Jedox

• Manage the implementation of Jedox projects for key accounts, ensuring they are completed successfully and on time. • Act as the central point of contact for clients, internal teams (including R&D) and executive stakeholders to foster strong collaboration across our #OneTeam environment. • Oversee all phases of the project, from gathering requirements and planning to execution, monitoring and delivery. • Ensure quality delivery by maintaining clear project documentation and aligning with Jedox standards. • Organise resources effectively. Manage resources effectively. Ensure projects stay on track. Keep track of time. Keep track of budget. Keep track of scope. • Ensure delivery excellence by proactively detecting project risks and implementing mitigation strategies. • Monitor milestones and provide regular status updates to stakeholders and executive management. • Improve Jedox products and services by providing feedback from customer projects, thereby contributing to innovation and impactful results. • Support additional project initiatives as required within your area of expertise.

• Define and execute a company-wide AI strategy that ensures alignment between business objectives and technological innovation. • Spearhead transformational projects and deliver quantifiable value through AI across the organization. • Identify and prioritize high-impact AI use cases to reduce manual work and improve quality. • Ensure that AI initiatives translate into tangible outcomes such as productivity gains and cost efficiencies. • Create reusable AI tools to enable scalable adoption. • Lead an AI governance forum to prioritize use cases and manage resources. • Operationalize AI and integrate it into workflows. • Collaborate with HR and leadership for fostering AI literacy across the organization. • Measure metrics such as adoption and productivity uplift. • Ensure secure and responsible AI adoption by working closely with legal and data protection teams.

• You are responsible for operational order processing and ensure that orders, contracts and billing are handled correctly, on time and with a customer-focused approach. • Order and contract management: entering, validating and maintaining orders as well as purchase and contract data in the system • Renewal management: independently handling maintenance and contract renewals, including scheduling and data verification • License and billing processing: creating and sending software license keys and preparing invoices for new and existing customers • Contract inquiries: responding to questions about existing contracts and resolving customer concerns • Central interface function: primary point of contact for customers and internal teams, domestically and internationally, regarding order processing • Collections support: assisting with the resolution of overdue customer receivables in collaboration with Finance • Consulting and training billing: invoicing consulting days and training sessions • Commission billing: preparing and reviewing commission credit notes together with Sales • Master data maintenance: maintaining and continuously updating customer master data • Adherence to deadlines and processes: ensuring compliance with defined deadlines and internal team processes

• As a Data engineer, you will be responsible for designing, developing and operating our enterprise data platform. • Your role will involve ensuring that data is integrated, governed and AI-ready, thereby creating the backbone for all intelligent applications and insights across the business. • Design and own the enterprise data platform: Build a scalable Microsoft Fabric data infrastructure using a medallion lakehouse architecture (Bronze, Silver or Gold) with Delta Lake. • Develop and operate data pipelines: Create robust batch and streaming ETL/ELT pipelines with schema evolution, automated transformation and strong data quality validation. • Integrate enterprise systems: Connect to data sources such as SharePoint, Salesforce, Microsoft 365, Azure SQL, ERP/CRM systems, file repositories and REST APIs. • Ensure performance and reliability: Optimize storage and processing across structured and unstructured data, including monitoring, alerting, and operational stability. • Build semantic data layers & governance: Establish a taxonomy and metadata standards, as well as semantic models and data cataloguing and lineage tracking. • Enforce access control, compliance and security. • Drive AI readiness: Prepare data for AI use cases through document chunking, embedding pipelines, and vector-ready datasets for RAG. • Expose knowledge services & collaborate: Develop reusable APIs and data services for AI applications and work cross-functionally with AI, analytics, and business teams (#OneTeam).

• Design and operate AI platforms: Build and manage the enterprise AI platform, integrating multiple LLM providers with routing, fallback strategies and cost control. • Develop reusable AI services: Develop scalable APIs and services to support agents, copilots and business applications throughout the organisation. • Build intelligent agents and workflows: Design autonomous and multi-agent systems capable of reasoning, planning and executing complex business processes. • Enable enterprise integrations: Drive end-to-end automation by connecting AI solutions to enterprise platforms such as Microsoft 365, SharePoint, Salesforce and Jedox. • Implement RAG architectures: Develop advanced retrieval systems using hybrid search, vector databases and semantic indexing to ensure accurate, grounded outputs. • Optimize AI performance: Ensure high system reliability while monitoring and improving latency, cost efficiency and inference performance. • Establish evaluation frameworks: Define metrics and testing strategies to ensure the accuracy of the AI, detect hallucinations, and evaluate its overall quality. • Ensure AI safety and governance: Maintain compliance and trustworthiness by implementing guardrails, monitoring systems and governance frameworks. • Manage AI lifecycle: Oversee prompt versioning, model management and CI/CD pipelines to maintain robust production deployments.

• Manage the end-to-end sales cycle: Generate revenue by adopting a value-selling approach throughout the process, from initial engagement to closing enterprise-level deals. • Communicate the value of Jedox: Demonstrate how Jedox empowers xP&A projects and elevates planning, forecasting and business decisions. • Inspire digital transformation: Engage prospects by presenting a clear and compelling vision of digitisation and integrated business planning. • Develop strategic sales plans: Identify, prospect and execute targeted sales activities to win large enterprise customers. • Cross‑Functional Collaboration: Acquire new customers by working closely with the pre-sales, channel management, marketing and business development teams. • Own forecasting and pipeline management: Maintain accurate monthly and quarterly forecasts as well as pipeline reports, and play an active role in prospecting activities. • Build lasting relationships: Build trusted partnerships with customers, partners and internal stakeholders to ensure long-term success.

• As a Solution Advisory Consultant (m/f/d) on the DACH team, you act as the specialist bridge between our customers and the Jedox platform. • Your focus is on Financial Consolidation, Group Reporting and Disclosure, combined with classic FP&A topics. • In close collaboration with Sales, you accompany customers from first contact through to contract close and position Jedox as a strategic, holistic finance platform. • In this role you help finance and controlling organizations understand their functional challenges and design future-ready solutions. • You connect consolidation and planning requirements, translate complex finance processes into compelling use cases, and deliver real value for our customers. • First-hand understanding of financial challenges: Analyze requirements from finance and controlling teams, especially in financial consolidation, group reporting, and disclosure, and map them to the Jedox platform. • Connecting FinCon and FP&A holistically: Demonstrate the added value of an integrated platform by linking consolidation, reporting and planning processes. • Presenting Jedox convincingly: Run client meetings, demos, webinars and event presentations – tailored to the audience from controller to CFO. • Making use cases tangible: Guide customers through typical financial scenarios such as consolidation, planning and reporting, positioning Jedox as a strategic solution. • Assessing and classifying requirements: Provide initial feasibility and effort estimates in close coordination with consulting. • Developing prototypes and POCs: Design and present solutions that address both consolidation and planning requirements. • Supporting sales processes end-to-end: Provide expert-technical support throughout the entire sales cycle. • Facilitating workshops: Plan, run and moderate customer workshops to capture requirements and define solutions. • Collaborating cross-functionally: Work closely with sales, consulting and product management to ensure a consistent, high-quality customer approach.

• As an AI & Automation Cloud Infrastructure Engineer, you will shape and constantly develop Jedox's in-house AI cloud platform, allowing expandable, protected, and automated AI, ML, and GenAI workloads. • This highly technical role involves designing, building, and operating robust cloud infrastructures, defining reusable standards and ensuring operational excellence in production. • Design AI cloud solution architectures: Design and develop strong architectures for infrastructure, data, security and integration patterns for AI workloads. • Enable AI, ML and GenAI workloads: Define reusable templates, standards and architectures for efficient cloud-based deployment. • Collaborate across teams: Work closely with the Cloud Platform, SRE, Architecture and Engineering teams to ensure scalable and reliable AI services. • Implement GitOps workflows: Promote controlled environment PR-based processes for models, services and infrastructure. • Support MLOps lifecycle: Contribute to model deployment, promotion, rollback and operational support. • Ensure production readiness: Design for scalability, performance and high availability in production environments, with the aim of ensuring maximum efficiency and reliability. • Strengthen observability, reliability, and security: Enhance monitoring, incident response, and ensure compliance, data protection, and best practices.

• As a Senior Consultant - AI Solutions EPM, you will play a key strategic and operational role, combining EPM expertise with cutting-edge AI technologies. • Your responsibilities will include developing and scaling AI-based Jedox solutions, driving the transformation of our Implementation Services and supporting clients as a technical expert and trusted advisor in creating real value through AI-powered planning. • Driving AI transformation: Taking the lead in introducing generative AI, AI agents and automation in delivery. • Scaling AI methods: Elaborate, evaluate and implement consulting approaches on a global scale. • Evaluating new technologies: Assess the relevance of AI tools and frameworks for projects and internal processes, and determine how they can be used to improve efficiency and productivity. • Optimise delivery: Elevate the efficiency of your projects, documentation and customer experience by adopting AI. • Developing AI assets: Create templates, accelerators and frameworks that can be repurposed and reused. • Work cross-functionally: Collaborate closely with Product, Engineering, Customer Success and Leadership on AI initiatives. • Enabling teams: Enable other consultants and establish best practices for AI implementation. • Establish AI governance: Define standards for the responsible and effective use of AI and ensure that these standards are applied consistently. • Implementing customer solutions: Develop and implement AI-powered Jedox solutions, providing support in the role of trusted advisor.

• As Senior Legal Counsel (m/f/d) you act as an operational sparring partner for Sales and Management and play a central role in the fast, scalable and legally secure execution of SaaS deals. • Your focus is on increasing deal velocity, win rate and commercial scalability — with a controlled risk profile. • You report directly to the Chief Financial Officer (CFO) and work closely with Sales Leadership. • End-to-end support of SaaS deals: legal coverage from tendering through contract negotiation to closing. • Shaping deal strategies: active support, especially for complex enterprise and key-account contracts. • Negotiation & structuring of contracts: focus on commercial levers, deal speed and high close rates. • Development of scalable contract standards: building and enhancing playbooks, fallback clauses and CLM structures to accelerate deal execution. • Ownership of commercial KPIs in the legal process: responsibility for metrics such as deal cycle time, touchpoints and closure rate. • Risk management & guardrails: active control of risk allocation and the definition of clear decision-making guardrails. • Use of Legal Tech & AI: leveraging modern tools to increase efficiency while ensuring corporate governance and proper housekeeping.