ecoATM Gazelle

• Partner with Product, Operations, Finance, and other business teams to answer high-impact business questions using data. • Translate ambiguous business problems into structured analytical approaches and actionable recommendations. • Develop KPIs, metrics, and performance measurement frameworks. • Present insights and recommendations to senior leadership in a clear, compelling manner. • Serve as a trusted analytical advisor to cross-functional stakeholders. • Design, execute, and analyze A/B tests and other experiments. • Evaluate product features using statistical techniques and causal inference. • Identify opportunities to improve customer engagement, conversion, retention, and operational efficiency. • Build measurement frameworks for new products and initiatives. • Develop predictive models, forecasting solutions, segmentation models, and optimization algorithms where appropriate. • Apply statistical and machine learning techniques to solve business problems. • Collaborate with engineering teams to deploy analytical solutions into production when needed. • Evaluate model performance and communicate trade-offs to business stakeholders. • Write complex SQL queries against large-scale datasets. • Design, build, and maintain executive dashboards, reports, and self-service analytics. • Develop reliable ETL/ELT pipelines that support reporting and analytical workflows. • Improve data quality, documentation, and metric consistency across the organization. • Help establish best practices for analytics engineering and reporting.

• Serve as the organization's go-to expert on applied AI for finance, accounting, and operations. • Own the rollout of Claude Essentials across the team — deliver intro and advanced workflow training, office hours, and certification of core skills. • Build reusable prompt libraries, playbooks, and templates so AI use is consistent, effective, and easy to adopt. • Establish responsible-AI guardrails, review practices, and documentation so outputs are accurate, auditable, and control-compliant. • Identify high-value automation opportunities and build Claude and other AI-native workflows across close, AP, reconciliations, reporting, and audit support. • Reduce manual, rules-based effort while preserving data integrity and internal controls. • Extend AI-native workflows into kiosk cash reconciliation — automate cash reconciliation across a ~7,300-kiosk fleet (growing to ~8,000), surfacing variances and exceptions for review. • Support inventory management — device and parts tracking, valuation, and shrink/variance analysis across the network. • Streamline fixed-asset and kiosk-fleet accounting — additions, transfers, retirements, and depreciation across a large, distributed asset base. • Support and enhance financial and operational modeling and forecasting with AI — scenario analysis, variance decomposition, and driver-based projections. • Improve the speed and quality of management reporting and analytics used by leadership. • Act as an internal consultant to Accounting, FP&A, Treasury, Tax, and Operations on where AI can add measurable value. • Track and report adoption, time savings, and ROI from deployed workflows.

• Lead full-lifecycle Salesforce implementations, including requirements gathering, solution design, configuration, testing, and go-live support • Configure and optimize SFDC objects, workflows, validation rules, page layouts, reports, and dashboards to meet evolving business needs • Drive enterprise-wide CRM strategy and roadmap, ensuring alignment with business goals and customer experience objectives • Oversee migrations, consolidations, and enhancements to CRM systems, ensuring data integrity and minimal disruption to operations • Lead project planning and delivery for complex, multi-stakeholder implementation initiatives using structured project management methodologies (Agile, Scrum, or Waterfall as appropriate)

• Lead and scale a high-performing engineering organization across software, platform engineering, QA, DevOps, architecture, and enterprise systems. • Build a culture centered around engineering excellence, accountability, innovation, experimentation, and continuous improvement. • Drive organizational transformation toward AI-assisted engineering workflows and modern software delivery practices. • Establish strong leadership development, succession planning, coaching, and talent management programs. • Recruit and retain top-tier engineering talent capable of operating in fast-paced, high-scale environments. • Create high talent-density engineering teams with clear ownership, accountability, and measurable outcomes. • Lead adoption of AI-native engineering practices across the SDLC including AI-assisted coding, testing, observability, documentation, and operational automation. • Drive engineering productivity improvements through modern developer tooling, automation frameworks, platform engineering, and generative AI workflows. • Partner with Product, Data, and ML teams to operationalize AI and machine learning capabilities into customer-facing and operational platforms. • Establish governance, standards, and security practices for responsible AI adoption across engineering. • Evaluate emerging technologies, AI frameworks, and modern architectures to accelerate innovation and business impact. • Partner with the CDTO to define and execute the long-term technology vision and engineering roadmap. • Lead modernization initiatives to simplify legacy systems, reduce technical debt, improve resiliency, and increase engineering velocity. • Drive migration toward modular, service-oriented, API-first, and cloud-native architectures. • Provide technical oversight across distributed systems, cloud infrastructure, backend services, frontend applications, and embedded kiosk technologies. • Champion scalable, secure, resilient, and observable engineering patterns across all platforms. • Support international expansion and future platform scalability through strong architecture governance. • Own end-to-end engineering delivery from architecture and development through testing, deployment, monitoring, and operational support. • Establish engineering operating metrics including DORA metrics, release quality, deployment frequency, MTTR, reliability, and developer productivity. • Improve software delivery velocity while maintaining strong standards for quality, security, and resiliency. • Drive operational excellence through automation, observability, SRE practices, CI/CD, and platform standardization. • Partner closely with Product, UX, Data, Security, Operations, Finance, and executive leadership teams.

• Design and evolve scalable, highly available database architectures for transactional and analytical systems. • Define long-term‑ data storage, access, and modeling strategies aligned with business growth. • Lead evaluations of new database technologies, patterns, and cloud capabilities. • Diagnose complex database performance issues and design solutions involving schema design, indexing strategies, query optimization, caching, and architectural refactoring. • Conduct end-to-end tuning of ‑high-volume‑ workloads across services and data flows. • Establish performance baselines, monitoring standards, and proactive optimization strategies. • Own the reliability and scalability posture of database systems across multiple products and services. • Define and implement robust backup, restoration, high availability, and ‑disaster recovery‑ strategies. • Partner with SRE and platform teams to improve observability, automation, and operational efficiency. • Ensure compliance with data governance practices, security standards, and audit requirements. • Implement and maintain access control strategies, encryption policies, and data integrity safeguards. • Establish data modeling standards and best practices for teams across the organization. • Lead architectural discussions, design reviews, and technical decision-making across engineering teams. • Guide teams through modernization efforts such as migrations, schema redesigns, and system decompositions. • Mentor engineers of all levels and elevate database excellence across the organization. • Develop automation for deployment, maintenance, provisioning, and operational workflows. • Build internal tools that improve developer experience, reduce manual DBA workload, and standardize processes.

• Lead balance sheet forecasting and monthly variance analysis, with depth in working capital, accrued liabilities, deferred revenue, and debt; communicate root-cause drivers clearly to senior leadership and maintain rolling forecasts that reflect current business conditions. • Serve as the day-to-day steward of the company's 5+ year long-term integrated financial model, maintaining assumptions, incorporating actuals, and providing scenario-ready outputs to inform annual planning and long-range strategy under the direction of the VP, FP&A. • Own the thirteen-week direct cash flow forecast; produce weekly updates with variance explanations and forward-looking commentary, monitor covenant compliance, and flag liquidity risks with sufficient lead time for management action. • Produce monthly, quarterly, and annual management and ownership reporting packages, including board, executive, and sponsor materials, with clear KPI dashboards, variance narratives, and financial commentary; serve as a key finance partner to the VP, FP&A and CFO on ad hoc analyses and strategic initiatives. • Serve as the primary FP&A liaison to Accounting, ensuring alignment on close processes, accrual methodology, and balance sheet movements; maintain working knowledge of GAAP as it applies to balance sheet forecasting, including inventory valuation, Kiosk CapEx and depreciation, and how P&L activity flows through to balance sheet positions. • Partner cross-functionally with Sales, Operations, Accounting, and business unit leaders to gather inputs and validate assumptions; drive continuous improvement in forecasting accuracy and reporting efficiency.

• Directly manage and develop two Senior Accountants—one focused on fixed assets and parts inventory, and one focused on prepaid expenses and monthly accruals—providing hands-on coaching, workload oversight, review of work product, and ongoing performance feedback • Oversee and improve the fixed asset accounting process, including internally developed software, construction-in-progress (CIP), asset additions and disposals, depreciation, and fixed asset roll-forward (RF) reporting; lead efforts to reduce manual processing in Oracle and build more efficient, controlled workflows • Partner with business Operations to improve the parts inventory accounting process end-to-end, identifying pain points, aligning on controls, and driving cross-functional solutions that reduce manual effort and improve accuracy • Oversee prepaid expense schedules and monthly accruals, ensuring completeness, accuracy, and proper amortization across the close cycle; review and approve journal entries and reconciliations prepared by the Senior Accountant • Serve as the primary accounting liaison to FP&A and business partners—explaining actuals-versus-forecast variances and aligning on accrual estimates, invoice timing, accrual methodology, and forecast inputs each period to ensure the accounting close reflects business activity accurately • Own and manage the monthly financial close for areas within scope, including close calendar adherence, journal entry review, and balance sheet reconciliation sign-off across fixed assets, prepaid expenses, and accrued liabilities • Support business initiatives and cross-functional projects that intersect with general ledger accounting, bringing accounting expertise to operational decisions and system changes • Lead the integration of Canadian operations into the team’s scope as ecoATM grows, working with both Senior Accountants to transition CAD close activities in a controlled, well-documented manner • Support external audit coordination for areas within scope, including preparation of audit schedules, resolution of auditor inquiries, and maintenance of accounting policy documentation • Additional responsibilities and ad hoc projects may be assigned as business needs evolve, and the scope of this role expands

• Lead end-to-end delivery of Oracle EBS initiatives including upgrades, process improvements, integrations, and operational enhancements • Drive functional delivery across Inventory, Order Management, Purchasing, AP/AR/GL, Subledger Accounting (SLA), and Cost Management modules • Support ERP modernization and simplification initiatives to improve scalability, maintainability, and operational efficiency • Partner with Finance and Accounting teams to improve close processes, inventory controls, audit readiness, and financial reporting accuracy • Support long-term Oracle Cloud / Fusion migration readiness and enterprise application transformation planning • Oversee enterprise structure alignment including multi-org, multi-region, and multi-currency operational models • Lead warehouse and operational systems initiatives supporting receiving, grading, refurbishment, fulfillment, inventory management, and logistics operations • Drive delivery and integration initiatives across Deposco WMS, operational processing systems, Oracle ERP, and third-party logistics platforms • Partner with operational stakeholders to improve process standardization and reduce operational complexity across supply chain platforms • Lead enterprise application integration delivery across ERP, WMS, operational systems, kiosk platforms, and reporting environments • Oversee data migration, cutover planning, and release coordination for large-scale system implementations and upgrades • Establish and maintain enterprise application governance processes including change management, release controls, documentation standards, and operational support frameworks.

• Serve as the Sales groups internal product owner of Salesforce by maintaining accounts, kiosk locations, opportunities, and pipeline with rigorous data hygiene and standards enforcement. • Own ecoATM's weekly pipeline forecast process — producing the single executable forecast used by Sales, Compliance, and Kiosk Operations to plan and prioritize. • Own the end-to-end administrative work of standing up new retail and mall partners and activating new kiosk sites within existing partner locations — from contract intake to system readiness. • Build and maintain executive-ready dashboards and reports that give leadership and the sales team real-time visibility into pipeline health, kiosk deployment status, and partner performance. • Identify opportunities to automate or streamline manual data workflows and advocate for the right solutions. • Proactively surface forecast risks and deployment bottlenecks; bring recommendations — not just observations — to leadership.

• Own day-to-day updates across Shopify sites for both ecoATM and Gazelle • Build and launch pages using PageFly (or another app of your choosing) • Translate Figma designs into live web experiences in our CMS (QA → production) • QA your own work to ensure accuracy, performance, and a seamless user experience • Troubleshoot issues independently and partner with engineering when needed • Create and iterate on landing pages for paid and organic campaigns across both brands • Collaborate with marketing stakeholders to bring campaigns to life quickly • Continuously refine user flows to improve conversion and engagement • Develop wireframes for marketing campaigns • Build best practice playbook for UX optimized asset implementation • Support and grow into ownership of A/B testing using Optimizely • Partner with marketing and UX to develop hypotheses and test ideas • Set up, launch, and monitor experiments end-to-end • Analyze results and clearly communicate what worked, what didn’t, and why • Identify ongoing opportunities to improve conversion rate and site performance • Work closely with Marketing, Product, UX/UI, and Engineering teams, bridging communications as it relates to the sites • Coordinate with external agencies to ensure Google Analytics tracking and tagging are properly implemented • Help manage the process of pushing updates from QA to production smoothly and efficiently.