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The Senior Partner Sales Executive will join Zendesk’s growing EMEA Partner Sales Team to convey Zendesk’s value to executives, sales, and technical sales, collaborating with direct/partner marketing and enablement to drive partner-sourced and incremental revenue. Responsibilities include being a self-starter who can work remotely, owning a defined territory or named accounts, ramping existing partners, recruiting and managing new revenue-generating partners, developing executive partner relationships, and driving quarterly business and GTM plans while coordinating with Partner Marketing and Enablement to fill the top of the funnel and enable partner trainings; travel about 30%. Qualifications require 10+ years in direct/indirect software sales (5+ in SaaS), a proven track record of meeting or exceeding quotas, strong interpersonal and communication skills, proficiency with Google Apps/CRM, and the ability to craft business plans with C-level stakeholders, plus significant software/SaaS experience, analytical skills, a bachelor’s degree, and fluency in English and German (other languages a plus). The role is hybrid, balancing onsite collaboration with remote work, with weekly office attendance and the in-office schedule determined by the hiring manager. Zendesk emphasizes fairness, diversity, equity, and inclusion, may use AI in screening, is an AA/EEO/Veterans/Disabled employer, and provides accommodations for applicants with disabilities.

Zendesk is seeking an AI Product Consultant & Pilot Implementation (Pre-Sales) who leads end-to-end pilot engagements to prove the value of Zendesk AI through technical configuration, integration, and validation against success metrics, while collaborating with Sales to accelerate deals. You will own pilot discovery, scoping and delivery; partner with the account team; work with customers to optimize readiness (knowledge, procedures and data); configure AI features and build integrations; coordinate with PS resources; interface with Product to address gaps; design testing and QA to secure customer sign-off; and manage stakeholder relations and handoff. The role requires a startup mindset, strong Zendesk product knowledge, highly technical skills, experience in enterprise SaaS/AI implementations, proactive outcome-driven mindset, and excellent communication and change-management abilities. Success is measured across Commercial Impact (pilot conversion rate), Customer Impact (automation/augmentation of tickets and stakeholder satisfaction), Operational Excellence (time-to-value and risk management), and Scalability (asset reuse, knowledge transfer, and innovation contributions). Zendesk supports a flexible hybrid model with weekly in-office presence, a commitment to diversity and inclusion, and transparency about AI screening and accommodations for disabilities.

The posting is for an AI Agent Engineer at Zendesk, highlighting Gen3—a cutting-edge, goal-oriented AI agent system that uses multi-agent architectures and LLMs to reason, plan, and adapt in real time. The role centers on designing, developing, and deploying autonomous agents that leverage LLMs to streamline operations and handle complex, multi-step tasks, while effectively communicating technical concepts to technical and non-technical stakeholders. Responsibilities include building robust, stateful AI agents with Python and frameworks like LangChain and LlamaIndex; integrating with enterprise systems and APIs; evaluating foundation models; leading deployment lifecycles with cross-functional teams; troubleshooting and documenting processes. Core competencies include LLM-oriented system design; tool integration and APIs; retrieval-augmented generation; evaluation and observability; safety and reliability; performance optimization; planning and reasoning; and proficiency in Python, FastAPI, cloud deployment, and CI/CD, with bonuses for advanced degrees, ML fundamentals, productionizing research, and fine-tuning methods. The interview process is multi-stage, and Zendesk emphasizes hybrid work, equal opportunity, diversity and inclusion, and candidate privacy, with mentions of AI-based screening and accommodations.

The Gen3 is a cutting-edge, goal-oriented conversational AI system using multi-agent architecture to handle complex tasks in real time, and the Engineering Manager for the Voice Agent Team will lead efforts to build and scale voice agents and a development framework, emphasizing low latency and capabilities like speech recognition, STS-TTS, and real-time voice models. You will directly manage about 6-8 engineers from frontend and backend and collaborate with stakeholders across the department, with team size and composition subject to change as the org grows. What you will be doing: lead a cross-functional team, foster continuous improvement and collaboration, mentor and empower engineers, encourage micro feedback and shared ownership, promote best practices, and coordinate with other Engineering Managers and Chapter Leads to keep the group focused and effective; facilitate communication among engineers, product managers, and stakeholders, and be accountable for delivery and product quality. What you bring to the role: proven experience in building and scaling voice-based products, strong technical background, mentoring ability, track record of managing and motivating teams, experience scaling teams, openness to diverse perspectives, facilitation and stakeholder communication skills, collaborative practices like pair programming and code reviews, and commitment to iterative development and quality. The role is hybrid; Zendesk emphasizes a fulfilling, inclusive experience with global offices and remote flexibility; AI may be used in screening; Zendesk is an equal opportunity employer with diversity initiatives and accommodations for applicants with disabilities.

Zendesk is hiring for senior roles—Voice AI Engineering Principal and Group Tech Lead - Voice AI—to lead and accelerate voice and conversational AI efforts, overseeing ASR, TTS, LLMs, and voice dialogue systems to power scalable, multilingual, noise-robust customer experiences. Key responsibilities include directing research, design, and engineering of next-generation voice AI solutions, building and mentoring high-performing AI/ML teams, moving advanced models into robust production systems, and aligning cross-functional stakeholders on a technical vision and roadmap. Candidates should have 10+ years in software with 4+ years in AI/ML and 2+ years in staff/principal leadership, deep expertise in LLM-oriented architectures and real-time voice systems (STT/TTS, VAD, barge-in), cloud deployment (AWS/GCP/Azure), and proficiency in Python and modern DL frameworks. The Group Tech Lead role adds architectural ownership of the voice-first AI Agent platform, defining technical direction, leading multi-quarter initiatives, guiding real-time components and standards for Python-based development (e.g., Tree-of-Thought, CoT), and overseeing evaluation platforms and safety defenses. Zendesk promotes hybrid work, diversity and inclusion, and equal opportunity; they may use AI screening per policy, and they provide accommodations for applicants with disabilities.