Dedalus

Systems Engineer

• Review of the release documentation for upcoming ORBIS releases
• Validation of new functionalities and bug fixes in ORBIS based on the documentation
• Creation of the update guide and accompanying documentation for ORBIS updates
• Cross-departmental collaboration with development, support, and service teams
• Coordination with customers regarding delivered documentation (if required)

Systemintegration, Validation Specialist

Database Administrator

• Installare, configurare, aggiornare e monitorare i Database, assicurandone il funzionamento, la sicurezza e la conformità agli standard
• Risolvere i problemi e le anomalie dei Database, intervenendo in modo tempestivo e adeguato, sia in remoto che in loco
• Partecipare alla progettazione e all'implementazione di nuovi Database o di miglioramenti di quelli esistenti, seguendo le specifiche e le linee guida fornite
• Effettuare test e verifiche dei Database, valutandone le prestazioni, la funzionalità e la scalabilità

Product Manager

• Marktforschung: Du wirst die Forschung unterstützen, um Markttrends, Nutzerbedürfnisse und die Wettbewerbslandschaft zu ermitteln
• Feature-Entwicklung/ Anforderungserhebung: Du wirst in funktionsübergreifenden Teams zusammenarbeiten, um detaillierte Produktanforderungen zu sammeln und zu dokumentieren
• Projekt-Koordination: Unterstütze in Projektmanagementaktivitäten wie z.B. die Verfolgung von Aufgaben sowie das Übermitteln von Aktualisierungen an das Team
• Dokumentation: Erstellen und pflegen von Dokumentation zu Produktfunktionen, Spezifikationen und Prozessen
• Analyse/Metriken: Verwendung von Analysetools zur Überwachung der Produktleistung und der Benutzer Metriken
• Kommunikation: Erleichtere die Kommunikation zwischen verschiedenen Teams und Interessengruppen. Mitwirkung an regelmäßigen Status-Updates, Meetings und Präsentationen

Werkstudent im Produktmanagement

Full-stack Engineer

• Drive the evolution of a complex legacy codebase through controlled and incremental improvements
• Ensure technical integrity, coherence and maintainability of the system
• Guide design and implementation decisions across teams
• Lead modernization initiatives while preserving system behavior and stability
• Ensure alignment between legacy constraints and future architecture direction
• Perform impact analysis and ensure backward compatibility
• Define and enforce strong development, testing and release practices
• Coordinate technical work across multiple teams

Technical Lead

Solutions Engineer

• Du arbeitest mit den Kompetenzverantwortlichen anderer Fachbereiche zur Entwicklung übergreifender Strategien und Konzepte zusammen
• Du bist Bindeglied für technologische Fragen zwischen Vertrieb, Service und Support innerhalb des IT-Services Bereichs
• Du erstellst neue technologische Konzepte für den Managed Services Bereich, um Effizienz und Qualität der angebotenen Leistungen weiter zu steigern
• Du bist für die Analyse bestehender Kundenumgebungen als Basis für Systemerneuerungen bei unseren Managed Services Kunden zuständig
• Du begleitest Präsentationen bei Kunden als vertrieblicher, technischer Experte für unsere angebotenen Managed Services
• Du wirkst an der strategischen und technischen Weiterentwicklung unseres IT-Portfolios mit
• Du entwickelst Vertriebskonzepte (Best Practices) und unterstützen in der Vertriebsphase , insbesondere bei Ausschreibungen (z.B. Festlegung konkreter Stücklisten, technische Design-Checks)
• Du unterstützt mit Deinem KnowHow bei der Erstellung von Implementierungs- und Betriebskonzepten (Begleitung spezifischer, komplexer Projekte / Aufgaben)

IT Solution Architect, DACH

• Support the Lead PM in defining and maintaining the global AI product roadmap for Health Information Systems, ensuring alignment with corporate strategy and market needs.
• Manage the end-to-end lifecycle of specific products within the EMR and PAS AI portfolio, from ideation and requirements gathering through to launch and iteration.
• Engage directly with healthcare customers and internal stakeholders to understand workflows, pain points, and opportunities for AI-driven improvement.
• Create the business case for specific products, from scope to cost and RoI.
• Lead a development team working hand in hand with a Tech Lead in the development of the requirements into a product using agile methodology and ceremonies.
• Support in the identification and evaluation of third-party solutions, AI vendors, and integration partners relevant to the HIS space, contributing to build vs. buy assessments.
• Define success metrics and KPIs for AI features deployed within EMR and PAS contexts, supporting sales in the positioning of the product on the market, monitoring adoption and impact post-launch.
• Collaborate with the quality assurance team to ensure products comply with relevant regulatory, data privacy, and clinical safety requirements across target geographies (e.g. AI Act, GDPR, HL7/FHIR standards).
• Communicate progress, risks, and strategic updates to the relevant stakeholders.

AI Product Manager

Sales

• Lavorerai all’interno del nostro team Regional Pre-Sales, con il ruolo chiave di definire la crescita e la strategia commerciale di Dedalus Italia
• Fornirai supporto commerciale al team Sales e garantirai il raggiungimento degli obiettivi annuali del dominio in termini di Order Intake, Ricavi e Marginalità
• Supportare il team Sales illustrando le capacità funzionali e tecniche dei prodotti ed effettuando demo personalizzate
• Fornirai supporto tecnico al team Sales su gare di appalto
• Interagire strettamente con i clienti per individuare criticità, esigenze di business e requisiti tecnici
• Collaborare con il team di Delivery, PM&E, Solution Architects, per adattare le roadmap di prodotto

Pre-Sales Specialist

AI Engineer

• Own and drive the strategy and execution of our AI-powered Health Data Products portfolio.
• Define and own the global product strategy and roadmap for AI-powered Health Data Products.
• Lead, develop, and grow a team of product managers, fostering a culture of ownership, collaboration, and continuous improvement.
• Engage with executive stakeholders across clinical, commercial, and technical functions to align on priorities and ensure product-market fit.
• Champion a data-driven approach to product decision-making, OKRs, and KPIs.
• Engage directly with healthcare customers and internal stakeholders to understand workflows, pain points, and opportunities for AI-driven improvement.
• Ensure each product within the Health Data product portfolio is supported by a business case.
• Support in the identification and evaluation of third-party solutions, AI vendors, and integration partners relevant to the HIS space.
• Ensure collaboration with the quality assurance team to ensure products comply with relevant regulatory, data privacy, and clinical safety requirements.
• Communicate progress, risks, and strategic updates to relevant stakeholders.
• Oversee cross-portfolio dependencies and integration points across their portfolio.

Lead Product Manager – Data

• Define and drive the product strategy and roadmap for AI applications that consolidate and operationalise clinical and genomic data to support precision medicine workflows
• Support the Lead PM in defining and maintaining the global AI product roadmap for Health Data, ensuring alignment with corporate strategy and market needs
• Manage the end-to-end lifecycle of specific products within the AI portfolio, from ideation and requirements gathering through to launch and iteration
• Engage directly with healthcare and life sciences customers and internal stakeholders to understand workflows, pain points, and opportunities for AI-driven improvement
• Create the business case for specific products, from scope to cost and RoI
• Lead a development team working hand in hand with a Tech Lead in the development of the requirements into a product using agile methodology and ceremonies
• Evaluate third-party data platforms, genomics pipelines, AI vendors, and precision medicine toolkits relevant to the portfolio
• Define clinical validation frameworks and success metrics appropriate to AI-driven precision medicine applications, supporting sales in the positioning of the product on the market, monitoring adoption and impact post-launch
• Collaborate with the quality assurance team to ensure products comply with relevant regulatory, data privacy, and clinical safety requirements across target geographies (e.g. AI Act, GDPR, HL7/FHIR standards)
• Communicate progress, risks, and strategic updates to the relevant stakeholders

AI Product Manager – ClinicoGenomics

Manager

• Internal knowledge transfer regarding new products and features of our laboratory software Opus::L
• Planning and conducting internal training sessions for colleagues in Service and Support
• Creating internal functional and configuration documentation
• Supporting the execution of pilot projects
• Assisting product managers in designing new products and features, with a particular focus on serviceability
• Supporting product managers in the validation and acceptance of new products and features

Transition Manager – Opus

Backend Engineer

• Actively contribute to the development and enhancement of our backend software solutions for Opus::L
• Modernize our system architecture by integrating and advancing core system components, including connecting to ActiveMQ, replacing existing CORBA structures, and implementing modern REST services
• Work with other backend technologies and scripting languages used in the product environment — in particular TCL and Shell/Bash scripting
• Support technical development and continuously optimize the software
• Analyze requirements and work closely with product management
• Implement and test new features with a focus on quality, performance, and usability
• Troubleshoot, debug, and maintain existing software components
• Document developed solutions and technical processes

Backend Developer, C#/C++

• Provide strategic and hands-on technical leadership across AI product portfolio
• Oversee a team of data scientists, ML engineers, and AI researchers
• Define and champion best practices, standards, and guidelines for AI software development
• Contribute to AI partner vetting and technical due diligence for third-party AI platforms
• Ensure technical consistency across AI initiatives by collaborating with the Integrated Solutions Team
• Stay at the forefront of AI research developments
• Communicate technical progress, risks, and strategy to key stakeholders

AI Technical Lead

Program Manager

• Coordinate and govern the delivery of AI initiatives across global product portfolio
• Ensure that AI programmes are delivered on time, in scope, and in alignment with strategic objectives
• Own the coordination and governance of AI initiatives across three focus areas—Health Information Systems, Health Data Products, and Diagnostics
• Establish and maintain programme-level planning artefacts including roadmaps, RAID logs, status dashboards, and milestone trackers
• Facilitate structured programme reviews and cross-functional forums, surfacing risks, decisions, and progress
• Partner with Product Managers, Technical AI Lead, Quality Assurance, AI Compliance, and business stakeholders
• Ensure all product initiatives are KPI driven and follow the same standards and practices
• Identify and proactively manage cross-programme interdependencies, resource constraints, and delivery risks
• Engage and manage key stakeholders across the business around timelines, deliverables, queries, and status of AI initiatives.
• Prepare and deliver executive-level programme reporting and communications

AI Programme Manager

DevOps Engineer

• Installazione, configurazione e assistenza software presso i clienti
• Effettuare assistenza (presso il cliente e/o da remoto) sia a livello applicativo che a livello di canali di integrazione
• Svolgere test funzionali e di integrazione
• Relazione con service/project manager, team di sviluppo, altre aree aziendali e risorse del cliente
• Documentazione e verbalizzazione attività svolte

Junior DevOps

Counselor

• Develop innovative interface solutions based on HL7 and FHIR standards for the seamless integration between ORBIS-KIS and external subsystems
• Independently execute customer projects including installation, testing and comprehensive documentation to ensure smooth implementation and operational reliability
• Actively communicate with customers, third-party system developers and internal teams to analyze requirements, develop tailored solutions and provide ongoing support
• Continuously optimize and evolve existing interface solutions by analyzing feedback, technological trends and regulatory requirements