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Location: Remote Canada; Remote USA Workplace: Remote 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. Remote Exception: Docebo is a hybrid workplace requiring 3 days a week in our offices. However, due to the niche skill set required for this role, we have opened this role to remote candidates as an exception to our standard policy. THE ADVENTURE AHEAD 🚀 As a Senior Customer Success Manager, you are the ultimate architect of the customer journey, turning complex business goals into reality through our AI-powered platform. You won’t just manage accounts; you will be a visionary consultant, using empathy and innovation to transform training into a true superpower for global brands. By mastering the art of the "Raving Fan," you will directly influence the future of learning and ensure our customers don't just succeed—they thrive. THE DAY-TO-DAY 📅 - Champion Retention: Own the lifecycle of your portfolio by proactively reducing churn and driving deep product adoption that leads to long-term loyalty. - Inspire Innovation: Educate and excite customers with industry best practices and creative solutions that turn their business hurdles into success stories. - Act as a Trusted Advisor: Cultivate deep-rooted relationships as a customer advocate, ensuring every touchpoint across their journey is seamless and high-impact. - Master the Tech: Become an elite product expert, confidently explaining technical nuances and delivering high-level presentations that showcase our platform's value. - Engineer Success KPIs: Partner with customers to define, configure, and monitor key performance indicators that prove the tangible value of their investment. - Fuel Growth: Collaborate across Sales and Account Management to identify upsell opportunities, ensuring our customers always have the right tools to scale. - Build Advocacy: Identify and nurture customer champions who are eager to share their success stories through Docebo’s global marketing initiatives. YOUR SUPERPOWERS ⚡ - The Seasoned Pro: You bring 5-9 years of experience in SaaS, specifically managing renewable books of business and driving customer satisfaction. - Technical Fluency: You have a solid grasp of enterprise systems (SSO, CRM, HRIS) and a foundational understanding of HTML, CSS, and Javascript. - L&D Expertise: You possess a deep knowledge of LMS administration, instructional design principles, and the latest trends in the learning and development space. - The Strategic Consultant: You use logic, data analysis, and wisdom to make sound, timely decisions and find innovative solutions for complex problems. - Empathetic Communicator: You excel at building rapport and demonstrate a high degree of empathy while balancing the needs of the customer with business objectives. - Data-Driven Mindset: You have a strong ability to analyze usage metrics and key data points to drive meaningful executive conversations and strategy. - Culture Catalyst: You maintain an upbeat, positive mindset and thrive in a collaborative environment where you share knowledge freely. BONUS POINTS 🌟 - Platform Mastery: Previous experience specifically within HR or LMS technologies and proficiency in Salesforce CRM. - Versatile Experience: A background as a Customer Success Specialist or Business Consultant in a fast-paced tech environment. 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: Tokyo Workplace: hybrid Field Marketing Manager｜Job Description English follows Japanese   ポジション概要 日本市場におけるField Marketing戦略の企画・実行をリードするポジションです。 業界イベント、カンファレンス、セミナー、ウェビナー、ラウンドテーブル、顧客向けイベント、パートナーイベントなど、さまざまなリアル・オンラインのマーケティング施策を通じて、ブランド認知の向上、リード獲得、顧客エンゲージメント、Pipeline創出、Revenue Growthに貢献します。他チームと連携し、ターゲット顧客に適した施策を企画し、実行から効果測定・改善まで一貫して担当します。本ポジションの勤務地は日本・東京です。     ABOUT US（会社概要）   Xsolla（エクソラ）は、ビデオゲーム業界が抱えるさまざまな課題を解決するために設計された、強力なツールとサービスを提供するグローバルなコマース企業です。インディーからAAAタイトルまで、あらゆる規模の開発会社が、資金調達、配信、マーケティング、マネタイズにおいてXsollaと提携しています。「ゲームの未来を信じる」という理念のもと、Xsollaは、ゲーム開発者により多くの機会とリソースを提供し続けることを使命としています。本社は米国カリフォルニア州ロサンゼルスにあり、商取引の記録管理を担う企業（Merchant of Record）として、これまでに1,500社以上のゲーム開発者が、より多くのプレイヤーにリーチし、ビジネスの成長を実現するサポートを行ってきました。Xsollaは、収益化の多様な選択肢と成功への道筋を提供し、開発者が“ゲームを楽しむ”ために必要なすべてを支援しています。詳しくはhttps://www.xsolla.com をご覧ください。      Field Marketing Manager, Japan   Position Overview We are looking for a Field Marketing Manager, Japan to lead the planning and execution of field marketing initiatives that drive brand awareness, customer engagement, lead generation, pipeline creation, and revenue growth in the Japanese market. This role will manage a broad range of field marketing activities, including industry events, conferences, seminars, webinars, roundtables, customer events, and partner programs. The ideal candidate will go beyond simply organizing events. They will understand why an initiative matters, who we need to reach, what business outcome we want to achieve, and how we measure success.　This role is based in Tokyo, Japan     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and have helped over 1500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. RESPONSIBILITIES（職務内容） 1. Field Marketing Strategy 日本市場におけるField Marketing戦略・年間計画の策定 Global / APAC Marketing戦略とJapan Business Strategyとの連携 ターゲット業界、企業、顧客セグメントに基づいたField Marketing施策の企画 Event、Seminar、Webinar、Roundtable、Customer Eventなどのチャネルを組み合わせたIntegrated Campaignの企画 Field Marketing活動のKPI設定と継続的な改善 2. Events & Experiences 業界カンファレンス、展示会、セミナー、Networking Eventなどの企画・運営 Xsolla主催イベントおよび外部イベントへのスポンサーシップの企画・管理 イベントの目的設定、ターゲット設定、コンテンツ企画、集客、当日の運営、Follow-upまでの一貫した管理 イベントパートナー、Agency、Vendorとの調整・管理 Speaker、Customer、Partnerなどのステークホルダーとの調整 イベント後のLead Follow-upおよびSalesとの連携 3. Demand Generation & Pipeline Eventを活用したLead GenerationおよびPipeline Creation Pre-event / During-event / Post-eventのCampaign設計 MQL、SQLなどのBusiness KPIのトラッキング イベント参加者を継続的なCustomer Journeyにつなげる施策の設計 4. Content & Thought Leadership イベントやセミナーのテーマ・コンテンツ企画 Customer、Partner、Industry Expertとのコンテンツ制作 Panel Discussion、Roundtable、Executive Sessionなどの企画 日本のゲーム業界におけるXsollaのThought Leadership強化 Global / Regional Contentの日本市場向けローカライズ、翻訳等 5. Customer & Partner Marketing 既存顧客・パートナー向けイベントの企画 Customer Success Stories、Case Study、Customer Panelなどの企画 Key AccountとのRelationship Buildingを支援するExecutive Eventの企画 Strategic Partners、Industry Organizationsとの共同マーケティング Japan Gaming EcosystemにおけるXsollaのNetworkとVisibilityの向上 6. Budget & Vendor Management Field Marketing / Event Budgetの計画・管理 Event SponsorshipおよびVendor / Agencyの選定・交渉・管理 予算配分の最適化 Global / RegionalのBudget ProcessおよびApproval Processへの対応 1. Field Marketing Strategy Develop and execute the Field Marketing strategy and annual plan for the Japan market. Align Japan Field Marketing activities with Global / APAC Marketing strategies and Japan business objectives . Plan Field Marketing initiatives based on target industries, companies, and customer segments. Develop integrated campaigns combining events, seminars, webinars, roundtables, customer events , and other channels. Define KPIs for Field Marketing activities and continuously improve performance. 2. Events & Experiences Plan and execute industry conferences, trade shows, seminars, networking events, and other customer-facing experiences. Plan and manage Xsolla-hosted events and external event sponsorships . Manage the entire event lifecycle, including defining objectives and target audiences, content planning, attendee acquisition, on-site execution, and post-event follow-up. Coordinate and manage event partners, agencies, and vendors. Coordinate with key stakeholders, including speakers, customers, and partners. Manage post-event lead follow-up and collaborate closely with Sales. 3. Demand Generation & Pipeline Drive lead generation and pipeline creation through event and Field Marketing activities . Design and execute pre-event, during-event, and post-event campaigns . Track key business KPIs, including MQLs and SQLs . Design initiatives that connect event attendees and engagement to an ongoing customer journey . 4. Content & Thought Leadership Develop themes and content for events, seminars, and other customer-facing programs. Create content in collaboration with customers, partners, and industry experts. Plan and execute panel discussions, roundtables, executive sessions , and other thought leadership programs. Strengthen Xsolla's thought leadership and visibility within the Japanese gaming industry . Localize and translate Global / Regional content for the Japanese market. 5. Customer & Partner Marketing Plan and execute events and engagement programs for existing customers and partners. Develop Customer Success Stories, Case Studies, Customer Panels , and other customer-focused initiatives. Plan executive-level events that support relationship building with key accounts . Develop joint marketing initiatives with strategic partners and industry organizations . Strengthen Xsolla's network, visibility, and presence across the Japan gaming ecosystem . 6. Budget & Vendor Management Plan and manage the Field Marketing and Event budget . Select, negotiate with, and manage event sponsors, vendors, and agencies . Optimize budget allocation based on business priorities and performance. Manage and comply with Global / Regional budget and approval processes . QUALIFICATIONS（応募要件） 応募要件 5年以上のB2B Marketing / Field Marketing / Event Marketing経験 Technology、Gaming、SaaS、Platform、FintechなどのB2B企業での経験があることが望ましい カンファレンス、展示会、セミナー、Networking Event、Roundtableなどの企画・運営経験 Event / Field MarketingをLead Generationにつなげた経験 Marketing Budget、Agency、Vendor、Event Sponsorshipの管理経験 複数のStakeholderを巻き込み、プロジェクトを推進できる高いコミュニケーション能力 戦略立案だけでなく、自ら手を動かして実行できるHands-onな姿勢 言語 日本語：ネイティブレベル 英語：ビジネスレベル以上 求める人物像 自ら考え、主体的に行動できる方 「イベントを開催すること」ではなく、Business Impactを考えてMarketing施策を設計できる方 変化の多い環境でも柔軟に対応できる方 複数のプロジェクトを同時に管理し、優先順位をつけられる方 社内外のさまざまなStakeholderと良好な関係を構築できる方 データを見ながら施策を改善できる方 新しいアイデアや方法を積極的に試せる方 Qualifications 5+ years of experience in B2B Marketing, Field Marketing, or Event Marketing. Experience in B2B companies within Technology, Gaming, SaaS, Platforms, Fintech, or related industries is preferred. Proven experience planning and executing conferences, trade shows, seminars, networking events, roundtables, and other customer-facing programs. Proven experience leveraging Event / Field Marketing to generate leads and contribute to business growth. Experience managing Marketing Budgets, Agencies, Vendors, and Event Sponsorships. Strong communication and stakeholder management skills, with the ability to engage multiple stakeholders and drive projects forward. A hands-on mindset, with the ability to not only develop strategies but also execute initiatives independently. Languages Japanese: Native-level proficiency English: Business-level proficiency or above Ideal Candidate Profile We are looking for someone who: Thinks independently and takes ownership of their work. Designs marketing initiatives with a clear focus on business impact, rather than simply organizing events. Can adapt flexibly to a fast-changing environment. Can manage multiple projects simultaneously and effectively prioritize tasks. Can build and maintain strong relationships with a wide range of internal and external stakeholders. Uses data and performance insights to continuously improve marketing initiatives. Is proactive in testing and adopting new ideas, approaches, and tools. The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Act on the Protection of Personal Information (APPI), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - UK WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies - Native French Speaker How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. - Annual salary range: $225,000-$350,000 OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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

Location: Remote, Worldwide; Remote Workplace: remote We are seeking an experienced and highly skilled Language Expert – Urdu (Pakistan) to join our team. The ideal candidate will possess a strong linguistic background, expertise in the Urdu-Pakistan language, and the ability to lead projects with a focus on quality and efficiency. The Language expert will oversee linguistic tasks, manage quality assurance, and provide mentorship to linguists while ensuring the delivery of high-quality language services. The applicant should be native Pakistani National who understands the Language in-depth, knows the cultural nuances of the language and have excellent command over English-US, both verbal and written. Responsibility Here is a non-exhaustive list of main tasks for this role: Linguistic tasks : Perform LQA reviews , adhering to quality guidelines and production timelines. Handle arbitrations and drive linguistic consensus for optimal results. Perform glossary and TM updates within Smartling environment, following the guidelines provided by the quality team. Handle Client review (from non-linguists) feedback exchange and implementation. Process linguistic feedback from QA testing and implement changes as needed. Provide linguistic and cultural consultation as requested by the client. Quality Management tasks : Liaise with Language Specialist and translation teams (via emails & meetings) to share constructive feedback and drive overall language quality improvement . Liaise with client stakeholders (via emails & meetings) to discuss linguistic matters and offer consultation in a clear & well-substantiated manner. Maintain reference materials , training documentation and meeting notes . Answer linguistic queries adhering to outlined query management processes. Proactively monitor language quality performance via LQA report, take action to address issues in a timely manner, and flag quality risks to the quality team. Work on internal and external RCAs and QIPs , as instructed by the quality team. Proactively assess and suggest asset improvements , considering their impact on end users as well as the associated effort (time & cost). Critically prioritize and track QM tasks based on urgency, impact and client needs, adhering to relevant guidelines and designated time allocation. Education, Skills and Experience Education: A Bachelor’s degree in Linguistics, Translation Studies, Language Arts, or a related field. Experience: Minimum 5 years of professional experience in translation, localization, or linguistic services. At least 2 years of experience as a Language Lead or in a Senior Linguist position. Language Skills: Native or near-native proficiency in Urdu-Pakistan, with excellent command of English (additional language proficiency is a plus). Technical Skills: Familiarity with translation and localization tools (e.g., CAT tools, TMS systems). Strong knowledge of linguistic quality assurance processes. Soft Skills: Exceptional attention to detail and problem-solving skills. Excellent communication and leadership abilities. Ability to work collaboratively in a multicultural environment. Preferred Qualifications: Experience working in the localization/translation industry for global Music Service provider. Knowledge of Pakistani cultural and regional linguistic nuances. Certification in translation or localization tools is an advantage. Must: The candidate must be flexible to work on any type of content (Including sensitive content), music, video, genre, domain etc.

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

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

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

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

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

Location: Dhahran, Saudi Arabia Eram Talent is looking for an experienced Contracts Advisor with PMT (Project Management Team) experience to join our team in Saudi Arabia. As a vital part of the ERAM Group's recruitment division, you will provide expert contract management support for capital projects, ensuring compliance and efficient contract execution within the energy and infrastructure sectors. Responsibilities Draft, review, and negotiate contracts related to capital projects within the PMT framework Ensure adherence to contractual obligations, regulatory requirements, and company policies Collaborate closely with project managers, legal, finance, and procurement teams to manage contract lifecycle Identify, evaluate, and mitigate contractual risks Manage contract amendments, claims, and dispute resolution processes Monitor contract performance to ensure compliance and timely delivery Maintain accurate documentation and contract records throughout project phases Requirements Bachelor’s degree in Business Administration, Law, Engineering, Finance, Supply Chain Management, or a related field. 12+ Years of experience as a Contracts Specialist in Oil & Gas projects with strong Project Management Exposure. In-depth understanding of contract lifecycle management, from initiation and scope definition to execution and close-out. Familiarity with different contract types, including lump-sum, unit-price, and time-and-materials agreements. Knowledge of corporate governance frameworks and internal procurement procedures. Ability to prepare, review, and coordinate contract documentation through internal approval and execution workflows. Experience in contract administration, including performance monitoring, compliance tracking, and change control management. Proficiency in generating detailed reports, charts, summaries, and presentations to support budgeting, forecasting, and decision-making processes. Ability to work effectively in multidisciplinary teams and dynamic project environments Proficiency in contract management systems and project management tools

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

Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangChain Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. We partner closely with government program managers, technical leads, and system integrators across the full lifecycle, from pre-award shaping and evaluations through post-deployment expansion. We are building the federal go-to-market motion from the ground up, and every team member has a direct hand in shaping how LangChain is adopted across the federal landscape. ABOUT THE ROLE We're looking for a Federal Enterprise Account Executive to join our growing GTM team and lead LangChain's expansion into U.S. federal agencies. In this role, you'll own the full sales cycle — helping technical teams at DoD, Civilian, and IC agencies discover, evaluate, and adopt LangChain's products. This is a high-impact, high-visibility role where you'll collaborate closely with engineering, product, solutions engineering, and professional services to shape how AI agent infrastructure gets adopted across government. If you're a relationship-driven seller who understands the federal landscape and wants to be part of building a go-to-market motion from the ground up, we'd love to hear from you. WHAT YOU'LL DO - Own and manage the full federal sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to federal prospects and customers — including DoD, Civilian Agencies, and IC — learning their mission requirements and demonstrating how LangChain's products solve real problems - Drive proof-of-concept efforts, working with solutions engineers and product experts to demonstrate tangible value in government environments - Navigate federal procurement mechanisms — GWACs, IDIQs, OTAs, BPAs, and direct agency contracts — to close complex, multi-stakeholder deals with speed and precision - Build and maintain trusted relationships with senior agency decision-makers, program managers, and contracting officers, as well as system integrator partners (e.g., Booz Allen, SAIC, Leidos) and resellers (e.g., Carahsoft) who help drive and support deal flow - Stay on top of the federal AI landscape — agency priorities, executive orders, budget cycles, and competitor activity — to educate customers and shape LangChain's federal strategy - Build long-term customer relationships and support post-sale success in partnership with our Deployed Engineering and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring federal customer insights back to product and engineering teams to inform the roadmap and improve the user experience - Help define and iterate on our federal sales playbook — your input will help shape how we go to market in this segment WHAT YOU'LL BRING - You have 7+ years of experience selling complex software to enterprise or federal customers, with at least 3+ years focused on U.S. federal accounts (DoD, Civilian, and/or IC) - You have a proven track record of meeting or exceeding federal revenue targets — ideally $2M+ ARR annually - You have deep familiarity with federal procurement: GWACs, IDIQs, OTAs, BPAs, and direct agency contract vehicles - You can translate complex technical concepts — LLMs, RAG, agent frameworks, APIs — into mission-aligned value for both technical and non-technical government buyers - You have established relationships across federal agencies and the system integrator ecosystem - Technical acumen with the ability to establish credibility with technical decision-makers at agencies - You thrive in fast-paced start-up environments and are energized by impact — you want to help build the federal playbook, not just follow one - Driven and solutions-oriented; you know how to navigate procurement roadblocks and keep complex deals moving forward - Passionate about generative AI and excited to help federal customers navigate a rapidly evolving technology landscape - You exemplify our operating principles: - You are motivated to build something great: you hold a high bar for quality, craft, and impact in every customer interaction and internal deliverable - You embrace hot takes: you bring informed opinions about the federal AI market, challenge assumptions, and engage in constructive debate with your team - You operate with maximum agency: you take ownership of your territory, move deals forward independently, and help cross-functional partners stay unblocked - You run to the roar: you lean into the complexity of government procurement, long deal cycles, and ambiguous buying processes — and find a way through NICE TO HAVE - Active or prior U.S. security clearance (Secret, TS/SCI) - Familiarity with LangChain, LangGraph, LangSmith, or similar AI orchestration and observability tools - Experience with FedRAMP, DoD Impact Levels (IL2–IL6), or other federal compliance and authorization frameworks - Existing relationships with federal-focused system integrators and resellers (e.g., Booz Allen, SAIC, Leidos, Carahsoft) - Prior experience building a federal GTM motion at an early-stage or growth-stage company COMPENSATION Annual OTE range: $300,000 – $350,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Role Overview ESS is seeking a Principal ESG Manager to play a strategic and technical leadership role across its ESG activities. This position is suited to a seasoned professional capable of leading complex ESIA processes, conducting ESG due diligence, and advising clients at a senior level , while managing multiple high-impact assignments across the region. He will be doing site visits as required depending on the projects that will be assigned to him. Key Responsibilities ESG Advisory & Technical Leadership Provide expert guidance on ESG standards (IFC Performance Standards, World Bank, etc.) Support the development and implementation of ESG strategies across client projects Act as a subject matter expert in ESIA and environmental and social risk management ESIA & E&S Management Lead or review Environmental and Social Impact Assessments (ESIAs) Oversee ESMP implementation and monitoring Ensure quality control of deliverables from consultants and partners Project Management Manage multiple ESG assignments simultaneously Coordinate with clients, consultants, and internal teams Track timelines, deliverables, and budgets Stakeholder Engagement Support stakeholder engagement strategies and community relations Advise on grievance mechanisms, RAP/LRP processes, and social risk mitigation Recruitment & Technical Support Work closely with internal teams to define ESG/HSEC role requirements Support technical screening and validation of candidates Contribute ESG insights to support client needs and business development Reporting & Governance Prepare ESG reports and documentation Track KPIs and support continuous improvement Assist with audits and due diligence processes ESG Due Diligence & Risk Advisory Lead ESG due diligence for investments, acquisitions, and project financing Identify material environmental and social risks, liabilities, and compliance gaps Advise clients on risk mitigation strategies aligned with lender expectations Support audits, transaction processes, and independent reviews Requirements Master’s degree (or equivalent) in Environmental Science, Social Sciences, Sustainability, or related discipline 10+ years of experience in ESG / Environmental & Social roles, with significant exposure in Africa Strong experience with ESIA processes and ESMP implementation Proven project management experience Knowledge of IFC Performance Standards and international ESG frameworks Experience in mining, energy, or infrastructure sectors Excellent stakeholder engagement and communication skills Fluency in English required ; French strongly preferred Key Competencies Leadership and coordination Strong analytical and problem-solving skills Excellent organization and reporting abilities Ability to work across multiple projects and cultures Nice to Have Experience in Africa Experience with RAP/LRP implementation Familiarity with ESG reporting frameworks (e.g., GRI)

Location: Munich, Germany In order to continue our Client's expansion in this market, we are looking for a Account Executive to help build our commercial footprint – and in the medium term, lead and grow a local sales team. Reporting directly to the Country Manager Germany, you will actively contribute to the go-to-market strategy, bring new leads with high potential and contribute to our aim of becoming a key player on the local market. To be successful in your mission, you will have to interact and work with various Business Units (Sales, Marketing, Business Tech, etc.). 𝐖𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐲𝐨𝐮 𝐛𝐞 𝐝𝐨𝐢𝐧𝐠? Search for new business opportunities by proactively leveraging your professional network, including active presence at trade shows, conferences, and networking events. Develop high-impact prospecting strategies through LinkedIn, positioning yourself as a trusted industry expert within the German market. Identify, engage, and qualify high-potential opportunities generated through outbound initiatives and inbound leads in close collaboration with the Marketing team. You will take full ownership of the end-to-end sales cycle while ensuring a high level of client satisfaction in: - Deeply understanding the needs of our potential clients in Germany and obtaining qualified appointments (physically or remotely). - Presenting our solutions and convincing prospects of our added value. - Quoting commercial offers, negotiating and finally closing deals. Rigorously use our CRM Salesforce and our marketing automation tool Outreach. Suggest new sales techniques, optimizing our lead qualification strategy and processes. Support the development of the German sales structure by sharing best practices and mentoring new team members. Requirements Bachelor / Master’s degree in sales or related field. Proven track record of success in a Sales / Business Development role in the German market, preferably in a SaaS environment, ideally in a SaaS or subscription model company. Very good communication skills both in writing and orally, to communicate internally and represent the company in the country. You are comfortable in a fast-paced environment, recovering quickly from setbacks and seeing them as an opportunity to progress. You like to work in an international team and in a good mood. Team spirit and intellectual curiosity are your top 2 qualities. Native German & fluent in English. Recruitment process (in German and English) 𝐒𝐭𝐞𝐩 𝟏: Phone interview with the Talent Acquisition Manager (45') 𝐒𝐭𝐞𝐩 𝟐: Manager interview (60') 𝐒𝐭𝐞𝐩 𝟑: Case study followed by an interview (60') 𝐒𝐭𝐞𝐩 𝟒: Our “Final Talk” (45') Benefits 𝐃𝐮𝐚𝐥 𝐜𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐯𝐞 𝐛𝐨𝐧𝐮𝐬 𝐬𝐲𝐬𝐭𝐞𝐦. 𝐃𝐞𝐮𝐭𝐬𝐜𝐡𝐥𝐚𝐧𝐝𝐭𝐢𝐜𝐤𝐞𝐭 𝐖𝐞𝐥𝐥𝐩𝐚𝐬𝐬 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧

Location: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Job Summary:   The Platform Engineering team is a close-knit group of highly senior engineers focused on building software products for developers — from internal APIs and services to developer tooling, CI/CD frameworks, and Kubernetes-based abstractions. We treat our platform as a product — prioritizing usability, adoption, and developer experience as first-class concerns. You will spend a significant portion of your time writing code — building platform services, APIs, and developer tooling used across engineering teams. This is a rare opportunity to work alongside highly experienced engineers on meaningful software problems where your ideas and expertise truly matter. The team operates in Hybrid, focusing office time for meaningful collaboration. Platform Engineering exists to empower product engineering teams to build, deploy, and operate healthcare software faster, more reliably, and more securely. We solve complex cross-functional problems through well-designed software systems — building APIs, services, and developer-facing applications that reduce cognitive load so development teams can focus on delivering value to clinicians and patients. We may not own every part of the stack, but we engineer the APIs, abstractions, and interfaces that piece it together meaningfully — and we own the design, implementation, testing, and lifecycle of what we build through sound software engineering practices and SRE principles   Key Responsibilities  1 · Design, build, and maintain platform services, APIs, SDKs, and internal tools used across engineering teams 2 · Own platform services end-to-end — from design and implementation through production operation and continuous improvement, writing high-quality, testable code throughout 3 · Design and improve CI/CD workflows and developer automation with a focus on usability and efficiency 4 · Apply distributed systems and backend engineering principles to design scalable, resilient services and APIs 5 · Production ownership of the services and tools you build — including observability, debugging, and incident response   Qualifications & Skills   Minimum Expert-level proficiency in TypeScript/Node.js building production-grade APIs, services, developer tools, and developer-facing UIs (React or similar), with strong automated testing practices (unit, integration, E2E)  Strong software engineering fundamentals — distributed systems, API design, and production backend services, with a proven ability to make pragmatic trade-offs across scalability, reliability, and developer experience Working proficiency with observability (metrics, logging, distributed tracing, SLI/SLO frameworks) and production ownership of services you build — including incident response and post-mortems Strong proficiency with Kubernetes — building software abstractions and APIs, extending capabilities through custom controllers and operators Strong proficiency designing and building CI/CD pipelines optimized for security, compliance, and developer experience Working proficiency with Infrastructure as Code (Terraform, Pulumi), GitOps practices, and cloud-native environments  Strong communication, influence, and documentation skills — able to drive adoption of platform patterns, translate technical complexity for diverse audiences, and produce ADRs, runbooks, and developer- facing documentation Preferred: Experience building internal developer platforms or platform-as-a-product initiatives, including developer portals and self-service tooling  Experience with AI/ML integration: LLM APIs, intelligent automation, AI-assisted developer tooling, and agentic patterns Working proficiency with cloud security practices (IAM, secret handling, encryption), compliance tooling (HIPAA, SOC 2, HITRUST), or cloud cost optimization (FinOps) #LI-AV1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,700 $158.600 + bonus + benefits. (overtime eligible). Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: United States What the Role Is Babylist serves nearly a million expectant parents every year through one of the most trusted registry experiences in the market. Wishlist is the next chapter — a product that keeps families connected to Babylist well beyond the newborn phase, giving parents of young children a simple, intelligent way to guide gift-giving for birthdays, holidays, and everything in between. This PM will own the product end-to-end: vision, roadmap, and execution. It sits within Babylist's consumer growth and LTV organization and reports to the Senior Director of Product. You'll run it like a general manager: accountable for the customer experience and the business it builds. This is a multifaceted job. Be the best Staff PM your team has ever worked with: opinionated, customer-obsessed, outcome-owning, force-multiplying. And help Babylist make the transition into AI-native product development by modeling what an AI-native PM does every day — in your own work and in the standards you set for the team around you. Who You Are You've built something from 0 to 1 — a product, a company, or a line of business. You've lived the uncertainty, the false starts, and the iteration, and you don't need a playbook to get moving. You have sharp product sense and judgment. You know what's worth building and what isn't, what the right UX is, and what will delight users. You can point to shipped work that proves it - both features you added for a better experience and ones you cut for simplicity. You think like a general manager, not a feature owner. You understand how a business like Babylist makes money and which levers actually move it, and you make roadmap calls with the unit economics in mind. You build engagement and growth loops. You understand activation, retention, and the push/pull triggers that bring users back around moments that matter. You're obsessed with customers. You talk to users directly, synthesize fast, and let what you hear actually change what you build. You can prioritize across a multi-sided product. Parents want simplicity, kids have preferences, gift-givers need guidance. You weigh all three without defaulting to whoever's loudest. You default to action in ambiguity . Faced with an unclear problem, your instinct is to try something and learn quickly. People who've worked with you would say you just get things done. You're comfortable getting hands-on when it's the fastest path to an answer — light SQL, Figma, or AI-assisted prototyping to test an idea or unblock a decision — and you know when to hand off to a specialist instead. You naturally reach for AI in your work . At Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. You also stand up working prototypes yourself, query the data and codebase directly, and contribute to code execution when that’s the most valuable use of your time. You learn visibly and adapt. The next 18 months won't look like the last. You reflect on what's working, change course when it isn't, and bring curiosity to ambiguity rather than anxiety. You're humble, low-ego, and work across team boundaries without waiting for permission. How You Will Make An Impact Make parents' lives easier by simplifying the answer to “what can I get your child for their birthday?” Extend Babylist's relationship with parents from the 40 weeks of pregnancy into the 1,000 weeks of early childhood that follow. Define and own the roadmap from today's MVP to a scalable, multi-sided gifting experience. Discover the needs of your customers: parents, grandparents, aunts, uncles, and gift-givers. Engage users during their most important moments: birthdays, holidays, and seasonal occasions Set the outcome metrics for the product and own the results — what moved, why, and what's next. Partner closely with engineering and design to run experiments and iterate fast, serving as the connective tissue between product, design, and engineering as the team grows. Why This Role You get access to nearly a million new parents per year from day one. Most founders spend years trying to acquire the audience this product already has. This is a net-new line of business with no prior PM, meaning the roadmap, the team shape, and the definition of success are yours to establish. There's a clear path to real revenue, and you'll be building something that matters to Babylist's long-term business. About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $214,507 to $256,885 + target 20% annual bonus and competitive equity Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: European Union Workplace: Remote About the Role Playson is on the lookout for an exceptional Senior 2D Artist to transform our gaming visions into stunning realities. Key Responsibilities - Participate in mood boards, brainstorming sessions, and market trend analysis to spark new projects. Our innovative projects ensure your work remains fresh and exciting - Design game symbols, characters, and promotional materials, ensuring our art leads the market - Refine and perfect artwork based on team and stakeholder feedback. The inspiring environment means our games set trends that others follow - Prepare 2D artworks for animation, ensuring smooth transitions from static images to dynamic visuals - Be an active part of the Playson Art Community, sharing ideas and inspiration. We encourage continuous growth through access to the latest tools, courses, and training for your professional development - Grow not just visual quality, but also product thinking that directly supports business impact Requirements - Over 5 years as a professional 2D Artist in the slots game industry - Proficiency with Photoshop and similar raster graphics applications, experience with 3d as a bonus - Strong understanding of colour theory, composition, lighting, anatomy, and diverse art styles. Classical art education is a plus, as it provides a solid foundation in these principles - Take charge of your creative process and work closely with like-minded professionals. Your skills in conceptualising and creating captivating visuals will be key to our projects, allowing you to make a significant impact - We value senior employees who bring solutions, communicate effectively, and engage in candid discussions, maintaining transparency and a positive team atmosphere - Excellent collaboration skills, providing and receiving constructive feedback. Our open and proactive culture means we're always ready for new ideas and changes - As a senior artist, you’ll not just execute tasks but own the process, bringing a product-focused approach to all your work. You'll have the opportunity to hear the continuous feedback from domain experts   and convert it into a strong product What we Offer - Benefit from a transparent and systematic quarterly bonus system - We offer a flexible work schedule to accommodate your needs - Choose to work remotely, providing greater flexibility and comfort - Enjoy unlimited paid vacation leave, including bank holidays - Take unlimited paid sick leave whenever necessary - Get reimbursement for professional development courses and training. We provide access to the latest tools and training for continuous growth Recruitment Process - Portfolio review. Applications without a portfolio will not be considered for further steps - HR Interview - Take home task - Final interview By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.