Engineering Manager - Data Automation

<div class="content-intro"><p><em>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (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 Klaviyo? Visit <a class="_ymio1r31 _ypr0glyw _zcxs1o36 _mizu194a _1ah3dkaa _ra3xnqa1 _128mdkaa _1cvmnqa1 _4davt94y _4bfu18uv _1hms8stv _ajmmnqa1 _vchhusvi _kqswh2mm _ect4ttxp _syaz13af _1a3b18uv _4fpr8stv _5goinqa1 _f8pj13af _9oik18uv _1bnxglyw _jf4cnqa1 _30l313af _1nrm18uv _c2waglyw _1iohnqa1 _9h8h12zz _10531ra0 _1ien1ra0 _n0fx1ra0 _1vhv17z1" href="http://klaviyo.com/careers" data-renderer-mark="true">klaviyo.com/careers</a>&nbsp;to see how we empower creators to own their own destiny.</em></p></div><p>At Klaviyo, we love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning &amp; 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.</p> <p><strong>Team Overview:</strong></p> <p>Klaviyo 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 Klaviyo functionality and generate data-driven insights.</p> <p>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.</p> <p><strong>Team Tech Stack:</strong></p> <ul> <li>AWS</li> <li>Terraform</li> <li>Python</li> <li>Kubernetes</li> <li>Clickhouse</li> <li>DynamoDB</li> <li>MySQL</li> <li>Kafka</li> <li>Spark</li> <li>Flink</li> <li>Airflow</li> </ul> <p><strong>How You'll Make a Difference</strong></p> <ul> <li>You will be responsible for building and managing a team of 7+ engineers to fulfill your data automation vision and roadmap.</li> <li>Responsible for coaching engineers, managing/reviewing technical documentation and articulating a phased approach to achieving the team's overall technical vision.</li> <li>Be responsible for the mission, technical direction and operations of projects that have immediate impact.</li> <li>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.</li> <li>Optimizing infrastructure with the teams that own Klaviyo’s analytics system that provides insight on hundreds of terabytes of data.</li> <li>Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.</li> </ul> <p><strong>Required Skills</strong></p> <ul> <li>BA or BS Degree in Computer Science, related field, or equivalent experience</li> <li>8+ years of software engineering experience in a DevOps environment with specific experience in data processing systems.</li> <li>3+ years of people management experience</li> <li>Hands-on experience designing, building, and operating reliable, fault-tolerant, and high performance distributed systems</li> <li>Ability to handle yourself in outage situations and to drive failures to root cause analysis and prevention of future issues</li> <li>Experience writing code using best practices in a language such as Python, Ruby, Go, etc.</li> <li>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.</li> <li>Proven ability to come up to speed quickly</li> <li>Hybrid office work 3x/week out of our Boston office</li> </ul> <p>&nbsp;</p> <p>We use Covey as part of our hiring and / o