Ridecell

Introduction: Ridecell’s vision is to move the world better.  We have a long history of innovation in the mobility and fleet space, from early days running ridesharing, to powering the carsharing platforms for mobility service operators like BMW, Renault, AAA, and Toyota; to more recently expanding into intelligence and automation solutions for large scale fleets with customers like Arval and Merchants. Ridecell’s Customer Success Manager is a true customer advocate - growing customer relationships from implementation, throughout each lifecycle phase. CSMs serve as the primary liaison between the internal Ridecell team and external stakeholders. They are able to identify, rationalize and communicate customer needs and problems. They are able to empathize, mentor and problem-solve in any circumstance. The ideal candidate is enthusiastic, tech savvy, and passionate about providing an exceptional experience for every customer. Personal characteristics of individuals who have proven to be a good fit in our dynamic environment include strong strategic thinking skills, an entrepreneurial mindset, the ability to build rapport with customer executives, and a willingness to roll up their sleeves and execute whatever task needs doing.  Candidates with backgrounds in management consulting (e.g., McKinsey, BCG, Deloitte, Accenture, etc.), operational roles with large fleets or new mobility start-ups (e.g., ridesharing, carsharing), and customer success strategic roles with enterprise solution SaaS vendors often have the skills and experience needed.  Responsibilities: Account Management: End-to-End Ownership: Act as the primary lead for the planning, launch, implementation, and long-term refinement of solutions for major enterprise accounts. Executive Partnership: Develop trusted advisor relationships with day-to-day contacts, middle management, and senior executives in the enterprise accounts. Strategic Reviews: Drive a consistent cadence of Quarterly Business Reviews (QBRs) in collaboration with Growth leadership to align on long-term goals. Communication: Resolve critical customer issues by providing transparent, rapid communication and actionable remedies. Project & Program Management: Priorities and tradeoffs: Help stakeholders within our customer effectively balance competing priorities and make tradeoffs regarding change requests that align with both the customer’s and Ridecell’s strategies Resource Negotiation: Balance customer change requests against Ridecell’s internal roadmap; negotiate timelines and workloads to ensure high-performance delivery. Cross-Functional Liaison: Bridge the gap between customers and internal teams (Product, Engineering, Sales, and Support) to remove project bottlenecks. Risk Mitigation: Proactively identify and track dependencies; escalate and resolve risks before they impact delivery timelines. Solution Execution & Feedback Training & Enablement: Conduct product training and demonstrations for customers. Communicate system updates and releases, ensuring client enacts changes based on need and interest Expert Configuration: Execute complex, urgent, or low-frequency system changes. Rapidly address custom configuration needs to unblock customer growth or operational shifts. Quality Assurance: Perform hands-on testing of new releases (backend fixes, feature enhancements, and mobile app "smoke testing") Engineering Partnership: Collaborate directly with Engineering to troubleshoot complex issues, ensuring rapid resolution of mission-critical bugs. Desired Qualifications: Minimum of 5+ years experience working with large enterprises in one or more of the following roles:  B2B account management, solutions delivery, customer success, project management, or program management Solid project management skills and experience managing enterprise customer programs and agile cross functional account teams. Highly organized, detail-oriented with the ability to prioritize and respond quickly in an ever-changin

You will build data processing and analysis systems on some of the largest fleet and leasing businesses in Europe - companies including Arval BNP Paribas Group and KINTO by Toyota. Critical operational and financial decision making on these fleets is made every day by our data platform processing 12M+ events a day across 500K+ managed assets in 14+ countries. Our Engineering team owns the entire technical backend that powers this capability, running on top of Postgres, Trino, Parquet, Dagster, Superset, and more, and deployed anywhere from AWS to fully private clouds inside customers’ perimeters. Every day they collaborate to design new product features, and use help from AI coding harnesses to implement new product features, fix defects, refactor, re-engineer systems, and launch products. As a Data Engineer on our team, you will be given ownership of one or more disparate data systems and work to coral them into structured and coherent data warehouses. In addition, depending on your skill set, the team will look up to you as a specialist for help with creating machine learning models to better analyze business data and for help resolving difficult database performance and systems architecture issues. Why Ridecell Real ownership. You will own many data systems at the company. Real velocity. Ridecell powers enormous fleets but our company is a small team, you will never need to go through a 10-step approval process for anything. You can move fast based on your own understanding and the opportunities you see in front of you. Strategic accounts. You work on the data infrastructure powering category-defining European fleet and leasing customers, not generic mid-market deployments. Product influence. Depending on your skillset, the team will look up to you for leadership on data analysis problems. Requirements A degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field or equivalent experience. Minimum 2+ years of industry experience as a Software Engineer, Machine Learning Engineer, or Data Engineer. Proficiency in Python as well as SQL. Experience with data cleaning, data normalization, and database modeling. Excited about working for a startup and moving quickly. Ridecell culture is fast and results-oriented. Self-directed, but you also work well with other engineers; a team player, eager to collaborate across functions. French and English. The working language of all documentation and large meetings at Ridecell is English. Must be willing to work on-site or hybrid (at least 2 days a week on-site) from our office in Paris and/or Bordeaux. Must be able to legally live and work in France without employer sponsorship. Preferred Skills Technologies Statistical modelling tools (e.g., SAS, SPSS, R, PyMC3, Pyro, PyStan) Machine Learning (e.g., DNNs, Keras, XGBoost, MLops, etc.) Constraint Programming and Optimization modeling (e.g. MiniZinc, Gurobi, OR-Tools, SciPy, etc) Data engineering and processing frameworks (e.g. experience with some of Apache Airflow, Dagster, Prefect, dbt, PostgreSQL, Trino, Presto, Hadoop, Parquet, Clickhouse, Oracle, DataOps) Data visualization and BI (e.g. Tableau, Superset, PowerBI) Experience in extracting insights from large and complex data, mathematical modelling, statistical intuition, experiment design, causal inference, and machine learning algorithms. Experience with data cleaning, data normalization, multi-system data integration, and database modeling. Financial modeling (e.g., interest, insurance, leasing, risk modeling, portfolio balancing, accounting). Software UX Design, Software Product Design. Experience with data quality and governance: Implementing validation checks to ensure data accuracy, consistency, and security. Complying with data governance policies. Experience working directly with customers on-site. Fleet management, automotive, insurance, or finance industry experience. Location Bordeaux (Nouvelle-Aquitaine) or Paris (Île-de-France

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

Moving the world better – that’s the backbone of everything we do. At Ridecell, we pride ourselves on helping the largest fleets in the world digitally transform their business operations to achieve their goals, no matter how big or adventurous. Our fleet automation and mobility platform modernizes and monetizes fleets by combining real-time data insights with digital vehicle control that turns manual processes into automated workflows. Imagining a world where fleets fix and run themselves is no longer a concept – it’s a reality. The results? Unmatched efficiency, unparalleled control, and complete transparency for shared services, motorpool, rental and logistic fleets who rely on vehicles and drivers to move their business forward.  As a Solutions Support Engineer, you are the primary point of contact when Ridecell’s customers ask questions, report issues, and require product assistance. You will guide the customer through our defined resolution and escalation processes as well as advocate for their needs. You will develop a deep knowledge of their business model and how best to leverage Ridecell’s integrated platform and tools. You will collaborate with other Support, Engineering, Product, and Customer Success team members. Our Solutions Support Engineers get involved in several activities within pre-sales, from launch solution architecting and working with customer IT teams to facilitate technical integrations, to post-launch support.  You will follow a well-articulated process and data-driven metrics to help the business identify and remedy gaps in the platform support structure, identify bugs in the platform, and triage closely with the engineering teams for fixes. Help connect product capabilities, customer processes, and contractual outcomes (savings, operational KPIs) by deeply understanding how customers use the platform day‑to‑day. Responsibilities As a key member of the Solutions Support team, independently lead work streams like technical integration projects with customer/prospective IT teams Provide support on-site and/or remote pre and post deployment Work effectively as a cross-functional team member between Sales, Product, Engineering, Launch, Customer Success, and Solutions Support to ensure successful delivery on customer requirements and ultimately high levels of customer satisfaction Work closely with the sales team, to support pre-sales activities, including, customer demos and presentations highlighting our value proposition to help move opportunities through the sales funnel Triage, investigate, and resolve issues Work within customer IT and governance frameworks (security, data access, change management) when setting up integrations, pilots and troubleshooting issues. Develop product documentation knowledge base including Investigation Summaries, User Guides, Troubleshooting Steps, Training Materials, and FAQs Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences Position will require travel to customer and prospect locations Present the company's capabilities at a strategic level and be comfortable to brainstorm and discover potential solutions Setup pilots for customers Develop new tools for making demos more attractive and closer to customers' use cases Develop prototypes for integration with customers' existing infrastructure Requirements Prior Experience 2+ years of experience in solutions engineering, technical sales, technical support, consulting, or other customer-facing experience supporting sales of complex software and/or services to enterprises Experience using Python, Java, .Net, or experience with another object-oriented programming language with a willingness to learn Python is a plus Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations) Ability to evaluate, troubleshoot, and follow up on customer issues as well as replica