We're putting together a talented team to build the #1 training platform for Runners

We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon.

We’re growing extremely fast! In November 2023 we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we’ve built & in 2025 we were acquired by Strava!

Our ambition is huge: to become the go-to global leading training platform for millions of runners everywhere. We’re growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join. 🚀

As a cross functional (engineering, product, design, coaching) team of >35, the Train Team work at the heart of Runna’s mission: delivering the best training possible to hundreds of thousands of runners worldwide. From creating and dynamically adjusting optimal, personalised training plans at scale, to analysing performance data to make training adjustment recommendations, to providing insight to users derived from their training and environment - we do all things training technology.

We follow a flexible hybrid model that translates to more than half of your time on-site – 3 days per week in Runna's office based in London, UK.

What You’ll Do

Building, testing and delivering new and improved training features (such as adjusting plans for illness, injury, weather, incorporating new goal types such as training for consitency)

Experimenting to improve our training system with new algorithms, design patterns, optimisations and modelling approaches

Coach and support engineers, providing guidance, mentorship, and code reviews without creating bottlenecks

Collaborating with coaches to best deliver their expertise to users

Using a data-led approach to influence algorithms where possible

Designing and implementing test approaches to ensure consistency and accuracy of training

What You’ll Bring to the Team

We’d generally expect ~3+ years of experience in a software engineering, modelling focussed position for this role, however expect this to vary candidate to candidate!

Proficiency in Python (object orientated) programming, with experience writing production quality code - a bonus for large python projects and leveraging scalable design patterns effectively

Ability to design and implement complex algorithms and modelling components (e.g. exercise scheduling), and comfortable with quantitative methods and approaches to solving problems - gained through various experiences or studies (e.g., Computer Science, Mathematics, Physics, Engineering degree or equivalent practical experience)

Demonstrate best practice in your own work, as well as collaborating with other engineers to elevate the quality and velocity of the team

Testing modelling focused software to ensure quality and maintainability

A pragmatic mindset, with excellent communication and collaboration skills

Analytical and detail-oriented, with a commitment to producing high-quality work

Enthusiasm for our ways of working which include

Working in a fast-paced, iterative environment whilst maintaining engineering quality

Iterative development, continuous deployment and test automation

Knowledge sharing, pair programming, collaborative design & development

Shared code ownership & cross-functional teams

It’d be a bonus if you

Experience with deployment, release cycles or CI/CD

Experience delivering features end-to-end: from design, to implementation through to releasing, testing and supporting

Experience in a product focussed organisation, building consumer facing applications

Compensation Overview & Benefits

We’re offering a salary of £70,000 - £78,000 per year, depending on experience, plus participation in Strava's long-term incentive (stock) programs.