Engineering Manager, ML Platform
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.
What this role actually needs.
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. Responsibilities: - Lead, coach, and grow a team of software / ML platform engineers (typically 6–10+ direct reports). - Set clear goals, provide regular feedback, and support career development aligned with Klaviyo’s Engineering Career Architecture. - Stay hands-on with the technology: participate in design reviews, code reviews, and occasionally ship code for critical paths or prototypes. - Partner with product and technical leaders to define and evolve the ML Platform strategy and roadmap, balancing short-term delivery with long-term platform investments. - 7+ years of experience as a software engineer, ML platform engineer, or similar, building backend or distributed systems. - 2+ years of experience in a formal people leadership role Requirements: - Enable AI / ML teams across Klaviyo to ship new models and ML-powered features faster, more safely, and more reliably. - Evolve our ML and LLM platform architecture so teams can build, evaluate, and operate production ML systems with consistent patterns and best practices. - Improve reliability, observability, and cost efficiency of ML training, inference, and other ML workloads that serve features like smart send time, audience optimization and product recommendations. - Raise the bar on engineering and operational excellence for systems that support 167K+ customers and billions of events. - Build and grow a high-performing, inclusive engineering team that operates with ownership, curiosity, and strong customer focus. - Lead, coach, and grow a team of software / ML platform engineers (typically 6–10+ direct reports). Company context: Klaviyo is the public marketing automation and CDP company powering email, SMS, and AI personalization for ecommerce.
Day-to-day expectations
Klaviyo lists these responsibilities for the Engineering Manager, ML Platform role.
- Lead, coach, and grow a team of software / ML platform engineers (typically 6–10+ direct reports).
- Set clear goals, provide regular feedback, and support career development aligned with Klaviyo’s Engineering Career Architecture.
- Stay hands-on with the technology: participate in design reviews, code reviews, and occasionally ship code for critical paths or prototypes.
- Partner with product and technical leaders to define and evolve the ML Platform strategy and roadmap, balancing short-term delivery with long-term platform investments.
- 7+ years of experience as a software engineer, ML platform engineer, or similar, building backend or distributed systems.
- 2+ years of experience in a formal people leadership role
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Enable AI / ML teams across Klaviyo to ship new models and ML-powered features faster, more safely, and more reliably.
- Evolve our ML and LLM platform architecture so teams can build, evaluate, and operate production ML systems with consistent patterns and best practices.
- Improve reliability, observability, and cost efficiency of ML training, inference, and other ML workloads that serve features like smart send time, audience optimization and product recommendations.
- Raise the bar on engineering and operational excellence for systems that support 167K+ customers and billions of events.
- Build and grow a high-performing, inclusive engineering team that operates with ownership, curiosity, and strong customer focus.
- Lead, coach, and grow a team of software / ML platform engineers (typically 6–10+ direct reports).
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On-site roles in Boston should be compared against commute, local salary bands, and nearby employer demand.
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Source: klaviyo.com · Source ID: 7711219003 · Confidence: 88/100 · Last checked: May 7, 2026
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