Klaviyo

Engineering Manager for ML Platform at Klaviyo, leading a team to build and scale the core platforms, tools, and infrastructure for ML/AI engineers. The role involves hands-on technical leadership, managing engineers, shaping the roadmap, and enabling AI teams to ship models and features faster, more safely, and reliably. Focuses on evolving ML/LLM platform architecture, improving reliability, observability, and cost efficiency of training and inference workloads.

Senior AI Engineer role focused on building and scaling LLM-powered applications and automation tools for internal employee use. Responsibilities include designing LLM integrations, RAG systems, CI/CD pipelines, and observability tooling, with a focus on full-stack development and AI engineering best practices. The role involves evaluating and fine-tuning models, and ensuring security and compliance.

Director of Engineering, AI at Klaviyo, leading teams to implement AI strategy into customer-facing products. Focuses on owning the AI engineering charter, designing the AI platform (LLM-powered and agentic systems), shipping AI-native product experiences, ensuring safety and reliability, and integrating with data/platform stacks. Requires strong leadership, hands-on experience with modern AI/agentic systems, and a product-minded approach to drive AI adoption and impact.

Software Engineer II on the Marketing Agent team at Klaviyo, responsible for building AI-powered systems that autonomously create and execute marketing strategies. The role focuses on backend development of robust and maintainable AI systems, directly impacting customer ROI and driving revenue.

Senior Software Engineer role focused on building the next generation of AI agents for marketing and customer experience automation. The role involves designing and implementing agentic systems that autonomously create, execute, and optimize marketing strategies for businesses, directly impacting customer ROI and driving revenue. It's a backend-focused role with a strong emphasis on robust AI systems, low latency, and high-quality outputs, with opportunities for mentorship and leadership.

Sr. Lead AI Engineer responsible for the technical leadership, architecture, and execution of high-impact AI services and agentic systems within the AI & Analytics organization. This role involves building and hardening AI serving systems, evolving agentic architecture, setting engineering standards, and mentoring other engineers. The focus is on hands-on technical leadership for production generative and agentic AI applications.

Lead AI Engineer responsible for designing, building, and scaling backend systems and agentic capabilities for Marketing and Service AI products. This role involves owning complex services end-to-end, contributing to architecture, and ensuring reliable, scalable production capabilities for generative and agentic AI solutions. The focus is on backend-heavy development, including async processing pipelines, distributed systems, AI serving, and evolving agentic architectures, with a strong emphasis on evaluation and best practices for AI systems.

Sr. Lead AI Engineer responsible for defining and improving the engineering architecture for Service and Marketing AI capabilities, building and hardening AI serving systems, and evolving the agentic architecture. This role involves leading the design of scalable, low-latency backend systems and APIs, developing services that host and orchestrate AI models, and driving the technical roadmap for AI agents. The engineer will also set standards for evaluation, safety, prompt/model versioning, testing, and incident response, and mentor other engineers. The role requires hands-on experience with generative and agentic AI in production, large-scale distributed systems, Python, cloud platforms (AWS, Kubernetes), and a strong focus on evaluation and quality.

Engineering Manager to lead a team building 'Customer Agent', a conversational AI system for brands to interact with customers at scale. The role involves setting technical direction, developing the team, driving architectural decisions, and keeping pace with AI advancements. Requires strong hands-on engineering experience, ability to engage deeply with technical problems, and leadership in building/scaling agentic systems and AI-enabled products.

Senior AI Engineer at Klaviyo, focusing on designing and building scalable backend systems and user experiences for AI products and AI agent solutions. The role involves developing data pipelines, serving AI models, and evolving agentic architecture. Requires strong backend and distributed systems experience, with expertise in generative AI and agentic AI applications.

Lead AI Engineer responsible for designing, building, and scaling backend and ML systems for AI agents that optimize marketing and customer experience strategies. Focuses on predictive systems, autonomous learning agents, and production ML pipelines at a large scale.

This role operates, tunes, and extends an agentic data quality pipeline for GTM data. It involves running and monitoring production pipeline sessions, diagnosing and resolving failures, refining detection rules and prompt logic, evaluating agent accuracy, and managing the handoff between automated output and human review. The goal is to improve pipeline reliability, detection and resolution quality, and data quality outcomes.

This role operates, tunes, and extends an agentic data quality pipeline for GTM data. It involves running and monitoring production pipeline sessions, diagnosing and resolving failures, refining detection rules and prompt logic, evaluating agent accuracy, and managing the handoff between automated output and human review. The goal is to improve pipeline reliability, detection and resolution quality, and data quality outcomes.

This role operates, tunes, and extends an existing agentic data quality pipeline for GTM data. It involves running production pipeline sessions, diagnosing and resolving failures, maintaining orchestration scripts, refining agent logic, evaluating agent accuracy, and managing the handoff between automated output and human review. The role focuses on operating and improving AI systems rather than building them from scratch.

Lead Data Science Analyst role focused on GTM strategy, building predictive models, and developing AI/LLM-powered solutions for customer lifecycle insights. Emphasizes AI-augmented workflows and an LLM-aware approach.

Lead Data Science Analyst role focused on GTM strategy, building predictive models, and developing AI/LLM-powered solutions for customer lifecycle insights. Emphasizes AI-augmented workflows and an LLM-aware approach.

Engineering Manager for Klaviyo's Conversational AI Platform team, responsible for leading a fullstack team to build the UI, orchestrator, and agent platform for an AI-powered conversational marketing experience. The role involves setting technical direction for intent detection, routing, planning, and multi-step LLM workflows, driving architectural decisions, and collaborating with product and design teams.

Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools. This role is at the intersection of applied AI research and full-stack software engineering, owning LLM integration architecture, RAG system design, CI/CD pipeline management, and production observability. The goal is to build AI that real people use at scale every day.

Senior Software Engineer focused on building and operating machine learning-powered backend systems for product recommendations. This role involves designing and implementing data pipelines, ranking models, and inference systems, with a strong emphasis on backend services, distributed systems, and integrating ML into production. The engineer will also drive the development of AI systems like vector search and agentic use cases, and contribute to observability and A/B testing.

Senior Security Engineer role focused on building and maintaining secure, reliable, and scalable detection and response systems. The role involves developing AI-first security systems, automating detection and response, optimizing security logging data for ML models, and responding to security incidents. Requires strong programming skills (Python, Go) and experience with CI/CD and large-scale data pipelines.

Senior Security Engineer role focused on building and maintaining secure, reliable, and scalable detection and response systems. The role involves developing AI-first security systems, automating detection and response, optimizing security logging data for ML models, and responding to security incidents. Requires strong programming skills (Python, Go) and experience with CI/CD and large-scale data pipelines.

Senior Security Engineer role focused on building and maintaining secure, reliable, and scalable detection and response systems. The role involves developing AI-first security systems, automating detection and response, optimizing security logging data for ML models, and responding to security incidents. Requires strong programming skills (Python, Go) and experience with CI/CD and large-scale data pipelines.

Lead AI Software Engineer for the Amplify team, focusing on building internal tools, platforms, and AI-powered automation to improve efficiency and scale for Klaviyo's internal operations across various departments. The role involves technical oversight, driving technical vision, leading complex projects, defining architectural evolution, and mentoring engineers, with a strong emphasis on AI-first development and establishing guardrails.

Manager of Advanced Analytics & Automation to lead strategic analytics programs and AI first automations for the Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action. Operates as a senior technical individual contributor with program-level ownership, combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM.

Manager of Advanced Analytics & Automation to lead strategic analytics programs and AI first automations for the Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action. Operates as a senior technical individual contributor with program-level ownership, combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM.