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The Associate Solutions Consultant role supports Zendesk’s global sales team by providing technical and functional support on key opportunities, acting as the technical bridge to rapidly understand client requirements and demonstrate how Zendesk meets them. The mission is to ensure product selection, requiring both sales focus and technical savvy, and to manage and deliver technical information via remote calls and video conferences to drive customer satisfaction. Requirements include 2-5 years of related experience or an appetite for presales, excellent interpersonal and communication skills, bilingual English plus one of German/French/Spanish/Italian, strong problem-solving abilities, and a proactive, fast-paced work attitude with obvious passion for people. Nice-to-haves are proficiency with AI tools such as LLMs and agents, and experience with or in call centers, including understanding key metrics and best practices. Zendesk emphasizes a hybrid, inclusive culture with global offices and remote options, notes that AI screening may be used in applicant evaluation, and remains an equal opportunity employer committed to diversity, inclusion, and accessibility accommodations.

Zendesk is hiring a Voice AI Engineering Principal to lead the development and deployment of cutting-edge AI/ML technologies for speech and natural language processing, shaping scalable, voice-enabled customer experiences. You will oversee researchers across ASR, TTS, LLMs, and voice dialog systems, driving production-ready solutions and collaborating with research, software, and product teams. Responsibilities include designing next-generation voice AI (noise-robust multilingual ASR, neural TTS, advanced QA dialogs with pretrained models), building scalable AI pipelines with DNN/CNN/RNN/Transformer architectures, and enforcing software best practices (CI/CD, code reviews, version control) while staying current with AI breakthroughs. Qualifications call for hands-on experience with PyTorch, TensorFlow, Keras, and HuggingFace, strong programming skills (Python, C++, Java), and a track record of deploying production voice AI systems with multilingual capabilities; an MS in Engineering, CS, or related field with a focus on ML, speech processing, and on-device AI is preferred. The role is hybrid, requiring some in-office presence, and Zendesk emphasizes diversity and inclusion, with accommodations available for applicants; AI screening may be used in the hiring process and additional company information and DEI resources are available.

In Köln wird zum nächstmöglichen Zeitpunkt ein Werkstudent (m/w/d) im Bereich Consulting gesucht. Von Tag eins bist du ein vollwertiges Mitglied des Consulting-Teams und arbeitest aktiv in Kundenprojekten mit, um fachliche und persönliche Fähigkeiten zu entwickeln. Du studierst Wirtschafts- oder Medieninformatik, BWL oder einen vergleichbaren technischen Studiengang und suchst eine praktische Ergänzung zum Studium. Deine Aufgaben umfassen die Analyse von Kundenanforderungen, das Konzipieren von Lösungsszenarien, das Bewerten von Lösungsalternativen sowie Konfigurationsleistungen im Rahmen digitaler Transformationsprojekte. Zusätzlich unterstützt du bei der Lösungsimplementierung und der Erstellung von Projektplänen, Aufwandsschätzungen, Budgetplanungen und wirkst an der Konzeption sowie Kalkulation neuer Beratungsleistungen, Angebote und Pakete mit.

Zendesk is hiring a Principal Technical Program Manager in Product Development to lead multiple complex cross-functional AI Agent programs that deliver measurable business outcomes and align with Level 1–3 OKRs, keeping an end-to-end view of value creation and proactively mitigating delivery risks. The role involves autonomously initiating, structuring, and executing programs, owning strategy and governance from kickoff through delivery, and driving the OKR narrative with clear progress. You will identify cross-functional dependencies early, design end-to-end execution plans, manage governance forums and escalation paths, and communicate with executive presence while mentoring others and scaling program management practices. Basic qualifications include substantial experience leading complex software/engineering programs, the ability to manage multiple programs with broad dependencies, strong planning and risk management, decision-making, and the use of AI/LLMs to accelerate delivery, along with data analytics and proficiency with Jira/Confluence and agile/Lean practices. The role is hybrid (part in-office, part remote), and Zendesk emphasizes equal opportunity and diversity, provides a candidate privacy notice, notes that AI may be used to screen applicants, and offers accommodations for applicants with disabilities.

This role provides configuration and troubleshooting of cloud/virtualized infrastructure, software, and operating systems for clients to meet technical requirements, including apps, databases, backups, and automation, with issue resolution under SLAs. It focuses on tailoring services to client needs while maintaining quality standards and acting as a technical and client escalation point. Daily responsibilities include delivering service excellence, identifying problems and solutions, communicating openly with stakeholders, and analyzing information to support decisions. The role requires leveraging AWS cloud knowledge (EC2, RDS, EKS, ECS, EFS, WAF, ELB, Lambda) and configuring applications, including Jira/Confluence, GitLab, Harness, Sonarqube, and Adaptavist products, across platforms. It also involves OS/storage management, web server maintenance, networking and security, infrastructure as code (Ansible, Terraform), database design/management, virtualization/cloud technologies for resilient performance, and risk contingency planning.

The Associate Service Desk Analyst provides 1st line support and incident management for Adaptavist’s Managed Services, working to resolve issues within the defined SLAs. They manage the full ticket lifecycle from triage and debugging to smoke testing and final resolution. The role focuses on delivering excellent customer service, keeping customers informed, and resolving issues quickly to help retain clients long-term. Key duties include owning issues, creating and triaging tickets, applying problem-solving techniques, assigning to the appropriate Systems Engineer, coordinating with the team, communicating updates to customers and stakeholders, and escalating when blocked. They also contribute to incident documentation, support root cause analysis, and assist with smoke testing prior to releasing solutions to production systems.