Senior Software Engineer, Composer AI Product

Klaviyo Klaviyo · Enterprise · Boston, MA · Engineering

Senior Software Engineer on the Composer AI Product team, responsible for building the foundation of an in-app, AI-powered conversational experience for marketing strategy planning, creation, and iteration. This includes owning the native chat surface, agent orchestrator, and agentic UI framework, contributing to Klaviyo's Autonomous Marketing platform which uses LLM-powered agents to analyze, create, and optimize marketing programs. The role involves tackling complex technical and product challenges, developing solution paths, evaluating trade-offs, and acting as a technical leader and mentor, driving engineering quality, execution, and decision-making. Success is measured by shipping high-quality systems quickly, contributing to foundational platform decisions, improving agent intelligence and reliability, and defining the evolution of AI-powered customer engagement.

What you'd actually do

  1. own the native chat surface, the agent orchestrator, and the agentic UI framework that other teams across Klaviyo will plug into.
  2. 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.
  3. tackle complex technical and product challenges, develop multiple solution paths, and evaluate business and architectural trade-offs to determine the best approach.
  4. act as a technical leader and mentor, driving engineering quality, execution, and decision-making across projects.
  5. deploying well-designed, thoroughly tested solutions that prioritize reliability, scalability, and customer impact.

Skills

Required

  • 7+ years of experience in a software engineering role
  • Strong experience developing end-to-end software solutions or extensive experience across both front-end and back-end technologies
  • Experience building scalable, customer-facing systems in fast-moving product environments
  • Experience leading projects and being accountable for technical and business outcomes
  • Experience mentoring team members or driving initiatives that help the team grow and learn new skills
  • Experience conducting code reviews and maintaining a robust testing and deployment cycle
  • Curiosity and enthusiasm for AI-native product development, including practical experience experimenting with LLMs, AI tooling, or agentic workflows in professional or personal projects
  • Excitement about leveraging AI to improve engineering velocity, customer experiences, and operational workflows
  • A strong product mindset and willingness to collaborate cross-functionally to solve ambiguous problems with urgency and pragmatism

Nice to have

  • Skills with Python and related technologies
  • Skills with React and related technologies
  • Experience building conversational AI systems, workflow engines, or agentic platforms
  • Experience with retrieval systems, embeddings, eval frameworks, or LLM orchestration patterns
  • Experience building cloud-native solutions, ideally with AWS
  • Experience developing customer support, commerce, marketing, or customer data software solutions
  • Experience with machine learning systems or AI infrastructure
  • Experience building multi-tenant or highly configurable SaaS platforms
  • Familiarity with observability, tracing, experimentation, or AI quality/evaluation tooling

What the JD emphasized

  • building the foundation for how Klaviyo customers plan, create, edit, and iterate on their marketing strategy through an in‑app, AI‑powered conversational experience
  • own the native chat surface, the agent orchestrator, and the agentic UI framework
  • define and build Klaviyo’s Autonomous Marketing platform: an ecosystem of LLM‑powered agents that can analyze, create, and optimize marketing programs
  • shipping high-quality systems quickly
  • contributing to foundational platform decisions
  • improving the intelligence and reliability of our agent experiences
  • helping define how AI-powered customer engagement evolves at Klaviyo

Other signals

  • building the foundation for how Klaviyo customers plan, create, edit, and iterate on their marketing strategy through an in‑app, AI‑powered conversational experience
  • own the native chat surface, the agent orchestrator, and the agentic UI framework
  • define and build Klaviyo’s Autonomous Marketing platform: an ecosystem of LLM‑powered agents that can analyze, create, and optimize marketing programs