London, England, United Kingdom£45,000 - £50,000 per yearProduct
We’re on a mission to empower the world to choose fitness.
WithU is an award-winning audio-led fitness app available globally on Android and iOS. We are an exciting and ambitious start-up that launched to market in 2020 and has since become one of the fastest-growing fitness products in the UK. In 2023 we also launched a new product in partnership with Sky TV, which is currently revolutionising the future of at-home fitness.
We are looking for a data-driven Product Manager who is passionate about creating digital experiences with customer needs at the centre of them.
You'll be working with the wider product team (UX/UI, QA and engineering) as well as cross-functionally to design, build and roll out products that align with our product vision.
Run product discovery to uncover customer pain points and find innovative solutions to address them within our product
Collaborate within the product and design team in a Lean UX environment
Write technical specifications for the engineering team, working within a scrum environment.
Deliver Sprint reviews to showcase increments generated
Work closely with our Scrum Master to conduct Sprint Planning and Retrospectives
Engage in cross-functional workshops with Marketing, The Innovation team, Commercial and Content, to innovate on new concepts
Assist QA in testing to ensure the product mission is executed accurately
Maintain a finger on the pulse within the fitness and tech industry to find innovative opportunities to explore
What do you need?
3+ years of experience as a Product Manager, ideally in mobile apps in agile environments
A passion for learning with an acute attention to detail
To have strong problem-solving ability and be skilled at working effectively with cross-functional and fast-moving teams
Strong organisational skills with an ability to think on your feet, manage a busy workload and autonomously deliver deadlines
You must be highly analytical and data-driven, while constantly searching for any bias or blindspots in our data