Engineering Manager, Customer Agent
Klaviyo - Boston, MA
Posted Dec 4, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Engineering Manager, Customer Agent Boston, MA 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.
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