Slate Auto

Software Engineer

• Own the Integration Roadmap: Lead the product roadmap for engineering systems integration across PLM, ERP, and MES, from item master and BOM transfer through routings, effectivity, and the change workflows that orchestrate them.
• Design the Change Processes: Define Slate’s engineering and manufacturing change processes end to end, including ECR, ECO, MCO, deviation and waiver workflows, effectivity strategies, and phase-in and phase-out coordination.
• Lead the BOM Strategy: Own the EBOM-to-MBOM transition, including how engineering bills of material translate into manufacturing bills of material, how routings are derived, and how variants and options propagate through the platform.
• Partner with the PLM Team: Be the primary product partner to the PLM team on the engineering side and the ERP and MES teams on the operations side, translating engineering intent into platform behavior and platform constraints into engineering implications.
• Partner with Program Management: Work closely with program management on the cadence of engineering and manufacturing changes, ensuring change processes match the speed Slate needs to iterate without sacrificing traceability or producibility.
• Drive Product Discovery: Live with the engineers, planners, and operators who use these systems, surface the friction in the current workflows, and translate it into a backlog of high-leverage improvements.
• Deliver End to End: Own the product from discovery through configuration, testing, training, cutover, and steady-state operation, working hands-on with developers, configurators, and business users to ship results.

Engineering Systems Product Manager

AI Engineer

• Own the Finance Data & Intelligence Layer
• Architect and scale Slate’s Finance reporting and analytics ecosystem across all Finance functions — including Commercial and Corporate FP&A, Accounting/Controllership, Treasury, and Procurement — as well as partner organizations such as Product Development
• Design and maintain robust data models that integrate the ERP (NetSuite today, migrating to SAP by early 2027), EPM (Adaptive Planning), and operational systems
• Build scalable data pipelines and layers to enable self-service analytics through AI agents
• Lead Finance AI & Automation Strategy
• Define and execute Slate’s Finance AI roadmap, including: AI-powered variance analysis (PVM, BvA/FvA), Automated forecast updates and anomaly detection, Inventory optimization, Natural language query tools for business users
• Build and deploy AI agents that: Connect to finance and operational datasets, Enable leaders to query performance (e.g., SKU-level GM trends, pricing impacts), Automate recurring Finance workflows
• Build Best-in-Class Dashboards & Reporting
• Develop executive-ready dashboards and reporting across: Gross margin by product, channel and unit economics, Opex & Capex forecasting & actuals reporting, Sales, inventory, and take rate analyses, Plant KPI reporting (manufacturing cost, throughput, and operational performance), Business performance dashboard consolidating company-wide financial and operational KPIs for leadership, Sales KPI tracking (bookings, deliveries, and channel performance)
• Partner Finance and Commercial stakeholders to standardize KPIs and reporting definitions
• Deliver real-time insights for leadership (including Board-level materials)
• Drive Advanced Analytics & Decision Support
• Develop models for: Pricing optimization and margin expansion, Demand forecasting and inventory planning, Scenario modeling and long-range planning
• Enable a Self-Service Data Culture
• Build tools that allow non-finance stakeholders to access and interpret financial data
• Implement data governance and output validation into AI models
• Train business partners on dashboards, tools, and AI capabilities
• Reduce manual reporting and elevate the organization toward real-time, insight-driven decision making.

Engineering Systems Product Manager

Finance Analytics, AI Engineer