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

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on The single hardest role on the team. You'll own the entire optics and calibration stack — lens selection, image quality, intrinsics, extrinsics, ISP tuning, multi-camera alignment. End to end. Optics and sensor selection - Lens characterization (MTF, distortion, chromatic aberration) - Sensor variant evaluation and selection - Optical mount tolerance budget with the mechanical team - IR filter and lens shading correction approach Image quality and ISP tuning - AE, AWB, color matrix, gamma, lens shading correction - Multi-camera color and exposure consistency - Image quality validation in mixed real-world lighting Multi-stage calibration pipeline - Camera intrinsics and fisheye distortion modeling - Stereo and multi-camera extrinsics - Camera-IMU spatial and temporal calibration - Magnetometer calibration in the assembled stack Calibration infrastructure - Rig design and fixture builds (turntables, lighting, targets) - Calibration software pipeline - Automated verification and QA systems - Documentation for factory deployment Production and field calibration - Factory-floor calibration procedure - Per-unit calibration QA gating - Field calibration drift monitoring - Sensor / lens transition tooling Required technical experience - Hands-on multi-camera calibration (intrinsics, stereo, multi-rig) - Fisheye distortion modeling (Kannala-Brandt or equivalent) - IMU calibration: bias, alignment, Allan variance, temperature curves - Calibration tooling and infrastructure for production - Comfortable in both the optics lab and the calibration software stack Strong plus - OpenCV, Kalibr, or similar calibration frameworks - ISP tuning on Qualcomm, NXP, or Ambarella platforms - AR/VR, autonomous vehicle, or research-grade capture device background - Camera-IMU temporal alignment - Manufacturing calibration line experience - Uncertainty quantification and error analysis About this role Your work determines whether thousands of hours of captured data is usable. Bad calibration is silent — data passes acceptance and fails downstream model training months later. The candidate pool is small. We pay top of band.

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

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

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

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We’re looking for a VP of Strategy and Corporate Development to join Duolingo’s Senior Leadership Team and drive strategy, planning and our growth via M&A. Reporting to the Chief Business Officer, the VP of Strategy and Corporate Development will manage our Strategy and Business Operations and Corporate Development functions. Strategy and Business Operations at Duolingo is fast moving and iterative and represents the majority of this role. We’re seeking a leader who’s excited to work at a founder-led company, comfortable with ambiguity, and collaborates well with product and technical teams. Corporate Development at Duolingo supports key company priorities, with a focus on acqui-hires and targeted capability acquisitions rather than large transformational deals. We’ve used M&A to build functions, establish offices, and expand into new subjects. We’re excited to continue and expand our M&A activity. This role is based in our Pittsburgh, PA or New York, NY office on a hybrid (4+1) work schedule. 🧠  You will... Partner with leaders across the company to develop strategies spanning our main Pillars: Growth, Monetization, Language Learning, and New Subjects (Math, Music and Chess). Generate insights that directly influence product experiments and drive impact. Run company-wide strategy and planning, driving alignment on strategic direction and resource allocation, including leading planning for Duolingo Board of Directors meetings. Support Duolingo’s growth through M&A, fully aligned with our strategy and key priorities, and working closely with Duolingo’s product and executive teams. Own Corporate Development end-to-end: source, evaluate, negotiate, and close acquisitions; coordinate cross‑functional diligence; and drive thoughtful integration. Lead and manage Strategy and Business Operations and Corporate Development teams (~10 people), setting the bar for your functional craft and empathizing with your team as people. Encourage your team to continue embracing new tools and technologies for insight generation and analysis, automation, and communication. ✅  You have... 20+ years relevant work experience in strategy, consulting, M&A, investment banking, or product management, and significant experience in technology companies. A demonstrated understanding of Duolingo’s business and future growth opportunities. A demonstrated track record of success in fast paced entrepreneurial work environments. Experience working closely with product and engineering colleagues. Excellent communication and analytical skills. Team leadership experience with a track record of hiring, developing, and managing high‑performing teams. Ability to work from our Pittsburgh, PA or New York, NY office on a 4+1 hybrid work schedule. ⭐  Exceptional candidates will have... Significant experience using Duolingo, and opinions about how to improve it. Leadership experience at a founder-led company. Experience at a leading consumer app. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $330,000 — $550,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. 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. As an experienced marketer at Canonical, you’ll lead cross-disciplinary teams of product, partner, or sales professionals in your specific area, from establishing priorities and strategies with senior stakeholders to delivering on integrated campaigns. We are looking for both generalists who want to take ownership of a product portfolio or channel, and for specialists who can help the whole team excel in their domain of expertise. Location: This is a globally remote role; you can be based in EMEA, APAC, or the Americas, depending on the team’s location. The role entails You will take ownership of one of our core marketing tracks and lead both strategy and execution. You’ll ensure campaigns land, launches succeed, and adoption grows, while contributing to the broader go-to-market engine. You will: Lead GTM strategy and campaign execution in your functional area Align with product, sales, content, and partner teams to deliver integrated plans Shape messaging, positioning, and assets that resonate with customers Design and run experiments to test your hypothesis Drive major launches, marketing initiatives, and growth programs Run reviews and retrospectives to improve performance and impact Mentor colleagues, strengthen the function, and set high standards for delivery What we are looking for in you Strong written and verbal communication in English Exceptional academic track record from high school and university Proven experience in B2B marketing, ideally in software, SaaS, or open source Strong track record shaping go-to-market strategy, messaging, and campaigns that move the pipeline Fast adaptation to change and new technology adoption in marketing A leader, growing and elevating others across the organization A solid eye for ROI and effective budget management Ability to influence and align stakeholders across the organization Excellent communication and storytelling skills for technical solutions Skilled at managing complex projects and leading cross-functional teams Comfortable using data to evaluate campaigns and refine strategy Proactive, outcome-driven, and confident, operating independently at a global scale Nice-to-have skills Background in sales-led or ecosystem growth Familiarity with ABM (Account-Based Marketing) approaches Experience leading go-to-market efforts across a large product portfolio Experience managing budgets, agencies, or external vendors Understanding of open source communities and business models Experience mentoring or leading junior marketers What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilization. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner. 🏠Fully remote working environment - we’ve been working remotely since 2004! 📚Personal learning and development budget of 2,000 USD per annum 💰Annual compensation review 🏆Recognition rewards 🏝 Annual holiday leave 👶Parental Leave 🧑‍💼Employee Assistance Programme 🧳Opportunity to travel to new locations to meet colleagues at ‘sprints’ 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: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Update: We will stop accepting new applications for this role on November 26, 2026. Summary GiveWell is seeking a Senior New Areas Researcher to help direct tens of millions of dollars annually to the most cost-effective interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. The New Areas team grantmaking is divided into three workstreams: i) our core cause areas: areas for which we devote a significant amount of time developing subject-matter specific expertise and networks, a thorough research agenda, and a large portfolio of grants (e.g., family planning, maternal and newborn health, tuberculosis and HIV); ii) our emerging cause areas: a broader set of cause areas for which the New Areas team is starting to build its expertise, networks and research agenda, and is making some initial grants (e.g., medical oxygen, applications of AI to global health); and iii) our incubators: supporting the Clinton Health Access Initiative’s Incubator and Evidence Action’s Accelerator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. As a Senior New Areas Researcher, you'll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell's grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment. We're open to a wide variety of professional development pathways depending on your preferences and our needs. The role You will be joining a small grantmaking team to contribute to our ambitious research agenda on new areas. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team. You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell new areas team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. What you might work on in your first year: Tackle thorny research questions in our existing portfolios. For example: to what extent could programs which distribute oral rehydration solution to reduce diarrheal deaths inadvertently induce exclusively breastfed children to consume poor quality water? How can we estimate the risk of reinfection after a child has completed a course of tuberculosis preventive treatment? How can we account for these concerns in our cost-effectiveness estimates? Design and oversee learning grants. You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models. Build our evidence base in new programmatic areas. This includes synthesising existing research, commissioning new reviews, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking. Provide research support to grantmakers. You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund — stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation. The Senior New Areas Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work. Team structure Our research department has ~70 people, and is currently organized into eight teams: Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) focus on specific areas of grantmaking. The New Areas team focuses on interventions in domains that are new to GiveWell. The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. Team values We think our research team has unique qualities: We care deeply and centrally about finding and sharing truth. Truth-seeking is one of our core values . We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong. We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs. We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions. Lean research team = huge personal impact. In 2026, our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future. We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly. About you We expect the Senior New Areas Researcher to have A quantitatively oriented advanced degree (e.g., in epidemiology, public health, economics, or a related field). Substantial professional experience in global health, or an adjacent field (broadly defined). This could include direct experience with program design, monitoring, or evaluation; epidemiology; cost-effectiveness modelling of health interventions; or work in program implementation or funding at a bilateral, multilateral, or NGO. We're especially interested in candidates who enjoy being generalists: you are able to get up to speed quickly on new topics and you feel comfortable task-switching. We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality: GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact. You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny. You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s. You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels. You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks. You love a gnarly problem . You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned. You constantly assess whether you and the team are working on the most important things. If you’re interested in working on GiveWell’s research team but don’t have new areas expertise, consider applying to our generalist Senior Researcher role, or our Researcher role if you have limited post-graduation experience. The details Compensation: We set salaries using a location-based tier system. Our pay for this role: NYC or the San Francisco Bay Area: $308,000. All other U.S. locations: $280,000 International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage. Benefits: Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year, plus a one week organization-wide summer break 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for. Visa sponsorship: The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas. Why we work this way: Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Travel: Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend quarterly whole-org and department retreats to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting family or other obligations. Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. Miscellaneous details: Please apply to only one Senior Researcher posting. If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage! After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our FAQs page ! We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible. We have a strong preference for full-time applicants, but we’ll consider applications for part-time work. We aren’t interested in reviewing applications for contract or project-based work at this time. You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Update: We will stop accepting new applications for this role on November 26, 2026. Summary GiveWell is seeking a Senior Nutrition Researcher to help direct tens of millions of dollars annually to the most cost-effective nutrition interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. Our nutrition grantmaking currently spans three sub-portfolios: Vitamin A Supplementation (VAS), iron supplementation (including iron and folic acid supplementation and large-scale food fortification), and treatment of acute malnutrition (CMAM/wasting treatment). In 2025, we directed $95 million to implementers across these areas, operating primarily in Sub-Saharan Africa and South Asia. We are actively deepening our work across all three areas, by scrutinising program coverage and quality, strengthening our cost-effectiveness models, considering different delivery platforms, and expanding our grantmaking to new geographies. We are also exploring opportunities to expand our grantmaking into interventions adjacent to our existing portfolios, as well as approaches and programs that are entirely new to GiveWell, where the evidence and cost-effectiveness case is compelling. As a Senior Nutrition Researcher, you'll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell's grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment. We're open to a wide variety of professional development pathways depending on your preferences and our needs. The role You will be joining a small grantmaking team to contribute to our ambitious research agenda on nutrition. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team. You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell nutrition team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. What you might work on in your first year: Tackle thorny research questions in our existing portfolios. For example: how should we calibrate our cost-effectiveness estimates to real-world program performance? How do we better understand coverage gaps and program quality across VAS, iron supplementation, and CMAM programs? How can we strengthen the evidence on the impact of VAS and CMAM in modern contexts, when many key trials are decades old but it would be unethical to withhold standard of care in new trials? Design and oversee learning grants. You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models. Build our evidence base in new programmatic areas. This includes synthesising existing research, commissioning new research, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking. Provide research support to grantmakers. You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund, by stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation. The Senior Nutrition Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work. Team structure Our research department is currently organized into eight teams: Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) focus on specific areas of grantmaking. The New Areas team focuses on interventions in domains that are new to GiveWell. The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. Team values We think our research team has unique qualities: We care deeply and centrally about finding and sharing truth. Truth-seeking is one of our core values . We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong. We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs. We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions. Lean research team = huge personal impact. In 2026, our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future. We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly. About you We expect the Senior Nutrition Researcher to have: A quantitatively oriented advanced degree (e.g., in epidemiology, statistics, economics, public health, nutrition or related fields) Substantial professional experience relevant to nutrition. We interpret this broadly: The majority of our work to date has been nutrition programming delivered through the health sector, but we are also interested in other sectors (e.g. agriculture/food systems) that directly affect nutrition outcomes. Relevant professional experience could include: research roles (e.g. clinical nutrition research; epidemiological or health economics modeling), program roles (e.g. design and implementation, or monitoring and evaluation); funding roles (e.g. grantmaking or impact investing); or other roles in public sector, private sector or non-profit organizations that save and improve lives by addressing malnutrition. We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality: GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact. You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny. You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s. You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels. You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks. You love a gnarly problem . You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned. You constantly assess whether you and the team are working on the most important things. If you’re interested in working on GiveWell’s research team but don’t have nutrition expertise, consider applying to our generalist Senior Researcher role, or our Researcher role if you have limited post-graduation experience. The details Compensation: We set salaries using a location-based tier system. Our pay for this role: NYC or the San Francisco Bay Area: $308,000. All other U.S. locations: $280,000 International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage. Benefits: Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year, plus a one week organization-wide summer break 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for. Visa sponsorship: The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas. Why we work this way: Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Travel: Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend quarterly whole-org and department retreats to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting family or other obligations. Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. Miscellaneous details: Please apply to only one Senior Researcher posting. If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage! After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our FAQs page ! We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible. We have a strong preference for full-time applicants, but we’ll consider applications for part-time work. We aren’t interested in reviewing applications for contract or project-based work at this time. You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE At Ramp, people are the single biggest lever on our trajectory, and the bar for who joins this team gets higher every quarter, not lower. We're hiring a Recruiter who treats recruiting as a research discipline as much as a relationship one: someone who can map a market, identify the operators who'll outperform their peers, and run a full-cycle process that wins them. You'll own end-to-end hiring across Sales and GTM functions, from first conversation through offer close, and partner with GTM leadership to translate ambitious hiring plans into real teams. The recruiters who do this best at Ramp combine craft on the front end (research, identification, calibration) with execution on the back end (closing, candidate experience, pipeline discipline). We're looking for both. WHAT YOU'LL DO - Use AI and research to find top talent. You'll build target lists of high performers at peer and aspirational companies using LinkedIn Recruiter, Sales Navigator, Gong signals, internal data, and AI tools like Claude. We expect AI to be part of your daily workflow, not a novelty, but a core part of how you identify, qualify, and reach candidates. - Calibrate quickly and map the market. For every new search, you'll develop a clear point of view on what "great" looks like, who fits the profile, and where to find them, then share that POV with hiring managers as a written artifact rather than just a slate of resumes. - Run thoughtful, personalized outreach. The best replies come from outbound that's grounded in real research, a candidate's territory, deal motion, or recent move. We care more about reply rate and onsite conversion than send volume. - Own the full cycle, from first outreach through offer close, including pipeline hygiene in Ashby, stakeholder updates, and offer construction. - Close candidates with competing offers. Many of our strongest GTM hires are weighing multiple options, and you'll partner with hiring managers and leadership to build conviction, sequence references, and run a closing motion that wins on substance. - Be a strategic partner to GTM leaders. Push back when a search is mis-scoped, surface compensation reality early, and translate hiring-manager wishlists into a concrete profile within days. - Deliver an excellent candidate experience that's fair, transparent, and fast. Feedback is honest; offers move in days, not weeks. - Improve how we hire by contributing to process changes, comp benchmarking, employer brand, and how Ramp evaluates GTM talent. WHAT YOU NEED - 5+ years of full-cycle GTM/Sales or G&A recruiting, ideally in a high-growth or top-tier startup environment where the bar was non-negotiable. - A real track record of identifying strong talent, not just running searches that closed. Bring examples of candidates you found, ran a process for, and who became top performers. - Comfort using AI in your day-to-day workflow. You already use LLMs to research candidates, draft personalized outreach, summarize calls, or surface signals from messy data, or you're eager to. We see AI fluency as core to how recruiting works going forward. - Research instincts. You can articulate why a given candidate is in the top decile of their cohort, not just that they have the right title at the right company. - Closing skill. You've personally closed senior hires against competing offers from top-tier companies. - Data literacy. You're comfortable in Ashby (or equivalent ATS) and with funnel metrics, and willing to challenge a hiring manager with the numbers when needed. - High urgency operating mode. You book next steps on the call, not after, and you own the candidate's experience through to signature. - Excellent written communication. Your outbound and your candidate updates are the work product, and they should be specific, sharp, and not template-driven. NICE-TO-HAVE - Direct experience recruiting AEs, Sales Managers, RevOps, or Sales Leadership at a high-growth fintech, SaaS, or infra company. - Experience building or contributing to an AI-augmented research workflow. - Familiarity with Ashby, LinkedIn Recruiter, Sales Navigator, and Gong. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native German speaker with fluent English proficiency Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE You’ll lead the Mobile AI engineering team, responsible for making Notion AI genuinely useful on phones and tablets. Mobile is where AI needs to work in the moment: when users are capturing ideas, catching up between meetings, asking questions, or trying to move work forward away from their desk.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Define and evolve the roadmap for Notion’s core mobile AI surfaces, including chat, capture, agent workflows, workspace Q&A, and lightweight creation flows. - Take new mobile AI ideas from exploration to shipped product, using prototypes, user feedback, and product data to decide what to build next. - Improve the production quality of mobile AI by identifying instrumentation gaps, reliability risks, and performance bottlenecks before they become user problems. - Help the team build the right technical foundations for fast iteration across mobile, web, and server boundaries. SKILLS YOU'LL NEED TO BRING - Engineering leadership: You have 2+ years managing engineering teams and have helped teams ship high-quality products at scale. - Hands-on technical leadership: You stay close enough to the code to guide architecture, performance, reliability, and release-quality decisions — and can make small contributions when it helps the team move faster. - AI product curiosity: You don’t need to be an AI researcher, but you are hands-on with AI tools and curious about how AI changes product development, engineering workflows, and user expectations. - Execution through ambiguity: You can turn open-ended product bets into clear strategy, sequencing, staffing, and delivery. - Cross-functional leadership: You work well with across different functions to define problems and ship polished outcomes. - People leadership: You recruit, coach, and grow engineers, build an inclusive team, and communicate clearly through disagreement. NICE TO HAVES - You’ve led teams building AI product experiences involving streaming UX, tool use, voice or multimodal input, evaluation loops, or reliability guardrails. - You’ve managed teams through 0→1 product development or fast iteration on new product surfaces. - You have experience with mobile platform concerns such as offline resilience, realtime collaboration, rich-text editing, app performance, or release quality at scale. - You’ve led teams delivering end-to-end product experiences across mobile, web, and server boundaries. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated base salary range for this role is $255k - $290k per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About the role AI-powered and agentic developer tools are changing what is possible, creating an opportunity to rethink how engineers write, test, review, ship, and operate software. At Reddit’s scale, that means building tools that are not only more intelligent, but also faster, more reliable, easier to use, and grounded in strong engineering fundamentals. This role sits at the center of that work: designing and building the platforms, services, systems, and workflows that improve how Reddit engineers develop software. You’ll work across backend systems, infrastructure, developer tooling, and AI-powered workflows to solve problems that affect hundreds of engineers across the company. You’ll collaborate closely with teams that own CI/CD, infrastructure, security, and product systems, as well as engineering teams across Reddit that rely on these tools every day. We’re looking for someone with strong engineering fundamentals, infrastructure experience, product judgment, and a real interest in developer experience and developer productivity. Some of our present and future challenges include: Designing and building the next generation of developer tooling, including agentic and AI-powered workflows. Improving developer velocity, confidence, and service reliability across Reddit Engineering. Building tools and workflows that make writing, testing, reviewing, and shipping code easier. Scaling our infrastructure, services, APIs, and processes to serve a growing engineering organization. Understanding internal users’ needs and turning that understanding into meaningful product and technical improvements. Building integrations across Reddit’s existing infrastructure, CI/CD, security, source control, deployment, and operational systems. Investigating, building, and integrating novel technologies where they solve real problems for developers. You’ll draw on your backend, infrastructure, and platform engineering experience to build developer tooling that is scalable, reliable, easy to use, and valuable to a growing engineering organization. You’ll work directly with engineers across Reddit to understand their pain points, shape solutions, incorporate feedback, and communicate the impact of the team’s work. What You’ll Do Work cross-functionally across Reddit Engineering to understand developer needs, quickly prototype solutions, and iterate based on feedback. Design and build backend systems, APIs, infrastructure, and platform capabilities that improve developer workflows across Reddit. Build scalable and reliable systems across both AI-powered developer workflows and the core non-AI systems engineers rely on every day. Lead high-impact projects across Reddit’s developer tooling ecosystem by writing and reviewing code and design docs, aligning stakeholders, and making pragmatic technical tradeoffs. Build tools and integrations that connect developer workflows with Reddit’s existing infrastructure, CI/CD, security, source control, deployment, and operational systems. Design and implement maintainable APIs, services, libraries, and platforms that support internal developer tooling at scale. Improve the team’s tools, processes, and best practices while raising the bar for reliability, usability, scalability, and maintainability. Mentor engineers and help shape a roadmap that reflects real developer needs and delivers meaningful improvements to Reddit’s engineering organization. You Have 5+ years of hands-on, post-grad, non-internship professional software development experience, with backend, infrastructure, or platform engineering as a core strength. 3+ years of industry experience working on large-scale distributed systems, including building and improving highly scalable and reliable services. Strong proficiency with Go, and significant experience with Go in production systems. Experience designing and implementing maintainable APIs using technologies such as GraphQL, REST, HTTP, or gRPC. Experience building platforms, developer tools, libraries, frameworks, or internal systems used by other engineers. Experience with infrastructure, Kubernetes, cloud providers, or other systems that support modern software development and delivery. Hands-on experience using AI-powered developer tools and workflows, with curiosity and judgment about where these tools can meaningfully improve developer productivity. A track record of leading large, ambiguous, high-impact projects that require cross-team collaboration, technical judgment, stakeholder alignment, and clear ownership from problem definition through delivery. A user-focused mindset, with strong empathy for internal engineering users and a focus on usability, reliability, scalability, and quality. Excellent communication skills, with the ability to influence technical direction and navigate complex requirements across technical and non-technical stakeholders. Experience mentoring engineers, raising the technical bar, and helping teams make pragmatic tradeoffs. A self-directed, action-oriented approach. You are comfortable operating in ambiguity, learning quickly, and driving work forward even when the path is not fully defined. Bonus Points Experience working in developer experience, developer productivity, internal platforms, or developer tooling. Experience building tools or workflows for internal engineering users. Experience building or extending CI/CD systems, and partnering with teams that own build, test, and release workflows. Experience with GitHub Enterprise Server or large-scale source control platforms. Experience with Python. Experience measuring the impact of platform or developer productivity work through experimentation, measured rollouts, analytics, reliability metrics, or qualitative feedback. Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Задачи: — Проектировать и развивать внутреннее AI-ядро: агенты, skills, tool use, routing, orchestration. — Строить и улучшать RAG-сценарии: retrieval, chunking, embeddings, reranking, доступ к знаниям. — Делать reusable-компоненты и шаблоны для аналитиков: skills, коннекторы, пайплайны, reference flows. — Интегрировать AI-платформу с внутренними системами, базами данных, API и корпоративными источниками знаний. — Настраивать observability, tracing, evaluation и контроль качества AI-пайплайнов. — Оптимизировать качество, latency, стоимость и устойчивость пайплайнов. Требования: — Практический опыт построения production RAG / agent / workflow-систем. — Опыт создания внутренних инструментов или платформ, которыми реально пользовались аналитики или бизнес-команды. — Умение работать на стыке engineering и enablement: собрать решение и сделать его понятным для пользователей. — Опыт интеграции AI-пайплайнов с корпоративными источниками данных, API и внутренними системами. — Умение разбирать сложные пользовательские сценарии и упаковывать их в reusable-механики платформы. Технический стек: • Python, SQL, FastAPI, API integrations, async, service-oriented development. • LangGraph, LlamaIndex, Haystack, Semantic Kernel. • Qdrant, pgvector, Weaviate, Milvus, OpenSearch, Elasticsearch. • Embeddings, hybrid search, metadata filtering, reranking. • Airflow, Prefect, Dagster, Temporal. • Langfuse, Phoenix, OpenTelemetry (или собственные подходы к tracing / observability / eval). • Docker, Linux, Kubernetes, CI/CD. Условия: — Ставка: обсуждается отдельно. — Готовность к редким командировкам в Ереван. — Работа в топовом финтех-направлении над уникальным AI-продуктом.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager focused on Algorithm and Search, you will be responsible for the deep, high-quality delivery of core Web3 Infra components — primarily the algorithm platform, search system, and related AI capabilities that serve Wallet, DEX, and other businesses. You will work closely with engineering, data, and data science teams to ensure that core problems are solved correctly, that products meet stringent performance, accuracy, and scalability bars, and that every release is reliable and production-grade. This role demands strong execution discipline, technical depth, and the ability to drive complex algorithmic and search problems from design through delivery. What You’ll Be Doing Algorithm Platform Development: Design and iterate the algorithm platform supporting on-chain data analytics, trading signal discovery, risk control, and recommendation scenarios. Own the full lifecycle of algorithm models — integration, evaluation, deployment, monitoring, and iteration — to ensure efficient and reliable outputs. Web3 Search System: Drive the product design and continuous optimization of the Web3 search system (across tokens, addresses, NFTs, transactions, protocols, and more). Improve relevance, recall, latency, and ranking quality through close collaboration with search and data engineering teams. AI Integration: Embed AI capabilities (AI Agent, LLM, embedding / vector retrieval) into algorithms and search products to deliver smarter on-chain intelligence and trading experiences. Validate model effectiveness, fine-tune, and productionize. Onchain Data and Smart Contract Analysis: Conduct deep research on smart contracts, protocol mechanics, and on-chain behaviors. Translate protocol-level insights into algorithmic features, search signals, and product improvements. Quality & Delivery Excellence: Own end-to-end delivery quality — from spec, to dev, to QA, to launch, to post-launch metrics. Build robust evaluation, monitoring, and iteration loops to ensure long-term product health. What We Look For In You Education: Bachelor's degree or above in Computer Science, Software Engineering, Statistics, or a related field. Work Experience: 5+ years of Product Manager experience. Strong preference for candidates with hands-on experience in algorithm platforms, search / recommendation systems, or AI products. Web3 industry experience is a plus. Technical Skills: Solid understanding of algorithm platforms, ML model lifecycles, evaluation metrics, and offline/online experimentation. Hands-on experience with search systems (indexing, ranking, relevance, retrieval) is highly valued. Proficiency in AI technology, AI Agent, LLM, embedding / vector retrieval, and AI application experience. Experience with blockchain fundamentals, smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies. Familiar with onchain and Web3 ecosystems, with active engagement in the crypto community. Soft Skills: Strong execution discipline, attention to detail, and ownership over delivery quality. Strong problem-solving skills, with the ability to break down complex algorithmic / search problems into solvable pieces. Excellent communication and collaboration skills with engineering, data, and data science teams. Fluent in English and Chinese. Nice to Haves Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies. Experience with on-chain trading and an understanding of on-chain opportunity discovery processes. Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-MX1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager focused on Algorithm and Search, you will be responsible for the deep, high-quality delivery of core Web3 Infra components — primarily the algorithm platform, search system, and related AI capabilities that serve Wallet, DEX, and other businesses. You will work closely with engineering, data, and data science teams to ensure that core problems are solved correctly, that products meet stringent performance, accuracy, and scalability bars, and that every release is reliable and production-grade. This role demands strong execution discipline, technical depth, and the ability to drive complex algorithmic and search problems from design through delivery. What You’ll Be Doing Algorithm Platform Development: Design and iterate the algorithm platform supporting on-chain data analytics, trading signal discovery, risk control, and recommendation scenarios. Own the full lifecycle of algorithm models — integration, evaluation, deployment, monitoring, and iteration — to ensure efficient and reliable outputs. Web3 Search System: Drive the product design and continuous optimization of the Web3 search system (across tokens, addresses, NFTs, transactions, protocols, and more). Improve relevance, recall, latency, and ranking quality through close collaboration with search and data engineering teams. AI Integration: Embed AI capabilities (AI Agent, LLM, embedding / vector retrieval) into algorithms and search products to deliver smarter on-chain intelligence and trading experiences. Validate model effectiveness, fine-tune, and productionize. Onchain Data and Smart Contract Analysis: Conduct deep research on smart contracts, protocol mechanics, and on-chain behaviors. Translate protocol-level insights into algorithmic features, search signals, and product improvements. Quality & Delivery Excellence: Own end-to-end delivery quality — from spec, to dev, to QA, to launch, to post-launch metrics. Build robust evaluation, monitoring, and iteration loops to ensure long-term product health. What We Look For In You Education : Bachelor’s degree or above in Computer Science, Software Engineering, or a related field. Work Experience : 5+ years of Product Manager experience. Strong preference for candidates with hands-on experience in algorithm platforms, search/recommendation systems, or AI products. Web3 industry experience is a plus. Technical Skills : Solid understanding of algorithm platforms, ML model lifecycles, evaluation metrics, and offline/online experimentation. Hands-on experience with search systems (indexing, ranking, relevance, retrieval) is highly valued. Proficiency in AI technology, AI Agent, LLM, embedding / vector retrieval, and AI application experience. Experience with blockchain fundamentals, smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies. Familiar with onchain and Web3 ecosystems, with active engagement in the crypto community. Soft Skills : Strong execution discipline, attention to detail, and ownership over delivery quality. Strong problem-solving skills, with the ability to break down complex algorithmic / search problems into solvable pieces. Excellent communication and collaboration skills with engineering, data, and data science teams. Fluent in English and Chinese. Nice to Haves Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies. Experience with on-chain trading and an understanding of on-chain opportunity discovery processes. Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong #LI-MX1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Dubai, United Arab Emirates Müller’s Solutions is seeking an experienced and results-driven ServiceNow Service Delivery Manager to oversee the delivery and performance of our ServiceNow solutions. In this role, you will be responsible for managing service delivery teams, ensuring alignment with business goals, and driving continuous improvement in ServiceNow platform operations. Key Responsibilities: Take full responsibility for the overall delivery of the ServiceNow platform services, encompassing: Continuous operations and support, ensuring the platform is always available, reliable, and performing optimally to meet organizational needs. Enhancements driven by the backlog, prioritizing and implementing improvements and new features that align with business objectives and user feedback. Coordination of releases and deployments, managing schedules, resources, and communication to guarantee smooth transitions and minimal disruption. Serve as the main escalation point and decision-maker for delivery-related issues, ensuring that: Problems are resolved quickly through effective troubleshooting, root cause analysis, and engagement with relevant teams. Risks are effectively controlled by proactively identifying potential issues and implementing mitigation strategies. Delivery obligations are fulfilled in accordance with agreed timelines, quality standards, and contract requirements. Collaborate closely with stakeholders to: Comprehend and prioritize demands, balancing competing needs to deliver maximum value to the organization. Question and verify requirements when necessary, ensuring clarity, feasibility, and alignment with strategic goals. Guarantee alignment between business objectives and platform capabilities, facilitating seamless integration and optimal use of ServiceNow features. Provide strong leadership to the delivery teams, which include: Technical consultants and developers, guiding them to apply best practices, innovate, and maintain high code quality. Business analysts, supporting requirement gathering, documentation, and communication between business and technical teams. QA and support personnel, ensuring thorough testing, issue identification, and responsive support services. Lead delivery governance and uphold standards, ensuring: Consistent development practices that adhere to organizational policies and industry standards. Controlled release processes that minimize risk, ensure quality, and provide clear documentation. Alignment to platform design and reuse principles, promoting efficient, maintainable, and scalable solutions. Ensure quality and accountability across delivery, including: Reviewing progress against commitments, conducting regular status meetings and reporting to stakeholders. Monitoring delivery KPIs and SLAs, analyzing performance data to identify trends and areas for improvement. Supporting issue resolution and performance improvement initiatives to enhance service quality and customer satisfaction. Act as a trusted point of contact for stakeholders, capable of: Representing technical and functional decisions clearly and effectively, bridging communication between business and IT teams. Managing expectations and resolving conflicts diplomatically to maintain positive relationships and project momentum. Standing behind delivery teams with confidence, advocating for resources, and providing guidance to overcome challenges. Support continuous improvement of service delivery, including: Identifying inefficiencies and bottlenecks through regular process reviews and feedback collection. Driving optimisation of processes and workflows to increase efficiency, reduce costs, and improve user experience. Promoting effective use of ServiceNow capabilities by encouraging adoption of new features, best practices, and ongoing training. Requirements 7 to 10+ years of experience in Service Delivery, with extensive knowledge of ServiceNow platforms, including: In-depth understanding of various ServiceNow modules and features such as: ITSM ITOM / CMDB HRSD / enterprise services CSM Capable of: Confidently engaging with both technical teams and business stakeholders Critically evaluating requirements and assumptions when necessary Converting high-level requirements into actionable delivery strategies Demonstrated experience in managing: Multiple ServiceNow delivery streams, including operations and enhancements Backlog-driven development prioritization Cross-functional teams Strong knowledge of: Service delivery models and governance frameworks Management of SLAs and KPIs Release and change management procedures Ability to: Assertively participate in stakeholder discussions and justify delivery decisions Effectively support and represent delivery teams Maintain control in complex or high-pressure situations Preferred Qualifications: ITIL Foundation or higher certification ServiceNow Certified System Administrator or other relevant certifications Experience working with Agile methodologies and project management tools Familiarity with automation and workflow optimization within the ServiceNow platform Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

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 inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance. Key Responsibilities Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them Own and improve the correctness evaluation pipeline that validates model output quality across hardware platforms, numerics, and serving configurations, and lead the investigation when it catches a regression Build the observability, dashboards, and modeling tools that make throughput, latency, cost, reliability, correctness, and their interactions legible across the stack Partner with kernel, serving, routing, autoscaling, and capacity teams to prioritize and land the highest-impact optimizations your analysis surfaces Ruthlessly stack-rank a large surface area of opportunities by impact and effort, and say no to the ones that don't make the cut Minimum Qualifications Hands-on performance engineering experience: profiling, roofline analysis, latency/throughput optimization, and root-cause investigation in complex production systems Proficiency in Python, with the ability to read, instrument, and contribute to large production codebases you didn’t write Solid data analysis skills (e.g. SQL, pandas, or similar) sufficient to turn raw telemetry into clear findings Ability to communicate quantitative results clearly in writing to influence priorities on teams you don't manage Genuine interest in correctness as an engineering discipline: numerics, evaluation design, regression detection Preferred Qualifications Experience with ML systems, especially training or inference infrastructure or general LLM serving stacks. Direct large-scale inference experience is a strong plus Familiarity with GPU/TPU/accelerator performance concepts (memory bandwidth, kernel overheads, quantization, collective communication). Reasoning about these matters more than having written kernels yourself Experience with reliability engineering for high-throughput services: autoscaling, load balancing, request routing, tail latency Experience with model evaluation or numerical regression-detection pipelines Experience building observability or telemetry for distributed systems Comfortable having impact through influence and evidence rather than direct ownership Representative Projects Trace a 350ms latency gap on a new accelerator platform from end-to-end request timing down to a server scheduling overhead, quantify the win, and land the fix directly or with the owning team Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends Build a FLOPs funnel that breaks down where compute actually goes across the fleet, exposing the gap between achieved throughput and kernel rooflines Root-cause a numerical divergence between two hardware platforms to a specific kernel change, and define the acceptance threshold going forward Model the latency–cost impact of changing batch-sizing and utilization targets, and turn the result into the signal the autoscaler uses in production 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: $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.