Role Description As an Observability & Service Management solution consultant, you will play a critical role in driving sales and helping prospects understand the strategic value of OpenText's Observability & Service Management solutions. You will work closely with customers to understand their IT ecosystems and business needs, providing a comprehensive view of how OpenText’s solutions can support their digital transformation journey. Your ability to communicate the value of OpenText solutions and guide customers in realizing their full potential will directly contribute to our success in complex, high-impact environments. This role will be Virtual, Germany. What the Role Offers - Support sales teams throughout the sales cycle from discovery to closing, ensuring alignment and becoming a trusted advisor. - Collaborate with customers to develop scalable, adaptable solutions aligned with their evolving business needs. - Work with Account Executives to communicate the value of OpenText’s Observability & Service Management solutions. - Develop technical demonstrations, proof of concepts, and deliver tailored customer presentations. - Assist with relationship management, technical sales information, and tools. - Represent OpenText at trade shows and industry events, contributing to the company's visibility. - Lead technical portions of design sessions, creating deliverables and recommended solutions. - Participate in scoping, technical RFx responses, and solution development. - Conduct Proof of Concepts (POCs), managing requirements, coordinating team efforts, and presenting findings. - Analyze data and create innovative solutions that evolve beyond customer requirements. Qualifications - Fluency in German and proficiency in English (CEFR C1/C2 levels). - Experience in a presales role, ideally in a SaaS/Cloud environment or Observability & Service Management IT experience. - Knowledge of IT Operations Management solutions like Observability or Network Management. - Strong understanding of cloud-based platforms (SaaS, PaaS, IaaS). - Experience with competitive Observability & Service Management landscape and the ability to create business cases, ROI/TCOs, and proposals. - Proficiency in virtualization and containerization technologies, cloud platforms and/or network technologies. - Solid presentation, time management, and problem-solving skills. - Ability to prioritize, qualify, and provide excellent customer service. - Strong communication and collaboration skills, with a global mindset. - Self-motivated and committed to excellence. One Last Thing Join us as an Observability & Service Management Consultant and be instrumental in helping our customers with their digital transformation journey. Your contributions will play a key role in shaping the future of IT operations management and delivering impactful solutions for businesses across industries.

Role Description The Professional Services AI Solutions Engineer plays a critical role in accelerating the effective adoption of AI tools and capabilities across Precisely’s Professional Services team and is designed for bridging the gap between cutting-edge AI and billable service delivery. The role will collaborate with technical, business, and operational teams to identify AI use cases, support implementation, and measure impact for Professional Services, ensuring AI solutions are practical, scalable, and aligned with business objectives. The Analyst is comfortable translating complex AI concepts into actionable insights and supporting stakeholders as AI becomes part of everyday workflows. What you will do: - Building AI Deployment Accelerators: - Independently build AI agents to automate complex data mapping, schema conversion, and code migration tasks. - Design "Configuration Agents" that auto-generate documentation and environment setups for product deployments. - Use Case Identification & ROI Strategy: - Audit Professional Services workflows to identify high-impact AI opportunities. - Perform cost-benefit analyses, translating technical metrics into "hours saved" and "margin improvement" for leadership. - Hands-on Agentic Engineering: - Design and code autonomous AI Agents using frameworks like Lang Graph, Crew AI, or Semantic Kernel. - Build systems capable of multi-step reasoning, self-correction, and tool-calling. - Team Enablement & Training: - Collaborate with Central AI Team's AI Enablement Lead on PS-specific training content. - Self-Driven Governance & Scaling: - Implement LLM Ops for PS-specific agentic solutions, operating within Precisely's AI Architecture Standards and in coordination with the Central AI Team's AI Platform Engineer for tooling, evaluation standards, and model governance. - Agentic Solutions: - Lead the strategy, design, and delivery of agentic service offerings in Professional Services by leveraging MCP servers to connect AI agents with enterprise data and software solutions. - Own customer adoption of MCP based solutions, driving scalable, governed, and LLM agnostic agent implementations that maximize existing automation investments. Qualifications - Bachelor’s degree in computer science, Information Systems, Data Analytics, Business, or a related field. - 3–5 years of experience supporting Professional Services delivery, consulting initiatives, or technology-enabled programs in a software or SaaS environment. - Experience supporting technology adoption, change management, or enablement across cross-functional teams. - Strong analytical and problem-solving skills with the ability to interpret data and derive actionable insights. - Excellent written and verbal communication skills, with the ability to translate complex concepts for diverse audiences and non-technical stakeholders. - Ability to simplify complex LLM concepts into actionable training for consultants, analysts, and partners. - Experience working with stakeholders at multiple levels, including technical and non-technical partners. - AI Enablement & Training background and excellent presentation skills a must. Requirements - Strong proficiency in Python, with hands-on experience building or enhancing AI-enabled workflows or internal accelerators. - Practical experience designing and implementing generative AI solutions, including Retrieval-Augmented Generation (RAG), vector databases, and API-based integrations. - Experience working with AI agent frameworks and orchestration tools such as LangGraph, CrewAI, Semantic Kernel, or LlamaIndex. - Experience using enterprise LLM platforms (e.g., Anthropic Claude, OpenAI models), with sound judgment in evaluating outputs, limitations, and risk. - Solid working knowledge of AI/ML concepts and automation platforms sufficient to support enablement, training, and real-world solution delivery. AI Skills/Knowledge - Ability to identify and improve manual or repetitive Professional Services processes using AI or automation. - Clear analytical and communication skills, with the ability to explain AI-driven outcomes to consultants and delivery stakeholders. - Comfort using generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude) and a growth mindset aligned to an AI-first organization.

• Lead architecture for a complex Azure-to-AWS migration programme • Drive application and infrastructure modernisation initiatives • Guide senior stakeholders on cloud transformation strategy • Produce high and low-level designs, migration plans, and technical governance • Act as the senior technical authority throughout delivery

**What you will do** - Lead, mentor, and develop a high-performing team of Solutions Engineers, fostering a culture of technical excellence, accountability, and continuous growth. - Drive the technical sales strategy across North America, guiding discovery, solution design, demonstrations, and customer evaluations. - Partner closely with Sales leadership to align presales activities with revenue objectives and accelerate business growth. - Establish and scale best-in-class presales methodologies, processes, and tools to improve consistency, efficiency, and customer outcomes. - Act as a trusted advisor and executive sponsor on strategic enterprise opportunities, helping customers solve complex identity, fraud, and data challenges. - Champion the adoption of AI-enabled practices and technologies to enhance team productivity, customer engagement, and technical differentiation. - Collaborate cross-functionally with Product and Engineering teams to translate customer and market insights into future product innovation. - Leverage data and performance metrics to optimize technical win rates, evaluation success, deal velocity, and overall business impact. - Attract, hire, and retain top Solutions Engineering talent while building a scalable organization capable of supporting continued growth. - Serve as a key member of the Customer Engineering leadership team, helping shape the vision, strategy, and future direction of the function.