About the Company
HelloFresh is a global food solutions company. Its HelloTech organization is the global technology backbone with more than 1000 people, building digital products that power the end-to-end food experience. HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end.
About the Team
Behavioral Data & Experimentation is a cross-functional platform team with end-to-end ownership of digital tracking across all markets globally at HelloFresh: from tracking infrastructure all the way to curated data products and hypothesis validation mechanisms (e.g., A/B testing). The squad brings together software engineers, data engineers, and data scientists to build the tracking, event, and statistical infrastructure that drives product decisions.
Responsibilities
- Own the integration and evolution of tracking and experimentation SDKs (Snowplow, Statsig, or equivalent) across Android native and React Native layers, ensuring consistent, reliable event capture for every brand and customer touchpoint.
- Solve native mobile telemetry challenges, such as lifecycle events, background sync, offline event buffering, and custom native bridges.
- Embed AI-driven workflows into our platform tooling to increase automation and data quality.
- Drive engineering excellence by implementing robust automated testing, rigorous error handling, and high-quality release practices.
- Work closely with product managers, software and data engineers to continuously evolve our platform offering.
- Mentor engineers and contribute to team-wide engineering standards.
- Contribute to the app experience, owning the metrics that reflect quality for mobile customers (retention, crash-free sessions, conversion).
- Work beyond your specialization when the problem demands it.
- Operate what you build: instrument, monitor, and improve systems in production.
Requirements
- Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation.
- Extensive mobile engineering experience (5+ years) with strong native depth, ideally on Android (Kotlin).
- A flexible, cross-platform mindset, with a proven ability to work across mobile and web codebases.
- GenAI proficiency, including a proven ability to leverage AI tools and workflows to increase development speed, quality, and overall team output.
- A strong focus on engineering excellence, demonstrated through a commitment to high-quality codebases, proactive system stability, and resilient infrastructure design.
- Experience building and maintaining automated tests at different levels, including unit, integration, and end-to-end testing.
- A track record of taking ownership in ambiguous, cross-functional environments and working across engineering, product, and data teams to ship solutions that measurably move the needle.
- Deep mobile engineering expertise, with experience across the app release cycle, test automation, on-device performance and platform UX conventions.
- Strong communication skills, including the ability to explain technical decisions and trade-offs to different audiences.
- You take full ownership. You have a bias to ship. You finish the last twenty percent.
- You have product sense and are opinionated about the user experience.