Klaviyo - Boston, MA

posted 30 days ago

Full-time - Mid Level
Boston, MA
Publishing Industries

About the position

As an Engineering Manager for the Data Exchange team at Klaviyo, you will lead a group of talented software engineers in designing and developing distributed data processing systems. This role is pivotal in enhancing Klaviyo's data platform capabilities, enabling customers to leverage their data effectively. You will be responsible for mentoring your team, coordinating project delivery, and collaborating with cross-functional teams to ensure successful outcomes.

Responsibilities

  • Lead, manage, and mentor a team of software engineers that designs and develops distributed data processing systems.
  • Own features that thousands of our customers rely on daily to drive their business forward.
  • Coordinate a team of 4-6 engineers to deliver projects that enhance Klaviyo's data platform capabilities.
  • Work closely with cross-functional teams to define project scope, requirements, and timelines, and ensure timely and successful project delivery.
  • Think in systems, help design and improve architectural patterns to ensure they are performant and scalable.
  • Actively participate in code reviews and contribute to the development of technical solutions to complex problems.
  • Foster a culture of innovation, continuous learning, and collaboration within the Engineering and Product organizations.
  • Participate in the technical interview process to help maintain a high bar for our growing teams.

Requirements

  • 10+ years of experience in software development with 3+ years of experience in Engineering Management.
  • Proven experience being a coach and a mentor for team members and helping them grow.
  • Hands-on manager, able to contribute to design documents, write code, and perform code reviews when necessary.
  • Experience working with internal stakeholders on feature, technical, and architectural specifications.
  • Proficiency in managing all aspects of PDLC/SDLC and successfully driving complex projects to completion.
  • Experience working with data storage technologies and patterns, including distributed storage, data modeling, and relational databases.
  • Experience architecting, building, and delivering at least one complex data processing system.
  • Experience with large scale data pipelines, ETL systems, CDC, and distributed systems architecture.
  • Ability to apply off-the-shelf technologies to solve technical problems, and know when it's time to build your own.
  • Excellent communication and interpersonal skills.

Nice-to-haves

  • Experience working with both monolithic and microservices architectures.
  • Experience debugging performance issues and improving system performance.
  • Experience working with cloud technologies (AWS, GCP, Azure).

Benefits

  • Generous benefits package
  • Supportive work environment
  • Opportunities for professional growth and development
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