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Personalization & Recommendation Systems San Francisco, California, United States About Krea At Krea, we are building next-generation AI creative tools. 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We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. 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Building Warrenton, MO - US, Warrenton, MO, United States Crusoe is on a mission to accelerate the abundance of energy and intelligence . 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We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team-from Finance to HR-to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo-all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you. 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WHOOP empowers members to perform at a higher level and live longer by using AI to transform continuous physiological data into clear insights and actionable recommendations. Our AI platform is central to this mission, turning raw physiological signals into trusted, personalized guidance that members can act on every day. WHOOP is hiring a Senior AI/ML Engineer to help scale the intelligence layer behind WHOOP's AI-powered experiences, including WHOOP Coach, AI-powered Support, and new intelligent features across the product. In this role, you will own core components of the AI Platform that power our internal AI Studio: evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tooling. You will partner closely with product and data science to translate real member needs into reliable, impactful AI systems that improve continuously based on real-world usage. At WHOOP, we're on a mission to unlock human performance and healthspan. 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We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world's largest global brands do business? Join us! We are seeking a highly experienced Director of Quality Engineering & AI Testing to lead our global quality organization and establish world-class testing practices for enterprise SaaS and AI-driven products. This leader will be responsible for building quality strategy, scaling test automation, improving release confidence, and driving reliability across platform, AI, and customer-facing solutions. The ideal candidate combines deep expertise in software quality engineering with modern approaches to AI testing, automation, and continuous delivery. This role will partner closely with Engineering, Product Management, Applied AI, Customer Success, and Delivery teams to ensure Netomi delivers highly reliable, scalable, and secure enterprise-grade solutions. 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Behind that trust is a network of systems, tools, and workflows designed to detect and resolve fraud and abuse at scale - and our team builds them. About the Role: We are looking for a Sr. Risk Manager who builds risk assessment and insight frameworks powered by AI. In this role, you will study incoming escalations not to investigate individual cases, but to understand the risk landscape deeply enough to build the models, classification systems, and analytical tools that transform raw escalation signals into structured, actionable intelligence at scale. You will design and deploy AI-driven risk assessment pipelines that automatically categorize incoming escalations, surface emerging abuse patterns, and quantify systemic defects across hundreds of thousands of annual contacts. You will use Amazon's AI and ML infrastructure to build topic models, root cause classifiers, and risk scoring frameworks that give investigators, program teams, and senior leaders the insights they need to act faster and prevent abuse before it scales. You will study investigation workflows to determine where automation replaces manual effort, where model-driven augmentation improves human judgment, and where new data collection mechanisms are needed to close intelligence gaps. This role offers the opportunity to shape how Amazon protects seller and customer trust by building the AI-powered risk intelligence layer that sits underneath every escalation decision our organization makes. 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