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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 / UK Remote | 💰 £140,000 - £165,000 + Equity + Benefits ✨ ⭐ Our Design team We’re a team of 115+ Product Designers, User Researchers, and Brand Designers led by Chief Design Officer Vuokko Aro. We’re on a mission to make money work for everyone. Product Design is the largest discipline within the design organisation, with designers working in tight-knit squads alongside researchers, product managers, and engineers to solve real customer problems at scale. We design for the “magic moments.” We’ve built a bank that feels deeply human, not just functional, shaping how millions of people experience money every day. Our product is our personality. We combine research, empathy, and craft to turn everyday interactions into memorable experiences. Now, we’re entering our next phase of growth and looking for exceptional design leaders to help define not only Monzo’s future, but the future of banking itself. There’s significant opportunity to shape the product, influence the organisation, and leave a lasting mark on millions of customers. 🔎 About the role We’re looking for a Director of Product Design to lead design across Payments, one of Monzo’s most important and fast-evolving multi-market business areas. You’ll partner closely with senior leaders across Product and Engineering to shape strategy, set direction, and drive exceptional execution across your area. You’ll play a key role in influencing the direction of both the product and the broader customer experience. You’ll lead and grow a team of Product Designers, helping them do the best work of their careers while strengthening design thinking, collaboration, and craft across Monzo. As a senior leader within the Design organisation, you’ll raise the quality bar and expand design’s impact, influence, and effectiveness across Monzo. 🔑 You’ll play a key role by... Setting the strategic direction and design vision for your area, inspiring teams to think bigger and bolder, whilst aligning with Monzo goals and mission. Partnering with the leadership team for your area to define priorities, shape roadmaps, and turn strategy into impactful execution. Building and nurturing a high-performing design team - investing in their growth, wellbeing, and long-term success. Maintaining an exceptional quality bar across all design work through clear feedback and coaching, helping designers and teams consistently deliver best-in-class experiences. Creating an environment where feedback is open, craft is celebrated, and design quality continues to evolve across the organisation. Acting as a champion for design at Monzo, influencing how design thinking shapes our products and culture. 🤩 We’d love to hear from you if... You’ve led design strategy and vision across complex product areas, helping teams navigate ambiguity and deliver meaningful customer and business impact. You’re comfortable operating at multiple altitudes, from defining long-term direction to driving high-quality execution. You build strong partnerships across Product, Engineering, Research and Commercial, and know how to influence senior stakeholders through clarity, insight, and craft. You have a strong point of view on product design and consistently raise the bar for quality, systems thinking, and customer experience. You’ve built and led high-performing design teams, creating environments where people can grow, do exceptional work, and have meaningful impact. You know how to scale design influence across an organisation, shaping product direction, ways of working, and culture beyond your immediate team. You’re energised by Monzo’s mission to make money work for everyone, and excited to help shape the next generation of payments experiences through thoughtful, magical and innovative design. 🙌 What’s in it for you 💰 £140,000 - £165,000 + Equity + Benefits ✈️ We’ll help you relocate to the UK ✅ We can sponsor your visa 📍 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) ⏰ Flexible working hours and trust-based work culture 📚 £1,000 annual learning budget for books, training, and conferences 🏡 Full remote setup support, including equipment and workspace essentials ➕ Plus lots more! 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-TR1 #LI-Remote 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: Europe About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. Get Paid to Review Car Damage Photos — Flexible, Remote, Freelance Work Looking for a flexible way to earn extra money on the side? We're hiring freelance contractors to work on a photo review project for a leading European insurance company — and you can do it from anywhere in the EU, on your own schedule. What you'll be doing: Reviewing photos of damaged vehicles and marking the affected areas — things like scratches, dents, cracks, and missing parts — and identifying which part of the car is involved (door, bumper, hood, fender, etc.). Your work directly helps insurance customers receive faster, fairer damage assessments. Full training is provided through clear written guidelines with visual examples. This is a great fit if you have a background in: Auto insurance claims or appraisal Auto body or mechanic work Car dealership or parts experience Any field where identifying vehicle damage and parts is second nature The details: Must be based in the EU 100% remote, work at your own pace Pays roughly €11/hour Project volume is expected to be substantial, with strong potential for increased workload and extended project duration as things scale Freelance/contract work — perfect for picking up extra cash on the side

Location: Europe About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. Get Paid to Review Car Damage Photos — Flexible, Remote, Freelance Work Looking for a flexible way to earn extra money on the side? We're hiring freelance contractors to work on a photo review project for a leading European insurance company — and you can do it from anywhere in the EU, on your own schedule. What you'll be doing: Reviewing photos of damaged vehicles and marking the affected areas — things like scratches, dents, cracks, and missing parts — and identifying which part of the car is involved (door, bumper, hood, fender, etc.). Your work directly helps insurance customers receive faster, fairer damage assessments. Full training is provided through clear written guidelines with visual examples. This is a great fit if you have a background in: Auto insurance claims or appraisal Auto body or mechanic work Car dealership or parts experience Any field where identifying vehicle damage and parts is second nature The details: Must be based in the EU 100% remote, work at your own pace Pays roughly €11/hour Project volume is expected to be substantial, with strong potential for increased workload and extended project duration as things scale Freelance/contract work — perfect for picking up extra cash on the side

Location: Spain; Georgia; Serbia; Poland; Cyprus; Portugal; Armenia Workplace: remote The Project At Findev, we're building an AI-powered application modernization practice for major global financial institutions. The work: take legacy enterprise applications — monoliths, on-prem deployments, decade-old frameworks — and move them to modern platforms (Kubernetes, cloud-native, containerized). Hundreds of applications, each with its own stack, quirks, and business constraints. Most happen to be Java, but not all. AI tools (Agentic AI, LLM agents, automated analysis pipelines) are the primary instruments in this workflow. They handle volume — codebase scanning, dependency mapping, migration code generation. But the hard part isn't the code transformation. It's the decisions : what to migrate, where to migrate it, which strategy to use (rehost, replatform, refactor, rebuild), and how to sequence it without breaking production systems that handle real money. That's where you come in.

Location: Naples, FL About Snap! Mobile, Inc: Founded in 2014, Snap! Mobile is the creator of Snap! Raise, the nation’s largest and top-performing digital fundraising platform for high school and youth athletics and activities. Since its founding, Snap! Raise has helped over 150,000 schools, groups, and teams raise more than $1 billion . Snap! Mobile supports schools, teams, and organizations with Snap! Mobile One, an all-in-one app designed to simplify operations and enhance community engagement. Snap! Mobile One combines the power of Snap! Raise fundraising, fan and community engagement, event scheduling, registration, website management, messaging services, money management, and spirit wear to deliver everything administrators need to succeed in one easy-to-use app. Who we're looking for A well-connected, relationship-driven professional — coaches, teachers, athletic directors, or community leaders — who thrives on opening doors and closing deals. If you love the front end of sales and have a strong local network, this role was built for you. Got a day job, a coaching gig, or a packed schedule? No problem. This is designed to work around your life. This is not a remote position. Applicants must currently reside within the assigned territory to be considered. The opportunity You'll be boots on the ground, building partnerships with schools, sports teams, programs, and community organizations in your area — on your schedule. Your focus is to prospect, connect, and close — then hand off to an Account Manager who handles everything after. No backend admin, no long-term account management. Just pure relationship-driven sales with people you likely already know. Perfect as a side hustle, a part-time gig, or a way to monetize the network you've already built. What you'll do Tap into your existing local network toidentifyand engage potential partners Conduct in-person meetings, presentations, and demos — when it works for you Close new partnerships and hand off seamlessly to your Account Manager What you bring Current residency within the assigned territory (required— non-local applicants will not be considered) Strong local community ties and existing relationships Self-starter mentality with solid communication skills Comfort in a 100% commission, performance-driven environment Reliable transportation and a valid driver's license Ability to pass a background check, including driving record What you'll earn Uncapped commission — no ceiling on your earnings, no matter how many hours you put in The details Flexible contract (1099) — make your own schedule; designed to work as a side hustle or part-time gig One-quarterinitialcommitment with opportunity to extend No base salary, benefits, or paid leave CA Residents click here for privacy policy We use E-verify to onboard new hires. Please click here to learn more.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. The Opportunity As a Sr Software Engineer on our Distributed Systems team, you'll be at the core of what makes Fanatics Markets work — the event-driven infrastructure that powers real-money trading at scale. This is a role for an engineer who moves fluidly between hands-on coding and architectural influence: someone who can design a system that handles massive traffic spikes during live events, then roll up their sleeves and build it. You'll work alongside some of the most experienced distributed systems engineers in the industry, owning meaningful technical decisions and directly shaping how the platform scales over the next several years. If you thrive at the intersection of high-throughput systems, low-latency design, and technical leadership — this is your seat Responsibilities Design, build, and scale distributed systems using Kotlin, Java, and Spring Boot, architecting for the traffic spikes and concurrency demands of a live real-money trading platform. Own the development and optimization of high-throughput event pipelines using Kafka, including partition strategy, consumer group design, and exactly-once processing guarantees. Build and tune low-latency data layers across Postgres, Redis, and Redis PubSub — ensuring data integrity, cache coherence, and sub-millisecond read paths under peak load. Implement and enforce resilience patterns across services — backpressure handling, circuit breaking, idempotent retry logic, and graceful degradation under failure conditions. Contribute to real-time user-facing systems, solving the fan-out problem for live market updates across tens of thousands of concurrent sessions. Partner with product and engineering leadership to align technical execution with business priorities — contributing to build vs. buy decisions and long-term platform strategy. Set and uphold engineering standards for observability, schema evolution, testing practices, and deployment patterns across the team — through code reviews, RFCs, and technical documentation. Mentor and actively develop junior and mid-level engineers, raising the technical floor of the team through pairing, design reviews, and direct feedback. Qualifications 5+ years of software engineering experience with a primary focus on distributed systems and high-concurrency production environments. Expert-level proficiency in Java or Kotlin and Spring Boot, with a strong command of modern API design — REST, gRPC, and Protobuf. Deep hands-on experience with Kafka (or Redpanda/Pub Sub) — including internal mechanics, partition strategies, consumer group rebalancing, and delivery guarantees. Proven ability to diagnose and resolve bottlenecks in asynchronous messaging systems and implement patterns like idempotency, distributed caching, and exactly-once processing. Hands-on experience with Kubernetes, Helm, Terraform, and cloud-native infrastructure on AWS. Strong instincts for production reliability — you've been on-call, triaged distributed system failures under pressure, and shipped durable fixes. Demonstrated ability to influence technical direction across teams and guide engineers through complex architectural decisions without direct authority. Track record of defining success metrics upfront — SLAs, latency budgets, throughput targets — and holding systems accountable to them in production. Preferred Experience with real-time delivery systems — WebSocket fan-out, server-sent events, or pub/sub at scale. Familiarity with financial platforms, real-time trading systems, or prediction markets. Experience in a high-growth startup environment where ownership is broad and the technical landscape evolves quickly. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-Remote #LI-AL1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $152,000 — $200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Fort Myers, FL About Snap! Mobile, Inc: Founded in 2014, Snap! Mobile is the creator of Snap! Raise, the nation’s largest and top-performing digital fundraising platform for high school and youth athletics and activities. Since its founding, Snap! Raise has helped over 150,000 schools, groups, and teams raise more than $1 billion . Snap! Mobile supports schools, teams, and organizations with Snap! Mobile One, an all-in-one app designed to simplify operations and enhance community engagement. Snap! Mobile One combines the power of Snap! Raise fundraising, fan and community engagement, event scheduling, registration, website management, messaging services, money management, and spirit wear to deliver everything administrators need to succeed in one easy-to-use app. Who we're looking for A well-connected, relationship-driven professional — coaches, teachers, athletic directors, or community leaders — who thrives on opening doors and closing deals. If you love the front end of sales and have a strong local network, this role was built for you. Got a day job, a coaching gig, or a packed schedule? No problem. This is designed to work around your life. This is not a remote position. Applicants must currently reside within the assigned territory to be considered. The opportunity You'll be boots on the ground, building partnerships with schools, sports teams, programs, and community organizations in your area — on your schedule. Your focus is to prospect, connect, and close — then hand off to an Account Manager who handles everything after. No backend admin, no long-term account management. Just pure relationship-driven sales with people you likely already know. Perfect as a side hustle, a part-time gig, or a way to monetize the network you've already built. What you'll do Tap into your existing local network toidentifyand engage potential partners Conduct in-person meetings, presentations, and demos — when it works for you Close new partnerships and hand off seamlessly to your Account Manager What you bring Current residency within the assigned territory (required— non-local applicants will not be considered) Strong local community ties and existing relationships Self-starter mentality with solid communication skills Comfort in a 100% commission, performance-driven environment Reliable transportation and a valid driver's license Ability to pass a background check, including driving record What you'll earn Uncapped commission — no ceiling on your earnings, no matter how many hours you put in The details Flexible contract (1099) — make your own schedule; designed to work as a side hustle or part-time gig One-quarterinitialcommitment with opportunity to extend No base salary, benefits, or paid leave CA Residents click here for privacy policy We use E-verify to onboard new hires. Please click here to learn more.

Location: Tallahassee, FL About Snap! Mobile, Inc: Founded in 2014, Snap! Mobile is the creator of Snap! Raise, the nation’s largest and top-performing digital fundraising platform for high school and youth athletics and activities. Since its founding, Snap! Raise has helped over 150,000 schools, groups, and teams raise more than $1 billion . Snap! Mobile supports schools, teams, and organizations with Snap! Mobile One, an all-in-one app designed to simplify operations and enhance community engagement. Snap! Mobile One combines the power of Snap! Raise fundraising, fan and community engagement, event scheduling, registration, website management, messaging services, money management, and spirit wear to deliver everything administrators need to succeed in one easy-to-use app. Who we're looking for A well-connected, relationship-driven professional — coaches, teachers, athletic directors, or community leaders — who thrives on opening doors and closing deals. If you love the front end of sales and have a strong local network, this role was built for you. Got a day job, a coaching gig, or a packed schedule? No problem. This is designed to work around your life. This is not a remote position. Applicants must currently reside within the assigned territory to be considered. The opportunity You'll be boots on the ground, building partnerships with schools, sports teams, programs, and community organizations in your area — on your schedule. Your focus is to prospect, connect, and close — then hand off to an Account Manager who handles everything after. No backend admin, no long-term account management. Just pure relationship-driven sales with people you likely already know. Perfect as a side hustle, a part-time gig, or a way to monetize the network you've already built. For top performers, this role can also serve as a pathway to a full-time position with Snap! Mobile, based on performance, company needs, and business demand. What you'll do Tap into your existing local network to identify and engage potential partners Conduct in-person meetings, presentations, and demos — when it works for you Close new partnerships and hand off seamlessly to your Account Manager What you bring Current residency within the assigned territory (required — non-local applicants will not be considered) Strong local community ties and existing relationships Self-starter mentality with solid communication skills Comfort in a 100% commission, performance-driven environment Reliable transportation and a valid driver's license Ability to pass a background check, including driving record What you'll earn Uncapped commission — no ceiling on your earnings, no matter how many hours you put in. The details Flexible contract (1099) — make your own schedule; designed to work as a side hustle or part-time gig One-quarter initial commitment with opportunity to extend Potential path to full-time employment for high-performing reps, contingent on business needs and performance metrics No base salary, benefits, or paid leave (while in 1099 status) CA Residents click here for privacy policy We use E-verify to onboard new hires. Please click here to learn more.

Location: United Kingdom Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. So you’re interested in becoming a Director in Client Planning? Let's dive into what that means: You are pivotal to leading the client day to day. As Director, Client Planning you run the media approach, ensure brilliant delivery and performance, and bring the Brainlabs proposition to life for clients. You are the primary strategic adviser on your accounts — the conductor who keeps every moving part aligned and accountable. In this role you will: Owns the annual and quarterly media plan. Decides budget allocation across channels based on performance data. Acts as the conductor of the client. Briefs practice teams and ensures their outputs ladder up to your central strategy. Accountable for overall client performance across all practices and KPIs. Ensures d2d client interactions with Brainlabs are excellent, and that practice interactions feel like a single, unified team. The primary day-to-day strategic advisor to the client. Translates the Strategy Framework into media reality, partnering with Strategy and Data Directors. Responsible for both the floor (delivery standards) and the ceiling (innovation and intention), leveraging technology to deliver both at scale. Manages scope delivery, ensures the team is neither over nor under servicing, and supports pitching for new business. Leads and co-ordinates the innovation and testing agenda for their clients. We’re looking for someone who: 8+ years' experience delivering full-service media solutions to clients within a vertical specialism. Proven client leadership skills - a trusted adviser to multiple senior stakeholders. Strong knowledge of how marketing and cross-media channels directly drive client KPIs. A great storyteller and presenter with proven pitch experience. A natural problem solver who translates client challenges into real media solutions. Understanding of how end-to-end full-service media agencies deliver integrated solutions. Organised and proactive - adept at using tech and process to run your team effectively. And this is what success looks like in the role: You will live our culture code every day! You’ll become an indispensable trusted, strategic adviser to your client stakeholders. Award wins for your client solutions Minimum 7+ TRR scores or CSAT Internal profitability metric hit such as DLM, revenue targets A growing portfolio of revenue across your client or portfolio of clients Evidence of broad revenue sources for your client via multiple Brainlabs products Increasing profile in the media world in your sector/marketing prompting Brainlabs and your client success Be revenue hungry and pitch successfully Make your client stakeholders famous and successful! What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! For details regarding our data processing activities, please refer to our Candidate Privacy Notice Protect Yourself from Job Scams: We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to security@brainlabsdigital.com . We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.

Location: WorldWide We are looking for a Junior / Junior+ Data Analyst to join our Core Banking Systems team. Our team makes sure that every transaction processed by our banking products is correctly reflected in the accounting system. We work across two markets — Mexico and Colombia — and sit at the intersection of product, technology, data, and finance. This is a great opportunity for someone at the beginning of their career who wants to work with real banking products, production data, and real money from day one. You’ll start by investigating specific reconciliation cases and gradually move towards owning more complex and systematic problems — with plenty of room to grow along the way. You’ll get exposure to a part of fintech that is usually hidden behind the scenes — the systems that make sure the numbers actually add up. Challenges that await you: Reconcile data between the product engine and accounting systems, identify discrepancies, and investigate their root causes Build and maintain dashboards and reports using DWH data Improve and standardise reconciliation processes , making them more reliable and scalable Investigate non-standard product and financial cases together with System Analysts and other teams Work with production data and gain a deep understanding of how banking transactions move through our systems Turn complex financial and technical problems into clear, structured solutions What makes you a great fit: A mathematical or technical degree from a top university such as MSU, MIPT, HSE, MSTU, MEPhI, or NSE Strong knowledge of mathematical statistics, probability theory, and systematic thinking Strong SQL skills Attention to detail and a willingness to dive deep into complex cases Ability to work systematically and investigate problems until you understand their root cause English sufficient for reading technical documentation Genuine interest in fintech, banking, and financial products Comfortable working with large datasets and asking the right questions Would be a plus: Experience with Airflow & Streamlit Experience with columnar databases Experience building or working with AI agents for coding and automation Our ways of working: Innovative Spirit: a team from the best technical universities Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances Our benefits: Relocation support to Georgia with assistance for the employee and their family Flexible work from one of our offices Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: Annual leave and paid sick leave as per applicable policies

Location: Metro Manila; Armenia; Kazakhstan; Georgia Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: This role requires relocation to Manila. We work in a hybrid format from our office in Bonifacio Global City (BGC). You'll own ML models across credit scoring, collection, and antifraud, turning data into systems that directly shape how Salmon lends and collects at scale. What you'll do: - You'll build and ship ML models across credit scoring, collection, antifraud, and sales — high-stakes, high-visibility work from day one. - You’ll work with teams across the business, including Risk, Anti-fraud, and Cross-sell - You'll take models from idea to production, then keep monitoring and improving them as real data comes in. What you'll own: - Own the end-to-end lifecycle of ML models — EDA, feature generation, hypothesis testing, production deployment, and monitoring. - Partner with Collection and Product to identify where a new or improved model would have the most leverage. - Evaluate model performance against business impact, and iterate based on what you find. - Explore and integrate new data sources, internal and external, to surface additional predictive signals. - Build models that are scalable, observable, and maintainable in production systems. What makes you a strong fit: - 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments. - Solid foundation in classical ML techniques, fluent in Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, and gradient boosting libraries (XGBoost, LightGBM, CatBoost). - Strong Python and SQL, with experience using version control. - A strong sense of ownership and accountability. - Experience with graph neural networks or transformer models would be a plus. What we offer: Ownership and flexibility - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia

Location: Poland Company Background Our client is a fast-growing, multinational company in the sports tech and predictive gaming space, backed by leading investors and founders. The company operates fully remotely, with business operations in the U.S. and development teams across Europe. They foster a close-knit, respectful, and collaborative culture, placing strong emphasis on innovation, inclusivity, and user experience. The platform introduces a new approach to sports predictions by focusing on social engagement and entertainment, creating a community-driven experience that is fun, rewarding, and accessible to all sports fans. Project Description The project is a social sports gaming platform that offers free-to-play alternatives to traditional real-money sports betting. It allows sports fans to make predictions, compete for leaderboard positions, earn badges, build in-game status, and participate in sweepstakes promotions and loyalty rewards. The platform focuses on creating a fun, engaging, and community-driven sports gaming experience for users with different levels of interest in sports. Technologies Python, Django/FastAPI, asyncio Distributed systems, Microservices, Event-driven architecture Apache Kafka Docker, AWS (or other cloud providers) SQL, PostgreSQL CI/CD, Test automation Prometheus, Grafana What You'll Do Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement; Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django; Architect distributed systems to support millions of users with low latency and high availability; Own critical backend infrastructure components, including APIs, data pipelines, message brokers such as Kafka, and caching; Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load; Implement robust testing strategies, including unit, integration, and performance tests; Drive continuous improvement of development processes and system observability, including monitoring and logging; Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines; Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing; Job Requirements 5+ years of experience in Python backend development; Solid experience with Django/FastApi and asynchronous programming using asyncio; Production experience with Apache Kafka; Strong experience with distributed systems, microservices, or similar architecture; Experience deploying and managing containerized applications using Docker; Familiarity with any cloud provider, preferably AWS; Proficiency with SQL databases, especially PostgreSQL; Experience with CI/CD pipelines and test automation; Knowledge of monitoring and logging tools such as Prometheus, Grafana, or equivalent; Strong problem-solving skills and experience with code reviews; Comfortable working in Agile teams; English level: B2 or higher; Nice To Have Experience with Kubernetes; Experience working with systems supporting 1M+ users; Experience with NoSQL databases; Exposure to event sourcing or CQRS patterns; Familiarity with frontend technologies such as React; Knowledge of big data tools such as Flink or NiFi; Exposure to infrastructure as code tools such as Terraform; Experience in the sports or betting industries; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

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 bring experience from high-bar teams and are eager to help shape the 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. You’ll be the senior data science leader embedded in our Developer Platform product team and a strategic thought partner to its product leads. You’ll help set product direction for the Claude Developer Platform, spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You’ll bring a point of view on where to invest, how to grow our platform business, and how to deliver more value for the developers and enterprises building on Claude. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions. Responsibilities: Act as a strategic thought partner to Developer Platform product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Developer Platform, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing the platform, from how developers and enterprises adopt it to how AI agents are being built and deployed at scale, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Developer Platform measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters Set the standard for experimentation and causal inference across Developer Platform, including where API and B2B products make clean experiments hard, and personally lead the highest-stakes analyses Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners, including go-to-market teams Establish foundational data practices and shape the analytics infrastructure Developer Platform needs to support rapid iteration and decision-making as our products grow You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product area at significant scale Have 3+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product and business leaders on API or developer-facing products, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment for developer and B2B products, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: 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: $460,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Beograd, Serbia Workplace: hybrid About The Role: Join Paysend’s Automation and Efficiency team to help build and improve backend systems that support global payment operations at scale. This role focuses on designing and developing high-performance backend services and internal tooling used to process and analyze millions of financial transactions daily. You’ll work across distributed systems and data-heavy workflows where reliability, performance, and correctness are critical. This is a strong fit for engineers who enjoy solving complex backend and data problems, working across multiple services, and building systems that operate under real-world scale and operational demands. What You'll Do (Responsibilities): Design, implement, and maintain backend services and internal tools in Java, powering the processing and analysis of millions of financial transactions daily Own and evolve PostgreSQL -based data models, queries, and performance optimization across multiple services. Build and improve systems that automate operational and transaction-monitoring workflows at scale Work within a distributed microservices ecosystem, handling service communication, dependencies, and evolving integrations Contribute to the design and implementation of a new fraud monitoring platform built on the company’s modern technology stack Investigate complex production and operational issues, identify bottlenecks, and implement long-term improvements Collaborate closely with QA and Analytics teams to ensure systems are reliable, scalable, and operationally effective Monitor and improve system performance, observability, reliability, and scalability across services Contribute to CI/CD and deployment automation improvements across engineering workflows What You’ll Need To Be Successful In This Role: 5+ years of backend development experience with Java and Spring Strong hands-on experience with PostgreSQL in production systems Experience working with distributed systems and microservices architectures Experience with major cloud platforms, preferably AWS or GCP Strong engineering mindset with the ability to solve unfamiliar and complex technical problems independently Comfortable working across multiple services and technical domains Strong ownership mentality from implementation through deployment and operational support Ability to adapt quickly to changing technical and business priorities Great to have: Experience with CI/CD pipelines and deployment automation (GitLab preferred) Experience with Docker or other containerization technologies Hands-on experience with C# or Rust Experience in fintech, payments, fraud detection, or other transaction-heavy systems Bachelor’s or Master’s degree in Computer Science or a related field Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: Global | Remote; Argentina (Remote); Poland (Remote); Mexico (Remote); Taiwan (Remote); United Arab Emirates (remote) Workplace: Remote Location: Global: Europe, Asia-Pac, Argentina, Mexico Department: Production (Applied AI) Reports to: Program Director Rate: $20 per hour We are looking for a data-driven Project Managers to lead our large-scale multilingual data collection and Large Language Model (LLM) evaluation initiatives. In this role, you will be the operational backbone of our AI development, orchestrating global teams of annotators and data specialists. If you thrive in a fast-paced environment where you can optimize workflows for productivity, quality, and throughput, we want to hear from you KEY RESPONSIBILITIES 1. PROJECT MANAGEMENT - End-to-End Delivery: Manage the full lifecycle of AI data projects, from scoping and guidelines creation to data delivery and post-mortem analysis. - Pipeline Management: Oversee large-scale data pipelines for multilingual data collection (audio, text, image) and LLM evaluation (RLHF, SFT, ranking, and safety testing). 2. QUALITY ASSURANCE & PERFORMANCE MONITORING - KPI Tracking: rigorously monitor and report on key performance indicators, including: - Throughput: Volume of data processed per hour/day. - Quality: Accuracy scores, Inter-Annotator Agreement (IAA), and gold-set performance. - Productivity: Cost-per-task and worker efficiency rates. - Quality Control: Run QA loops, root-cause analysis for quality dips, and corrective training for annotator pools. - Dashboards: Maintain dashboards to visualize project health and flag bottlenecks in real-time. 3. STAKEHOLDER MANAGEMENT - Global Coordination: Manage relationships with data experts and crowd pools, ensuring adherence to SLAs regarding localized nuances and linguistic accuracy. - Cross-Functional Collaboration: Liaise with Applied AI Technical Ops teams. Translate technical requirements into clear, actionable guidelines for non-technical annotators. - Feedback Loops: Facilitate continuous feedback loops where data insights drive updates to annotation guidelines and model fine-tuning strategies. QUALIFICATIONS ESSENTIAL SKILLS & EXPERIENCE - Experience: 3-5+ years of project management experience, specifically within AI/ML data operations. - LLM Knowledge: Strong understanding of LLM training processes (Pre-training, SFT, RLHF) and evaluation methodologies (Human-in-the-loop, red teaming). - Data Proficiency: Advanced proficiency in Excel/Google Sheets; ability to write SQL queries to extract and analyze performance data. - Methodology: Proven track record using Agile, Scrum, or Kanban methodologies to manage complex workflows. - Communication: Exceptional ability to write clear, unambiguous guidelines for multilingual audiences. PREFERRED QUALIFICATIONS (NICE TO HAVES) - Multilingual: Fluency in a second language is highly desirable. - Technical Tools: Experience with data annotation platforms (e.g. Scale AI, Super Annotate) and project management tools (e.g. Jira). - Education: Background in ML Engineering, Computer Science, Data Science and Project Management training. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts — embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed — and ensure the right internal teams are engaged when needed. Responsibilities Serve as the named technical support contact for a defined book of strategic enterprise accounts, embedded in customer channels and joining recurring account cadences as the support voice Own your customers' technical support needs end to end — investigate, diagnose, and resolve complex issues directly, and partner with internal Engineering and Product teams to drive resolution when needed Build deep, durable context on each customer's architecture, integrations, and use cases so you can respond with nuance rather than from a script Partner closely with the Customer Success Manager, Account Executive, and Applied AI team on each account as part of a single, coordinated account team Capture technical feedback and product friction from your accounts and route it to Product with the impact data and detail needed to prioritize it correctly Manage high-urgency issues for your accounts with extreme ownership, and coordinate cleanly with the broader Product Support team for continuous coverage Help build the foundations of the Support Engineer function — runbooks, escalation paths, tooling, and the metrics we'll use to measure its value Become an expert in all Anthropic products across the API, Claude for Enterprise, and Claude Code You may be a good fit if you Have 5+ years in technical product support, with meaningful time in an escalated, priority, or named-account support team for enterprise customers Have been the person an enterprise customer knows by name and reaches for first when they need technical help Are deeply fluent with APIs and technical SaaS products, and can read technical documentation, error logs, and request traces with ease Have hands-on experience troubleshooting SSO, SAML, OAuth, and enterprise authentication flows Are persistent and curious — you delight in the hunt of tracking down a bug, and are energized by fixing it for every similar user going forward Possess strong user empathy and crisp, kind written communication; you can translate between a frustrated customer engineer and an internal platform team without losing either Are comfortable operating in ambiguity, making informed decisions in never-before-seen situations, and knowing when to pull the escalation cord Enjoy building trust and collaborating closely with go-to-market partners (Sales, CS, Applied AI) without owning the commercial relationship yourself Have contributed to the foundations of a support team before — the essential, often unglamorous work of writing the first runbook Are excited about Anthropic's products and the opportunity to shape how the world's largest companies get support for them Strong candidates may also have SQL proficiency for querying logs and usage data to investigate issues Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript) Understanding of LLM capabilities, prompt engineering patterns, and current limitations Familiarity with enterprise networking concepts, cloud infrastructure (AWS, GCP), and IT environments Experience working inside a customer's shared Slack or similar embedded-support model Background as a Technical Account Manager, Support Engineer, or Designated/Premier Support contact at a developer-platform or infrastructure company 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: $210,000 — $250,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic’s Research Tools team builds systems that support our large-scale, distributed finetuning runs and improve the productivity of researchers. As a manager, you’ll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances. Our Research Tooling sits at the intersection of almost every technical group at Anthropic. You’ll work with research teams to incorporate their innovations into our production finetuning pipeline, product teams to help us iterate quickly on customer-oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible. About Anthropic: Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities: Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs. Design processes (e.g., postmortem review, incident response, on-call rotations) that help the team operate effectively. Coach and support your reports to understand and pursue their professional growth. Run the team’s recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth. You may be a good fit if you: Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well. Are an experienced manager (at least 2 years) and actively enjoy people management. Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level) to be effective. Strong candidates may also have: Experience working with research teams, especially as part of a “research to production” pipeline Strong people management experience: Coaching, performance evaluation, mentorship, career development Strong project management skills: Prioritization, communicating across team/org boundaries Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Europe About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. Get Paid to Review Car Damage Photos — Flexible, Remote, Freelance Work Looking for a flexible way to earn extra money on the side? We're hiring freelance contractors to work on a photo review project for a leading European insurance company — and you can do it from anywhere in the EU, on your own schedule. What you'll be doing: Reviewing photos of damaged vehicles and marking the affected areas — things like scratches, dents, cracks, and missing parts — and identifying which part of the car is involved (door, bumper, hood, fender, etc.). Your work directly helps insurance customers receive faster, fairer damage assessments. Full training is provided through clear written guidelines with visual examples. This is a great fit if you have a background in: Auto insurance claims or appraisal Auto body or mechanic work Car dealership or parts experience Any field where identifying vehicle damage and parts is second nature The details: Must be based in the EU 100% remote, work at your own pace Pays roughly €11/hour Project volume is expected to be substantial, with strong potential for increased workload and extended project duration as things scale Freelance/contract work — perfect for picking up extra cash on the side