• 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.

Role Description We are looking for an AI Automation Engineer (Remotely) with strong experience in building and integrating automation systems using n8n, APIs, and AI technologies. The ideal candidate will be responsible for designing and implementing intelligent automation workflows that connect CRM systems, WhatsApp, email, and internal tools using APIs and AI agents. - Build and manage automation workflows using n8n - Integrate and connect multiple APIs across different systems - Develop AI agents using models such as OpenAI / GPT - Automate business processes (CRM, WhatsApp, email, calls) - Design and implement webhooks and triggers - Improve and optimize existing automation workflows - Handle JSON data and API responses efficiently - Create smart automation solutions to reduce manual work Qualifications - Strong experience with n8n and automation tools - Solid understanding of REST APIs - Experience with JavaScript / Node.js - Familiarity with OpenAI / AI models - Strong knowledge of modern AI tools such as: ChatGPT, Claude, Manus, Gemini, etc. - Knowledge of webhooks and system integrations - Understanding of automation architecture - Ability to convert business processes into workflows