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Zendesk seeks a Senior Solutions Consultant to lead the transformation of how top brands use its AI-powered CX/ES platform, acting as a trusted advisor and partnering with Sales, Product, Engineering, and Customer Success to drive scalable, measurable outcomes. You’ll lead Technical & Business Discovery, AI readiness assessments, and design tailored demos and proofs of value, translating AI/ML capabilities into business-focused narratives for audiences from IT to the C-suite. You’ll own end-to-end technical engagements across the sales cycle—from qualification and design to pilot execution—while architecting secure, scalable integrations using Zendesk APIs, middleware, telephony, and cloud platforms (AWS, Azure, GCP) to enable seamless workflows. You’ll collaborate across functions to align product roadmaps, influence future innovations, measure ROI with Zendesk analytics and AI metrics, drive AI adoption with Customer Success, and stay ahead of evolving CX/ES technologies. Requirements include 5+ years of presales/solutions consulting in SaaS/CX/enterprise software, strong web/scripting and AI expertise (LLMs, NLP, automation), domain experience in CCaaS/ITSM/BI, excellent communication and storytelling skills, a bachelor’s degree (graduate degree a plus), willingness to travel, and a commitment to Zendesk’s inclusive, hybrid culture with awareness of AI screening and equal opportunity policies.

Zendesk is seeking a Sales Specialist with deep expertise in cloud contact center technologies (preferably Zendesk, Amazon Connect, and AWS) to drive awareness and sell Zendesk for Contact Center CCaaS in Northern Europe. The role requires strategic direction, strong industry knowledge, business acumen, sharp analytical abilities, excellent communication, and collaboration across Zendesk teams. Responsibilities include collaborating with Account Executives, pre-sales, and partners; engaging vendors; conducting customer discovery; coordinating with AWS AEs; running forecast cadences; delivering tailored value propositions; promoting continuous innovation; and representing Zendesk at regional events. Key qualifications include a minimum of 7 years in cloud contact center sales; English and German fluency; proven channel sales experience; technical familiarity with Zendesk and Amazon Connect (advantageous); ability to work autonomously and in fast-paced teams; C-level selling experience; and a proven sales track record with strong communication skills. Zendesk offers a competitive compensation package, opportunities for growth, a collaborative and inclusive culture, and leadership in transformative contact center initiatives, along with a commitment to equal opportunity, diversity and inclusion, AI screening notices, and accommodations for applicants with disabilities.

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 Senior Account Executive - German speaking role at Zendesk sits in its fast-growing EMEA sales team, targeting mid-market and Fortune 500 customers with a consultative SaaS approach and managing both inbound and outbound opportunities to drive revenue. Day-to-day responsibilities include quickly understanding the Zendesk platform and customer needs, representing the voice of small business customers, handling high volumes of inquiries, owning a territory, collaborating with marketing, and delivering impactful product demos within weeks of joining. Candidates must be fluent in German and English, have at least 2 years of SaaS sales experience (preferably in multi-tenant environments), possess strong interpersonal and presentation skills, handle many opportunities at once, and thrive in a startup culture with an entrepreneurial mindset. Zendesk offers hybrid or remote work options, a two-week sales bootcamp, ongoing coaching and career planning, professional development funding, a dynamic team environment, and comprehensive benefits. The company commits to fairness and inclusion, may use AI in screening per policy, is an AA/EEO/Veterans/Disabled employer, and provides accommodations for applicants with disabilities, with a designated email for accommodation requests.

Zendesk is seeking a Senior ML Engineer to level up its retrieval-augmented generation platform that serves over 125,000 brands and billions of customer interactions across multiple channels. The role involves delivering AI-powered capabilities using LLMs, collaborating with Product Management and ML scientists, mentoring teammates, ensuring high stability of deployed services, contributing to technical design, and writing clean, maintainable code. Basic qualifications include 4+ years of Python-based ML system development, strong server-side architecture skills, cloud deployment experience (AWS, GCP, or Azure), and a collaborative, self-managed work style with excellent communication. Preferred qualifications include experience with LLMs at scale and RAG systems, AWS deployment, data-driven decision making, and the tech stack features Python and Ruby, AWS, and services like RDS MySQL, Redis, S3, ElasticSearch, Kafka, Kubernetes, and Docker. Zendesk also highlights a flexible, inclusive culture with growth opportunities, professional development funds, remote-friendly options, and a note that AI screening may be used in hiring, alongside a commitment to diversity and candidate privacy.

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.

The Agentic Tribe and Zendesk describe Gen3 as a cutting-edge, goal-oriented AI Agent system that can reason, plan, and adapt in real time to deliver personalized, off-script conversations beyond traditional chatbots. They are hiring a Staff Machine Learning Scientist for the AI Agent product at Zendesk to own a designated product area and translate advanced ML research into real-world impact, shaping the product roadmap. Responsibilities include designing and testing novel AI solutions for business problems, owning end-to-end research projects, providing peer review, staying current with NLP/ML literature, collaborating with AI engineers, implementing concepts into production, and aligning with product managers to discover the roadmap. Qualifications include a degree in a relevant field, proven ML/NLP research, experience with deep learning NLP architectures, ability to translate research into proof-of-concept models, a practical research approach, with bonuses for experience with LLMs, prompt engineering, AI agent context management, and familiarity with conversational AI/voice technologies. The role sits within Zendesk, which emphasizes diversity and equal opportunity, offers a hybrid work model, and provides details on the interview process, privacy, and accommodations, including the possibility that AI may be used for screening.

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.

The job description for the Senior Backend Engineer at Zendesk AI Agents highlights the role's focus on developing and shaping the backend infrastructure in collaboration with a diverse tech team. The position involves working on Gen3, an innovative AI agent system that encompasses goal-oriented and dynamic conversational capabilities, moving beyond traditional chatbot functionalities. Responsibilities include maintaining and developing services, architecting complex applications, and strategizing infrastructure that connects with various third-party systems. Ideal candidates are expected to have strong coding skills, knowledge of microservices, and a proactive team-oriented mindset, alongside experience in relevant technologies like NodeJS and MongoDB. Zendesk emphasizes its commitment to diversity and inclusion and offers hybrid working options to foster a supportive and collaborative work environment.