Software Engineer, Runna
Machine Learning, Mid
£60-80k
+ Equity in the form of Runna stock options.
2-3 days a week in office (Vauxhall, London)
Tailored running training plans
Be an early applicant
Tailored running training plans
101-200 employees
Be an early applicant
£60-80k
+ Equity in the form of Runna stock options.
2-3 days a week in office (Vauxhall, London)
101-200 employees
Company mission
To make running training effective, enjoyable and easy for everyone.
Role
Who you are
- Proficiency in Python (object orientated) programming, with experience writing production quality code
- Designing and building complex models and algorithms (ideally involving machine learning), comfortable with quantitative methods and approaches to solving problems
- Testing modelling focused software to ensure quality and maintainability
- Analytical and detail-oriented, with a commitment to producing high-quality work
- A good base understanding of computing fundamentals
- A pragmatic mindset, with excellent communication and collaboration skills
- Able to work in a highly skilled engineering team in a fast-paced, iterative environment. In 2024 we shipped to production:
- 99 mobile app releases (iOS and Android)
- 443 API releases
- 237 modelling backend releases
- Enthusiasm for our ways of working which include:
- Iterative development, continuous deployment and test automation
- Knowledge sharing, pair programming, collaborative design & development (with other engineers, product managers, designers and running coaches)
- Shared code ownership & cross-functional teams
Desirable
- Have an understanding of deployment, release cycles or CI/CD
- Have exposure to delivering features end-to-end, from architecture design and building through to releasing, testing and supporting
- Have experience monitoring models and algorithms in production
- Have experience with serverless and event driven architectures
- Have cloud experience, ideally AWS
- Have open-source contributions
- Have a strong interest in the health/fitness technologies
- Have end-to-end experience with LLMs, from identifying use cases to evaluation and production deployment
What the job involves
- We are looking for talented, creative and positive team players to join our highly-skilled Cross-Functional Engineering Team to help build models and algorithms focussed on running training, to help supercharge our training plans for runners everywhere
- As part of this work, you’ll be working closely with the product and coaching teams to create components that will dynamically build runners optimal training plans, whilst adapting from external inputs (e.g. workout performance data), and provide insight and recommendations for their future training
- You’ll be part of the Train team here and we’ll all support you along this exciting journey!
- Building, testing and delivering new and improved running training features to generate personalised, adaptive training plans for hundreds of thousands of active users, as well as providing insight into performance and recommendations for future training adjustments
- Working across the full stack with respect to machine learning engineering - from solution design, data wrangling, model training, deployment, iteration and more - you’ll have ownership across the full lifecycle
- Continuously improving our modelling components ensure we’re always providing state of the art insight and analysis
- Collaborating with coaches to best deliver their expertise to users
- Using a data driven approach as part of the model/algorithm development process
- Designing and implementing evaluation frameworks to ensure accuracy and generalisation of modelling components
- Frontend: React Native (iOS and Android), Typescript, GraphQL (Apollo Client), Fastlane, SwiftUI (Apple Watch), Maestro E2E tests
- Backend: Serverless (AWS), Lambdas (NodeJS & Python), AWS AppSync, DynamoDB, S3, SQS, SNS, EventBridge, SageMaker, Postman API tests
- All the other good stuff: Sentry, GitHub Actions, Intercom, Mixpanel, RevenueCat, App Store Connect / Play Store, Google Tag Manager
Application process
- Introductory chat (30 minutes video call)
- Take home technical task (max 1-2 hours to complete)
- 1.5 hour technical interview (the first half of the call will be used to discuss the take-home technical task from the previous stage and the second half will be some general architecture/tech questions)
- Meet the team and in-person chat (in-person chat with founder(s), rest of the team and technical discussion)
- Once the process is finished, we promise to let you know our decision as soon as possible
Salary benchmarks
Our take
As a way to keep fit, running has shot up in popularity in recent years, partially due to accessibility, especially during the pandemic. But for those who want to take running to the next level – whether that be a 5K or a marathon – it can be difficult to know where to start in terms of a training plan. Runna supplies an app with personalised training plans for all types of runs, to help people achieve their running and fitness goals.
Runna was founded in 2020 by running enthusiasts for running enthusiasts, in response to the lack of tools – save paying a professional trainer – available to help runners train. Although there is a wealth of day-to-day running apps available, where Runna stands out is in providing training plans for specific races, which can be distinguished by distance and goal time. In addition, it does this whilst maintaining a sense of community, which has proven to be a popular feature amongst other running apps, and still caters to a range of experience levels.
Runna has since consistent subscriber growth since its launch, serving thousands of users globally. The company plans to build and scale into the future, reach more customers, and expand its team.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Nov 2023
$6.4m
SEED
Dec 2022
$2.4m
SEED
Total funding: $9.7m
Company benefits
- Own a part of Runna: We want you to own a part of the company you're building. Everyone who joins Runna receives a generous stock options package
- Grow with us: As one of our early hires, you'll have a unique opportunity to shape and influence Runna's product and culture from the beginning
- Learn and develop: We work with all of the latest tools and technologies so you can learn at the cutting edge of product development
- Team socials: We're a friendly bunch and like to make work-like fun, whether that's lunches and dinners or our bi-weekly team run
- Paid vacation: We want people to take time off to rest and rejuvenate. Runna offers 25 vacation days + bank holidays
- Tools: You'll receive all new equipment including a laptop, running watch of your choice, and anything else you need to do your best work
- Get paid to Run(na): We have a dedicated hour block each week where you'll get paid to run! Whether you want to build up to your first 5k or do that tough intervals sessions it's up to you!
- Enhanced family care: 3 months fully paid when you welcome a new Runna into the family, as well as fertility support & a host of other benefits
Company values
- Go above and beyond for our Runnas
- Go above and beyond for our team
- Go above and beyond for ourselves
Company HQ
Vauxhall, London, UK
Leadership
Dom Maskell
(Co-Founder and CEO)Previously an Officer Cadet at the RAF and worked both as a Business Analyst and later Product Manager at McKinsey & Company.
Ben Parker
(Co-Founder & Head Coach)Former Personal Trainer and Running Coach. Owned Ben Parker Fitness. Previously a Spin & Pilates Class instructor at Roehampton Club, and Activities Manager at Mark Warner.
Walter Holohan
(CTO)Initially joined Runna as a Technical Lead before being promoted to CTO. Prior to Runna, they were a React Native Developer at 11:FS, a Full Stack Engineer at Nationwide Building Society and a Director at Spartn.
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