Job Summary: We are seeking an experienced Fusion Procurement Consultant to support Oracle ERP implementation projects within the banking sector. The successful candidate will lead procurement-related design, configuration, testing, and deployment activities, ensuring alignment with business requirements and best practices. Requirements: Minimum 10 years of total professional experience. At least 2 years of experience working in Saudi Arabia (KSA). Minimum 2 years of experience across Oracle ERP/Fusion implementation cycles (full project lifecycle experience preferred). At least 3 years of experience in the banking or financial services sector. Strong expertise in Oracle Fusion Procurement modules and related business processes. Experience in requirements gathering, solution design, configuration, testing, training, and go-live support. Excellent stakeholder management and communication skills. Should have fair understanding of GL Budgets Must be able to create OTBI, BI Publisher reports, create smart forms, Approval Flows. Preferred Skills: Experience with large-scale ERP transformation programs. Knowledge of procurement best practices and banking industry processes. Ability to work effectively with business and technical teams in a fast-paced environment

Job Specification: Senior Product Manager – Alexa User Acceptance Testing Role Summary Amazon Alexa is the world’s leading AI-powered voice assistant, powering millions of devices and delivering delightful, helpful experiences every day. We are seeking a customer obsessed Senior Product Manager to own the User Acceptance Testing (UAT) strategy and execution for Alexa’s core features, enhancements, and AI-driven capabilities (voice, multimodal, smart home, skills, and daily essentials). In this role, you will act as the single-threaded owner of UAT processes, ensuring every Alexa launch meets the highest bar for quality, usability, and customer delight. You will bridge product strategy, engineering execution, and real-world customer validation working backwards from the customer to define what “done” looks like and driving launch readiness decisions that protect the Alexa brand. You will collaborate cross-functionally with Product, Engineering, Science, Design, QA, User Research, and Operations teams while continuously improving UAT frameworks as Alexa evolves with generative AI and new modalities. Key Job Responsibilities • Own the end-to-end UAT strategy for Alexa features: define acceptance criteria, test plans, success metrics, and risk-based testing scope. • Partner with feature Product Managers and Engineering to translate product requirements into clear, measurable UAT cases that reflect real customer journeys (voice-first, multi-device, privacy-sensitive scenarios). • Design, recruit for, and execute large-scale internal and external UAT programs (beta testers, early-access customers, developers, and diverse user cohorts). • Analyze UAT results, qualitative feedback, telemetry, and bug data to identify high-impact issues; prioritize fixes and influence roadmap trade-offs. • Drive launch-gate decisions: present UAT outcomes to leadership and recommend go/no-go with clear risk mitigation plans. • Build scalable UAT frameworks, tools, and automation (integrating with Alexa’s testing infrastructure) to increase coverage and velocity as the product surface area grows. • Champion customer obsession in testing—ensure UAT scenarios mirror diverse global usage patterns, accessibility needs, and edge cases. • Establish KPIs for UAT effectiveness (e.g., escape rate, customer satisfaction post-launch, issue resolution time) and continuously improve the process. • Collaborate with QA, DevOps, and Science teams to integrate UAT into the CI/CD pipeline for faster, higher-quality releases. Basic Qualifications • Bachelor’s degree in Computer Science, Engineering, Business, or a related technical field (or equivalent professional experience). • 2-5 years of product management experience in consumer software, AI/ML products, voice interfaces, smart devices, or mobile apps. • Demonstrated experience owning or heavily influencing User Acceptance Testing, beta programs, or quality validation processes in an agile environment. • Strong analytical skills with proven ability to use data (telemetry, customer feedback, A/B tests) to drive decisions. • Excellent written and verbal communication skills; ability to influence senior stakeholders and present complex trade-offs clearly. • Experience working in fast-paced, cross-functional teams with high bar for quality and customer experience. Preferred Qualifications • Prior experience with Alexa, other voice assistants, generative AI products, or consumer hardware ecosystems. • Deep familiarity with testing methodologies, tools (Jira, TestRail, Confluence, or equivalent), and user-research practices. • Technical depth to engage with engineering and science teams on AI, NLP, device integration, and privacy topics. • Proven track record of improving testing processes that reduced post-launch defects or accelerated release cycles. • Passion for voice AI and a track record of delighting customers through high-quality product experiences. • Alignment with Amazon Leadership Principles (Customer Obsession, Ownership, Invent & Simplify, Are Right A Lot, Learn and Be Curious, etc.).

Cybersecurity Risk Manager Role Summary The Cybersecurity Risk Manager is responsible for identifying, assessing, and managing cybersecurity risks across the organization. This is a hands-on role requiring active involvement in risk assessments, control implementation, and remediation activities to ensure the protection of systems, data, and operations. The role focuses on strengthening the organization’s security posture while ensuring compliance with regulatory and internal standards. Role and Responsibilities • Conduct hands-on cybersecurity risk assessments across systems, applications, and infrastructure • Identify, evaluate, and document security risks, vulnerabilities, and control gaps • Develop and implement risk mitigation and remediation plans • Work closely with IT, security, and business teams to embed risk management practices • Perform control testing and validation to ensure effectiveness of security measures • Support governance, risk, and compliance (GRC) activities and frameworks • Maintain risk registers and provide regular reporting to stakeholders and leadership • Ensure alignment with industry standards (ISO 27001, NIST, etc.) and regulatory requirements • Assist in incident response and post-incident risk analysis where required • Drive continuous improvement of cybersecurity risk management processes Skills and Experience • Proven experience in cybersecurity risk management in a hands-on capacity • Strong knowledge of risk assessment methodologies and security frameworks (ISO 27001, NIST, CIS) • Experience in identifying vulnerabilities and implementing practical remediation actions • Familiarity with GRC tools and risk management platforms • Understanding of network security, cloud security, and application security principles • Experience working in regulated environments (e.g., banking, financial services) is preferred • Strong analytical, problem-solving, and decision-making skills • Excellent communication and stakeholder management abilities • Ability to work independently and manage multiple priorities in a contract environment • Relevant certifications (CISSP, CISM, CRISC, ISO 27001) are an advantage Don’t miss this chance to advance your career. Apply today!

Role: Project Manager Start: March 2026 Duration Type: 6 months+ Contract (Extendable) Location: Remote - Can be based in the UK, Germany, Italy Travel: 20-30% travel/onsite Type: Freelance/Contract Linnk is currently seeking a skilled Project Manager to join our client's growing team. This role will lead complex engineering and automation projects across multiple regions, ensuring successful delivery from concept to implementation. It’s an excellent opportunity for someone with strong leadership and technical project management experience to make an impact in a fast-paced, innovative environment. Key Job Responsibilities • Develop and implement innovative engineering solutions for complex material handling and automation challenges, integrating mechanical design, controls, and robotics. • Lead the design and delivery of scalable, high-efficiency systems and processes for large-scale industrial applications. • Collaborate with internal teams, suppliers, and vendors to develop cost-effective, reliable solutions that meet safety, quality, and performance standards. • Ensure seamless integration of mechanical, electrical, and software systems to optimise automation logic and overall performance. • Drive continuous improvement using data analysis, Lean, and Six Sigma methodologies. • Conduct post-deployment evaluations and implement lessons learned for future designs. • Manage cross-functional projects, aligning stakeholders across multiple regions. • Maintain technical documentation, including specifications, SOPs, and process guidelines. • Support the implementation of robotics and AI-driven automation technologies to enhance efficiency and innovation. Basic Qualifications: • Bachelor’s degree in Mechatronics, Mechanical Engineering, Electrical Engineering, Automation Engineering, or an equivalent field. • Minimum 5 years’ progressive experience in mechatronics, automation, logistics, or manufacturing engineering roles. • Strong background in mechanical design, automated systems, robotics, and high-speed production equipment. • Proficiency in AutoCAD, MS Excel, MS Project, and system simulation tools. • Proven experience managing large-scale, cross-functional engineering projects. • Strong documentation and technical communication skills. • Excellent command of English (spoken and written). Preferred Qualifications: • Master’s degree in Mechatronics, Mechanical, Electrical, or Automation Engineering. • Familiarity with logistics or production operations and process automation systems. • Hands-on experience with PLCs, industrial control systems, and automation technologies. • Experience in research, development, or innovation of industrial machinery or automation processes. • Knowledge of Lean Manufacturing, Six Sigma, and other process improvement methodologies. • Additional fluency in a European language (e.g., Italian, German, French).