• Drive measurable business impact across H.I.G. Capital’s portfolio companies through AI-powered automation. • Evaluate and select third-party AI platforms and vertical SaaS tools. • Lead end-to-end implementation; configure workflows, integrate with existing enterprise systems. • Define baselines and success metrics before every deployment. • Train portfolio company teams on deployed solutions to enable independent operation.

• Develop modern web widgets with Angular for our frontend • Design and implement APIs based on OpenAPI • Optimize our Market Engine backend built in Java • Implement automated end-to-end tests • Define infrastructure as code using AWS and CDK • Work according to DevOps principles • Build and operate serverless applications within AWS • Support new product directions in the ImmoConnect environment

• Develop and operate production-ready AI and ML applications for products, platforms, and internal workflows • Design and implement solutions using LLMs, RAG, and Graph-RAG systems • Build robust backend services, APIs, and data pipelines • Establish MLOps and LLMOps practices • Monitor and optimize model and data quality

• 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.