provide executive visibility into real estate investments and outcomes Partner with external advisors (brokers, consultants, legal) to execute strategic initiatives and negotiate favorable terms Identify portfolio optimization opportunities including consolidation, expansion, or repositioning strategies that enhance operational efficiency and reduce costs Team Leadership Manage and develop a team of two direct reports: a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist Set clear goals and priorities for the team, ensuring alignment with broader real estate and company objectives Provide coaching, mentorship, and professional development opportunities to build team capabilities Foster a collaborative, high-performance culture that emphasizes quality, accountability, and continuous improvement Allocate resources effectively across strategic initiatives and operational demands You may be a good fit if you: Have 10+ years of progressive experience in corporate real estate strategy, portfolio management, or real estate finance, with at least 3-5 years in a people management role Have a proven track record of developing and presenting real estate strategies to executives Possess sophisticated financial modeling skills including NPV, IRR, scenario analysis, and total cost of occupancy methodologies Have deep expertise in market analysis including labor economics, competitive positioning, and location strategy development Are an exceptional writer who can synthesize complex analyses into compelling strategic narratives and executive-ready documents Have demonstrated success building and leading high-performing teams Have experience managing portfolios of significant scale and complexity across multiple geographies Can operate with autonomy and drive strategic initiatives with minimal direction Have strong executive presence and can confidently present recommendations to senior leadership Thrive in fast-paced, high-growth environments where you can build processes and frameworks from the ground up Strong candidates may also: Have experience in high-growth technology companies navigating rapid scaling challenges Hold an MBA or advanced degree in real estate, finance, or related field Have relevant certifications such as CoreNet MCR or CCIM Bring consulting experience from firms specializing in corporate real estate strategy Have experience with international market entry and global portfolio optimization Have led major strategic initiatives such as headquarters relocations, portfolio consolidations, or market expansions The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 — $275,000 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: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About Startups @Vercel The Vercel Startups org exists to help founders navigate the shift to AI-native development with confidence. Startups move faster than ever—what used to take years now happens in days—and the decisions founders make early can either unlock scale or become long-term constraints. We partner with startups at the critical moments where technical, commercial, and strategic support starts to matter most. We’re a talent-dense team made up of former founders, engineers, and experienced go-to-market operators who bring firsthand experience building, scaling, and supporting modern software companies. Many of us have sat on the other side of the table, making architectural decisions, navigating tradeoffs, and scaling under real constraints, and we bring that perspective into every customer interaction. We operate with a growth mindset and strong shared ownership. We dig deep to understand our customers, work closely across functions as one team, and find ways to win even when the path forward isn’t obvious. Resilience, curiosity, and a willingness to push through hard problems are table stakes here. This is a team for people who want to operate with high trust, high agency, and high impact — alongside peers who care deeply about helping startups succeed. About the role You are an expert in Vercel, you have incredible pattern recognition, and are at the bleeding edge of the tech and tools defining how we live and work. In this role, you'll help startups unlock Vercel's full value from adoption through scaling—building relationships with founders and technical leaders who are making critical architectural decisions. You'll analyze usage patterns to identify expansion opportunities, coordinate cross-functional teams to drive outcomes, and guide teams as they adopt AI-native architectures. By leveraging automation and AI to maximize your impact, you'll help refine early plays into repeatable playbooks that scale across our startup portfolio. What you'll do Build trusted relationships with founders, developers, and technical leaders by quickly developing deep understanding of their architecture, use cases, and technical constraints Use customer signals and usage patterns to determine the right next play and focus time on the highest-leverage opportunities for adoption, expansion, or re-engagement Quarterback customers end-to-end, strategically deploying Sales Engineers, Developer Support Engineers, Product, and Support at the right moments to drive outcomes Own and grow a portfolio of startup customers by partnering with them as they move from early adoption to scale Partner with founders and developers as they adopt AI-native features and architectures, helping them understand how Vercel’s Frontend Cloud fits into a rapidly evolving developer ecosystem and supports new workloads, performance requirements, and scaling patterns Use automation, agents, and self-built workflows to operate at high leverage and focus time and energy on the most impactful customer work Operate comfortably in an evolving environment, helping refine early motions and turn what works into repeatable playbooks What you need We’re looking for someone who sits at the intersection of technical curiosity, commercial excellence, and startup mindset . You might be a great fit if you’ve developed this skill set through a range of paths—whether as a builder, founder, engineer, or in a technical go-to-market role—and you bring strong judgment, ownership, and curiosity to how you work. In practice, this looks like someone who: Learns complex technical products quickly and enjoys reasoning about how modern web and AI-native applications are built and scaled Can speak comfortably with developers and founders, using their language and earning credibility through insight rather than titles Has strong sales acumen and experience owning revenue outcomes across a range of deal sizes and complexities Believes that the best revenue outcomes come from deeply successful customers, not transactional selling Brings a thoughtful, opinionated point of view on modern web infrastructure, frontend performance, and scaling tradeoffs Thrives in ambiguity and enjoys shaping how a team and motion evolves from early to more structured Is energized by ownership, accountability, and helping customers make smart decisions What This Role Is Not Not a pure Customer Success role focused on reactive support Not a transactional sales role detached from customer outcomes Not a highly scripted role with narrow ownership or predefined motions This role requires judgment, curiosity, and comfort operating across technical, strategic, and commercial dimensions. If you’re based within a pre-determined commuting distance of one of our offices (SF, Austin or NY), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $180,000-$240,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself. Responsibilities Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale Partner with research leads to translate ambiguous research questions into durable engineering solutions Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health You may be a good fit if you: Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction Are a power user of agentic coding tools with deep intuition about model capabilities and limitations Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both Strong candidates may also have experience with: Designing or scaling eval/evaluation frameworks for ML systems Reinforcement learning infrastructure or training systems Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm Research computing, scientific infrastructure, or developer platforms at scale A strong quantitative foundation (math, physics, or related fields) Expertise in Python and TypeScript 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: 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 Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real-world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Proficiency in Python or Rust Software engineering experience building and operating distributed systems in production Working knowledge of containerized infrastructure (e.g., Kubernetes) and at least one major cloud platform (AWS, GCP, or Azure) Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Significant experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience building load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Deep experience operating Kubernetes and cloud infrastructure at scale Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware) Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers 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: £325,000 — £390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive, System Integrators based in Tokyo, you'll be the critical link between Anthropic and Japan's leading system integrator ecosystem. You'll build and deepen strategic partnerships with major SIers — enabling them to confidently sell, implement, and support Anthropic's AI solutions within their own client portfolios. This is a high-impact, relationship-driven role that directly shapes how frontier AI reaches Japan's largest enterprises. Key responsibilities Own and grow revenue generated through SIer channels by developing joint go-to-market strategies, co-selling motions, and enablement programs with Japan's top system integrators Build and execute partner territory plans, identifying and prioritizing relationships across tier-1 and regional SIers — including firms across IT consulting, systems integration, and managed services practices Lead strategic engagement with senior SIer leadership — including practice heads, solution architects, pre-sales directors, and partner managers — building the technical confidence and commercial alignment needed to close enterprise deals Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships, Marketing) to deliver enablement resources, joint solution frameworks, and go-to-market collateral that equips SIer partners to position and deploy Anthropic's AI solutions effectively Act as the primary escalation and support point for SIer partners navigating complex enterprise opportunities, ensuring deal momentum and customer satisfaction across the full sales cycle Preferred qualifications 8+ years of enterprise sales or partner management experience in Japan, with significant direct experience working with or selling through system integrators in the technology sector A deep understanding of how Japan's SIer ecosystem operates — including how SIers source, evaluate, and commit to vendor partnerships, and how they structure solutions for their enterprise clients A track record of building high-trust, mutually beneficial relationships with SIer organizations, driving consistent revenue through channel partnerships rather than direct sales alone Demonstrated ability to navigate complex, multi-layered SIer stakeholder environments — balancing the needs of the SIer's internal leadership, their end customers, and Anthropic's own business objectives Proven experience developing and executing partner enablement programs — including technical training, sales toolkits, and co-marketing initiatives — that meaningfully increase a partner's ability to sell and deliver A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to evaluating and prioritizing SIer partnerships combined with patient, relationship-focused execution A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit Excellent communication skills in both Japanese and English What We Offer Competitive base salary and commission structure commensurate with experience Equity participation Comprehensive benefits package Hybrid work model with flexibility Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We are seeking an experienced SEO Strategist to join our Growth team. This role is embedded in the product: shaping how the site is found and structured, and turning that into work engineering can ship without trading away the user experience. Job Responsibilities 1.Strategic Enrichment (Onsite, Linkbuilding, GEO) : On-site: Audit existing assets to identify content gaps, semantic opportunities, and structural improvements. Linkbuilding: Move beyond standard outreach by designing high-impact acquisition strategies that build genuine authority. GEO (Generative Engine Optimization): Help our adaptation to the AI era. Develop strategies specifically designed to capture visibility in AI-generated search experiences (SGE, ChatGPT, etc.). 2. Collaborative Innovation: You will generate new growth ideas, utilizing the expertise of our Onsite, Linkbuilding and Innovation Teams. You are expected to consult with them to validate concepts and refine execution plans before presenting the final roadmap to the C-suite. That includes identifying when an SEO gain is not worth the user-experience or product cost. 3. Internal Consultation: Act as a subject matter expert during weekly operations meetings. You will guide the direction of current tasks, helping the team troubleshoot roadblocks and optimize their approach for better yield. Translate findings into acceptance criteria engineering will accept. 4. Advanced Analysis: Monitor performance trends using Google Search Console and third-party tools. You will measure the success of your specific initiatives based on traffic impact and visibility growth. You’ll thrive here if you have Proven Strategic Experience: 5+ years in SEO Strategist position within a large Product company, with a portfolio of specific strategies you designed that led to measurable growth with product-first approach. Designed and executed a worldwide SEO strategy for a project. Large Product Experience: experience working on large Products with thousands of pages across several languages or countries. Technical Diagnosis: Comfortable doing the technical investigation yourself and turning it into clear insights and requests. Modern SEO Stack: Demonstrated understanding and proven results of Generative Engine Optimization (GEO). Collaborative Mindset: You thrive on combined effort. You are comfortable vetting your ideas with operational leads to ensure they are actionable. Analytical Mastery: Expert proficiency in Google Search Console, Ahrefs, SEMRush, and Screaming Frog. You must be able to translate data into a strong business case. Communication Skills: Ability to articulate complex SEO concepts to C-level stakeholders while providing clear, precise technical context to operational teams. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches at the office, and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (45 minutes); Technical interview (1 hour); Final interview (1 hour); Recommendations check; Job offer.