Remote | Full-time | Reports to: CTO
We design, develop, build, and analyze. We deliver impactful digital products and services — SaaS products, AI-powered solutions, web and mobile applications. As pioneers in the digital services space, we’re a team that knows how to innovate while having fun. Remote-first, but connection and collaboration are at our core.
You will be the first dedicated data leader in the business — responsible for the strategy, infrastructure, culture, and team that turn raw product data into a genuine competitive advantage. This is a hands-on leadership role: you will architect, build, and deliver while hiring and mentoring the team around you.
The right person is equally comfortable writing SQL and presenting to the executive team — strategic enough to set direction and practical enough to ship it.
- Define and own the company’s data strategy, roadmap, and operating model — treating data as a core organisational asset and a product, not a by-product
- Design and build core data infrastructure from scratch: warehouse, pipelines, instrumentation, CDP, transformation, and BI layers
- Own data security and governance: access controls, data classification, PII handling, retention, and privacy compliance (GDPR), embedding privacy-by-design from day one
- Define the metrics that matter across acquisition, activation, retention, and monetisation — and align them to company goals
- Own subscription analytics: churn modelling, LTV forecasting, cohort analysis, and pricing signals
- Develop self-serve reporting and a healthy experimentation culture, so every team can answer its own questions without a queue
- Drive AI/ML initiatives where they create measurable product or business value
- Build, lead, and mentor a high-performing data team — engineers, BI analysts, data analysts, and data scientists — scaling the function in line with business growth
- Partner with Product, Marketing, and Engineering to make data-informed decisions the default, not the exception
- Translate data capabilities into business outcomes — not just dashboards
- 7+ years in data roles, including experience building, leading, or mentoring a team
- Proven track record in a B2C SaaS environment, ideally with subscription-based revenue
- Deep hands-on SQL skills and experience with a modern cloud data warehouse (Snowflake, BigQuery, or Redshift)
- Experience with at least one orchestration or transformation tool (dbt, Airflow, or similar)
- Experience building data infrastructure and analytics capability from an early stage in a fast-moving, resource-constrained environment
- Strong commercial acumen: you connect data capability to business outcomes and translate data into decisions, not just dashboards
- Familiarity with product analytics tools (Amplitude, Mixpanel, Segment, or similar)
- Working knowledge of data privacy frameworks (GDPR, CCPA, or similar) and how they shape data handling
- Excellent communication skills, with the ability to influence cross-functional stakeholders and senior leadership
- Experience with multi-product platforms or managing data across diverse verticals
- Working knowledge of ML/AI applications in a product context (recommendation, churn prediction, and similar)
- Python or R proficiency for advanced analysis and modelling
- Competitive compensation
- Remote-first culture with flexible working hours
- 22 paid vacation days + local national holidays
- Opportunity to shape the excellence across a growing engineering organisation
- Modern stack, scalable products, and meaningful technical challenges