Flagship

FlagshipRTL

Remote

Meet Flagship:

Flagship is building an innovative Sales and Operations Planning (S&OP) software that empowers DTC retail brands to maximize growth efficiency. Our platform seamlessly integrates with their first-party data to provide tailored insights based on advanced data analytics to drive cross-functional strategic decision-making.

At Flagship, we have built a multidisciplinary team of machine learning experts and industry professionals from the tech, commerce, and retail sectors. This has allowed us to build software that actually serves the needs of retail planning teams and executives and enables data-driven collaboration across departments. Our mission is to break businesses free from the limitations of outdated, siloed metrics and instead, focus on high-impact growth indicators that contribute to a positive net business outcome.

Join us in revolutionizing the way that retailers interact with their data to make more accurate, granular decisions informed by both their business expertise and machine learning algorithms.

As one of the first Backend Engineers at Flagship, you will play a crucial role in the development and enhancement of our Inventory SaaS application. The ideal candidate is a self-starter who wants to have ownership over building an pioneering product. You must be able to thrive in navigating fast-paced environments with significant ambiguity and rapidly changing conditions. We are seeking a Backend Engineer with 4+ years of commercial experience post-academia and committed to building a SaaS Platform with machine learning and data science capabilities.. Prior experience in high-growth, venture-backed tech is a major bonus.

Key Responsibilities:

● Design and implement robust data pipelines, integrate cutting-edge technologies, and collaborate with cross-functional teams

● Developing and enhancing our data infrastructure, supporting DTC retail brands (generating $20 - $200mm in revenue)

● Write production-level code, architecting scalable systems, and ensuring data integrity throughout the pipeline

● Manage batch processed data ingestion for Shopify, importing product, sales and inventory data

● Manage the ingestion of individual purchase orders in pdf & csv format

● Establish effective tests to validate data processing tasks and maintain data integrity throughout the pipeline

● Collaborate closely with backend and machine learning engineers to implement new APIs and services

● Deliver ETL pipelines to move data from Shopify, customer files, and ML pipelines into Snowflake and Postgres

Requirements:

● 4+ years of backend & python development

● Experience building complex data pipelines / ETL

● Experience with orchestration tools and data pipeline management

● Demonstrated experience in fast-paced, innovation-centric environment

● Demonstrated experience with production databases (Postgres) & strong knowledge of SQL

● Comfortable working in cloud/containerized environments (AWS, Docker, Kubernetes)

● You are a strong collaborator with the ability to foster solid team dynamics and effective cross-functional relationships

● Enjoy researching, problem solving, and delivering clarity when opportunities have multiple solutions and are ambiguous in scope.

● Nice to have:

` ○ Experience in Go

○ Snowflake experience ○ Familiarity with Shopify API`

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*The portfolio companies and portfolio company executives presented are examples of portfolio companies that Insight has worked with to assist the company achieve business and capital raising goals and are not intended to be a representative sample of all portfolio companies. The statements by portfolio company executives are intended to highlight their experiences working with Insight as an investor in their companies. The experiences of other portfolio companies and portfolio company executives may differ from the experiences presented. Insight did not provide compensation to the portfolio company executives or portfolio companies in connection with the statements provided by such executives. There is no guarantee that Insight’s work with other portfolio companies will produce similar results to those presented.

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