Join our Team About this opportunity: We are excited to announce the opportunity to join Ericsson as an Engineer Manager supporting the Packet Core / 5GC business across Latin America. In this role, you will ensure customer value and satisfaction through efficient service delivery while working closely with global delivery centers, product units, and customer-facing teams. You will lead a newly created team and play a key role in building capabilities, driving operational excellence, and supporting customers across the LATAM market. This opportunity is ideal for a leader who is passionate about people, business, and strategy, and who thrives in a dynamic delivery environment. What you will do: - Lead and develop a team through performance management, career development, competence development, recruitment, and resource management. - Drive team engagement, communication, and effective utilization of resources. - Ensure smooth transitions from pre-sales to delivery and successful execution of service delivery commitments. - Lead project delivery activities within the Packet Core domain and support delivery readiness and growth planning. - Build high-performing teams through recruitment, capability development, and talent management. - Manage talent demand and talent pools, including leveraging global service delivery centers. - Drive operational and delivery excellence through quality, knowledge sharing, continuous improvement, and automation initiatives. - Build strong relationships with customers and stakeholders while supporting escalation management and business needs. - Collaborate with other leaders across Packet Core and Core Network domains to support solutions, resource planning, and delivery success. - Introduce new technologies and capabilities to customers while fostering continuous improvement and profitability. - Foster strong customer relationships at management levels and oversee financial and quality performance metrics. The skills you bring: - Bachelor's degree in Engineering. An MSc, MBA, or equivalent experience is preferred. - Proven leadership experience as a line manager or team lead. - Ability to lead, coach, motivate, and develop high-performing teams. - Proven experience in planning, recruiting, and building competence. - Cloud Core experience across solutions, products, and services. - Understanding of CSS Service Delivery processes, models, and strategy. - Strong stakeholder management skills with the ability to mobilize support across customers, partners, and internal organizations. - Knowledge of delivery operations, sales processes, and financial management principles. - Strong communication, customer engagement, and market awareness skills. - Passion for quality, competitiveness, and continuous improvement. Location: This position is open to candidates based in any location across Latin America

Role Description Als PLC-Programmierer / Commissioning Engineer (m/w/d) sind Sie für die Programmierung, Inbetriebnahme und Optimierung hochautomatisierter Produktionsanlagen im Automotive-Umfeld verantwortlich. Sie begleiten den gesamten Inbetriebnahmeprozess, analysieren und beheben Störungen und sorgen für einen reibungslosen Produktionsablauf. Je nach Erfahrungsstufe übernehmen Sie Aufgaben von der Anlageninbetriebnahme bis hin zur eigenständigen Entwicklung komplexer SPS-Softwarelösungen. - Programmierung und Inbetriebnahme von SPS-Steuerungen mit Siemens TIA Portal - Inbetriebnahme und Optimierung von Produktionsanlagen und Maschinen - Durchführung von Funktions-, Sicherheits- und Abnahmetests - Analyse und Behebung von Fehlern an SPS-Steuerungen, Antrieben und Automatisierungssystemen - Produktionsunterstützung und Optimierung bestehender Anlagen - Konfiguration und Parametrierung von Servo-Antrieben und Frequenzumrichtern (z. B. SINAMICS S120/G120) - Integration und Anbindung von Leitrechner-, MES- und Fremdsystemen - Erstellung und Pflege technischer Dokumentationen - Zusammenarbeit mit Projektteams, Kunden und weiteren Fachbereichen während der Inbetriebnahme Qualifications - Mehrjährige Erfahrung in der SPS-Programmierung oder Inbetriebnahme - Sehr gute Kenntnisse im Siemens TIA Portal - Erfahrung mit PLC Programming oder PLC Commissioning - Kenntnisse in der Fehlersuche und Störungsanalyse - Gute Englischkenntnisse in Wort und Schrift - Bereitschaft zu nationalen und internationalen Projekteinsätzen Requirements - Erfahrung im Automotive-Umfeld, insbesondere Batterie- oder E-Mobility-Produktionsanlagen - Kenntnisse in WinCC - Erfahrung mit SINAMICS S120 und G120 - Kenntnisse in Profinet, EtherCAT und Safety-Programmierung - Erfahrung mit hochautomatisierten Fertigungslinien - Kenntnisse in MES-/Leitrechner-Anbindungen - Erfahrung mit Vision-, Laser- oder Schraubsystemen - Selbstständige, strukturierte und lösungsorientierte Arbeitsweise

Role Description - Erste Anlaufstelle für Anfragen unserer Kunden - Klare, freundliche und strukturierte Kommunikation mit Kunden - Analyse und Lösung eingehender Kundensupport-Tickets - Erstellung und Anpassung von Reports mit Handlebars.js gemäß Kundenanforderungen - Unterstützung bei Fragen zur Software-Konfiguration - Identifikation von Problemen und Sammlung relevanter technischer Informationen - Erkennen, wann eine Eskalation an Level 2 oder das Product-Team notwendig ist - Strukturierte Dokumentation von Problemen und Lösungen - Sicherstellung einer hohen Kundenzufriedenheit durch zeitnahe Kommunikation Qualifications - Sehr gute Kommunikations- und Problemlösungsfähigkeiten - Kundenorientierte und strukturierte Arbeitsweise - Ausgeprägtes Troubleshooting-Mindset und Freude daran, Ursachen zu identifizieren - Grundkenntnisse in Handlebars.js oder vergleichbaren Templating-Sprachen (bzw. Bereitschaft, sich zügig einzuarbeiten) - Fähigkeit, sowohl eigenständig als auch im Team zu arbeiten - Deutsch auf Muttersprachenniveau oder fließend - Gute Englischkenntnisse - Erste Erfahrung in der Erstellung oder Anpassung von Reports/Templates (Z.B., HTML/CSS) - Grundverständnis von Webanwendungen - Basiskenntnisse zu M365, APIs und HTTP-Statuscodes - Erfahrung in der Software-Konfiguration und Identity Access Management - Grundlegendes Sicherheitsbewusstsein (Passwörter, Phishing, sichere Gerätenutzung) Benefits - 100 % Remote-Arbeit und volle Flexibilität bei der Zeiteinteilung - Eine transparente, auf Vertrauen basierende Unternehmenskultur in einem internationalen SaaS-Scale-up - Moderne Tools, datengestützte Prozesse und schnelle Entscheidungswege - 2–3 Offsites und Workshops pro Jahr für Strategie, Austausch und Teamgeist - Hohes Maß an Eigenverantwortung und klare Entwicklungsperspektiven - Die Chance, ein schnell wachsendes SaaS-Unternehmen aktiv mitzugestalten - Steile Lernkurve in den Bereichen Customer Success, Onboarding, Software-Prozesse & Content-Erstellung - Enge Zusammenarbeit mit unseren Customer-Success- und Produktteams - Flexible Arbeitszeiten

Role Description We are looking for Senior Machine Learning Engineers to join a project delivered for our international client operating in the AdTech industry. The client is building a next-generation bidding platform and is undertaking a strategic redesign of its core bidder engine to deliver more intelligent, scalable, and efficient machine learning-driven decisioning capabilities. This role is a great opportunity to work on one of the most critical components of a large-scale programmatic advertising platform. You will contribute to the design and implementation of production-grade machine learning solutions that power real-time bidding decisions while collaborating closely with senior software engineers and platform architects. This is not a research-focused position but an engineering role centered on designing scalable ML systems that solve complex business problems in production. The project combines machine learning, distributed systems, software engineering, and AdTech domain expertise within a collaborative international environment. You will play a key role in defining how machine learning integrates into the bidder architecture while helping shape the future of the client's decisioning platform. - Design and develop machine learning solutions supporting the redesign of the bidder platform. - Collaborate with senior software engineers on bidder architecture and technical design decisions. - Define how machine learning components integrate with the overall bidding platform architecture. - Identify opportunities to replace rule-based decision logic with machine learning-driven approaches. - Participate in architecture reviews, technical design discussions, and engineering planning activities. - Optimize bidder performance through prediction, optimization, and intelligent decision-making models. - Support the implementation of scalable, production-grade machine learning solutions. - Collaborate with cross-functional engineering, analytics, and product teams to deliver high-quality solutions. - Contribute to engineering best practices, model deployment strategies, and operational excellence. - Support performance optimization, monitoring, and continuous improvement of machine learning services. - Mentor engineers by sharing knowledge and promoting machine learning best practices where appropriate. - Depending on seniority, take ownership of technical areas, influence architectural direction, and drive technical excellence across the platform. Qualifications - Extensive commercial experience in machine learning, applied data science, or machine learning engineering. - Proven experience designing or implementing bidder systems for DSP platforms or similar AdTech solutions. - Strong AdTech domain knowledge with a deep understanding of programmatic advertising ecosystems. - Experience building and deploying production-grade machine learning systems. - Strong understanding of prediction, optimization, ranking, and decisioning systems. - Experience contributing to software architecture and system design discussions. - Practical experience working within software engineering organizations and Agile development environments. - Excellent communication and stakeholder collaboration skills. - Strong analytical thinking and problem-solving capabilities. - Ability to balance machine learning innovation with production engineering requirements. - Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Requirements - Work from the European Union region and a work permit are required. Nice to have - Solid software engineering background. - Experience implementing or supporting MLOps practices. - Experience designing distributed or large-scale machine learning systems. - Experience working within real-time bidding (RTB) environments. - Experience collaborating closely with backend engineering teams. - Experience working with cloud-based machine learning platforms. - Deep expertise in DSP architecture. - Experience working with programmatic advertising platforms. - Experience leading technical design and architecture initiatives. - Experience mentoring software engineers, machine learning engineers, or data scientists. - Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. - Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process - CV review - HR call - Interview - Client Interview - Decision