Engineering Manager, ML Platform
As an Engineering Manager for the Machine Learning (ML) Platform at Klaviyo, you will lead a team dedicated to building and maintaining the core platforms, tools, and infrastructure that ML and AI engineers rely on to develop advanced agents and models powering Klaviyo’s products. Your team will be responsible for platforms that train and deploy models, ensuring they operate reliably at Klaviyo’s data and traffic scale. This role is hybrid and based in Boston.
In this position, you will enable AI and ML teams across Klaviyo to ship new models and ML-powered features more efficiently and reliably. You will evolve the ML and Large Language Model (LLM) platform architecture, allowing teams to build, evaluate, and operate production ML systems with consistent patterns and best practices. Additionally, you will improve the reliability, observability, and cost efficiency of ML training, inference, and other ML workloads that support features like smart send time, audience optimization, and product recommendations. Building and growing a high-performing, inclusive engineering team that operates with ownership, curiosity, and strong customer focus is also a key responsibility.
The ideal candidate will have at least 7 years of experience as a software engineer, ML platform engineer, or similar role, focusing on building backend or distributed systems. A minimum of 2 years in a formal people leadership role is required. Demonstrated experience in launching and operating AI/ML systems in production at scale is essential. Strong proficiency in Python or a similar backend language such as Go, Java, or Scala is necessary. Experience with cloud infrastructure and platform fundamentals, particularly AWS and Kubernetes, is expected. Familiarity with data-intensive systems, including streaming or batch processing, data modeling, and designing systems with large-scale data in mind, is also important. Comfort in collaborating with cross-functional technical partners and strong communication skills are crucial for driving clarity and alignment across teams.
Klaviyo offers a competitive base salary ranging from $176,000 to $264,000 USD, depending on factors such as job-related skills, relevant experience, education or training, and work location. In addition to base salary, the total compensation package may include participation in the company’s annual cash bonus plan, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Joining Klaviyo means becoming part of a company that empowers creators to own their destiny by making first-party data accessible and actionable. With over 167,000 customers and billions of consumer profiles, Klaviyo is at the forefront of building state-of-the-art AI and machine learning technologies to power marketing agents, service agents, and personalization products. This role offers the opportunity to work in a dynamic environment where innovation and customer focus are highly valued.