Top Engineering Jobs

The Lead People Systems Engineer will design AI-first People workflows, build scalable AI systems, and ensure responsible AI practices in HR operations.

As a Senior Software Engineer, you'll design and build scalable systems for customer data management, ensuring seamless user experiences and mentoring team members.

Design and implement user-facing product and onboarding improvements, run and analyze A/B tests, collaborate cross-functionally, improve experimentation and development processes, mentor engineers, and define safe, performant AI agent goals. Hybrid role based in Boston (≥3 days/week).

Lead design and delivery of Klaviyo's scalable data platform (streaming, batch, lakehouse, governance). Define SLOs, author ADRs/RFCs, implement ingestion/CDC, processing, storage, catalog/lineage and access controls. Optimize performance/cost, apply ML/GenAI to data workflows, partner with product/analytics, contribute code/reviews, and mentor senior engineers to enable reliable, multi‑tenant data at scale.

Lead the Customer Agent AI project at Klaviyo, managing engineering teams, defining technical direction, and driving architectural decisions to develop a conversational AI platform.

As a Senior Software Engineer, you will lead user-experience improvements, drive A/B testing, mentor team members, and develop scalable solutions to enhance customer onboarding and success.

As a Senior Software Engineer at Klaviyo, you will design and scale AI backend systems, collaborate with ML engineers, and optimize customer experience through innovative technology.

As an Engineering Manager for Data Automation, you will lead a team to build and manage data processing systems using various technologies, ensuring high performance and reliability while optimizing workflows.

As a Principal Engineer for Core Infrastructure at Klaviyo, you will architect and enhance the Kubernetes platform and CI/CD pipelines, improve developer velocity, and ensure operational excellence while incorporating AI tools for automation and incident response.

Design, build, and operate core platform services to improve availability, scalability, latency, and cost efficiency. Develop platform primitives (infra, databases, queuing), enable developer experience, and implement tooling for observability, self-healing, configuration-as-code, and cost optimization.