ABOUT SLATE
At Slate, we’re building safe, reliable vehicles that people can afford, personalize and love—and doing it here in the USA as part of our commitment to reindustrialization. The spirit of DIY and customization runs throughout every element of a Slate, because people should have control over how their trucks look, feel, and represent them.
WHO WE ARE LOOKING FOR
The Finance Analytics & AI Engineer is a senior individual contributor role based on the Commercial FP&A team, with scope to support the broader Finance organization. This role is the foundational technical hire responsible for architecting and building the reporting analytics and AI-driven automation that powers commercial decision making.
A defining feature of this role is helping carry Finance reporting and analytics through Slate’s planned ERP migration from NetSuite to future-slate ERP platform (targeted for early 2027), ensuring data models, pipelines, and reporting remain stable and accurate across the transition. In the near term, NetSuite remains the system of record while future-slate ERP solution is implemented, so you should be comfortable building on NetSuite today and designing for portability to future-slate ERP solution.
WHAT YOU GET TO DO
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 environment (NetSuite today, migrating to future-slate ERP platform 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
WHAT YOU BRING
We are seeking a highly technical, product-minded senior individual contributor who can bridge finance, data engineering, and AI. This person will be foundational in building Slate’s next-generation Finance function.
8+ years in FP&A, Business Intelligence, Data Analytics, or related fields — or equivalent demonstrated capability across FP&A, data engineering, and AI
Strong finance acumen (P&L, gross margin, unit economics, forecasting)
Advanced expertise in BI tools (Tableau, Power BI, Looker, etc.)
Experience working with ERP/EPM systems (NetSuite and Adaptive Planning preferred)
Strong SQL and data modeling capabilities
Experience building data pipelines and working with data warehouses/lakes
Familiarity with Python or similar for analytics and automation
Experience integrating multiple data sources into a unified reporting layer
AI & Automation Experience (Required)
Demonstrated hands-on experience building and deploying AI/ML models, agents, and analytics workflows in production (not experimental or coursework only)
Working proficiency with LLMs and agent-based architectures
Experience using AI tools to automate reporting, forecasting, or analysis
Strong interest in building AI-driven finance capabilities from the ground up
Mindset
Builder mentality: thrives in ambiguous, fast-moving environments
Highly analytical with strong attention to detail
Strong communicator who can translate data into business insights
Operates with urgency and a bias toward action
WHY JOIN TEAM SLATE?
At Slate, we’re fueled by grit, determination, and attention to detail. The start-up spirit of ingenuity and resourcefulness move our business forward. Team Slate fosters a culture of excellence, innovation, and mutual respect, and is motivated by shared principles.
Safety First
Delight Customers
One Team
Relentless Improvement
Fast, Frugal, and Scrappy
Respectful Collaboration
Positive Legacy
WE WANT TO WORK WITH PEOPLE THAT REFLECT THE COMMUNITIES IN WHICH WE OPERATE.
Slate is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.
is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at
[email protected].
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