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Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Algorithmic Trading Team is looking for a Site Reliability Engineer for our Chicago office.  The SRE team is critical to the success of our trading – ensuring that our production trading systems, test environment and research pipeline are working flawlessly. We’re looking for a Site Reliability Engineer who thrives at the intersection of software, trading and infrastructure – someone who creates observability that surfaces issues before they ever cause a problem, owns the response when things go wrong, and relentlessly drives automation that eliminates friction and keeps our team focused on our goals. What you will do: Work with software engineers and traders to provide 24/7 first line support of our trading, testing, and research environment. Proactively monitor and identify issues before they impact trading.  Define and automate observability around application SLAs and build anomaly detectors that surface problems early. Oversee and maintain our test trading environment.  Keep the environment running smoothly and pursue automation of routine interventions required to maintain a stable test platform for development. Standardize CI/CD and operational processes across development teams to reduce friction and speed up delivery.  Improve deployment scripts and release verification processes. Perform stress tests and verify SLAs under load. Work with application and devops engineers to design and improve support for this type of testing. Work closely with traders, engineers, system administrators, data centers, networking, and other shared services. What you will need: Bachelor's degree in computer science or equivalent practical background. 3-10+ years of hands-on software development or SRE Experience Demonstrated experience with observability tools – logging, metrics and tracing Hands on development experience in scripting languages like Bash, Python, or Ruby An automation-first approach to problem solving – you understand that manual processes don’t scale, and your instinct is to eliminate them before they become a bottleneck. Demonstrated knowledge of network communications including comprehensive understanding of the Linux TCP-IP stack, use of multicast networking, and network protocol interactions. Solid diagnostic capabilities from the application layer through the network and low-level hardware. Experience with network capture and time synchronization. High level of ownership and accountability, reliability, and strong follow through. Positive AI mentality and experience with AI agents to accelerate SRE tasks. The annual base salary range for this position is $130,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-GV1

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? At Fin you'll be a Systems Engineer in IT, working on evolving our IT infrastructure with a focus on deliverability, identity & access management and compliance. This is a great opportunity to join an ambitious AI-native IT team that leverages SaaS-based solutions to be at the forefront of business process and employee lifecycle automation. If you're coming from a traditional systems engineering or DevOps background, this role will expand the scope of your experience to truly agile, modern cloud environments. If you're already in the identity management and employee lifecycle automation space, this is the chance to take an ambitious next step in your career and be part of an engineering organisation that is scaling at incredible speed. What will I be doing? Build and own automations. Design efficient, maintainable automations across identity & access management, endpoint management, security, compliance and corporate email deliverability, using AI tooling and no-code platforms like Tines and Workato. Evolve corporate IT infrastructure. Take part in high-impact cross-organisational projects to integrate and expand our infrastructure, with a strong emphasis on infrastructure-as-code. Champion automation and AI adoption. Govern and promote adoption through enablement and education, eliminating friction and toil and lead impact across the organisation in line with our values. Evaluate and adopt new tooling early. Trial emerging features and products, including as beta testers, to optimise how the organisation works. Strengthen security posture. Drive IT incident response alongside InfoSec and engineering and partner with InfoSec on corporate and AI security standards, risk management and data protection for business-critical workflows. What skills do I need? First and foremost, you must have a passion for systems and automation and the desire to develop your skills in a fast-moving company! Having experience with iPaaS platforms and enterprise email deliverability are a plus. You have 3 to 5 years of experience as a Systems Engineer and possess great problem-solving skills with the ability to challenge assumptions by making data-driven discoveries and finding corresponding solutions. You have good knowledge of a high-level programming language, e.g. Ruby, Python, Perl etc… Note that the language doesn’t have to be one that we use here! You have experience building and operating systems in the cloud, without a traditional corporate network perimeter. Our primary IT infrastructure is built on AWS, Okta, Google Workspace, Jamf Pro, Intune, Tines and Workato. Nice to have: You have built robust, scalable integrations between billing and an ERP system, preferably Netsuite. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $142,000 - $162,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Gdańsk; Hungary Workplace: onsite Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5, 000 specialists.  The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe. Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements. Key Responsibilities: Quality Governance: Establish and maintain the department’s quality standards, ensuring they align with global best practices and organizational goals. Strategic Contracting: Act as a key technical expert during contract negotiations, defining robust Quality Assurance Agreements (QAA) , warranty terms, and enforceable penalty frameworks for non-compliance. Supplier Audits & Lifecycle: Lead the end-to-end supplier qualification process (AVL), conducting rigorous on-site and remote technical audits to evaluate manufacturing capabilities and risk profiles. Performance & Compliance: Drive supplier excellence through systematic Scorecard evaluations and the SCAR (Supplier Corrective Action Report) process, ensuring root-cause elimination via 8D or similar methodologies. Supply Chain Resilience: Collaborate with partners to optimize packaging, warehousing, and logistics, specifically aiming to eliminate transit-related defects and reduce logistics waste. Strategic Leadership: Design and execute the development strategy for the IQC (Incoming Quality Control) and SQ divisions, fostering a high-performance culture through continuous training and mentorship. Engineering Oversight: Lead the engineering team in proactive defect prevention, ensuring that technical requirements are met before mass production begins. Key Requirements: Education: Bachelor’s or Master’s degree in Electrical/Mechanical Engineering or a related technical field. Professional Experience: 3+ years in Supplier Quality Management, ideally within high-tech electronics, systems assembly, or automotive industries. Technical Proficiency: Expert ability to interpret complex technical drawings, specifications, and schematics. Standards & Frameworks: Deep understanding of ISO 9001 (mandatory) Quality Toolkit: Mastery of core quality tools: APQP, PPAP, 8D, 5 Whys, Ishikawa, and FMEA . Communication & Languages: Intermediate+ English (fluent professional correspondence and negotiation). Chinese (Mandarin) is a significant "nice-to-have" for direct communication with Asian manufacturers. Soft Skills: Strong analytical mindset, "system-first" approach to problem-solving, and the ability to influence partners in a high-pressure environment. Mobility: Readiness for business travel (up to 20-30% of the time, including international trips). We Offer: Opportunity to work in one of the most recognized and innovative security manufacturers. Opportunity to take on new challenges, advance your career, and make a meaningful impact. Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas.

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 Researcher on our Cross-Cutting team to help us make better funding decisions across our entire portfolio. The Cross-Cutting team works on methodological questions, research quality, and big-picture problems that don't sit naturally inside any single program area. Cross-Cutting team’s work has included pressure-testing our work through retrospective evaluations of completed grants ( "lookbacks" ) and scrutinizing grantmaking areas ( "red teaming" ), collecting more on-the-ground quantitative and qualitative information to check what our grantmaking might be missing, looking for ways to use AI to improve our research process, experimenting with new ways to solicit feedback , figuring out how to quantify the “value of information” in our grantmaking, and answering thorny research questions that affect our entire portfolio. As a Senior Cross-Cutting Researcher, you'll shape ambitious research agendas that cut across GiveWell's portfolios and answer complex questions that inform grantmaking decisions across the organization. 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 team focused on the methodological and cross-portfolio questions that shape how GiveWell does research. You'll sift through the countless questions we could try to answer, hone in on those that matter most, and partner with grantmaking teams (Malaria, Water, Nutrition, Vaccines, Livelihoods, New Areas) to pressure-test and extend their work. 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 GiveWell faces across its grantmaking. 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. In the course of your work, you might approach questions like: Are our grants actually achieving what we predicted? How do we know, and how can we improve our decisions over time? How do we systematically incorporate field insights, monitoring data, and external feedback into our work? How do we design M&E systems that tell us whether grants are working, not just whether grantees are reporting what we asked for? How can we use AI tools to speed up or increase the quality of our work? How should we model spillover effects? Do health programs affect income, and vice versa? Are we consistent in how we handle this across program areas? How should we set our cost-effectiveness bar over time when funding and spending vary unpredictably year to year? How should we value averting a death versus improving health outcomes versus increasing income? (Our "moral weights" problem) Where are the systematic risks in our research (i.e., the areas where if we're wrong, we're making big mistakes in how we allocate funding)? Team structure Our research department is currently organized into eight teams, including Cross-Cutting: Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking. The New Areas team focuses on interventions in domains that are new to GiveWell. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. The Cross-Cutting team works closely with other grantmaking teams. Projects typically involve partnering with a team to pressure-test or extend their work, or running methodological projects that set standards across the department. 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 Senior Cross-Cutting Researchers typically have quantitatively oriented advanced degrees and substantial relevant experience using empirical tools to make rigorous, evidence-based decisions in the real world. Practically, our senior research staff typically has 5-10 years of post-grad work experience prior to joining GiveWell. We're happy to consider applicants who do not have advanced degrees, but we'll look for a commensurate amount of relevant experience. 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. Senior Cross-Cutting Researcher vs. other Senior Researcher roles We're hiring Senior Researchers for both our Cross-Cutting team and our grantmaking teams. If you're energized by variety and methodological questions that span multiple program areas, Cross-Cutting may be a better fit. If you're excited to develop deep expertise in a specific program area and eventually own a grantmaking portfolio, our grantmaking-team-specific Senior Researcher roles (e.g., Senior Malaria Researcher or Senior Livelihoods Researcher) may be a better fit. Not sure? Apply to whichever sounds more appealing—we'll help you figure out the right fit during the process, and we're open to moving candidates between tracks. 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 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 note that our hiring process consists of the same work trials for the following roles: Researcher, Senior Researcher, Senior Cross-Cutting Researcher, Senior Livelihoods Researcher, Senior Malaria Researcher, Senior New Areas Researcher, Senior Nutrition Researcher, Senior Vaccination Researcher, and Senior Water Researcher. If, within the last year, you applied and were rejected for one of these roles, you should hold off on applying to the other roles, unless explicitly asked to do so by a member of our team. If you're interested in all of these roles, please just apply once and note in your application that you'd like to be considered for the other roles, too. 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’re aiming to hire four to six full-time Senior Researchers. 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: Armenia 🔹 100% remote | 🌎 Global team | ⏳ Full-time If you’re looking to work on cutting-edge AI products, solve challenging problems, and be part of a fast-moving, high-talent team, you’ll love it here. Join NineTwoThree AI Studio, a remote-first product design and engineering studio, founded in 2012 and based in Boston. We build AI-powered web and mobile apps for established brands and large enterprises. You’ll work with really smart people - the kind of teammates who challenge you, push you forward, and make you better. We move fast and focus on getting things done. We've been growing 20% every year for the last 5 years, which means there’s plenty of room for career growth and promotions. Our work speaks for itself - some of our customers found us through five layers of referrals. That’s how much people appreciate what we do. We run on clear processes and strong leadership, so while we move quickly, we don’t do chaos. We do high-quality work, and we do it right. We focus on products with a positive impact in various domains from sports and health, to logistics and nuclear. But if you're into gambling, adult entertainment, or crypto, we’re not your place. What You’ll Do Drive 2-3 projects in the active stage from start to finish and deliver value to our customers. Define project requirements and deliverables, plan and manage their execution, monitoring and adjustments. Interpretation of business requirements to the technical team and vice versa. Estimating development efforts. Participating in customer calls and providing a project update to the customer. Organizing and keeping up-to-date Project boards. Documenting tasks: timeline, user stories and developer's tasks incl. detailed Acceptance Criteria. Coordinating the development teams including QA and designers. Testing the system before the releases. Taking full responsibility and ownership for project delivery. Monitor project progress, identify potential risks or bottlenecks, and proactively address them Helping with onboarding newcomers and mentoring Junior PMs. Requirements Who We’re Looking For 4+ years of managing software development projects (Web and Mobile, AI/ML will be a plus). IT background (technical understanding of web and mobile application development). Excellent communication and presentation skills to communicate effectively with customers and project teams. Experience in managing projects in Agile and Waterfall environments. Knowledge of business analysis and process description, incl use cases, user stories, visual thinking/drawing. Experience in distributed teams management. Manual testing experience. Ability to work independently and with a team in a dynamic project environment. Attention to details. Upper-Intermediate level of English or higher Benefits What's The Process We value your time and ours and make the process fast and easy. Interview with HR, test challenge, interview with Head of PM and PM, interview with COO and CTO, Offer. Join us!

Location: South Africa; Pakistan; Philippines; Poland; Romania; Spain About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Job Type: Full-time Location: Remote About the Company Our client is a growing European business focused on leveraging data-driven decision-making to improve performance across sales, customer operations, finance, and business strategy. They are investing heavily in modern analytics infrastructure and seek an experienced Business Intelligence Analyst to transform complex data into actionable business insights. Job Summary We’re looking for a highly analytical and technically skilled Business Intelligence Analyst to own reporting, analytics, and business insight generation across a European operation. This is an exciting opportunity for someone passionate about Power BI, Microsoft Fabric, CRM analytics, SQL, and business intelligence reporting. You’ll act as the analytical engine of the business, helping leaders make smarter, data-led decisions through dashboards, forecasting, and strategic insights. This role goes beyond building reports—you’ll proactively identify trends, opportunities, and risks while becoming a trusted partner to leadership teams. Ideal candidates have experience in business intelligence, data analytics, reporting automation, and executive stakeholder engagement. Key Responsibilities Reporting & Dashboard Development Design, build, and maintain Power BI dashboards and reporting solutions for key business metrics. Own the reporting lifecycle from requirements gathering through deployment and ongoing optimization. Manage report accuracy, performance, data refreshes, and KPI consistency. Continuously improve existing reporting assets as business needs evolve. Microsoft Fabric & Data Engineering Build and manage scalable data pipelines using Microsoft Fabric technologies including Lakehouses, Warehouses, and Data Pipelines. Develop semantic models and support self-service analytics initiatives. Ensure data governance, quality, and consistency across systems. Collaborate with technical teams to improve data architecture and integrations. CRM & ERP Analytics Integrate and analyze data from Microsoft Dynamics 365 CRM and ERP platforms. Develop dashboards covering sales pipeline performance, customer activity, account performance, inventory, and operational metrics. Maintain data integrity across multiple systems to provide a unified business view. Business Insights & Strategic Analysis Analyze business trends, anomalies, and opportunities. Deliver regular business insight reports and executive presentations. Identify risks and opportunities before they materially impact performance. Build forecasting models, trend analysis, and scenario planning initiatives. Stakeholder Engagement Partner with leaders across sales, operations, and finance teams. Translate business needs into analytical solutions. Promote data literacy and support self-service reporting initiatives. Document KPIs, reporting logic, and analytical standards. Requirements 3–5+ years of experience in Business Intelligence, Data Analytics, Reporting, or a related field Advanced experience with Power BI including data modeling and dashboard development Strong hands-on experience with Microsoft Fabric Experience with Microsoft Dynamics 365 CRM analytics and reporting Strong SQL skills for querying and data transformation Experience translating complex data into executive-level insights Excellent communication and stakeholder management skills Strong analytical thinking and commercial awareness Experience supporting European or multi-country operations Knowledge of Microsoft Purview and Azure Data Services Forecasting or predictive analytics experience Experience within manufacturing, distribution, or wholesale industries Power Automate exposure for workflow automation Benefits 💰 Competitive salary package based on experience and technical expertise 🌍 Remote-first working environment with flexibility 📊 Work with cutting-edge Microsoft data technologies including Fabric and Power BI 🚀 Join a growing organization investing heavily in analytics transformation 📈 High visibility role with direct impact on strategic business decisions 🤝 Collaborate with senior leaders across European markets 🎯 Opportunity to shape reporting strategy and become a trusted business advisor 📚 Ongoing professional development and learning opportunities

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. Ramp is building an AI-native platform that changes how Go-to-Market and Product Growth teams create, launch, and improve customer-facing experiences. We are looking for a product-minded backend engineer to help build the infrastructure and services that power modern growth and marketing at Ramp. The next chapter for this team is to build marketing-led products: intelligent tools that turn strategy into execution, automate complex workflows, and help teams operate across channels with dramatically more leverage. The team will build across creative production, lifecycle marketing, paid media, account-based marketing, experimentation, incentives, and cross-channel orchestration. Examples include AI-powered systems that produce on-brand campaign assets, automate complex marketing workflows, coordinate audiences and execution, and deliver personalized experiences across email, sales outreach, external channels, and Ramp’s product. A core part of this mandate is Ramp’s incentives platform. We are building shared infrastructure to safely target, authorize, distribute, redeem, and measure incentives across channels and mediums—including in-app experiences tied to product adoption and growth goals. This requires combining marketer-friendly workflows with governed policies, budget controls, reliable financial operations, and closed-loop measurement. You will work at the intersection of product engineering, AI, data, marketing, and financial infrastructure. The ideal candidate is a product-minded backend engineer who can translate ambiguous workflows into durable systems. You will build the data models, APIs, integrations, and orchestration capabilities that allow marketers, product teams, and AI agents to safely execute complex work end to end. WHAT YOU’LL DO - Build the backend systems that power AI-native marketing and growth products across creative production, experimentation, incentives, and cross-channel orchestration. - Build shared incentives infrastructure for eligibility, targeting, policies, budgets, authorization, issuance, redemption, and outcome tracking. - Enable personalized content and offers across email, sales workflows, external channels, and in-product experiences using shared customer and campaign context. - Design reliable orchestration for long-running work, approvals, scheduling, retries, human intervention, and safe AI or financial execution. - Connect marketing actions and incentive spend to measurable activation, conversion, retention, and revenue outcomes. - Partner across Marketing, Product Growth, Product, Data Science, Finance, and GTM Platform to own systems from early discovery through production adoption and iteration. WHAT YOU NEED - 5+ years of software engineering experience building production backend systems, with strong proficiency in Python or another modern server-side language. - A track record of owning production services, APIs, data models, and distributed or event-driven workflows. - Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability. - Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions. - Experience applying AI to real product workflows—or strong interest in doing so—with an understanding of where deterministic controls and human approval are required. - Excellent cross-functional communication and a bias toward rapidly shipping measurable user and business outcomes. NICE TO HAVES - Experience building incentive, rewards, promotion, loyalty, payments, ledger, or financial-authorization systems. - Experience building workflow engines, automation platforms, agent systems, or orchestration infrastructure. - Experience with lifecycle marketing, product growth, paid media, experimentation, CRM, or other marketing technology. - Experience designing human-in-the-loop AI systems, including approvals, evaluations, tool execution, and recovery. - Experience with customer-data platforms, identity systems, behavioral event streams, or analytical data infrastructure. - Experience building experimentation or attribution systems that connect interventions to customer and business outcomes. 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: Remote USA Workplace: remote ABOUT YOU We're looking for a commercially driven, analytically sharp, and results-oriented Account Manager to join the Xsolla Offerwall team. This is an exciting opportunity to own the advertiser side of a premium rewarded inventory network at the intersection of mobile gaming, user acquisition, and advertising technology. The best candidate is someone who thrives in a fast-paced, highly collaborative environment and is passionate about helping game studios achieve their acquisition goals through performance-driven advertising. In this client-facing role, you'll build and grow relationships with gaming studios and UA teams, optimizing campaign performance and ensuring partners get measurable results through Xsolla's Offerwall. You'll serve as a trusted advisor to advertisers, translating data into actionable strategies, and collaborate closely with Xsolla's product, operations, and technical teams to continuously improve the partner experience. Strong account management skills, a deep familiarity with mobile gaming and performance advertising, and the ability to balance day-to-day campaign management with long-term partner growth will be key to your success. If you're energized by the intersection of gaming and performance marketing and love building meaningful advertiser relationships, we'd love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500+ game developers reach more players and grow their businesses around the world. For more information, visit xsolla.com. Responsibilities: Strategic Account Ownership Own a portfolio of strategic advertiser and demand-side accounts running high-value user acquisition campaigns on the Xsolla Offerwall, serving as the senior point of contact for both day-to-day management and long-term strategic growth. Drive revenue growth by identifying and closing upsell and expansion opportunities within existing accounts, and by leading the onboarding of new, high-priority demand partners aligned with Xsolla's publisher network. Act as a trusted advisor to UA and monetization leadership at partner studios, providing senior-level guidance on budget allocation, creative strategy, targeting, and bid optimization within the Offerwall environment. Problem Solving & Diagnostics Serve as the escalation point for the most complex, ambiguous account issues — performance anomalies with no obvious cause, cross-functional breakdowns, or conflicts between partner expectations and platform capabilities — and drive them to resolution. Approach every issue methodically: isolate variables, form and test hypotheses against the data, and distinguish root causes from surface-level symptoms before recommending a fix. Monitor campaign performance closely, using KPIs such as CPI, CTR, ROAS, ARPDAU, and LTV to diagnose issues, surface insights, and recommend optimizations that improve outcomes for advertisers. Anticipate risk before it materializes — using pattern recognition from past account issues to flag potential problems proactively and build safeguards into partner strategies. Coach and support other account managers in developing a structured, diagnostic approach to partner problems, raising the problem-solving bar across the team Strategy & Cross-Functional Influence Develop and present data-driven business reviews, campaign recaps, and growth roadmaps that translate performance metrics and problem resolutions into clear, executive-ready strategies for partners. Collaborate cross-functionally with Xsolla's product, operations, and technical teams to relay partner feedback, resolve campaign blockers, and directly influence the product roadmap based on patterns observed across your account portfolio. Stay current on trends in mobile user acquisition, rewarded advertising, and the broader AdTech landscape, and translate those trends into forward-looking recommendations for partners and internal stakeholders. Manage multiple high-value accounts and competing priorities simultaneously, consistently delivering results in a fast-paced and evolving environment. Qualifications & Skills: Experience 5+ years in account management, sales, or business development within AdTech, mobile advertising, user acquisition, or a related performance marketing field, with a track record of managing strategic or high-value accounts. Demonstrated history of growing advertiser accounts, exceeding revenue targets, and managing complex client relationships end-to-end, including through periods of ambiguity or account distress. Problem-Solving Mindset A structured, hypothesis-driven approach to ambiguity — able to break down a messy, undefined problem into testable pieces rather than waiting for someone else to define the issue. Proven track record of resolving complex, cross-functional issues independently, with sound judgment on when to dig in personally versus when to mobilize the right internal stakeholders. Genuine curiosity about "why" — treats every escalation or performance dip as a question to be answered with data, not just a ticket to be closed. Resilience and resourcefulness when the first solution doesn't work; iterates quickly and knows how to course-correct without losing partner confidence. Comfortable being the person others turn to when a problem doesn't have a clear owner or an obvious answer. Analytical Strength Comfortable working with performance data and KPIs including CPI, CPM, CPC, CTR, ROAS, ARPDAU, and LTV, using them not just to report performance but to drive root-cause diagnosis. Able to diagnose campaign performance issues, interpret trends, and translate data into concrete, strategic recommendations for partners. Proficient in tools such as Google Sheets, BI dashboards, and CRM platforms. Industry Knowledge Deep understanding of mobile user acquisition strategies, rewarded advertising mechanics, and performance marketing models. Strong familiarity with the gaming publisher and advertiser ecosystem, including how game studios approach UA spend, retention, and LTV optimization. Experience with offerwalls or rewarded ad networks strongly preferred. Communication & Collaboration Exceptional written, verbal, and presentation skills; able to communicate campaign performance, strategic recommendations, and problem resolutions clearly to both technical and executive-level stakeholders. Proven ability to work cross-functionally with product, operations, and technical teams to deliver for clients and drive issues to closure. Skilled at building trust with partners and maintaining long-term relationships grounded in accountability, transparency, and results — especially when the news isn't good. Mindset Proactive, entrepreneurial, and commercially oriented — takes full ownership of outcomes and thrives with minimal oversight. Views obstacles as puzzles to be solved rather than blockers to be escalated. Comfortable managing multiple high-stakes accounts and adapting to shifting priorities in a fast-moving environment. Curious and growth-focused, with a genuine interest in the intersection of gaming and performance advertising, and a desire to mentor others. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Demand Account Manager, we will conduct a background check that may include the following:  Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Working with vulnerable populations Handling sensitive financial information/managing budgets/accessing funds Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: London, England, United Kingdom Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a ML Engineer to join our Data Science team, a future-looking technical arm of Graham. We envision, design, prototype and implement the processes that feed Quantitative Research and Discretionary Trading teams as well as the broader firm. We are passionate about what we do and welcome every opportunity to prove it. The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work to transform our business through data, technology, and the insights we provide our stakeholders. At Graham, our systems feed live models around the clock, span billions of market data ticks, an ever-increasing corpus of news and other texts as well as a broad spectrum of financial and alternative data. Our objective is to support the research process by providing our stakeholders with all the right pieces to succeed in their jobs. Responsibilities You will be part of a growing team within Data Science. You will work alongside world-class talent to find innovative solutions to some of the most interesting problems on the buy-side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund. Requirements Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets Experience writing production code for multi-client systems serving model results is a great plus Ability to clearly communicate research findings to technical and nontechnical stakeholders Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments Experience with scientific computing, statistics, optimization, time series, panel data, etc. Comfortable handling multiple projects to solve varied problems working with multiple teams Detail-oriented mindset Sense of ownership of his/her work, working well both independently as well as collaboratively This role requires commuting into our London office Mondays through Fridays.

Location: Tel Aviv DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Algorithmic Trading Team is looking for a Site Reliability Engineer for our Tel Aviv office.  The SRE team is critical to the success of our trading – ensuring that our production trading systems, test environment and research pipeline are working flawlessly. We’re looking for a Site Reliability Engineer who thrives at the intersection of software, trading and infrastructure – someone who creates observability that surfaces issues before they ever cause a problem, owns the response when things go wrong, and relentlessly drives automation that eliminates friction and keeps our team focused on our goals. What you will do: Work with software engineers and traders to provide 24/7 first line support of our trading, testing, and research environment. Proactively monitor and identify issues before they impact trading.  Define and automate observability around application SLAs and build anomaly detectors that surface problems early. Oversee and maintain our test trading environment.  Keep the environment running smoothly and pursue automation of routine interventions required to maintain a stable test platform for development. Standardize CI/CD and operational processes across development teams to reduce friction and speed up delivery.  Improve deployment scripts and release verification processes. Perform stress tests and verify SLAs under load. Work with application and devops engineers to design and improve support for this type of testing. Work closely with traders, engineers, system administrators, data centers, networking, and other shared services. What you will need: Bachelor's degree in computer science or equivalent practical background. 3+ years of hands-on software development or SRE Experience Demonstrated experience with observability tools – logging, metrics and tracing Hands on development experience in scripting languages like Bash, Python, or Ruby An automation-first approach to problem solving – you understand that manual processes don’t scale, and your instinct is to eliminate them before they become a bottleneck. Demonstrated knowledge of network communications including comprehensive understanding of the Linux TCP-IP stack, use of multicast networking, and network protocol interactions. Solid diagnostic capabilities from the application layer through the network and low-level hardware. Experience with network capture and time synchronization. High level of ownership and accountability, reliability, and strong follow through. Positive AI mentality and experience with AI agents to accelerate SRE tasks. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-GV1

Location: Sydney, Australia 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 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. As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Key responsibilities Lead.  This is a role where leadership trumps management and process.  You will be expected to be at one or more project sites in adequate amount to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, contractors, and key trades bring to the project(s) you are overseeing.  That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint You may be a good fit if you: Have 8+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale within Australia.  You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team. Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties. You should understand the nuances of data center design and construction in Australia- who the players are, what contractual norms get in the way of speed of delivery, how teams can be incentivized to build and deliver faster than normal. In this role you will often be on an island and responsible for your own destiny.  You will have free reign to develop your own approaches with the mission guidance being your only bounds. It's a bonus if you: Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects. Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites. Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities. 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, NY (HQ) 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 The Credit Engineering team builds the systems that enable Ramp to manage credit lifecycles for businesses end-to-end, from initial underwriting through ongoing portfolio strategy optimization. As an engineer on Credit, you’ll own systems that influence $100+ billion in annual payment volume through millions of decisions across our product stack in support of the most ambitious FinTech portfolio in the United States. We are looking for a backend engineer to own the technical roadmap for underwriting, limit management, portfolio optimization, and agentic workflows. You will build robust systems, automate complex operational tasks, and maintain the high-frequency controls that power all of Ramp’s products. If you are obsessed with correctness, excited by ambiguity, and passionate about problems at the intersection of distributed systems and financial strategy, this role is for you. WHAT YOU'LL DO - Architect scalable, stateful systems for automated limit management to optimize Ramp’s charge card portfolio. - Envision and build the next generation of agents and tools that automate manual credit decisions and increase operational efficiency. - Develop high-volume, low-latency risk controls to support Ramp’s expansion into new products, customer segments, and geographies. - Design and build real-time decisioning systems spanning the entirety of a business's credit lifecycle on Ramp. - Partner closely with analysts, data scientists, and product to translate risk strategies into reliable software. WHAT YOU NEED - 2+ years of backend engineering experience. - Proficiency in Python or a comparable backend language. - Experience working with distributed systems and async frameworks. - Proficiency with converting abstract business problems into robust data models and technical specs. - Experience building or operating systems with strict auditability, observability, and correctness guarantees. - High ownership mentality – you care deeply about the systems you build. - Ability to work closely with non-engineering partners (Risk Strategy, Ops, Sales) to create impact. NICE TO HAVES - Experience leveraging AI/LLMs for development or for internal workflows. - Interest in financial optimization problems. - Willingness to learn and move fast while holding the bar on correctness. - Defensive programming aptitude. - Experience using feature stores, rule engines, and ML platforms in production. 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: San Francisco, CA, USA About the role We are hiring for a Director, Strategy and Growth Initiatives to help define and drive the long-term strategy and growth of the company. As our Director, you’ll identify where the business should go next, shape the long-term vision with senior leadership, and turn that into actionable initiatives that drive durable growth. You’ll work across Product, Marketing, Analytics, and other functions to solve the company’s most important and ambiguous problems, and ensure those strategies translate into real outcomes. In this role, you can expect to Identify and lead high-impact strategic initiatives that drive long-term growth and business durability Analyze market, competitor, and consumer trends to inform company strategy and priorities Partner closely with senior leaders to shape long-term vision and drive alignment across the organization Translate strategy into actionable plans and ensure initiatives are executed across cross-functional teams Develop deep analytical insights and research to support decision-making and prioritization Influence decisions and drive accountability across Product, Marketing, Analytics, and other functions Lead complex problem-solving efforts and guide project teams to deliver measurable business outcomes To thrive in this role, you have 10+ years of experience in strategy/management consulting, corporate strategy, or operating roles within financial services or fintech An MBA or equivalent experience Proven ability to influence senior stakeholders and drive alignment across complex organizationsx Strong analytical and problem-solving skills, including financial modeling and data-driven decision making Experience leading and managing project teams and driving initiatives end-to-end Excellent communication skills with the ability to translate insights into clear recommendations Deep experience in fintech/financial services and/or hands-on experience with data analysis, market research, or product analytics (preferred) #LI-BE1 #LI-Onsite Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $206,000 — $285,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Latin America Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Israel , Czech Republic , Serbia , and more. About the Role Technical consultants play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us. As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions. We are looking for a person with more than 3 years of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team. Responsibilities 1. Client Ownership & Communication Act as the primary technical point of contact for customers across technical and executive stakeholders. Lead discovery conversations to deeply understand client goals, problems and quality criteria. Translate client needs into clear, actionable solution designs and delivery plans. Advise customers on best practices in data collection, data quality, evaluation, and model training workflows. Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently. Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions. 2. Solution Design & Delivery Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls. Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation. Run experiments and pilots to validate quality, throughput, and cost assumptions. Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed. Ensure solutions meet agreed quality, performance, and scalability requirements. 3. End-to-End Ownership & Project Management Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency. Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations. Prioritize work based on customer impact and business value. Analyze data to identify failure modes, inefficiencies, and opportunities for improvement. Continuously optimize solutions through iteration, automation, and adoption of new technologies. Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams. Drive solutions toward stable operation with minimal ongoing maintenance. Requirements Core Experience Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager. Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management. Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration). Technical Skills Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask). Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus. Experience designing multi-stage pipelines and complex systems. Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc.. Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations. Ability to reason about trade-offs between quality, speed, cost, and scalability. Communication & Ownership Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences. Confidence working with data engineers, ML engineers, and researchers from leading tech companies. Strong ownership mindset: comfortable being accountable for outcomes, not just tasks. Ability to manage multiple projects in fast-paced, ambiguous environments. Nice to have Experience with crowdsourcing, expert workflows, or large-scale data labeling. Experience working on ML training, evaluation, or agentic systems. Familiarity with quality frameworks, audits, or data validation pipelines. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance!

Location: São Paulo Office Workplace: Hybrid About The Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Lead Solutions Engineer in our São Paulo office. What You'll Do as Forward Deployed Engineer - Lead complex AI-driven Taktile deployments in production. You own technical delivery across multiple deployments, from scoping high-impact Agentic AI use cases to stable production. - Apply your technical expertise, problem-solving skills and creativity to help organizations address real-world challenges. Your day could include designing solution architectures, developing decision logic and deploying production-grade Generative AI agents, or aligning with key customer stakeholders - all while ensuring an outstanding experience and rapid time to value for Taktile’s customers. - You effectively scope work, sequence delivery, and proactively remove blockers, while making thoughtful trade-offs between scope, speed, and quality to ensure successful and timely project delivery. - Partner with Taktile’s product management team to turn your understanding of customer needs into actionable product insights, directly influencing the evolution of Taktile’s product roadmap. - Develop reusable resources, best practices, and tools to share your expertise and help scale the forward deployed engineering function across the organization. About You - You bring 2-6 years of engineering or technical deployment experience that includes customer-facing work. - You are fluent in both English and Portuguese. Exceptional English communication skills are essential for this role, as you will regularly lead complex technical and business conversations with global customers and internal teams. - You have strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. - You write and review production-grade Python and SQL, and have strong command of REST API design and integrations. - You excel at breaking down complex problems and making quick, well-informed decisions even under pressure. - You build strong relationships with both technical and business stakeholders at all levels, driven by curiosity and a customer-centric mindset that helps you understand their needs and solve their challenges. - You're collaborative, curious, and low-ego- you work well across product, engineering, and GTM teams, and you bring a genuine desire to understand customers' businesses. - You are based in the São Paulo area and comfortable traveling for in-person customer or team meetings. Ideal Qualifications (but not required) - You have 3-10 years of experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. - You have experience in building AI applications within financial services - You have experience in applying and optimizing statistical and machine learning models to solve business problems. - You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). - You have experience of working at or with tier-1 banks in Brazil for risk decision solutions/vendors deployment projects. What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The DHI Content team builds and maintains Docker Hardened Images: a catalogue of security-hardened system packages, container images and Helm charts designed to be minimal, up to date and safe to use in security-conscious and regulated environments. This is a supply-chain and open-source maintainer role rather than a conventional backend engineering role. You will work across upstream OSS projects, package and image definitions, Helm charts, Kubernetes, integration tests, vulnerability remediation and the controls that prove content is ready to publish. The work is broad by design: customers should be able to select hardened packages and images and, where relevant, deploy them through hardened charts without the pieces drifting apart. We are moving DHI content production towards a machine-first factory. Routine work should begin with a machine-produced change and pass through automated build, test, policy and review controls. Engineers add the most value by handling difficult ecosystems, making security judgements, improving standards and turning repeated human corrections into better tooling. You will use AI-assisted engineering extensively, but remain accountable for the evidence and quality behind every result. As a Senior Supply Chain Security Engineer, you will own substantial content and improvement work from upstream discovery through release and ongoing maintenance. You will be expected to close the loop on customer and security outcomes, not only submit individual definition changes. SUCCESS IN THIS ROLE LOOKS LIKE You will succeed by becoming a trusted end-to-end owner for hardened content. Within your first year, you should have delivered complex new or updated DHI content across packages, images and Helm charts, improved the factory or its quality gates, reduced recurring manual work and raised the capability of the engineers around you. _______________________________________________________________________ RESPONSIBILITIES - Author and maintain definitions for hardened system packages and container images, including build steps, upstream tracking, multi-architecture support and reproducibility controls. - Adapt and maintain upstream Helm charts so they work correctly with DHI images under non-root, restricted and production-shaped Kubernetes security constraints. - Track upstream releases, semver patterns, monorepos, dependency chains and breaking changes, then make pragmatic decisions about when to update, patch, pin or deviate. - Triage and remediate vulnerabilities across OS packages, application dependencies, images and charts, including VEX and no-upstream-fix cases that require explicit security judgement. - Write and improve Go-based integration tests, validators and policy checks that prove packages, images and charts behave correctly in real environments. - Review human-authored and machine-authored pull requests against DHI standards, distinguish blocking issues from advice and give contributors a clear path forward. - Improve the DHI Factory by converting repeated work, review corrections and escaped defects into automation, tests, validators and reusable authoring patterns. - Help classify work into deterministic, specialist and judgement paths so people spend time where their expertise changes the outcome. - Partner with Product, Security, Support and customer-facing teams to turn demand and incidents into prioritised content and durable improvements. - Engage constructively with upstream maintainers when hardened deployment requirements expose issues or useful improvements. - Participate in the team's paid on-call rotation and drive learning from customer escalations, failed builds and content defects. - Communicate decisions, risks and progress clearly in a remote, async-first environment. _______________________________________________________________________ QUALIFICATIONS REQUIRED - Strong experience with containers, Linux and Kubernetes in production or production-shaped environments. - Practical experience reading, adapting or maintaining Helm charts and diagnosing how chart templates, values and workload security settings affect deployment behaviour. - Experience maintaining software you did not originate, such as Linux packages, container images, open-source integrations, charts or a comparable downstream distribution. - Strong YAML and configuration-review skills, including care for conventions, consistency and downstream impact across a large catalogue. - Working knowledge of container and Kubernetes security, including non-root execution, UID and GID, capabilities, filesystem restrictions, image layers and multi-architecture builds. - Practical programming ability in Go or a comparable language, sufficient to write and review integration tests, validators and content automation. - Experience tracking upstream releases and reasoning about semver, breaking changes, dependency graphs and reproducible builds. - A maintainer mindset: you catch drift, improve patterns for the next contributor and consider the effect of a change across many downstream consumers. - Familiarity with GitHub-heavy open-source workflows, including pull requests, review, release tracking and upstream contribution. - Comfort using AI-assisted engineering critically while retaining ownership of security assertions, test evidence and release quality. - A strong operational mindset and clear written and spoken communication suited to a remote, async-first company. HELPFUL, BUT NOT REQUIRED - Experience as a maintainer for Alpine, Debian, Fedora, Wolfi, Homebrew or another package ecosystem. - Helm chart authorship or meaningful contribution to an upstream chart. - Experience with SBOMs, VEX, SLSA, Sigstore, cosign, provenance or artefact signing. - Experience with apk, deb, rpm, Go modules, Maven or Gradle, npm, pip, Cargo or other dependency ecosystems. - Experience building automation for package, image or chart creation, validation and release. - Experience with FIPS, FedRAMP, PCI or other regulated and security-conscious environments. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context on the DHI catalogue, its package, image and chart definitions, the DHI Factory and the team's definition of done. - Pair across both image and Helm chart work and ship a useful production change. - Learn the build, test, signing, publishing and vulnerability-remediation workflows. - Take part in reviews and an incident, escalation or failed-build learning session. FIRST 90 DAYS - Own a complex image and chart addition or update from upstream analysis through release. - Resolve a meaningful CVE, dependency or compatibility problem with clear evidence and customer impact in mind. - Improve at least one factory control, integration test, validator or reusable content pattern. - Review across artefact types and help another engineer take on a broader piece of work. ONE YEAR OUTLOOK (FIRST YEAR) - Be a trusted senior owner across hardened packages, images and Helm charts. - Deliver material catalogue growth or quality improvements without increasing human effort linearly with demand. - Reduce recurring manual work by moving a class of changes into a proven automated path. - Improve DHI's security posture, content availability and release reliability for customers. - Raise review quality and grow the team's ability to work across artefact and dependency ecosystems. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$210,627 – CA$341,690 base United States: $154,600 – $250,800 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is building next-generation data center infrastructure across the United States to support high-density, GPU-driven workloads. As a Mechanical Design Engineer, you will support the design, review, and technical development of mechanical systems for data centers across the US portfolio. This role is ideal for a mechanical engineer who can take broad ownership across data center mechanical design, evaluate technical options, and work closely with electrical, construction, commissioning, and operations teams. The right candidate can operate independently, review third-party designs, and help Nebius build scalable, maintainable, high-density data center environments. Location: Remote, US Responsibilities Review mechanical design packages for data center projects, including internal concepts and third-party partner designs. Support mechanical design development for high-density data center environments. Evaluate mechanical design options for air-cooled and liquid-cooled data center architectures. Coordinate closely with electrical design, construction, commissioning, and operations stakeholders. Review designs for maintainability, operational resilience, capacity, and alignment with Nebius standards. Help assess technical tradeoffs, alternative solutions, product options, and design risks. Support design reviews tied to power density, airflow, cooling capacity, and operational readiness. Requirements Data center mechanical design experience. Strong understanding of mechanical systems in mission-critical or data center environments. Experience with air-cooled data center design. Ability to evaluate mechanical capacity, flows, and design assumptions. Ability to review design documents, technical proposals, and partner deliverables. Ability to read and interpret contracts, design requirements, and technical standards. Strong communication skills with internal stakeholders, external design partners, and construction teams. Broad engineering ownership mindset; able to manage the full mechanical design scope rather than only a narrow specialty. Nice to Have Experience with liquid-cooled data center technologies. Experience with hyperscale, neocloud, GPU, or AI infrastructure data centers. Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms. Familiarity with high-density rack environments, including 50kW to 200kW per rack. Experience supporting design reviews through commissioning or operational turnover. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $185,000 — $225,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Yerevan Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🤘 HOW WE DO IT ? People joining Alan are always surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as: 🎯 What drives us - We're obsessed with helping members live healthier - Mission is the Boss: long-term thinking, mission above all else - Member & customer-led: obsessed with solving problems and delighting users 🏆 How we build excellence - We hire the best and empower them to succeed - Champions of excellence: extremely high standards and talent density - Distributed ownership: everyone owns their decisions and results - Radically transparent: all information accessible, written-first, async decisions 🤝 How we grow together - We improve through honest feedback and bold thinking - Optimistic alchemy: optimists who collaborate with genuine care - Empathetic challengers: direct, caring feedback to help each other grow - Bold contrarians: think differently, try new approaches ⚡ How we move fast — We fight complexity and focus on what matters - Disciplined execution: decisive action with compounding focus - Fight for simplicity: high-impact processes, smart frugality ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! - Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. - We move fast, with a lot of ownership, and are proud to tackle big problems! - Our process is very simple: those who make product decisions are the same ones who build them. - Our stack is Python/Flask, React, React Native, PostgreSQL. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. 🌍 INTERNATIONAL EXPANSION & NEW MARKETS At Alan, we're on a mission to bring our innovative healthcare model to new countries and scale across Europe and beyond. We're building the foundations for rapid international expansion, creating systems and platforms that can adapt to diverse healthcare markets while maintaining the exceptional experience our members love. Examples of what you'd work on: - Build global-first platforms designed for multi-country deployment from day one, creating reusable components and architecture that can be quickly adapted to new markets with different healthcare systems, regulations, and languages - Launch new countries by designing and shipping core systems for insurance operations, claims processing, member experiences, and provider networks that work across diverse regulatory environments - Scale payment and billing infrastructure to handle multiple currencies, tax systems, and payment methods while maintaining compliance with local financial regulations - Design country-agnostic data models that accommodate vast differences in healthcare systems, from network-based models to reimbursement systems, while keeping data consistent and accessible globally - Create configuration and localization systems that allow new countries to be onboarded in weeks, not months, flexible enough to handle local nuances while maintaining global product standards - Ship member experiences that feel local while leveraging shared global components, building mobile and web interfaces that adapt seamlessly to different languages, cultures, and healthcare expectations - Own critical technical decisions as a domain expert, defining how Alan's systems evolve to support 10+ countries while maintaining engineering velocity and system reliability You'll be joining at a pivotal moment as we accelerate our expansion strategy, with ambitious plans to enter multiple new markets. The systems you build will directly enable Alan's growth from 4 countries to the leading pan-European health partner. This is a rare opportunity to shape how a fast-growing healthtech company scales internationally. Your work will impact hundreds of thousands of members across multiple countries. ⭐ IS IT YOU WE’RE LOOKING FOR? We are looking for engineers with 3+ years of experience to help us scale our Engineering community from different perspectives (product, tech, and internal organization-wise): - You’ll be able to tackle high-impact & high-risk projects involving many engineers. - You’ll design efficient systems and engineering practices to align with and facilitate interactions between multiple teams/products. - You’ll have the opportunity to mentor other engineers & lead crews (more details in this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan). - You’ll be able to contribute to hiring your future coworkers and shape candidates’ hiring experience (improving our technical assessment process etc...) You would be a good fit at Alan if most of this sounds like you: - Well-versed in Object Oriented Programming such as Python, Java, C#, and enthusiastic about web technologies such as modern Javascript. - Willing to work in Python/JavaScript (but you don’t need to have experience with those 2 languages!). - Passionate about building products. - Self-starting and entrepreneurial. - Humble and still willing to grow (no matter your seniority!). - Collaborative, enthusiastic about teamwork, learning, and teaching. - Fluent in English (no need to speak French!). For this opportunity, we are aiming to hire within the C-F level range. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents. IMPORTANT NOTE: WE HIRE PEOPLE NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. 🔄 A quick note about the process Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link. #LI-DNP