At Swap, we are revolutionizing the landscape of modern agentic commerce through our innovative AI-native platform. Our technology seamlessly integrates backend operations with an advanced storefront experience, empowering brands to sell anything, anywhere.Designed for forward-thinking brands, Swap centralizes global operations, enhances intelligent workflows, and enables margin-protecting decisions utilizing real-time data. Our comprehensive product suite encompasses cross-border logistics, tax management, returns processing, demand planning, and our pioneering agentic storefront, ensuring merchants have full transparency and the confidence to act decisively.We are committed to fostering a culture that prioritizes clarity, creativity, and shared ownership as we redefine the dynamics of global commerce.About the RoleWe are seeking an extraordinary individual who transcends traditional data science. Our ideal candidate embodies: • A blend of human intuition and machine intelligence. • The ability to run parallel code paths and deploy agents to explore solutions autonomously.Join our Agentic squad, collaborating with five other AI and data science experts to refine, scale, and innovate the intelligence layer that powers our agentic storefront. This senior-level, high-agency generalist role is for someone who can navigate models, agents, experiments, and product decisions with agility and speed in a startup setting.Key ResponsibilitiesWork in tandem with Product, Engineering, and the Agentic team to enhance AI-driven features throughout the entire commerce journey.Design and refine recommendation and personalization systems leveraging behavioral and transactional data.Advance conversational agents, multi-agent workflows, and tool integrations.Iterate on virtual try-on and vision systems using prompt engineering, fine-tuning, and model chaining.Rapidly prototype new AI functionalities and transition them into production-grade systems.Establish and enhance experimentation frameworks, including A/B testing, evaluation pipelines, and benchmarking.Drive improvements in conversion, retention, and operational efficiency through applied machine learning.Identify automation opportunities and design agent-driven internal tools.
Mar 2, 2026