Engineering Lead - AI-Driven Data Platform

We're looking for an Engineering Lead to take ownership of the AI-driven data platform that underpins the product. This is a systems role.

You'll be working with messy, multi-source athlete data — aligning it into a consistent, reliable system where correctness, timing, and interpretability matter. The goal is perhaps simple to state, but hard to execute:

turn data and model outputs into something practitioners can trust when making decisions.

You will lead the engineering effort across:

• data ingestion and normalization
• pipelines and feature computation
• APIs and product-facing services
• reliability, observability, and deployment practices

You'll work closely with the CEO & founder, leading the modelling direction, and take full ownership of how that intelligence is operationalised in the product.

• Turning a working stack into a robust, scalable product platform
• Owning data correctness and consistency across athletes
• Ensuring outputs are traceable, reliable, and usable
• Leading and growing the engineering team

Establishing strong practices around:

• environments, deployment, and rollback
• monitoring and incident response
• onboarding new data sources and clubs

• GCP (Cloud Run, BigQuery, GCS, Eventarc)
• React Native (Expo) mobile app
• Cloud-native microservices architecture
• Data pipelines with idempotent ingestion and scheduled transformations
• Integrations across multiple athlete data sources (Whoop, Statsports, Vald, etc.)

A senior engineer who:

• Has built and scaled data-heavy systems in production
• Is comfortable across backend, data platforms, and cloud infrastructure
• Thinks in systems — not just services
• Cares about reliability, clarity, and correctness
• Leads by taking ownership and staying hands-on

Bonus if you've worked with:

• messy, real-world data (sports, health, IoT, fintech)
• decision-support systems
• GCP-based architectures

We believe exceptional products are built by exceptional people. There's often a perceived trade-off between experience and willingness to build. We don't think that's true.

If you're a builder at heart, that doesn't go away — and that's who we're looking for.

We're a young company with ambitious goals, and we focus on making things work.

• No unnecessary process
• No over-engineering
• No hiding behind abstraction

This is not a research environment, but it is a place for people who take ownership and build systems that actually get used.

We're a small, international team — with people ranging from early 20s to mid-60s.

What we share is simple:

• we're excited about working at the edge of new technology
• we care about building something that matters
• we prefer doing it in a focused, low-friction environment

We're based at DTU in Copenhagen, with the flexibility to work from home. We trust people to manage their time, and expect them to take responsibility for what they build.