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Location: New York City, NY; San Francisco, CA; 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 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. Responsibilities: Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls –  and analyze the results in order make actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes Present complex technical analyses and recommendations to both technical and non-technical stakeholders Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow You may be a good fit if you have: 7+ years of experience in data science or analytics roles Deep expertise with Python, SQL, and data visualization tools Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments Highly effective written communication and presentation skills A track record of translating complex data into clear, actionable insights for both technical and business stakeholders A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress A passion for the company’s mission of building helpful, honest, and harmless AI Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem 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: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE 💭 We’re hiring a Brand Designer to lead the evolution and execution of the WorkOS brand across our website and digital ecosystem. You’ll work closely with the Creative Director and cross-functional partners to create scalable, beautiful, and performant web experiences that shape how developers and enterprise customers experience WorkOS online. You’ll also help guide the continued growth of our UI design system and overall digital design quality. You’ll join a close-knit, down-to-earth team that cares deeply about craft, creativity, and collaboration. While your primary focus will be owning web experiences, including the homepage, product pages, launch weeks, campaign microsites, and event experiences, you’ll also have opportunities to contribute to broader brand initiatives across digital and physical formats. This is a rare opportunity to take ownership over the digital expression of a fast-growing, design-forward company. RESPONSIBILITIES ✔️ - Lead the design and evolution of the WorkOS website and broader digital ecosystem, including marketing pages, launch weeks, campaign experiences, and event sites - Partner closely with designers, developers, marketers, and leadership to elevate the quality and consistency of all digital experiences - Evolve and maintain a scalable UI design system across web and product marketing surfaces - Translate complex technical concepts into intuitive, elegant, and developer-friendly experiences - Create cohesive visual and interaction patterns that strengthen the WorkOS brand across every digital touchpoint - Continuously improve design quality through user feedback, experimentation, analytics, and evolving best practices - Ensure all experiences are responsive, accessible, performant, and thoughtfully implemented across devices - Leverage modern AI-assisted design and production tools where appropriate to accelerate workflows and exploration while maintaining a high standard for craft and quality - Occasionally support broader brand initiatives including campaign creative, social assets, print collateral, and event branding - Stay current on modern web design systems, interaction patterns, and emerging digital trends QUALIFICATIONS 🌟 - 5+ years of experience designing high-quality web and digital experiences, with a portfolio demonstrating strong visual craft and systems thinking - Strong understanding of responsive design, accessibility, UX best practices, interaction design, and modern web standards - Experience owning or shaping web experiences and digital design systems across a brand or product ecosystem - Proficiency in Figma, Adobe Creative Suite, AI tools, and modern digital design workflows - Strong balance of creativity, usability, and systems thinking - Ability to design within a clean, minimal, and technical visual language aligned with the WorkOS brand aesthetic - Strong skill in communicating complex technical or product concepts in approachable and user-friendly ways - Experience collaborating closely with developers and working within front-end implementation workflows (HTML/CSS familiarity is a plus) - Familiarity with motion design, interaction systems, and modern web animation patterns - Deep curiosity and fluency with emerging AI-powered creative tools, with a proactive approach to experimenting, learning, and integrating new workflows without compromising quality or craft - Excellent communication and organizational skills in a fast-paced, remote-first environment Nice-to-Haves - Experience working on technically complex products, SaaS platforms, or developer-focused tools - Practical front-end development experience (HTML/CSS) - Experience using analytics, experimentation, or A/B testing to inform design iteration - Experience helping scale the digital presence of a fast-growing technology brand Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Senior Account Executive, UK Government who will play a critical role in building and scaling Figma’s presence within Government organisations. This is a specialist position focused on developing a new and strategic segment, requiring a highly experienced seller with deep domain expertise, strong executive relationships, and the ability to operate in an early-stage market. This role currently sits within the Enterprise segment and represents a unique opportunity to establish and grow Figma’s Government business from an early foundation. What you’ll do at Figma: Own and build Figma’s Government (Public Sector) pipeline and book of business, focused on establishing initial traction and long-term growth Create and execute a GTM strategy for Government accounts, identifying priority agencies and opportunities Build and nurture relationships with senior stakeholders and decision-makers across Government organisations Apply discovery-led, value-based selling to align Figma’s platform with complex public sector needs and procurement processes Develop and execute strategic account plans, driving multi-threaded engagement across departments and functions Navigate long, complex sales cycles, including compliance, procurement, and regulatory considerations Partner closely with cross-functional teams to position Figma effectively, drive deal progression and ensure successful adoption and expansion Lay the foundation for a scalable Government business, contributing to future team build-out as the segment grows We’d love to hear from you if you have: Significant experience selling into Government / Public Sector accounts A proven track record of building new business in greenfield or early-stage markets Experience managing complex enterprise sales cycles (6+ months) with multiple stakeholders Strong ability to engage and influence executive-level buyers Consistent performance in pipeline generation and net new business development While it’s not required, it’s an added plus if you also have: Experience navigating public sector procurement frameworks and compliance processes Background selling technical or platform-based solutions Ability to operate independently in a foundational, first-hire environment Demonstrated success in scaling new segments or markets over time At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; Lithuania; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken is building a dedicated AI Compute and Infrastructure team to power the next generation of model training, inference, evaluation, and experimentation across the exchange. This team sits within engineering leadership and owns the infrastructure layer that lets Kraken run AI workloads with control, speed, reliability, and cost discipline. The team is responsible for GPU and accelerator infrastructure, cluster operations, scheduling, model serving, observability, capacity planning, and cost-efficient compute at scale. This is the backbone that allows Kraken to train, serve, evaluate, and iterate on AI systems in-house where it matters for privacy, latency, reliability, cost, or product differentiation. You will join a small, senior, high-impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI ambitions real by building compute infrastructure that is fast, dependable, efficient, and production-grade.   THE OPPORTUNITY - Own and operate GPU and accelerator clusters used for training, inference, evaluation, and experimentation, including drivers, runtimes, kernels, device plugins, node configuration, scheduling primitives, and workload isolation. - Design infrastructure that enables Kraken teams to run models locally on GPUs where it is strategically and economically preferable, reducing unnecessary dependency on external providers and containing compute costs. - Build and improve scheduling, orchestration, placement, quota management, and utilization systems across heterogeneous accelerator environments. - Optimize inference pipelines for latency, throughput, reliability, memory efficiency, and cost using frameworks such as vLLM, Triton Inference Server, TensorRT, or equivalent serving stacks. - Partner with ML engineers and researchers to remove bottlenecks in training, evaluation, batch inference, online inference, deployment, and production debugging workflows. - Build observability for GPU utilization, memory pressure, queue depth, saturation, token throughput, request latency, failed workloads, capacity pressure, and spend. - Drive reliability, incident response, alerting, runbooks, and post-incident improvements for always-on AI compute infrastructure. - Evaluate and integrate new hardware, cloud instance families, specialized accelerators, runtimes, schedulers, and serving frameworks as the AI infrastructure landscape evolves. - Build tooling that makes GPU usage visible, accountable, and easier for internal teams to consume without needing to become infrastructure experts. - Contribute to long-term architecture decisions that balance performance, cost efficiency, scalability, operational simplicity, and production safety.   WHAT YOU BRING - 5+ years of infrastructure engineering experience, with significant time spent on GPU compute, ML infrastructure, distributed systems, high-performance computing, or large-scale production platforms. - Hands-on experience operating GPU clusters or accelerator-backed infrastructure in production or production-like environments, including scheduling, orchestration, utilization monitoring, and cost optimization. - Strong systems engineering fundamentals across Linux, networking, storage, containers, Kubernetes, distributed runtimes, and production debugging. - Experience with ML serving frameworks such as vLLM, Triton Inference Server, TensorRT, TorchServe, KServe, Ray Serve, or equivalent systems. - Proficiency in Python for infrastructure automation, tooling, debugging, integration, and operational workflows. - Practical understanding of performance tradeoffs across batching, concurrency, memory usage, GPU utilization, model size, latency, throughput, availability, and cost. - Track record of optimizing compute costs while maintaining clear performance, reliability, and availability expectations. - Experience building observable systems with useful metrics, logs, traces, dashboards, alerts, and incident workflows. - Comfortable working in high-stakes, always-on environments where uptime, throughput, correctness, and operational discipline are critical. - Clear communicator who can translate infrastructure tradeoffs for researchers, product teams, platform engineers, security stakeholders, and engineering leadership.   NICE TO HAVES - Experience at a frontier AI lab, hyperscaler, high-frequency trading firm, research platform, or high-scale ML organization. - Familiarity with custom silicon or specialized accelerators such as TPUs, AWS Trainium, Gaudi, or similar platforms. - Background in capacity planning, procurement input, reserved capacity strategy, cloud accelerator economics, or GPU fleet cost management. - Experience with distributed training frameworks such as DeepSpeed, Megatron-LM, FSDP, Ray, or equivalent systems. - Experience debugging CUDA, NCCL, kernel, driver, runtime, memory, networking, or low-level performance issues. - Experience with Rust, C++, Go, CUDA, or other systems languages used for performance-critical infrastructure. - Crypto, financial services, trading infrastructure, or security-sensitive production infrastructure experience. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational excellence practices (incident response, postmortem culture, on-call) Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium) Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 7+ years of software engineering experience, including time as a technical lead setting direction for a team Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on Build and maintain custom controllers, operators, and CRDs Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities Collaborate with cloud providers on required features and escalations Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications Significant software engineering experience building and operating production distributed systems Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments) Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF 12+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris; Warsaw; Istanbul Workplace: OnSite ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising prototype in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become. In this role, you'll work across our midcore game portfolio, contributing your artistic skills to titles that have already demonstrated strong core mechanics and real player engagement. Midcore games demand a rich and immersive visual language, from compelling character and environment art to visceral combat feedback and cohesive world-building, and your work will be central to delivering that. You'll have the opportunity to contribute directly to the growth and visual refinement of our midcore titles, leveraging their existing traction to build truly exceptional player experiences. This is a unique chance to join a project pipeline with established momentum, while still having a significant impact on the creative direction within a dedicated and agile studio environment. ROLE - Design UX flows and UI visual assets, working closely with the Game Designer to create intuitive and engaging player experiences - Contribute as a generalist UI/UX designer, applying strong visual design and art skills across both user experience and interface aesthetics - Build and maintain the product's UI/UX framework in Figma, ensuring consistency, scalability, and clear design documentation - Iterate quickly based on feedback, playtesting results, and evolving design needs in a fast-paced development environment - Prepare and export UI assets for implementation in Unity, collaborating with developers to resolve integration challenges PROFILE - 3–5 years of UI art experience in mobile games - Solid UX design fundamentals with hands-on experience shipping titles - Proficient in Figma and Photoshop - Comfortable handling the implementation of UI and assets into Unity. - Experience building and maintaining UX/UI framework libraries within a game project - Comfortable using AI tools to accelerate prototyping and asset creation - Proactive mindset — able to identify product needs, source references, and drive solutions independently BENEFITS • Best-in-class compensation • Other benefits according to the country you reside

О ПРОЕКТЕ Мы создаем мощные технологические решения для международной платежной индустрии. Наши продукты ежедневно обрабатывают миллионы транзакций, поэтому мы ищем инженера, который знает всё о производительности баз данных и умеет выжимать максимум из архитектуры. ТВОИ КЛЮЧЕВЫЕ ВЫЗОВЫ — Data Architecture: Проектирование и развитие моделей данных для OLTP/OLAP систем. — High-Performance SQL: Разработка пайплайнов и работа со сложными запросами (Large Joins, Window Functions). — Massive Data: Работа с партиционированными таблицами (10 млн+ записей в день). — Logic in DB: Разработка хранимых процедур и реализация бизнес-логики внутри БД. — Optimization: Глубокий анализ планов выполнения и ускорение «тяжелых» агрегаций. МЫ ЖДЕМ ОТ ТЕБЯ — PostgreSQL Master: 3+ года опыта работы в High-load среде. — SQL Expert: Ты виртуозно владеешь EXPLAIN и знаешь, как превратить медленный запрос в молниеносный. — Scale Experience: Опыт работы с репликацией (GTID, Failover) и большими объемами данных. — Analytical Mind: Понимание принципов построения аналитических систем. — Responsibility: Способность самостоятельно проектировать решения и отвечать за результат. БУДЕТ ПЛЮСОМ — Опыт работы в Fintech или платежных сервисах. — Навыки работы с Clickhouse или Cassandra. — Опыт построения Real-time аналитики. ПОЧЕМУ ЭТО КРУТО? — Complex Tasks: Работа с действительно большими объемами данных на международном рынке. — Strong Team: Окружение из сильных инженеров и экспертов отрасли. — Growth: Возможность профессионально расти, решая задачи, которые не встретишь в обычном ритейле. — Rewards: Конкурентная зарплата, обсуждаемая индивидуально под твой уровень.

Location: South Africa About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a highly skilled and performance-driven Senior Meta Ads Specialist (Media Buyer) to manage, optimize, and scale paid advertising campaigns across Facebook and Instagram. The ideal candidate has extensive experience driving customer acquisition, lead generation, and revenue growth through strategic media buying and data-driven campaign optimization. In this role, you will be responsible for managing high-performing Meta ad campaigns, analyzing performance metrics, testing creatives and audiences, and continuously improving return on ad spend (ROAS). You will collaborate closely with creative, marketing, and leadership teams to execute growth-focused advertising strategies for international brands. Key Responsibilities Plan, launch, and manage high-budget Meta advertising campaigns across Facebook and Instagram. Develop and execute full-funnel paid social strategies focused on lead generation, eCommerce sales, or customer acquisition. Conduct audience research, targeting optimization, and A/B testing to improve campaign performance. Monitor campaign KPIs including ROAS, CPA, CTR, CPC, and conversion rates. Analyze performance data and provide actionable recommendations for scaling campaigns. Collaborate with creative teams to develop high-converting ad creatives and copy. Implement retargeting and remarketing strategies to improve conversion performance. Manage advertising budgets efficiently while maximizing ROI. Stay updated with Meta Ads platform changes, trends, and best practices. Generate weekly and monthly performance reports with insights and optimization recommendations. Troubleshoot account issues, tracking discrepancies, and ad performance fluctuations. Requirements 4+ years of experience managing Meta Ads campaigns at a high level. Proven track record of scaling campaigns with strong ROAS performance. Strong understanding of Facebook Ads Manager, Meta Pixel, Conversion API, and attribution models. Experience handling monthly ad budgets ranging from $10,000 to $100,000+. Deep knowledge of audience segmentation, retargeting, and conversion optimization. Strong analytical skills with the ability to interpret campaign data and make strategic decisions. Experience using tools such as Google Analytics, Looker Studio, Hyros, Triple Whale, or similar analytics platforms. Excellent communication and collaboration skills. Experience working with eCommerce, SaaS, lead generation, or direct-response brands is highly preferred. Ability to work independently in a fast-paced remote environment. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Colombia; Mexico; Chile; Brazil; Argentina; Honduras About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking an experienced Senior Media Buyer with a strong background in the pharmaceutical and healthcare industries to lead paid media strategy, campaign execution, and performance optimization across multiple digital advertising channels. The ideal candidate has deep expertise in managing compliant healthcare advertising campaigns, scaling paid acquisition efforts, and driving measurable ROI while navigating industry regulations. This role is ideal for a highly analytical and results-driven media buying professional with hands-on experience across Meta Ads, Google Ads, LinkedIn Ads, programmatic platforms, and healthcare-focused advertising strategies. Key Responsibilities Plan, launch, and optimize paid media campaigns across Meta, Google, LinkedIn, and programmatic platforms. Manage healthcare and pharmaceutical advertising campaigns while ensuring compliance with industry regulations and platform policies. Develop audience targeting and acquisition strategies for patients, healthcare professionals, and healthcare organizations. Monitor campaign performance, analyze KPIs, and optimize for ROAS, lead generation, and conversion growth. Conduct A/B testing across creatives, messaging, audiences, and landing pages. Manage advertising budgets and scale campaigns based on performance insights. Collaborate with creative and marketing teams to develop high-performing healthcare-focused campaigns. Prepare performance reports and provide strategic recommendations to stakeholders. Requirements 4+ years of experience in media buying and paid advertising. Proven experience within the pharmaceutical, healthcare, medical, or wellness industries. Strong expertise in Meta Ads, Google Ads, LinkedIn Ads, and programmatic advertising platforms. Experience managing compliant healthcare and pharmaceutical marketing campaigns. Strong understanding of conversion tracking, attribution, retargeting, and campaign optimization. Proficiency with analytics and reporting tools such as Google Analytics and Looker Studio. Experience managing advertising budgets and optimizing for ROI. Strong analytical, communication, and project management skills. Experience working with remote or cross-functional teams is preferred. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Bucharest, Romania AMC Studio is a world-leading 3D art and game development studio based in Bucharest, Romania, and part of the Keywords Studios international group. Founded in 1996 and with nearly 30 years of activity, AMC has provided 3D art services for major Triple-A titles such as The Witcher 3: Wild Hunt, Call of Duty, Dead Space, World of Tanks, and the Mafia franchise. At the core of the studio is a passionate team of artists whose adaptability across art styles - from stylized to photorealistic - brings game worlds to life. Responsibilities: Compose and dress environments to support gameplay readability, player navigation, and visual storytelling Maintain visual quality and consistency of levels according to the project's quality bar and art direction Gather and organize reference materials for environment assets Follow studio pipelines, naming conventions, and asset management guidelines Assemble and modify modular environment assets to build architectural and environmental spaces Prepare visual breakdowns, reference boards, and asset lists when required Act as production and artistic support for the Lead Level Artist Integrate environment assets and textures into the level Optimize levels for performance in collaboration with Tech Art and Design (draw calls, LODs, streaming) Set up asset properties related to visuals and performance (LODs, collisions, materials) Support bug fixing and visual polish throughout production and testing Verify level quality in engine and make necessary improvements Requirements Understanding of architectural and natural environment composition, scale, and structure Knowledge of gameplay readability, player navigation, and visual guidance principles Experience optimizing levels for real-time engines (LOD, draw calls, streaming,etc.) Strong modeling skills for modular environment assets Experience with Maya and/or Blender Experience with material blending and vertex painting systems Proficiency in Unreal Engine or similar real-time engines Experience with Substance Painter/Designer Understanding of physically based rendering (PBR) workflows and material standards Strong eye for detail and consistency with the project’s art style Ability to collaborate effectively in a multidisciplinary team Nice to have: Knowledge of material optimization techniques for real-time engines Basic understanding of lighting principles and experience adjusting lighting in real-time engines Experience with procedural tools such as Houdini is a plus Experience working on shipped titles Benefits Competitive remuneration Projects aligned with your expertise and interests Collaboration with industry leaders on AAA titles Professional growth opportunities Flexible work arrangements An environment dedicated to diversity and inclusion

Location: Salt Lake City, Utah, United States About the Role iCapital’s Distributed Ledger Technology team is looking to hire a Senior Blockchain Backend Engineer to develop an industry-wide distributed ledger solution for the alternative investment ecosystem to facilitate access to private markets investments for advisors and their high-net-worth clients using innovative technology solutions. The ideal candidate is able to understand complex business problems, scope projects, identify business opportunities, optimize workflows, and communicate their findings across all levels of the organization. This role is highly visible and involves working closely with other teams in Engineering, Product, senior leadership, and industry partners. Responsibilities Design and implement a private and permissioned distributed ledger using DAML or Canton and other open source blockchain frameworks. Build and maintain a RESTful API using Python and FastAPI. Provide technical leadership to motivate and guide team members and mentor junior engineers. PArticipate in daily stand-up meetings and peer code reviews as part of the standard SDLC. Stay current with the latest developments in blockchain technology and incorporate them into the iCapital ecosystem. Qualifications 5+ years software engineering experience building enterprise SaaS cloud-based solutions 2+ year technical leadership and management experience Experience with DAML, Solidity, or other blockchain programing languages Experience with Python, Toke and FastAPI Demonstrated understanding of relational database concepts and modeling practices Experience building APIs for large scale applications using AWS Benefits The base salary range for this role is $120,000 to $145,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: United States Workplace: Remote As a Strategic Account Executive for Financial Services, you will own a focused book of named financial services accounts — including banks, asset managers, exchanges, insurance carriers, and fintech platforms. You will be responsible for the full sales cycle: from identifying new use cases and building executive relationships to negotiating and closing complex, multi-stakeholder deals. This is a high-impact individual contributor role for someone who thrives in a technical sales environment and wants to be a foundational part of building ClickHouse’s strategic sales motion in one of the most demanding verticals in the world. What You’ll Do - Own a named account list of strategic financial services organizations and develop deep, multi-threaded relationships across technical, business, and executive stakeholders - Drive net new ARR and expansion revenue through a consultative, value-based sales approach - Lead complex enterprise sales cycles, including procurement, legal, security review, and multi-product negotiations - Partner closely with Solutions Architects to ensure technical alignment and long-term customer success - Understand and articulate ClickHouse’s technical differentiation — including performance benchmarks, architecture, and deployment models — at a level of depth that earns credibility with data engineers, architects, and CTOs - Develop and execute strategic account plans, identifying expansion opportunities and mapping the political landscape within each account - Represent the voice of the customer internally, shaping product roadmap priorities and go-to-market strategy for the financial services vertical - Travel to customer sites, conferences, and team offsites as needed (approximately 25–40%) What We’re Looking For - 7+ years of enterprise sales experience, with at least 3 years selling to financial services organizations (banking, capital markets, insurance, fintech, or asset management) - Demonstrated track record closing large, complex deals ($500K+ ACV) with long sales cycles involving multiple stakeholders - Experience selling technical infrastructure products — databases, data platforms, cloud infrastructure, developer tools, or similar — is required; you must be able to engage credibly in technical conversations - Deep understanding of the financial services technology landscape, including data architecture patterns common in FS environments (real-time risk, fraud, trading analytics, regulatory reporting) - Strong executive presence with the ability to build trusted advisor relationships at the C-suite and VP level - Experience working in a high-growth, early-stage or scaling startup environment is strongly preferred - Familiarity with MEDDIC, MEDDPICC, or similar enterprise sales methodologies - Ability to work independently and navigate ambiguity in a fast-moving environment Nice to Have - Prior experience selling open-source or consumption-based products - Experience with real-time analytics, time-series databases, OLAP, or columnar data systems - Existing relationships with data/technology buyers at major financial institutions PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: European Union Workplace: Remote ABOUT THE ROLE We’re looking for a Senior Integration Engineer to take full ownership of partner integrations - from initial onboarding through to go-live and beyond. This is a delivery-focused, highly technical role where you’ll act as the key bridge between partners, commercial teams, and engineering. You won’t just coordinate - you’ll drive integrations forward, solve complex issues, and ensure partners are successfully launched.   KEY RESPONSIBILITIES - Own end-to-end partner integrations: kickoff, implementation, testing, and go-live - Drive multiple integrations in parallel, ensuring timely and high-quality delivery - Act as the main technical point of contact for partners (from engineers to C-level stakeholders) - Lead technical discussions and solution design, ensuring alignment between partner requirements and our platform - Work closely with internal teams to ensure smooth integrations and resolve technical challenges along the way - Translate partner needs into clear technical requirements and push back when needed - Collaborate closely with Commercial, Onboarding, and Engineering teams to support business goals - Ensure successful delivery and provide technical sign-off before go-live - Contribute to improving integration processes, documentation, and scalability REQUIREMENTS - 3+ years of experience in: - Integration Management - Technical Account Management - Solutions Engineering - Strong understanding of: - REST APIs, JSON, HTTP - Webhooks, idempotency, error handling - Solid understanding of networking fundamentals: - TCP/IP, DNS - Experience with API security: - API keys, OAuth, JWT - Request signing (HMAC), replay protection - Hands-on experience with: - Logs and monitoring tools (ELK, Kibana, Grafana, or similar) - Ability to review, understand, and create technical documentation, including API documentation - Strong analytical thinking with the ability to identify root causes in complex systems - Excellent communication skills - comfortable working with both technical and business stakeholders - Ownership mindset - proactive, accountable, and delivery-driven NICE TO HAVE - Experience in iGaming, fintech, or SaaS environments - Experience working with aggregators or platform integrations - Exposure to high-scale environments with multiple concurrent integrations - Experience handling partner negotiations or technical discussions at a senior level - Experience writing scripts or working with a programming language (e.g. Python, JavaScript, Bash) - Leadership potential (opportunity to grow into a lead role) WHAT WE OFFER - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement RECRUITMENT PROCESS 1. HR Interview (45 minutes) 2. Technical & Hiring Manager Interview (90 minutes) 3. Final Interview with C-level (60 mins) By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Colombia; Brazil; Argentina Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. What you will do - Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking. - Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions. - Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences. - Contribute to analytical planning and ensure alignment with overall business objectives. - Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value. - Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives. What you bring - Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing). - Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation. - Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). - Experience leading or mentoring analytics teams and coordinating with business stakeholders. - Excellent communication skills, able to translate between technical and business perspectives effectively. - Solid understanding of business processes and data structures. - Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value. - Fluency in English for meetings with international clients. Nice to have - Hands-on experience with deep learning, computer vision, or generative AI projects. - Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. - Experience with data visualization or BI tools for communicating insights. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Paris; Warsaw; Istanbul Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising prototypes in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become. In this role, you'll work across our midcore game portfolio, contributing your artistic leadership to titles that have already demonstrated strong core mechanics and real player engagement. Midcore games demand a rich and immersive visual language, from compelling character and environment art to visceral combat feedback and cohesive world-building, and your vision will be central to delivering that. You'll have the opportunity to drive the growth and visual refinement of our midcore titles, leveraging their existing traction to build truly exceptional player experiences. This is a unique chance to join a project pipeline with established momentum, while having a defining impact on the creative direction within a dedicated and agile studio environment. ROLE - Define and own the overall artistic vision for the game, ensuring consistency, quality, and alignment with the product's creative and commercial goals. - Establish and maintain a cohesive visual style across all art disciplines — UI/UX, characters, environments, VFX, and animation. - Lead, mentor, and inspire a multidisciplinary art team, providing clear creative direction and actionable feedback at every stage of production. - Collaborate closely with the General Manager to align the visual direction with gameplay intent and player experience goals. - Drive the creation and governance of visual style guides, asset pipelines, and quality benchmarks. - Actively contribute hands-on to key art assets and concepting where needed, setting the quality bar for the team. - Champion player-centric design thinking, using live data, competitor analysis, and playtesting insights to continuously refine the game's visual experience. PROFILE - Proven experience as an Art Director or Senior Lead Artist on at least one shipped mobile title, ideally within the midcore genre. - Strong portfolio demonstrating end-to-end ownership of a game's visual identity, from early concept through to live product. - Deep understanding of the visual language of midcore games — including character design, environment art, UI/UX, and combat feedback systems. - Demonstrated ability to lead and develop multidisciplinary art teams in a fast-paced, iterative environment. - Hands-on proficiency in Unity, with the ability to implement, integrate, and optimise assets directly in-engine. - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work - Fluent in English. BENEFITS • Best-in-class compensation • Other benefits according to the country you reside

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 We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on Build and maintain custom controllers, operators, and CRDs Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities Collaborate with cloud providers on required features and escalations Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications Significant software engineering experience building and operating production distributed systems Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments) Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF 10+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.