Location
Boston Hybrid (3 days/week in office)
Overview
As the Engineering Manager for Klaviyo Conversational AI Platform, you will lead a full‑stack 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 and works closely with product managers, designers, and other engineering teams to extend and drive the evolution of the product.
Responsibilities
- Lead a team of engineers delivering full‑stack, 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
Qualifications
- 8+ years of software engineering experience with strong frontend and backend skills
- 5+ years of engineering management experience, ideally managing full‑stack 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 with 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
