Вакансии

Location: Philippines Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. We’re looking for a YouTube Scriptwriter / Technical Content Writer who is passionate about AI, enjoys learning new tools, and can turn technical topics into clear, engaging YouTube content. This is a hands-on role : you’ll own both the scriptwriting and the screen-recording process for each video. You’ll research and actually use the AI tools you’re covering, write the script based on your experience, and record the footage needed to bring the content to life. You don’t need to know every AI tool from day one. What matters most is that you’re curious, willing to learn, comfortable experimenting with new technology, and able to work independently . Key Responsibilities Research AI tools, platforms, and workflows and turn them into engaging YouTube scripts Use and test the tools yourself before writing about them to ensure accuracy Write clear, structured scripts that make technical AI topics easy to understand Create content around AI tools, AI agents, vibecoding, Claude, Claude Code, and related technologies Use internal tools and workflows to draft, refine, and improve scripts Record clean screen recordings and B-roll that correspond to each section of the script Organize recorded footage clearly so editors can easily understand and use the material Communicate with video editors and respond promptly to questions or requests Produce approximately 4–5 videos per week Stay up to date with new AI tools, features, and trends Requirements Strong interest in AI and emerging technology Excellent writing and research skills Hands-on experience with AI tools such as Claude, Claude Code, ChatGPT, or similar Ability to create clear and organized screen recordings/B-roll Background as a Technical Writer or Content Writer Experience writing tutorials or educational content about software, APIs, developer tools, or AI Experience creating YouTube scripts or educational video content Experience using OBS or other screen-recording software

Location: Remote - US About the Job: LaunchDarkly is looking for an Enterprise Developer Advocate to build a new motion from the ground up: education-first technical sessions inside our largest accounts. Most enterprise customers know LaunchDarkly for one thing. Inside those same companies are teams shipping AI features, running experiments, and managing risky releases who have never met us. You'll design and run sessions that teach those engineers something genuinely useful, build internal champions alongside our account teams, and surface expansion opportunities the field can act on. This starts as a pilot, and how it scales will be shaped by what you prove. It's a role for someone who wants to own a motion, not a queue. Responsibilities: Build the motion: design the Enterprise Developer Advocacy program from pilot to repeatable practice, including session formats, account selection criteria, readouts, and measurement Run sessions inside target accounts: deliver education-first technical sessions (agents and AgentControl, safe rollouts, experimentation, runtime control) tailored to each account's stack and use cases Build champions with the field: partner with AEs, SEs, and CS to identify accounts, find and develop internal champions, and hand off what surfaces cleanly to the teams who should own it Keep it credible: protect the non-promotional, education-first nature of the sessions; this motion works because it isn't a sales pitch Prove it with evidence: instrument the pilot, produce session readouts, debrief with reps, and make the scale, adjust, or stop recommendation based on what the data shows Shape what comes next: as the motion proves out, define how it scales, including the playbook future advocates would run Qualifications: A background spanning at least two of: developer advocacy, solutions engineering, developer education, technical marketing Comfortable in enterprise rooms: you can teach a technical session to fifty engineers and handle hardball questions from a skeptical principal architect Hands-on technical credibility: you build, demo, and teach, and senior engineers take you seriously Strong operational instincts: you can run a repeatable program, prioritize incoming demand, and keep commitments to the field Typically requires a minimum of 12 years of related experience. Ability to travel approximately 25% of the time (Bonus) Experience with feature management, experimentation, observability, or agent orchestration tooling (Bonus) You've built a customer-facing technical program (workshops, DevDays, office hours) from scratch (Bonus) Deep enterprise software background: you understand how large engineering organizations make platform decisions Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860 ** Zone 3: All other US locations - $145,500 - $200,090* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Mimir Query, Databases This is a remote position. We are looking for candidates in the USA time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics , Grafana Enterprise Logs , and Grafana Enterprise Traces . They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Mimir Squad The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the Mimir OSS project , and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What will you be doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial idea all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running Support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time. Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must. Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well Experience with leading and delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven and collaborative way Experience with developing software that runs in the Cloud or experience with systems engineering Experience with being on-call and following the DevOps model Experience writing clean, robust, and performant software that is easily maintained by others Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Comfortable with microservices architecture and distributed systems Experience and comfort developing with LLMs like Claude and Codex on your day to day Bonus Points For: Experience working with Kubernetes Experience working with queue systems, e.g. the Kafka protocol Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects) Familiarity with the concept of infrastructure as code Compensation & Rewards: In the United States, the Base compensation range for this role is USD 174,986 - USD 209,983 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Mimir Query, Databases This is a remote position. We are looking for candidates in the USA time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics , Grafana Enterprise Logs , and Grafana Enterprise Traces . They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Mimir Squad The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the Mimir OSS project , and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What will you be doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial idea all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running Support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time. Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must. Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well Experience with leading and delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven and collaborative way Experience with developing software that runs in the Cloud or experience with systems engineering Experience with being on-call and following the DevOps model Experience writing clean, robust, and performant software that is easily maintained by others Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Comfortable with microservices architecture and distributed systems Experience and comfort developing with LLMs like Claude and Codex on your day to day Bonus Points For: Experience working with Kubernetes Experience working with queue systems, e.g. the Kafka protocol Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects) Familiarity with the concept of infrastructure as code Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 186,368 - CAD 223,642 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote-Friendly (Travel Required) | 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 building data center campuses at a pace where several are under construction at once, each moving through design, construction, commissioning, and turnover to an operating partner. Security scope on those projects (the physical protections, the systems that enforce them, and the operational readiness of the company that will run the site) has to be delivered as deliberately as the buildings themselves. As Lead for Data Center Security Delivery, you will own security through that entire arc for every campus under construction: from groundbreaking, through construction-phase security, through commissioning and milestone acceptance, to a clean handover into full operation. You are the single point of accountability for "the site's security is actually ready", and you will verify that the operating partner has its people, processes, systems, and contractual security obligations genuinely in place before a site goes live. This is a delivery role, not a watch-the-dashboard role. You'll absorb the day-to-day noise of active construction sites (schedule slips, design changes, vendor coordination, escalations) so the rest of DCSE can stay focused on steady-state operations and systems. And where DCSE's requirements or processes don't survive contact with a real construction schedule, you will have the authority, and the expectation, to rewrite them. Role boundaries. This seat is distinct from DCSE's regional security operations leads and from the team's systems-engineering roles. The operations leads own steady-state regional programs (vendors, guard force, incident response) once a site is running; the systems roles build platforms and tooling. This role owns the delivery arc: every site's security scope from construction start through commissioning, acceptance, and handover, after which accountability transfers to operations. Key responsibilities You will own the security delivery program across every Anthropic campus under construction: concurrently, from groundbreaking to handover. Construction-phase security delivery: temporary site security, contractor vetting and access, protection of installed equipment, and coordination with general contractors and site teams on every active build. Milestone and commissioning acceptance: define and maintain the security acceptance criteria at each construction milestone and commissioning gate; run or attend acceptance events (FAT/SAT, punch lists); issue or withhold the security sign-off. Operator readiness verification: build and run a structured, evidence-based readiness process proving the operating company is genuinely ready before handover: staffing and guard force in place, SOPs adopted, security systems commissioned and monitored, contractual security obligations demonstrably met. Clean handover to operations: own the turnover package (as-builts, test records, credentials, punch-list closure, residual-risk register) and the defined transition from construction-phase to operational security ownership. Requirements and process authority: rewrite DCSE's construction-security requirements, delivery processes, and acceptance frameworks where they fail in the field, and codify what works, so each build is cleaner than the last. Representation and escalation: represent security in design reviews, owner-architect-contractor (OAC) meetings, and change management; coordinate integrators, general contractors, and operator counterparts on security system installation, testing, and commissioning; surface schedule and readiness risks early, with options, to DCSE leadership and cross-functional partners. Minimum qualifications Have personally delivered the physical security scope on new-build data center (or comparable critical-infrastructure) construction projects (design reviews through construction, commissioning, and turnover to operations) and can name the sites and your role on them. Have run milestone- or commissioning-acceptance processes: FAT/SAT, punch lists, turnover documentation, formal sign-off. Have held an operator, landlord, or vendor accountable to contractual security obligations, with evidence rather than assurances. Are comfortable being the person who says "not ready", and can do it in a way that produces a plan rather than a standoff. Can absorb the operational noise of multiple concurrent construction sites and still drive each one toward its handover date. Can author requirements, standards, and process documents that get adopted, and are willing to rewrite your own when they fail in the field. Work through influence with general contractors, integrators, operators, and internal partners; you shape decisions rather than block them. Preferred qualifications CPP (Certified Protection Professional) or PSP (Physical Security Professional) certification, or commissioning credentials. Hyperscaler or major colocation new-build delivery experience. Experience on both sides of an operator/tenant relationship. Construction management or owner's-representative background. Experience in regulated or high-assurance environments. 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: Lisbon Workplace: Hybrid ROLE HIGHLIGHTS: - Security Officer - Location: Lisbon, Portugal - Department: Security - Reports to: CEO of ICEYE Portugal - Employment type: Permanent - Workplace model: On-site (our office is located at Av. Defensores de Chaves 4, 1000-117 Lisboa) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS:   ICEYE Portugal turns sovereign intelligence from space into an operational capability built in Lisbon. This role keeps that capability secure. As ICEYE Portugal's named Local Security Officer, you are the formal interface to GNS / ANS and the CEO's trusted partner on every clearance, audit and facility question, accountable for our people, our facility and our information meeting ICEYE's global security standards and Portugal's national and NATO sovereignty requirements. It is a hybrid role, modelled on how ICEYE runs its other international sites, and it sits at the centre of everything ICEYE Portugal does.   WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   Facility and physical security - Own ICEYE Portugal's facility security programme: physical access control, secure-room build-out, visitor management, alarms, CCTV and key management. - Drive the office's NATO Restricted readiness audit with GNS and prepare for higher classifications as the customer mission evolves. - Run the secure handling of classified material in line with Portuguese national rules and ICEYE policy. - Partner with the CEO, Head of People & Operations, and the local IT Site Engineer on the Class A office fit-out, specifically on secure-area readiness for clearance-restricted workflows. Personnel security and clearances - Coordinate national security clearance applications (GNS / ANS) for the CEO, FDEs and other cleared roles, and maintain the cleared-personnel register (levels, expirations, briefings and debriefings). - Run security on-boarding and off-boarding for every employee and visitor: NDAs, security awareness, classified-handling training and access provisioning. Information and cyber security - Partner with ICEYE Oy Security leadership and HQ IT to translate the global cyber baseline (endpoint, MDM, network, identity) into local controls. - Lead local incident-response coordination: classified leaks, lost devices, social engineering and suspicious foreign-contact reporting. Vendor and supply-chain security - Vet and onboard local vendors against ICEYE security standards (cleaning, IT, real estate, broker, legal, accounting). - Run periodic security audits on key suppliers. Programme and customer security interface - Be the named security interface to the Portuguese Air Force, GNS / ANS, NATO and the Portuguese Space Agency on ICEYE Portugal matters. - Support the FDEs on customer-site security questions during the SAR / SIP deployment, maintain the local security policy library, run the annual security training programme, and contribute to ICEYE's global security community of practice.   WHAT WE’RE LOOKING FOR Must haves: - Formal Facility Security Officer (FSO) or Security Manager experience in defence, aerospace or critical infrastructure. - Working knowledge of physical security standards (locks, alarms, access control, CCTV, secure rooms) and information security frameworks (ISO 27001, NIST, NIS2). - Hands-on experience running or actively supporting national clearance processes (GNS / ANS) and NATO classification frameworks (NATO RESTRICTED minimum). - Active or recently held Portuguese national security clearance, or unambiguous eligibility to obtain one quickly. - Excellent written and spoken English and Portuguese. - Pragmatic, calm under pressure, comfortable with ambiguity and matrix reporting (Security, CEO). - Basic IT literacy sufficient to coordinate with the local IT Site Engineer on secure-area technical requirements (network segmentation, air-gapped systems).   Nice to haves: - Prior background as a non-commissioned or commissioned officer in the Portuguese Armed Forces, GNR, PSP, or SIS / SIED. - Experience with sovereign or accredited cloud (NATO RESTRICTED, EU RESTRICTED) and export-control regimes (Wassenaar, dual-use EU 2021/821). - Familiarity with Portugal's cyber regulator (CNCS) and NIS2 implementation. When applying, please indicate your annual gross salary expectations.   WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Sao Paulo Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description We're looking for Senior Software Engineer who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a Senior Software Engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in C# .NET, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity - Payments or financial knowledge is a plus, but not a necessity - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Sao Paulo Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description We're looking for Software Engineer who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a Software Engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in C# .NET, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity - Payments or financial knowledge is a plus, but not a necessity - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are building the future of live entertainment. We believe that by providing people with the best and highest-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together! We are seeking an experienced Python Developer (ML) to join our dynamic team ML team. Our technology stack: Languages: Python; Monitoring: Prometheus, VictoriaMetrics, Grafana, Grafana Loki, Sentry; DBs: MariaDB, Clickhouse, Redis; Streaming: Apache Kafka; Workflow management: Apache Airflow, Argo Workflow; Infrastructure: k8s, gitlab. Job Responsibilities Design and build production-grade Python services for running and maintaining ML applications for different domains: RecSys, CV, Classic ML, NLP. Develop and maintain data pipelines for training, validation, batch inference workflows Build internal tools and reusable modules for the ML team Implement monitoring and observability for ML services using metrics, logs, and dashboards. Contribute to continuous integration and delivery pipelines (testing, packaging, and automation). Develop visualization and debugging tools for model outputs — including active learning and content analysis interfaces. Ensure that all components are reliable, testable, and easy to maintain. You’ll thrive here if you have 3+ years of experience as a Python Developer, Backend Engineer, or Data Engineer. Strong Python skills (asyncio, FastAPI, pydantic, typing, modular architecture). Proven experience designing and deploying production systems with Docker, Kubernetes and CI/CD. Familiarity with ML workflows (you don’t need to train models yourself, but you understand how they’re served, retrained, and monitored). Experience building data pipelines and integrating with various data sources. Knowledge of metrics, logging, and observability best practices (Grafana, Prometheus, Loki, etc.). Strong understanding of testing, clean code, and maintainable software design. Qualification that can be a plus: Experience working with machine learning teams or MLOps pipelines. Experience with distributed systems or high-load backend services. 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. 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, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cypus): 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. 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, and cycling purchase compensation. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in 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. Recruitment process HR Interview (40 min); Technical Interview + Live Coding (1.5 hour); Final Interview (1 hour).

About Us & The Team Til-Qazyna is a national scientific and practical center dedicated to building the core digital and AI infrastructure for the Kazakh language. We develop foundational language resources, linguistic tools, and open-source models, including custom text corpora, morphological analyzers, RAG pipelines, and fine-tuned Large Language Models. We are looking for an AI Engineer to focus exclusively on natural language processing, corpus engineering, and LLM fine-tuning. Key Responsibilities • LLM Adaptation & Fine-Tuning: Fine-tune, evaluate, and benchmark open-source LLMs (Llama, Mistral, Qwen, Gemma) for Kazakh language understanding and generation using parameter-efficient methods (LoRA, QLoRA, PEFT). • NLP & Linguistic Tooling: Develop, maintain, and optimize rule-based and neural NLP components, including morphological analyzers, lemmatizers, tokenizers, and terminology parsers. • Corpus & Data Pipelines: Design automated pipelines for large-scale text crawling, data cleaning, deduplication, synthetic data generation, and dataset curation. • Inference & Deployment: Package NLP models and LLMs into containerized microservices (Docker, FastAPI) and optimize inference using modern serving frameworks (vLLM, Ollama, TensorRT-LLM, ONNX). Requirements • 1+ years of hands-on experience as NLP / AI / Machine Learning engineer. • Solid understanding of the Transformer architecture, attention mechanisms, embeddings, and tokenization. • Experience with core ML/NLP libraries: PyTorch, Hugging Face (transformers, datasets, accelerate, peft), Scikit-learn. • Experience building data preprocessing pipelines and working with structured/unstructured text data. • Practical knowledge of Docker, Linux, and Git. • Degree in Computer Science, Data Science, Applied Mathematics. Nice to Have • Hands-on experience with modern LLM serving and optimization engines (vLLM, TGI, llama.cpp, quantization techniques like AWQ/GPTQ). • Experience with RAG stacks (LangChain, LlamaIndex, ChromaDB, Qdrant, FAISS). • Understanding of the morphological, agglutinative, or grammatical characteristics of the Kazakh language. • Familiarity with alignment techniques (DPO, RLHF) or synthetic data generation. What We Offer • Direct impact on sovereign AI development and language technology used at scale. • Official employment in full compliance with the Labor Code of the Republic of Kazakhstan. • Access to high-performance GPU compute clusters for model training and experimentation.

Location: United Kingdom; Spain; Germany Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.   We're looking for a Staff Data Scientist, Pricing to build the analytical and machine learning capability that pricing runs on, from demand modelling through to the systems that recommend price. You won't be starting from zero. We've invested in the foundational data and infrastructure that pricing decisions depend on. What's missing is the capability on top: models the business trusts, experiments that settle pricing questions with evidence, and economics defined once so they hold consistently across Commercial, Product and the customer experience. The arc of the role runs from measurement to prediction to prescription - understanding how demand responds to price, forecasting how it will respond, and ultimately building the models that recommend the price itself. What You'll Do: Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destination, duration, data tier, and customer segment. Develop machine learning models for demand forecasting and willingness-to-pay, and take them from exploration through to production with the monitoring and retraining that keeps them honest. Move us from predictive to prescriptive by building the optimisation layer that turns forecasts and elasticities into recommended prices under margin, competitive and partner constraints. Design and analyse pricing experiments with statistical rigour, and apply causal methods where clean randomisation isn't possible. Define pricing within our data ecosystem, owning the governed definitions of price, cost and package economics that reporting, analysis and product surfaces all read from. Partner with Commercial and Finance to connect pricing decisions to margin and revenue, and to size opportunities before we commit. Set the analytical standard for pricing at Airalo, from what counts as evidence through to how a model or recommendation gets validated before it influences live pricing. What You'll Bring: 7+ years in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics work that demonstrably changed decisions. Experience with dynamic or algorithmic pricing systems in production. An advanced degree in Econometrics, Statistics, Operations Research or similar, or equivalent applied depth in demand estimation and the identification problems that make naive price-quantity regressions wrong. Hands-on machine learning experience across the full lifecycle, from feature engineering and model selection through to deployment Familiarity with optimisation and decision-science methods that turn predictions into recommended actions, whether through constrained optimisation, bandits, or reinforcement learning approaches. Proven experimentation expertise, having designed and defended experiments with a clear view on decision frameworks and common failure modes. Experience building analytical capability where none existed before, turning raw data and a business question into something a commercial team uses repeatedly. Strong data modelling instincts, thinking in reusable definitions and single sources of truth rather than standalone analyses. The ability to move comfortably between financial, product and operational data and connect the analysis to a financial outcome. Genuine partnership instincts, translating between analytical rigour and commercial reality so that Commercial and Product come to you early rather than after the decision. Fluency in the Python ML stack alongside strong SQL, with the engineering hygiene to hand over code that others can run and maintain. Excellent communication skills, including the ability to make a methodological argument to people who won't check your standard errors. A self-starter mindset that thrives in ambiguity and brings structure without waiting for permission. Comfort using AI tools to augment analytical work, with a point of view on where they help and where they don't Nice to have: Experience in marketplace, telecom, travel, or subscription/usage-based businesses. Bayesian or hierarchical modelling for sparse segments and long-tail SKUs. Competitive price response modelling, or working with scraped competitor pricing data. Familiarity with dbt, LightDash, or similar semantic/BI layers. Experience designing semantic or metric layers consumed by both analytics and production systems. Experience working in cross-functional teams spanning commercial, finance and product disciplines. If you are interested in this position, please apply via the link. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available: 📍UK: £93,200 - £139,800 📍Spain: €77,600- €116,400 📍Western/Northern Europe (Germany, France, Austria, Denmark, Sweden, Finland, Norway): €66,400 - €166,800 📍Southern Europe (Portugal, Italy, Greece, Malta): €70,000 - €137,000) 📍Central & Eastern Europe (Czechia, Hungary, Poland, Lithuania, Estonia): €60,000 - €117,000 📍South-Eastern Europe / Balkans (Romania, Serbia, Bulgaria): €56,000 – €100,000 Your Home Destination: 🛫  Local market rates and cost of living vary. Your specific range within this band depends on where you’re based, and there’s room to discuss what’s right for the person and the role. We’ll walk through your range together on your first call with our Talent team so we’re aligned for takeoff! 🎒✨

Location: Warsaw, Mazowieckie, Poland X-FLOW is a mobile game development company established in 2018. We gained recognition after the release of Happy Color , the most popular digital coloring book and one of the most successful ad-driven mobile apps in the world. We're a team of creative, hands-on professionals who love building products that bring joy to millions of users. We’re looking for a UI/UX Designer — someone detail-driven, visually sharp, and passionate about creating clean, polished, high-quality interfaces.  You’ll thrive here if you understand modern visual trends, push your designs to pixel-perfection and ready to dive deep into iterative cycles achieving the top-tier quality level. Key Responsibilities: Create high-fidelity UI designs for product features with a focus on pixel-perfect execution. Work on UI production tasks — drawing icons, interface elements, states, and variations. Collaborate closely with product managers, designers, and developers to refine features. Optional but nice-to-have: conceptual design of sections/features, UX wireframing, and basic motion/animation work. Requirements: 5+ years of experience as a UI or UI/UX Designer in mobile games. Strong visual design skills with a portfolio showcasing UI quality and attention to detail. Confident skills in Figma, Illustrator, Photoshop/ ProCreate. Solid understanding of vector and raster graphics. Ability to work with iterative feedback loops and experiment with multiple design directions. Propose fresh visual ideas, watch actual trends and visual routes over the mobile market. Nice to have: experience building UX structures, concept exploration, animation tools, or working on live products. Russian — C1 or higher. What We Offer: Competitive salary and benefits package. Opportunity to work with a talented and passionate team in a creative and dynamic environment. Flexible working hours and remote/office work options. Career growth and professional development opportunities. A fun and inclusive company culture that celebrates diversity and creativity. Join us and let’s create great content together! When you apply for this role, we process your personal data in accordance with our Candidate Privacy Notice ( https://xflowgames.com/candidate-privacy-notice ).

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Network Security team's remit is to secure Anthropic's networks across our cloud providers and our bare-metal AI data centers. We own egress and ingress controls, network segmentation, private connectivity between environments, and encryption in transit. We design, build, and maintain these controls, and we write the software that deploys, enforces, and monitors them. These controls protect our model weights, customer data, and internal assets. We are hiring an Engineering Manager to lead this team. Anthropic is adding data center sites and cloud regions quickly, and the team will grow with that work. In this role you will set the team's charter, practices, and priorities. You will partner with our infrastructure networking, cluster, and data center teams so security is built into network designs from the start. The goal is secure-by-default networking that lets research and product teams use compute in any environment without slowing them down. Key responsibilities We're hiring an Engineering Manager to lead a Network Security Engineering team in executing across critical initiatives including, but not limited to: Own the network security roadmap: threat model from the management plane through Kubernetes and cloud interconnects, decide what to build, and deliver it Be able to reason about the design and implementation of default-deny ingress and egress, segmentation between research, training, and production, private connectivity, and mTLS/service identity across every environment Ship these as secure-by-default primitives so new clusters, VPCs, and data center links inherit the right boundaries without security on the critical path Join networking, cluster, and data center teams at design time so topology, routing, and firewall decisions carry our invariants from day one Build visibility into traffic and boundary drift, with detection for exfiltration paths and automated remediation where safe Own the network security evidence for our security goals and compliance: the invariants hold, and you can prove it Hire, grow, and retain senior security software engineers; own their career development, and set the practices the team runs on as it scales Minimum Requirements: 8+ years of front line management experience Low ego, high empathy; has built diverse teams and has former reports who would work for them again Experience managing infrastructure or security engineering teams, including hiring, developing, and managing senior and staff engineers Has grown engineers into staff or lead roles, and has made the call to move someone out when coaching didn't work Kept a team intact and delivering through reorgs, charter changes, or leadership turnover Experience owning a security or infrastructure domain end to end: setting multi-year strategy, delivering year-long cross-organizational work with little direction, and answering to executives for its risk and tradeoffs Scaled a team and its systems together through hypergrowth, where last quarter's architecture was already too small Hands-on network security engineering in cloud and/or on-prem environments: VPC design, interconnects, private service connectivity, cloud firewall policy, egress control, physical segmentation, and out-of-band/management-plane security Threat modeling and risk assessment for networked systems, with the judgment to tell which controls reduce risk and which just look good on a diagram Secured Kubernetes networking at scale, or worked in high-assurance environments where controls had to be evidenced, not just deployed Preferred Qualifications: Built or rebuilt a hiring loop and held the bar while adding headcount quickly Exposure to large-scale distributed training and what it demands of a network Solved end-to-end networking problems directly with internal users, cloud account teams, and hardware or colo vendors Has taken infrastructure from zero to one and then to maturity: built the first version where nothing existed, then run and hardened it into a system other teams depend on at production-network reliability Pragmatic and steady: cares about unblocking research and product as much as a clean architecture, and brings patience and judgment to opinionated senior engineers Clear and persuasive communicator in writing and in person Familiar with AI security and safety concepts 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: Remote USA Workplace: remote ABOUT THE OPPORTUNITY Xsolla is seeking a Head of Underwriting to serve as the fund's senior credit authority alongside the Chief Credit Officer. You will design the underwriting framework from a clean sheet, lead the underwriting and structuring of the fund's first facilities, and stand in front of LPs as living proof that the fund underwrites to institutional standards. This is a builder's mandate. You will codify how this fund underwrites — the credit playbook, standards, templates, and documentation that make the process repeatable and defensible — and, as the team grows, mentor the junior credit hires who operate it. The role reports directly to Stan Rudoi, Chief Credit Officer and Head of the Xsolla Credit Fund, and sits on the fund's credit committee. ABOUT US  Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles). For more information, visit xsolla.com. Responsibilities Underwriting Framework and Credit Policy Design the fund's underwriting framework from scratch: credit policy, underwriting standards, rating and scoring methodology, credit memo templates, and approval workflows — built for LP diligence from day one. Build the data edge into the process: integrate Xsolla's payments telemetry and game-revenue data into underwriting as a durable information advantage. Deal Underwriting and Structuring Lead the underwriting of lending facilities to game studios and gaming businesses: financial analysis, revenue durability, downside cases, and recovery analysis. Structure facilities: term loans, revolvers, royalty- and revenue-based structures — including covenants, collateral packages, borrowing bases, and pricing. Draft and negotiate term sheets and credit documentation with borrowers alongside external counsel. Credit Committee and Governance Stand up and run the credit committee process: present transactions, document decisions, and maintain an audit trail that stands up to LP and auditor scrutiny. Establish portfolio monitoring: watchlist discipline, covenant tracking, and a workout playbook as the portfolio builds. LP Diligence and Fundraising Support Be the credit face of the fund: appear in fund materials and LP meetings as the fund's credit authority; own underwriting answers in LP due diligence. Support capital formation: help shape the fund's risk-return narrative, portfolio construction guidelines, and track-record presentation. Credit Playbook and Team Building Codify the credit playbook: standards, templates, and documentation that make the fund's underwriting repeatable and audit-ready. Build the bench: as the fund scales, hire and mentor the junior credit team — analysts, associates, and in time a portfolio/risk officer. Qualifications and Skills Experience 7+ years in private credit, direct lending, specialty finance, or leveraged finance, with personal responsibility for underwriting and closing institutional credit transactions. Experience at an early-stage or first-time credit fund — credit policy written from scratch, LPA input, first LP diligence — is strongly preferred. You have seen what a fund needs before it has infrastructure. Lending against media, IP, royalties, recurring digital revenue, or gaming businesses is a strong plus. A track record you can walk LPs through: deals underwritten, structures used, and how they performed — including the ones that went wrong and what you did about it. Skills and Competencies Deep fluency in credit analysis, financial modeling, covenant design, collateral structures, and credit documentation. The gravitas to sit across from LPs, investment committees, and founders — and the judgment to say no to a deal. Enjoys mentoring junior team members and building a strong credit culture as the team grows. Comfort operating in a lean, fast-moving team where you build the machine you then operate. Education and Credentials A bachelor's degree in finance, economics, business, or a related field; an MBA and/or a CFA charter is preferred. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Head of Underwriting – Credit Fundposition, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Credit history check Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information and supporting fund analytics, financial models, and deal data Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Remote USA Workplace: remote ABOUT THE OPPORTUNITY   Xsolla is seeking a Head of Investor Relations for the Xsolla Credit Fund, whose primary mandate is LP capital raising. While Xsolla's Capital Markets team covers investor relations across all of the company's strategic vehicles, this role is dedicated to the credit fund. Over time the role will also support fundraising for other Xsolla investment products, but the credit fund remains the primary focus.This is a relationship-led role. We are looking for someone who brings an established network of LP relationships — family offices, credit and alternatives allocators, funds of funds, and institutions — and who can open doors, engage principals, and personally steward investors from first conversation through diligence to commitment. ABOUT US  Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios and gaming businesses, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles). For more information, visit xsolla.com. Responsibilities LP Relationships and Origination Bring and grow the network: activate your existing LP relationships and originate new ones across family offices, credit and alternatives allocators, funds of funds, and institutions. Engage principals: represent the fund credibly with decision-makers and investment committees, and match opportunities to each investor's mandate and ticket size. Source and qualify the wider funnel: from conferences, investor databases, introductions, Xsolla contacts, and external research — qualified and prioritized by mandate fit. Steward each relationship through diligence, negotiation, and commitment — and after the close, as the foundation of the fund's long-term LP base. Follow-Through and Pipeline Discipline Drive follow-through from first contact to meeting, diligence, soft interest, and closed commitment — no lead goes stale. Prepare and send investor outreach and follow-ups; capture meeting notes, next steps, and commitment tracking after every interaction. Maintain clean CRM reporting: pipeline status, activity, outcomes, blockers, priorities, and weekly progress — so leadership always knows conversion rates, stage aging, and next actions per LP. Provide regular internal fund progress reporting to Xsolla leadership via Slack and other internal tools. A junior IR hire will take on pipeline operations as the raise scales. Fundraising Materials and Messaging Support and continuously improve investor materials: pitch deck, FAQs, data room, and meeting-specific talking points. Refine LP messaging, fund thesis, objection handling, and investor segmentation based on live market feedback. Write concise, institutional-quality investor emails, follow-ups, and presentation language. Diligence and Fund Setup Support Coordinate LP diligence requests across internal Xsolla teams, external advisors, legal, finance, and leadership. Support fund setup workstreams: data room preparation and upkeep, reporting readiness, and document management. Collect and synthesize investor feedback on fund terms, structure, risk-return profile, reporting, and allocation preferences to inform fund design. Cross-Product Fundraising Support As capacity allows, extend the same funnel discipline and materials support to other Xsolla investment products and strategic vehicles, in coordination with the Capital Markets team. Qualifications and Skills Experience 7+ years in investor relations, placement, private funds, investment banking, private credit, venture capital, private equity, family office, or institutional fundraising. An established, referenceable network of LP relationships — family offices, credit and alternatives allocators, funds of funds, or institutions — that you can activate for a first-time fund. This is the core requirement for the role. A track record of raising institutional capital, with a strong understanding of LP fundraising mechanics: fund materials, diligence processes, investor segmentation, and the private fund lifecycle. Direct exposure to private credit or first-time fund raises is a strong plus. Skills and Competencies Excellent business English; able to write concise investor emails, follow-ups, FAQs, and presentation language without supervision. Strong Excel / Google Sheets, CRM, tracking, reporting, and project management discipline. Commercial, structured, responsive, and able to manage many parallel investor conversations without dropping threads. The gravitas and credibility to engage principals, investment committees, and senior allocators as a peer. Sound judgment and discretion when handling sensitive fund and investor information. Interest in gaming, fintech, private credit, alternative investments, or digital platforms preferred. Education and Credentials A bachelor's degree in finance, economics, business, or a related field is preferred. CFA / CAIA or relevant securities licenses are viewed favorably but not required. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Head of Investor Relations – Credit Fundposition, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Credit history check Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information and supporting fund analytics, financial models, and deal data Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

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 Anthropic's consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again. The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done. Key responsibilities: Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend. Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list. Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution. Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk. Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it. Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you. Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop. Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning. Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership. Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours. Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts. Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory. Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on. Minimum qualifications: Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role. Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours. Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it. Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk. Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution. A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one. Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it. Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question. Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable. Preferred qualifications: 5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business. Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run. Experience running at-risk or red account reviews and turning stalled work around. Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them. Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers. Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not. Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial. Experience on a new team where the operating model was being written while you ran the book, and you shipped both. 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: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027. WHAT YOU'LL ACHIEVE: - You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows. - You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments. - You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion. QUALIFICATIONS: - Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. - To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027. - Previous internship experience. - Working towards a proficiency of one or more programming languages such as TypeScript, Node.js, or Python. SKILLS YOU'LL NEED TO BRING: - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. - You stay current with the latest tools like Codex, Claude Code, and other AI-assisted development environments. You're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users. - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. You think about the implications of what you're building and how it will impact real people's lives. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. - Passion for web applications: You can work with others to build and maintain quality user interfaces for a big audience, using Web technologies like HTML, CSS, JavaScript, and a modern UI framework like React. - Familiarity with backend systems: You understand how parts of a system fit together—from the user interface to the data model. Familiarity with database systems like Postgres, MySQL or MongoDB is a plus. NICE TO HAVES: - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You’re a builder who finds joy in building software solutions for yourself or others. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $135,000 - $155,000 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time. WHAT YOU'LL ACHIEVE: - Write clean, secure, tested, and documented code. - Design & enhance the Notion product with new capabilities with an AI first mindset - Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling. QUALIFICATIONS: - Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2028. - This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time. - Previous internship experience. - Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python. - You find large challenges exciting and enjoy discovering problems as much as solving them. - You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment. SKILLS YOU’LL NEED TO BRING: - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. - Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. - Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. - Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. - AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more NICE TO HAVES: - You have expertise with specific technologies that are part of our stack, including Typescript, React, Python. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. - You have interests outside of technology, such as in art, history, or social sciences. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.