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Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. SECURITY ENGINEER Security Engineering builds the foundations that let Sierra deliver powerful AI agents while protecting customer data and trust. We partner across product and platform to make security, privacy, and safety core product capabilities and secure defaults. WHAT YOU’LL DO Our work spans several security domains. You’ll go deep where your strengths and interests are strongest, with opportunities to explore new areas alongside the team. Build the Foundations of Trust. Design and ship systems and controls that make Sierra secure by default — spanning product security, infrastructure security, enterprise security, identity, and detection and response. You’ll work across all layers of our platform to identify risk, strengthen architectures, and build durable defenses. Own Cross-Cutting Systems. Partner with product, platform, and infrastructure team to threat model designs, review code and architectures, and implement and evolve Sierra’s security primitives. You’ll make pragmatic design trade-offs between usability, performance, reliability, and security. Find and Reduce Real Risk. Identify vulnerabilities, investigate suspicious behavior, and improve detections and response workflows across applications, cloud infrastructure, identity, endpoints, and internal systems. Turn what you learn into systemic fixes and controls that prevent entire classes of issues. Automate and Scale Security Workflows. Create developer-friendly tooling to reduce risk and friction — whether through automating security checks in CI/CD, building secure paved paths, improving vulnerability discovery, or instrumenting high-signal detection and response.     WHAT YOU’LL BRING Deep Security Expertise. Strong security fundamentals and depth in at least one domain, such as product security, platform or cloud security, enterprise security, identity, detection and response, or offensive security. You can apply that expertise across unfamiliar systems and emerging threats. Product and Platform Mindset. You care about building secure, scalable systems that enable, not block, innovation. You work closely with teams across Sierra to make trade-offs clear and help them move quickly without sacrificing trust. Software Engineering and Systems Thinking. You’re comfortable reading and writing code, understanding how production systems fit together, and building pragmatic software solutions to security problems. You can reason about system design and contribute to APIs, services, and security controls, with an eye toward reliability and maintainability. Curiosity and Ownership. You take ambiguous, cross-cutting problems from first principles to production and go deep when needed: threat modeling a distributed system, tracing an authorization decision across services, or following an investigation from weak signal to root cause. You define the problem, align partners, build the solution, and own it in production.     EVEN BETTER IF… - You’ve worked across more than one of product security, infrastructure security, enterprise security, detection and response, or offensive security. - You’ve built security frameworks, platforms, or solutions that engineers and responders rely on to prevent, detect, investigate, and remediate security issues at scale. - You have exposure to AI systems or care about designing secure-by-default LLM applications and agentic systems. - You think like an attacker — you naturally ask “what could go wrong?” when reviewing designs or investigating systems. You’ve found or fixed real security issues in production. - You thrive in 0→1 environments, where foundational systems have to balance speed, reliability, and trust. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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: 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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: Have 8+ years of ML research experience Are familiar with large scale language model training, evaluation, and inference pipelines Enjoy obsessively iterating on immediate blockers towards longterm goals Thrive working collaboratively to solve problems Have expertise in performance optimization and distributed computing systems Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems Can translate research concepts into scalable engineering solutions Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Strong candidates may also have: Expertise with performance optimization for language model inference and training Experience with computer use automation and agentic AI systems A history working on reinforcement learning approaches for complex task completion Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) Have experience with VM/sandboxing/container deployment and large-scale data processing Experience working with large scale data problem solving and infrastructure Published research or practical experience in scientific AI applications or long-horizon reasoning 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 — $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: San Francisco, CA; New York, NY; Atlanta, GA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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 part of the Nitro Backend team at Offchain, you will work on the core infrastructure powering Arbitrum, the leading Ethereum scaling solution. In this role, you’ll tackle complex distributed systems challenges, optimize performance, and contribute to the security and scalability of Arbitrum. You’ll collaborate closely with our research, product, and blockchain engineering teams, working at the cutting edge of blockchain technology alongside world-class engineers, including many industry leaders. Who you are: Possess extensive production experience with a programming language that supports concurrency (e.g. Go, C++, or Rust) Possess a strong sense of ownership in your work which drives you to find new and innovative ways to solve complex problems through rigorous experimentation Always up to speed on the latest technologies Possess an open, transparent and direct communication style and have experience working in tight collaboration with your teammates Always open to feedback, new ideas and opportunities for self-improvement You look for ways to help out beyond your immediate day-to-day work What you've done: Made significant contributions to the products you’ve worked on in your career Maintained a security focused mindset, always keeping an eye out for potential threats and vulnerabilities in your code Nice to have: Familiarity with WebAssembly, particularly writing high performant and high security code in production environments Experience working with compilers, architecting systems and developing SDKs 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 Attention Offchain Job Seekers:   This role cannot be performed in California, or Colorado.   Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com   At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.

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: Home Based - Americas 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. The role of a Partner Marketing Manager at Canonical Canonical is looking for a channel marketing manager who will be responsible for developing our strategic relationships with a set of global partners . Canonical partners with the leading companies in technology across public cloud (Amazon, Google, Microsoft, Oracle…), silicon (ARM, Intel, Qualcomm, Mediatek, Nvidia, Xilinx…), hardware vendors (Dell, HP, HPE, Lenovo). As our business increasingly depends on partners, the scope of our partnership grows every year (GSI, software vendors, IoT…). We are thus looking for an individual, who will not only drive successful marketing activities with our partners but also shape our partner programs. Marketers at Canonical are brand stewards and demand creators.They transform complex open-source technology into messages, stories and strategies that shape the market understanding of our vision.  Some focus on differentiated product and portfolio positioning; others specialize in account-based engagement, partner and alliance messaging, or product-led growth. Whatever their specialization, each marketer works as part of a cross-functional unit, contributing campaigns and insights that help the company learn and grow faster. We have a bias for action, focus efforts on the most impactful activities and take ownership of our results. We work across long buying cycles, balance storytelling with data, design experiments, track outcomes, and iterate rapidly to find what works. Marketers at Canonical don’t just promote open source; they amplify it, ensuring our innovations reach the right people, at the right time, with clarity and purpose from developers to decision makers. This role reports to the Head of Partner Marketing. Location: This role will be based remotely in the Americas region. What your day will look like Build joint go-to-market plans with partners, from messaging to pipeline generation Create and deliver integrated campaigns, product launches, webinar series, industry announcements and core content in collaboration with partners. Package all of Canonical's product offerings and educational material creatively, from bare metal, AI, Kubernetes... Continue to grow Canonical's partner ecosystem by delivering partner value Continue to develop Canonical's partner activities to scale our partner programs What we are looking for in you Experience in B2B marketing and experience working with strategic corporate partners to develop co-marketing initiatives. Strong customer/partner relationship management skills. Proven analytical skills, able to assess opportunities and make decisions on ROI/advantages of programs & investments. Willingness to roll up their sleeves. Exceptional verbal and written communication skills. Nice-to-have skills Experience in enterprise software, SaaS or silicon preferred Track record of delivering strong results and innovation. Ability to work and thrive in a self-starter, fast-paced and changing environment Love for diverse work assignments and the opportunity to try new approaches Growth mindset - someone who is not afraid to think big and take on risk. 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 Annual holiday leave 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: 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 more than 80 countries and very few roles based in offices. The company is founder led, profitable and growing. We are hiring a Business Services Team Manager to lead efficient and effective travel, logistics, event, scheduling, expense policy and administration. This executive role requires outstanding coordination, planning, decision-making, budgeting, procurement, reporting and management. It is a fast-paced and complex operation in the tech industry. We coordinate large-scale company events which involve travel for hundreds of people from 80+ countries. We run such events four times a year, a significant investment in our ability to shape culture, teamwork, execution plans and strategy. Our team is responsible for travel procurement and logistics, ensuring that these events run efficiently and safely. Visas, travel complications and unexpected situations make this a complex operation to run efficiently, demanding a rigorous approach and high work ethic in the team. This team also serves as an independent check on expense claim approval, ensuring fairness and consistency across teams and countries. This requires integrity, transparency and accountability, and a willingness to set and politely defend the same expectations of the most senior and most junior colleagues. Together these responsibilities amount to tens of millions in operational costs and a significant number of tactical and operational decisions. Our team also provides traditional 'EA' services for company leads, though they do this across departments and as a consistent service rather than as personal assistants; they set and deliver to expectations on specific kinds of work. They schedule meetings, coordinate monthly reports, handle delegated approvals for travel and expenses, work across teams, coordinate with suppliers, and run small projects or initiatives. Location: Worldwide, home based, except in locations where we have an office, such as London, Taipei and Beijing Leadership and accountability This team has a direct impact on every team at Canonical. It is important for them to have excellent judgment and interpersonal skills, the confidence to hold people accountable and defend positions of policy, and the work ethic to move quickly through a large volume of work. It is also essential that the team participate in every company event, from the planning and venue selection stages to scheduling, operations and safety reviews, to ensure that they establish personal relationships with team leaders and can ensure these events run smoothly. As a manager, your team would be responsible for Travel approvals, logistics and operations Expense review in line with policies Planning of complex company events four times a year Company offices that provide executive briefing and operational facilities Our global duty of care, health and safety programs with comprehensive policies and practices What we are looking for An exceptional academic track record from both high school and university An undergraduate degree in a technical or business subject Drive, and a track record of going above-and-beyond expectations Leadership and management skills Demonstrable good judgement in matters involving money, policy and in-person interactions Ability to work in a global, multicultural organisation Excellent interpersonal skills, curiosity, flexibility Responsibility, accountability, thoughtfulness and self-awareness Result-oriented, with a personal drive to meet commitments Ability to travel up to four times a year, for company events up to two weeks long Additional skills that you might also bring Travel industry experience Project management experience Event management and operations experience Business and corporate administration experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually 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. Canonical has been a remote-first company 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: Lagos, Nigeria As the Product Manager for Business Banking, you will spearhead the development and adoption of digital solutions to onboard and engage corporate clients on Renmoney’s web and mobile platforms. You’ll own the product vision for business banking, delivering features like business accounts, SME loans, bulk payments, and invoicing to meet the unique needs of Nigerian businesses. Collaborating with cross-functional teams, you’ll drive revenue growth, ensure regulatory compliance, and create intuitive user journeys that redefine SME banking. Job Description Product Strategy - define and own the product roadmap for business banking, aligning with Renmoney’s digital-first strategy and SME growth objectives. Propose innovative features like cash flow tools or API integrations to stay ahead of market trends. Corporate Onboarding - Design seamless digital onboarding journeys for SMEs and corporate clients on web and mobile, ensuring compliance with KYC/AML, CBN, NDIC, and NIBSS regulations. Optimize conversion rates across funnels. Feature Development - Lead end-to-end development of high-impact features (e.g., business account dashboards, user role management, bulk payments, invoicing, transaction insights, SME loans). Test and scale solutions with engineering and design teams. Stakeholder Collaboration - Partner with Engineering, Design, Compliance, Risk, Sales, and Distribution to align features with client needs. Work with Ops and Customer Service to ensure backend scalability and support. Analytics & Iteration - Leverage customer feedback, funnel data, and tools like Amplitude to drive decisions. Run A/B tests to improve adoption, engagement, and retention. Track KPIs like transaction volume and feature usage. Regulatory Alignment - Ensure all products comply with Nigerian financial regulations. Participate in risk reviews and policy formulation to maintain trust and security. Adoption & Growth - Collaborate with Sales to drive client acquisition and engagement. Optimize user journeys to boost business account activations and transaction volumes. Requirements 4+ years in product management, with 2+ years in SME/business banking, fintech, or digital financial services Proven success launching digital onboarding or transaction products Strong knowledge of SME financial needs (e.g., lending, payments, KYC, invoicing) Ability to translate business problems into technical requirements Excellent communication skills to engage diverse stakeholders Benefits Impact: Shape the future of business banking for Nigerian SMEs and corporates. Growth: Access professional development and career advancement in a fast-growing fintech. Culture: Work in a collaborative, innovative team with hybrid flexibility. Benefits: Enjoy competitive compensation, health insurance, and wellness programs.

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: Lagos, Nigeria About Renmoney Renmoney is a leading Nigerian fintech on a mission to make financial inclusion simple, accessible, and rewarding. As we scale our digital presence, we’re looking for a talented Product Manager to own and drive the user experience across our mobile app and web platforms, ensuring our customers enjoy frictionless access to loans, savings, bill payments, transfers, and account management features. Role Summary The Product Manager for Front-End Channels will lead the strategy, execution, and continuous optimization of Renmoney’s Mobile and Web customer-facing platforms. You will work with cross-functional squads — including engineering, design, QA, marketing, and business stakeholders — to create intuitive and delightful digital journeys that drive engagement, conversion, and revenue growth. Key Responsibilities Product Strategy & Vision - Define and champion a compelling product vision for Mobile and Web channels, aligned with Renmoney’s business goals of increasing customer acquisition, retention, and transaction volume. UX Optimization - Lead UI/UX revamps to improve usability, accessibility, and inclusiveness, especially for non-tech-savvy users. Partner with design to ensure consistency, performance, and visual appeal. Execution & Delivery - Own the product backlog. Prioritize features, manage sprints, and coordinate across Engineering, QA, DevOps, and BA teams to deliver timely, high-quality updates. Customer-Centric Design - Use customer feedback, usability testing, and behavioral analytics to optimize onboarding, in-app navigation, and key feature adoption. Conversion & Engagement - Drive improvements in loan funnel conversion, savings engagement, and transaction completion. Proactively reduce drop-offs and increase session stickiness. Cross-functional Collaboration - Collaborate with Lending, Banking, Risk, Customer Service, and Marketing teams to ensure platform scalability, compliance, and readiness for new initiatives. Compliance & Regulation - Ensure all front-end features meet Nigerian fintech regulatory and data privacy standards. - Advocate for inclusive design to drive financial access. Release Management - Plan and coordinate beta rollouts, production deployments, and emergency hotfixes in collaboration with DevOps and QA. Product Analytics - Define and monitor KPIs — including activation, MAU/WAU, churn, drop-off points — using tools like Firebase, Mixpanel, and Google Analytics Requirements 5+ years of Product Management experience in fintech or digital banking; 3+ years managing mobile/web platforms with proven outcomes in user growth and engagement. Technical Exposure - Understanding of REST APIs, mobile/web architecture, analytics integration, and Agile methodologies. Tools Proficiency - JIRA, Confluence, Figma, Miro, Productboard (or equivalent), Firebase/Mixpanel, Google Analytics. SQL is a plus. Bachelor’s in Computer Science, Engineering, Finance, or related field. MBA or Product certifications (e.g., Pragmatic, AIPMM) is a plus. Soft Skills - Strong ownership mindset, analytical thinking, storytelling ability, cross-functional leadership, and stakeholder influence at C-level. Key Performance Indicators (KPIs) - Mobile App Conversion Rates (Loan Applications, Savings, Bill Pay) - Weekly & Monthly Active Users (WAU, MAU) - Onboarding Funnel Completion Rate - Customer Retention & Churn (Mobile & Web) - App Store Ratings and Reviews - Page Speed, Uptime, and Hotfix Delivery Time Benefits - Impact: Shape the face of digital banking in Nigeria by delivering intuitive and life-changing user experiences. - Ownership: Lead end-to-end product journeys with autonomy and measurable results. - Growth: Work in a data-driven, agile, and collaborative environment with opportunities to grow into senior leadership. - Flexibility: Hybrid work options, performance-based rewards, and a culture that values innovation, empathy, and diversity.

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: Berlin, Germany Our client is a leading company with over 1,300 employees, specializing in providing cleaning and personnel leasing services to factories (70% of the business) and engineering and technical services to factories (about 30%). They have two companies in Germany that specialize in cleaning river canals. They also do water maintenance, urban tree plantings, landscaping, and hydraulic engineering among other services. They are currently seeking an experienced Key Account Manager to join their team in Berlin. The ideal candidate will have a strong technical or engineering background (e.g., civil engineering or related technical fields) and proven experience in sales within similar industries. Key Responsibilities : Strategic Business Development: Drive business growth through large-scale transactions and by introducing new services to both existing and potential clients. End-to-End Sales Management: Manage the full sales cycle, including lead generation, cold outreach, prospecting, negotiation, and closing deals. Account Management & Expansion: Oversee both new and existing client accounts, identify opportunities for upselling, and ensure the achievement of planned revenue margins. Collaboration with Service Leaders: Work closely with internal service leaders to support business expansion, set pricing strategies for new services, and assist in high-level sales presentations. Revenue and Billing Oversight: Monitor revenue billing processes in collaboration with chief engineers. Client Relationship Management: Build and maintain strong, long-term relationships with key clients to ensure customer satisfaction and loyalty. Requirements A minimum of 3+ years of B2B sales and client development experience. Proven track record in managing the full sales cycle and overseeing a client portfolio. A technical or engineering background, with an understanding of civil engineering or related fields. Experience in industries such as construction, civil engineering, manufacturing, landscaping, or industrial cleaning is highly preferred. Previous experience working with government clients (e.g., Senate) is a plus. Strong communication and interpersonal skills. Fluency in both German and English is required. This role offers a dynamic opportunity for a motivated sales professional with a technical background to contribute to the growth of a well-established, diversified company. Do you think your profile matches this position? - Great! We want to hear from you!

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next. This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You’ll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle. This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact.   RESPONSIBILITIES - Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales. - Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fundamentals and process discipline, while staying flexible and creative in how you run each sales cycle. - Build trusted relationships with founders and technical leaders, becoming a credible partner on model, infrastructure, and inference decisions. - Orchestrate stakeholders across applied research, engineering, and leadership to win technical evaluations and solve customer problems. - Bring customer signal back to product, shaping roadmap priorities through the needs and patterns you see in the field. - Stay close after close: help customers expand from an initial workload into additional use cases across the organization.   REQUIREMENTS - 5+ years of sales experience in infrastructure, developer tools, data, or another consumption business, with a record of closing complex technical deals. - Proven net-new experience selling complex technical products in fast-moving environments. - Strong sales fundamentals across discovery, multi-threading, champion-building, and deal momentum. - Genuine curiosity for open-source models and the AI infrastructure landscape. You follow model releases and can hold your own with engineers. - Highly dynamic: comfortable when a deal goes off-script, able to meet customers where they are, and willing to change your approach without losing rigor. - Strong technical project management: you can run a thorough evaluation across multiple workstreams and create clarity and direction for Baseten to win. - Proven ability to sell internally, earning engineering time, aligning leadership, and getting cross-functional teams to move - Scrappy, low-ego, collaborative operator. You run toward ambiguous problems, create structure where none exists, and earn internal support without relying on rigid swim lanes. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Subang Jaya, Malaysia The Company: Our client is an independent games development studio founded 2008 in the cultural heart of Southeast Asia. They are a game tech focused studio with both internal OIP (Original Intellectual Property) and external co-development tracks. They build games over multiple platforms, primarily focused on Windows Desktop PC (Unreal Engine). Their flagship and breakout is a fully serviced live operational squad based multiplayer PvP (Player-Versus-Player) 5v5 (Five-Versus-Five) FPS (First-Person-Shooter) and RTS (Real-Time-Strategy) hybrid action combat game launched in 2021. Our client provides full cycle work for hire, co-development, consulting, backend development, and virtual production support disciplines across all departments both internally and externally. Today, they are a team of 60 full-time internal developers and growing. They are committed to be wholly involved in developing digital interactive entertainment software and remain passionately strong. Combined with a people first, through innovation and integrity, they are poised to be the leading force in games development within the region. The Responsibilities: Our client is on the lookout for great full-time talents in Game Programming and Development to join their fast growing team. You will have the opportunity to collaborate with their core team in developing highly engaging, polished, and industry standard interactive game products, full cycle from its core conception to market launch in their many internal and external projects. Principal Responsibilities Work alongside their team and project stakeholders in all aspects of game development. To produce robust, optimized and maintainable code bases for game prototyping, core functionality, game mechanics, and engine features, maintenance, and infrastructure. Contribute side by side with their team of programmers in developing, profiling, optimizing, and debugging code to meet the project’s performance, platform, and quality requirements. Contributing in code reviews, maintenance tests, and documentation. Collaborate alongside multiple internal disciplines and departments, in designing, planning, and ascertaining accurate production estimates, to identify any potential pitfalls during development. To ensure a player-first approach, delivering a first class experience for their players. Team and Personal Responsibilities Good interpersonal, communication, and collaborative skills, is able to effectively liaise over various disciplines, and stakeholders across different project and approval stages. Experienced, or keen to learn and improve new pipeline and production practices through iterative development methodologies, be it traditional or agile workflows. Constantly familiarizing and keeping updated with current industry standards, trends, pipelines, and software to effectively and consistently hit higher graphical benchmarks. Requirements Core Requirements Experience in developing code for Game Engine(s). Experience with Unreal Engine 4, and or 5 (and above). Experience in C++, C#, Blueprints, etc. with good Coding Practices and Principles. Experience in Version Control Software (SVN, Git, Perforce, etc.). Experience in Debugging Issues, Optimizing Performance, and Scaling code bases. Experience in Traditional and or Agile work environments and methodologies. Good problem-solving acumen, with a creative aptitude for unique solutions. Ability to Self-Asses, Iterate, and Improve on one’s own work independently. Knowledgeable in a typical game development cycle. Is Proficient in English, verbal and written. Supplementary Skills Experience with Unreal Engine 4, and or 5 (and above) and its set of features: World Building, Characters, Animation, Materials, Visual Effects, AI, User Interface, Gameplay Frameworks, Developer Tools, etc. Experience with other Game Engine(s). Beneficial & Bonus Skills Experience in Advanced Unreal Engine series of features: Multiplayer and Networking Asset Management Rendering Pipeline (Nanite and Lumen) Gameplay Ability System (GAS) Backend Technologies (Authentication, Game Session Management, Matchmaking, Databases, APIs, Integration from third-party solutions with in-game functionalities, etc.) Experienced in creating cross-platform games for a range of target systems and hardware (Desktop, Console, Mobile, etc.). The Rank Requirements: Junior / Fresh Graduate Game Programmer Possesses a good understanding of scripting and programming when working on a game project. Alongside a sufficient portfolio showcasing in-game mechanics using industry standard software(s) and game engine(s). Previous work should showcase a good foundation in programming concepts, language, and proficiency, with the use of debugging tools towards a certain benchmark within platform specifications. Intermediate Game Programmer Solid experience and demonstrated ability in game engine development tools. Able to develop, maintain and scale codebases to meet project requirements consistently and efficiently. Decent proficiency in in-game technical practices and design principles. Alongside knowledge of performance optimization techniques, and profiling tools in fine-tuning the game. Previous work showcases strong problem solving skills and ability to work with cross-functional teams. Have at least been credited with one title launch, with preferably a minimum of three to four years of industry experience. Senior Game Programmer Excellent knowledge and demonstrated consistency in delivering successful game projects, within its technical requirements. Ability to document workflows, improve pipelines, and mentor new staff. Exceptional low-level programming, optimization techniques, and able to understand game architecture and design patterns. Have at least been credited with two or more game title launches, with preferably a minimum of five to six years of industry experience. Principal Game Programmer Exceptional proficiencies and consistent demonstration in delivering engaging, high-quality, and complex functionalities throughout various high profile projects. Strong game engine technical and optimization ability, with an in-depth knowledge of programming languages and game development tools. Able to benchmark, and document processes, while maintaining the standard of delivery. Have at least been credited with three or more game title launches, with preferably a minimum of eight to ten years of industry experience. Lead Game Programmer Excellent background in game programming development coupled with strong interpersonal, communication, and project management skills. Ability to fully understand and breakdown project requirements, and work closely with all disciplines in maintaining timely delivery of feature deliverables to their respective stakeholders. Demonstrated experience in delegating and maintaining project standards, while adapting, and iterating features based on feedback. Wide knowledge of game engine technical constraints, optimization tools, and implementation processes to determine the best methods and techniques in hitting project targets. Have at least been credited with two or more game title launches, with preferably a minimum of five to six years of industry experience. Benefits Competitive Salary. Flexible Working Hours. Leave Entitlement and Carry Forward Leaves of 10 days until the 31st March the following year. 24/7 Studio Access alongside all production and leisure areas. Employee Wellbeing Fund of MYR1,500, refreshed annually. Employee Health Insurance (AIA), with In-Patient, Out-Patient, and Panel of Doctors Care. Annual Performance Reviews with Transparent Career Development and Pathways. Hybrid Work Option (available on request, with discussion, under management discretion). Relocation Assistance (available on request, with discussion, under management discretion) => only for Malaysian citizens. Full Compensation on all Formal Overtime events.

Location: Cape Town, South Africa Workplace: remote WELCOME TO OLX   Software innovation is the driving force behind the success of Property24. We strive for outstanding user experiences on our websites, desktop, and mobile applications. We've created the leading property marketplaces in SA and Kenya, and are by no means finished. Join the tech-savvy team where quality, scale and performance are the foundations of our success. We're always growing our products, so if you're one of SA's talented Software Developers, then you'd be a great addition to our team.     At OLX, we're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands –  AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. This role is open as remote for all candidates based in South Africa.     We are looking for someone who: Likes building websites, backend systems or mobile applications. We are building a worldwide platform and need your help to succeed. If you are all about software development, performance, scale and user experience then come and be part of our dedicated and successful team. Requirements: Minimum 5 years' experience with C# University or related Computer Science degree/diploma South African citizenship Advantageous: Web Technologies (HTML, CSS, BootStrap, LESS etc) Microsoft Web Stack (MVC, C#, Razor, IIS, ASP.Net etc) Mobile Application Development (iOS, Mono, Android, Java etc) High performance/scale technologies (Caching, Load Balancing, Profiling, Indexing etc) Relational Databases (Microsoft SQL) Does this sound like you? Good attention to detail Open to and willing to give critique Genuinely interested in coming up with the best solution Constantly learning about the things they are busy with and sharing with others What we offer: Working with latest development tools Fast development environment No constant overtime to meet deadlines Guidance from and access to some very talented people At Property24, we're passionate about creating the experiences for our users and customers that we'd love to have ourselves. So why not join our team.   Our employments equity goals will be taken into account in our selection process. If we're blown away by your CV, we'll call you in for an interview. We'll give you a warm welcome, a quick test to challenge your mind and a chat to weigh up your skills and personality - simple, right? If you get the job, be prepared for a pretty great adventure! We look forward to meeting you.   To support our commitment to diversity, inclusion, and compliance with South Africa’s Employment Equity Act, we collect gender and race information to help us monitor and promote equal opportunities. Please note that this information is confidential and does not influence hiring decisions, which are based solely on qualifications and experience.   Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: 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.