Engineering Manager, Profile Traits

Klaviyo•Boston, MA

1d•Hybrid

About The Position

At Klaviyo, we empower creators and businesses to own their customer relationships. Our platform processes billions of events and powers real-time personalization, automation, and analytics for thousands of customers. At the core of this platform is our data infrastructure — the systems that ingest, store, transform, and serve customer data at scale. The Profile Traits team owns how customer profile data is represented, stored, mutated, and served across Klaviyo. Profile traits are one of the most critical primitives in the platform: they power segmentation, personalization, flows, analytics, and emerging AI-driven features. As Engineering Manager, Profile Traits, you will lead a team of engineers responsible for building and scaling these foundational systems. This role sits at the intersection of distributed systems, data modeling, and product semantics, with a strong emphasis on correctness, performance, and long-term platform evolution. You will partner closely with product managers and adjacent platform teams (Events, Identity & Consent, Segmentation, Flows) to ensure profile data remains reliable, fast, and easy to reason about as Klaviyo continues to grow.

Requirements

8–10+ years of software engineering experience
3+ years of engineering management experience
Experience owning and evolving stateful or data-intensive systems at scale
Strong understanding of distributed systems tradeoffs
Proven ability to coach and develop senior engineers
Experience partnering with Product on ambiguous, platform-oriented problems

Nice To Haves

Experience with high-QPS OLTP systems
Background in data consistency, data modeling, or schema evolution
Experience supporting both online and analytical workloads
Familiarity with cloud-native systems (AWS preferred)

Responsibilities

Lead, mentor, and grow a team of engineers building Klaviyo’s profile traits platform
Own systems responsible for profile attribute storage, mutation, and serving
Drive technical and execution excellence across correctness, latency, and cost
Partner with product and platform teams to define roadmaps and priorities
Guide architectural decisions around schema evolution, consistency, and scale
Participate in design and code reviews to maintain a high technical bar
Foster a culture of ownership, collaboration, and continuous improvement