• This role owns the full lifecycle of conversational AI assistants across our Group brand portfolio, spanning digital and voice channels. • You will design, build, test, launch, monitor, report on and iterate hybrid generative assistants, then expand proven approaches across additional brands once value has been demonstrated. • Design conversational flows and hybrid generative assistant experiences for digital and voice channels, aligned to brand tone of voice and customer need. • Build assistants using enterprise conversational AI and generative AI tooling, including intent design, dialogue management and integration with existing digital systems. • Test assistants for accuracy, safety and tone consistency before launch, covering scenario and edge case testing. • Launch assistants into live, customer-facing environments across relevant brands. • Monitor live performance against defined success metrics, identifying accuracy, containment and customer experience issues as they arise. • Report on performance using auditable, evidence-based metrics rather than self-reported or anecdotal measures. • Iterate assistant design and logic based on live performance data and customer feedback. • Expand proven use cases across additional brands and channels once value is demonstrated. • Apply consistent design standards across a multi-brand portfolio, adapting tone and content to individual brand requirements. • Collaborate with technology, operations, compliance and brand stakeholders to align conversational AI work with wider business priorities.

• Own the end-to-end performance of Ashley Digital's AI customer experience, defining customer intents, desired outcomes, success metrics, and conversation strategy across all AI workflows. • Design, test, and continuously improve conversational experiences through prompts, response logic, routing, escalation strategies, and system instructions, ensuring every interaction feels natural, helpful, and true to the Ashley Digital brand. • Balance automation with customer experience by determining when AI should resolve customer needs independently and when human support delivers the best outcome. • Monitor customer sentiment, conversation quality, and behavioral analytics to continuously improve tone, clarity, empathy, resolution quality, and overall customer experience. • Analyze AI performance using KPIs such as CSAT, One-Touch Resolution, Total Resolution Time, containment, escalation, retention, conversion, and AOV to identify optimization opportunities and prioritize the roadmap. • Build and maintain a continuous improvement framework by leveraging customer sentiment, QA findings, conversation analytics, operational data, and experimentation to optimize AI performance and customer outcomes. • Conduct recurring conversation reviews to identify friction points, underperforming workflows, emerging customer trends, and knowledge gaps, translating insights into actionable improvements. • Partner closely with Customer Support, Product, Engineering, QA, Operations, CRM, Legal, and Brand teams to align AI experiences with evolving customer needs, business priorities, and operational processes. • Own and maintain the enterprise knowledge base, ensuring it serves as the trusted source of truth for both AI and human support. • Establish scalable knowledge management practices, including taxonomy, metadata, governance, content lifecycle management, templates, and authoring standards that keep information accurate, AI-ready, and easy to maintain. • Continuously improve the knowledge base using conversation insights, customer feedback, and operational changes to ensure content remains current, relevant, and effective. • Communicate performance trends, business impact, and strategic recommendations to stakeholders through clear reporting, dashboards, and data-driven insights.

Role Description Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: - Beratung unserer Kunden bei der Entwicklung und Umsetzung von AI-Strategien, Transformations-Roadmaps sowie Governance- und Operating-Modellen - Leitung und Steuerung komplexer AI- und datengetriebener Transformationsprogramme mit Verantwortung für Zeit, Budget, Qualität und Stakeholder-Management - Identifikation, Bewertung und Priorisierung von AI- und datengetriebenen Anwendungsfällen mit messbarem Business Impact - Begleitung von Führungskräften und Organisationen bei Veränderungsprozessen sowie Entwicklung nachhaltiger Change-Management- und Enablement-Konzepte - Konzeption und Moderation von Workshops, Management-Meetings, Steering Committees und Executive-Präsentationen - Beratung zu AI Governance, Responsible AI sowie regulatorischen Anforderungen wie dem EU AI Act - Zusammenarbeit mit Fachbereichen, IT-, Data- und AI-Teams zur erfolgreichen Umsetzung strategischer Initiativen - Unterstützung bei der Akquisition neuer Projekte, der Erstellung von Angeboten sowie dem Ausbau langfristiger Kundenbeziehungen - Mitwirkung bei der Weiterentwicklung unseres Beratungsportfolios und der Positionierung von AI-Transformationsthemen im Markt (z.B. Fachvorträge) Qualifications - Erfolgreich abgeschlossenes Studium der Wirtschaftswissenschaften, Wirtschaftsinformatik, Informatik, Ingenieurwissenschaften oder eines vergleichbaren Studiengangs - Mehrjährige Berufserfahrung in einer Unternehmensberatung oder in einer vergleichbaren Transformationsfunktion - Fundierte Erfahrung in der Durchführung von Transformations-, Digitalisierungs-, Data- oder AI-Projekten - Nachweisbares Verständnis aktueller AI-Technologien und deren Potenziale für Geschäftsmodelle, Prozesse und Organisationen - Erfahrung im Management komplexer Stakeholder-Strukturen sowie in der Zusammenarbeit mit Führungskräften und Entscheidungsträgern - Kenntnisse in den Bereichen AI Governance, Data Governance, Change Management oder Operating Model Design sind von Vorteil - Ausgeprägte analytische und konzeptionelle Fähigkeiten sowie eine strukturierte und lösungsorientierte Arbeitsweise - Kommunikationsstärke, Moderationskompetenz und ein sicheres Auftreten auf Management- und C-Level-Ebene - Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift Benefits - Work-Life-Balance - Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung - ob voll remote oder in einem unserer modern eingerichteten Innenstadtbüros (inkl. Dachterrasse), workation - nutze die Möglichkeit aus dem EU-Ausland zu arbeiten - Kultur & Zusammenarbeit - Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – „einer für alle, alle für einen!“, unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros - Fachliche & persönliche Entwicklung - Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn - Vergütung & Zusatzleistungen - Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen - Gesundheit & Wohlbefinden - Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterzufriedenheitsumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (mit Grill) - Mobilität - Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Company Description Die Alexander Thamm GmbH ist einer der führenden Anbieter von Data Science und Künstlicher Intelligenz im deutschsprachigen Raum. Das Unternehmen generiert für und mit seinem Kunden aus Daten echte Mehrwerte, damit diese auch in Zukunft wettbewerbsfähig sind. Dazu entwickelt und implementiert die Alexander Thamm GmbH datengetriebene Innovationen sowie Geschäftsmodelle. Das Leistungsportfolio umfasst die gesamte Data Journey – von der Datenstrategie über die Entwicklung von Algorithmen und den Aufbau von IT-Architekturen bis hin zu Wartung und Betrieb.

Role Description Join our team as an AI Orchestrator, a pivotal role at the intersection of people leadership, agentic development, and software delivery. You will lead a multidisciplinary squad where collaboration between humans and AI agents is the core operating model. Your mission is to coordinate workflows across the entire Software Development Life Cycle (SDLC), ensuring that AI agents are properly configured, monitored, and continuously improved — while keeping the team aligned, the delivery predictable, and the value stream flowing. - Orchestrate the use of AI agents throughout all stages of the SDLC — from specification and development through testing and deployment — ensuring each agent operates with the right context, guardrails, and configuration at every step. - Lead and inspire a multidisciplinary squad, fostering a collaborative, autonomous, and high-performance environment where humans and AI agents work in an integrated and efficient manner. - Monitor the quality and consistency of outputs generated by AI agents, identifying deviations, refining prompts, and adjusting configurations to continuously improve the reliability and precision of deliveries. - Facilitate agile ceremonies — planning, daily standups, reviews, and retrospectives — adapting team dynamics to a development model where part of the work is executed by AI agents. - Map the value stream and manage dependencies, blockers, and competing priorities to keep the workflow healthy and delivery timelines predictable. - Manage the squad backlog in partnership with Product Managers and stakeholders, prioritizing deliveries aligned with business roadmap and product goals. - Define and track productivity, quality, and efficiency metrics for the squad, including agentic-specific indicators such as AI output utilization rate and cycle time per SDLC stage. - Ensure governance and compliance in the use of AI across the development workflow, establishing best practices and standards for agentic operations. - Facilitate communication between the squad and internal and client stakeholders, maintaining continuous alignment on progress, risks, and priority adjustments. - Identify opportunities for continuous improvement and automation, driving the progressive evolution of the agentic model and increasing squad productivity over time. Qualifications - Solid experience leading software development squads as a Squad Lead, Project Manager, Engineering Manager, or equivalent role. - Strong command of agile methodologies (Scrum, Kanban, or hybrid approaches), with the ability to adapt ceremonies and processes to an AI-augmented squad model. - Hands-on experience with AI agents and agentic development tools such as Claude Code, GitHub Copilot, or Cursor, with practical knowledge of configuring and orchestrating agents within development workflows. - Familiarity with Prompt Engineering applied to SDLC contexts, including prompts for specification, code generation, automated testing, and documentation. - Ability to define, track, and report productivity, quality, and squad performance metrics, including dashboards and reporting on agentic operations. - Technical fluency sufficient to understand delivery context, engage with developers and architects, and evaluate the quality of outputs — including those generated by AI. - Proficiency in English for communicating with stakeholders and development teams, reading technical documentation and writing instruction prompts for AI agents. - Experience with backlog management tools such as Jira, Azure DevOps, or similar platforms. Requirements - Practical experience as an AI Orchestrator or equivalent role, with real-world exposure to configuring, monitoring, and tuning AI agents in software delivery environments. - Knowledge of Spec-Driven Development (SDD) and its application in agentic workflows. - Experience with CI&T Flow or other GenAI platforms designed for software engineering workflows. - Background in supply chain, e-commerce and customer experience. - Experience in managing projects with multiple teams, complex dependencies and integrations. Benefits - Health and dental insurance - Meal and food allowance - Childcare assistance - Extended paternity leave - Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass - Profit Sharing and Results Participation (PLR) - Life insurance - Continuous learning platform (CI&T University) - Discount club - Free online platform dedicated to physical, mental, and overall well-being - Pregnancy and responsible parenting course - Partnerships with online learning platforms - Language learning platform - And many more!