Whatnot

Software Engineer, Machine Learning Infrastructure at Whatnot, focusing on scaling AI and ML infrastructure for large language models and other ML applications. Responsibilities include owning AI/ML infrastructure, prototyping and productionizing ML architectures, designing and scaling inference infrastructure for low-latency and high-throughput serving, and building distributed training and inference pipelines.

Software Engineer, Machine Learning Infrastructure at Whatnot, focusing on building and scaling the core infrastructure for AI and ML models, including low-latency large model serving and distributed training/inference pipelines.

Machine Learning Platform Engineer at Whatnot, focusing on building and scaling the core infrastructure for AI and ML models, including LLM applications, low-latency serving, distributed training, and GPU inference.

Seeking an LLM Platform Engineer to design and scale the core infrastructure for large language model applications at Whatnot. This role involves building systems for retrieval, grounding LLM responses, developing evaluation frameworks, and implementing feedback pipelines to bring AI into production for various business surfaces like growth, recommendations, trust and safety, and fraud.

Lead the development and scaling of core ML infrastructure, including low-latency model serving, streaming feature ingestion, distributed training, and high-throughput GPU inference, to power AI/ML applications at consumer scale. This role involves hands-on coding, architectural guidance, and empowering ML scientists.

Seeking an LLM Platform Engineer to build and scale the core infrastructure for large language model applications at Whatnot. This role involves designing and deploying RAG systems, developing LLM evaluation frameworks, and creating human-in-the-loop feedback pipelines to integrate AI into critical business functions like growth, recommendations, trust and safety, and fraud.

Seeking an ML Infrastructure Engineer to design and scale core infrastructure for ML and LLM applications, focusing on low-latency serving, distributed training, and high-throughput GPU inference to productionize cutting-edge models.

Machine Learning Engineer focused on fraud detection and prevention for a livestream shopping platform. The role involves designing, training, and deploying ML models (traditional and LLM-powered), building intelligent user graphs, developing data pipelines and real-time inference systems, conducting data analysis, and implementing model monitoring. Collaboration with cross-functional teams and staying ahead of emerging fraud tactics are key.

Senior Engineering Manager, ML Platform at Whatnot, a livestream shopping platform. This role focuses on leading the development and scaling of core infrastructure for machine learning and self-hosted LLM applications. Responsibilities include building low-latency model serving, streaming feature ingestion, distributed training, and high-throughput GPU inference systems. The role requires strong technical depth, hands-on coding, and managing production ML systems at consumer scale.

Machine Learning Engineer focused on driving top-of-funnel growth and first-time buyer success for a livestream shopping platform. This role will build and own ML models for personalization in onboarding and user targeting, impacting buyer growth and first-time user conversion.

Machine Learning Engineer focused on driving top-of-funnel growth and first-time buyer success for a livestream shopping platform. This role will build and own ML models for personalization in onboarding and user targeting, impacting buyer growth and first-time user conversion.

Software Engineer focused on building AI development tools and infrastructure to enhance engineering productivity and enable autonomous agent capabilities within the company's codebase and processes. This role involves designing sandboxed environments, orchestration systems, and AI-aware infrastructure, acting as a primary interface between the Developer Tools team and the AI Tooling Working Group.

Software Engineer to build and own AI tooling for the engineering organization, focusing on AI coding agents and assistants. This role involves building infrastructure, workflows, and orchestration systems for AI agents to operate within the company's codebase and processes, enabling both engineers and non-engineers to leverage AI tools effectively. The role requires strong software engineering skills and familiarity with current AI development tools.

This role focuses on building and scaling the feature ingestion and storage infrastructure that powers both core business logic and ML applications at Whatnot. The engineer will work with ML scientists to leverage near-real-time signals for critical business surfaces like growth, recommendations, trust and safety, and fraud. Key responsibilities include designing and evolving real-time feature pipelines for online and offline stores, optimizing system performance, and empowering scientists with abstractions and tools for near-real-time features. The role requires experience with production ML systems, software engineering for consumer-scale loads, Python, and various databases and cloud platforms.

Machine Learning Engineer role focused on building and deploying ML models for personalized navigation, search, and recommendations on a livestream shopping platform. The role involves end-to-end ML project lifecycle, from data to production, and requires experience in applied ML fields like search and recommendations.

Machine Learning Engineer focused on designing, training, and deploying ML models and systems for fraud detection and prevention in a high-volume marketplace. This includes building user graphs, real-time inference systems, and monitoring, with a strong emphasis on end-to-end ownership and integrating ML into fraud orchestration.

Machine Learning Engineer on the Discovery Content and Navigation team, focusing on building and deploying ML models for personalized navigation, search, and recommendations in a high-growth consumer marketplace. The role involves end-to-end project ownership, from data collection to production deployment and experimentation, with a strong emphasis on applied ML methods for consumer-scale data.

Software Engineer role focused on building and scaling the Discovery Platform, including recommendation systems, feed, browse, and search functionalities. This involves integrating retrieval, machine learning ranking, real-time processing, and content understanding to create a personalized discovery experience for a live shopping marketplace.

Software Engineer role focused on building and deploying ML-driven systems for fraud detection, prevention, and intervention in a real-time, high-volume marketplace. Responsibilities include developing intelligent user graphs, training and deploying traditional ML and LLM models, creating scalable data pipelines, and implementing human-in-the-loop systems to adapt to evolving fraud tactics.

Software Engineer for Whatnot's Trust & Risk team, focusing on building and iterating on production algorithms and infrastructures to mitigate systemic risks, safeguard users, and prevent abuse. The role involves designing event-driven pipelines for real-time threat response, balancing risk with user experience, and collaborating across teams to continuously evolve defenses against emerging abuse patterns. Experience with machine learning, behavioral analysis, and data warehouses is preferred.

Software Engineer role focused on building systems for trust, risk, fraud, and integrity within a consumer marketplace. The role involves designing and developing production algorithms and infrastructures to mitigate systemic risks, protect users, and prevent abuse. It requires experience in event-driven pipelines, detection frameworks, and a data-driven mindset, with a preference for experience in Trust and Risk or Fraud domains. Explicit data science or machine learning experience is a plus.

Software Engineer role focused on building and deploying ML-driven systems for fraud detection, prevention, and intervention in a livestream shopping marketplace. Responsibilities include developing intelligent user graphs, training and deploying traditional ML and LLM models, creating scalable data pipelines, real-time inference systems, and human-in-the-loop systems for continuous refinement. The role emphasizes analyzing behavioral and adversarial data to identify emerging fraud trends and evolving systems to combat them.

Manager, Data Science to lead a team working on core marketplace problems, owning measurement, experimentation, and analytical strategy across growth, discovery, and ecosystem questions to drive GMV. This is a hands-on leadership role managing and developing data scientists while staying close to the work, shaping methodology, and raising quality bar. The role supports buyer or seller domains and involves driving analytical strategy for product and business investments, supporting work on discovery, personalization, matching, and monetization, and improving data usage through scalable frameworks and self-serve analytics. The team will adopt modern tooling, including AI-enabled workflows.

Manager, Data Science to lead a team working on core marketplace problems, owning measurement, experimentation, and analytical strategy across growth, discovery, and ecosystem questions to drive GMV. This is a hands-on leadership role managing and developing data scientists while staying close to the work, shaping methodology, and raising quality bar. The role supports buyer or seller domains and involves driving analytical strategy for product and business investments, supporting work on discovery, personalization, matching, and monetization, and improving data usage through scalable frameworks and self-serve analytics. The team will adopt modern tooling, including AI-enabled workflows.

Fullstack Engineer for Whatnot's Trust and Risk team, focusing on building systems for policy enforcement, dispute resolution, and intelligent detection/prevention of abuse using ML and behavioral analysis. The role involves developing features to ensure a safe and trustworthy marketplace.

Fullstack Engineer role focused on seller growth, involving building systems for fraud detection, identity verification, seller enrichment pipelines, and A/B testing. The role also involves creating scalable data pipelines and growth systems. While not directly building core AI models, the role leverages and builds systems that incorporate predictive models and signals for seller routing and risk assessment, indicating an AI-adjacent function within a consumer marketplace.

Software Engineer, Data at Whatnot, responsible for the retrieval platform powering next-gen systems. Focuses on defining technical direction, leading development, and ensuring scalability and performance. Integrates data systems, optimizing machine learning, real-time analytics, stream processing, and content understanding.

This role focuses on establishing a data storytelling foundation for Whatnot, using platform insights, AI tooling, and trend analysis to shape culture, earn media coverage, and define the live shopping category. The Senior Manager will own the development of consumer research and trend reports, partner with data and product teams, and serve as the primary spokesperson for insights and trends.

Software Engineer, Horizontal Ops at Whatnot, a livestream shopping platform. The role involves building internal operations tooling, including a workflow engine for intelligent, automated resolutions and AI-powered automations to help ops teams work faster and more reliably. Focus on backend systems, scaling infrastructure, and translating business problems into technical solutions.

Software Engineer, CX at Whatnot, a livestream shopping platform. This role focuses on building a world-class Customer Support platform, including user-facing experiences, scaling internal infrastructure, and designing intelligent AI-powered automations to handle a high volume of customer issues. The engineer will lead solutions end-to-end, translating business problems into technical solutions and driving delivery.

Software Engineer, CX at Whatnot, a livestream shopping platform. This role focuses on building a world-class Customer Support platform, including user-facing experiences, scaling internal infrastructure, and designing AI-powered automations to handle customer issues. The engineer will lead solutions end-to-end, translating business problems into technical solutions and driving delivery.

Software Engineer, Horizontal Ops at Whatnot, focusing on building internal operations tooling and AI-powered automations for customer support and trust & safety workflows. The role involves developing a workflow engine for intelligent, automated resolutions at scale.

This role focuses on establishing a data storytelling foundation for Whatnot, using platform insights, AI tooling, and trend analysis to shape culture, earn media coverage, and define the live shopping category. The Senior Manager will own the development of consumer research and trend reports, partner with data and product teams, and serve as the primary spokesperson for insights and trends.

Data Scientist focused on risk and fraud detection for a livestream shopping platform. The role involves translating data into actionable recommendations, defining KPIs, analyzing existing methods, partnering with ML engineers to develop anti-fraud practices, designing and evaluating experiments, developing causal inference frameworks, building data products, and collaborating cross-functionally to shape fraud strategy. Requires advanced SQL, Python/R, A/B testing, and causal inference experience.

Software Engineer, Logistics Platform at Whatnot. This role focuses on building and improving backend systems, APIs, and internal platform interfaces for logistics workflows. Responsibilities include data quality, shipment state normalization, observability, and operational debugging. The role emphasizes product-minded platform work with external impact on buyer/seller experience and operational efficiency. The engineer will partner with various teams to solve real-world logistics problems and improve data correctness and timeliness. A thoughtful approach to AI usage in engineering is encouraged.

This role focuses on building and scaling the feature ingestion and storage infrastructure that powers both core business logic and ML applications. The engineer will work on real-time feature pipelines, optimize system performance, and empower ML scientists to iterate faster by building abstractions and tools. The goal is to enable faster ML model responses to marketplace dynamics and scale AI across the ecosystem.

This role is for a Head of European and UK Policy at Whatnot, a livestream shopping platform. The individual will shape and evolve global policies and frameworks across trust and safety, marketplace integrity, and commerce, with a focus on Europe. Responsibilities include authoring policies, leveraging data for risk identification, applying a European lens to global policy, and resolving escalated policy questions. The role requires strong policy judgment, experience in ambiguous environments, and fluency in modern AI tools like LLMs for policy development and analysis.

Data Scientist focused on risk and fraud detection for a livestream shopping platform. The role involves translating data into actionable recommendations, defining KPIs, analyzing existing methods, partnering with ML engineers to develop anti-fraud practices, designing and evaluating experiments, developing causal inference frameworks, building data products, and collaborating cross-functionally to shape fraud strategy. Requires advanced SQL, Python/R, A/B testing, and causal inference experience.

This role focuses on managing and growing relationships with Whatnot sellers, using AI tools and data-driven insights to improve their performance and scale their businesses on the platform. The role involves strategic partnership management, category strategy, and go-to-market execution, with a strong emphasis on operational efficiency and data analysis.

Lead Backend Engineer for the Customer Experience Platform team, responsible for building a world-class Customer Support platform. This includes developing user-facing experiences, scaling infrastructure, and designing intelligent AI-powered automations to handle high volumes of customer issues. The role involves end-to-end solution ownership, translating business problems into technical solutions, and driving delivery and experimentation.

Software Engineer on the Seller Growth Platform pod responsible for designing and building systems that sit at the heart of the new seller funnel. This includes developing and scaling systems for identity verification, fraud detection, and automated trust/risk reviews, as well as powering accurate seller identification through enrichment data, signals, and predictive LTV models. The role also involves creating scalable infrastructure like reusable trust and reputation systems and modular fraud prevention frameworks, and driving long-term seller success by enabling better bucketing of sellers by value and risk profile.

Software Engineer for the Search team at Whatnot, responsible for building the best search experience for users to find relevant content (streams, products, community). Focuses on taxonomy, search/filters, retrieval/ranking algorithms, and content understanding, using data-informed decisions and shipping quickly. Experience in applied statistical and machine learning fields like Search, Recommendations, Fraud, and Experimentation is required.

Software Engineer for Whatnot's Discovery Feed & Personalization team, focusing on building and scaling backend systems for recommendation and exploration features. The role involves shipping product features, maintaining low-latency feed experiences, enabling exploration systems for sellers, and partnering with ML teams. Requires experience in discovery-related fields and building scalable backend systems.

This role focuses on managing and scaling relationships with Whatnot sellers, using AI tools and data-driven insights to improve their performance and business growth on the platform. It involves partnership management, category strategy, and go-to-market execution, with a strong emphasis on operational efficiency and data analysis.

Product Data Scientist role at Whatnot, a fast-growing livestream shopping platform. The role focuses on driving insights, experimentation, and decision-making to shape product strategy and user experience. Responsibilities include defining KPIs, analyzing user behavior, designing and evaluating A/B tests, building dashboards and data tools, and collaborating with cross-functional teams. Requires strong SQL, Python/R, A/B testing, and causal inference skills.

This role is for a People Operations Partner at Whatnot, a livestream shopping platform. The focus is on building and scaling HR infrastructure, including compliance, auditing, reporting, payroll, and core HR operations. The ideal candidate will have experience in People Ops or HR operations, be a Workday expert, and enjoy process improvement and project management in a fast-growing environment.

This role is focused on building scalable, compliant, and data-driven People Operations infrastructure, with a strong emphasis on accuracy, audit readiness, and operational excellence. The People Operations Partner will strengthen People infrastructure across compliance, auditing, reporting, and core HR operations like payroll and time & attendance, partnering cross-functionally to deliver accurate, scalable, and efficient operations across the employee lifecycle.

Marketing Manager responsible for driving hyper-growth and helping sellers grow their businesses fast by developing and executing marketing plans centered around generating demand from new and existing buyers. This role will own buyer acquisition across a priority category, devise campaigns and events, manage influencers, and partner with other marketers.

Marketing Manager responsible for driving hyper-growth and helping sellers grow their businesses fast by developing and executing marketing plans centered around generating demand from new and existing buyers. This role will own buyer acquisition across a priority category, devise campaigns and events, manage influencers, and partner with other marketers.

This role is on the Revenue Operations team, supporting Sales and Post Sales teams in growing the seller base and partnerships. Responsibilities include working with the data team on reporting and analysis, taking on strategic operational projects, developing playbooks, supporting GTM leaders with data and insights, and analyzing the competitive landscape and market trends to inform GTM strategy. The role requires strong analytical skills, SQL and Excel proficiency, and experience supporting post-sales motions in a high-growth startup.