Software Engineer - Catalog Insights - Analytics

The Catalog Insights Team’s mission is to arm Klaviyo customers with the data they need to drive sustainable business growth through efficient and effective product placement. Beyond analytical views, this team is also highly focused on actionability: finding creative ways for customers to go from catalog insight to revenue-driving marketing action in a matter of clicks.

As an Engineer on the Catalog Insights team you can expect to be deeply involved in the technical discussions and delivery of the features our customers need. You'll have ownership of projects that contribute to the team's mission, goals, and roadmap. You'll collaborate alongside technical product owners and product managers to build a product and develop a technical strategy to deliver products that make it easy for users to understand their data and performance. Your tech stack will include Python, Typescript, React, AWS, Kubernetes, Django, and Spark. 

How You Will Make A Difference

• Deliver key product capabilities for Catalog Insights to support our recently launched Marketing Analytics product.


• Design and build systems and data pipelines that process large volumes of data to deliver experiences providing value to Klaviyo customers of all sizes


• Work cross functionally with product, design, and data science teams to develop product requirements and technical solutions.


• Own product solutions end-to-end, including technical design, implementation, maintenance, monitoring, and participation in on-call rotations for the services we ship.


• Have ample opportunities for growth. 

Who You Are

• 2+ years experience working in a SaaS product in full stack capacity


• Proficient in at least one modern programming language


• Degree or equivalent experience in a software engineering discipline


• Able to communicate well


• Able to work with others on a team


• Able to learn continuously and adapt to a high growth environment


• Able to stick with and solve difficult problems


• Excited to learn and understand data visualization in addition to full stack engineering

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