• Implement pre-built AI automations using tools like Make.com, GPTs, and WhatsApp flows • Customize prompt logic and tone based on the Founder’s business • Test and QA each automation for performance and accuracy • Collaborate with DSLs and Doing Teams to ensure fit and effectiveness • Help Founders future-proof their businesses using structured, templated AI.

Role Description We're looking for a systems builder who understands both AI and creative production workflows. This is not a generalist AI research role. The AI Creative Operations role exists to build and maintain the AI infrastructure that powers content production, social workflows, and creative execution across the company. The ideal candidate combines operational thinking, technical execution, and strong editorial judgment. You should understand how content moves through production, where inefficiencies exist, and how to build automations and systems that reduce manual work without compromising quality or brand consistency. You will work closely with the Production Lead and AI Operations counterpart to ensure production-side and operations-side systems remain connected, scalable, and aligned. This role is best suited for someone who likes building real systems, shipping practical workflows quickly, and improving how creative teams operate at scale. Core Problems You'll Solve - Build a unified source of truth for Moj's ideas, transcripts, source material, and production context across tools like Granola, Fathom, ClickUp, Drive, Slack, and WhatsApp - Create a shared AI voice layer that maintains consistent brand voice across all content and team members - Automate the pipeline from meetings, transcripts, and source material into structured content ideas and production tasks - Build repurposing systems that transform approved long-form content into multiple downstream formats automatically - Create real-time production visibility across content pillars, production status, blockers, and publishing readiness - Automate publishing and distribution workflows wherever technically feasible What You'll Own - Build and maintain AI-powered production workflows inside ClickUp and related systems - Design automations connecting transcripts, notes, meetings, and source material to content production pipelines - Standardize content task structures, routing systems, and production visibility dashboards - Build AI-assisted repurposing systems for clips, carousels, threads, and social content - Develop and maintain prompt systems, voice guidelines, and internal AI workflows - Collaborate closely with Production, Marketing, and AI Operations to ensure systems remain aligned - Submit weekly reports covering shipped systems, work in progress, and operational blockers requiring decisions Workflow & Collaboration - Work directly with the Production Lead and AI Operations counterpart - Collaborate with Daniela on ClickUp organization, tracking, and coordination workflows - Conduct regular syncs with AI Operations to ensure production and operational systems remain compatible - Partner with the Marketing Coordinator to build and refine voice systems and AI content workflows - Ensure any systems affecting publishing, client-facing tools, or brand voice receive appropriate approval before launch What We Need From You - Experience building AI-powered workflows, automations, or operational systems in creative, content, or marketing environments - Strong understanding of content production pipelines and creative operations - Ability to translate messy workflows into scalable systems and automations - Experience with tools like ClickUp, Notion, Zapier, Make, OpenAI, Claude, Airtable, or equivalent platforms - Strong editorial judgment and understanding of brand voice consistency - Comfort working independently and shipping systems quickly in fast-moving environments - Clear communication skills and strong operational organization Who Thrives Here This role is best suited for someone who: - Thinks like both an operator and a builder - Enjoys solving workflow inefficiencies with practical systems - Moves quickly from idea to implementation - Understands creative teams and how content actually gets produced - Balances technical capability with editorial taste and operational judgment - Prefers execution over theory Benefits - Fully remote work - Flexible schedule and time off - Access to leading AI tools - Direct collaboration with leadership - Long-term career growth opportunities - High-trust, fast-moving team culture

Role Description Du übernimmst die fachliche Verantwortung für das Themenfeld Künstliche Intelligenz bei Computacenter und entwickelst daraus ein marktfähiges, vertriebsstarkes Lösungsportfolio. In deiner Rolle verbindest du technologische Tiefe mit Marktverständnis, Partnersteuerung und Enablement für unsere Solution Sales Teams. - Du führst die AI Solution Group fachlich, definierst Zielbild, Prioritäten und Positionierung und entwickelst das KI Themenfeld strategisch weiter. - Du entwickelst gemeinsam mit Practice Leads und Solution Areas ein klares KI Portfolio und leitest daraus konkrete Angebote, Referenzarchitekturen und Enablement Inhalte für den Vertrieb ab. - Du unterstützt Solution Sales in strategisch relevanten KI Opportunities, sicherst die Qualität von Lösungsarchitekturen und Angebotslogiken und wirkst aktiv an der Positionierung beim Kunden mit. - Du identifizierst Marktchancen, Fähigkeitslücken und Partnerpotenziale und übersetzt diese in konkrete Entwicklungs- und Investitionsmaßnahmen. - Du steuerst die Zusammenarbeit mit strategischen Partnern wie Microsoft und Cisco und vertrittst Computacenter als fachliche Stimme für KI bei ausgewählten Kunden, Partner und Marktformaten. Qualifications - Mehrjährige Erfahrung in einer leitenden, architekturnahen, portfolio oder presales nahen Rolle im KI, Daten oder Cloud Umfeld. - Tiefes fachliches Verständnis von Generative AI, Machine Learning, MLOps, Datenarchitekturen und produktionsnahen KI Betriebsmodellen. - Erfahrung im IT Dienstleistungs-, Integrations- oder Consulting Umfeld. - Starkes Verständnis für Go to Market Modelle, Partnering, Portfolioentwicklung und das Zusammenspiel mit Solution Sales. - Sehr gute Deutsch- und Englischkenntnisse sowie Kenntnisse zu EU AI Act und DSGVO. Benefits - Mobile Working und flexible Arbeitszeiten – Vertrauen ist gut. Punkt. - Gehalt – Unser Provisions- und Bonusmodell ist eines der attraktivsten Vergütungsmodelle der Branche. - Weiterentwicklung – Wir investieren in dich! Ob interne oder externe Trainings, Fach- oder Managementkarriere, Konferenzen, Events, Mentoring oder Coaching. - Kultur – Das „Du“ gilt bei uns über alle Ebenen. Wir sind nahbar – und einfach wir selbst. Company Description Computacenter ist ein internationales IT-Unternehmen mit einer 40-jährigen Erfolgsgeschichte. Allein in Deutschland bringen rund 7.000 Menschen die digitale Transformation voran: Sie entwickeln IT-Strategien, implementieren neue Technologien oder managen komplexe Infrastrukturen – für die Mehrheit der DAX-Unternehmen ebenso wie für große öffentliche Auftraggeber. Als unabhängiger Partner aller führenden IT-Hersteller (wie z. B. Microsoft, Apple, IBM, HP, Cisco, Intel) sind wir in allen relevanten Technologiebereichen unterwegs: von Cyber Security, Cloud und Künstlicher Intelligenz über agile Software-Entwicklung bis hin zu Arbeitsplatzlösungen für die Smart Factory. Und das Beste an uns? Ganz einfach: Die Menschen, die bei uns arbeiten, in ihrer Vielfalt, mit ihrem Potenzial und ihren individuellen Lebensentwürfen.

Role Description - Define the AI vision and architecture for the testing function. - Identify testing activities that can be improved with AI, including: - Test case generation - Test data creation - Automated test maintenance - Defect prediction - Root cause analysis - Log and failure analysis - Requirements-to-test traceability - Risk-based test prioritization - Intelligent regression selection - Design and implement AI-enabled frameworks for: - Functional testing - API testing - UI automation - Performance testing - Security testing support - Exploratory testing augmentation - Partner with QA, developers, DevOps, product managers, and data teams to embed AI into CI/CD and quality engineering workflows. - Evaluate and recommend AI/ML, GenAI, and test automation tools. - Establish standards for AI governance, privacy, security, explainability, and responsible usage in testing. - Create architecture for integrating LLMs, test repositories, defect systems, observability tools, and CI platforms. - Define metrics to measure the effectiveness of AI in testing, such as: - Defect leakage - Automation coverage - Test execution efficiency - Flaky test reduction - Mean time to diagnose failures - Release quality trends - Mentor QA engineers and SDETs on AI-assisted testing practices. - Lead pilots, proofs of concept, and scaled rollout of AI testing capabilities. - Ensure compliance with enterprise policies for data handling and model usage. Qualifications - Hands-on experience with tools/languages such as Python, Java, JavaScript, SQL, and test tools like Selenium, Playwright, Cypress, Appium, JUnit, TestNG, PyTest, or similar. - Experience integrating with platforms such as Jira, Azure DevOps, GitHub, Jenkins, GitLab, or cloud test platforms. - Knowledge of test analytics, data pipelines, and observability/log analysis tools. - Strong architecture and design skills for scalable, secure enterprise solutions. - Experience building AI copilots or assistants for QA teams (Desired). - Familiarity with vector databases, model evaluation, and MLOps/LLMOps concepts (Desired). - Experience with cloud platforms such as AWS, Azure, or GCP (Desired). - Understanding of regulated environments and compliance requirements (Desired). - Certifications in test architecture, cloud, AI/ML, or enterprise architecture (Desired). - Hands-on experience with Python (Desired). - Development experience in AWS Cloud technology (Desired). - Experience in TDD, continuous integration, code review practice is strongly desired. - Experience with Apigee or other API gateways is a plus (Desired). - Experience with DevOps concepts and tools (e.g., CI/CD, Jenkins, Git) (Desired). - At least 2 years working on an Agile team with a solid understanding of Agile/Lean practices (Desired). - Understanding of a microservice architecture (Desired). - Experience load and performance testing (Desired). - Strong documentation skills (Desired). Requirements - Expert Level experience required. - This is a Contract position based out of Chicago, IL. Benefits - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on May 31, 2026.