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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Media Foundation’s mission is simple: Delivering seamless, high-performance media experiences that meet and exceed industry standards, ensuring unparalleled engagement across all platforms at Reddit. Media is the most engaging medium on Reddit, whether it’s for posts, comments, or ads. This is a pivotal role within the Media Foundation team, essential to shaping Reddit's media experience across all devices. We are seeking a stellar engineer with a deep understanding of scalable media solutions who can drive innovation, deliver top-tier video experiences to our users, and guide other teams in seamlessly integrating with our video API. This role not only involves building robust media capabilities but also contributing to the growth and strength of our media engineering team as Reddit continues to scale. This is a high impact role where you will drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world. What You Will Do Architect a highly modular, easy-to-integrate iOS video player that enables other teams to build features effortlessly while delivering first-class performance for users. Partner with backend media infrastructure and CDN teams to optimize global delivery and performance. Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel media products and features that our users will love. Work with a team of thoughtful, fast-moving, and motivated engineers. Set and define standards that improve developer workflows, recommend best practices, and help coach and mentor engineers on the team to further their professional development. Utilize AI-assisted development tools to accelerate prototyping, system design, and coding, while applying rigorous judgement to validate and own the final outputs. Qualifications At least 8+ years of experience as a software engineer developing user-facing iOS mobile native applications at scale, using Swift. In-depth knowledge of AVFoundation for video and audio playback, asset management, streaming, editing, and exporting capabilities. Strong understanding of Core Media for timing and synchronization and Core Video for buffer handling, essential for custom playback and real-time video manipulation. Familiarity with HTTP Live Streaming (HLS), MPEG-DASH, MP4, and other streaming protocols, as well as working knowledge of streaming frameworks and CDN integration for optimized video delivery. Familiarity with reactive frameworks (RxSwift, Combine) Strong organizational skills, the ability to prioritize tasks and to deliver projects on schedule. BS degree in Computer Science, a similar technical field of study or equivalent practical experience. Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure. Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: New York; London, England Workplace: hybrid About us   Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally   Our culture   We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.   About the role:    We are looking for a highly driven Strategy & BD Associate to work closely with Aave Labs’ leadership team on high-impact strategic initiatives across ecosystem growth, product expansion, and institutional adoption. This is a unique opportunity to operate at the intersection of strategy, business development, and execution within one of the most influential organizations in decentralized finance. The role is designed for someone who thrives in fast-moving environments, enjoys solving complex problems, and is excited to help shape the future of onchain finance.  You will support and help drive a broad range of initiatives across Aave Labs, reporting to the Chief Strategy & Business Officer, working cross-functionally with product, engineering, legal, marketing, ecosystem, and external partners. This role is intentionally designed with broad exposure across strategy, ecosystem growth, and execution. For the right person, it represents a significant opportunity to grow within Aave Labs’ business development and strategic functions over time, take ownership of key initiatives, and help shape the evolution of the team as the organization continues to scale. How you can make an impact: Support the development and execution of strategic growth initiatives across Aave Labs’ ecosystem and products Work closely with leadership to help identify and evaluate new market opportunities and expansion strategies Coordinate cross-functional initiatives across product, engineering, legal, marketing, and ecosystem teams to drive execution and alignment Assist in developing and managing strategic partnerships across DeFi, fintech, infrastructure, and institutional ecosystems Conduct market research, competitive analysis, and ecosystem mapping to support business and strategic decision-making Help prepare strategic materials including partnership proposals, market overviews, presentations, and ecosystem analyses Support business development efforts including outreach coordination, pipeline management, partner tracking, and stakeholder communication Monitor trends across DeFi, stablecoins, tokenization, institutional adoption, and digital asset infrastructure to identify emerging opportunities Contribute to internal strategic planning and operational initiatives as Aave Labs continues to scale globally Let's connect if you have: 3–5 years of experience in strategy, business development or partnerships, and digital assets Strong understanding of crypto, DeFi, and the evolving digital asset ecosystem Intellectual curiosity and a genuine passion for decentralized finance and emerging financial infrastructure Exceptional communication, organizational, and project management skills Ability to operate autonomously and manage multiple workstreams in fast-moving environments Strong analytical and strategic thinking capabilities with high attention to detail Comfortable working cross-functionally with both technical and non-technical stakeholders High-agency mindset with a willingness to take ownership and drive initiatives forward Strong team player who thrives in collaborative and globally distributed environments Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!   Equal opportunities statement:   Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.                 #LI-MG1

Location: Amsterdam, Netherlands; Remote - Europe; Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a highly skilled ML/AI Engineer to join our team to lead and support benchmarking of GPU platforms benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimisation and next-generation hardware development. Your responsibilities will include: Work closely with hardware, development teams to profile and analyse GPU performance at the system and kernel level. Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g.,CUDA, ROCm). Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks. Perform acceptance testing acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads. Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimisations on performance and scalability. Develop tools and dashboards to visualise performance metrics visualise performance metrics, bottlenecks, and trends. Contribute to internal tooling, frameworks, and best practices We expect you to have: A profound understanding of theoretical foundations of machine learning Deep understanding of performance aspects of large neural networks training and inference (data/tensor/context/expert parallelism, offloading, custom kernels, hardware features, attention optimisations, dynamic batching etc.) Deep experience with modern deep learning frameworks (PyTorch, JAX, Megatron-LM, Tensort-LLM) Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries Familiarity with containerized environments (e.g., Docker, Kubernetes). Strong communication and ability to work independently Ways to stand out from the crowd: Familiarity with modern LLM inference frameworks (vLLM, SGLang, TensorRT) Experience in Python and performance profiling tools (e.g., Nsight, nvprof, perf). Familiarity with cloud ML platforms like AWS, GCP, Azure ML Contributions to open-source ML benchmarking tools Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout. What You’ll Be Doing Lead the product planning, requirement analysis, and solution design of the AI Native engineering platform, and drive continuous product evolution and adoption. Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions. Design AI Agent capabilities for engineering scenarios , including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation. Drive the integration of AI capabilities with code repositories, CI/CD pipelines, testing platforms, deployment environments, and knowledge platforms to deliver a unified end-to-end product experience. Establish mechanisms for product effectiveness evaluation, user feedback, and continuous optimization , and support the product’s scale-up from pilot validation to broad adoption. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 8+ years of experience in ToB products, platform products, or intelligent product solutions. Must have an engineering background , such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams. Strong understanding of DevOps , engineering productivity, software delivery processes, and quality systems , with the ability to abstract and productize complex workflows. Solid understanding of AI Agent product design , with the ability to design for task execution, workflow orchestration, result validation, and delivery closure. Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of Claude Code , Codex, Cursor , and Copilot , as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations. Strong structured thinking, cross-functional collaboration, and execution skills; experience with engineering platforms, DevOps platforms, platform products, or intelligent products is a plus. Nice to Haves Experience with products related to AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows . Experience building engineering platforms, DevOps platforms, or platform products from 0 to 1 or from 1 to N. Hybrid background of engineering-to-product transition , or contributions to open source, communities, or public thought leadership in AI or engineering productivity. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependents. More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: São Paulo Office Workplace: Hybrid About the Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Sales Executive As Senior Sales Executive — Enterprise Brazil, you are core to our mission of building and expanding Taktile's enterprise customer base across Brazil's financial services sector. You will play a critical role in driving growth by creating a robust pipeline of strategic accounts among the country's largest banks and financial institutions and guiding them through complex sales cycles with expertise and care. As a trusted partner and credible brand ambassador, you will represent Taktile in the Brazilian enterprise market, building strong relationships with senior stakeholders across risk, credit, technology, procurement, and legal. You will own deals with annual contract values above R$ 1M, navigate multi-month procurement processes at Tier-1 banks, and define how Taktile is sold, positioned, and delivered in Brazil for years to come. This role reports directly to Carolina Fraidemberge and is a foundational hire for our Brazil team.   About You - You’ve met or exceeded your sales targets for 5+ years at $200K+ ACVs. - You have extensive experience managing complex deal cycles of 6+ months. - You know how to build deep, strategic relationships with senior customer stakeholders, including C-suite executives. - You’re curious and customer-centric, with a talent for understanding enterprise customers’ challenges and delivering solutions tailored to their needs. - You’re humble and have a growth mindset, eager to continuously learn, implement new methodologies, and bring best practices into the business. - You’re collaborative and thrive in cross-functional environments, working closely with Marketing, BDR, and Customer Success teams. - You’re strategic and creative—always finding innovative ways to engage prospects and enhance the enterprise buying experience. - You have exceptional communication skills, with an ability to craft compelling messages that resonate with enterprise stakeholders. - You have a proven track record selling SaaS/software subscriptions to Financial Services and/or enterprise-scale businesses. - You are highly skilled in prospecting and navigating complex organizations to identify and engage decision-makers.   What You'll Do - Sell Taktile’s innovative decisioning software solution to large enterprise customers in Financial Services to meet or exceed your revenue targets. - Develop a deep understanding of our enterprise target markets, ideal customer profiles, and competitive landscape. - Manage a pipeline of complex, multi-stakeholder sales opportunities from lead to close, focusing on long-term value. - Drive outbound prospecting efforts to engage and qualify enterprise accounts. - Qualify and nurture opportunities generated by BDRs and Marketing. - Lead discovery sessions, product demos, and executive presentations to showcase Taktile’s value proposition. - Provide a seamless and outstanding buying experience for our enterprise customers. - Collaborate with the Customer Success team to ensure smooth handovers and long-term customer success. - Upsell and cross-sell within enterprise accounts to maximize value for customers and drive revenue growth. - Leverage proven enterprise sales methodologies such as MEDDICC and Challenger. - Use CRM and sales tools such as HubSpot, Salesforce, LinkedIn Sales Navigator, etc., to manage and track progress. - Provide market feedback to Product, Marketing, and Leadership to influence the roadmap and go-to-market strategies.   Ideal, But Not Required - Experience working in an early-stage start-up (Seed - Series B). - Deep knowledge of the FinTech, data, or ML/AI landscape.   Our Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here - Make an impact and meaningfully shape an early-stage company - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: North Macedonia; Georgia; Serbia; Croatia; Slovenia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary As an AI Engineer, you will be responsible for developing and optimizing AI systems, integrating machine learning models into production environments, and building scalable AI-driven applications. You will contribute to everything from model experimentation to deployment and performance optimization. Key Responsibilities Design, build, and deploy AI and machine learning solutions for real-world business applications. Develop and maintain applications using Large Language Models (LLMs) such as GPT-based systems. Build AI-powered automations, copilots, chatbots, and workflow systems. Fine-tune, evaluate, and optimize machine learning models for performance and scalability. Integrate AI systems with APIs, databases, CRMs, and third-party platforms. Collaborate with product and engineering teams to translate business requirements into AI-driven solutions. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor model performance, reliability, and cost efficiency in production environments. Maintain documentation, testing procedures, and deployment workflows. Stay updated on the latest AI trends, frameworks, and emerging technologies. Requirements 3+ years of experience in AI Engineering, Machine Learning, or Software Engineering. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. Experience working with LLMs, OpenAI APIs, Anthropic, Gemini, or similar AI platforms. Familiarity with vector databases, embeddings, and RAG architectures. Experience deploying AI applications using cloud platforms such as AWS, GCP, or Azure. Strong understanding of APIs, backend systems, and scalable application architecture. Experience with Docker, Git, CI/CD pipelines, and modern development practices. Excellent problem-solving and analytical thinking skills. Strong communication skills with the ability to work in remote, cross-functional teams. Bonus: Experience building AI agents, automation systems, or voice AI applications. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Mexico; Colombia; Brazil; Chile; Argentina; Costa Rica About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly skilled AI Engineer to design, develop, and deploy scalable AI and machine learning solutions. You’ll work closely with product, engineering, and leadership teams to build intelligent systems that power automation, analytics, conversational AI, and predictive capabilities. This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and solving real-world business challenges with cutting-edge technology. Key Responsibilities Design, develop, and deploy AI/ML models for production environments. Build and optimize AI-powered applications using large language models (LLMs) and generative AI tools. Develop intelligent automation workflows, chatbots, recommendation systems, and predictive analytics solutions. Fine-tune, evaluate, and improve machine learning models for performance and scalability. Collaborate with software engineers and product teams to integrate AI features into existing platforms. Work with structured and unstructured datasets for training and inference pipelines. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor AI systems, troubleshoot issues, and continuously improve model accuracy and efficiency. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Maintain documentation for AI models, systems, and workflows. Requirements 3+ years of experience in AI engineering, machine learning, or related software engineering roles. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Hands-on experience working with OpenAI APIs, LLMs, generative AI, or NLP systems. Experience deploying machine learning models into production environments. Familiarity with vector databases, embeddings, and RAG architectures. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of Docker, Kubernetes, APIs, and CI/CD pipelines is a plus. Strong understanding of data structures, algorithms, and software engineering best practices. Excellent problem-solving and analytical skills. Strong communication skills and ability to work in a remote, collaborative environment. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Dammam, Saudi Arabia Eram Talent is seeking experienced professionals to conduct Heavy Equipment Assessments. As a global Talent Acquisition Consultancy, Eram Talent is committed to providing outstanding recruitment and certification solutions across various industries. The assessor will be responsible for evaluating the competencies of heavy equipment operators to ensure compliance with industry standards and safety requirements. Key Responsibilities Conduct thorough assessments of heavy equipment operators’ competencies, including practical and theoretical evaluations. Ensure assessments adhere to company policies and regulatory standards. Maintain accurate records of assessment results and provide detailed reports. Provide constructive feedback to operators to help improve their skills and safety practices. Collaborate with the training team to assist in the development and updating of assessment materials. Assist in quality assurance and compliance audits related to operator competency. Requirements Minimum of 3 years experience operating heavy equipment. Minimum of 5 years Industrial experience of specific role. 3 years of experience as instructor/teacher. Academic and Professional Qualifications (minimum) Technical qualifications or diploma in the relevant craft/subject. Certified in specific area of expertise: Heavy Equipment (Backhoe- Bulldozer- Forklift- Wheel loader- Backhoe loader- … etc, Cranes, and/or Rigging. Knowledge of Training/Assessment development would be an advantage. Previous experience in assessment or evaluation roles preferred. Strong knowledge of heavy equipment operation including Backhoe, Bulldozer, Forklift, Grader, Wheel loader, Skid loader, Backhoe loader, Sideboom, and Telehandler. Familiarity with industry safety standards and certification processes. Excellent communication and organizational skills. Ability to provide clear, constructive feedback and maintain professionalism during assessments. Relevant certifications or qualifications in heavy equipment operation and assessment are preferred. Benefits Salary is not a constraint ,company is looking for right candidate .

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: New York, NY or Remote About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! Overview: EvolutionIQ is developing a cutting-edge Artificial Intelligence (AI) based product designed to enhance efficiency and accuracy for Workers' Compensation Adjusters. We are seeking highly experienced, Subject Matter Experts (SMEs) to partner with our Product and Engineering teams in the development of that product. The primary role of the SME will be to provide expert validation, feedback, and real-world context on the product's features, user experience, and the quality/relevance of the AI-generated outputs. Key Responsibilities AI Output Validation: Critically assess the accuracy, relevance, completeness, and practical utility of the AI-generated summaries, recommendations, and data extractions against source medical documents (e.g., Provider Visit Notes, Attending Physician Statements, Medical Bills, etc.) Product Evaluation: Actively use and evaluate pre-release versions of the product’s features, leveraging your knowledge of claims handling and decision-making processes that [examiners/ adjusters] have. Data Labeling: Accurately and consistently label medical information within insurance claims data. This includes identifying key medical facts, diagnoses, treatments, and other relevant details. Prompt Editing: Leveraging claims-handling expertise to edit LLM prompts (no technical experience required for this). Workflow Insight: Provide detailed feedback on how the product integrates into existing daily claims management workflows, identifying pain points and opportunities for improvement. User Experience (UX) Input: Offer constructive criticism on the product's user interface and overall user experience to ensure it is intuitive for claims professionals. Required Qualifications Professional Experience: Ideally 1-5+ years of recent, hands-on experience as a Worker’s Compensation, Lost Time Claims Adjuster (Bodily Injury/Liability focus). Technical Aptitude Comfortable working with computers and learning new software applications. Familiarity with data labeling tools or natural language processing (NLP) is a plus but not required. Critical Thinking: Exceptional ability to review complex documentation (medical, legal, financial) and critically evaluate the key pieces of information buried within and relevance. Communication Skills: Excellent written and verbal communication skills, with the ability to articulate feedback clearly to a non-claims audience (product and engineering team). Attention to Detail: Meticulous attention to detail and a commitment to accuracy in evaluation and validation of output. Preferred Qualifications Experience in training, mentoring, or process improvement roles within a claims environment. Specific experience using AI or automation tools in a professional setting. Compensation & Perks: This opportunity is part of a paid user research project focused on Workers’ Compensation claims expertise. Compensation will vary based on participation level, experience, and scope of involvement. Hours may increase depending on business needs. This project offers a unique opportunity to collaborate with a rapidly scaling AI Insurtech SaaS company. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: San Francisco, CA Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . As Reddit continues to scale globally, reliability and performance are more critical than ever. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient. We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences. This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can influence engineering culture across the organization. What you’ll do: Lead Reliability Engineering for User Experience Drive reliability, scalability, and operational excellence for critical user facing systems and services. Improve performance and resiliency across APIs, content delivery, feed generation, search, messaging, and real-time experiences. Architect for Scale Partner with product and infrastructure engineering teams to design systems that remain highly available and performant under massive global load. Guide architectural decisions around failover, redundancy, graceful degradation, traffic management, and capacity planning. Reduce Operational Risk Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Build proactive mitigation strategies and drive engineering improvements that reduce incidents and improve service health. Drive Automation Eliminate repetitive operational work through automation and tooling. Build systems that improve deployment safety, incident response, remediation workflows, and reliability guardrails Incident Management Lead complex incident response efforts across engineering teams. Drive blameless postmortems, identify root causes, and ensure sustainable long-term fixes are implemented. Influence Engineering Standards Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company. Mentor and Multiply Impact Provide technical leadership and mentorship to engineers across SRE and software engineering teams. Help shape reliability culture and raise the operational excellence bar across the organization. What We’re Looking For 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems. Strong collaboration and communication skills with the ability to influence technical direction across teams. Strong experience supporting high traffic, user facing production environments. Deep understanding of one or more: distributed systems, networking, Linux systems, cloud native architectures. Experience designing highly available systems with strong operational and reliability practices. Strong programming skills in languages such as Go, Python, or similar. Strong understanding of observability systems including metrics, logging, tracing, and alerting. Experience improving reliability through SLOs, automation, incident management, and performance optimization. Demonstrated ability to troubleshoot complex issues across applications, infrastructure, networking, and services. Nice to Have Experience operating systems at internet scale traffic volumes. Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms. Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies. Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure. Contributions to open source software or participation in technical communities. Experience leading large scale incident response and operational transformation initiatives. Why Join Reddit? You’ll help shape the reliability and performance of one of the internet’s largest platforms, influencing experiences used by millions of people every day. This is an opportunity to solve deeply complex engineering problems at massive scale while helping define the future of reliability engineering for a modern consumer platform. Benefits Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Private Medical, Dental, and Vision Benefits Personal Retirement Savings Account with matching contribution Cycle to Work and Tax Saver schemes Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - Toronto, Ontario; Remote - Vancouver, British Columbia; Remote - Denver Workplace: Remote The Company At Nylas, we specialize in making it easier for developers to add email, calendar, and contact management features into their applications. We provide APIs, which streamline the integration of these functionalities, ensuring they are secure and effective. This enables better, safer, and more reliable communication within apps. Supporting over 100,000 developers and collaborating with more than 900 companies globally, Nylas plays a pivotal role in how digital communication tools are built and utilized. Our technology spans various sectors, from healthcare to education, simplifying the complex process of app development related to communications. By reducing the barriers in communication technology, we empower developers to innovate and enhance user interaction across platforms. THE TEAM We're looking for a Product Manager who is going to usher in the new era of integrating with communication data. We operate with a founder's mindset. You'll own outcomes end-to-end, from early discovery through shipping and scaling, with the autonomy to move fast and the judgment to know when to slow down. We share wins, dissect failures, and hold a high bar for what a developer platform can be. If you're the kind of person who spots an opportunity on Monday and has a working prototype by Tuesday, you'll fit right in. WHAT YOU'LL DO - Partner with leadership to define and execute on a particular area of the product portfolio that you own, keeping in line with the broader company objectives of unlocking AI utility, owning the AI agent comms harness, and making Nylas the fastest time to value for AI-based workflows. - Formulate technically complex and nuanced subject matter into clear business value. You can make sense of a deeply technical domain, reason through it, and translate it into a confident business bet. - Roll up your sleeves with Marketing to co-own GTM strategy, shaping how Nylas is positioned in a fast-moving AI landscape, crafting narratives that resonate with developers, and driving execution through launch and beyond. - Deeply understand how developers are building AI-powered applications today: what they're reaching for, where they're getting stuck, and where Nylas can become an indispensable part of that stack. - Lead discovery with our developer community and enterprise partners through closed betas, feedback loops, and continuous validation, building what the market needs before they can articulate it. - Own the documentation and launch lifecycle, ensuring every release sets a new standard for developer experience. - Move fast on low-risk problems. Don't wait when you can act. THE IDEAL CANDIDATE: - Problem-led thinking is non-negotiable. You identify and articulate user problems clearly before reaching for solutions. Your work history reflects outcomes, not just output. You can point to metrics that moved, not just features that shipped. - You are genuinely plugged into how AI is changing software development. Not because your last job required it, because you're drawn to it. You're experimenting with tools like Claude Code, Codex, or similar in your own time. You have a nuanced understanding of the AI landscape, concepts such as LLMs, agents, RAG, and embeddings, and can speak to these with depth, not just vocabulary. If you've operationalized AI-based features or built pipelines in a professional context, even better. - You have a builder's instincts. You don't wait for a designer to be free before moving on a prototype. You don't wait for an engineer to run an audit, you can orchestrate yourself. You know the difference between what requires a specialist and what you can unblock with the right tools and good judgment. You operate within safe boundaries, but you push those boundaries as far as they reasonably go. - You have strong developer empathy. You understand how developers evaluate tools, make build-vs-buy decisions, and think about integrating third-party infrastructure into their products. You don't need to have come from a connectivity or API company, but you need to understand the developer mindset deeply, especially as it's evolving in the AI era. What You Must Bring - 3+ years of product management experience working on technical products - Background in software engineering, technical product development, or demonstrated builder experience inside or outside of work - Experience collaborating closely with engineering teams on requirements, trade-offs, and technical risks - Strong communication skills across technical and non-technical stakeholders - Comfort operating with ambiguity and incomplete information Bonus Points - Experience shipping AI-powered features, workflows, or developer tools - Experience taking products from 0 → 1 in either a professional or personal capacity - Experience working with APIs, developer platforms, or infrastructure products Interview Process - Round 1 - The Intro: 30 minute discussion with the Hiring Manager - Round 2 - The Deep Dive: Take home assignment to be followed by a 60 minute presentation with a panel - Round 3- The Loop: A series of 45-minute chats with the team (max 3 hours) where we look for the "what, why, and how" behind your best work. During the various discussions, candidates selected to meet with us are strongly encouraged to not only discuss their knowledge, skills, experience, and abilities but also to showcase examples of their current or previous work. We expect you to clearly outline the "what," "why," and "how" behind your contributions. The estimated base salary range for this position is $120,000 - 160,000 CAD. Actual compensation will be determined based on individual qualifications, which are objectively assessed during the interview process. Factors influencing salary include knowledge, skills, experience, and abilities. Nylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.

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: Remote - U.S. About Airship Airship is trusted by world’s leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross-channel customer experiences. Today, brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices— apps, websites, email, SMS, wallets and more. Airship’s no-code, AI-powered platform was designed with non-technical, growth-focused teams in mind, making it easy to create, test and orchestrate hyper-personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships. We invite you to be part of our journey in building products and delivering services that touch millions of customers around the world every day. To learn more about us, visit www.airship.com , read our blog or follow us on LinkedIn. About the Role The Airship Partnership team drives business relationships with leading technology vendors and agencies to jointly deliver high-impact customer engagement and expand Airship's presence across the MarTech ecosystem. We are hiring a Technology Partnerships Manager for both our Americas and EMEA regions. You will be responsible for managing a portfolio of strategic ISVs (like Google Cloud, Twilio, Salesforce, and leading CDPs, Personalization, Analytics and other MarTech platforms) and driving revenue and market share by sourcing and influencing sales opportunities within your region. This is a hands-on, high-impact individual contributor role. You will work in coordination with the VP of Global Partnerships and regional partnership leadership, who provide strategic direction and executive air cover, while you execute day-to-day partner development, activation, and co-sell motions. You will also be a key bridge between our partners and Airship's Sales, Product, and Marketing teams. What You'll Do Build and execute a systematic co-sell motion: define playbooks, identify joint targets with priority tech partners. Foster collaboration with Airship AEs and enable partner sales teams to ensure Airship stays top-of-mind Drive Sourced & Influenced Revenue: Generate new pipeline through proactive outreach, joint solution positioning, and partner introductions. Accelerate existing deals by leveraging partner networks, providing critical deal help, intel, new contacts, and highlighting integration value Act as GTM connective tissue: Collaborate with Sales, Customer Success, Solutions Engineering, Marketing, and Product to align partner initiatives with Airship's GTM priorities Represent Airship: Attend partner events, technology conferences, and ecosystem forums, with a goal to generate and accelerate opportunities Track, report, and achieve partner-attributed pipeline and revenue goals, using market and partner intelligence tools (e.g., Crossbeam) to quantify impact and refine priorities Operationalize Tech Alliances: Lead the daily relationship, joint business planning, regular syncs, and QBRs with key tech partners (Salesforce, Google, Twilio, Movable Ink, etc.). Serve as the primary bridge between partner and Airship teams within your region Enable and Activate Tech Partners and Airship Teams: Train partner teams on Airship's value proposition and use cases. Develop and maintain joint assets (one-pagers, battle cards, integration briefs) to empower partners to independently refer opportunities. Ensure Airship teams are knowledgeable on all tech partners and serve as their primary interface Expand the Ecosystem: Identify and onboard new technology partners by assessing joint value proposition, customer overlap, technical fit, and strategic alignment with Airship's roadmap Drive Co-Marketing: Help Airship and partner Marketing teams develop joint content, co-branded campaigns, and event activations that amplify partner relationships Facilitate Product Collaboration: Work between Airship and partner Product teams to develop or enhance integrations and joint solutions that address customer and market needs. Encourage adoption by collaborating with Customer and Product Marketing teams What We're Looking For 7–10 years of experience in technology partnerships, business development, or channel sales within the SaaS or MarTech industry Demonstrated track record of generating partner-sourced pipeline and/or influenced revenue in a quota-bearing or target-driven partnerships role Existing network of relationships with technology partners and platform vendors relevant to the MarTech ecosystem (CDPs, Marketing Clouds, cloud platforms, engagement and personalization ISVs) Strong commercial acumen and ability to connect partner activities to measurable pipeline and revenue impact Able to understand and articulate integration use cases, API-based workflows, and data flows in partner conversations without being an engineer Experience working cross-functionally with Sales, Product, and Marketing in a SaaS environment Excellent communication and presentation skills, with the ability to influence stakeholders at all levels both internally and with partners Experience experimenting with AI tools in your personal or professional life - or an eagerness to learn! We'd Be Delighted If You Also Have Deep understanding of customer engagement, mobile marketing, or digital marketing solutions Previous experience at a high-growth SaaS company in the $50M–$300M revenue range Familiarity with partner intelligence and CRM tools (e.g., Crossbeam, Salesforce) Work Location & Travel Requirements Airship’s ‘Digital First’ approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones. Some roles may require that employees perform their work from a specific location to support business activities, and/or be within proximity to an Airship office location or customer or partner locations, while other roles can be performed 100% remotely. This position is fully remote and may require up to 25% travel based for partner meetings, industry events, and field engagements or as requested by your manager. Compensation Starting Pay Range: $70,000 - $105,000 USD per year This is a good faith estimate of the base compensation we reasonably expect to pay for this position upon hire. Actual starting pay may vary based on factors such as relevant skills, work experience, market demands, and location. This role is eligible for a sales incentive plan. On-target earnings (OTE) are approximately $100,000 - $150,000 USD annually , consisting of base compensation plus variable incentive pay based on performance.All offers include stock options so employees have the opportunity to benefit from Airship’s success. Benefits & Perks Competitive medical, dental, and vision insurance options for you and your dependents Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off Support for your overall wellbeing with mental health and wellness resources Employer-subsidized life insurance as well as short-term and long-term disability A digital-first work environment and a monthly stipend to support remote work Mentorship and growth opportunities to build skills and accelerate professional development And more! We use artificial intelligence tools in our recruitment process as decision-support tools only. Airship's People Operations team reviews all AI-generated scores and recommendations before making any hiring determination. No applicant is rejected solely on the basis of an AI-generated output. Depending on your location, you may have the right to request human review of any AI-assisted employment decision or to opt out of AI evaluation. To make a request or learn more about how we use AI in hiring, contact privacy@airship.com or visit airship.com/legal . California residents can view the CCPA disclosure notice here . ** Please Note: To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”. Hiring Commitment Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable. By submitting this application, I affirm that the facts set forth in it are true and complete to the best of my knowledge. I understand that if I am employed, false statements, omissions, or misleading information given in my application, interview(s), or in a background check may result in dismissal.

Location: Remote - London About Airship Airship is trusted by world’s leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross-channel customer experiences. Today, brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices— apps, websites, email, SMS, wallets and more. Airship’s no-code, AI-powered platform was designed with non-technical, growth-focused teams in mind, making it easy to create, test and orchestrate hyper-personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships. We invite you to be part of our journey in building products and delivering services that touch millions of customers around the world every day. To learn more about us, visit www.airship.com , read our blog or follow us on LinkedIn. About the Role The Airship Partnership team drives business relationships with leading agencies and technology vendors to jointly deliver high-impact customer engagement and expand Airship's presence across the MarTech ecosystem. We are looking for an Alliance and Partnership Manager – EMEA to drive our initiatives and efforts with our ecosystem of agencies and technology partners across Europe, Middle-East and Africa (with a core focus on UK, Germany and France). You will be responsible for developing and managing a portfolio of agencies (such as Merkle, VML, Publicis, Deloitte Digital…) and strategic ISVs (like Google Cloud, Twilio, Salesforce, and other MarTech platforms) and driving revenue and market share by sourcing and influencing sales opportunities. This is a hands-on, high-impact individual contributor role.  You will work in coordination with the VP of Global Partnerships, who provides strategic direction and executive air cover, while you execute day-to-day partner development, activation, co-sell motions. You will also be a key bridge between our partners and Airship's Sales as well as Product and Marketing teams. What You'll Do Build and execute a systematic co-sell motion: define playbooks, identify joint targets with priority tech partners. Foster collaboration with Airship AEs and enable partner sales teams to ensure Airship stays top-of-mind Drive Sourced & Influenced Revenue: Generate new pipeline through proactive outreach, joint solution positioning, and partner introductions. Accelerate existing deals by leveraging partner networks, providing critical deal help, intel, new contacts, and highlighting integration value Act as GTM connective tissue: Collaborate with Sales, Customer Success, Solutions Engineering, Marketing, and Product to align partner initiatives with Airship's GTM priorities Represent Airship: Attend partner events, technology conferences, and ecosystem forums, with a goal to generate and accelerate opportunities Track, report, and achieve partner-attributed pipeline and revenue goals, using market and partner intelligence tools (e.g., Crossbeam) to quantify impact and refine priorities Operationalize Tech Alliances: Lead the daily relationship, joint business planning, regular syncs, and QBRs with key tech partners (Salesforce, Google, Twilio, Movable Ink, etc.). Serve as the primary bridge between partner and Airship teams within your region Enable and Activate Tech Partners and Airship Teams: Train partner teams on Airship's value proposition and use cases. Develop and maintain joint assets (one-pagers, battle cards, integration briefs) to empower partners to independently refer opportunities. Ensure Airship teams are knowledgeable on all tech partners and serve as their primary interface Expand the Ecosystem: Identify and onboard new technology partners by assessing joint value proposition, customer overlap, technical fit, and strategic alignment with Airship's roadmap Drive Co-Marketing: Help Airship and partner Marketing teams develop joint content, co-branded campaigns, and event activations that amplify partner relationships Facilitate Product Collaboration: Work between Airship and partner Product teams to develop or enhance integrations and joint solutions that address customer and market needs. Encourage adoption by collaborating with Customer and Product Marketing teams What We're Looking For 10-15 years of experience in technology partnerships, business development, or channel sales within the SaaS or MarTech industry Native in English or bilingual and mastering a second language (French or German) Demonstrated track record of generating partner-sourced pipeline and/or influenced revenue in a quota-bearing or target-driven partnerships role Existing network of relationships with leading Agencies (customer-marketing or digital experience focused) or Technology partners relevant to the MarTech ecosystem (CDPs, Marketing Clouds, cloud platforms, engagement and personalization ISVs) Strong commercial acumen and ability to connect partner activities to measurable pipeline and revenue impact Able to understand and articulate integration use cases, API-based workflows, and data flows in partner conversations without being an engineer Experience working cross-functionally with Sales, Product, and Marketing in a SaaS environment Excellent communication and presentation skills, with the ability to influence stakeholders at all levels both internally and with partners Experience experimenting with AI tools in your personal or professional life - or an eagerness to learn! We'd Be Delighted If You Also Have Bachelor's degree in Business, Marketing, or a related field. MBA is a plus but not required - field experience and a strong existing network take priority Deep understanding of customer engagement, mobile marketing, or digital marketing solutions Previous experience at a high-growth SaaS company in the $50M–$300M revenue range Familiarity with partner intelligence and CRM tools (e.g., Crossbeam, Salesforce) Experience managing partnerships across multiple European markets Comfort working across time zones, cultures, and regulatory environments Familiarity with EMEA data privacy requirements (e.g., GDPR) as they relate to partner integrations and data-sharing arrangements Work Location & Travel Requirements Airship’s ‘Digital First’ approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones. Some roles may require that employees perform their work from a specific location to support business activities, and/or be within proximity to an Airship office location or customer or partner locations, while other roles can be performed 100% remotely. This position is fully remote and may require up to 25% travel based for partner meetings, industry events, and field engagements or as requested by your manager. Compensation Base pay is part of the total compensation package and is determined by a variety of factors such as relevant skills, work experience, business priorities, market demands, and location. This role offers stock options, providing a direct opportunity to share in Airship’s success. Benefits & Perks Medical insurance options for you and your dependents Flexible time off, paid holidays, paid parental leave, and paid volunteer time off Support for your overall wellbeing with employer-subsidized mental health and employee wellness programs A digital-first work environment and a monthly stipend to support remote work Mentorship and growth opportunities to build skills and accelerate professional development And more! We use artificial intelligence tools in our recruitment process as decision-support tools only. Airship's People Operations team reviews all AI-generated scores and recommendations before making any hiring determination. No applicant is rejected solely on the basis of an AI-generated output. Depending on your location, you may have the right to request human review of any AI-assisted employment decision or to opt out of AI evaluation. To make a request or learn more about how we use AI in hiring, contact privacy@airship.com or visit airship.com/legal . View our EU and UK Candidate Privacy Notice here . ** Please Note: To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”. Hiring Commitment Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable. By submitting this application, I affirm that the facts set forth in it are true and complete to the best of my knowledge. I understand that if I am employed, false statements, omissions, or misleading information given in my application, interview(s), or in a background check may result in dismissal.