• 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

Role Description We are seeking a highly capable Mid-Level Zoho and AI Automation Specialist to take ownership of our Zoho One ecosystem and help systemise, automate, and scale operational workflows across the business. This role is focused on creating a centralised operational environment using Zoho One as the core business platform, while integrating AI-assisted workflows and modern automation tools such as n8n, ChatGPT, Claude, Microsoft 365, and SharePoint. You will work closely with leadership to design and implement operational automations based on clearly defined business requirements and workflows. The role will involve translating operational processes into scalable systems that reduce manual administration, improve visibility, and ensure consistency across departments. The ideal candidate will be a strong Zoho expert first, with practical experience building no-code and low-code automations, as well as integrating multiple business systems together. This is a full-time, long-term role requiring strong communication, process-thinking, problem-solving, and operational awareness. Key Responsibilities - Zoho One System Ownership - Manage, configure, and optimise the Zoho One ecosystem across the business. - Ensure Zoho operates as the single source of truth across operational workflows. - Build and maintain scalable processes within the following Zoho applications: - Zoho CRM - Zoho Projects - Zoho Flow - Zoho Analytics - Zoho Desk - Zoho Sign - Zoho People - Zoho Recruit - Zoho Vault - Zoho CPQ - Create structured workflows for sales, onboarding, account management, service delivery, finance, operations, HR, and management reporting. - Maintain clean operational structures, permissions, pipelines, and automation logic. - Workflow Automation and Process Engineering - Build and maintain automated workflows that reduce manual administration and remove reliance on memory-based task management. - Create automation systems that automatically: - Generate tasks - Assign responsibilities - Track due dates - Trigger notifications - Escalate overdue actions - Send automated communications - Translate operational requirements into scalable automation logic. - Improve workflow visibility across departments. - Ensure operational processes run consistently, regardless of the team member involved. - Optimise and simplify existing workflows where possible. - AI and Intelligent Automation - Implement AI-assisted operational workflows using tools such as ChatGPT and Claude. - Assist in designing AI-supported business processes based on leadership requirements and operational goals. - Build intelligent automations using platforms such as: - n8n - Zoho Flow - Zapier - Create AI-assisted workflows for: - Task generation - Communication drafting - Workflow routing - Operational assistance - Internal productivity improvements - Assist with integrating AI capabilities into existing operational systems. - Continuously research and identify opportunities where AI and automation can improve operational efficiency. - Microsoft 365 and System Integrations - Configure and maintain integrations between Zoho and external systems, including: - Microsoft 365 - SharePoint - Microsoft Teams - Business WhatsApp platforms - Ensure data consistency between systems. - Build and maintain webhook, API, and automation-based integrations where required. - Troubleshoot integration failures and workflow issues. - Assist with centralising communication and operational visibility across platforms. - Reporting, Visibility and Operational Support - Build dashboards and reporting systems for leadership visibility. - Create operational KPI tracking and workflow reporting. - Assist with automation-based reporting and notifications. - Support departments with process improvements and operational efficiencies. - Ensure operational data remains accurate, organised, and visible. Qualifications - 3+ years’ proven experience working within Zoho ecosystems, workflow automation, business systems, or operational automation roles. - Strong hands-on experience with Zoho One applications, particularly Zoho CRM, Zoho Projects, Zoho Flow, Zoho Analytics, and Zoho Desk. - Experience building automations using no-code or low-code platforms such as n8n, Zoho Flow, Zapier, or similar tools. - Practical understanding of AI tools such as ChatGPT and Claude, including how they can support business operations and workflow automation. - Experience integrating multiple business systems and platforms. - Familiarity with Microsoft 365, SharePoint, Teams, and related integrations. - Comfortable working with APIs, webhooks, triggers, and automation logic. - Strong operational and process-thinking mindset, with the ability to understand business workflows and convert them into scalable systems. - Strong troubleshooting and problem-solving skills across automations, integrations, and operational workflows. - Good written and verbal communication skills, with the ability to work closely with leadership and operational teams. - Strong organisational skills, attention to detail, and structured thinking. Requirements - Experience with n8n self-hosted environments. - Familiarity with basic scripting or logic-based automation concepts. - Understanding of CRM architecture and operational design. - Experience working with operational reporting and KPI dashboards. - Knowledge of business process mapping and documentation. - Familiarity with WhatsApp integrations and communication automation. - Experience working within agencies or operationally complex businesses. - Exposure to AI-assisted productivity systems and workflow optimisation. - Basic understanding of SQL, databases, or API authentication methods. - Understanding of scalability, automation governance, and operational standardisation. Working Expectations - Full-time role, 40 hours per week. - UK business hour overlap required. - Long-term position with ongoing operational ownership responsibilities. - Work closely with leadership to implement and improve operational systems. - Maintain high responsiveness and accountability across projects and workflow implementations.

Role Description As an AI Engineer at OneMagnify, you’ll focus on making machine learning and generative AI systems reliable, scalable, and production‑ready for real client use. You’ll sit within our AI team and work closely with data scientists, engineers, and delivery partners to operationalize models across digital, analytics, and marketing platforms. This role is designed for someone with professional experience who enjoys hands‑on engineering work and wants to deepen their impact at the intersection of AI, infrastructure, and real‑world business outcomes. The Impact You’ll Have - Help clients move AI from proof‑of‑concept to production. - Ensure machine learning and generative AI models are deployable, observable, and continuously improving. - Collaborate across data science, engineering, strategy, and analytics teams to embed MLOps practices into broader CRM programs, digital platforms, and marketing ecosystems. What You’ll Do - Build and Maintain Production ML/AI Pipelines - Design and maintain production ML and AI pipelines, including training, evaluation, deployment, and monitoring. - Create data pipelines and prepare datasets for AI consumption. - Develop scalable model serving architectures for real‑time and batch inference. - Ensure AI and LLM systems are production‑ready, stable, and performant. - Apply MLOps Best Practices - Implement experiment tracking, model versioning, and reproducible training workflows. - Establish processes for continuous evaluation and improvement of machine learning and generative AI systems. - Support reliable lifecycle management of models from experimentation through deployment and iteration. - Monitor, Observe, and Improve Models in Production - Build and maintain monitoring systems to detect data drift, performance degradation, and operational issues. - Use evaluation frameworks and monitoring signals to guide model improvements over time. - Help teams respond to production issues with clear diagnostics and remediation approaches. - Be a Trusted Technical Partner to Clients - Work directly with clients to explain AI concepts, tradeoffs, and outcomes in clear, practical terms. - Contribute to strong client relationships through thoughtful solutioning and consistent delivery. - Present technical approaches and results to both technical and non-technical stakeholders. - Collaborate Across Integrated Teams - Work closely with data scientists and AI engineers to operationalize models effectively. - Partner with software engineers to ensure smooth deployment and integration into client platforms. - Collaborate with analytics, strategy, and delivery teams to align MLOps solutions with client objectives. - Support Client-Facing Delivery - Contribute to client discussions by explaining MLOps approaches, tradeoffs, and outcomes in practical terms. - Help translate client requirements into operational AI solutions that can scale and evolve. - Support consistent, high‑quality delivery across multiple client engagements. Qualifications - Bachelor’s degree in a relevant field or equivalent practical experience; Master’s degree preferred. - 2+ years in a technical role focused on machine learning, data platforms, or AI systems (2+ years post‑Master’s if applicable). - Hands-on experience deploying and operating machine learning or generative AI models in production environments. - Strong understanding of MLOps practices, including experiment tracking, model versioning, and monitoring. - Experience building data and model pipelines in distributed environments. - Familiarity with model evaluation frameworks and performance monitoring techniques. - Exposure to large language models and applied AI use cases. - Strong object-oriented programming skills. - Working knowledge of Databricks. - Proficiency with Python, SQL, and related analytics or engineering tools; familiarity with BI tools such as Tableau, Power BI, or Domo is a plus. - Experience owning or leading technical workstreams in collaborative environments. - Clear communication skills, including the ability to explain technical concepts to non‑technical stakeholders. - Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred. Future‑Ready Skills (Nice to Have) - Experience operationalizing generative AI or LLM‑based systems in client-facing or production environments. - Familiarity with marketing technology stacks, CRM platforms, or customer data platforms. - Exposure to automation, CI/CD for ML, or model orchestration workflows. - Experience supporting platform‑based or reusable delivery models across clients. - Comfort working in environments where AI systems support business and customer experience outcomes. Benefits - Medical, dental, and vision coverage. - 401(k) retirement plan. - Paid holidays. - Flexible Time Off (FTO) to recharge when needed. - Additional programs focused on wellness, financial security, and professional growth. Company Description We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.