Engineering Manager, Customer Agent

Rozgoo; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Klaviyo is seeking an Engineering Manager for Customer Agent in Boston to lead a team building a scalable, AI-native conversational system that interfaces with brands at scale. You will shape strategy, architecture, and roadmap, while mentoring engineers who build AI-driven features and integrate ML models into production services.

This leadership role balances hands-on engineering with people management, guiding cross-functional collaboration with product, data science, and GTM teams to deliver

Qualifications

• Experience building AI-driven product features in a full-stack capacity and leading teams who have built scaled systems.
• 5+ years of experience in software engineering, 2+ years of experience managing engineering teams, including remote members and lead engineers.
• Exceptional communication skills, capable of collaborating with diverse stakeholders to translate business/product roadmaps into AI-driven technical roadmaps.

Responsibilities

• Lead and manage a team of full-stack and AI engineers and directly manage some workstreams yourself.
• Collaborate on project planning, define achievements, identify dependencies, and ensure business goals are met.
• Actively participate in interviewing, hiring, and team leveling.
• Develop SMART goals and career development plans for direct reports.
• Develop and execute technical strategies aligned with Klaviyo's business goals, ensuring exceptional products and a reliable, user-friendly AI systems roadmap.
• Engage with internal and external stakeholders to understand needs, resolve blockers, manage expectations, and translate customer needs into valuable AI-driven roadmaps and solutions.
• Advise the team on modeling, system design, experimental design, and implementation decisions.
• Improve engineering-wide processes such as recruiting, performance development, communication, and agile development.
• Stay current with emerging AI trends and technologies, identifying and leveraging opportunities within Klaviyo's ecosystem.

Skills

AI-driven features

Team leadership

Full-stack engineering

Communication

Job description

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.

Engineering Manager, Customer Agent

Are you looking for one of the most impactful AI-native leadership roles in Boston? Join us at Klaviyo and lead the team building Customer Agent, a conversational AI system that enables brands to interact with their customers at a scale they have never achieved before.

Customer Agent is central to Klaviyo's vision for AI-powered customer engagement. It delivers real-time, contextually aware conversations that help brands support, convert, and retain millions of consumers. We are just beginning to unlock what is possible, and we are looking for an engineering leader who is eager to define that future.

We are seeking someone with deep experience building and scaling agentic systems and AI-enabled products. You will shape how Customer Agent evolves into a highly extensible and reliable platform. This includes setting technical direction in partnership with your team, developing and growing the team, driving foundational architectural decisions through the team, and keeping pace with rapid advances in the AI ecosystem. Although this is a leadership role, we value candidates with strong hands-on engineering experience who can engage deeply with complex technical problems.

In this role, you will own the team's mission, strategy, and roadmap. You will work closely with leaders across engineering, product, data science, and go-to-market functions to define requirements, set priorities, and measure success. You will guide system design, ensure platform reliability, and deliver features that significantly improve customer conversations and outcomes. You will also lead teams that apply machine learning models and LLM-based APIs to create adaptive and personalized conversational agents.

This position is ideal for a leader who wants to shape the next generation of conversational AI and redefine how brands and customers interact at global scale.

How You Will Make a Difference:

• Lead and manage a team of full-stack and AI engineers and directly manage some workstreams yourself.
• Collaborate on project planning, define achievements, identify dependencies, and ensure business goals are met.
• Actively participate in interviewing, hiring, and team leveling.
• Develop SMART goals and career development plans for direct reports.
• Develop and execute technical strategies aligned with Klaviyo's business goals, ensuring exceptional products and a reliable, user-friendly AI systems roadmap.
• Engage with internal and external stakeholders to understand needs, resolve blockers, manage expectations, and translate customer needs into valuable AI-driven roadmaps and solutions.
• Advise the team on modeling, system design, experimental design, and implementation decisions.
• Improve engineering-wide processes such as recruiting, performance development, communication, and agile development.
• Stay current with emerging AI trends and technologies, identifying and leveraging opportunities within Klaviyo's ecosystem.

Who You Are:

• Experience building AI-driven product features in a full-stack capacity and leading teams who have built scaled systems.
• 5+ years of experience in software engineering, 2+ years of experience managing engineering teams, including remote members and lead engineers.
• Exceptional communication skills, capable of collaborating with diverse stakeholders to translate business/product roadmaps into AI-driven technical roadmaps