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The role is Senior Partner Sales Executive on Zendesk’s Partner Sales Team in EMEA, responsible for conveying Zendesk’s value to executives, sales and technical staff, and driving partner-sourced revenue by coordinating with direct and partner marketing, enablement, and partner teams. Successful candidates should have deep SaaS experience, strong leadership and executive presence, an entrepreneurial spirit, and extensive partner-management experience. Key responsibilities include owning named accounts or defined partner territories, ramping and recruiting revenue-generating partners, developing executive partner relationships, executing quarterly business and GTM plans, coordinating with Partner Marketing and Enablement, facilitating deal flow with Zendesk sales, acting as the General Manager of the territory, and traveling about 30% of the time. Requirements include 10+ years in software sales (5+ SaaS), excellent communication skills, a track record of quota attainment, proficiency with Google Apps and CRM, ability to create business plans with C-level stakeholders, knowledge of sales methodologies, and fluency in English and German (other languages a plus). The role is hybrid, with part of the week in the office and part remote, and Zendesk emphasizes diversity and inclusion, AI screening as part of applicant evaluation, and accommodations for applicants with disabilities.

Zendesk is seeking an AI Product Consultant & Pilot Implementation (Pre-Sales) to lead end-to-end pilot engagements that prove the value of Zendesk AI through technical configuration, integration, and validation against success metrics. The role sits at the intersection of technology and strategy in the pre-sales cycle, delivering working pilots for high-value customers that address strategic outcomes (like reducing costs and improving service) and accelerate time to signature, in close collaboration with the Sales team. Responsibilities include owning pilot discovery, scoping and delivery; configuring AI product features and integrations; coordinating with Professional Services; interfacing with Product to manage dependencies; designing testing and QA; managing stakeholder relationships and post-pilot handoff; and maintaining deep knowledge of the Zendesk product suite, especially AI agents and Copilot. Desired qualifications include startup agility, strong Zendesk product knowledge and customer-facing skills; being highly technical with basic coding skills; proven project and relationship management in enterprise SaaS/AI implementations; proactive, outcome-driven mindset; excellent written and verbal communication, and change management and executive facilitation abilities. Success metrics cover commercial impact (pilot-to-deal conversion), customer impact (automation/augmentation of tickets and stakeholder satisfaction), operational excellence (time-to-value and risk management), scalability (reusability of assets, knowledge transfer, and innovation contributions); the role supports a hybrid working model and Zendesk’s commitments to diversity, equity and inclusion with accommodations as needed.

The Agentic Tribe is revolutionizing chatbot and voice assistance with Gen3, a goal-oriented, multi-agent AI system that reasons, plans, and adapts to user needs in real time to handle complex tasks and off-script inquiries. The role is AI Agent Engineer aimed at designing, developing, and deploying autonomous agents that leverage LLMs to streamline operations and build cognitive architectures for AI-powered applications, with the ability to communicate complex technical concepts to both technical and non-technical stakeholders. Responsibilities include designing robust, scalable agents with Python and frameworks like LangChain and LlamaIndex; integrating with enterprise systems and APIs; evaluating foundation models; leading the full deployment lifecycle with cross-functional teams; troubleshooting and optimizing production systems; establishing evaluation platforms and documenting processes. Core competencies cover LLM-oriented system design, tool integration, retrieval-augmented generation (RAG), evaluation and observability, safety and reliability, performance optimization, planning and reasoning, and programming with Python/FastAPI and cloud deployment, with bonus points for advanced degrees, ML fundamentals, productionizing research, and fine-tuning techniques. The interview process comprises an initial talent-call, a hiring-team interview, a take-home technical challenge, a technical interview with developers, and a final interview with leadership, and Zendesk as the employer offers hybrid work arrangements, a strong emphasis on diversity and inclusion, candidate privacy provisions, and accommodations for disabilities, including AI-assisted screening where applicable.

Zendesk is hiring an Engineering Manager for the Voice Agent Team to lead Gen3, a goal-driven, multi-agent conversational AI platform that delivers real-time, voice-first interactions with low latency. You will manage about 6-8 engineers across frontend and backend, guiding the development of core technologies (speech-to-text, text-to-speech, real-time voice models) and a scalable framework to deploy multiple voice agents for clients. Key responsibilities include leading a cross-functional team, fostering continuous improvement and collaboration, coaching and mentoring engineers, enabling best practices, and ensuring delivery and product quality in partnership with Product Managers and stakeholders. Requirements include proven experience building and scaling voice-based products, a strong technical background in complex architectures, a track record of motivating teams and managing change, and a collaborative, iterative approach that emphasizes quality. The role follows Zendesk’s hybrid work model with some in-office days, and the company highlights commitment to diversity and inclusion, equal opportunity employment, and potential AI screening of applicants.

Zendesk seeks a senior leader (Voice AI Engineering Principal or Group Tech Lead - Voice AI) to spearhead the design, research, and deployment of cutting-edge speech and NLP technologies (ASR, TTS, LLMs) for scalable, voice-enabled customer experiences. The role includes building and scaling a high-performing AI/ML team, fostering a research-driven culture, and partnering with researchers, software engineers, and product teams to turn advanced models into robust production systems and roadmaps. Responsibilities emphasize architectural ownership of low-latency, multilingual voice platforms, real-time components (STT/TTS/VAD), engineering standards, evaluation platforms, safety/defense, and driving multi-quarter initiatives across multiple teams. Required qualifications include 10+ years of software engineering with 4+ years in AI/ML and 2+ years in leadership, deep expertise in LLM-oriented architectures and speech systems, experience deploying on cloud (AWS/GCP/Azure), and proficiency in Python and DL frameworks, with preferred MS/PhD and real-time streaming experience. Zendesk notes a hybrid work model, a commitment to diversity and inclusion, the possibility of AI-based screening in hiring, and accommodations for applicants with disabilities.