Вакансии

Location: Brazil; United Kingdom; Pakistan; Philippines; South Africa About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing AI startup building intelligent AI employees that can call, text, email, and update CRMs automatically. Their platform helps businesses across North America automate sales follow-up, lead engagement, and customer communication at scale while maintaining a natural, human-like experience. This is a lean, high-performance startup environment where team members work closely with leadership, take ownership, and directly influence product growth and client success. Job Summary We’re looking for an Automation Engineer who thrives at the intersection of AI, workflow automation, prompt engineering, and client problem-solving. In this role, you won’t just build automations, you’ll design and optimize AI-driven systems that directly impact revenue for real businesses. You’ll work closely with the founder to create AI agents capable of handling calls, texts, emails, and CRM updates while ensuring conversations feel natural and high-converting. This is an ideal opportunity for someone who enjoys building systems, solving technical problems, and working directly with clients in a fast-moving startup environment. Key Responsibilities Build and deploy AI-powered agents that call, text, and email leads on behalf of clients Create and optimize workflow automations using platforms such as n8n, Make, or similar tools Integrate AI systems with CRMs like HubSpot, Zoho, Salesforce, and GoHighLevel using APIs and webhooks Design prompts and conversational flows that make AI interactions feel human and sales-focused Troubleshoot automation issues, debug workflows, and improve system performance Handle client onboarding and support requests directly Collaborate closely with the founder on new automation strategies and feature improvements Analyze workflow performance and continuously optimize AI behavior and conversion rates Maintain documentation for automations, integrations, and client implementations Requirements Hands-on experience with workflow automation tools such as n8n, Make, Zapier, or similar platforms Strong understanding of APIs, webhooks, JSON, and third-party integrations Experience reading technical API documentation and troubleshooting integration issues Familiarity with CRM systems including HubSpot, Salesforce, Zoho, or GoHighLevel Experience with prompt engineering for conversational AI or sales-focused AI workflows Understanding of outbound sales workflows, SMS campaigns, follow-up automation, and lead nurturing Excellent problem-solving and debugging skills Comfortable working directly with clients in a fast-paced startup environment Strong communication skills in English Ability to manage multiple projects and adapt quickly to changing priorities Experience building AI voice agents or AI employees Experience with OpenAI APIs, conversational AI platforms, or LLM workflows Knowledge of sales psychology and high-converting sales scripts Previous startup experience Basic scripting or coding experience (JavaScript, Python, etc.) Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: San Francisco; Remote; Toronto; New York; Montreal Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: - Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. - Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES - Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. - Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code. - Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution. - Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations. - Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management. - Define and instrument SLOs and SLIs across customer workloads and internal services. - Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define. REQUIREMENTS - Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus). - Experience in building and maintaining scalable infrastructure. - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus. - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD). - Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis. - Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage. - Familiarity with incident management platforms (incident.io http://incident.io or similar) is a plus. - No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: The Americas; Costa Rica; Tampa; Charlotte; Nashville; Brazil; Atlanta; Colombia; Philadelphia; Pittsburgh; Canada; Mexico Workplace: Remote ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. THE ROLE  Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within -3 / - 8 UTC (Americas) as you will be supporting the Americas region. We are seeking a passionate and results-driven Customer Success Manager to join our dynamic team. As a Customer Success Manager (CSM), you will play a pivotal role in managing relationships with our diverse customer base, ensuring their success and satisfaction with our platform and services. This position offers an exciting opportunity to work in a fast-paced environment, collaborate cross-functionally, and make a significant impact on the customer experience. Our Customer Success POD is a dynamic and tightly-knit group committed to crafting a seamless customer journey. As a member of this team, you will be part of a collaborative environment where ideas flourish, and each team member's input is cherished. We foster a culture of continuous learning and growth, encouraging every team member to contribute their unique skills and perspectives to our shared goals. By joining our Customer Success POD, you'll become part of a supportive community that thrives on innovation, excellence, and a steadfast commitment to customer satisfaction. KEY RESPONSIBILITIES - Proactively manage and nurture relationships with a portfolio of customers, ensuring high engagement and satisfaction levels. - Responsible for addressing and managing customers' health cases assigned to them. - Respond to customer inquiries and requests within the Success scope, providing timely and effective solutions. - Conduct enablement sessions, product demos, and escalation calls with customers to drive adoption and address challenges. - Manage customer escalations and collaborate cross-functionally to resolve issues and ensure customer satisfaction. - Utilize data-driven insights to understand customer needs and preferences, advocating for their interests within the organization. - Identify opportunities for improvement and scalability in customer success processes, contributing ideas and solutions to enhance customer health. - Lead and participate in cross-functional projects aimed at improving customer engagement and satisfaction. - Act as the primary point of contact for internal teams, addressing and prioritizing requests from Sales, Support, and other departments. - Collaborate with the  Sales team to ensure customer retention, particularly in churn-risk situations. - Collaborate with Treasury on payment collection for late-paying customers - Work closely with Product, Sales, Support, and Marketing teams to ensure customers receive comprehensive support and maximize the value of our platform. - Stay abreast of product updates and industry trends, continuously enhancing your skills and knowledge to better serve our customers. REQUIREMENTS - Minimum of 2 years of experience in a Customer Success, Account Manager or quota-carrying role, preferably in a SaaS or technology company. - Proven track record of managing multiple customer relationships and driving customer success initiatives. - Ability to effectively manage customer expectations and any conflicts should they arise. - Exceptional communication skills, both verbal and written. - Strong interpersonal skills with the ability to build rapport and trust with customers. - Analytical mindset with the ability to leverage data to drive insights and decision-making. - Cross-functional collaboration skills with experience working across departments to achieve common goals. - Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities. - Strong organizational skills and attention to detail. - Passion for customer advocacy and commitment to delivering exceptional service. - Willingness to continuously learn and upskill to keep pace with product advancements and industry trends. - Proficiency in Zendesk, Asana, Notion, and Slack is a bonus. ATTRIBUTES THAT ARE NOT REQUIRED (BUT ARE A BONUS) - Experience in the HR industry and employment practices spanning multiple countries YOU'LL ALSO NEED - A reliable home internet connection (or be able to get one) - Proficiency in both written and spoken English language is required HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

Location: London 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. DRW is seeking a highly motivated Quantitative Trader to join our Equity Options team, focusing on US and European markets with a specialization in dispersion strategies. This role combines deep quantitative analysis, real-time decision-making, and hands-on trading to identify and capture opportunities between index and single-stock options. You will work closely with technologists, researchers, and other traders to develop, implement, and optimize systematic and discretionary trading strategies. Key Responsibilities Develop, implement, and manage quantitative trading strategies in US and EU equity options markets Design and execute dispersion trades, capturing relative value between index volatility and single-name volatility Conduct in-depth analysis of volatility surfaces, correlation structures, and cross-asset relationships Monitor and manage risk exposures, including vega, gamma, correlation, and tail risks Collaborate with developers to build and enhance trading infrastructure, models, and execution systems Work with LLM’s and AI to work on tools that help improve opportunity spotting Continuously refine models using large datasets, improving forecasting of implied vs realized volatility and correlations Respond to market events in real time, adjusting positions and strategies accordingly Contribute to research on new products, markets, and trading opportunities Required Skills & Experience Strong academic background in Mathematics, Physics, Engineering, Computer Science, or a related quantitative field Proven experience trading equity options, across US and/or European markets Deep understanding of options theory, volatility modeling, and derivatives pricing Experience with or strong knowledge of dispersion and correlation trading strategies Proficiency in programming (Python, C++, or similar) and working with large datasets Strong statistical and analytical skills, with the ability to translate insights into trading decisions Ability to operate effectively in a fast-paced, high-stakes environment Familiarity with market microstructure and execution algorithms Knowledge of index composition, corporate actions, and dividends in US/EU equities 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-JW1

Location: Paris, Remote Workplace: remote 360Learning is seeking a highly skilled and motivated Technical Consultant to join our Professional Services team. As a Technical Consultant, you will be responsible for scoping custom technical and consulting projects, building custom solutions, coordinating with the Technical Services team and delivering on those projects for our clients. You will work closely with our sales and development teams to understand client needs and translate them into technical solutions. The successful candidate will have a strong technical background, excellent problem-solving skills, and a customer-focused mindset. As a Technical Consultant, you are part of our implementation team, who plays a key role in seamlessly onboarding new customers: you are working cross department (Sales, Product and Customer Success) to understand and document client use cases and requirements and then translate them into set up and configuration of the 360Learning platform as well as specifications for the development of Technical Solutions.  You will support and manage all phases of the implementation lifecycle, from sales turnover and kick off to handover to support, mainly on strategic accounts as a technical expert. You will define 360Learning platform architecture for our clients, facilitate integrations (flat files, API’s), 3rd party apps, guide and provide assistance in order to ensure the successful deployment of their platform. As we grow, we need to continue to automatize and find repeatable solutions. Part of your job will be to design tools to either support the rest of the team and specific customer’s requests and avoid time-consuming work. Within 1 month, you will: Become a Trello expert through our onboarding process Understand our product offering through training Master our platform and be able to support clients on basics requests through ticketing Master our integration possibilities (Workato, data lake, flat files, APIs) Within 3 months, you will: Work with clients to understand their technical requirements and scope projects accordingly Collaborate with our sales and development teams to design and implement solutions that meet client requirements Ensure successful delivery of projects on time and within budget Provide technical expertise and support to clients throughout the project lifecycle Continuously learn about new technologies and stay up-to-date with industry trends Develop and maintain technical documentation and project plans Participate in client-facing meetings and presentations Within 6 months, you will: Develop repeatable and scalable processes to improve project quality and delivery Be able to support the team on difficult integrations & troubleshooting issues Contribute to our knowledge base to share best practices and lessons learned Work with our partner ecosystem to strengthen the services proposed to our clients Deliver platform audits to clients Within 12 months, you will: Contribute to our knowledge base to share best practices and lessons learned Work with our partner ecosystem to strengthen the services proposed to our clients Create and propose new services to our Professional Service catalog Present our value proposition to prospects or other SaaS companies and 3rd party developers to encourage them to integrate with our platform The Skills Set: 8+ years of experience supporting technical partnerships and integrations, developer relations, or similar technical role with external stakeholders; customer facing background preferred (e.g. Sales Engineer, Technical Presales, Solution Architect, Technical consultant, Technical Project Manager, Technical Account Manager, Business Analyst) Excellent understanding of APIs and REST integrations Strong technical skills, including experience with programming languages such as Java, Python, or Ruby Knowledge of SaaS platforms, cloud-based solutions, and web technologies Experience scoping projects, designing technical solutions, and delivering projects Excellent problem-solving skills and ability to troubleshoot complex technical issues Ability to adapt your communication to different audiences (highly technical vs. less/non- technical stakeholders) Organized, structured, rational and analytical way of working Ability to work independently and as part of a team in a fast-paced, deadline-driven environment Experience with project management methodologies such as Agile or Scrum is a plus Enthusiasm for our culture explained here https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠. Working remotely from outside France is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity_360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Technical Services Case study with our Head of Technical Services and our Head of professional Services EMEA Clarification Meeting with a Technical Consultant Culture Fit with our VP Global Professional Services Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Denmark; Germany; Sweden; Finland; Norway; Netherlands Workplace: remote Help shape how AI understands and speaks Danish. We're launching a short-term project that needs Danish speakers to review, rewrite, and create Danish text that trains AI language models. You'll work from home on a flexible schedule. What you'll do Read AI-generated Danish responses and rate them for accuracy, grammar, and cultural fit Rewrite weak responses into clear, natural Danish Compare two AI answers side-by-side, pick the better one, and explain why Write your own Danish prompts and example responses to expand our training data Flag answers that miss Danish cultural context or local references Who we're looking for Fluent in Danish, with strong written grammar and a good ear for tone Understanding of English – If you can read this posting without translation, your English is strong enough! Project guidelines, task interfaces, and team communication are all in English. A background in teaching, writing, editing, or translation is a plus, not a requirement Ready for structured, repetitive review work and meeting daily quality targets Project details Start date: Immediate Duration: 4 weeks Hours: ~20 hours per week, flexible schedule Job type: Freelance contract Location: Remote Rate: $37.00/Hour USD Note: Please do not use VPNs or IP-masking tools during the recruitment process — our security system requires accurate regional verification.      Job Reference: #L1-CC1 Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Global ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY This role is ideal for someone early in their career (1–5 years of experience, or an exceptional dropout) who wants real operational ownership, not a rotational apprenticeship. You’ll work closely with the co-founders and Head of Operations in a high-trust role at the center of execution at Human Archive. As a Founding Operations Manager, you will own the end-to-end lifecycle of field operations globally, including sourcing and structuring partnerships to unlock access to real-world labor environments, deploying and supporting field teams, and ensuring clean data offload, audit, and closure. Your mandate is to turn site access into reliable, repeatable, high-velocity data collection, even in messy, real-world conditions. You will build and run core operating systems: coordinating site readiness, managing kits and logistics, leading large field teams during on-site execution, and enforcing post-site workflows that guarantee data quality and operational closure. This is a hands-on execution role: you’ll plan, but you’ll also be on the ground supporting field teams, unblocking hardware and deployment issues, tightening processes, and making sure things actually get done. WHAT YOU’LL DO - Source and manage deployment partnerships globally - Own field operations from site readiness through post-site closure - Lead field teams and ensure reliable execution during deployments - Run high-velocity data collection campaigns under real-world constraints - Work directly with sensing hardware, deployment kits, upload systems, and offloading workflows - Troubleshoot hardware, deployment, and operational issues in the field - Improve operational systems across deployments, audits, inventory, and payouts - Work closely with hardware, software, and operations teams during deployments WHAT WE’RE LOOKING FOR - Strong execution ability and willingness to take ownership in fast-moving environments - Ability to manage deployments and field teams under real-world constraints - Strong technical intuition and comfort working directly with hardware and operational tooling - Strong communication skills and ability to make decisions quickly with limited information - Highly resilient, resourceful, and comfortable solving difficult operational problems - Prior experience in operations, logistics, consulting, marketplaces, field work, or startups is a plus

Location: San Francisco ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY As a Research Engineer, you’ll work on multimodal sensing systems and sensor fusion research for embodied AI and robotics. This role sits at the intersection of robotics, perception, hardware systems, and machine learning, where your work directly shapes how multimodal data is collected, synchronized, fused, and used for downstream VLA training. You’ll research emerging sensing technologies across RGB-D video, motion capture, IMUs, tactile sensing, audio, and wearable systems, and study how different sensor combinations impact robot learning, policy performance, and generalization. You’ll work closely with hardware, ML, and research teams to design experiments, evaluate new sensing stacks, and help define the next generation of multimodal robotics datasets. Your work will help shape how frontier labs and leading robotics companies train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence. WHAT YOU’LL DO - Evaluate how different sensor modalities impact VLA training and downstream robotics performance - Work across RGB-D video, IMUs, motion capture, tactile sensing, audio, and wearable systems data - Design experiments around synchronization, calibration, fusion, and multimodal alignment - Prototype quickly and iterate from real-world robotics deployments and research feedback - Collaborate closely with hardware, ML, and research teams on next-generation sensing systems WHAT WE’RE LOOKING FOR - Master’s or PhD in robotics, computer vision, sensing systems, or related fields - Published research in sensor fusion, perception systems, multimodal datasets, or embodied AI - Strong technical intuition around hardware systems and robot learning - Experience with RGB-D video, IMUs, motion capture, tactile sensing, or robotics systems - Experience with reinforcement learning, real-world robot deployments, and how data impacts downstream policy performance - Highly curious, execution-oriented, and comfortable operating from first principles

Location: San Francisco Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY As a Machine Learning Engineer, you’ll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the intersection of applied machine learning, data infrastructure, and robotics, where your work directly shapes how data is collected, validated, annotated, and evaluated. You’ll help close the loop between research and data collection by fine-tuning VLAs on downstream policy performance and building post-training and reinforcement learning systems around real-world robotics tasks. You’ll be expected to make architectural decisions, own projects end-to-end, and operate in highly ambiguous research environments given the novelty and scale of our multimodal datasets. Your work will help shape how frontier labs and leading robotics companies train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence. WHAT YOU’LL DO - Build systems for multimodal perception, annotation, dataset QA, and robotics evaluation - Publish research on multimodal data by fine-tuning and evaluating VLA models on downstream robotics tasks and policy performance - Build post-training and reinforcement learning systems around robotics failure modes and corrective demonstrations - Work across video understanding, tracking, pose estimation, temporal modeling, and multimodal alignment - Develop tooling for benchmarking, observability, and temporal efficiency - Prototype quickly, ship rapidly, and iterate from real-world robotics deployments and research feedback WHAT WE’RE LOOKING FOR - Passionate, mission-driven individuals who have demonstrated exceptional ownership in previous work - Engineers who want their work to directly impact the next frontier of physical AGI - Strong ML engineering fundamentals across robotics, computer vision, and perception systems - Experience with video understanding, tracking, pose estimation, robotics, or real-world sensor systems - Strong technical intuition and ability to move quickly in ambiguous research environments - Published research or production experience in robotics, embodied AI, reinforcement learning, motion capture, or vision systems is a strong plus

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 Water Researcher to help direct tens of millions of dollars annually to the most cost-effective water interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. Our water grantmaking has historically focused on improving drinking water quality through chlorination — primarily chlorine dispensers and in-line chlorination — in low- and middle-income countries with a high burden of waterborne disease. In 2025, we ran a public Request for Information (RFI) that resulted in 18 pilot grants to 12 implementing partners across six African countries, totaling roughly $20 million. In 2026, we are beginning to pivot from a narrow focus on chlorination toward a broader exploration of the water sector. This includes investigating alternative water quality interventions (e.g., filtration, in-line ultraviolet disinfection, chemical contamination remediation), different clean water delivery models (e.g. diarrheal outbreak prevention and response, safe water enterprises), exploring water access and infrastructure layering with multilaterals such as the World Bank, market shaping for chlorine supply chains and measurement technology, and R&D for hardware and better service delivery models. As a Senior Water Researcher, you'll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell's grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment. We're open to a wide variety of professional development pathways depending on your preferences and our needs. The role You will be joining a small grantmaking team to contribute to our ambitious research agenda on water. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team. You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell water team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. What you might work on in your first year: How should we calibrate our cost-effectiveness estimates to real-world program performance? How does chlorination compare with alternative water quality methods — such as filtration, in-line UV, and chemical contamination remediation — across different settings? Where, if anywhere, are these alternatives more cost-effective? Can GiveWell unlock large amounts of cost-effective room for more funding by partnering with multilaterals (e.g. the World Bank) to layer water treatment onto large-scale piped water infrastructure projects? What are the practical and political constraints? To what extent should our portfolio shift between water quality (our current focus) and water access? Are there access-related grantmaking opportunities — for example, supporting direct delivery of clean water, water kiosks, or boreholes paired with treatment — that meet our cost-effectiveness bar? How do we improve our estimate of the all-cause mortality effect of chlorination on children under-5? How should we use new funding mechanisms — such as regranting, prizes, and a possible Water Incubator with implementing partners — to identify and scale promising interventions? The Senior Water Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work. Team structure Our research department is currently organized into eight teams: Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) focus on specific areas of grantmaking. The New Areas team focuses on interventions in domains that are new to GiveWell. The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. Team values We think our research team has unique qualities: We care deeply and centrally about finding and sharing truth. Truth-seeking is one of our core values . We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong. We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs. We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions. Lean research team = huge personal impact. In 2026, our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future. We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly. About you We expect the Senior Water Researcher to have A quantitatively oriented advanced degree (e.g., in epidemiology, environmental engineering, environmental health, public health, economics, or related fields). Substantial professional experience in the water sector or an adjacent field (broadly defined). This could include experience in water quality, WASH, water infrastructure, environmental health modeling, or in program implementation, evaluation, or funding. We're especially interested in candidates with hands-on familiarity with water systems, epidemiology, or both. We don't expect any single candidate to have deep expertise across all of the areas we're exploring (chlorination, filtration, in-line UV, water access, market shaping, R&D), and we're happy to consider strong researchers whose expertise sits in any subset of these. We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality: GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact. You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny. You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s. You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels. You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks. You love a gnarly problem . You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned. You constantly assess whether you and the team are working on the most important things. If you’re interested in working on GiveWell’s research team but don’t have water expertise, consider applying to our generalist Senior Researcher role, or our Researcher role if you have limited post-graduation experience. The details Compensation: We set salaries using a location-based tier system. Our pay for this role: NYC or the San Francisco Bay Area: $308,000. All other U.S. locations: $280,000. International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage. Benefits: Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year, plus a one week organization-wide summer break 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for. Visa sponsorship: The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas. Why we work this way: Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Travel: Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend quarterly whole-org and department retreats to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting family or other obligations. Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. Miscellaneous details: Please apply to only one Senior Researcher posting. If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage! 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 Vaccines 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 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: Global Workplace: Remote Job description Our core mission at Railway is to make software engineers higher leverage. We believe that people should be given powerful tools so that they can spend less time setting up to do, and more time doing. Many infrastructure platforms simply focus on how you deploy your singular application, and now how these applications function in concert. Questions like “How do you build systems for zero downtime deployment”, “How do you do service-to-service communications”, etc are usually left up to the engineers to define. At Railway, our goal is to be an all encompassing solution to all these problems. As such, we take special care as we define our networking infrastructure. “But the world would be a better place if more engineers, like me, hated technology. The stuff I design, if I'm successful, nobody will ever notice. Things will just work, and will be self-managing” - Radia Perlman About the role For this role, you will: - Build and maintain our host provisioning stack: PXE boot, Ansible, and burn-in agents that bring new bare metal online quickly and confidently - Continue to evolve our homegrown orchestration engine to manage clusters, containers, and VMs through a single lens - Optimize the efficiency of our bin packing algorithm to maximize utilization/performance and minimize costs - Own the internal tooling that Railway engineers use to interact with our fleet every day - Build out internal observability and alerting so we catch fleet problems before customers feel them - Design and maintain the CI pipelines that ship our infrastructure code safely - Define infrastructure that can be torn down, failed over, and reconstituted from scratch using principle of immutable infrastructure using Terraform and Ansible - Build Golang/Rust GRPC services from scratch capable of supporting millions of users - Write Engineering Requirement Documents to take something from idea, to defined tasks, to implementation, to monitoring its success The arc of this role is more internal-facing than user-facing. You're building the platform that Railway engineers run on. This is a high impact, high agency role with direct effect on company culture, trajectory, and outcome. About you - A strong understanding of distributed systems and what it takes to operate them. You enjoy building fault tolerant, resilient, and scalable services, and you care about what happens when they break at 3am - Hands-on experience with bare metal provisioning, configuration management, and the unglamorous-but-critical work of getting hardware production-ready - Comfort building and operating internal tools. You understand that developer experience inside the company matters as much as the product outside it - A solid intuition about how long your solutions will last. All systems age. In startups, we can hope for 2-3 orders of magnitude, or 12-18mo - The tact to implement your solution, create monitors for its error boundaries, and document any requirements for when you're not around - A great sense of direction and prioritization when it comes to dealing with the ambiguity of an early stage startup - A sense of grit to dive into a problem, implement a solution, scale that solution, and replace it when needed - A great set of communication skills for getting your point across, solution implemented, and beyond We value and love to work with diverse persons from all backgrounds Things to know For better or worse, we're a startup; our team dynamics are different from companies of different sizes and stages. - We're distributed ALL across the globe, and that's only going to be more and more distributed. As a result, stuff is ALWAYS happening. - We do NOT expect you to work all the time, but you'll have to be diligent about your boundaries because the end of your day may overlap with the start of someone else's. - We're a small team, with high ownership, who are not only passionate about what we do, but seek to be exceptional as well. At the time of writing we're 21, serving hundreds of thousands of users. There's a lot of stuff going on, and a lot of ambiguity. - We want you to own it. We believe that ownership is a key to growth, and part of that growth is not only being able to make the choices, but owning the success, or failure, that comes with those choices. Benefits and perks At Railway, we provide best in class benefits. Great salary, full health benefits including dependents, strong equity grants, equipment stipend, and much more. For more details, check back on the main careers page https://railway.com/careers. Beyond compensation, there are a few things that we believe that make working at Railway truly unique: - Autonomy: We have very few meetings. Just a Monday and a Friday to go over the Company Board. We think your time is sacred, whether it's at work, or outside of work. - Ownership: We're a company with a high ownership, high autonomy culture. We hope that you'll come in, help us, and over the course of many years do the best work of your life. When we bring you onboard, we expect you to change the company. - Novel problems/solutions: We're a startup that's well funded, with cool problems, which lets us implement novel solutions! We abhor “busywork” and think, whether it's community, engineering, operations, etc there's always opportunity for creative and high leverage solutions. - Growth: We want you to grow with us, but we know that talent is loaned, so when you figure out what area you want to grow in next, whether it's at Railway or outside, we'll make sure you land there. How we hire No tricks. No surprises. Here's the entire process. 1) Talk with us about the role This is completely open ended and we're just trying to see who you are, what you want to do, and where you wanna go. 2) Work on a small project to discuss in the interview Asynchronously implement the following: - Imagine a theoretical or actual system like Railway which can manage stateless and stateful compute workloads. Design the engine for managing orchestration - Interview Structure (60 Minutes): - Pre-work (before your interview): Complete your solution (advised) - 0-5m: introduction - 5-50m: Building (or expanding) your solution - 50-60m: Questions on Railway/Tech/etc You can, and SHOULD! ask us questions ahead of time. Ask away! 3) Review your solution with the Team You'll sit down with someone on the team and go over the above. We'll poke into your solution, as well as get you acquainted with two more members of the team. Looking for: Learn about your problem solving skills. How you break down a problem and how you present a solution. 4) Meet the Team You'll meet the Team, which will be comprised of 4 people from vastly different sections of the company. Looking for: How you work with the rest of the team and communicate. 5) Chat with CEO Sit down with our founder and CEO for 30 minutes. This is a 1:1, open ended conversation. 6) Offer call Finally, we will present the offers, hammer out the details about your position, tee up onboarding, and start our journey together. Final Note: The interview goes both ways. Once again, please ask us things. Many things! Hard things. That's what we're here for.

Location: San Francisco Bay Area, USA Workplace: OnSite WHY WORK AT HIGGSFIELD AI? We're the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. ROLE OVERVIEW Higgsfield AI is looking for a hands-on Member of Technical Staff, Infrastructure Security to build, secure, and operate the systems that protect our corporate infrastructure, employee devices, identities, and applications. As we scale globally, you'll own the technical implementation of security controls across identity and access management, endpoint security, SaaS applications, and corporate networks. Working closely with IT, Security, and Engineering, you'll identify vulnerabilities, implement practical solutions, and automate security operations. This is a highly technical, hands-on role where you'll personally configure, troubleshoot, and maintain critical security systems rather than primarily managing vendors or directing other teams. We're looking for a well-rounded security engineer with strong technical judgment who can prioritize risks, move quickly, and build scalable security solutions without creating unnecessary friction. WHAT YOU'LL DO IDENTITY & ACCESS SECURITY - Design, implement, and maintain identity and access controls across Microsoft Entra ID and corporate applications. - Configure and manage SSO/SAML, SCIM provisioning, MFA, Conditional Access, and role-based access controls (RBAC). - Secure and automate employee joiner, mover, and leaver (JML) workflows. - Implement least-privilege access and strengthen authentication and authorization practices. ENDPOINT & CORPORATE APPLICATION SECURITY - Own endpoint security controls across corporate devices, including Microsoft Intune/MDM, device compliance, and endpoint detection and response (EDR). - Secure SaaS applications through access management, permissions, provisioning, and configuration reviews. - Design and implement Zero Trust access controls based on user identity, device posture, and least-privilege principles. - Identify and remediate security gaps across corporate systems and applications. SECURITY AUTOMATION & INCIDENT RESPONSE - Build scripts, API integrations, and automated workflows to improve security operations and reduce manual processes. - Develop and maintain security monitoring, alerting, and detection capabilities. - Investigate compromised accounts, suspicious activity, and endpoint security incidents, driving containment and remediation. - Troubleshoot security infrastructure issues and continuously improve technical controls. TECHNICAL OWNERSHIP & SECURITY ENGINEERING - Identify and prioritize corporate security risks, balancing security requirements with business and operational needs. - Lead technical security initiatives from design and implementation through ongoing operations. - Partner with IT and Engineering to establish scalable security standards and practical guardrails. - Evaluate and implement security tooling while maintaining direct ownership of configuration and operations. WHAT WE'RE LOOKING FOR - 5+ years of hands-on experience in corporate security engineering, IT security, or enterprise security infrastructure, ideally in a high-growth technology environment. - Proven experience personally implementing, configuring, troubleshooting, and operating corporate security systems. - Strong experience with Microsoft Entra ID, SSO/SAML, SCIM, MFA, Conditional Access, and identity lifecycle management. - Hands-on experience with endpoint management and security tools, including Intune/MDM, device compliance, and EDR. - Experience securing SaaS applications, managing permissions, and implementing Zero Trust access principles. - Proficiency in scripting and automation using Python, JavaScript, PowerShell, or similar languages, including API integrations. - Familiarity with security monitoring, incident investigation, and remediation of compromised accounts or devices. - Strong security judgment and the ability to independently identify, prioritize, and resolve high-impact risks. - Broad technical expertise across corporate security infrastructure rather than specialization in a single area such as IAM, SOC, or endpoint management. COMPENSATION & BENEFITS • We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. • Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location. • Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. • • Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally • The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. • Significant ownership, direct impact, and opportunities for professional growth as the company scales.   This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

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 Livelihoods Researcher to help us identify and fund the most cost-effective ways to improve living standards among the global poor. You will have an outsized influence on our funding decisions and help us improve lives on a global scale. Our livelihoods team is organized around thematic verticals, which includes cash transfers, broader social protection programs, education programs, and support for small and medium sized businesses in low-income countries. Across the portfolio, we try to maximize the social return on our investment, which we measure as the increase in relative consumption per $. We value consumption gains more highly among poorer populations, which has meant most of our grantmaking to date has focused on programs which support deprived populations within low-income countries (mostly in sub-Saharan Africa). As a Senior Livelihoods Researcher, you’ll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell’s grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment. We’re open to a wide variety of professional development pathways depending on your preferences and our needs. The role You will be joining a small grantmaking team to contribute to our ambitious research agenda on livelihoods. You’ll sift through the countless questions we could try to answer, and honing in on those that matter most. You’ll also communicate externally about your work and advise other researchers on the team. You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell livelihoods team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. In the course of your work, you might approach questions like these: What effect do rural trailbridges have on the consumption of nearby communities? What are long-run effects of unconditional cash transfers and ultra poor graduation programs on recipients? What would happen to prices and markets if we took cash transfer and ultra poor graduation programs to scale? How should GiveWell value interventions which try to reduce the variance of consumption (as opposed to increasing the average)? Several countries in sub-Saharan Africa have seen large scale-ups in donor-funded livelihoods programs over the last 30 years but very little movement in poverty headcount rates and median consumption per capita. Why? Team structure Our research department has over 60 people, and is currently organized into eight teams: Five of the teams (Water, Nutrition, Malaria, Vaccines, and Livelihoods) focus on specific areas of grantmaking. The New Areas team focuses on interventions in domains that are new to GiveWell. The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. Team values We think our research team has unique qualities: We care deeply and centrally about finding and sharing truth. Truth-seeking is one of our core values . We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong. We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs. We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions. Lean research team = huge personal impact. In 2026, our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future. We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly. About you We expect the Senior Livelihoods Researcher to have A quantitatively oriented advanced degree (e.g., in economics, statistics, public policy or related fields) Substantial professional experience in the livelihoods landscape (broadly defined). This could include experience in academic research and/or in program implementation or funding. We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality: GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact. You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny. You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s. You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels. You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks. You love a gnarly problem . You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned. You constantly assess whether you and the team are working on the most important things. If you’re interested in working on GiveWell’s research team but don’t have livelihoods expertise, consider applying to our generalist Senior Researcher role. 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 apply to only one Senior Researcher posting. If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage! 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 Vaccines 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 have a strong preference for full-time applicants, but we sometimes consider applications for part-time work on a case-by-case basis. 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: East Coast - United States Workplace: remote About Zingtree Zingtree is the next-generation intelligent process automation platform reimagining customer experience operations for the world’s top support leaders. With 500+ customers, including Optum, Corpay, Sony, SharkNinja, and Allianz, we transform self-service, surface automation opportunities, and turn every agent into an expert. The Role We’re hiring a Senior DevOps / Platform Reliability Engineer to own the platform that powers our agentic CX product. You’ll build the CI/CD, infrastructure, and observability backbone that enables us to ship multi-agent systems safely to enterprise customers. If you want to operate a production AI platform and use AI to help operate it, this role is for you. In this role, you will collaborate with development, operations, and infrastructure teams to automate and streamline processes, build and maintain tools for deployment, monitoring, and operations, and troubleshoot issues across development and production environments. What You'll Do Own and evolve CI/CD pipelines using GitHub Actions and OIDC-based authentication for microservices and agentic workloads, with safe, fast, and reversible deployments. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform and CloudFormation. Operate and scale our Kubernetes platform (EKS + Argo CD), including autoscaling, ingress, external-dns, cert-manager, External Secrets Operator, backups, runtime guardrails, and multi-tenant isolation for enterprise customers. Manage the edge and network perimeter, including Cloudflare (CDN, WAF, Bot Management, DDoS protection, Zero Trust / Access), CloudFront, API Gateway, ALB/NLB, Route 53, and network security controls. Operate the data and event tier, including Aurora MySQL, ElastiCache/Redis, S3, and MSK (Kafka), with responsibility for backups, point-in-time recovery (PITR), and multi-AZ disaster recovery aligned to defined RTO/RPO objectives. Build and maintain Lambda workloads where event-driven or serverless architectures are the right fit. Build observability as a product using Prometheus, Grafana, and OpenTelemetry, including telemetry for LLM and agentic systems such as token cost, tool-call latency, evaluation signals, and prompt/version tracking. Strengthen our security and compliance posture for SOC 2 and HIPAA, including least-privilege IAM, SCPs, secrets management, SAST/DAST, dependency and container scanning, image signing, AWS Config, Security Hub, GuardDuty, Inspector, and evidence automation. Drive FinOps initiatives, including tagging standards, Savings Plans and Reserved Instances, per-tenant and per-workload cost attribution, and LLM cost controls. Build and evolve our AI-native DevOps capabilities (see section below). Partner with engineering teams to define platform standards, service templates, deployment best practices, and operational SLOs. Monitor system performance and ensure reliability, scalability, and security across infrastructure and services. Collaborate with software engineering teams to support continuous integration and continuous delivery best practices. Document infrastructure, deployment processes, and operational standards to support knowledge sharing across the team. Agentic AI in DevOps You’ll help define how Zingtree uses agentic AI to operate and improve our platform using modern AI operational practices. Responsibilities include: Design and operate auto-remediation agents for common production toil such as certificate rotation, noisy pods, infrastructure drift, and flaky CI pipelines, with human-in-the-loop (HITL) controls for any destructive or customer-impacting actions. Use LLMs for incident triage and root cause analysis, including log and trace summarization, signal correlation, and first-draft postmortems that are always reviewed by humans. Connect AI agents to internal systems through the Model Context Protocol (MCP), including GitHub, Jira, PagerDuty, AWS, Kubernetes, Terraform, and related platforms, using scoped credentials, audit logging, and allow-listed access. Apply AI-driven observability techniques, including anomaly detection on metrics, LLM-based log clustering, and alert deduplication and summarization on top of Prometheus and OpenTelemetry. Establish operational guardrails such as prompt/version pinning, evaluation frameworks for agent behavior, cost and rate-limit controls, policy-as-code (OPA/Conftest) for AI-generated infrastructure changes, and clearly defined blast-radius controls. Define best practices for AI coding assistants such as GitHub Copilot, Claude, and Amazon Q in infrastructure repositories, including review workflows, prompt design, and restrictions on auto-merged changes. Treat AI components as production systems with SLOs, observability, on-call readiness, runbooks, and rollback strategies for agents and prompts. About You Required Qualifications 5+ years of experience in DevOps, SRE, or Platform Engineering operating production systems on AWS. Strong experience with CI/CD pipelines and tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI. Hands-on experience operating production EKS environments, including autoscaling, ingress, secrets management, and cluster upgrades. Strong AWS networking experience, including multi-account VPC design, subnets, routing, security groups, NACLs, Route 53, ACM, and load balancers. Deep experience with Terraform and GitHub Actions, ideally using OIDC-based cloud authentication. Experience with Aurora/RDS MySQL, Redis (ElastiCache), and S3, including backups, PITR, migrations, and lifecycle management. Strong observability experience using Prometheus, Grafana, and OpenTelemetry. Experience operating Argo CD at scale. Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible. Experience managing Cloudflare services including WAF, Bot Management, Rate Limiting, and Zero Trust / Access, along with CloudFront. Experience operating Kafka/MSK at scale, including topics, consumer groups, and schema registries. Experience with Lambda and event-driven architectures. Comfortable working with Python, Bash, and Linux systems. Strong understanding of security best practices across IAM, KMS, secrets management, networking, and software supply chain security. Familiarity with vulnerability scanning and compliance tooling. Nice to Have Experience operating LLM or ML workloads in production, including LiteLLM, Bedrock, pgvector, prompt caching, or evaluation systems. Experience building or integrating MCP servers or deploying agent frameworks such as LangGraph or CrewAI in production environments. How We Work We bias toward automation over toil. If you do it twice, script it. If it pages twice, fix it. We’re a small team with high ownership. You’ll help define standards, not just follow them. Humans stay in the loop for anything risky. AI accelerates decision-making but does not replace judgment. We value blameless incident reviews, documented decisions, and fast feedback loops. What We Offer Competitive compensation packages Comprehensive health benefits: 100% of employee premiums covered 75%–80% of dependent premiums covered for most health, dental, and vision plans 401(k) plans to support retirement planning (no employer matching currently) Paid parental leave Unlimited PTO Flexible remote work from anywhere Up to $200/month co-working reimbursement Home office stipend: Up to $500 for home office setup $100/month for internet, phone, and related expenses Zingtree Values Lead with Action We are doers. We move quickly with purpose, take smart risks, learn fast, and focus on outcomes that benefit our customers and the business. People Really Matter We win as a team. We care deeply about our customers and employees, helping each other achieve professional growth and meaningful impact. Ownership Leads to Results When we commit, we deliver. We operate with integrity, accountability, and high standards. Expertise Creates Value We are learners. We continuously grow our knowledge, share expertise, and apply it to create meaningful results. Transparency Builds Trust We communicate openly, honestly, and respectfully. We share information that matters and build trusted relationships through clarity and empathy.

Location: Los Angeles, United States; California City, United States; Orange, United States About LBC Mortgage LBC Mortgage is a Los Angeles–based mortgage company with over 20 years of industry experience . Our Private Lending Division is rapidly growing and focused on funding real estate investor loans nationwide, including Fix & Flip, Bridge, DSCR, and Ground-Up Construction. We are looking for an experienced Senior Hard Money Underwriter who can independently underwrite complex deals, support junior underwriters, and ensure strong credit and collateral decisions while keeping the pipeline moving quickly. Key Responsibilities Independently underwrite and approve Hard Money / Private Money loans (Fix & Flip, Bridge, DSCR, Ground-Up, Cash-Out, etc.) Review full loan packages including borrower profile, entity structure, credit, liquidity, and exit strategy Analyze collateral, appraisals, comps, market conditions, rehab budgets, and timelines Calculate and validate LTV, ARV, LTC , and deal profitability Identify risk factors early and provide clear recommendations to leadership Issue approvals, conditions, and exceptions in line with company guidelines Collaborate with Loan Officers, Processors, and Closing teams to ensure fast turn times Assist in training, mentoring, and supporting junior underwriters Participate in improving underwriting processes, policies, and efficiency Ensure loan files meet internal requirements and compliance standards Requirements 4+ years of Hard Money / Private Money underwriting experience (required) Strong expertise in ARV underwriting , rehab budgets, and investor deal analysis Proven experience underwriting Fix & Flip and Bridge loans at volume Strong knowledge of appraisals, title, insurance, entity documentation, and real estate investor structures Ability to work independently and make confident credit decisions Strong communication skills with internal teams, brokers, and borrowers Highly organized with strong attention to detail and deadline management Preferred Qualifications Experience underwriting Ground-Up Construction loans Experience underwriting DSCR / rental portfolio loans Background in mortgage underwriting is a plus Familiarity with Encompass, Calyx, or other loan origination systems Why Join LBC Mortgage Stable company with 20+ years in the lending industry Rapidly growing Private Lending Division with strong deal flow Competitive compensation based on experience Remote flexibility Opportunity to grow into Underwriting Manager / Credit Lead role High-impact position with direct influence on loan quality and performance

Location: Los Angeles, United States; California City, United States LBC Mortgage is expanding its lending division and is actively seeking an experienced Hard Money Loan Officer to join our high-performing team. We are looking for a driven, knowledgeable sales professional with direct experience in Hard Money / Private Lending . This is a results-focused role designed for someone who understands investor financing and knows how to close deals efficiently. About LBC Mortgage LBC Mortgage is a well-established mortgage brokerage committed to delivering tailored financing solutions to real estate investors and borrowers. As we continue to grow our lending portfolio, we are building a strong team of professionals who understand the urgency, complexity, and opportunity within the Hard Money space. Key Responsibilities Work directly with real estate investors seeking hard money financing Structure and present loan solutions based on LTV, ARV, and deal strength Manage the full loan lifecycle from lead intake to funding Build and maintain strong relationships with investors and referral partners Consistently meet and exceed monthly production goals Required Qualifications Proven experience in Hard Money lending (required) Strong understanding of real estate investment transactions Ability to analyze deals and assess risk quickly Excellent communication, negotiation, and closing skills Self-motivated and performance-driven What We Offer Competitive compensation structure Uncapped commission potential Strong operational and underwriting support Growth opportunities within a respected mortgage brand Access to consistent deal flow If you are experienced in hard money lending and ready to grow within a dynamic mortgage company, we would love to connect. Apply today and join the LBC Mortgage team!

Location: Los Angeles, United States; California City, United States LBC Mortgage is expanding its lending division and is actively seeking an experienced Hard Money Account Executive to join our high-performing team. We are looking for a driven, knowledgeable sales professional with direct experience in Hard Money / Private Lending . This is a results-focused role designed for someone who understands investor financing and knows how to close deals efficiently. About LBC Mortgage LBC Mortgage is a well-established mortgage brokerage committed to delivering tailored financing solutions to real estate investors and borrowers. As we continue to grow our lending portfolio, we are building a strong team of professionals who understand the urgency, complexity, and opportunity within the Hard Money space. Key Responsibilities Work directly with real estate investors seeking hard money financing Structure and present loan solutions based on LTV, ARV, and deal strength Manage the full loan lifecycle from lead intake to funding Build and maintain strong relationships with investors and referral partners Consistently meet and exceed monthly production goals Required Qualifications Proven experience in Hard Money lending (required) Strong understanding of real estate investment transactions Ability to analyze deals and assess risk quickly Excellent communication, negotiation, and closing skills Self-motivated and performance-driven What We Offer Competitive compensation structure Uncapped commission potential Strong operational and underwriting support Growth opportunities within a respected mortgage brand Access to consistent deal flow If you are experienced in hard money lending and ready to grow within a dynamic mortgage company, we would love to connect. Apply today and join the LBC Mortgage team!

Location: Pakistan; Philippines; Mexico; Colombia; Argentina; India About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing performance marketing agency that helps direct-to-consumer (DTC) brands scale profitably through Paid Media, Conversion Rate Optimization (CRO), creative strategy, and conversion-focused publisher networks. Acting as an extension of their clients’ in-house growth teams, they specialize in rapid testing, high-converting funnels, and data-driven experimentation to drive measurable revenue growth. Job Summary We’re hiring a highly execution-focused Front-End Engineer with a strong direct response mindset to help launch and optimize landing pages, advertorials, and conversion funnels for high-growth DTC brands. This role is ideal for someone who thrives in fast-paced environments, understands how paid traffic and landing pages work together, and can rapidly bring ideas from concept to live deployment. You’ll work closely with paid media, creative, and growth teams to build high-converting customer journeys that improve conversion rates and revenue performance. Key Responsibilities Build and launch landing pages, advertorials, and publisher-style pages across multiple DTC brands. Rapidly execute experiments and A/B tests to improve conversion rates (CVR) and revenue per visitor (RPV). Translate rough creative direction into polished, conversion-focused page experiences. Collaborate closely with paid media teams to align messaging, offers, and funnel strategy. Implement and QA tracking using GA4, Google Tag Manager, Hotjar, Microsoft Clarity, and other analytics tools. Optimize page structure, layouts, hooks, and offers based on performance data. Ensure pages are mobile-optimized, fast-loading, and conversion-focused. Assist with direct response copywriting for headlines, hooks, advertorials, and funnel messaging. Continuously iterate on page performance through testing and rapid deployment cycles. Help create scalable internal processes and systems for faster page launches and experimentation. Requirements Proven experience building direct response landing pages and advertorials for paid traffic campaigns. Strong understanding of conversion-focused design and copywriting principles. Experience with Webflow, Shopify, Replo, or similar landing page builders. Working knowledge of HTML/CSS and basic JavaScript. Experience with CRO and experimentation tools such as VWO, Convert, or similar platforms. Familiarity with GA4, Google Tag Manager, Hotjar, or Microsoft Clarity. Understanding of funnel structures including pre-sell pages, landing pages, upsells, and checkout flows. Experience working in agency or startup environments with rapid iteration cycles. Ability to work independently and execute quickly with minimal hand-holding. Strong attention to detail and ownership mindset. Basic understanding of SEO/AEO best practices is a plus. Familiarity with paid media ecosystems such as Meta Ads and Google Ads is preferred. Benefits 💰 Competitive salary based on experience and seniority 🌎 Fully remote role with flexible working hours 🚀 Work on impactful, user-facing products with a global reach 📈 Clear career progression in a high-growth tech environment 🎯 Collaborative, product-driven culture with strong engineering standards 🤝 Direct placement with the client—no outsourcing layers