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Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business. Figma is uniquely positioned to harness advances in AI while keeping people at the heart of creative product development. As part of our Data Science team, you'll help address the most pressing challenges emerging from AI-driven development, shape next-generation data science workflows, and build AI-powered tools used by millions of product teams around the world. The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You'll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions Build models and analytical frameworks to support product, marketing, platform, or finance initiatives Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously Own complex data projects end-to-end, from framing the business question through to shipping a solution stakeholders act on Champion data quality, accessibility, and the democratization of data across the organization Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact We'd love to hear from you if you have: 4+ years of experience in Analytics, Data Science, or a related field Fluency in SQL and proficiency in a scripting language like Python or R, along with experience working with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark) Strong foundation in statistical methods, experimentation, and/or forecasting A track record of working cross-functionally and communicating effectively with both technical and non-technical partners Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams While it's not required, it's an added plus if you also have: Comfortable defining your own priorities and adapting quickly as priorities shift At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $348,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Remote Workplace: remote At Offchain, we aren’t just building products: we’re leading a movement.    As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.    At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.    Why Offchain?   Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.   Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.   Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.   To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly. The Role As a Senior Security Engineer at Offchain, you will emulate the real-world tactics, techniques, and procedures of sophisticated adversaries to surface vulnerabilities across our infrastructure and ecosystem tools. You’ll run hands-on penetration tests, lead red team exercises, and work side-by-side with blue team partners to test, refine, and strengthen detection and response capabilities. Your efforts will directly shape how Offchain designs, launches, protects, and achieves compliance for the infrastructure that powers millions of users and applications - including key standards such as SOC 2. What you'll do: Conduct comprehensive code audits across a variety of internal applications and infrastructure. Conduct comprehensive penetration tests across cloud environments (AWS), infrastructure, and backend applications. Collaborate with detection engineering, threat intelligence, and incident response groups to review security controls, uncover coverage gaps, and enhance overall detection quality. Build, maintain, and evolve custom offensive tools, scripts, and automation frameworks to increase assessment speed. Offer offensive security expertise during incident investigations, including log analysis and root cause reviews. Keep up with evolving threats, vulnerabilities, and attack methods; share research internally and engage with the wider security community. Own offensive security projects from start to finish, mentor junior team members, and cultivate a culture of ongoing learning and knowledge exchange. What you'll need: 5+ years of experience in offensive security, penetration testing, red teaming, or a closely related field. Extensive experience with conducting code audits to identify and remediate security issues. Experience with binary exploitation. Mastery of AWS & specific attack techniques and configuration weaknesses. Strong understanding of adversary tactics and frameworks like MITRE ATT&CK. In-depth knowledge of web application security, including OWASP Top 10, ASVS, and common vulnerability categories. Proficiency using offensive security tools such as Burp Suite, nuclei and similar frameworks. Strong programming skills in Python, Go, or similar languages, with proven experience developing tools or automation. Excellent written and verbal communication skills, with the ability to present complex technical details as clear, risk-focused recommendations. A natural ability to think like an attacker - creative, determined, and skilled at assessing risk across complex systems. Nice-to-haves Web3 / blockchain security exposure: smart contract auditing, bug bounty hunting (e.g., Immunefi, Code4rena), or DeFi protocol review. Familiarity with Ethereum L1 / L2 node architecture and security risks. Experience in blockchain infrastructure penetration testing. Perks: Remote-first global workforce + NY office Professional reimbursement program (facilitates industry conference attendance, certifications, and more) Medical, dental & vision coverage (US + some other countries) 401k retirement plan + company match (US only) Wellness stipend Home office set up / ergonomic equipment program

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Our stack is Python/Flask, React, React Native, PostgreSQL. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. WHICH AREA WILL YOU JOIN ? By applying to this role, you’ll be considered for three different areas. Throughout the hiring process, we’ll discuss your experience, strengths, and interests, alongside our current hiring needs, to determine which area would be the best fit for you and where you could have the greatest impact. We’ll share this with you before the final stage of the process. - Claims Management: We refund €350M+ in healthcare expenses every year to 1M+ members across France, Belgium, Spain, and Canada. Our mission is to pay each member the right amount, as quickly as possible, while staying cost-effective for Alan. We have built the entire claims chain in-house, from LLM-powered parsing of 2.5M documents per year https://medium.com/alan/how-we-reached-70-document-processing-automation-at-alan-674bc80f3ef3 and a global coverage engine that determines how much each member should receive, to payment infrastructure, fraud prevention https://www.linkedin.com/pulse/chaque-euro-fraud%C3%A9-%C3%A0-lassurance-sant%C3%A9-cest-un-de-moins-martos-ssxae/, and the member experience across mobile and web https://medium.com/alan/universalisation-at-alan-how-we-stopped-building-everything-twice-7feb8d88a4a8. You’ll work on deep systems that must be reliable 24/7 and operate at scale, where every improvement has a direct impact on a member’s bank account. - Insurance Offer: We build the infrastructure that protects 1M+ people across four countries. Our mission is to make insurance simpler, more scalable, and more effective for our members and customers. You’ll work on real-time pricing, AI-powered tools that empower Sales, and Alan’s next-generation global insurance stack. More information here https://medium.com/alan/how-we-refactored-one-of-our-most-used-data-models-33cadaf31313 and here https://medium.com/alan/one-stack-for-every-country-and-product-inside-alans-core-stack-e87a127efa12. - Customer Enablement: We run the engine behind every company that joins Alan. We bill 40K+ companies across four countries, affiliate their employees, and keep payroll and employment data accurate for 1M+ members. Our mission is to build the shared infrastructure that enables other Alan services to operate reliably and efficiently. You’ll work on a multi-country billing and invoicing platform, affiliation and employment systems that determine who is covered and from when, reconciliation tooling that identifies coverage and billing mismatches, and the APIs used by other teams to build their services. These are systems where correctness is non-negotiable: a wrong invoice or a missed affiliation can be visible to a company within the same week. ⭐ IS IT YOU WE’RE LOOKING FOR? We are looking for engineers with 3+ years of experience to help us scale our Engineering community from different perspectives (product, tech, and internal organization-wise): - You’ll be able to tackle high-impact & high-risk projects involving many engineers. - You’ll design efficient systems and engineering practices to align with and facilitate interactions between multiple teams/products. - You’ll have the opportunity to mentor other engineers & lead crews (more details in this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan). - You’ll be able to contribute to hiring your future coworkers and shape candidates’ hiring experience (improving our technical assessment process etc...) You would be a good fit at Alan if most of this sounds like you: - Well-versed in Object Oriented Programming such as Python, Java, C#, and enthusiastic about web technologies such as modern Javascript. - Willing to work in Python/JavaScript (but you don’t need to have experience with those 2 languages!). - Passionate about building products. - Self-starting and entrepreneurial. - Humble and still willing to grow (no matter your seniority!). - Collaborative, enthusiastic about teamwork, learning, and teaching. - Fluent in English (no need to speak French!). For this opportunity, we are aiming to hire within the C-F level range. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. If you identify as a woman and do not meet every requirement, we would still love to hear from you. Research suggests that women can be more selective than men when deciding whether to apply, so please do not self-select out. 🙌 PERKS & BENEFITS - Fair rewards & equity packages. - Flexible office & remote options. - Top-tier equipment: MacBook Pro, monitor, noise-canceling headphones. - Flexible vacation & hours. - Comprehensive healthcare for you, children, and partners. - Transport support and coaching for personal growth. - Training budget for conferences, courses, books. - Extended parental leave for all parents.   🔄 RECRUITMENT NOTE 🌟 We hire people, not roles. Don’t worry if you don’t check every box - high potential and curiosity matter most. We may even suggest another team if we see a better fit. To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 !   🔖 Learn more About Alan https://alan.com/about and on our Career https://alan.com/careers pages, Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm. 🔄 A quick note about the process Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Dublin, IE 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: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments.  We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Strong candidates may also have experience with: High-performance, large-scale distributed systems Implementing and deploying machine learning systems at scale Load balancing, request routing, or traffic management systems LLM inference optimization, batching, and caching strategies Kubernetes and cloud infrastructure (AWS, GCP) Python or Rust You may be a good fit if you: Have significant software engineering experience, particularly with distributed systems Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Want to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Representative projects across the org: Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage Contributing to new inference features (e.g., structured sampling, prompt caching) Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers 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: €235.000 — €295.000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. You must be based in one of the countries on this list and must overlap with East Africa Time and US Eastern Time (8am-6pm) by at least 3 hours. As an example, 6PM East Africa Time is 11AM US Eastern time in the summer and 10AM in the winter. In practice, if you are in the Eastern US timezone, that means being regularly available for 8AM meetings and some 7AM ones. We know people have commitments like school drop-offs, so you’re encouraged to set a schedule that works for you—as long as there’s sufficient overlap with the team. We are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. About this role Technology plays a central role in how GiveDirectly delivers cash—whether that’s identifying recipients in hard-to-reach places, sending payments quickly after disasters, or powering the platforms our donors use to give. We’re hiring a Senior Software Engineer to help build the systems behind this work. Our engineering team still operates like a startup within GiveDirectly—lean, fast-moving, and high-autonomy. You’ll lean into product thinking, help shape the roadmap, and collaborate closely across disciplines to solve real-world problems. The specific team you’ll join is still being finalized—it could be: Our Programs Engineering team (getting cash in the hands of people experiencing extreme poverty), Our Fundraising Engineering team (raising more money for recipients), or Our International Rapid Response team (getting cash to disaster-affected communities within 5 days of a crisis—anywhere in the world) No matter the team, you’ll play a central role in scaling our impact: getting more money, to more people, more efficiently. This is a hands-on role with real ownership. You’ll help shape architecture, ship production-ready code, and work side-by-side with teammates across product, data, and operations. We’re looking for someone excited to wear multiple hats, move quickly, and define what great engineering looks like in a mission-driven org Level: Senior Software Engineer Travel Requirement: Must be able to travel ~1-2 times per year to one of our countries of operation for team retreats or field visits. What you’ll do: Design and build scalable, reliable systems that power our core operations—whether that’s donor platforms, systems that deliver payments directly to recipients, or crisis response tools reaching hundreds of thousands of people globally. Own end-to-end development of new features and services, from architecture through deployment and monitoring. Improve our developer workflows by strengthening CI/CD pipelines, reducing manual steps, and increasing test coverage. Collaborate with cross-functional teams (product, ops, data) to understand real-world needs and ship tools that directly support program delivery in the field. Debug and resolve production issues across our stack, with a focus on root cause analysis and long-term fixes. Advocate for sustainable engineering practices, including testing, documentation, and monitoring Help shape our tech roadmap with an eye toward scale, maintainability, and recipient experience What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Language Requirement: English 4+ years of industry experience creating production-caliber software and systems Experience with backend architecture: databases, cloud services, APIs Experience building infrastructure to deploy software Experience with strongly-typed, object-oriented programming such as Java, C#, Go, etc. and scripting languages such as Python, Ruby, etc. High degree of ownership and autonomy - you proactively advocate for ways to improve systems and constantly leave our codebase in a better state than you found it Strong analytical skills and communication - able to break down complex problems, describe technical trade-offs, and collaborate with cross-functional partners (e.g. technical program managers, product managers) Bonus: Experience using Python and AWS in a production environment Bonus: experience with payments/financial software and/or experience with microservice/serverless architecture Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United States Base Salary: $181,130 Bonus at Target Performance: 15% (~$27,170, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$31,789 in 2025) Estimated Total Compensation at Target: $208,300+ Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £124,370 Bonus at Target Performance: 15% (~£18,656, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~£21,827 in 2025) Estimated Total Compensation at Target: £143,026+ Annual Benefits Stipend: £2,760 Kenya Base Salary: $112,350 Bonus at Target Performance: 15% (~$16,853, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$19,717 in 2025) Estimated Total Compensation at Target: $129,203+ Annual Benefits Stipend: $8,453 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A positive and supportive team with opportunities for advancement A demonstrated commitment to helping all staff develop and grow A competitive salary, including bonus A robust health benefits plan (exact details will vary by country) Unlimited PTO (that we encourage staff to take!) Desk allowance and flexible work location About this specific hiring process Take-home coding assignment Live Coding (60 mins) Systems Design (60 mins) Project Deep Dive + Behavioral (60 mins) *It’s possible that there will be adjustments to this interview process. Any changes will be communicated to you during the process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent. We lead an effective hiring ecosystem to deliver talent acquisition excellence. We leverage data to enable evidence-based decisions, weaving behavioural science through our selection process, working closely with our Hiring Leadership team who drive hiring at Canonical. We are looking for exceptional people to join our team at the entry level. You will possess a psychology based degree with an exceptional academic track record from high school. You will also bring some relevant experience from the field of talent, from either university coursework relating to talent selection or from an internship or first job in a talent team. In this role you will learn how to implement hiring strategies that result in high performance outcomes of our people and contribute to leading our talent agenda. The suitable candidate will bring an analytical mindset with a high level of curiosity to integrate data to draw insights and outcomes using SQL or Python. You will have the ability to prioritise and deliver work in a fast paced environment with a good level of self motivation and drive to operate in our remote based environment. With a keen interest in the assessment of  talent you will demonstrate a passion for understanding human decisions and behaviours. Great communication skills are also key to this role as you will be working closely with senior stakeholders to ensure they stay on track with their hiring targets. Finally, we would like you to bring a passion and interest for technology platforms and automations to help us drive efficiencies in our processes. Location: These are remote based positions that are available in the EMEA region. The role entails Learning how to assess candidates using behavioural interview techniques. Gaining a deep appreciation of the use of psychometrics in the workplace. Working on process and documentation efficiencies that fuel our hiring practices. Contributing to projects that drive successful hiring outcomes, many of which require advanced analytics skills to integrate data to draw insights. Building excellent stakeholder relationships to help design and implement solutions to complex problems that ultimately ensure we hire exceptional talent. Gaining a deep understanding of our systems and platforms to problem solve and support on hiring questions. Being at the forefront of ticket support and company channel questions, helping to solve issues as you gain a deep understanding of our processes. What we are looking for in you Exceptional academic track record from both high school and university, with an undergraduate degree in a psychology or people based subject. Advanced analytical ability to dissect and analyse data using SQL, with Python and/or advanced statistical analysis advantageous. Exposure to the topic of talent through university degree coursework, a relevant internship or first job. A passion for working in the technology space with evidence as to why. Results driven with the ability to work at pace, with strong project management skills to roadmap, plan and deliver objectives working with the team. Professional written and spoken English with excellent presentation skills. Drive, ambitious and curiosity to own breakthroughs in the talent field. Ability to travel internationally 2-4 times a year, for company events, occasionally for two weeks. Nice-to-have skills Advanced theory of psychometrics A deep understanding of the topic of intrinsic motivation What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home based - EMEA Our Talent Science team ensures that we follow an objective, scientifically rigorous and efficient process to select the very best new colleagues regardless of location, culture or background. With a data centric approach, we examine hiring data to create talent analytics and business intelligence to fuel our decision making on hiring. We leverage data to enable evidence-based decisions, weaving behavioural science throughout our selection process. Working closely with our Hiring Leadership team, who ultimately lead on hiring, our team ensures that hiring decisions are being made in the right way and that our hiring model supports the selection of world class talent. We are looking for a set of leaders to support our team growth and to help drive our strategic objective outcomes. This role will report directly to the Global Head of Talent Science. To be successful you will bring: Analytical tooling to coach and lead the team Experience of leading roadmaps and projects Experience of leading others to achieve exceptional results Location: These are remote based positions that are available across the globe. The role entails Leading a team to deliver against a set of strategic objectives, with focus on product design and implementation of our roadmap. Cracking the code on hiring, connecting performance outcomes back to selection methods to ensure we identify and progress exceptional talent. Designing professional processes and frameworks, allowing efficient delivery of our agenda. Coaching and mentoring team members to grow and develop skill sets specifically around analytical capabilities and thought leadership, developing training materials and documentation to support team members. Driving and representing the team in the absence of the Head of, acting as a credible and trusted adviser and an inspiring leader. Working closely with company leaders to understand, appreciate and communicate our vision for talent at Canonical. What we are looking for in you Exceptional academic track record from both high school and university, with an undergraduate degree in a people based subject. 7+ years experience in a Talent function, with a deep appreciation of recruitment and selection and analytics that drive decision making. Proven analytical ability to dissect and analyse data using SQL. Alternatively use Python, R, SPSS, or, possess the ability to run lookups, indexing, matching formulae with an appetite to learn SQL. Exposure to BI tools (Superset is our platform). Exemplary ability to lead and drive others to deliver, including exceptional project management and coaching to lead roadmap execution and delivery. Exceptional written and spoken English with strong presentation skills for a senior audience. Sincere personal motivation aligned with our mission. International travel 2-4 times a year for company events up to two weeks long. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. Nice-to-have skills Advanced psychometric skills. A deep understanding of human behaviour, in particular intrinsic motivation. Experience of using Superset and/or Greenhouse What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of 2,000USD per year Bi-annual compensation review Company recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2024, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Riyadh, Saudi Arabia Müller's Solutions is excited to announce an opening for a Junior Applications and Integration Support Specialist, specifically for Saudi Nationals. In this entry-level role, you will provide essential support for application integrations and assist in troubleshooting technical issues. You will work closely with experienced team members, gaining hands-on experience while helping our clients optimize their application performance and integration processes. Responsibilities: Assist in the implementation and support of application integration solutions. Provide first-line support to clients for application-related inquiries and integration issues. Help troubleshoot technical issues and document resolutions. Monitor application performance and assist in performance tuning. Collaborate with senior team members in the analysis and documentation of system requirements. Participate in training sessions to develop technical skills related to application support and integration. Requirements Requirements: Bachelor’s degree in Computer Science, Information Technology, or a related field. 0-2 years of experience in technical support, applications, or integration roles. Basic understanding of application development frameworks and integration concepts. Familiarity with at least one programming language (e.g., Java, .NET, or Python). Strong problem-solving abilities and a willingness to learn. Effective communication skills to work collaboratively with clients and team members. Saudi National only. Preferred Qualifications: Experience with APIs and web services. Knowledge of SQL and database concepts. Any relevant internships or hands-on projects related to application support or integration. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: HQ Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. Focusing on building fundamental Bitcoin infrastructure, Blockstream quickly grew into one of the leading technology power houses of the industry. At Blockstream, we’re building solutions on Bitcoin that will disrupt the existing financial system. We imagine a world where individuals and businesses can easily access a global, permissionless system to secure their money, use it every day, and invest it or put it to work. In pursuit of our expansive vision, we’ve built a full stack of innovative products on top of the Bitcoin protocol, from layer-2 projects like Liquid and Core Lightning, to end-user software and hardware wallets like Green and Jade. Our brand stands for innovation in the Bitcoin community, and we’re growing our team to accelerate the future.  In this role, you will develop services that empower people to build dynamic and innovative applications on top of Bitcoin. What You’ll Be Doing (Responsibilities): - Design, implement, test, and support full stack applications, in a continuous integration and deployment environment. - Implement web applications using frameworks such as React or Vue.js - Implement APIs in Python and Rust - Develop and maintain Databases and data applications (SQL and NoSQL)  - Write unit, functional, and integration test automation. What We Look For In You (Required Qualifications): - 5+ years of experience developing full stack applications - Web front ends - HTTP APIs - SQL and DB backends - System programming experience with Rust - 2+ years experience with Python - 2+ years experience with JavaScript and TypeScript - Experience with React or Vue.js - Experience building and supporting distribution infrastructure: Docker, Kubernetes - Excellent communication, team player attitude and collaboration skills - Highly self-motivated, lifetime learner Nice To Haves (Preferred Qualifications): - Experience building on Bitcoin - System programming experience with C++ - Experience working with and deploying on Kubernetes - Experience working with Google Cloud or AWS - Contributions to Open Source Projects and active GitHub profile - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience) 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: European Union; Ukraine Workplace: Remote About the Role We’re looking for a Senior Backend Developer who thrives in a deeply hands-on environment and enjoys being close to the code on a daily basis. This role is heavily focused on building, optimising, and scaling backend services in a high-load system where performance and reliability are critical. You’ll be working on complex, real-time challenges at the core of our platform - improving latency, ensuring high availability, and making systems more efficient at scale. This is not a coordination-heavy role; it’s for someone who enjoys writing production code, solving tough engineering problems, and seeing the direct impact of their work. If you’re product-driven, take ownership, and prefer a “build first, improve fast” approach while working on systems where every millisecond matters - this role will feel like home. Key Responsibilities - Work as part of a cross-functional team owning a core product within the platform - Design, build, and deliver new backend features end-to-end in a distributed environment - Write high-quality, production-level code daily, contributing directly to a high-load, scalable system - Take ownership of services handling financial transactions at scale, with a strong focus on reliability and accuracy - Proactively suggest and implement improvements in architecture, processes, and development practices - Participate in code and architectural reviews to maintain high engineering standards - Solve complex business and technical challenges with pragmatic, efficient solutions - Participating in on-call rotations within the squad to ensure the reliability and availability of our systems - Play an active role in ongoing tech transformation initiatives across the platform - Collaborate closely with engineers, product, and other stakeholders to deliver impactful solutions used by millions globally Requirements - Solid experience with Node.js/TypeScript is ideal, but we also welcome experts in other OOP languages such as Java, Python, C++, C#, or Go - Strong understanding of asynchronous programming techniques - Deep production experience with Kafka: confident reasoning about consumer-group rebalances and their impact on in-flight processing, offset-commit strategies under retries and duplicate delivery, and the limits of "exactly-once" semantics - Experience designing idempotent, retry-safe handlers for at-least-once pipelines: transactional outbox, idempotency keys, and deduplication - Experience building services with gRPC or similar RPC frameworks - Strong knowledge of relational databases such as MySQL or PostgreSQL, plus production experience with at least one NoSQL technology at scale, such as DynamoDB, MongoDB, or Redis - Hands-on experience running services on Kubernetes and AWS/GCP: deployment, autoscaling, resource limits, and production debugging - Production operations experience: on-call ownership of a high-load system, including incident response, impact assessment, root-cause analysis, and post-incident improvements Nice to Have - Experience with ClickHouse or other columnar/analytical databases - Experience with multi-region / failover architectures: data replication, regional isolation, and graceful degradation - Practical use of AI coding agents such as Cursor or Claude Code as part of daily development: effective prompting, reviewing, and validating AI-generated code - Understanding of application security and industry best practices - Gambling domain experience What We Offer - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Recruitment process 1. HR interview (30-45mins) 2. Interview with a Hiring Manager (45mins) 3. Technical interview with live coding (90mins) 4. Final Interview with C-level (60 mins) By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: United States Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. Focusing on building fundamental Bitcoin infrastructure, Blockstream quickly grew into one of the leading technology power houses of the industry. At Blockstream, we’re building solutions on Bitcoin that will disrupt the existing financial system. We imagine a world where individuals and businesses can easily access a global, permissionless system to secure their money, use it every day, and invest it or put it to work. In pursuit of our expansive vision, we’ve built a full stack of innovative products on top of the Bitcoin protocol, from layer-2 projects like Liquid and Core Lightning, to end-user software and hardware wallets like Green and Jade. Our brand stands for innovation in the Bitcoin community, and we’re growing our team to accelerate the future. Blockstream is looking for Software Engineers to work on our enterprise custody solution. You’ll design and maintain scalable end-to-end systems that serve APIs and SDKs, and work on everything from database architecture to cloud-based deployments.  What You’ll Be Doing (Responsibilities): - Design, develop, and maintain scalable end-to-end systems that serve APIs and SDKs. - Full stack software development, from database architecture to cloud-based deployment. - Optimize system performance and security to support high-availability applications. - Collaborate with cross-functional teams, including front-end developers, product managers, and hardware engineers to deliver seamless solutions. - Implement best practices in software development, including CI/CD, automated testing, and code reviews. - Research and integrate emerging technologies to enhance security and system efficiency. - Troubleshoot and resolve complex software issues in a fast-paced development environment. - Mentor junior developers and contribute to team knowledge-sharing efforts. What We Look For In You (Required Qualifications): - 5+ years of experience in full-stack software development, with a focus on backend engineering. - Proficiency in backend technologies such as C++, Python, Rust, Node.js. - Strong experience in designing and building RESTful APIs and SDKs. - Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). - Deep understanding of database technologies, including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). - Familiarity with authentication and security best practices, including OAuth, JWT, encryption, and access control. - Experience with CI/CD pipelines, automated testing, and DevOps tools. - Strong problem-solving skills and ability to work independently or as part of a team. - Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. Nice To Haves (Preferred Qualifications): - Experience with Bitcoin, blockchain technology, or cryptography. - Open-source software development experience. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience). - Experience with system/software architecture.   🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include... Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research. Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card ) , misalignment-risk safety cases, and coordination with third-party evaluators. Safeguards Research : Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more. Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area. Representative projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Thessaloniki; Athens; Limassol; Nicosia Workplace: hybrid The Role:  If you are a Senior Cloud Engineer there may be a place for you at our Group. Outside the usual suspects of solutions, projects, deep troubleshooting and investigations you will also be driving the Group towards its cloud-native goal. Processes, best practices, pillars and their risk assessments will be but a few of the long-term responsibilities you will have. The main responsibilities of the position include: Honour and practice Well Architected Framework in all tasks and responsibilities Research workloads for migrating them to the cloud with minimal interruption and impact Design, orchestrate and track cloud migration projects Design and consult re-platform and re-factor of current cloud infrastructure Coordinate with other IT departments and teams about their cloud infrastructure Investigate and perform regular assessments of cloud deployments in compliance to the Group's standards and best practices Design and orchestrate a risk register of cloud deployments and resources, and coordinate its communication to project managers, senior leadership and other IT departments or teams Research, develop and implement fair use policies and best practices for cloud services while complying to the Group's standards Drive requests for new technologies, services or solutions required from internal customers Design, document and deploy Proof-of-Concepts (PoCs) and Solutions for internal customers in compliance with the Group's framework Define and oversee the Group's deployment standards and pillars and ensure they are applied across cloud solutions and resources Follow and provide training for new and current technologies and services used Analyse, oversee and remediate cloud costs Main requirements: University degree in Computer Science, Engineering or a similar discipline 5 years of cloud services experience, 3 of which should be on AWS cloud Advanced knowledge in solution design and deployment projects Understanding and practice of Well Architected Framework Methodical troubleshooting of issues and mentoring capabilities Experience in AWS technologies, services and ecosystem Advanced knowledge of Infrastructure as Code (IaC) concepts and tools, preferably HCL Terraform and AWS CloudFormation Experience with versioning tools such as git Advanced Linux, networking and scripting skills (Bash) Comprehend and accommodate practices such as FinOPS or SRE Distinctive organisation and documentation skills The following will be considered an advantage: Experience in Windows OS Experience in RDBMSs, preferably Postgres and MySQL Experience in scripting languages such as Python or Go Benefit from: Attractive remuneration package plus performance-based reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models. The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role. This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple Kubernetes clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day. Location : Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country. What your day will look like The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code. Work across the entire Linux stack, from kernel, networking, storage, to applications, Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark, Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud), Collect customer business requirements and advise them on Ubuntu and relevant open source applications, Grow a healthy, collaborative engineering culture in line with the company values, Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients, Liaise with product teams to give them feedback on requirements to influence roadmap, Work collaboratively with your sales team to reach our common targets, Global travel up to 30% of time for internal, external events and customer meetings. What we are looking for in you Exceptional academic track record from both high school and university, Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path, Experience in data engineering, MLOps, or big data solutions deployment, Experience with a relevant programming language, like Python, R, or Rust, Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation, Track record of going above-and-beyond expectations to achieve outstanding results, Demonstrated personal interest in continuous learning and development, Practical knowledge of Linux, virtualization, containers and networking, Business-minded technology thinker and problem solver, Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP, Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics, Intermediate level Python programming skills, Passion for technology evidenced by personal projects and initiatives, The work ethic and confidence to shine alongside motivated colleagues, Professional written and spoken English with excellent presentation skills, Experience with Linux (Debian or Ubuntu preferred), Excellent interpersonal skills, curiosity, flexibility, and accountability, A dynamic person who loves to jump in new projects and interact with people, Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation, Thoughtfulness and self-motivation, Result-oriented, with a personal drive to follow up and meet commitments, Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings. What you’ll learn Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training, Wide range of open source applications and skills, Work directly with customers in a range of different businesses, Real-life and hands-on exposure to a wide range of emerging technologies and tools. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Lagos, Nigeria; Russia We are looking for a Data Science Manager with a strong background in managing data-driven solutions to lead a high-performing DS team within the banking sector. This role combines ML expertise, team leadership, and cross-functional communication, with a focus on scorecard development, model performance, and portfolio risk monitoring. Responsibilities Advanced ML-modeling and data-exploration: ensembles and AI-algorithms, AI-initiatives management, external AI-services integration. Focus on models and solutions for: credit, fraud, marketing, collection and contact strategies, text, speech and behavioral analytics, dynamic pricing and limits. Stakeholders' expectations management: communication with risk (portfolio) team, collection team, other business units on score-modelling and backlog prioritization, task clarification. DS-team management: recruitment, training, performance improvement, scrum-servicing, task-management. Improvement DS-team communication with consumers and business needs understanding. Environment, process and tools management: git, Jira board, Confluence content, Agile rituals. ML-data management: colabration with DWH-team; data-availability, reliability and quality assessment; new/existent data-sources integrations support and management, data-flow stability control, feature-store administation. ML-model lifecycle management: from business needs identification to "sell", deployment and production-test stage. ML-models stability monitoring and quality control, reassessment and proactive quality improvement (re-calibration/ re-building). Knowledge management: Maintain up-to-date project documentation, implement standards, control discipline and maintain actuality for confluence descriptions, feature-store meta-data, git documentation, internal experience sharing and handover, new methodologies and tools review and implementation. Requirements Demonstrated experience working in fintech or banking, especially within emerging markets. Hands-on experience developing ML scoring models for text, speech, behavioral analytics, and dynamic modeling in card businesses. Strong programming skills in Python and SQL for data analysis, modeling, and automation. Proven experience with machine learning techniques, including: Regression, classification, ranking, boosting Graph-based models, neural networks, NLP, and large language models (LLMs) Solid understanding and practical implementation of AI concepts and systems. Familiarity with MLOps, including data pipelines, model deployment, and productionizing machine learning solutions. Experience with cloud computing platforms, especially AWS (highly preferred). Proficiency with BI and data visualization tools such as PowerBI, Excel, Tableau, or Grafana. Prior exposure to risk management or analytics, particularly within the cards or payments space. Strong grasp of Agile and Scrum methodologies in a data or engineering environment. Excellent communication and presentation skills, with the ability to simplify complex data concepts for both technical and non-technical audiences. Fluent in spoken English.

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 production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history 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: $500,000 — $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. 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: Mexico City, Mexico; Santiago, Chile; Panama; São Paulo, Brazil; Montevideo, Uruguay; Bogota, Colombia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Business Analyst (Pre-Sales & Delivery) to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. We are seeking a highly experienced and skilled Business Analyst to lead our pre-sales efforts and play a crucial role in project delivery. This role focuses on managing the pre-sales cycle, including requirements analysis, solution design, proposal development, client negotiations, and successful deal closure. Post-sale, the Business Analyst will act as the Single Point of Contact (SPOC) between the client and project team, ensuring smooth execution, client training, and project success. The ideal candidate will have at least 7 years of experience as a Developer Lead, Business Analyst, Project Coordinator, or Project Manager , with at least 3 years in the U.S. market . A strong understanding of the Software Development Lifecycle (SDLC) , especially in custom application development on cloud platforms , is essential. Expertise in AI, ML, and Blockchain technologies is highly valued. Strong leadership in pre-sales and project delivery, coupled with an agile mindset and excellent communication skills, is key to success in this role. Key Responsibilities: Pre-Sales Activities: Requirements Analysis: Engage with clients to understand business needs, technical challenges, and strategic objectives. Documentation: Develop Business Requirements Specifications (BRS), System Requirements Specifications (SRS), UML diagrams, and solution architecture documents. Solution Design: Collaborate with sales and technical teams to craft tailored solutions using cloud technologies, AI, ML, and Blockchain. Solution Presentation & Demonstration: Lead presentations and demonstrations of proposed solutions, showcasing business and technical value. Proposal Development: Create detailed proposals outlining scope, timelines, deliverables, and pricing. Client Negotiations: Oversee negotiations regarding project scope, pricing, timelines, and deliverables. Sales Target Achievement: Partner with the sales team to meet and exceed pre-sales targets. Post-Sale Activities: Project Handover: Act as SPOC between the client and project team for seamless transition and alignment on deliverables. Project Planning & Documentation: Work with project managers to develop plans, assist in SRS creation, and review project-related documentation. Upselling & Cross-Selling: Identify opportunities for additional services during project execution. Objection Handling: Address client concerns promptly to ensure satisfaction. Phase & Milestone Delivery: Monitor project progress, ensuring timely and successful completion. Client Training: Conduct training sessions to ensure effective solution adoption. Experience: Minimum 7 years in a Developer Lead, Business Analyst, Project Coordinator, or Project Manager role, with 3+ years in the U.S. market . Technical Expertise: Hands-on experience in custom application development, particularly on AWS and Google Cloud . Proficiency in technologies such as Node.js, Python, React.js, Next.js, React Native, Flutter, MySQL, PostgreSQL, MariaDB, DynamoDB, Serverless Architecture, and Microservices . Government Regulations Knowledge: Strong understanding of U.S. Government and State regulations in areas like financial compliance, AML, KYC, digital identity verification, investor verification, payment processing (ACH, Credit Card), cryptocurrency regulations, taxation laws, healthcare, fintech, and privacy laws . SDLC Knowledge: Expertise in Agile methodologies and project management principles. Documentation Skills: Ability to create and manage BRS, SRS, UML diagrams, and solution architecture documentation. Pre-Sales Leadership: Proven success in leading pre-sales efforts and closing deals. Communication & Relationship Building: Strong verbal and written communication skills. Project Management Skills: Experience in Agile environments, ensuring successful project delivery. Preferred: PMP certification or similar project management credentials.