Jobs at Wheely

Support budgeting, forecasting, strategic planning, financial modeling, OPEX cost control, and performance analysis. The role involves evaluating new markets, pricing strategies, and cost optimization initiatives; monitoring variances; presenting insights to stakeholders; and improving finance processes through automation and cross-functional collaboration.

Own and optimize Wheely's London marketplace economics: monitor fulfillment, ETAs, utilization and cancellations; design pricing and incentive strategies; run experiments with Product and Data Science to improve matching, dispatch, and operational tooling to ensure service reliability and chauffeur earnings.

Work on infrastructure reliability and automation: manage incidents, assist dev teams, build pipelines, migrate services, maintain resilience, and create dynamic environments.

Design and implement privacy-first full-stack systems to keep user location data inaccessible. Work across React/TypeScript frontends and Node.js or Go backends, collaborate with product and design, and deliver well-tested production features.

Lead the engineering team at Wheely, focusing on backend systems, real-time applications, and privacy in ride-hailing technology, while building the London hub.

Build and maintain high-performance backend microservices (primarily in Go) for mapping: map-matching, ETA prediction, and routing. Migrate legacy services, optimize latency and reliability, collaborate with PMs, designers, and data scientists, and apply TDD/DDD and CI/CD practices.

Build and maintain scalable backend microservices (primarily in Go), migrate legacy systems, collaborate with product and data teams, and optimise system latency and reliability under heavy load.

The Associate Data Scientist will work on developing and optimizing machine learning models, collaborating with teams to tackle pricing and matching challenges.

Work directly with the Founder's Office on high-priority strategic initiatives, build company management infrastructure (performance, compensation, hiring, org design, KPIs), tackle special projects and emergencies, and oversee assigned business areas to monitor performance and provide insights to the Founder.

Lead CRM and loyalty strategy across consumer and corporate segments. Execute lifecycle, newsletter and loyalty campaigns via email, push and in-app. Optimize KPIs through segmentation, automation, personalization and testing. Coordinate with Product, Analytics, Partnerships, Design and Engineering on integrations and campaign execution.

The Technical Lead Manager will manage a team of developers, oversee project management, develop features, ensure code quality, and maintain documentation.

The role involves building and implementing machine learning models, collaborating with cross-functional teams to solve complex problems in data science.

Manage the product roadmap for a user-facing product, leading a cross-functional team and collaborating with stakeholders. Focus on UX/UI and analytics.

Responsible for the roadmap of a technical product, collaborating with engineers and stakeholders to develop, launch, and grow products.