The Senior Software Engineer II will architect and build new features for the training platform, collaborate with product teams and support fellow engineers, while improving the development processes and tools.

Lead the Growth Product team at Runna, focusing on user acquisition, onboarding, conversion, and retention through data-driven strategies and experimentation.

As a Senior Modelling Engineer, you will build and improve training features, experiment with algorithms, mentor engineers, and collaborate with coaches to enhance user experience.

As a Senior Modelling Engineer, you will build and test new training features, improve algorithms, and coach engineers while collaborating with cross-functional teams.

Lead architecture and technical strategy across mobile and backend systems, drive end-to-end feature delivery, mentor engineers, improve CI/CD and developer productivity, own releases, and collaborate with Product and Design to scale a high-performing engineering organization.

Lead data modelling, exploratory analysis, and dashboard/reporting development. Deliver business insights, collaborate with stakeholders, mentor junior staff, and drive analytics best practices and experimentation.

Lead and contribute to design of iOS, Android and Apple Watch apps for Runna's training engine. Manage and coach two product designers, drive design strategy for training/coaching, prototype and present solutions, champion accessibility and quality, collaborate with engineers, PMs, coaches and Strava teams to deliver delightful user experiences.

Build, test and ship growth-focused user journeys and subscription funnels across web and app. Design and run experiments, implement instrumentation and tracking, own features end-to-end, collaborate with product/design/data, and improve CI/CD, testing and release workflows to increase conversion and engagement.

Lead and scale Runna's London recruiting function: manage a team of two recruiters, own talent strategy and forecasting, run high-priority searches, partner with hiring leaders across functions, build pipelines and employer brand, and drive data-informed recruiting improvements while collaborating with the broader Strava Talent team.

Maintain and evolve the data platform across AWS and Snowflake. Build scalable ETL/ELT pipelines, implement data transformations, ensure data quality, and collaborate with analytics, engineering, and AI/ML teams to deliver reliable datasets and drive business value.

Lead design strategy and execution for Recordings and Strength squads, partnering with PMs and engineers to solve complex problems, run user research, prototype and maintain the design system while raising design quality and accessibility.

Drive data reporting and analytics by exploring and documenting data, building reusable data models, delivering business insights, designing dashboards, and partnering with stakeholders and data engineering to translate questions into technical solutions.

Lead growth-focused engineering work: implement and maintain ad tracking SDKs/MMPs, build tracking/tag manager setups, design and ship full-stack growth features, integrate CRM/lifecycle tooling, build internal automation tools (Python/Node), and collaborate with Growth, Marketing and Data to run experiments and A/B tests.

The Senior Associate, Performance Marketing will oversee performance marketing strategies, manage campaigns, and optimize paid social initiatives for a mobile subscription app, while collaborating with the creative team to achieve CAC targets.

The Engineering Manager will lead a medium-sized team of engineers, ensure delivery of high-quality work, and foster an environment promoting growth and innovation.

As an intern, you will architect, build, and test features for a training app, collaborate with cross-functional teams, and improve developer tooling.

As a Full Stack Engineer Intern, you'll design, build, and test user journeys, improve conversion rates, and support CI/CD processes while collaborating with experienced engineers.

The CX Content & AI Knowledge Specialist will manage the Help Centre, ensuring accurate customer support content and making it AI-ready. Responsibilities include content governance, understanding customer needs, and optimizing knowledge structures for efficiency.