Engineering Manager - Conversational AI Platform

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Location: Boston Hybrid (3 days/week in office) Why You Should Join the Team The Klaviyo Conversational AI Platform team is building the foundation for how Klaviyo customers plan, create, edit, and iterate on their marketing strategy through an in‑app, AI‑powered conversational experience. We own the native chat surface, the agent orchestrator, and the agentic UI framework that other teams across Klaviyo will plug into. By joining the Klaviyo Conversational AI Platform team, you will have the opportunity to have a direct impact on over 170,000 brands that use Klaviyo every day to engage with their customers. You’ll also help define and build Klaviyo’s Autonomous Marketing platform: an ecosystem of LLM‑powered agents that can analyze, create, and optimize marketing programs across campaigns, flows, forms, and more. As the Engineering Manager for Klaviyo Conversational AI Platform, you will lead a fullstack team that owns the main Conversational AI Platform UI while designing the core intent-routing orchestrator and shared agent platform that other teams use to plug in. This role requires excellent communication and collaboration skills. You will work closely with product managers, product designers, and many other engineering teams to extend and drive evolution of the product. How You Will Make a Difference Lead a team of engineers delivering fullstack, customer-facing features used across Klaviyo’s Conversational AI Platform product offering Set the technical direction for the orchestrator that handles intent detection, routing, planning, and multi‑step LLM workflows across many expert agents. Own end-to-end execution: scope initiatives, break down work, align dependencies, and deliver high-quality releases on predictable timelines Drive architectural decisions that prioritize scalability, reliability, and maintainability across services, data models, and shared component systems Partner closely with Product and Design to translate vision into intuitive, performant user experiences Drive cross-team collaboration with Engineering to ensure the smooth integration of AI agents across teams. Grow and mentor engineers, fostering a high-performance and inclusive team culture Collaborate across Klaviyo to align roadmaps and ship cohesive, customer-delighting solutions Contribute hands-on via design docs, code reviews, and technical spikes to de-risk complex bets and model engineering excellence Who You Are 8+ years of software engineering experience with strong frontend and backend skills 5+ years of engineering management experience, ideally managing fullstack teams. Familiarity with frontend technologies like React, TypeScript, and state management tools such as Redux Comfortable contributing to backend systems using Python and Django, FastAPI (or equivalent) Skilled in system design, reusable component architecture, and scalable frontend platforms Familiarity DevOps tooling, cloud infrastructure (AWS), Terraform, etc. Proven track record delivering complex features in fast-paced, product-led environments Clear communicator, collaborative leader, and committed to continuous team improvement Experience designing or leading systems that use LLMs, tools, or agent‑like workflows Technologies We Use React, TypeScript, Redux Python, Django, FastAPI, Langchain MySQL, Redis, RabbitMQ, Pulsar, GraphQL, RESTful APIs AWS, Terraform, Kubernetes We use Covey as part of our hiring and / or pro ... (truncated, view full listing at source)