Your role in Subsets We seek a driven Data Engineer to join us as the 5th team
member of Subsets and help us advance toward our vision of redefining Customer
Relationship Management (CRM). As the fifth employee, you will be at the heart
of our data operations and a core team member. This role offers an opportunity
to shape the data infrastructure and directly influence product development at
Subsets. You will collaborate with our software engineers and data scientists
to build a scalable data infrastructure that powers our AI-driven platform. At
Subsets, we are developing the future of AI-driven Retention Automation for
subscription media companies. To explain this in simple terms, consider the
latest subscription you have held personally (news, streaming, etc.). The
communication you have received as a subscriber was probably either non-
existent, impersonal, not fitting your preferences, or not engaging. We are
building Subsets to rethink this experience and simultaneously increase
subscribers' lifetime. We are a small team backed by leading VCs, such as Y
Combinator, and our customers include some of the largest subscription
businesses in the world, such as Daily Mail (UK) and The Athletic (US). As a
data engineer at Subsets, you will work directly with our customers' data and
have the opportunity to shape and impact the product experience. In this role,
you will Work directly with the founding team and our software engineers.
Design, develop, and manage our scalable data pipelines and ETL processes.
Monitor and optimize our data pipelines (we are moving a lot of data!). Work
in a small, high-performing team where you will influence the product. Keep up
with the latest developments in the space and see how they can be applied. You
may be a good fit if you have A background in data engineering. Hands-on
experience in SQL, dbt and BigQuery, postgreSQL, or similar. Have prior
experience building ETL pipelines. Experience working with Google Cloud
Platform, AWS, or similar. Experience working with technologies such as
Docker, Terraform, Python, or similar. The ability to work effectively in a
startup environment where things change fast and are sometimes loosely
defined. This is neither an exhaustive nor necessary list of attributes. If
none of these apply to you, but you believe you can contribute to Subsets,
please reach out.
