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Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Talent Attraction Partner - Location: Espoo, Finland - Department: Talent Attraction - Reports to: Talent Attraction Lead - Employment type: Contract - Workplace model: Hybrid (3 days / week onsite) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As a Talent Attraction Partner, you’ll be the engine behind hiring for ICEYE’s Global Manufacturing Organisation — owning full-cycle recruitment across manufacturing, supply chain, logistics and other areas. You’ll act as a strategic partner to hiring managers, using sharp market insight to identify and secure the talent that drives ICEYE’s growth. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Deliver impact hires: Manage ~8–10 concurrent roles, achieving quality & efficiency metrics - Source and engage niche talent: Build data-informed sourcing campaigns for hard-to-fill roles across manufacturing, supply chain, logistics and other areas. - Partner with hiring teams: Act as a trusted consultant and process owner, guiding managers through structured, fair, and evidence-based hiring decisions. - Drive process excellence: Uphold rigor and consistency in ATS workflows, ensuring compliance and a best-in-class candidate experience. - Enhance TA capability: Share best practices, insights, and market data to help strengthen recruiting acumen across the broader team. WHAT WE’RE LOOKING FOR MUST HAVES: - Full-cycle Talent Acquisition Expertise: Manages the entire recruitment lifecycle independently across manufacturing, supply chain, logistics and other areas. - Creative Sourcing & Market Intelligence: Designs and executes data-informed sourcing strategies for niche and hard-to-fill roles. - Assessment Design & Bias Mitigation: Builds structured, evidence-based interview processes that ensure fairness and predictive validity. - Stakeholder Partnership & Influence: Acts as a trusted advisor to hiring managers, balancing business needs with talent quality and process integrity. - Operational Rigor & Prioritization: Manages multiple parallel searches efficiently, maintaining process consistency, compliance, and a high-quality experience for candidates and hiring teams. - Adaptability & Judgement Under Pace: Maintains clarity, composure, and sound decision-making in a high-growth, fast-moving environment, adapting priorities without compromising quality or alignment to mission goals. NICE TO HAVES: - Experience recruiting for defence, space, deep-tech, or other mission-driven industries. - Familiarity with market intelligence tools and the ability to translate data into sourcing strategy. - Prior experience in a high-growth scale-up or international environment. APPLICATION PROCESS - Recruiter screen (30 min) - Hiring manager interview — competency and role-fit (60 min) - Practical task - stakeholder scenario - Final panel 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. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us — we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

About Welltory Welltory is a leading wellness app with over 17 million downloads in 130+ countries — mostly in the US — and more than 200,000 five-star ratings. Their creative team tests new hooks, messages, and visual approaches for TikTok, Meta, YouTube, and other performance channels. AI is integrated into their production process for finding visual solutions and generating material. Задачи: — создавать и анимировать performance-креативы по сценариям и раскадровкам — самостоятельно находить визуальные решения для сцен без готового исходного материала — создавать AI-сгенерированные изображения и видео и комбинировать их с живым видео, стоковыми материалами и интерфейсами — анимировать интерфейсы приложения Welltory, Apple Watch и других устройств — работать с трекингом, композитингом, маскингом, ротоскопингом и визуальными эффектами — заниматься монтажом, звуковым дизайном и финальной сборкой — создавать новые версии успешных креативов и тестировать новые идеи с командой — пробовать новые AI-инструменты и внедрять их в производство для повышения скорости и качества работы Требования: — коммерческий опыт в motion design от 1 года — уверенное владение Adobe After Effects, Graph Editor, трекингом и композитингом — хорошее чувство анимации, тайминга, ритма и композиции — умение реалистично интегрировать UI в устройства и живое видео — базовые навыки Photoshop и Figma — понимание монтажа и звукового дизайна — опыт или интерес к AI-генерации изображений и видео, способность быстро осваивать новые инструменты — понимание performance-рекламы: важность первых секунд, работа с хуками, отличие эффективного креатива от просто красивого — самостоятельность в выполнении задач без детальных инструкций, умение находить решения и работать через тесты и итерации Желательно: — опыт performance-маркетинга, платных соцсетей или мобильных приложений — опыт создания рекламы для TikTok, Meta или YouTube — навыки работы с Blender, Cinema 4D или другими 3D-выражениями и автоматизацией рутинных задач — опыт в сфере здоровья, wellness или потребительских приложений Условия: — гибкий график и культура доверия, ориентированная на результат — конкурентная зарплата, бонусы по результатам и опционы — 50% субсидия на оборудование после 6 месяцев — доступ к терапевту и программе поддержки сотрудников — медицинская страховка — поддержка личного обучения и развития — неограниченный отпуск — культура открытости, честности и высоких стандартов Процесс найма: — просмотр портфолио — тестовое задание — интервью с HR — интервью с креативной командой

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner , working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: New Jersey; New York; Pennsylvania; Connecticut; Massachusetts Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

Location: Megalopoli, Arcadia, About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the Role: We are seeking a seasoned Mechanical or Electrical Engineer to lead the operations of our new data center. As the Data Center Operations Manager, you will be responsible for the complete physical infrastructure of the facility, ensuring 24/7 uptime, safety, and efficiency. This is a hands-on leadership role for an engineer who thrives in mission-critical environments. You will be the ultimate owner of the site's mechanical, cooling, and electrical systems, leading a team of on-site technicians and defining the operational standards that will ensure our success. What you will do: - Take full ownership of the data center's physical infrastructure, including all mechanical, electrical, and cooling systems. - Lead and coordinate a team of on-site technicians, managing 24/7 shift operations and ensuring a culture of safety and precision. - Develop and implement operational procedures, maintenance plans, and incident response protocols (MOPs, SOPs, EOPs). - Oversee the performance and capacity of all critical systems, using data to make informed decisions and prevent downtime. - Serve as the lead incident commander during facility emergencies, guiding the team to a swift and effective resolution. - Manage relationships with vendors, contractors, and local utilities. What you will need: - A degree in Mechanical Engineering or Electrical Engineering. - 7+ years of hands-on experience in a mission-critical operational environment such as a power plant, industrial facility, marine vessel (engine room), or large-scale manufacturing. - Deep expertise in either industrial cooling systems (chillers, pumps, piping) OR high-availability electrical distribution (UPS, generators, switchgear). - A proven track record of leading technical teams and managing 24/7 operations. - Strong problem-solving skills and the ability to remain calm and effective under pressure. - Fluency in Greek and English (professional proficiency preferred but not mandatory). What is there for you - A unique opportunity to transition your engineering skills into the high-growth AI infrastructure industry. - The chance to build and lead operations for a new, state-of-the-art facility from day one. - A stable, long-term leadership position based in Megalopoli. - A competitive compensation package and the opportunity for significant career growth.

Location: Munich; Neuss; Berlin Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - German security clearance (Sicherheitsüberprüfung Ü1/Ü2/Ü3) - Must be eligible and able to attain relevant national and NATO security clearances - Must be based in-country and native level speaker of the country you're deploying to. THE MISSION OF THE FORWARD DEPLOYED AI ENGINEER In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. DAY TO DAY RESPONSIBILITIES: PLATFORM DEPLOYMENT & INTEGRATION - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers). - Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters. - Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools. - Troubleshoot deployment issues in disconnected environments without external internet access. AI SOLUTION DEVELOPMENT & CUSTOMIZATION - Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis. - Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks. - Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language. - Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources. DATA FUSION & INTELLIGENCE WORKFLOWS - Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT). - Develop automated workflows that correlate and cross-reference information across different data modalities. - Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs. CUSTOMER ENGAGEMENT & RAPID PROTOTYPING - Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems. - Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements. - Conduct hands-on training sessions on platform capabilities and AI workflow usage. - Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams. WHAT WE ARE LOOKING FOR MUST HAVE SKILLS: - 3+ years hands-on software engineering building and deploying production systems. - Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust. - Hands-on experience with LLMs, prompt engineering, and RAG systems. - Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases. - Experience with Docker and deploying in secure / isolated / air-gapped environments. - Practical experience with APIs, data pipelines, and integrating systems in production, - Familiarity with Linux and basic Kubernetes operations. - Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture. - Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. NICE TO HAVE SKILLS: - Experience in defense, intelligence, or government operational environments. - Deploying to on-prem data centers and/or air-gapped networks. - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience with MCP integrations, multi-agent systems, or agentic workflows. - Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD. - Understanding of intelligence analysis workflows and defense/government requirements. - Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS). - Background in solution engineering, technical consulting, or customer success. - Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups). APPLICATION PROCESS - Talent Acquisition Interview - Take home task - Hiring Manager Interview - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com https://www.iceye.com

Location: Worldwide Workplace: hybrid POSITION SUMMARY At Aroya Cruises, the Rigging & Automation Technician is in an integral part Cruise Department, focused on delivering a vibrant and "Remarkably Arabian" experience. This role involves supporting the Entertainment Technical Manager and Cruise Director in the delivery of the Aroya Entertainment product to our Guests inside the ship by ensuring the movement of all automated stage equipment, rigging, safety devices and managing the safety of personnel on stage, The Rigging & Automation Technician must be able to perform a basic troubleshooting of the Automation & Rigging System and related equipment and must be able to adjust to changes in schedules, assignments and deadlines while maintaining a collaborative and positive team environment. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Expertise in Rigging & Automation: Demonstrates a detailed knowledge of rigging and automation, with the ability to operate the stage automation control system in a safe and effective manner. Manages the system during rehearsals, shows, set up etc. to ensure maximum safety for all involved. Directs all scenic changeovers and ensures they are completed in a safe and timely manner. Advanced knowledge of technical theatrical productions, and safe rigging practices. Intermediate to Advanced knowledge of backstage environment and operation. Intermediate to Advanced knowledge of various automation systems including (but not limited to) Eris, Nomad, Acrobat, Visual Stage control systems. They will work to ensure a positively, vibrant and culturally immersive guest experience. Must be able to provide quality service and be able to enhance the experience for guests onboard. Guest Engagement: Provides courteous service to guests and attends to queries and resolves all guests’ complaints immediately. Communication: Maintains ongoing communication with Entertainment Technical Manager, Stage supervisor and team members to ensure alignment and address any needs or concerns. Ensures any feedback or ‘guest complaints’ are directed to the right areas for positive and efficient resolution. Grooming Standards Compliance: Always adheres to grooming standards in alignment with brand expectations and guidelines. Safety and Compliance: Responsible for performing Safety, Environmental, and Emergency Response duties as assigned, in accordance with Aroya Cruises' protocols. Attends briefing and meeting as required. Always enforces the company policies and procedures. Inspect and keep updated Auditable records as per QMS regarding safety of the automation and rigging equipment. Responsible for the safekeeping of the entire automation & rigging equipment. Equipment Management/Maintenance: Manages the inspection of scenic installations after changeovers with Stage Supervisor to ensure that all props and equipment are secure and safe. Assists the onboard Electronics Engineer (Hotel) for preventive maintenance and cleaning of all automation & rigging equipment and control system. Maintains up to date auditable records of all shows and changes. Maintains up to date auditable records of all shows and changes. Must provide detailed and accurate Tracking Sheets, Safety Checklist to Stage Supervisor and/or Entertainment Technical Manager Inventory Management: Conducts monthly inventory counts and daily checks on inventory. Time Management: Effectively practice proper time management to prepare, execute and break down set ups and venues for assigned activities and events. Embarkation/Disembarkation: Supports with guest flow and general assistance of the Hotel Department to ensure the guests receive a ‘remarkably Arabian’ welcome and farewell. Additional Duties: Carries out any other duty which may be reasonably requested by the Entertainment Technical Manager, Stage Supervisor or Cruise Director SKILLS Demonstrates strong command of both verbal and written communication skills in English. Proficiency in Arabic is desired. Capable of addressing issues effectively and developing appropriate solutions. Exhibits strong customer service skills Outgoing, Proactive and Team Player. Able to communicate and socialise well with peers and guests. Must have a positive and pleasant work attitude. Must be able to work and excel in a team environment and individually. Must have detailed knowledge of rigging and automation, and an overview of all technical systems Must be flexible in terms of last minute changes in itineraries, activities and events. 31/12/2026

Location: Russia Workplace: remote We are looking for a highly motivated and strategic Customer Success Manager to join our team. In this role, you will manage a portfolio of high-value clients, ensuring their satisfaction, growth, and long-term retention. Acting as a trusted advisor, you’ll be the key point of contact between our customers and internal teams, driving product adoption, identifying new business opportunities, and ensuring seamless execution of customer needs. Key Responsibilities Build and nurture strategic relationships with a portfolio of major clients to ensure satisfaction, retention, and growth. Understand customer goals and business needs through in-depth discovery and regular communication, ensuring our solutions align with their objectives. Propose new products, features, and solutions to drive customer value and support their ongoing success. Act as the voice of the customer internally , liaising with product, sales, and support teams to ensure timely and accurate delivery of customer requests. Own the execution of customer deliverables , ensuring internal stakeholders are aligned and accountable. Resolve issues and manage escalations with professionalism, protecting the integrity of the relationship. Conduct regular Business Reviews to assess customer health, review progress toward objectives, and gather actionable feedback. Identify and support upsell and expansion opportunities , contributing to revenue growth through long-term relationship development. Track and analyze customer success metrics to generate actionable insights and report on customer performance at a senior level. Qualifications Proven 1-2 years of experience in Customer Success, Account Management, or related client-facing roles Strong ability to build relationships and influence stakeholders at all levels, both externally and internally. Excellent communication, presentation, and problem-solving skills. English speaking skills – Proficiency / Advanced; must be able to communicate clearly and professionally with global clients and internal teams. Comfortable working cross-functionally with product, engineering, and sales teams. Data-driven mindset with experience in analyzing metrics and translating them into business outcomes. Proactive, detail-oriented, and highly organized with a strong sense of ownership and accountability. Experience in industry, e.g., gaming, SaaS, fintech is a plus. Why Join Us Opportunity to work with top-tier clients and make a measurable impact. A dynamic, collaborative team culture that values innovation and initiative. Continuous learning and growth opportunities within a global organization. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Paid professional training and attendance at specialized conferences Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library Health & dental insurance No dress code Comfortable and new office environment

Location: Worldwide Workplace: hybrid POSITION SUMMARY  Technical Stage Staff is in an integral part Cruise Department, focused on delivering a vibrant and "Remarkably Arabian" experience. This role involves supporting the Stage Supervisor, Entertainment Technical Manager and Cruise Director in the delivery of the Entertainment product to our Guests inside the ship by delivering basic maintenance, repair and operation of live stage and backstage equipment for all shows performed in the main theatres. The Theater - Technical Stage Staff must be able to understand and react quickly to new directions in a fast-paced environment and adjust to changes in schedules, assignments and deadlines while maintaining a collaborative and positive team environment. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Expertise in Technical Stage (Theater): Demonstrates ability to assist in performing preventive maintenance & basic repair on scenery including general carpentry, scenic painting, and other maintenance responsibilities as required. Cleans and maintains the backstage areas including workshops. Assists with under stage cleaning, to ensure safe & efficient operation. Performs specific backstage track during performances in theatre with the ability to change directions in a timely manner. Assists with all scenic changeovers and ensures they are completed in a safe and timely manner. Assists with the arrangement of scenery and props on stage as directed during rehearsals, shows, & changeovers. Maintains the overall look and quality of scenic items and personal props. To be able to assist other technicians whenever needed. They will work to ensure a positively, vibrant and culturally immersive guest experience. Must be able to provide quality service and be able to enhance the experience for guests onboard. Guest Engagement: Provides courteous service to guests and attends to queries and resolves all guests’ complaints immediately. Is aware of, and/or acquires the necessary knowledge to comply with the ship’s standard operation, in order to assist guests and crew members with inquiries. Communication: Maintains ongoing communication with Stage Supervisor, Assistant Stage Manager and fellow team members to ensure alignment and address any needs or concerns. Ensures any feedback or ‘guest complaints’ are directed to the right areas for positive and efficient resolution. Coordinates with the Stage Supervisor, Assistant Stage Manager and Entertainment Technical Manager to deliver accurate maintenance tracking sheets during position handover. Grooming Standards Compliance: Always adheres to grooming standards in alignment with brand expectations and guidelines. Safety and Compliance: Responsible for performing Safety, Environmental, and Emergency Response duties as assigned, in accordance with Aroya Cruises' protocols. Always enforces the company policies and procedures. Attends meetings, training activities, courses and all other work-related activities as required. Manages safety requirements during rehearsals, shows, and changeovers to ensure maximum safety for all involved especially when automation movement is taking place. Equipment Management/Maintenance: Reports any equipment in need of repair or replacement to the Stage Supervisor. Maintains and updates records of all shows and changes to backstage tracks, rigging & scenic changes. Maintains and updates auditable inventory of all entertainment props and equipment. Inspects on a weekly basis all electrical cabling for scenic, automation, and lighting; reports any defects to the Supervisor. Maintains and inspects all equipment. Inventory Management: Conducts monthly inventory counts and daily checks on inventory in order to ensure that all props and items are available for the shows Time Management: Effectively practice proper time management to prepare, execute and break down set ups and venues for assigned activities and events. Embarkation/Disembarkation: Supports with guest flow and general assistance of the Hotel Department to ensure the guests receive a ‘remarkably Arabian’ welcome and farewell. Additional Duties: Performs other duties which may be reasonably requested by the Stage Supervisor, Entertainment Technical Manager or Cruise Director SKILLS Demonstrates strong command of both verbal and written communication skills in English. Proficiency in Arabic is desired. Capable of addressing issues effectively and developing appropriate solutions. Exhibits strong customer service skills Outgoing, Proactive and Team Player. Able to communicate and socialise well with peers and guests. Must have a positive and pleasant work attitude. All team members must be physically fit to the job required including lifting more than 25 pounds. Must be able to work and excel in a team environment and individually. Must be flexible in terms of last minute changes in itineraries, activities and events. 31/12/2026

Location: Worldwide Workplace: hybrid POSITION SUMMARY Shipwide Sound & Light Technician is in an integral part Cruise Department, focused on delivering a vibrant and "Remarkably Arabian" experience. This role involves supporting the Entertainment Technical Manager and Cruise Director in the delivery of the Entertainment product to our Guests inside the ship by being responsible for the use/operation, movement, and storage of all audio-visual equipment as delegated/assigned by the Technical Entertainment Manager for performances by entertainers, as well as all programmed activities by the entertainment staff. The Shipwide Sound & Light Technician must be able to act as audio-visual troubleshooter to help solve any equipment or staging problems as delegated by the Entertainment Technical Manager and must be able to adjust to changes in schedules, assignments and deadlines while maintaining a collaborative and positive team environment. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Expertise in Light & Sound: Demonstrates intermediate to advanced knowledge of standard theatre operations including, Audio and Lighting operations, has the ability to set, strike, operate or otherwise work with relative Audio-Visual (AV) equipment as instructed by the Entertainment Technical Manager in accordance with the specific disciplines assigned. Sets up any appropriate venue where a lecture or other activity may be conducted, as required by the Assistant Cruise Director and Cruise Director. Designs or implements the design of lighting, sound, and stage effects for Featured Entertainers/Musicians as assigned. They will work to ensure a positively, vibrant and culturally immersive guest experience. Must be able to provide quality service and be able to enhance the experience for guests onboard. Guest Engagement: Provides courteous service to guests and attends to queries and resolves all guests’ complaints immediately. Is aware of, and/or acquires the necessary knowledge to comply with the ship’s standard operation, in order to assist guests and crew members with inquiries.   Communication: Maintains ongoing communication with Entertainment Technical Manager and fellow team members to ensure alignment and address any needs or concerns. Ensures any feedback or ‘guest complaints’ are directed to the right areas for positive and efficient resolution. Grooming Standards Compliance: Always adheres to grooming standards in alignment with brand expectations and guidelines. Safety and Compliance: Responsible for performing Safety, Environmental, and Emergency Response duties as assigned, in accordance with Aroya Cruises' protocols. Always enforces the company policies and procedures. Attends meetings, training activities, courses and all other work-related activities as required. Equipment Management/Maintenance: Reports any equipment in need of repair or replacement to the Entertainment Technical Manager Inventory Management: Conducts monthly inventory counts and daily checks on inventory. Time Management: Effectively practice proper time management to prepare, execute and break down set ups and venues for assigned activities and events. Embarkation/Disembarkation: Supports with guest flow and general assistance of the Hotel Department to ensure the guests receive a ‘remarkably Arabian’ welcome and farewell. Additional Duties: Carries out any other duty which may be reasonably requested by the Entertainment Technical Manager or Cruise Director SKILLS Demonstrates strong command of both verbal and written communication skills in English. Proficiency in Arabic is desired. Capable of addressing issues effectively and developing appropriate solutions. Exhibits strong customer service skills Outgoing, Proactive and Team Player. Able to communicate and socialise well with peers and guests. Must have a positive and pleasant work attitude. Must be able to work and excel in a team environment and individually. Must be able to adapt to confined and sometimes limited living conditions for extended periods of time. Must be flexible in terms of last minute changes in itineraries, activities and events. 31/12/2026

Location: Worldwide Workplace: hybrid POSITION SUMMARY At Aroya Cruises, the VR & Arcade Staff is in an integral part Cruise Department, focused on delivering a vibrant and "Remarkably Arabian" experience. This role involves supporting the Entertainment Technical Manager and Cruise Director in the delivery of the Entertainment product to our Guests inside the ship by hosting and assisting on the VR and arcade equipment. The VR & Arcade Staff must be knowledgeable in operating the entire VR/ Arcade machines and equipment. They must excel in, trouble shooting and guest service while maintaining a collaborative and positive team environment. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Expertise in Entertainment Delivery: Demonstrates understanding and ability to host and assist on the VR and arcade equipment, able to rectify or trouble shoot basic machine malfunctions and ensuring a positively, vibrant and culturally immersive guest experience. Must be able to provide quality service and be able to enhance the experience for guests onboard. VR & Arcade Management: Prepares the VR/ Arcade venues for business each day. Ensures the stipulated venue opening and closing hours are strictly adhered to. Ensures the daily opening and closing procedures of the arcade are followed. Maintains daily log book and submits daily operational report to the Entertainment Technical Manager Revenue Promotion: Identifies and promotes all revenue centers onboard in an organic and genuine manner, tailored to the expectations of Arabian travelers. Guest Engagement: Provides courteous service to guests and attends to queries and resolves all guests’ complaints immediately. Partners with The Shore Excursions Team to escort guests on tours during port calls, enhancing guest engagement. Communication: Maintains ongoing communication with Entertainment Technical Manager and fellow team members to ensure alignment and address any needs or concerns. Ensures any feedback or ‘guest complaints’ are directed to the right areas for positive and efficient resolution. Equipment Management/Maintenance: Monitors out-of-order machines and adopt a pro-active maintenance approach reporting to Entertainment Technical Manager any equipment malfunctions or problems. Maintains library of all the machines and simulator manuals, spare part manuals and other reference material. Conduct a weekly calibration of VR/Arcade machines and create a report sheet for reference. Plans and supervises regular maintenance checks on the VR / Arcade machines and ensures that the maintenance log is updated regularly Inventory Management: Conducts monthly inventory counts and daily checks on inventory. Grooming Standards Compliance: Always adheres to grooming standards in alignment with brand expectations and guidelines. Safety and Compliance: Responsible for performing Safety, Environmental, and Emergency Response duties as assigned, in accordance with Aroya Cruises' protocols. Attends briefing and meeting as required. Enforces the company policies and procedures at all times. Time Management: Effectively practice proper time management to prepare, execute and break down set ups and venues for assigned activities and events. Guest Satisfaction: Monitors Guest Satisfaction scorecards in relation to the broadcast operation and service provided. Follows up on necessary points raised or observed Embarkation/Disembarkation: Supports with guest flow and general assistance of the Hotel Department to ensure the guests receive a ‘remarkably Arabian’ welcome and farewell. Revenue Promotion: Identifies and promotes all revenue centers onboard in an organic and genuine manner, tailored to the expectations of Arabian travelers. Additional Duties: Performs any other duty which may be reasonably requested by the Entertainment Technical Manager or Cruise Director SKILLS Demonstrates strong command of both verbal and written communication skills in English. Proficiency in Arabic is desired. Capable of addressing issues effectively and developing appropriate solutions. Exhibits strong customer service skills Outgoing, Proactive and Team Player. Able to communicate and socialise well with peers and guests. Must have a positive and pleasant work attitude. 31/12/2026

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Controls Engineer to join our Control Team in Boston. You will own how we know our controls stack works: the testing and validation infrastructure that turns "it looked fine on the robot" into measured, reproducible evaluation, the observability and failure analysis that makes runtime behaviour visible and failures shareable, and the documentation and runbooks that let the team self-serve without institutional knowledge. You will also strongly contribute to first-time bring-up of new hardware for Boston components and validate changes end-to-end on real robots before the wider team depends on them. The ideal candidate has strong control fundamentals, solid software engineering discipline across the stack - from control code to test harnesses to diagnostic tooling - and the debugging instincts that only come from real hardware. You will work across the whole control stack and be the person the team relies on to tell them the truth about their code. WHAT YOU'LL DO Testing & Validation Infrastructure: - Build and own hardware-in-the-loop (HIL) and integration test workflows that quantify controller and motion repeatability and accuracy - turning "it looked fine on the robot" into measured, reproducible evaluation. - Define and implement repeatability and accuracy metrics for controller and motion changes, and the harnesses that make those measurements consistent across runs and across robots. - Expand unit and integration test coverage across the controls components the team actually runs - actuator drivers, hardware interfaces, whole-body control, and the teleoperation pipeline. - Develop automated regression checks that surface controls regressions - in accuracy, repeatability, or behaviour - in simulation and on hardware before they reach the wider team. - Work with controls engineers to define testability requirements for new components and algorithms, so things are built to be evaluated and validated. - Package controllers into cleanly separable, reusable, and easily testable interfaces - so individual controllers can be developed, swapped, and validated in isolation. New Hardware Bring-Up & Integration: - Strongly contribute to first-time bring-up of new hardware for Boston components, and to their integration into the controls stack. - Validate hardware and software changes end-to-end on real robots before broader team use - structured, documented, and repeatable. Debugging, Observability & Failure Analysis: - Instrument the controls stack to improve visibility into runtime behaviour - logging, tracing, and diagnostic tooling. - Reproduce hardware and software failures in structured, developer-shareable formats; feed structured root-cause context back to algorithm and hardware owners. - Identify and resolve cross-stack failure modes that span controls, firmware, and hardware. Documentation & Knowledge Transfer: - Write and maintain engineering documentation for the controls stack: HIL and test coverage, and bring-up/integration guides for new hardware. - Own runbooks that let controls engineers self-serve validation, integration, and recovery without relying on institutional knowledge. WHAT WE'RE LOOKING FOR - Substantial hands-on robotics experience on real hardware. - Strong control theory foundation (joint-space control, PID and feedforward, impedance/admittance, observers, state estimation, filtering, stability) — enough to define meaningful repeatability and accuracy metrics for a control stack and interpret what they say. - Shipped software across the stack: modern C++ inside a real-time control codebase, plus Python for test harnesses, analysis and tooling. - Built test automation, HIL or integration-test infrastructure for complex physical systems — and got other engineers to actually use it. - Solid measurement and data analysis judgement: sampling, timing and synchronisation, noise, statistical significance, and knowing when a difference between two runs is real. - Strong debugging across software/firmware/hardware boundaries, with the discipline to reproduce failures in a form other engineers can act on. Nice to have: - Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation. - Observability tooling: logging and tracing frameworks, metrics collection, time-series databases, dashboarding (e.g. Grafana). - First-time hardware bring-up experience: new actuators, sensors or compute targets integrated into a control stack. - A track record of engineering documentation and runbooks that outlived their author. - Release management or quality gates for safety-relevant software. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St); AU: Canberra (68 Northbourne Avenue); AU: Brisbane (243 Edward St) Workplace: Hybrid THE ROLE AND IMPACT This is a role for a search specialist who wants to work at genuine scale. As a Senior Engineer on Xero's Search team, you will help maintain and evolve one of the largest search clusters in the Southern Hemisphere; part of an entire vertical stack delivered to customers. The work is both meaningful and technically stretching: keeping 50+ million searchable documents and 400 terabytes of searchable data at global scale running at 99.9% uptime, whilst contributing to a significant four-year platform rebuild that will shape the next generation of Xero's growth. Currently serving over 200,000 daily active users, this is a product at meaningful scale. Beyond the day-to-day, this role is about real ownership. You will contribute across both search-specific and generalist engineering work, raise and review pull requests, and lead projects. If you are someone who cares about quality and gets energised by hard problems at scale, this is a place where your work will genuinely matter. THE TEAM AND HOW THEY CONNECT The Search team is a small, tight-knit group spread across Melbourne, New South Wales and New Zealand, now part of Xero's Catalyst platform division. You will partner closely with this experienced group who are building the next generation of search infrastructure, a dedicated Product Manager, a Principal Architect, and the Catalyst Platform team who coordinate changes and releases across services. The team brings a high-quality mindset to everything they do, and solves challenging technical problems together. THE TEAM IS CURRENTLY WORKING ON - A large-scale search platform rebuild (Horizon 2) – a multi-year project at the heart of Xero's infrastructure, addressing critical infrastructure limits and building a scalable future - Maintaining and evolving the cluster to keep systems running at 99.9% uptime whilst serving over 200,000 daily active users - Integrating with the ODL (Operational Data Layer) on the ingestion pipeline for the new platform - Exploring new partnership opportunities with Mobile, Files, and AI-adjacent search capabilities as the platform evolves WHERE AND HOW YOU CAN WORK This role can be based in Australia or New Zealand. You will have genuine flexibility in where you work day to day. The team comes together in Melbourne approximately every six months; a chance to connect, align, and spend time in person with colleagues across regions. Xero also offers boost days, giving you the option to work from the office and collaborate with the broader Xero community when it suits you. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring strong search engineering experience and know what it takes to build, maintain and scale search systems in a production environment handling hundreds of millions of documents - Solid software engineering and development fundamentals are part of your toolkit, and you are comfortable contributing to both search-specific and generalist engineering work - Quality comes first for you – you hold a high bar for the code you write and review, and care about doing things properly - Working collaboratively with others comes naturally to you, whether that is with engineering, product or infrastructure teams across a distributed environment -

Location: Remote, San Francisco, CA 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 We’re looking for a Developer Relations Engineer based in San Francisco to join our team and to help more developers discover, learn, and build with Supabase. You’ll create high-impact content, build real-world projects, and represent Supabase across communities and events. If you’re equally energized by writing code and teaching others, this is the role for you. WHY THIS ROLE MATTERS Supabase is growing fast with 350,000+ developers, 1,000+ OSS contributors, and a thriving open source ecosystem. Our users are builders, startup founders, weekend hackers, and engineers scaling to millions of users. DevRel is how we meet them where they are: through content, community, and code. We’re building a community of communities that brings together developers from many backgrounds, including first-time open source contributors. As a DevRel Engineer, you’ll be a bridge between Supabase and the broader developer ecosystem, helping people get started, go deep, and feel connected. WHAT YOU'LL DO - Make content Publish compelling technical content, especially video, to help developers learn Supabase quickly - Build demos and tutorials Ship real-world apps using Supabase and tools like Next.js, React, and Stripe. Write guides that others can follow and remix - Represent Supabase Speak at meetups, livestream builds, and engage with the developer ecosystem. You’ll be a visible and trusted voice of the platform - Support and grow the community Celebrate contributors, answer questions, highlight cool projects, and bring developer feedback to the team - Collaborate across the company Work with engineering, product, and growth to amplify launches, prioritize content, and reduce friction for new users YOU MIGHT BE A FIT IF: - You’ve built full-stack apps and enjoy sharing your knowledge - You create content that makes people want to open their code editor - You’re equally comfortable writing a video script and TypeScript - You’re energized by community whether it’s on Discord, Twitter, YouTube, or in person - You’re self-directed, organized, and excited to contribute to open source REQUIREMENTS This role is based in San Francisco to support regular in-person devrel video shoots, attend local events, and be an active presence in the SF tech ecosystem. - Strong engineering skills, especially with JavaScript or TypeScript, Postgres, and modern frontend frameworks (React, Svelte, Vue, etc.) - Experience creating technical content (written or video) - Comfortable representing a product publicly (on camera, on stage, or online) BONUS POINTS IF YOU HAVE: - A growing audience on YouTube, Twitch, or Twitter - Prior experience in DevRel or open source - Have used (and loved) Supabase 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: New York City, NY; 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: As manager of the Financial Services Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. We work with customers that include companies across banking, insurance, asset management, and payment providers. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude Code, Cowork, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. Set goals for your team that establish baseline expectations for performance in collaboration with sales and other cross-functional teams. Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or top use case scoping and deployment. Partner closely with sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI trends and the evolving ecosystem. You may be a good fit if you : 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. 3+ years of technical pre-sales management experience. Have sold complex technical products to Financial Services companies. Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts. Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have : Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. Deep FSI GTM Experience : Demonstrated success adapting technical approaches to customers in banking, insurance, payment providers, or asset management. 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: $315,000 — $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.