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Location: Seoul, South Korea Freelance Trainer & Associate Consultant (Luxury Retail / Customer Experience) CXG 外部合作讲师 / 轻咨询顾问（奢侈品零售 / 客户体验） Location: Korea | Engagement Type: Freelance / Project-based 工作地点：韩国｜合作形式：自由职业 / 项目制合作 Role Positioning (Please Read Carefully) 岗位定位（请务必阅读） This is not a generic training role. You are expected to deliver impactful training and translate business challenges into actionable behaviors. 这不是一个通用型讲师岗位。你需要既能交付高质量培训，又能将业务问题转化为可执行行为。 Key Responsibilities 岗位职责 1. Training Delivery (Core): Deliver workshops for frontline and managers on service excellence, VIC clienteling, sales and leadership. 1. 培训交付（核心）：为一线及管理者提供培训，包括服务、VIC客户经营、销售转化及领导力。 2. Business Translation: Translate business issues into behavioral standards and training solutions linked to KPIs. 2. 业务转化：将业务问题转化为行为标准与培训方案，并与业务指标挂钩。 3. Content Adaptation: Customize CXG frameworks and localize for APAC. 3. 内容定制：基于CXG方法论进行客户化与本地化。 4. Light Consulting Support: Support workshops and provide structured feedback. 4. 轻咨询支持：参与客户讨论并提供结构化反馈。 Requirements Mandatory Requirements (Non-negotiable) 任职要求（硬性条件） Luxury / Premium Brand Experience: Must have hands-on experience (retail, clienteling, L&D). 奢侈品经验：必须具备深度在场经验（门店、客户经营或内部培训）。 Training Experience: Experience training frontline and managers with strong facilitation skills. 培训经验：具备一线及管理者培训经验，具备良好授课能力。 Business Understanding: Ability to connect training with business outcomes. 业务理解：能将培训与业务结果（转化、客户体验等）连接。 Preferred Profile 优先考虑 Store manager / L&D / consulting experience preferred. 有店长、培训或咨询经验优先。 Extensive experience in the automotive industry highly preferred. 汽车行业经验丰富者尤其优先。 Language: Korean & English delivery or Korean & Chinese delivery 语言要求：可以用韩语和英语授课或者韩语和中文授课 What We Do NOT Look For 不考虑人选 Generic trainers without retail experience or purely theoretical profiles. 无零售经验的通用讲师或纯理论型人员。 Application Requirements 应聘要求 CV + Training portfolio + 1 case (business challenge, solution, impact). 简历 + 培训案例 + 1个案例说明（业务问题、方案及结果）。 Benefits To be discussed during the interview. 服务费用面议

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: Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential: Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. We are hiring founding engineers for these two pillars. We are looking for engineers who have good product and business sense to drive strategy, dive into different stacks, and break through walls to drive these 0 -> 1 efforts. You'll be working closely with product, design, GTM, FDE, and other internal & external customers to build out and deliver on the strategy. Platform Serving: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers. Developer Experience: You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers. Agentic Systems: You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production. Auth & Identity: We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience. Platform Distribution: The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. Enterprise Foundations: We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. Platform Safety: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai , and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale. You Might Be a Good Fit If You: Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations — and can reach into the frontend when needed to ship an effective solution Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems Take a product-focused approach to your work work and care about building solutions that are robust, scalable, and easy to use Care deeply about investing in the mentorship and growth of your peers Have experience with distributed systems, API design, and cloud infrastructure at scale Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US Lisbon, Portugal London, UK NYC, US About the Role The Egress team was formed to own a very important aspect of Cloudflare's network-as-a-service: Egress connectivity for our vast portfolio of products. As a member of the Egress team, you will be a key technical contributor to a cutting edge network software infrastructure used by a growing number of Cloudflare products to connect to any destination from Cloudflare's network. Among the products powered by this technology is WARP, our Zero Trust platform, and Cloudflare's egress proxy for the iCloud Private Relay product. You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform. Likewise you will partner with Network Engineering and SRE to ensure that the technology makes the best use of Cloudflare's world-class edge network. You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more. Engineering teams at Cloudflare operate a Run What You Build model, including ours. We are responsible for the health of our system and participate in our team's on-call rotation as part of operational responsibilities. Because you’ll be solving problems of massive scale and significance, you are a growth-oriented individual who enjoys being outside of your comfort zone. You are comfortable in a fast-paced but sensible work environment. You value curiosity and empathy and lead with these values. Responsibilities Make daily progress on assigned engineering tasks, such as designing systems, writing specs, writing and pushing code via git, writing release plans for complex changes, rolling out production releases and working with other teams to coordinate system actions Participate in daily and ad-hoc team meetings to share progress and collaborate Participate in the team’s on-call schedule to ensure uptime of our production systems Investigating customer issues that are escalated to the Egress team for triage and resolution Responding to questions from other teams in the Egress team’s internal, public chat room Using AI-powered tools and systems as part of your daily workflow to analyze and extend codebases, introspect production systems and datasets, and accelerate problem-solving Desirable Skills, Knowledge, and Experience Programming experience in Go or Rust and a desire to improve your skills in both. A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model. Knowledge of HTTP, TLS, and CDN networks. Experience in implementing secure and highly-available distributed systems. Strong ability to debug issues in complex systems. Strong collaboration and communication skills. Experience/interest in HTTP networking and VPN technologies. Experience/interest in network performance monitoring and tuning. Willingness to adopt and integrate AI tools and systems into your engineering workflow. Bonus Points Knowledge of TCP/IP and Internet routing. Professional systems-level programming experience in Rust. Experience building tools and APIs. Experience with monitoring, alerting, and debugging large-scale distributed systems Experience participating in an on-call rotation. Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting. Compensation ● For Portugal based hires: Estimated annual salary is between €66,000 - €91,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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 are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go, Rust, or similar systems languages Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking Take full ownership of your work—from design through deployment and operations Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Care about building systems that other engineers love to use Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE Auth https://supabase.com/auth, written in Go https://github.com/supabase/auth (server) and with client libraries for TypeScript https://github.com/supabase/supabase-js, SSR https://github.com/supabase/ssr and for other frameworks and technologies, is one of the most popular products in the Supabase stack. We are seeking someone to help us build new and maintain existing Auth features. WHAT YOU’LL BE RESPONSIBLE FOR - Designing and implementing secure, scalable authentication features in Go and TypeScript. - Working across the stack: from server-side protocols to client-side libraries for frameworks like Next.js. - Owning the performance, reliability, and scalability of the Auth server across Supabase's infrastructure. - Contributing to the evolution of our Auth architecture, including support for OAuth, OIDC, SAML, and other protocols. - Planning and executing safe database migrations across a large fleet of Postgres instances. - Building and improving observability: metrics, tracing, alerting, and dashboards to keep the system healthy at scale. - Writing and reviewing RFCs as part of our product development process. - Collaborating with engineers across Supabase to ensure a seamless experience for developers using our tools. - Supporting the community and responding to developer feedback on GitHub, Discord, and other channels. YOU MIGHT BE A GOOD FIT IF YOU - (Required) Have 4+ years of professional experience writing and shipping Go in production. - (Required) Have 2+ years of professional experience working on an authentication system (implementing protocol support, maintenance at scale). - (Required) Have strong relational database experience (Postgres or MySQL); Postgres experience is a bonus. - Have strong knowledge of TypeScript in addition to Go (languages used daily). - Have strong knowledge of web technology fundamentals (cookies, sessions, JWT, HTTP, browser APIs). - Have good knowledge of and deep interest in authentication security (passwords, protocols such as OAuth, OIDC or SAML, cryptography fundamentals such as hash functions, signatures and ciphers). - Have experience working with multiple web frameworks like Next.js (or other SSR alternative in the JavaScript space) and traditional web frameworks like Ruby on Rails, Django, Laravel or equivalent (in any language). - Have good technical writing skills (RFC process is an important part of making changes to the Auth product). - Have hands-on experience building and operating services at significant scale. - Have deep understanding of systems-level concerns: memory management, concurrency patterns, and compute resource optimization in Go. - Have experience with Kubernetes and AWS (or comparable cloud platform) in a production setting. - Have solid grasp of observability practices — metrics, distributed tracing, structured logging, and alerting (e.g., Prometheus, Grafana, OpenTelemetry). - Have experience managing database schema migrations safely at scale. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: London Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, in-person in the London office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus

Location: London Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, in-person in the London office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We’re hiring a Director of Product Management to lead Workato’s Platform, Security, and Enterprise Readiness strategy. This is a high-impact role focused on building the foundation that unlocks enterprise adoption at scale —from secure deployments and governance to compliance, observability, and global infrastructure. You will define how large, regulated, and global organizations confidently adopt Workato for mission-critical workloads. This role sits at the core of Workato’s next phase of growth. You will unlock new enterprise and regulated markets by building platform capabilities that meet stringent security and compliance requirements. You will eliminate platform-level deal blockers that slow down or prevent large enterprise adoption. You will accelerate onboarding and time-to-value for customers adopting Workato at scale. You will enable customers to confidently run mission-critical workflows on the platform. In this role, y ou will also be responsible to: Identity, Access & Security You will define and scale authentication capabilities, including SAML, SCIM, 2FA, and domain management, to support enterprise identity standards. You will lead the evolution of authorization models, including RBAC 2.0 and fine-grained access controls across projects and shared assets. You will drive secure credential management through integrations with enterprise secrets and vault systems such as AWS, Azure, and HashiCorp. You will ensure strong platform security through encryption, data retention controls, and IAM-based access mechanisms. Enterprise Governance You will build governance models that enable centralized control across distributed teams using AHQ and multi-workspace management. You will define and enhance environment lifecycle management to support Dev, Test, and Prod workflows aligned with enterprise SDLC practices. You will deliver the Enterprise Command Center as a unified control plane for visibility, governance, and capacity planning across the platform. Ensure AI features ship with the same security posture as core platform capabilities Observability & Auditability You will define and scale platform observability, including centralized logging, audit trails, and debug trace capabilities. You will expand log streaming integrations to SIEM tools such as Splunk, Datadog, and cloud storage platforms. You will drive adoption of OpenTelemetry standards to enable enterprise-grade monitoring and tracing. You will enable API traffic monitoring and anomaly detection to strengthen platform security and operational visibility. Developer Platform & APIs You will expand developer APIs to enable programmatic management of workspaces, assets, and platform configurations. You will support enterprise CI/CD workflows through automation of deployments and environment management. You will define secure and scalable API access models with fine-grained permissions for enterprise use cases. Infrastructure & Deployment You will lead the strategy for private cloud deployments, including single-tenant environments within customer AWS networks. You will drive expansion into new data centers to meet data residency and sovereignty requirements. You will define and deliver cross-region backup and disaster recovery capabilities for enterprise resilience. You will ensure AI capabilities are available across regions to support global enterprise adoption. Compliance & Enterprise Expansion You will partner with compliance and security teams to support certifications such as SOC2, ISO, PCI, and HIPAA. You will translate compliance requirements into scalable product capabilities that reduce friction during enterprise onboarding. You will position compliance and security capabilities as strategic enablers for market expansion and deal acceleration. Customer Management and Deal Support Serve as the product leader in enterprise security reviews, Infosec questionnaires, architecture deep dives Influence customer and prospect CISOs, IT, Compliance and Security leaders at Enterprises procuring Workato platform Requirements Qualifications / Experience / Technical Skills You bring 10+ years of product management experience, with a strong focus on platform, security, or infrastructure products. You have experience building and scaling enterprise SaaS platforms used by large organizations. You have deep familiarity with identity and access systems, including SAML, SCIM, and RBAC models. You understand enterprise security, compliance frameworks, and governance requirements. You have experience with observability, logging, and audit systems in distributed platforms. You are comfortable working across engineering, security, infrastructure, compliance, and GTM teams. You can translate complex enterprise requirements into simple, scalable, and adoptable product experiences. You are familiar with SIEM tools and SOC workflows. You have built or managed developer platforms or platform APIs. You have experience supporting global SaaS deployments across multiple regions. Experience with taking products through FedRAMP certification is a plus (REQ ID: 2704)

Location: Singapore DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is looking for an outstanding Software Engineer with an expertise in C++ to work in our Singapore office. In this role, you will be a part of our Core Infrastructure team which is responsible for designing, developing and maintaining DRW's low latency trading platform which is deployed global.  You will be tasked with working on various areas of the technical stack including order routing, market data, and risk systems. To qualify for this role, you: Minimum of 5 years of experience working developing high-availability systems in C++ with very tight resource/latency constraints Have a background in multi-threaded programming and a strong understanding of hardware/software interaction Are comfortable working “under the hood” and you are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting Have experience working with C++ libraries like STL and Boost Are up to date on the C++23 standards and have opinions about them Have worked on challenging projects that involved things like building a custom compiler, writing a matching engine, or working with large amounts of data in real time Have strong English verbal and written communication skills Bonus points if you have: Experience working in the trading industry or another ultra-low latency sensitive business that involves solving remarkably complex problems Experience working with Research teams and Quants Experience working within gaming or streaming For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-PR1

Location: APAC OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are: At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: The OKX Data Team owns and powers the company’s enterprise-wide data ecosystem. We are responsible for the full data lifecycle — from technology selection and architecture design to data ingestion, storage, ETL development, visualization, business intelligence, and advanced data science. Our team drives end-to-end data ownership across OKX, ensuring that data is reliable, scalable, and actionable. We build the foundational data infrastructure that empowers evidence-based decision-making and continuously enhances the quality of our products and services. As a Data Engineering Director , you will lead a high-impact team in designing and scaling mission-critical data platforms that serve the entire organization. You will also play a key role in driving the adoption of Agentic AI to elevate how we build, operate, and evolve our Data Engineering capabilities. Responsibilities: Lead and mentor a team of Data Engineers to design and build resilient, scalable, and high-performance data pipelines for both batch and real-time streaming workloads Championing Agentic AI adoption across workflows (text-to-SQL agents, automated data quality remediation, self-healing pipelines etc.) Defining best practices, guardrails, and evaluation frameworks for safely deploying AI agents in the data lifecycle Architect and implement robust Data Warehouse and Data Mart solutions, including data modeling and ETL pipeline development Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling techniques (star and snowflake schemas) Define and implement cloud-based data infrastructure using industry-standard technologies and modern architectural principles Drive technical excellence and delivery across mission-critical projects in a fast-paced, high-growth environment Partner closely with cross-functional teams to translate business requirements into scalable data solutions Requirements: At least 8 of more years of experience in a Data Engineering, Data Warehousing or Data Mart related field Practical experience in building offline and real-time Data Warehouses Familiarity with Data Warehouse Modelling theory and experience in Data Warehouse Model Design, plus an in-depth understanding of Data Warehouse systems, and experience supporting real-world business scenarios Familiarity with Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, etc.) and productionising them in a data context Experience building AI-powered data tools — NL query interfaces, automated anomaly remediation agents, intelligent data observability Hands-on experience applying Agentic AI to data engineering (text-to-SQL, LLM-powered remediation, self-healing pipelines, automated metadata/lineage management and more) Good to have: Familiarity with various big data architectures, especially Alicloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris Experience in R&D of real-time big data systems and real-time data warehouses Experience in building Data Platforms such as User Profiling, Risk Control Systems, and Indicator Systems Prior experience managing a team of Software Engineers/Data Engineers Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process1 Discl aimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice . Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Espoo Workplace: Hybrid - Title:: Technical Release Manager - Department: Platform & Release Engineering - Location: Espoo, Finland - Reports to: Release Engineering Lead - Employment type: Permanent - Workplace model: On-site/Hybrid - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: The Technical Release Manager owns the end-to-end execution of releases in practice. This role ensures that releases are correctly prepared, executed, validated, and closed across engineering, product, and delivery teams. The Technical Release Manager is hands-on during release windows, acts as the primary operational contact, and ensures that what was planned is what actually runs in production. This role does not design release tooling or strategy but uses those systems to drive safe and predictable releases WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. KEY DUTIES (Coordinate → Prepare → Execute → Verify → Close) - Implement the release process and work closely with the other release representatives to create a seamless release experience for the organization - Coordinate end-to-end release execution across engineering, product management and delivery and support teams - Prepare and track release content, configurations, and dependencies to ensure technical readiness - Execute and support releases, including hands-on post-deployment validation and sanity checks - Validate release content, configurations, feature flags, and release-specific settings - Act as the primary operational point of contact during release windows - Identify, communicate, and escalate execution risks and blockers - Ensure release outcomes and follow-ups are clearly documented - Acts as gatekeeper together with QA Manager to make sure the set quality targets have been met - Owns the feedback loop through the whole release process through to delivery team and facilitate that information back to the product development organization WHAT ARE WE LOOKING FOR Core Experience - 5+ years of hands-on experience in one of the following roles: Release Manager, DevOps Engineer, Software Developer, or Technical Project Manager - Direct experience executing releases in a CI/CD-driven environment CI/CD & Tooling - Hands-on experience running, monitoring, and troubleshooting releases using GitHub Actions - Ability to interpret pipeline stages, logs, failures, and test signals - Experience triggering, re-running, rolling back, and validating pipeline executions - Working knowledge of Python or scripting to support release execution and operational automation Release Execution & Coordination - Experience running release syncs, tracking readiness, and managing cross-team dependencies - Ownership of release communications and internal release notes - Comfortable making and coordinating go / no-go decisions within defined criteria APPLICATION PROCESS - Hiring Manager Interview - Technical Task - Technical Discussion - Stakeholder Interview - Final Interview 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 and we will 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: Algiers, Algeria About P.I. Works P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower mobile operators to accelerate network transformation and drive quality and efficiency. Our solutions are currently deployed across 84 mobile network operators in 58 countries . At the core of our success is a culture built on integrity, trust, and respect. We are looking for a Technical Delivery Engineer to lead the delivery of our mobile network products, focusing on next-generation automation and maintaining high-level engagement with our customers. Job Description You will be responsible for delivering and tuning next-generation radio network automation solutions. This role requires a blend of deep technical expertise and strong stakeholder management to ensure project goals align with both company direction and customer expectations. Key Responsibilities: Deploy and tune automated optimization solutions based on operator requirements to maximize product value. Act as the primary technical point of contact, managing stakeholder expectations and ensuring project alignment. Lead technical meetings, monitor network KPIs, prepare feature activation reports, and perform acceptance tests. Conduct product demos, training sessions, and workshops for both project delivery and pre-sales activities. Provide support for active customers and relay critical technical feedback to our product and development teams. Work effectively in agile environments to ensure continuous evolution and delivery of automation tools. Required Qualifications 5+ years of hands-on experience in RAN Optimization (2G/3G/4G/5G) . Deep knowledge of at least one major vendor ( Ericsson, Huawei, or ZTE ). A versatile, quick learner who can easily adapt to new technologies and automated tools. Excellent customer-facing skills with the ability to manage complex stakeholder relationships. Proven ability to work in agile environments and manage expectations based on project goals. Degree in Electrical/Electronic Engineering or Telecommunications Engineering. Proficient in English (written and spoken). Eligible to work in Algeria Preferred Skills Prior experience with SON (Self-Organizing Networks) or RAN feature and parameter trials. Familiarity with IT/Software systems and SQL knowledge. Prior experience with Algerian operators is a plus.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a Microsoft SharePoint – Document & Content Management Specialist to manage and enhance our SharePoint platforms and optimize document and content management processes. In this role, you will be responsible for designing, configuring, and maintaining SharePoint sites, ensuring effective information architecture, compliance, and user accessibility across the organization. Responsibilities: • Assess current SharePoint implementation (sites, libraries, permissions, structure) • Redesign and configure document management architecture aligned with NDMO • Implement metadata structures, document classification, and retention policies • Configure access control, versioning, and approval workflows • Enable document lifecycle management (creation → review → archival) • Establish governance model for document ownership and stewardship • Support migration/restructuring of existing content where required Requirements • 3+ years working with Microsoft SharePoint (Online or On-Prem) • Strong experience in document management, records management, and governance • Hands-on expertise in SharePoint configuration (lists, libraries, workflows, permissions) • Familiarity with compliance frameworks for document control • Ability to translate regulatory requirements into SharePoint structures Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Orlando, United States; United States About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and tech platforms across SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a valued, in-house team member. About the Company Our client is an award-winning, full-service marketing and events agency delivering bold, results-driven campaigns across brand development, digital marketing, web, corporate events, live marketing, and video production. They combine strategic thinking with high-quality creative execution to help brands stand out and scale effectively. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a highly proactive and experienced Account Manager to lead client relationships, oversee delivery teams, and drive excellence across all client engagements. This is a senior leadership role for someone who thrives in fast-paced agency environments, excels in communication and organization, and has a deep understanding of digital marketing strategy. You will serve as the primary point of contact for key accounts, mentor the account management team, and ensure that all projects are delivered on time, on budget, and above expectations. Key Responsibilities Client Relationship & Communication Act as the trusted advisor and main point of contact for key client accounts Lead weekly client calls, deliver performance reports, and send proactive updates Maintain a culture of overcommunication—ensuring clarity on timelines, deliverables, and next steps Manage client expectations and resolve challenges before escalation Set and enforce communication standards across the account management team Account Management & Project Oversight Oversee full lifecycle of client engagements—from onboarding to execution Develop and manage project plans, timelines, and deliverables Coordinate cross-functional teams (creative, digital, production, events) Ensure scopes of work are clear and aligned with client goals Monitor budgets, track performance, and flag risks early Lead daily planning (Plan of Attack) and team status updates Digital Marketing Strategy Guide strategy across SEO, PPC, social media, email marketing, and content Review dashboards and campaign performance to ensure KPIs are met Translate performance data into clear, actionable insights for clients Collaborate with internal teams to optimize campaigns and drive ROI Stay ahead of digital trends and bring innovative ideas to clients Team Leadership & Mentorship Lead, mentor, and develop the account management team Establish processes, workflows, and quality standards Conduct regular performance check-ins and workload management Foster a culture of ownership, accountability, and proactive problem-solving Partner with leadership on account growth and upsell opportunities Strategic & Brand Development Develop and execute integrated marketing strategies and campaign plans Support campaign launches, creative briefs, and cross-team collaboration Ensure brand consistency across all channels and deliverables Analyze results and share insights to improve future campaigns Requirements 5+ years of experience in agency account management (required) 2+ years in a senior or leadership role managing teams Strong expertise in digital marketing (SEO, PPC, social, email, analytics) Proven experience managing enterprise or high-value client accounts Exceptional communication skills (written and verbal) Highly organized with strong project management capabilities Experience with tools like Slack, project management platforms, and reporting dashboards Ability to work in a fast-paced, deadline-driven environment Bachelor’s degree in Marketing, Business, Communications, or related field (preferred) Nice-to-Haves Experience in event marketing, experiential campaigns, or live marketing Familiarity with creative production workflows (design, video, web) Background in brand strategy and storytelling Experience contributing to new business pitches and account growth Benefits 🌎 Fully remote leadership role with global client exposure 🚀 Work with an award-winning agency on high-impact campaigns 📈 Leadership growth with direct influence on client success and team performance 🎯 Autonomy and ownership in shaping client services strategy 🤝 Direct placement with a premium international client

Location: Switzerland Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. Location & Employment - Location: remote within Switzerland - Employment type: Full-time, permanent employment - Hiring model: Employment via Employer of Record (EOR) Candidates must already have the legal right to work in Switzerland, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: UK Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Serbia Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Germany Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy