Solutions Engineer
About the role
Solutions Engineer role at Ridecell focusing on launching and integrating complex fleet management solutions for large European fleet and leasing customers, bridging business teams, core leasing systems, suppliers, and internal teams to deliver scalable, production-ready deployments with AI-enabled workflows.
Responsibilities
- Own the engagement. Lead the workstream end-to-end, coordinating customer business teams, core leasing system teams, suppliers software architects, and internal stakeholders.
- Discover. Map current-state business and supplier processes, operational constraints, IT capabilities, and integration readiness.
- Design the solution. Run process-mapping workshops to define future-state processes and scope. Translate requirements into lifecycle architecture, automation logic, data flows, supplier interactions, exception handling, and configuration models - including where AI agents or models meaningfully replace or augment a human step.
- Specify and align. Design the integration footprint across the customer’s system landscape - telematics, ERP, OEM portals, core leasing systems, maintenance, invoicing, insurance, and more - and define how data is harmonized into a single intelligence layer. Specify inbound/outbound API contracts, payloads, lifecycle triggers, business events, and error-handling rules. Maintain the supporting integration documentation and test collections. Facilitate technical alignment with customer IT, supplier developers, and internal Product, Engineering, and QA.
- Shape the backlog. Turn product gaps, configuration needs, and custom developments into well-scoped engineering stories across frontend, backend, data pipelines, integrations, dashboards, and AI features. Partner with Engineering Leads and customer PMs on sizing and planning.
- Drive build, test, and data readiness. Equip Engineering with the business context and test scenarios they need; plan internal, supplier, and end-to-end testing; and lead data initialization - mapping legacy statuses, reviewing extraction logic, and challenging data quality.
- Enable the customer. Define and validate operational and KPI dashboards, and deliver customer and train-the-trainer enablement covering usage, exception handling, operations, and how to work alongside the AI agents in their workflow.
- Launch and stabilize. Prepare production tenants, run go/no-go reviews, provide on-site support during the first days after launch, and transition cleanly into hypercare.
Qualifications
- 3+ years in Solution Engineering, Solution Architecture, Technical Project Delivery, or Technical Consulting in complex enterprise software environments, with a proven track record leading projects end-to-end through to stable production.
Skills
About Ridecell
AI for Automotive Leasing and Mobility
Ridecell is leading the way in the digital transformation of fleet businesses and operations. Our Fleet Automation and Mobility solutions modernize and monetize fleets by combining data insights with digital vehicle control to turn today’s manual processes into automated workflows. The result is unmatched levels of efficiency and control for leasing, rental, government, commercial and shared fleets. Today Ridecell powers some of the most successful fleet businesses and the leading government fleets in cities across Europe and North America. Our customers and partners include: Penske - the largest truck fleet in America with 400,000 trucks Mobility fleets for Toyota, Ford, Daimler, BMW - - the largest OEMs in the world and BNP Paribas, Arval: 1,500,000 vehicles, the 2nd largest fleet in Europe And the largest government fleets in the world including San Francisco, New York City, the Belgian Government Our platform makes these businesses more intelligent, accessible, efficient and safer by connecting and automating the core technology pillars including vehicle technology like telematics, camera and ADAS system, and enterprise platforms including CRM, commerce and finance systems. Ridecell is headquartered in San Francisco, California with offices in Tokyo, Madrid, Paris, Bordeaux, Berlin and Pune, India.
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