Top AI & Machine Learning Jobs

Lead the technical and product direction for Klaviyo’s Customer Agent, building and scaling production conversational AI systems. Design orchestration, evaluation, guardrails, memory, context, and failure-handling capabilities; write and review code; resolve complex production issues; establish reusable engineering patterns; mentor engineers; and partner with product, design, data science, and go-to-market teams. The role requires hands-on ownership of reliable, secure, multi-tenant agentic systems operating against live customer traffic.

Build, train, deploy, and maintain large-scale machine learning models and AI agents for marketing and customer experiences. Develop conversational AI, generative AI, recommendation, retrieval, ranking, and transformer-based systems. Own ML product lifecycles, including success metrics, A/B testing, production operations, and iterative improvement. Collaborate with Engineering, Product, Design, customers, and stakeholders while leading technical projects and mentoring teammates.

Lead the design and build of AI-first People systems, integrating LLMs and enterprise HR SaaS to automate recruiting, onboarding, performance, and other People workflows. Define architecture, standards, responsible-AI practices, and success metrics while partnering cross-functionally to enable copilots, agents, and reusable automation frameworks for People teams.

Lead architecture, design, and delivery of Klaviyo's Customer Agent conversational AI platform. Drive technical strategy, build scalable AI-enabled features, establish observability and reliability practices, mentor engineers, and coordinate cross-functional initiatives to deliver production agentic systems for millions of users.

Lead architecture, design, and implementation of a scalable conversational AI platform (Customer Agent). Drive technical strategy for LLM-powered agentic systems, retrieval, orchestration, memory, evaluation, and reliability. Ship AI product features, establish observability/testing/operational best practices, lead cross-functional initiatives, mentor engineers, and evaluate emerging AI technologies to deliver reliable customer-facing experiences.

Own strategy and execution for Klaviyo's Analytics AI product area, principally the Analytics Agent. Define quality measurement, AI-generated analytics UX, and query infrastructure transitions. Partner cross-functionally to ship data-grounded LLM experiences, ensure metric accuracy and platform health, write rigorous product specs, and support multi-brand Enterprise analytics needs.

Build and maintain backend services and large-scale data pipelines for recommendation systems, productionize ML models (batch and real-time), develop vector database capabilities, ensure observability and reliability, lead A/B testing and data-driven decisions, participate in on-call and incident response, and mentor engineers while integrating AI into development workflows.

Design and build end-to-end MarTech and AI architectures that move marketing data from intake to conversion. Own a centralized marketing hub for planning, budgeting, execution, and feedback loops. Implement AI-powered capabilities (generative AI, predictive scoring, intent automation), ensure integrations and data integrity across systems, and partner cross-functionally to improve ROI and shorten planning cycles.

Build and scale Klaviyo's AI-native Customer Agent platform across frontend and backend. Design conversational experiences, retrieval and orchestration systems, integrations, observability, and deployment. Drive architecture, mentor engineers, ensure reliability, and ship high-quality, scalable AI-driven customer engagement features.

Lead architecture and implementation of Klaviyo's Customer Agent platform: design scalable agentic/LLM systems, drive technical strategy, ship AI-powered features, ensure reliability and observability, mentor engineers, and partner cross-functionally to deliver conversational AI at scale.