Senior Engineering Manager - Customer Agent

Klaviyo Klaviyo · Enterprise · Boston, MA · Engineering

Senior Engineering Manager to lead a team building 'Customer Agent', a conversational AI system for brands to interact with customers at scale. The role involves shaping the future of this AI-powered customer engagement system, setting technical direction, developing the team, driving architectural decisions, and staying current with AI advancements. Requires deep experience in building and scaling agentic systems and AI-enabled products, with a strong hands-on engineering background.

What you'd actually do

  1. Lead and manage a team of managers, leads, plus full-stack and AI engineers and directly manage some workstreams yourself.
  2. Collaborate on project planning, define achievements, identify dependencies, and ensure business goals are met.
  3. Actively participate in interviewing, hiring, and team leveling.
  4. Develop SMART goals and career development plans for direct reports.
  5. Develop and execute technical strategies aligned with Klaviyo's business goals, ensuring exceptional products and a reliable, user-friendly AI systems roadmap.

Skills

Required

  • 10+ years of experience in software engineering
  • extensive work building AI-driven product features in a full-stack capacity
  • leading teams who have built scaled systems
  • 5+ years of engineering management experience, including managing managers or multiple teams
  • Exceptional communication skills
  • In-depth understanding of common engineering architectures for highly scalable systems
  • Proven ability to lead and deliver complex, multi-quarter projects involving at least two teams.
  • Comfortable conducting performance reviews and mentoring team members at all levels.

Nice to have

  • recovering entrepreneurs

What the JD emphasized

  • building and scaling agentic systems
  • AI-enabled products
  • conversational AI
  • AI-driven product features
  • AI-driven technical roadmaps

Other signals

  • leading team building conversational AI system
  • building and scaling agentic systems and AI-enabled products
  • applying machine learning models and LLM-based APIs to create adaptive and personalized conversational agents