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