Subsets (YC S23) is an early-stage startup building the future of AI-driven subscription growth. As a Solutions Engineer, you'll join the early team as the technical bridge between our platform and our customers. This is not a traditional customer success role - you'll operate as a technical owner of customer outcomes, deeply embedded in both our product and our customers' data, systems, and workflows.
What you will do
own the technical success of a portfolio of accounts and translate customer goals into concrete, working solutions within the Subsets platform.
work hands-on with data and models: build, validate, and deploy ML-driven features such as propensity models and churn signals, and ensure reliable data flows across integrations (Braze, Sailthru, and others).
bridge product and engineering: validate the feasibility of use cases, prototype new solutions, identify product gaps, and take care of bugs.
partner closely with our Lifecycle Engineer(s), who lead the client relationship, while you own the technical part.
work in a lean, high-performing team where you will have a significant impact and assume high levels of responsibility.
Tech stack: Python, Google Cloud Platform, BigQuery, dbt, PostgreSQL
At times, you'll work directly in our codebase - reading code, debugging, and fixing across real customer data pipelines. You won't own production deployments by default, but you should be technical enough to do so.
You may be a great fit if you have
experience in solutions/product engineering, technical customer success, technical consulting roles, or other technical customer-facing roles.
hands-on experience with data pipelines, integrations, and debugging data quality issues in production environments.
familiarity with ML/AI concepts and experience working with or deploying predictive models.
familiarity with CRM/marketing automation platforms (e.g., Braze, Sailthru, or similar) is a big plus.
the ability to move between deep technical work and clear client communication.
working well under timeline constraints.
you prefer a primarily in-office way of working.
you’re energized by the pace and intensity of early-stage startups.
Perks
competitive salary and equity
company card for all things office food/snacks
great breakfast and lunch (and dinner when working late in the office)
relocation support if you don't live in Copenhagen
Skills Required
- Proficient in Python
- Experience with Google Cloud Platform
- Experience with BigQuery
- Experience with dbt
- Experience with PostgreSQL
- Hands-on experience with data pipelines, integrations, and debugging production data quality issues
- Familiarity with ML/AI concepts and experience working with or deploying predictive models
- Familiarity with CRM/marketing automation platforms (Braze, Sailthru or similar)
- Strong client communication and ability to translate customer goals into technical solutions
- Comfort working primarily in-office (Copenhagen) and in an early-stage startup environment
What We Do
Subsets is an AI-driven lifecycle growth and retention automation platform purpose-built for consumer subscription businesses. The company provides a no-code AI decisioning layer that allows commercial teams to automate lifecycle experimentation, orchestrate personalized user journeys, and optimize retention and lifetime value (LTV) by predicting key audiences and analyzing behavioral drivers of churn.
