Solutions Engineer

You will launch Ridecell at some of the largest fleet and leasing businesses in Europe - names like Arval BNP Paribas Group and KINTO by Toyota - turning their most complex operational processes into scalable, automated solutions. You’ll do it on a platform that already processes 12M+ events a day across 500K+ managed assets in 14+ countries, deployed anywhere from multi-tenant SaaS to fully sovereign inside the customer’s perimeter.

Our Solutions Team owns workflow-orchestration, data-pipeline, and AI projects end-to-end. We are the bridge between customer business teams, their core leasing systems (e.g. Sofico Miles, Odessa), suppliers, and our internal Engineering, Product, QA, Launch, Customer Success, and Sales functions.

As a Solutions Engineer, you will translate complex business processes into scalable Ridecell solutions: define future-state processes, design lifecycle and integration concepts, align API specifications, and shepherd the work all the way into stable production operations.

Why This Role

Real ownership. You lead the engagement, set the technical direction, and have a decisive voice in whether a launch is ready.

Strategic accounts. You work directly with category-defining European fleet and leasing customers, not generic mid-market deployments.

Product influence. Gaps and patterns you spot in the field feed straight back into the Ridecell roadmap - you don’t just file tickets, you shape them.

A real team behind you. You partner day-to-day with Engineering Leads, Product Managers, QA, Launch, Customer Success, and customer PMs - not a solo hero role.

AI as a first-class tool, not a slide. You’ll embed AI into customer workflows and into how the Solutions team itself operates.

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.

Requirements

Experience. 3+ years in Solution Engineering, Solution Architecture, Technical Project De