Lime

• Support the review and refinement of global compensation programs • Conduct equity benchmarking analyses • Design and maintain salary bands • Build and streamline compensation processes and tools • Monitor industry trends and best practices • Manage job architecture by aligning roles • Partner closely with HRIS to maintain data integrity

• Prepare and manage journal entries related to corporate fixed assets • Perform monthly account reconciliations and account flux analyses for fixed asset-related balances • Manage the accounting for capitalized landed costs associated with fixed assets • Review fixed asset activity for completeness and accuracy, and help resolve discrepancies in a timely manner • Support the maintenance and improvement of fixed asset accounting processes and internal controls • Collaborate cross-functionally with accounting and finance stakeholders to support accurate financial reporting • Assist with audit requests and other ad hoc analyses related to fixed assets and corporate accounting

• You’ll ship complex and detail-focused projects by collaborating with fellow Engineers, Product Managers, Designers, Data Scientists, and representatives from Support and Finance. • Build features at scale, shipping robust platforms that process millions of transactions. • Understand our customers’ success and the health of our systems through monitoring and data analytics. • Engage with world-class infrastructure and experiment with modern AI tools to multiply engineering effectiveness. • Grow via mentorship, collaboration, and learning activities. • Participate in the shaping of Lime's Engineering culture.

• Build Custom Tooling: Design and develop internal web applications that allow internal teams to access specific data sets and perform actions without requiring direct, elevated access to sensitive third party, and internal systems. • System Integration: Partner with the Data & Integrations team to architect and build connections between key business platforms, such as Snowflake, Zendesk, and Slack, to automate workflows and visualize trends for non-technical users. • Enhance Security: Champion a "least privilege" approach by building UIs that transform sensitive data into actionable insights, reducing the need for raw data access. • Drive Operational Efficiency: Collaborate with cross-functional teams, such as Customer Support, to identify manual pain points in their intake workflows and build custom tooling to close process gaps. • Operational Excellence: Participate in sprint planning and prioritization, ensuring high operational efficiency and team health while managing a backlog of feature requests. • Documentation: Develop and maintain comprehensive documentation for architecture, configurations, and runbooks.

• Facilitate core month-end and quarter-end close activities for revenue-related accounts and deliverables. • Prepare and review reconciliations, investigate variances, and resolve issues across revenue-related accounts and data flows. • Support external and statutory audits by preparing revenue data, cash receipt samples, Uber disbursement support, and other audit requests. • Partner with FinTech, RSL, and accounting teammates to investigate system issues and support timely resolution, including manual adjustments or topside entries when needed. • Assist with complex intercompany and cross-entity revenue-related entries and close issues. • Help validate data flowing through RSL, FAH, and downstream reporting / ERP environments and identify practical process improvements. • Support recurring journal entries and close tasks currently handled across the team, with capacity to broaden ownership over time. • Contribute to documentation, control improvements, and scalable processes that reduce manual effort and improve reliability.

Role Description Lime is hiring an Accounting Manager to join our EMEA Finance team! In this role, you will report into the EMEA Controller, Finance Director. You will be responsible for all aspects of accounting as well as driving data integrity and compliance. You will work side-by-side with the Tax team, the Shared Service Centre team, the US Corporate Accounting team, local financial service providers, and local Operations teams. We are looking for an Accounting professional who is excited about learning the micro-mobility business while building cross-functional relationships to help improve processes so we can continue to grow and scale our operations. This is a remote position in Italy with a preference for candidates residing in Rome and Milan to maintain effective collaboration across teams. What You’ll Do: - Act as the local controller for entities incorporated in Italy, Spain, and Portugal, owning the accuracy, integrity, and completeness of financial records and reporting. - Prepare in-house or coordinate with local service providers to prepare and file statutory financial statements and other accounting-related deliverables. - Play an active role in the statutory audit process, arranging planning meetings, identifying key stakeholders, defining milestones, and managing the overall timeline. - Drive FP&A activities as the primary finance partner for local stakeholders to support forecasting and providing insights into financial performance and key drivers. - Support continuous improvement initiatives to streamline accounting and reporting processes across regions. Qualifications - Bachelor’s Degree in Finance, Accounting and/or professional accounting qualification ACCA/CPA. - 6+ years of experience in accounting/finance, including experience as a local controller or similar leadership role. - Knowledge of Italian GAAPs and ability to apply these practically. Exposure to Spanish, Portuguese GAAP, and US GAAP is a plus. - Hands-on experience with external audits as well as building a strong control environment. - Proven FP&A experience as well as experience owning financials across multiple entities (Italy, Spain, Portugal preferred). - Strong project management skills; ability to effectively organize, prioritize, and manage projects and cross-functional teams. - Excellent business partnering skills, organizational skills, and attention to detail, with a desire for continuous growth and improvement. - Fluent communication skills in both Italian and English. Preferred Experience - Experience in an EMEA finance context, scale-up, or multinational environment is highly preferred. - Experience with Netsuite, Workiva, Coupa, and other cloud-based ERP solutions is a plus. Benefits - If you want to make an impact, Lime is the place for you. - Not sure if you meet all the qualifications? If this role excites you, we encourage you to apply. Company Description Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable, and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.

• ML Pipeline & Data Systems Development: Design, build, and maintain scalable pipelines that span data ingestion, annotation, validation, training, evaluation, and deployment, ensuring reproducibility, consistency, and traceability across the full ML lifecycle. • Data & Annotation Pipeline Integration: Build and integrate annotation workflows with upstream data ingestion and training systems, enabling efficient task creation, labeling, QA, and dataset updates that directly support model iteration. • Data-Centric Iteration: Analyze model performance and failures, and drive targeted data improvements by connecting production signals, data mining, and annotation workflows into continuous feedback loops. • Experimentation & Reproducibility: Implement systems for experiment tracking, dataset versioning, and model lineage to enable reliable comparison and iteration across experiments. • CI/CD for Machine Learning: Develop and maintain CI/CD workflows tailored to ML systems, enabling automated testing, validation, and deployment of models and pipelines. • Model Deployment Support: Collaborate with embedded and platform teams to support the deployment of models to edge environments, ensuring compatibility, performance, and reliability. • Monitoring & Feedback Loops: Implement monitoring, logging, and feedback systems to track model performance in production and drive continuous improvement through data and model iteration. • Compute Optimization: Optimize training and inference workflows across cloud environments, including efficient utilization of GPU and compute resources. • Cross-Functional Collaboration: Work closely with applied scientists, embedded engineers, and data teams to ensure alignment across data workflows, model development, and deployment systems. • End-to-End Contribution: Participate in and improve the full ML lifecycle, from raw data ingestion and annotation through training, evaluation, deployment support, and post-deployment analysis.

• Participate in the design, development, and operation of several key embedded software capabilities on the Lime vehicles and related products. • Be the voice of customers for engineering excellence within the team and influence team roadmap decisions. • Provide feedback in the peer review process and effectively communicate with technical leadership. • Own unique embedded software functions through design, implementation (in C, C++, RUST etc), testing, and integration in an embedded Linux or real-time operating system (RTOS) environment. • Learn and master multiple components including networking(LTE)/WiFi, motor control, Over-the-Air (OTA) software updates, and various sensors. • Write software to interact with devices/electronics using I2C, SPI, CAN, UART, etc. • Work closely with hardware teams to support board design, bring-up, and verification, as well as integration and testing during various phases of product development including proof of concept.

• ML Pipeline & Data Systems Development: Design, build, and maintain scalable pipelines that span data ingestion, annotation, validation, training, evaluation, and deployment, ensuring reproducibility, consistency, and traceability across the full ML lifecycle. • Data & Annotation Pipeline Integration: Build and integrate annotation workflows with upstream data ingestion and training systems, enabling efficient task creation, labeling, QA, and dataset updates that directly support model iteration. • Data-Centric Iteration: Analyze model performance and failures, and drive targeted data improvements by connecting production signals, data mining, and annotation workflows into continuous feedback loops. • Experimentation & Reproducibility: Implement systems for experiment tracking, dataset versioning, and model lineage to enable reliable comparison and iteration across experiments. • CI/CD for Machine Learning: Develop and maintain CI/CD workflows tailored to ML systems, enabling automated testing, validation, and deployment of models and pipelines. • Model Deployment Support: Collaborate with embedded and platform teams to support the deployment of models to edge environments, ensuring compatibility, performance, and reliability. • Monitoring & Feedback Loops: Implement monitoring, logging, and feedback systems to track model performance in production and drive continuous improvement through data and model iteration. • Compute Optimization: Optimize training and inference workflows across cloud environments, including efficient utilization of GPU and compute resources. • Cross-Functional Collaboration: Work closely with applied scientists, embedded engineers, and data teams to ensure alignment across data workflows, model development, and deployment systems. • End-to-End Contribution: Participate in and improve the full ML lifecycle, from raw data ingestion and annotation through training, evaluation, deployment support, and post-deployment analysis.

• Design, implement, and continuously improve a global trade compliance program aligned with high-growth, multi-market operations • Ensure compliance with import/export regulations across key regions (e.g., EU, US, APAC), including customs, sanctions, and export controls • Classify micromobility products (e-scooters, e-bikes, IoT devices, spare parts, and lithium-ion batteries) using HS codes and determine duties and tariffs • Oversee compliance related to the international movement of lithium-ion batteries, including hazardous materials (dangerous goods) regulations (IATA, IMDG, ADR) • Manage export control processes, including licensing requirements for embedded software, GPS/IoT components, and encryption technologies • Lead restricted party screening processes across suppliers, logistics partners, and customers • Partner closely with Supply Chain, Logistics, Hardware, Legal, and Operations teams to ensure compliant and efficient global distribution • Support market entry into new countries by assessing trade compliance requirements and regulatory barriers • Provide detailed analytics around business financial impacts for global duties and tariffs for financial planning and budgeting. • Manage Duty Drawback and Tariff refund processes. • Monitor global regulatory changes (e.g., sustainability rules, battery regulations, recycling directives) and advise on business impact • Conduct internal audits, risk assessments, and post-entry reviews; implement corrective actions where needed • Manage relationships with customs brokers, freight forwarders, and relevant government authorities • Set scalable methods for classification, compliance workflows, and audit readiness across key markets • Influence cross-functional decisions by translating regulatory requirements into clear business trade-offs (e.g., cost, speed, risk) • Lead investigations and resolution of compliance issues, disclosures, or audits • Develop and deliver training programs for internal stakeholders across global teams.