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Location: London; Belgrade Workplace: Hybrid About the role Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless. Responsibilities - Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention - Build data pipelines and real-time feature computation that power detections and ML models - Collect and process trust signals - Integrate fraud decisions into product, auth, and payment flows across Perplexity - Own reliability of production services: observability, alerting, safe rollouts, incident response - Build internal tooling for investigation, enforcement, and auditability - Partner with fraud analysts to turn new abuse patterns into production detections quickly Qualifications - 5+ years building and operating high-throughput, latency-sensitive backend systems in production - Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust) - Hands-on experience with Kubernetes, Terraform and cloud infrastructure - Solid data fundamentals: stream/batch computations, caching and storage trade-offs - Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely Nice to have - Fraud prevention, anti-abuse, or payments-risk domain experience - Experience serving ML models in production - Client-side experience (web or mobile) for signal collection

Location: Kyiv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Ми шукаємо людину, яка стане «двигуном процесів» у нашій команді. Це не про контроль чи формальності, а про те, щоб бачити сенси, аналізувати дані, будувати процеси, що працюють як по маслу, і робити їх кращими щодня. Ця роль поєднує в собі process owner-а (відповідальність за потоки та їх ефективність) і business analyst-а (уміння працювати з цифрами, метриками, інсайтами). Ми шукаємо людину, яка вміє: Зібрати дані → осмислити → виявити слабкі місця. Сформулювати гіпотези та пропозиції покращення. Автоматизувати рутину та будувати прозорі показники. І при цьому лишатися «своєю» в команді: не бюрократ, а партнер, драйвер і натхненник.   Hard skills: Досвід у ролі Business Analyst / Process Owner / Operations Manager (або схожих). Розуміння бізнес-процесів (BPMN, workflow, value stream). Аналітика даних: SQL / Excel / Power BI / Google Sheets (будь-які інструменти для цифр). Вміння працювати з метриками: KPI, SLA, OKR, дашборди. Базові знання інтеграцій / автоматизацій (Jira, SAP, ERP, Power Automate або подібні). Навички підготовки документації: вимоги, user stories, процесні карти.   Soft skills: Ownership – сприймає процеси як свої, не перекладає відповідальність. Аналітичне мислення + інтуїція – бачить як цифри, так і сенси за ними. Системність і структурність, але без зайвої бюрократії. Комунікація – вміє пояснити складне просто, говорити з різними командами «їхньою мовою». Проактивність і драйв – не чекає задач, а сам шукає як зробити краще. Гнучкість – адаптується до змін, допомагає команді пройти трансформації без «болю». Емпатія – слухає і розуміє людей, а не примушує. Пропонуємо: Можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво. Місце у стрімко зростаючій компанії з вмотивованою професійною командою. Конкурентну заробітну плату. Медичне страхування. Корпоративні заняття з англійської мови. Можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax. Знижки на продукти компанії та партнерів. Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. We're hiring a Sr. Manager, Global Data Analytics to lead our analytics team and encourage decisions based on data across our commercial sales, operations, and WPN divisions. You'll supervise a team of analysts, lead the analytics roadmap, and serve as the liaison between business partners and the data organization. This is a player-coach role: you’ll lead and develop a global analytics team while staying hands-on in the work. You’ll mentor talent and set the roadmap and processes. You will also dig into the data using SQL and Python scripting to turn complex business problems into clear, actionable answers. You’ll hold a high bar for the integrity of data and deliver analytics initiatives that are accurate, on time, and trusted by senior leaders. What You’ll Do You’ll build and lead a high-performing, globally distributed analytics team that moves fast and asks better questions. In this role, you will: Lead and develop a team of business and data analysts across regions, with coaching, career growth, and clear direction. Own the global analytics roadmap for commercial teams, prioritizing work, managing capacity, and delivering against business goals. Partner with Data Engineering, Platform Engineering, Data Science, and Economics stakeholders to set shared data priorities, standards, and practices that build a stronger data culture across Wizards of the Coast. Build the operating model. Create scalable processes, standards, and documentation that let the team move quickly without sacrificing quality. Partner with senior stakeholders in EMEA, APAC, and North America to turn business needs into analytical frameworks, key metrics, and reporting strategy. Oversee delivery of dashboards, models, and data solutions using Snowflake, dbt, Python, and BI tools (Tableau, Power BI, or Looker). Drive data quality and governance in partnership with data engineering and BI. Embed analytics in decisions by collaborating across product, finance, supply chain, engineering, and marketing. Present insights and recommendations to senior leaders to shape planning, forecasting, and go-to-market execution. Bring innovation by testing new tools, methods, automation, and AI strategy & governance for commercial to keep the team ahead. What You’ll Bring 10+ years in data or business analytics, with 4+ years managing people or leading teams. Hands-on experience supporting business in both EMEA and APAC , with a real understanding of regional market, cultural, and data nuances. Exposure to commercial sales, logistics, and retail analytics . Strong SQL and Python skills, and familiarity with the modern data stack (Snowflake, dbt, ETL workflows). Experience with BI platforms such as Tableau, Power BI, or Looker. Proven record of hiring, developing, and managing analytical talent, ideally across time zones. Track record of building roadmaps and processes from the ground up and delivering in a fast-paced environment. Ability to influence senior stakeholders and align cross-functional teams. Strong grasp of data governance and quality. Excellent communication skills, with the ability to make complex data clear to non-technical audiences. Bachelor’s or Master’s in Analytics, Data Science, Economics, or a related field (or equivalent experience). The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $133,200 — $213,100 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Europe/Ukraine We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Requirements — At least 3 years of relevant experience in Crypto investments, VC, CVC, corporate development, M&A, or related areas. — Deep practical understanding of Crypto and Web3. — Strong knowledge of DeFi, L1/L2, blockchain infrastructure, tokenomics, and crypto business models. — Understanding of the full investment lifecycle from sourcing and screening to DD, investment decision, and portfolio monitoring. — Ability to independently evaluate Web3 projects and form a well reasoned investment opinion. — Experience with AI tools and automation. — Strong operational and organizational skills. — Ability to build, document, and improve processes. — Ability to coordinate a team and ensure consistent delivery. — High ownership and independence. — Strong analytical and communication skills. Responsibilities — Manage the day to day investment pipeline and ensure projects move through the defined process. — Coordinate Investment Research Analysts and control the quality and timing of delivery. — Manage Jira, project statuses, ownership, deadlines, SLA, and backlog. — Run operational team syncs. — Translate strategic tasks and processes defined together with the Head into concrete execution and results. — Conduct and coordinate project analysis and due diligence. — Review investment materials and formulate recommendations. — Develop and improve investment workflows. — Support the Builder Program. — Participate in sourcing and relationship building with founders, VC funds, and ecosystem partners. — Support the development of CVC and strategic investment activities. — Participate in strategic transactions and potential M&A searches. — Use AI and automation to improve process efficiency. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Take full ownership of our IT security environment, policies, and risk management. Manage key security tools including FortiGate firewalls, CrowdStrike Falcon, and ManageEngine.

Location: Remote Spain, Spain Workplace: remote Welcome to OLX  We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.  Join OLX and see how far you can go. We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact. A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation. The role We're looking for an AI-native Product Designer to join our Product Design team at OLX. Reporting to the Product Design Manager, you will be embedded in a product team and work at the intersection of design, code, and AI systems. You will use AI tools - including Lovable, Claude, and Cursor - as everyday instruments to prototype, iterate, and ship live product experiences. The output we expect is not static mockups: it's working artifacts that reach production with engineering pair-support. You will own your design decisions end-to-end and be accountable for the quality and impact of what you ship. What responsibilities will you get when working with us? Collaborate with product managers, engineers and data analysts embedded in your product team to conceptualize and ship user-centred solutions that create measurable value for our customers - taking end-to-end accountability for quality, trust, and performance from concept through production. Connect your design decisions to business outcomes - translating commercial goals into design logic, defining success metrics, and running experiments that demonstrate measurable impact. Use AI-native workflows to collapse the gap between idea and production, prototyping and iterating directly in code rather than through static handoffs. Build working prototypes and production-ready components, test them with real users, and iterate fast - shipping to production with engineering pair-support. Design and orchestrate AI-assisted interaction patterns, including multi-step flows and human-in-the-loop experiences, exercising strong design taste to critique and elevate AI-generated outputs. Contribute to Nexus, our design system, by building and maintaining code components - not just static documentation - that can be used directly by engineering teams. Run brainstorming sessions and design reviews with your design peers, communicating your design rationale clearly and with data to cross-functional stakeholders. As a Product Designer at OLX, you will need: 3+ years of experience in UX/Digital Product Design, with a portfolio that showcases shipped work and live prototypes - not just static screens. Demonstrated AI-native mindset: you already use AI tools (such as Figma Make, Lovable, Cursor, Claude, or equivalents) as a core part of how you design, prototype, and iterate. Proficiency with code-assisted design: you can read and critique React/HTML through AI-generated outputs, and guide prompts to refine UI. OR fluent with no-code tools (Lovable) to ship directly without engineering handoff. A solid grasp of user-centred design principles and the ability to apply them to fast-moving, iterative product development cycles. Strong systems thinking: ability to design for probabilistic, AI-driven experiences and to consider the end-to-end product journey - not just individual screens. Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent. Excellent communication skills, both written and verbal, to articulate design decisions and influence cross-functional partners. A growth mindset: you prioritise learning and adaptability over mastery of any specific tool, and you thrive as the landscape evolves. Strong sense of collaboration and the ability to give and receive candid feedback. Proficiency in English for effective communication. What can we offer you: Join a European Product Design team with 70+ members A permanent contract, competitive salary and annual bonus of 15% of your annual gross salary Train and conference budget and free access to Udemy courses Health insurance and life insurance MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable 100% remote work (and the possibility to work from our office in Barcelona) Opportunity to create impact and push your design initiatives forward. Hiring process First Stage TA Screen This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to discuss your aspirations and ensure alignment with our culture and values. Second Stage Portfolio Review In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your process thinking and approach to design through a case study of your choice. This is also a great opportunity to discuss how you collaborate with others and how your values align with our team culture. Third Stage AI Sandbox Challenge This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your workflows, and apply your skills in a practical setting. We aim to make this process clear, collaborative, and reflective of the way we work as a team. Location This position is open and can only be hired in Spain. Candidates applying must be based and eligible to work in Spain to be considered for this position. DEI statement OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us! Privacy Data disclaimer  OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Senior Influencer Marketing Manager to build influencer marketing as a new performance channel for one of our core D2C subscription products — a product that has already acquired over 100 million users through paid ads on every major network. Influencers are a new channel for us: you will own it end to end — from the first plan to a scaled channel across Europe, Latin America and Asia. You will report to the Head of User Acquisition. This is a performance role, not brand awareness. Every collaboration is measured by paid subscriptions, CPA and ROI. Data and tracking are already in place, and a hands-on UA team will support you. We give large budgets and expect a highly experienced person in return: someone who thrives in a very fast-paced environment and takes full accountability for the channel's data and metrics. KEY RESPONSIBILITIES BUILD THE CHANNEL - Build influencer marketing from zero: markets, platforms, creator tiers, deal models and budget, in a written plan. - Launch first campaigns within your first month, then scale the ones that pay back. - Prioritise markets by results: start where the cost per subscription is lowest, then expand. CREATORS & DEALS - Find and qualify creators on TikTok, Instagram and YouTube in Europe, Latin America and Asia. - Build a network of creators, agencies and creator networks in each region. - Negotiate deals: flat fee, CPA, hybrid. Keep the cost of every deal tied to its result. - Manage the full cycle: outreach, contract, brief, content approval, publication, payment. TRACKING & RESULTS - Set up tracking for every creator: unique links, attribution. - Be fully accountable for the channel's data and metrics: spend, subscriptions, CPA and ROI per creator. Keep the numbers accurate and report weekly with a clear decision — rebook, scale or stop. - Keep a database of creators, prices, results and learnings. QUALIFICATIONS - 3+ years in influencer marketing with a performance focus — for D2C subscription apps, mobile apps or online products. - Managed influencer budgets of $50K+ per month with measurable results: spend, number of creators, CPA or ROI (examples required). - Hands-on experience in at least one of our regions: Europe, Latin America or Asia. - Experience sourcing and negotiating with creators directly, not only through agencies. - Experience with CPA and hybrid deals. - Experience setting up tracking: links, attribution. - Knowledge of TikTok, Instagram and YouTube rules for sponsored content. - Fluent written & spoken English. NICE TO HAVE - Built an influencer channel from zero. - Experience with influencer platforms and tools (Modash, CreatorIQ, Upfluence or similar). - Experience with health, education or self-improvement products. WORKING ATTRIBUTES - Results over reach — measures every deal by subscriptions, not views. - Owns the numbers — knows the CPA and ROI of every creator without asking an analyst. - Hands-on — does outreach and negotiation personally. - Thrives in a fast-paced environment — launches, measures and decides in days, not months. - Organised — tracks every creator, deal and payment. - Reliable — delivers what was promised, when it was promised.   LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS - 🚀 Build a new channel from zero, with large budgets and full ownership - 📈 Product with 100M+ users and proven ads to learn from - 🌍 Remote work environment (work from anywhere) - 💰 Competitive compensation — details shared during interview - 🏆 Performance bonus tied to channel results, on top of salary - 💻 Company-provided equipment (if needed) Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Munich, Germany 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. Manager, Enterprise Sales, DACH & CEE As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals. You'll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help Industries customers embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with decision-makers and ensure differentiated value across the Industries landscape. The ideal candidate will have a passion for developing people, identifying market opportunities within Industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help customers to obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for all applications Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives within the Industries sector Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within departments, research centers, and administrative offices Help your team navigate complex stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Gather and synthesize customer feedback from users to inform product direction and enhance customer experience for Industries Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in DACH and CEE Ability to source and attract extraordinary talent with great cultural fit and enable them continuously Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with their stakeholders Track record of successful partnership with technical teams throughout the customer journey Deep understanding of Industries buying cycles, procurement frameworks, and key pain points Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives Experience managing complex enterprise sales cycles and helping AEs secure strategic deals Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles Excellent communication skills and ability to build relationships across all levels, from analysts and researchers to senior executives in Industries Passion for AI technology and commitment to its safe and responsible development. 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: €310.000 — €380.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰£76,500 - £95,000 + Benefits ✨| ℹ️ This is a 12 month Fixed-Term contract Our Information Security team ⭐ At Monzo, we’re on a mission to make money work for everyone. Keeping our bank safe and secure is a big part of making that happen. Our Information Security Squad builds security processes that help us move at pace while protecting our customers. We work in partnership with teams across Monzo, including Product and Engineering, to help them create products our customers love. In this role, you’ll lead security projects, help teams understand and manage risk, and support the development of our Security Analysts. 🔑 You’ll play a key role by... Leading projects across our security programme, which has previously included third-party security, governance and vulnerability management. Representing Security in projects across Monzo, including product launches, and helping teams identify and manage security risks. Writing security policies and procedures with teams across Security and the wider bank. Mentoring and developing our Security Analysts. Keeping up with emerging security threats, technology and risks, and helping us prepare for what’s next. Working with our internal audit and risk teams to make sure security controls are implemented and regularly assessed for effectiveness. 🤩 We’d love to hear from you if… You’re excited about making a difference to how we deliver information security at Monzo. You’ve managed projects across a range of security domains and are comfortable leading several pieces of work at once. You’re working towards a recognised security qualification, such as CISSP. You communicate clearly in writing and conversation, and can explain complex topics to different audiences. You work confidently and independently, including when engaging senior stakeholders, and enjoy working in a fast-paced environment. You enjoy using data to measure and improve your work, can interpret technical requirements, regulations and procedures, and are open to new approaches and technologies, including GenAI. Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply—even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you! 🙌 What’s in it for you 💰 £76,500 - £95,000 ℹ️This is a 12 month Fixed-Term contract 📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . 🌈 The application journey has 3 key steps 20 min call with the recruiter 30 min hiring manager call 2 hours of technical and behavioural interviews This process should take around 4-5 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. #LI-REMOTE #LI-OS1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia You’ve built data teams from the ground up and know how to turn raw information into better product decisions. You care deeply about how AI is changing software development, and you want to shape the data foundations that make it happen. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 organizations, and 88 of the Fortune Global Top 100 companies rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do JetBrains Air is an AI-native software development platform that connects developer workflows, collaboration, and control into a single system. Because this is a major strategic focus for us, we need a strong data function to help guide it. As Head of Data Science and Analytics for JetBrains Air, you’ll lead our data science, analytics, and data engineering capabilities for both the product and go-to-market domains. By building a high-performing team, you’ll help us use data to navigate product direction, optimize product and go-to-market decisions, and accelerate growth. You’ll own the data strategy for JetBrains AI, partnering closely with product, engineering, and leadership teams to ensure our data infrastructure scales smoothly alongside our ambitions. Day to day, you will: Build and lead a cohesive team of data scientists, analysts, and data engineers. Help teams adopt a rigorous experimentation culture, improving how we test and measure product changes. Uncover insights across the customer journey to improve acquisition, retention, and monetization. Establish scalable analytics foundations, including clear metric frameworks, data models, and self-service reporting. Partner with engineering teams to design robust, compliant data infrastructure and pipelines. Guide the development of machine learning capabilities that enhance marketing acquisition, product personalization, and operational efficiency. Translate complex data signals into clear, actionable recommendations for leadership. Define the business unit's data strategy to support product and engineering priorities. What you’ll bring A strategic mindset paired with a willingness to dive hands-on into the details when necessary. A strong belief in building experimentation cultures and helping others make data-informed decisions. The ability to navigate ambiguity and build new capabilities in a fast-moving space. Clear, candid communication skills to align both technical and non-technical stakeholders. A deep appreciation for developer products and a distinct point of view on how AI will shape the future of software creation. A commitment to maintaining high standards for privacy, security, and responsible data use. What you’ll need Proven experience leading and scaling a data function within a product-led, B2B SaaS, AI, or developer tools environment. A deep understanding of modern data science and analytics practices, including cohort analysis, A/B testing, segmentation, and machine learning applications to product and marketing problems. A solid grasp of data engineering fundamentals, such as data modeling, and orchestration. A track record of hiring, mentoring, and developing multidisciplinary data teams. Willingness to learn fast and find practical solutions to hard problems. What success looks like You will have transformed JetBrains Air into a truly data-informed, experimentation-driven product offering. By establishing strong data foundations, you’ll empower teams to deeply understand our customers, accurately measure product impact, and confidently make strategic decisions. Rather than just reporting on what has already happened, your work will actively shape what we build next. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-HYBRID #LI-MR1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

The Site Payments Supervisor (Investigator Payments Supervisor, home based, UK) is responsible for oversight and management of the Site Payment Analyst group, across all therapeutic areas in a specific region. What You Will Do Your focus will be on coordinating pricing and investigator payments delivery, resolving issues, and developing team capability.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Data Engineer at GitLab, you'll build, run, and maintain the pipelines and infrastructure that bring data from our enterprise applications, internal systems, and GitLab's software as a service (SaaS) platform into our data platform. Your work will power company reporting, data science, and artificial intelligence (AI) self-service. You'll own features end to end, from source integration to tested, monitored, documented data ready for use. You'll focus on keeping the platform reliable, secure, and cost-efficient as data volumes and AI usage grow, and making governed data ready for AI tools, agents, and Model Context Protocol (MCP)-based access. This is an AI-first role: you'll use AI coding agents every day while maintaining high standards for code review and testing. You'll report to the Director, Data Platform. What you’ll do Build, extend, and maintain extract, load, transform (ELT) pipelines from enterprise applications such as Salesforce, Zuora, Zendesk, and Marketo, internal systems, and the GitLab SaaS platform. Integrate data through application programming interfaces (APIs) and event sources such as Snowplow. Manage and maintain the infrastructure behind the platform, including SaaS tools such as Snowflake, Fivetran, and Monte Carlo, and self-managed services such as Airflow and Kubernetes. Write maintainable, well-tested, performant Python and Structured Query Language (SQL) code that meets our internal standards, and review GitLab team members' merge requests. Own day-to-day platform operations: triage and resolve failed pipelines, infrastructure issues, and GitLab team member requests. Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient. Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners so data lands in the shape they need for downstream use. Use AI coding agents such as Claude Code, OpenCode, GitLab Duo, or similar tools to speed up development, debugging, testing, and documentation without compromising review rigor. Apply role-based access control (RBAC) and masking policies to make governed data available to AI tools and agents. Handle data subject to Sarbanes-Oxley (SOX) controls, material nonpublic information (MNPI), and personal data safely. Ship medium-sized features independently in small, iterative merge requests, and document architecture and runbooks in the handbook. What You'll Bring Professional experience shipping production data pipelines in Python. Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred. Hands-on experience with ELT or extract, transform, load (ETL) pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion. Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling. Experience running and troubleshooting data infrastructure, with comfort using Git-based workflows, continuous integration and continuous delivery (CI/CD), and code review. Hands-on experience using AI coding tools in your daily work, with an understanding of where they help and where they fall short. Clear written communication, the ability to use GitLab, and comfort working asynchronously in a fully remote organization in line with GitLab's values. Preferred, not required: experience with Snowflake; Docker, Kubernetes, Google Cloud Platform (GCP), or Terraform; SaaS application APIs such as Salesforce, Zuora, or Zendesk; data observability tooling; or Snowflake administration. About the team The Data Platform team within Enterprise Data is responsible for a scalable, reliable and secure data platform for data analytics at GitLab. That includes managing and maintaining the infrastructure we use, both SaaS and self-managed, and building and maintaining the data pipelines that bring data into it. We make data reliable, secure and ready for analytics, data science and AI tools. As more questions go straight to AI tools and agents, the platform underneath has to be more reliable, better governed and more cost-efficient than ever. We're fully remote and globally distributed, and work asynchronously through issues, merge requests and the handbook. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Georgia; Kazakhstan; Thailand We are looking for a Middle Backend Developer (Java/Kotlin) . What We Offer: the opportunity to influence technical and architectural decisions; involvement in the full development lifecycle, from design to deployment; hands-on experience with Big Data technologies and distributed systems; technical mentorship and opportunities for professional growth. About the Project We develop a Big Data platform and tools focused on: • Data Ingestion — collecting and delivering data from business systems to an analytical data warehouse.. • Data Maintenance — maintaining and optimizing data storage.. • Analytics Integration — integrating various analytics services and tools into the data platform. Our Tech Stack • Backend: Java, Python, Rust, Spring Boot. • Data Streaming & CDC: Apache Kafka, Kafka Connect, Debezium. • Data Processing & Storage: Apache Spark, Apache Iceberg, Trino, Ozone S3. • Database: PostgreSQL. • Infrastructure: Kubernetes. Responsibilities • Develop and maintain the system that collects data from business services and delivers it to the analytical data warehouse (Ozone). • Develop the metadata and statistics service for warehouse tables, including the interface and table optimization. • Integrate existing tools into a unified data platform for analysts and data engineers, with end-to-end access based on permissions. • Support the team’s tools and partially contribute to other projects the team relies on. • Take part in all stages of development, from design to deployment, with the ability to influence the tool. • Work with complex multi-step integrations and high load. Requirements Technical Requirements Must-have Java and/or Kotlin Spring Boot Apache Kafka Relational databases (PostgreSQL) Nice-to-have Rust and/or Python Apache Spark S3-compatible object storage Experience with distributed systems and Big Data technologies What We Expect A proactive mindset and willingness to take ownership of tasks. Interest in contributing to technical discussions, design decisions, and architecture. Willingness to learn new technologies, receive feedback, and grow with guidance from the Tech Lead. Benefits Flexible schedules and the opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: emergingtravel.com/career/hr-policy

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia The Service Desk Technician provides first-level and some second-level IT support to users through phone, email, live chat, and walk-in services. The role involves troubleshooting technical issues, resolving user queries, escalating complex problems, and ensuring timely support for both on-site and remote users. Key Responsibilities Respond to IT support requests via telephone, email, live chat, and walk-ins. Provide first-level and basic second-level technical support to users. Troubleshoot and resolve hardware, software, network, and connectivity issues. Support on-site and remote users. Set up new user accounts and perform password resets. Escalate complex technical issues to second-line support teams. Track and follow up on unresolved support requests until closure. Assist with software installation and troubleshooting. Maintain and update service desk records and web pages. Ensure compliance with IT security policies and procedures. Provide 24/7 technical support on a shift basis. Maintain issue logs and report administrative and security concerns. Support the service desk team with daily technical activities. Requirements High School Diploma; a Degree in an IT-related discipline is preferred. Minimum 3 years of experience as an IT Service Desk Analyst or in a similar role. Strong computer and technical troubleshooting skills. Familiarity with Windows, Mac, and Linux operating systems. Knowledge of Wi-Fi, cellular technologies, and general IT troubleshooting. Good customer service and communication skills. Ability to troubleshoot and resolve user technical issues. Good teamwork and problem-solving abilities. Ability to work in a 24/7 shift-based environment.

Location: Abu Dhabi, UAE About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. What You’ll Do Develop and continuously improve risk and surveillance strategies for identifying abusive or manipulative activity across spot, perpetual futures , options, and related trading products. Investigate potentially coordinated or suspicious trading activity using order-flow analysis, self-trading and crossing behaviours, order-book signals, and account-linkage indicators. Define behavioural patterns for new or evolving manipulation methods, particularly in thinly traded assets, leveraged instruments, and liquidation-driven market events. Assess the impact of identified risks, including possible market disruption, financial exposure, and concentration of risk, to inform prioritisation and leadership reporting. Partner with Product, Compliance, and other relevant teams to design, test, and implement appropriate monitoring rules and risk controls. Collaborate with data scientists and analysts to translate trading-risk concepts into effective detection logic, models, and monitoring workflows. What You Bring Practical experience trading or managing risk in derivatives, with strong knowledge of futures, perpetual swaps, and options. Solid understanding of leverage, margin requirements, liquidation processes, insurance-fund structures, and auto-deleveraging mechanisms. Demonstrated experience in trading-risk management, market surveillance, or preventing market-abuse activity such as spoofing, layering, wash trading, front-running, or misuse of privileged information. Strong analytical ability; advanced SQL skills are essential, and Python experience is highly desirable. Ability to independently create and validate detection approaches using order-level and trade-level data. A mindset that anticipates how bad actors may build positions, obscure their behaviour, and exploit market or product mechanics. Preferred Qualifications Background in market surveillance, trading risk, or market-conduct roles at a digital-asset exchange, brokerage, or trading venue. Active derivatives-trading experience or a demonstrable quantitative trading record. Familiarity with conventional financial-market abuse regulations, surveillance frameworks, or vendor platforms. Knowledge of blockchain analytics and on-chain transaction tracing. Experience using graph analysis or entity-resolution methods to uncover coordinated account networks and fund flows. Familiarity with market-quality and anomaly indicators, such as VPIN and HHI. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Are you the person your recruiting team goes to when something needs fixing, answering, or building? As a Recruiting Operations Specialist, you'll keep the day-to-day requests from the recruiting team and our hiring partners moving quickly and accurately across our recruiting systems, reporting, and AI tools. Baseten is growing fast, and this role helps the recruiting team keep up. Much of your time goes to intake: sorting requests, resolving what you can, routing the rest, and closing the loop. As you learn our systems, you'll take on project work that makes those requests less frequent over time. You'll report to the Recruiting Operations Lead and work alongside another Specialist, plus a Recruiting Operations Program Manager and an Analyst, supporting both with data, setup, and rollout work. EXAMPLE INITIATIVES Take a look at these recent posts to see the pace of growth our recruiting team supports: - Announcing our partnership with OpenAI https://www.baseten.co/blog/baseten-openai-partnership/ - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Sheila Vashee joins Baseten as CMO https://www.baseten.co/blog/sheila-vashee-joins-baseten-as-cmo/ RESPONSIBILITIES - Own intake for requests and questions from recruiters, coordinators, and hiring managers: sort them, resolve what you can, route the rest, and close the loop with the requester. - Set up and update our ATS, including opening new jobs, building interview plans, and maintaining interviewer assignments and interviewer pools. - Manage system access, permissions, and tool licenses for recruiters, coordinators, interviewers, and hiring managers. - Keep recruiting data clean and trustworthy by loading candidate information from spreadsheets, email, and sourcing exports, merging duplicates, fixing candidate sources, archiving stale records, and flagging suspicious applications. - Keep open roles in the ATS aligned with the company headcount plan, and flag mismatches. - Pull data for recruiters and leadership, such as pass-through rates, interviewer load, and time-to-hire, and keep recurring reports accurate. - Build and maintain workflows, automations, and AI-powered tools that cut manual work, and help the team get the most out of them. - Write and maintain how-to guides, short video walkthroughs, onboarding material, and announcements when recruiting processes or tools change. - Spot patterns in incoming requests and turn them into lasting fixes, such as a guide, template, or tool. - Support larger recruiting programs by preparing data, testing new tools, and handling rollout tasks, and own smaller recruiting operations projects end to end. REQUIREMENTS - 1+ year in recruiting coordination or recruiting operations, ideally at a fast-growing company. - Hands-on experience administering or configuring an applicant tracking system, not just using it (Ashby strongly preferred; Greenhouse, Lever, or Workday also relevant). - Ability to turn a hiring need into a working ATS setup (job, stages, interview plan, forms) with little direction. - Experience pulling and sharing recruiting data, such as building simple reports or keeping recurring ones up to date. - Experience building something with AI, like a prompt workflow, a custom GPT or Claude Project, or a small automation. - Strong triage judgment: you can decide what's urgent, what can wait, and when to escalate. - Highly organized and detail-oriented, and comfortable with a high volume of small requests without letting things drop. - Comfortable with spreadsheets and basic data work, such as filters, pivot tables, and spotting numbers that don't add up. - Clear, friendly written communication, especially in Slack and documentation. - Able to work from our San Francisco office Tuesday through Thursday. NICE TO HAVE - Experience training others on tools or processes. - Experience in technical or AI/ML recruiting. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

As a Product Engineer at Dropbox, you will play a pivotal role in shaping the future of collaboration and file sharing. Your responsibilities will revolve around developing and enhancing our suite of Dropbox Products to deliver exceptional user experiences.

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 Anthropic's go-to-market teams are scaling quickly, and the decisions they make, from who to sell to and how to cover them to where to invest next, are only as good as the intelligence and infrastructure underneath them. As a Data Engineer on the GTM Systems data foundations team, you'll help build that layer: the data products that give sellers, operators, and analysts a rich, current, and trusted picture of the market, and the engineering rigor that lets our GTM systems run reliably as the business grows. This is an engineering role that goes beyond pipelines. You'll treat GTM data as a product and a platform: built once, kept current, and available wherever people work. Alongside the build, you'll help shape what the data means: how attributes are defined, which sources are trusted, and how the business puts them to use. The role sits at the intersection of the sales organization, the data organization, and the systems that data flows through. You'll partner closely with Sales Strategy and Operations, Finance, Data Science, and the central data engineering team. Key responsibilities Bring disparate internal and external sources together: orchestrate, model, and normalize first-party product and revenue data alongside third-party data into one usable understanding of the company landscape Build and maintain identity and entity resolution, so every source attaches to one trusted record for each company and the relationships between companies are clear Help build the canonical layer where key attributes are defined once and mean the same thing everywhere, with clear sourcing logic, provenance, and freshness Turn data into intelligence: scores, signals, and AI-generated attributes that help GTM teams prioritize and act, held to the same quality bar as any other source Deliver that intelligence to the surfaces where teams work, including the CRM, and bring production discipline to how data moves through those systems Operate what you build as a living system, with observability, data quality, cost, security, and access controls designed in, so problems surface before the field sees them Partner with the owners of GTM processes such as planning, segmentation, and routing to settle definitions, make clear commitments, and communicate tradeoffs Make the platform easy for other teams to build on, so work is contributed once and not rebuilt in silos Minimum qualifications Experience as a data engineer or analytics engineer building and operating production pipelines and data models Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse Experience making messy data from many sources usable, including record matching, deduplication, and reconciling conflicting values Familiarity with go-to-market data and the CRM systems it flows through Judgment beyond the pipeline: weighing data sources, shaping definitions with business partners, and making calls on data quality Clear written and verbal communication with technical and non-technical partners Regular hands-on use of AI tools in your engineering work Preferred qualifications 5+ years of experience in data engineering, analytics engineering, or GTM data roles Experience building a shared data product or platform that several teams depend on and contribute to Experience with company data such as firmographics, corporate hierarchies, or master data management Experience using LLMs inside data pipelines and evaluating their output Hands-on Salesforce experience, including working at large data volumes Experience supporting GTM planning processes such as territory design, segmentation, or scoring 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: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.