Вакансии

Location: Lithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Belgium; Andorra; Slovenia; Malta; Italy; Montenegro; France; Latvia; Albania; Czech Republic; Greece; Slovakia; Kosovo; Yerevan; Bulgaria; Moldova; Georgia; Bosnia and Herzegovina; Poland; Czechia; Croatia Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/b540b9e2-0673-4d2d-91fd-e293658f4f6a/d3e64011-c6d4-4b26-a690-9a8685951ed7/job%20ad%20visual.png] At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them. If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us.   WHY JOIN FOXELLI? We are a fast-moving e-commerce company that builds our own proprietary AI infrastructure. We develop internal AI-driven systems to automate complex creative and analytical workflows, which we later scale into B2B SaaS products. We are not looking for a traditional developer. We are looking for an AI-Native Builder who can turn an idea into a functional prototype in days using the latest AI-assisted development tools.   THE ROLE As a Founding AI Engineer, you will work directly with the founder to design, build, and iterate on various AI systems. The projects will vary - from computer vision and image manipulation to automated video generation and agentic data analysis. You will be responsible for the full pipeline: from R&D of the best AI models to deploying scalable web applications. Who You Are: - Modern Developer: You have abandoned "manual-only" coding. You are a power user of tools like GPT Codex, Claude code, and Replit, allowing you to build at a 10x pace. - AI Generalist: You are comfortable working across different AI domains - LLMs (Text/Reasoning), Diffusion (Image/Video), and Vision models. - Agile & Adaptive: You thrive in an environment where projects evolve. You are a fast learner who can master a new AI framework or API over a weekend. - Hacker Mindset: You focus on ROI. You build lean MVPs, test them in our real-world e-commerce operations, and only then polish them for scale. - Architecture-Aware: You know how to orchestrate multiple AI models into a single "Agentic" workflow that handles complex tasks autonomously. Technical Interests: - Stack: Next.js / Python (FastAPI). - AI Frameworks: ComfyUI / Diffusers, IP-Adapters, ControlNet, and Agentic frameworks (LangChain/CrewAI). - Infrastructure: Experience with Serverless GPU providers (Replicate, Fal, RunPod). - Integrations: Skilled at connecting diverse APIs to create seamless automated systems. Why Join Us: - Direct Impact: Build tools that are immediately put to use in real-world business scenarios. - Extreme Speed: No corporate red tape. If the tech works, we ship it. - Evolution: This is a founding role with the opportunity to lead multiple product lines as we transition from internal tools to SaaS.   THE RECRUITMENT PROCESS 1. Apply - A simple form that helps us know who’s stepping into our world. 2. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space 3. Interview - A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together   FIXED SERVICE FEE €2000- €3000 after taxes (depending on your skills, competencies, and experience). PERKS & BENEFITS - Full flexibility with your schedule in a fully remote setting, while Apploye ensures transparency and fairness. - Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check. - A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously. - Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested. - A budget for your home office setup so you’re comfortable working how you like and where you like. - Strong company culture and a network of unique individuals that celebrate you.   ELIGIBILITY & LOCATION REQUIREMENTS ❕This role is 100% remote. - Our tribe works primarily in the Eastern European Time Zone (EET - UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported. - For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours - it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.)   Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.

Задачи: — разрабатывать новую бизнес-логику, бизнес-процессы и модули системы Directum HR Pro; — вместе с командой писать много кода и автотестов; — проводить code review; — участвовать в проектировании новых функций с использованием User Story Mapping, Customer Journey Mapping, Domain-Driven Design; — анализировать и воспроизводить дефекты с их исправлением. Требования: — умение декомпозировать крупные задачи на мелкие, оценивать трудоемкость и прогнозировать сроки; — умение работать с неопределенностью, выявлять неочевидные требования и помогать формулировать критерии приёмки; — развитое системное мышление, понимание User Story Mapping, Customer Journey Mapping, Domain-Driven Design; — стремление к балансу между производительностью и стоимостью, сложностью и гибкостью; — умение обеспечивать масштабируемость, стабильность и безопасность системы; — опыт менторинга менее опытных коллег; — опыт коммерческой разработки на C# .Net от 5 лет; — опыт поиска, профилирования и оптимизации узких мест приложений; — опыт проектирования, разработки и документирования публичного API; — опыт работы с автоматизированным тестированием (Unit/Integration/E2E/UI, TDD, BDD); — опыт работы с базами данных, PostgreSQL будет плюсом. Условия: — работа в стабильной федеральной компании Directum, лидере рынка; — решение сложных востребованных задач без готовых решений или аналогов; — практика TDD, рефакторинга, техдолга, code review, анализа производительности; — профессиональное развитие: митапы, выступления на ИТ-конференциях, мозговые штурмы, инженерные дни, внутреннее обучение; — достойная оплата, обсуждается индивидуально, регулярные пересмотры; — официальное трудоустройство; — возможность удалённой работы или в офисах Directum в Ижевске, Уфе, Тюмени; — ДМС, обучение и другие корпоративные плюшки.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Claude Code is changing how engineering organizations build software, and most of them need someone to show them how. That's you. Technical Architects help customers get real work done with Claude Code, Claude Tag (Claude Code as an agent in Slack), and the enterprise admin controls that decide whether a rollout succeeds. You'll teach customers, partners and Anthropic's own field teams. Just as important, you'll train the trainers who carry that knowledge to everyone else. We're hands-on AI engineers who would rather teach than sell. You'll work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. Most weeks you're in front of an audience with Claude Desktop or a terminal open: thousands of engineers on a public webinar one day, a customer's platform team in their own conference room the next week, office hours in between. The prep material often reaches you the day before. The team is growing quickly this year, scope will grow as new products ship, and the people who join now will shape how it works. Responsibilities Teach in every format. Take a standing rotation on Anthropic's public webinars in front of thousands of engineers at a time. Lead workshops and multi-day onsites, in person and virtual, built around a customer's own codebase and questions. Host office hours and multi-week cohorts where engineers, partners, and account teams bring live problems. Teach the teachers. Run train-the-trainer programs for customer technologists and champions, and certify them to deliver Anthropic's material. Empower admins. Educate enterprise admins on the technical requirements for a strong rollout by guiding them through single sign-on, permissions, connectors, spend controls, data-handling policy, and other advanced topics. Build fast with Claude. Turn a request into a polished deck, demo repository or plugin within a day, using the tools you teach. Explore new features the day they ship. Pick up a teammate's material and deliver it as if you wrote it. Bring field signal back to product. Tell the Claude Code, Claude Tag and Cowork teams what customers run into, specifically enough that they can fix it. Be the technical voice in the room. Partner with account executives, customer success managers, Applied AI Architects, support engineers and partner leads. Travel. Expect 30 to 50%, in bursts around onsites, workshops and events. You may be a good fit if you have 5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences. Current engineering range. You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it. Big-stage presence. You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you. Range in one conversation. You can go from banter to a rigorous design discussion, and both feel natural. Care for people. You do right by a struggling customer, and you won't leave a confused room behind. Initiative. You build things without waiting for permission, and you say when an idea is half-formed, including your manager's. Steadiness when priorities shift, timelines are short and colleagues are under pressure. Comfort with ambiguity in a fast-moving industry and product suite. A stake in safe AI. You care that large organizations deploy AI responsibly, and you want to help them do it. You love being on the frontier. You want to work at the edge of what’s possible and help define what comes next. Strong candidates may also have Depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA). Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI. Time with regulated industries or with systems-integrator partners. A public record of technical teaching: talks, courses, videos or writing. An interest outside technology you can talk about with the same energy. 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: $250,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up. Responsibilities: Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch Establish metrics and tooling to measure and improve search quality Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency You may be a good fit if you: 5+ years building complex distributed systems in production Solid grasp of search fundamentals: indexing, retrieval, ranking Strong coding skills in Python, Go, Java, or similar languages Hands-on experience with high-volume data processing architectures The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer - Cloud Streaming Game Services (Contractor) Aliso Viejo, CA As a part of Sony Interactive Entertainment, the Game Development & Future Technology (GDFT) organization is leading the cloud gaming and development revolution, putting console-quality video games on any device! As a Senior Software Engineer on the Cloud Streaming Game Services (CSGS) team, you’ll play a key role in the design and development of server-side applications on a large geographically distributed infrastructure. Responsibilities Design, develop, and maintain software powering the globally distributed PlayStation Cloud Streaming infrastructure Build Kubernetes controllers, operators, and system services powering infrastructure lifecycle management and orchestration Own features from design through implementation, testing, deployment, and production support Develop high-quality, maintainable code with comprehensive unit and integration testing Partner with SRE, Test and Platform Engineering to deliver reliable production services Investigate and resolve production issues with a focus on reliability and performance Contribute to architecture discussions, technical design documents, and engineering standards Effectively communicate technical approaches, project status, risks, estimates, and dependencies Leverage modern AI-assisted development tools (e.g. Codex, Claude, etc) to accelerate design, implementation, documentation, and debugging while maintaining engineering quality through sound technical judgment and code review Continuously evaluate emerging technologies and automation opportunities that improve engineering velocity, reliability, and operational efficiency Requirements BS in Computer Science, Computer Engineering, or equivalent practical experience 7+ years of professional software development experience Experience designing, implementing, and operating production software systems Demonstrated ability to troubleshoot complex technical problems spanning software and infrastructure Passion for building reliable, maintainable, and highly automated systems Skills & Knowledge Strong experience developing production software in Rust Experience building applications or controllers on Kubernetes Experience developing software on Linux Proficiency with Git and modern software development workflows Familiarity with container technologies including Docker and Kubernetes Experience debugging complex distributed applications Experience writing automated unit and integration tests Excellent written and verbal communication skills Knowledge of observability platforms including Prometheus, Grafana, OTel, or OpenSearch Experience working with modern AI-assisted software development tools to improve productivity while applying critical engineering review and validation Understanding of distributed systems concepts including concurrency, asynchronous programming, event-driven architectures, fault tolerance and consistency models Additional Attributes Familiarity with Java or C++ Familiar with Agile development concepts Comfortable working across software, infrastructure, networking, and hardware domains Experience with infrastructure automation using tools such as Ansible, AWX, or GitOps workflows Ability to thrive in an environment with evolving requirements and technical challenges Strong communication and documentation skills Contribution to the open-source community (ie. blogs, source code, etc) Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Applied Scientist, you’ll be embedded in the Applied Science team. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do Ship production algorithmic systems end-to-end, from problem framing to launch to iteration Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are two problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. What we're looking for A Bachelor's or Master's degree (in progress) in Computer Science, Mathematics, Statistics, Economics, or a related STEM field, with an expected graduation date of Fall 2026 or Spring 2027. A bias toward action, quickly translating ideas into working prototypes to test approaches. Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them. A solid command of the methods your work calls for and the data your models depend on. Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem. Strong communication skills, with the ability to present your work clearly to senior stakeholders. A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics. What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The target base comp range for this role is $150,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an Applied AI Engineer, your mission is to make Mistral AI-native from the inside. You lead the design and delivery of production-grade AI systems in rapid cycles, building the iconic use case for multiple department (eg: GTM, HR, Engineering, Finance, ect) in your portfolio. You sit where product, engineering and the business overlap, turning advanced technology into real-world solutions that move a metric. You translate complex, often ambiguous business requirements into engineered solutions that work at scale. You act as the technical lead for your departments and contribute as an Individual contributor you guide the technical choices, build the solution end to end, drive adoption, and keep improving it. Your goal is to build clients trust, and deliver high ROI solutions, not a hit-and-run POC. WHAT YOU WILL DO - Run discovery with department heads and key users, map their workflows, and turn ambiguous needs into a prioritized use-case backlog with clear expected value. - Deliver end to end: design and ship production-grade full-stack apps (Python/FastAPI, React) and AI systems, from scoping through deployment and adoption. - Encode business rules, KPIs and ROI metrics as durable datalake assets and app logic, so your departments run on trustworthy, observable data. - Dogfood the latest Mistral products as a first internal user, and turn what you learn into credible product feedback that shapes the roadmap. - Own architecture for your surface: keep it scalable, secure and observable, with a high bar on clean code. - Spot patterns across departments and lift one-off solutions into reusable building blocks. WHAT WE'RE LOOKING FOR - At least 3 years building and deploying production AI software. - Strong full-stack engineer: Python/TypeScript, scalable backends (FastAPI/Node), and enough frontend (React/Vue) to ship a usable app yourself. - Hands-on with modern GenAI use cases: RAG, agents, workflows, orchestration and evaluation. - Strong command of vibe-coding tools, paired with genuine care for clean code and architecture: speed without slop. - Strong ownership and a bias for delivery. This is made for high-velocity engineers who already have experience. - Fluent in AI-native tools (Slack, Linear, etc.). - Passionate about solving customer problems. Here, your customers are Mistral's own teams. - Excellent communication in fluent English: you can explain a technical idea to a lawyer, a marketer and a staff engineer in the same afternoon. NICE TO HAVE - Exposure to Legal, Public Affairs, Marketing or Compute/Infra domains, or a track record of getting fluent in an unfamiliar domain fast. - Data engineering or analytics experience (warehouse modeling, dbt, dashboards). - Contributions to open-source projects, especially around LLMs. - A builder's instinct for internal tooling and platform reuse. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Step into the center of enterprise innovation as you shape the future of how global teams plan, coordinate, and deliver high-impact training! In this role, you’ll tackle complex, ambiguous operational challenges at the intersection of Instructor-Led Training (ILT) and Training Management Systems (TMS) to make training operations seamless for millions. You will have total ownership over end-to-end user journeys, connecting scheduling, approvals, resource tracking, and AI-driven workflows into one beautifully cohesive product experience. If you are eager to turn dense, administrative friction into elegant, high-impact enterprise software, your next big career adventure starts right here! 🛠️ THE DAY-TO-DAY - Frame the Unframable: Turn complex, ambiguous inputs into razor-sharp problem statements, clear workflow maps, and testable design hypotheses. - Connect Ecosystem Workflows: Craft seamless end-to-end interactions across training requests, resource allocations, manager approvals, instructor scheduling, and real-time operations. - Design Complete States: Bring high-caliber interaction design and visual craft to complex planning interfaces, capacity checks, conflict alerts, and recovery paths. - Incorporate Smart AI Assistance: Design trustworthy, intelligent scheduling assistance, conflict detection, and operational summaries that put humans in control. - Prototype and Iterate: Test realistic workflow states and platform behavior quickly using Figma, AI-assisted tools, or light code to de-risk technical feasibility early. - Champion System Alignment: Partner closely with Product, Engineering, and Design System teams to extend reusable primitives, preserve API boundaries, and maintain accessibility. ⚡ YOUR SUPERPOWERS - End-to-End Ownership: Proven track record leading complex, multi-stakeholder product workflows in B2B SaaS, enterprise administration, scheduling, or operations platforms. - Visual & Interaction Mastery: Exceptional capability in organizing dense information into clear hierarchies, responsive states, and polished visual designs. - Systems & Platform Thinking: Ability to design within mature systems, navigate API constraints, and contribute back reusable workflow patterns to our design system. - Evidence-Driven Approach: Deep proficiency in pairing qualitative research and product analytics with technical trade-offs to inform your design decisions. - AI-Assisted Innovation: Skillful use of AI tools for prototyping, research synthesis, design QA, and exploring smart automation user experiences. - Collaborative Influence: Strong communication and facilitation skills to align Product, Engineering, and leadership around clear, impactful product paths. 🎁 BONUS POINTS - Domain Experience: Background in enterprise resource planning, scheduling systems, workforce management, LMS, or HR technology. - Technical Curiosity: Hands-on prototyping experience with data-heavy solver tools, script-assisted workflows, or code-based experiments. 📋 OUR INTERVIEW PROCESS Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. Step 2: A 45–60-minute conversation with the hiring manager focused on your experience, approach, and what excites you most about this opportunity. Step 3: A 60-minute portfolio deep dive and collaborative case discussion focused on complex operational workflows, platform constraints, interaction and visual decisions, evidence, and measurable learning or impact. Step 4: A final conversation focused on product-area influence, mentorship, values alignment, and cross-functional decision making OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: New York, New York, United States Artificial Intelligence Engineer - Vice President Department: Software Engineering About the Role iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. The ideal candidate is a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This role is expected to bring independent judgment on a technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. Responsibilities Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform. Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $170,000 to $210,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Head of Strategic Startups at Anthropic, you will own the strategy, organization, and commercial outcomes for Anthropic's relationships with the world's most important AI-native startups. This is the segment where the next generation of category-defining companies is being built on Claude, and where Anthropic's commercial, product, and partnership decisions compound fastest. You will lead a team of Account Executives who own Anthropic's most strategic AI-native accounts, and be accountable for a revenue line spanning expansion, retention, and net-new strategic wins. Beyond running the business, you will define what "strategic" means for Anthropic in the startup ecosystem: which companies we bet on, how we structure partnerships with them, how we engage investors and accelerators, and how the signal from this segment shapes our product roadmap and go-to-market model. You will be a member of the GTM leadership team and a visible voice for Anthropic in the startup and venture community, helping ensure that the companies defining the future of AI choose to build it safely, and with us. Responsibilities: Set the multi-year strategy for Anthropic's Strategic Startups business, including segmentation, coverage model, partnership structures, and investment priorities, and secure executive alignment on it Build, lead, and scale a high-performing team of Account Executives, including hiring, coaching, and developing sellers and establishing a strong operating cadence across the team Own the segment's revenue plan and P&L-level outcomes, including forecasting, capacity planning, quota design, and resource allocation, with direct accountability to GTM and company leadership Personally lead Anthropic's relationships with a portfolio of the highest-leverage AI-native startups, engaging founders, CEOs, and CTOs on multi-year commercial, technical, and partnership agreements Design and negotiate novel commercial and partnership structures (credits programs, strategic pricing, co-development, joint go-to-market) that create durable, mutually beneficial relationships with breakout companies Serve as the executive voice of the startup segment inside Anthropic, bringing structured customer and market insight to Product, Engineering, Pricing, and Finance and influencing roadmap and packaging decisions accordingly Partner with Enterprise Sales, Solutions, Partnerships, and Customer Success leadership to define handoffs, shared accounts, and escalation paths as startups scale into enterprise customers Establish the systems of record for the segment: account planning, customer health, executive business reviews, deal governance, and the metrics leadership uses to run the business Represent Anthropic externally with founders, investors, and at industry events, articulating our approach to safe, frontier AI and why it matters for companies building on it Lean in to support building Anthropic's presence across the startup ecosystem. You may be a good fit if you: Have 15+ years of experience in enterprise or technical software sales, with 7+ years leading sales teams Have been a founder or have worked previously as a Business Development leader securing large contracts. Have owned a significant revenue line with full accountability for plan, forecast, and results, and have a track record of consistently outperforming it Have built or materially scaled a sales or account management organization, including designing coverage models, compensation plans, and operating rhythms Bring deep, first-hand familiarity with the startup ecosystem, including relationships with founders, venture investors, and accelerators, and an instinct for identifying which early-stage companies will become the ones that matter Have sold or led sales of technical, consumption-based, or platform products (APIs, infrastructure, developer tools, ML/AI), and are credible in conversations with technical founders and CTOs Have structured and closed complex, non-standard commercial and partnership agreements at the executive level Are a strong cross-functional leader who has influenced product, pricing, and go-to-market decisions well beyond your own organization Are analytically rigorous and comfortable making decisions with imperfect data in a rapidly evolving market Are motivated by Anthropic's mission and care about how frontier AI is deployed, not just how fast it grows Strong candidates may also: Have led a startups or emerging-companies segment at a cloud, infrastructure, or AI platform company through a period of hypergrowth Have founder, operator, or venture experience, and understand the pressures and decision-making of a high-growth startup from the inside Have built ecosystem programs (startup credits, accelerator partnerships, investor programs) that meaningfully drove adoption of a developer platform Have hired and developed leaders who went on to run their own organizations Have experience leading through a market where the product and competitive landscape shifts quarterly 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: $550,000 — $750,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Munich Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE The Field CTO role is one of Mistral's senior external technical voices; a role for someone who has earned genuine credibility in the AI field and can engage enterprise boards, CIOs, and CTOs as a peer. You will shape how strategic accounts think about their AI strategy, represent Mistral at major industry events, and publish thought leadership that reflects a real point of view on where AI is going. You will work closely with regional sales leadership across your territory and bring what you learn from executive conversations back into Mistral's product direction. This is an externally-facing, influence-driven role. The output is measured in relationships built, content published, and executive conversations that move. WHAT YOU WILL DO Executive engagement Run Mistral's Executive Briefing Center with your regional VP; a selective program for C-level stakeholders at strategic accounts. Build and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, and VP Engineering across your territory. Thought leadership Publish regularly: articles, whitepapers, and analysis of where enterprise AI is heading. Brief Gartner and Forrester on Mistral's roadmap and market position. Track frontier research and bring it into customer conversations. Conference and event presence Represent Mistral at major industry events through keynotes, panels, and roundtables. Build a public presence that generates inbound interest from enterprise executives and the wider AI community. Market feedback Bring what you hear in executive conversations back into product direction. Patterns across accounts on governance requirements and deployment constraints should reach the people building the models. WHAT WE'RE LOOKING FOR - Demonstrable credibility in the AI field. A public track record in AI: published papers, articles, or talks that reflect a clear, defensible position. Your work should read as credible next to Mistral's technical brand. - A stated position on open-weight models and what they change for the enterprises adopting them. Your existing public positions should sit comfortable next to Mistral's. - You are fluent in European data sovereignty and on-premise deployment, at the level that holds up with a CTO or VP Engineering asking hard questions. - You are comfortable engaging C-level stakeholders across multiple verticals on technical architecture and business strategy, in the same conversation. - Cross-vertical fluency, you can credibly engage across financial services, manufacturing, defense, and energy without being a domain specialist in any one of them. - 10–25 years of experience in enterprise technology. You have held roles such as: Field CTO, Principal Architect, or VP Engineering at a major cloud or AI company, or a founder who built technical credibility and executive relationships through their own company. - Comfortable with 30-50% travel depending on your region. NICE TO HAVE - Existing network of CTO and CIO relationships at enterprise accounts in your region - Prior Field CTO or equivalent externally facing technical role at a major cloud or AI company - Fluent in multiple languages spoken across your region WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are looking for a Principal Engineer to help build GitLab Duo Agent Platform, the agentic orchestration layer that runs AI agents and flows across the entire software lifecycle. Principal Engineers at GitLab are recognized experts across multiple technology domains and represent the senior technical leadership within their organization. In this role you will set technical direction for a significant part of the Agent Platform, working across several teams to turn agentic capabilities into something engineering organizations can actually depend on: predictable, observable, governable, and fast enough to sit in the critical path of real development work. The Agent Platform is not a single service. It spans agent execution and orchestration, flow definition and event-driven triggering, the AI Catalog through which customers discover and manage agents, model routing and evaluation, and the governance surface that decides which agents may act where and under whose identity. It runs on GitLab.com, GitLab Dedicated, and Self-Managed installations, including deployments that use self-hosted models to meet compliance requirements. You will work on the parts of that system where the hard architectural questions live, and you will do it hands-on. This role reports into the VP of the AI Engineering organization and works closely with Engineering Managers, Staff Engineers, Product Management, Infrastructure and Security. What you'll do Define the technical direction for a significant area of Duo Agent Platform across several teams, and partner with Engineering Managers and Product to turn it into a roadmap with a six-month horizon. Build the orchestration layer that makes agents and flows reliable: session lifecycle, tool invocation, context assembly, concurrency, retries, timeouts, and failure modes that degrade gracefully instead of stalling a developer's workflow. Hands on work on driving topics throughout the whole organisation from POC level, architecture to full implementation. Participate in Incident Management on-call rotation, to help meet availability goals for GitLab.com. Strong product builder and ownership mentality. Understanding of product strategy, technical strategy, delivering customer value and iteration towards a successful product Write clear, opinionated design documents, architecture narratives, and decision records that let other teams make aligned decisions. Ensure the architecture holds across multi-tenant GitLab.com, Dedicated, and Self-Managed deployments, including self-hosted model configurations, and respects data governance boundaries in each. Use the platform on our own work, find where it falls short of what we claim, and feed that back through improvements into the product. Mentor Staff and Senior Engineers, and raise the bar for experimentation rigor and cross-team collaboration. Work across the whole platform on different projects, features and teams. This reaches across: Design the extensibility surface so customers can build custom agents and flows, connect their own tools and internal systems, and bring external agents such as Claude Code and Codex into GitLab workflows without weakening the platform's guarantees. Drive down the cost and latency of agentic requests, and work with Product on how model selection, routing, and credit consumption behave as usage grows. Define the evaluation practice for the platform: offline benchmarks and online experiments that measure task completion, correctness, tool-call accuracy, latency, and cost per task, and that catch regressions before customers do. Build the governance and safety surface with Security and Compliance: policy-driven controls over which agents and models may run where, permission and identity semantics that align to existing roles and group structure, human-in-the-loop checkpoints, traceability of every flow session, and audit that stands up to enterprise review. Complete Interview Training and participate in hiring for the department as a technical interviewer or panel member. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring 8+ years of software engineering experience, including 3+ years at Staff, Principal level or equivalent senior technical leadership. Hands-on production experience building on large language models: agent loops, tool calling, context management, retrieval, prompt and model evaluation. Experience shipping this to real users, not only prototyping it. Strong background in distributed systems, including service decomposition, fault tolerance, observability, and operational resilience under multi-tenant load. A track record of defining evaluation frameworks and using benchmark and experiment results to make architecture decisions, rather than shipping on intuition. Experience designing human-in-the-loop controls, safety guardrails, and responsible AI practices for systems that act on a customer's behalf. Ability to drive alignment across Engineering, Product, Infrastructure, and Security on problems that start out ambiguous. Experience mentoring senior engineers and shaping technical direction across multiple teams without direct authority. Comfort working in one or more of Ruby, Go, Python, or TypeScript, and willingness to work across the stack the platform spans. Excellent written and asynchronous communication, and the ability to work effectively in a fully remote, globally distributed organization. About the team The AI engineering organisation is building the product and infrastructure that make GitLab an effective environment for running agents across the software development lifecycle. We’re distributed across the world and partner with teams throughout GitLab to help the GitLab Duo Agent Platform become the backbone of GitLab's AI features. You will report directly to the VP of Engineering for AI and especially work together with all the teams, the engineering management and other principal engineers in the AI department. This is an opportunity to lead a consequential group as AI changes how software is built. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $250,000 — $325,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Deployment Manager on the Beneficial Deployments team, you will guide customers from a signed contract into a live, governed, and adopted deployment so that customers achieve tangible impact rather than simply incremental improvement with Claude. You'll guide organizations from contract signature to production deployment across Claude for Enterprise, Claude Code, and our API products, fundamentally changing how they work and deliver on their missions. You'll be the technical hands that switch Claude on. Before any organization can drive adoption, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. You turn "we've signed the contract" into "our employees can log in, with the right access, under the right policies, the way our security team expects." This is a high-leverage role where you'll pioneer scalable activation methodologies that enable hundreds of nonprofit customers to unlock transformative use cases and realize measurable outcomes at unprecedented speed. You won't just follow playbooks. You'll design the frameworks and repeatable processes that can be deployed consistently across diverse customer environments, and you'll shape them into programs that reach customers we could never serve one at a time. You'll operate at the intersection of technical deployment, enablement, and program design. Some days you'll be in the weeds with a customer's IT team debugging a SAML assertion; other days you'll be stepping back to ask how the last ten deployments should change the next hundred. Your systems-thinking approach will directly shape how we activate customers, and your strategic management will ensure every customer achieves meaningful outcomes within their first 90 days. By identifying patterns across activations, you'll build replicable approaches to organizational change while maintaining the agility to customize solutions for each customer's unique transformation journey. Responsibilities: Own the complete activation journey from contract signature to production deployment, orchestrating cross-functional resources and customer teams to ensure rapid time-to-value across Claude for Enterprise, Claude Code, and API products. Deploy Claude inside customer environments. Configure and troubleshoot SSO (SAML), SCIM and JIT provisioning, MCP connectors, admin policy templates, and seat-assignment logic across Okta, Entra ID, Ping, and Google Workspace. Deliver informative transitions to Support for deeper issues that require investigation or engineering support. Act as a trusted advisor to customer CISOs and CTOs on governance and enterprise setup. Bring a clear point of view on best practices, help security and IT leadership make the design decisions that determine whether a deployment holds up over time Light up the capabilities that make Claude valuable. Enable and govern MCP connectors to the customer's systems, ensure Skills, Projects, and other capabilities are turned on and configured for their use cases, and work with their IT team on the approvals and OAuth consent this requires, so that day one feels ready Design and scale activation frameworks by identifying patterns across deployments and building templated playbooks that balance standardization with customization for breakthrough outcomes. Turn playbooks into programs. Package what works into repeatable, increasingly self-serve motions (deployment checklists, admin enablement sessions, onboarding cohorts, Claude-powered guidance) so that activation quality no longer depends on you being in the room. Drive organizational transformation by developing change management strategies, rollout plans, and Train-the-Trainer programs that build internal AI champions and catalyze adoption across customer organizations. Define and track success metrics across activation rate, time-to-value, customer satisfaction, and operational efficiency, using data to continuously optimize the motion. Channel customer insights back to Product, Support, and Security teams, serving as voice of the customer so that repeat deployment blockers get solved once. You may be a good fit if you have: 5+ years in customer-facing technical roles such as implementation management, technical account management, technical onboarding, solutions consulting, or customer success, with a track record of running multiple concurrent enterprise deployments with documented handoffs. Experience serving nonprofits or mission-driven organizations. You've worked with (or inside) them and you understand how they differ from commercial enterprises. Hands-on, sustained ownership of enterprise identity integration work. SAML, OIDC, SCIM v2, and JIT provisioning across at least two major identity providers (Okta, Entra ID, Ping, Google Workspace). You can debug a broken SAML assertion or a misconfigured SCIM attribute map without escalating, and you know when a Support handoff is the right call. Experience advising CISOs, CTOs, or IT leadership on enterprise governance and setup for a SaaS or AI platform, with an informed point of view on org topology, access models, RBAC, and OAuth. Working knowledge of security and compliance frameworks (SOC 2, ISO 27001, HIPAA, GDPR) sufficient to anticipate what a customer's security review will ask, and to know when to bring in our AI Security Specialist. You've designed, shipped, and measured programs that serve many customers at once: onboarding cohorts, enablement series, admin academies, lifecycle or engagement motions. You naturally ask "how might we scale this?", turn 1:1 moments into 1:many programs, and instrument what you build so you know what's working. Hands-on fluency with AI in your own workflow. You've prototyped, generated content, analyzed accounts, or replaced internal processes with LLMs, and you can talk concretely about what worked, what didn't, and what's next. You don't wait for AI tooling to arrive; you build it. Organizational change and enablement experience including developing rollout strategies, navigating stakeholder resistance, building internal champions, and designing programs that drive adoption at scale. Comfort building in ambiguity. This is a new role on the team, and what you build becomes the template. You'll thrive creating structure where none exists, adapting quickly as the business evolves, and learning continuously. Data-driven and metrics-oriented. Experience setting and tracking success metrics from day one, using data to optimize approaches, and demonstrating impact to diverse stakeholders. Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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: $200,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - US East About the Job: As a Senior Enterprise Account Executive, you will play a pivotal role in nurturing and expanding relationships with large enterprise accounts within your designated territory. You should possess exceptional business acumen, a customer-centric approach, and the self-motivation to thrive with minimal supervision. Moreover, you must be adaptable and proficient in wearing multiple hats as you take on this crucial responsibility. We have full confidence in your ability to make the right decisions and drive results autonomously. LaunchDarkly is a rapidly evolving software company with a strong mission and vision, powered by a diverse and talented team. Our mission is to accelerate software development by empowering teams. Joining our dynamic and fast-growing team, you will make an immediate impact on our product and customer success. Responsibilities: Ownership of Large Enterprise Accounts: You will be the primary point of contact and relationship owner for large enterprise accounts within your territory. Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives. Ensure Successful Adoption: Ensure the seamless adoption of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction. Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives within these large enterprises. Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers. Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively. About You: Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. Excellent Communication: Your written and spoken communication skills are outstanding. Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy. Adaptability: You excel in a fast-paced and dynamic organizational setting. Qualifications: 7+ years of Enterprise (closing) Sales Experience Experience selling DevOps products or a strong technical understanding of developer workflows and pain points, with the ability to communicate how solutions address these challenges. You have a demonstrable track record of consistently meeting or exceeding quota expectations. You possess the expertise to navigate consultative sales cycles with Executive-level stakeholders at Fortune 500 companies. You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively expanding business within large enterprise accounts. Recent experience working for an emerging technology software company is a significant plus. Familiarity with and experience using the MEDDPIC sales methodology is advantageous. Travel: expected range of 25% to 50% as needed Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,400 - $370,480 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500 - $333,410 ** Zone 3: All other US locations - $229,000 - $314,930* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote - US Central About the Job: As a Senior Enterprise Account Executive, you will play a pivotal role in nurturing and expanding relationships with large enterprise accounts within your designated territory. You should possess exceptional business acumen, a customer-centric approach, and the self-motivation to thrive with minimal supervision. Moreover, you must be adaptable and proficient in wearing multiple hats as you take on this crucial responsibility. We have full confidence in your ability to make the right decisions and drive results autonomously. LaunchDarkly is a rapidly evolving software company with a strong mission and vision, powered by a diverse and talented team. Our mission is to accelerate software development by empowering teams. Joining our dynamic and fast-growing team, you will make an immediate impact on our product and customer success. Responsibilities: Ownership of Large Enterprise Accounts: You will be the primary point of contact and relationship owner for large enterprise accounts within your territory. Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives. Ensure Successful Adoption: Ensure the seamless adoption of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction. Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives within these large enterprises. Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers. Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively. About You: Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. Excellent Communication: Your written and spoken communication skills are outstanding. Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy. Adaptability: You excel in a fast-paced and dynamic organizational setting. Qualifications: 7+ years of Enterprise (closing) Sales Experience Experience selling DevOps products or a strong technical understanding of developer workflows and pain points, with the ability to communicate how solutions address these challenges. You have a demonstrable track record of consistently meeting or exceeding quota expectations. You possess the expertise to navigate consultative sales cycles with Executive-level stakeholders at Fortune 500 companies. You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively expanding business within large enterprise accounts. Recent experience working for an emerging technology software company is a significant plus. Familiarity with and experience using the MEDDPIC sales methodology is advantageous. Travel: expected range of 25% to 50% as needed Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,400 - $370,480 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500 - $333,410 ** Zone 3: All other US locations - $229,000 - $314,930* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: United Kingdom (Hybrid); United Kingdom (Remote); Spain; Netherlands Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~45 ML engineers ✨ They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users' money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all. ABOUT THE ROLE ✍️ We're hiring an ML Engineering Manager to join the existing data science function at Cleo - a collaborative team of ML engineers, analysts, and data engineers - to build and deploy production models that go directly into the product. You'll lead the ML workstream behind our Financial Assistant feature, shaping how Cleo uses LLMs to have more engaging, accurate, and personalised conversations about money. This is a people management role: you'll manage the ML engineers across your squads, own the headcount plan, and be responsible for hiring and team development in your area. - Understand the core problems faced by the Financial Assistant team and coordinate the ML function's contribution to solving them - Find opportunities for model and product improvements in Cleo's extensive customer behaviour datasets - Manage the ML engineers in your squads - coaching and developing them to deliver on the roadmap - Build out the headcount plan and own hiring and team development within your area to support growth WHAT WE'RE LOOKING FOR 🕵️ - Extensive experience building and deploying machine learning models to production - Experience managing and developing high-performing teams of data scientists and ML engineers - A habit of keeping abreast of the latest research and experimenting productively with new technologies, including LLMs and LLM agent design - Experience owning an ML roadmap, driving new ideas through to business impact - Ability to write production-quality Python code, with a willingness to stay somewhat hands-on - Nice to have: domain knowledge of NLP, including evaluating LLM systems and fine-tuning LLMs or other transformer models - Nice to have: a strong ability to communicate findings to non-technical stakeholders concisely and engagingly - Nice to have: experience with containers and container orchestration - Kubernetes, Docker, and/or Mesos - Nice to have: experience using vector databases such as OpenSearch WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Remote-Friendly (Travel Required) | Canada 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 a Transaction Manager for Canada at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Canadian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. Responsibilities: Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts. Lead the RFP and commercial sourcing process for Canadian data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms -Manage complex digital infrastructure development activities to a construction ready state, through a developer or directly Marry the right projects, capital stacks and developers at the right stages Support the development of the long term data center supply strategy You may be a good fit if you: Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization Expert in the Canadian Leasing Compute space It's a bonus if you: Have experience with data center or hyperscale infrastructure transactions specifically Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Possess familiarity with data center developer ecosystems and market dynamics Have experience in high-growth technology companies managing infrastructure expansion Understand utility coordination, power procurement, or energy considerations in data center transactions Have a background in corporate development, strategic partnerships, or infrastructure investment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Espoo Workplace: OnSite Role highlights: - Location: Espoo, Finland - Department: Global Manufacturing Organization (GMO) - Reports to: Senior Smart Manufacturing Engineer - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO) Why this role matters: As a Smart Manufacturing Engineer, Mechanical, you will play a key role in how ICEYE builds satellites at scale. You will design and own critical mechanical and electromechanical systems from Mechanical Ground Support Equipment (MGSE) to production test jigs that keep our production lines safe, efficient and reliable. Working in a multi‑disciplinary Smart Manufacturing Engineering team, you’ll set standards, work directly with others, and help us anticipate and remove bottlenecks as we continue to scale our operations. 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 - Design, implement and own Mechanical Ground Support Equipment (MGSE) and other mechanical / electromechanical systems used in satellite production and integration. - Develop production test jigs and verification systems (e.g. fixtures, subsystem assembly jigs, custom rigs) in close collaboration with electronics and software engineers. - Take designs from concept through detailed CAD, documentation, manufacturing support and commissioning on the production floor. - Define and improve standards, frameworks and documentation practices for mechanical and mechatronic designs within Smart Manufacturing Engineering. - Proactively identify current and future bottlenecks in production processes and propose data‑driven mitigation plans. - Collaborate closely with Production, AIT Engineering and other Engineering teams to ensure systems are robust, maintainable and aligned with operational needs. - Contribute to roadmaps and prioritization for production systems, helping the team focus on the highest‑impact projects. What we’re looking for Must haves: - 6–8+ years of experience in mechanical or electromechanical engineering, focused on production systems, test equipment, or similar. - Proven track record designing and delivering mechanical / support equipment such as MGSE, lifting systems, dollies or fixtures for large, high‑value hardware. - Hands‑on experience designing and implementing production test jigs or verification systems (e.g. fixtures for electronics testing, flying probe interfaces, custom test rigs). - Solid understanding of how mechanics, electronics and software/controls fit together and comfortable collaborating closely with electronics and software engineers. - Strong CAD skills and experience taking designs from concept through detailed design, manufacturing and on‑site commissioning. - Experience in at least one high‑reliability or complex production domain (e.g. space, aerospace, automotive, robotics, industrial automation). - Demonstrated seniority: leading projects, taking end‑to‑end ownership and mentoring junior engineers. - Willingness and ability to work onsite in Espoo in production and integration environments. Nice to haves - Experience with satellite or spacecraft integration and MGSE. - Experience working across multiple production sites or in a global manufacturing context. - Knowledge of lean manufacturing and/or Six Sigma tools and practices. - Experience introducing or improving design frameworks, templates and documentation standards in an engineering organization. Application Process - TA screen - Hiring manager interview - Technical interview + task - Final onsite interviews WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority—with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.