Engineering Manager - Data Automation

United States Digital Space LLC; Boston (MA); Hybrid; USD 176,000 - 264,000; Full time

Job summary

Klaviyo is seeking a founding member for the Data Automation team to define the technical and organizational vision, lead a 7+ engineer group, and own critical infrastructure. The role focuses on designing scalable data platforms in a DevOps environment using AWS, Terraform, Python, Kubernetes, and related technologies.

You will drive architecture, mentor engineers, and shape the roadmap while delivering high-impact analytics capabilities powering thousands of customers.

Qualifications

• 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 outage situations and drive root cause analysis and prevention of future issues.
• Experience writing code using best practices in a language such as Python, Ruby, Go, etc.
• Have experimented with AI in work or personal projects and are eager to explore more AI tools and workflows.
• Proven ability to come up to speed quickly.
• Hybrid office work 3x/week out of our Boston office.

Responsibilities

• Build and manage a team of 7+ engineers to fulfill the data automation vision and roadmap.
• Coach engineers, manage technical documentation, and articulate a phased approach to the team’s vision.
• Own the mission, technical direction and operations of projects with immediate impact.
• Wholly own the frameworks enabling provisioning, updating, testing, monitoring, and scaling infrastructure for 183,000+ customers.
• Optimize infrastructure with teams owning the company’s analytics system covering hundreds of terabytes of data.
• Transform workflows by incorporating AI at the center and building smarter systems.

Skills

Leadership

Distributed systems design

Python programming

Outage handling

AI experimentation

Rapid ramp-up

Education

BA/BS in Computer Science or related field

Tools

AWS

Terraform

Python

Kubernetes

Clickhouse

DynamoDB

MySQL

Kafka

Spark

Flink

Airflow

Job description

*At the company, we value the unique backgrounds, experiences and perspectives each the company (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. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at the company? Visit the company.com/careersto see how we empower creators to own their own destiny.*

At the company, we love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Team Overview:

the company operates a real-time data analytics platform written primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). The Data Automation team builds tooling and establishes best practices and technology choices that help enable the Data Platform area to power core the company functionality and generate data-driven insights.

As a founding member on the Data Automation team, you will have ownership over defining the technical and organizational vision for the team. You will be responsible for leading the team to design and build systems that help us operate our mission critical analytics infrastructure.

Team Tech Stack:

• AWS

• Terraform

• Python

• Kubernetes

• Clickhouse

• DynamoDB

• MySQL

• Kafka

• Spark

• Flink

• Airflow

How You'll Make a Difference

• You will be responsible for building and managing a team of 7+ engineers to fulfill your data automation vision and roadmap.

• Responsible for coaching engineers, managing/reviewing technical documentation and articulating a phased approach to achieving the team's overall technical vision.

• Be responsible for the mission, technical direction and operations of projects that have immediate impact.

• Wholly owning the frameworks that enable us to provision, update, test, monitor, and scale infrastructure to power features that 183,000+ customers rely on daily to reach 4B+ consumers to drive their business forward.

• Optimizing infrastructure with the teams that own the company’s analytics system that provides insight on hundreds of terabytes of data.

• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Required Skills

• 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

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

**Massachusetts Applicants:**It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.

In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign‑on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.

Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.

Base Pay Range For US Locations:

$176,000—$264,000 USD

*This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.

Get to Know the company

We’re the company (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

*AI fluency at the company includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.

*By participating in the company’s interview process, you acknowledge that you have read, understood, and will adhere to ourGuidelines for using AI in the the company interview Process. For more information about how we process your personal data, see our*