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Engineering Manager - Data Automation

Boston💼 Full-time💰 $176,000–$176,000🗓 2026-05-20 → 2026-08-01

Core

Leading a team of 7+ engineers to build and operate mission-critical data automation infrastructure and tooling for a real-time analytics platform.

Role type

Senior Engineering Manager (Data Automation & Infrastructure)

Builds

Scalable data processing systems, automation tooling, and infrastructure enabling core analytics functionality for 183,000+ customers.

Domain

Ecommerce data analytics, cloud infrastructure, and distributed systems.

Deliverable

infrastructure

Required skills

People management (3+ years), distributed systems design, DevOps environment experience, Python/Ruby/Go coding, outage management, AI experimentation, rapid upskilling

Preferred skills

None stated

Technologies

AWS, Terraform, Python, Kubernetes, Clickhouse, DynamoDB, MySQL, Kafka, Spark, Flink, Airflow

Responsibilities

Building and managing a team of 7+ engineers, coaching engineers and reviewing technical documentation, driving technical vision and roadmap, optimizing infrastructure for hundreds of terabytes of data, implementing AI-driven workflows

Seniority

Senior, hands-on IC with management responsibilities

Rewrite
## Responsibilities - Building and managing a team of 7+ engineers to fulfill the data automation vision and roadmap. - Coaching engineers, managing/reviewing technical documentation, and articulating a phased approach to achieving the team's overall technical vision. - Being responsible for the mission, technical direction, and operations of projects that have immediate impact. - Wholly owning the frameworks that enable provisioning, updating, testing, monitoring, and scaling infrastructure to power features that 183,000+ customers rely on daily. - Optimizing infrastructure with the teams that own Klaviyo’s analytics system that provides insight on hundreds of terabytes of data. - Transforming workflows by putting AI at the center, building smarter systems and ways of working from the ground up. ## Requirements - BA or BS Degree in Computer Science, related field, or equivalent experience. - 8+ years of software engineering experience in a DevOps environment with specific experience in data processing systems. - 3+ years of people management experience. - Hands-on experience designing, building, and operating reliable, fault-tolerant, and high performance distributed systems. - Ability to handle yourself in outage situations and to drive failures to root cause analysis and prevention of future issues. - Experience writing code using best practices in a language such as Python, Ruby, Go, etc. - You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. - Proven ability to come up to speed quickly. - Hybrid office work 3x/week out of our Boston office. ## Nice to Have - None specified. ## Benefits - Hybrid office work 3x/week out of our Boston office.
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