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Zendesk is hiring a Staff Machine Learning Scientist for the AI Agent product (Gen3) to bridge cutting-edge ML research with real-world impact and shape the product roadmap. Responsibilities include designing and testing novel AI solutions for real business problems, owning end-to-end research projects from requirements to design and reporting, conducting peer reviews, staying current with NLP/ML literature, helping AI engineers implement designs in production, using rapid experimentation tools, and collaborating with product managers to discover the roadmap. Required qualifications include a degree in CS/ML/Engineering/Math, a proven record of ML or NLP research (ideally in industry), the ability to translate research ideas into proof-of-concept models, a practical approach to applying ML to business problems, with a bonus for experience in LLMs, prompt engineering, AI agent context management, and conversational AI/voice technologies including TTS and STS, plus strong communication skills. Success will be measured by alignment with the product roadmap, effective collaboration with product, engineering, and design teams, and the ability to identify, prioritize, and champion new opportunities. The interview process comprises an initial talent call, an interview with a hiring team member, a take-home technical/research challenge, a technical interview with two scientists, and a final interview with CTO or Engineering Manager/Director; the role supports a hybrid work arrangement, and Zendesk emphasizes diversity and inclusion, potential AI screening of applications, and accommodations for applicants with disabilities.

The Agentic Tribe is introducing Gen3, a goal‑oriented, multi‑agent AI system that can reason, plan, and adapt in real time, and it seeks an AI Agent Engineer to design, develop, and deploy autonomous agents powered by Large Language Models. Responsibilities include building robust, stateful AI agents with Python and modern frameworks (e.g., LangChain, LlamaIndex), integrating them with existing systems and APIs, selecting foundation models, and leading end‑to‑end deployment while collaborating with product, ML, and software teams. Core competencies cover LLM‑oriented system design with multi‑step tool use and prompt engineering, retrieval‑augmented generation pipelines, evaluation and observability, safety and guardrails, performance optimization, planning with long‑term memory, and strong Python/Cloud/CI‑CD tooling. Preferred qualifications include advanced degrees, deep ML concepts, experience turning academic research into production code, and familiarity with fine‑tuning techniques like PEFT/LoRA. The posting also describes Zendesk as the employer—its customer‑relationship software focus and global footprint—and outlines its commitments to diversity, equal opportunity, candidate privacy, and accommodations, noting that AI may be used to screen applications.

Zendesk is seeking a Senior Backend Engineer for the AI Agents team to collaborate with product managers, AI/ML engineers, frontend developers, and the broader tech organization to deliver fast and reliable backend features, including Gen3, a goal-oriented, multi-agent conversational AI system. The Self Service tribe aims to remove onboarding bottlenecks by building a robust self-service onboarding experience that unifies Zendesk’s AI products across the platform. Responsibilities include maintaining and developing components with your team, architecting complex microservice-based applications, delivering high-traffic APIs, anticipating future use cases, improving the codebase, and driving cross-team architectural initiatives within the backend chapter. What you bring: strong coding skills (Node.js ES7, TypeScript), experience with microservices and databases, a proactive, collaborative mindset, coaching and mentoring ability, and a readiness for continuous learning, plus familiarity with the tech stack (TypeScript, MongoDB, Elasticsearch, Google Pub/Sub, Sentry, Redis, Kubernetes, Terraform, Argo CD, Grafana, GitHub). The interview process includes an initial talent-call, a hiring-team interview, a take-home technical challenge, a technical interview with two developers, and a final interview with CTO or Engineering Manager/Director; Zendesk also notes hybrid work, potential AI screening, and a commitment to equal opportunity, diversity and inclusion, along with accommodations for applicants with disabilities.

Zendesk is seeking a Sales Specialist with expertise in contact center technologies, particularly Zendesk and AWS-based solutions, to drive the sales of their CcaaS platform in Northern Europe. This role involves collaborating with Account Executives and partners, engaging in customer discovery calls, managing deal progress, and advocating for innovation in customer interactions. Required qualifications include at least seven years of experience in cloud contact center sales, fluency in English and German, and a proven track record in achieving sales targets and channel sales. The position offers a competitive salary, benefits, and opportunities for professional growth in a collaborative environment. Zendesk emphasizes inclusivity and fairness in its hiring process, actively working towards global diversity and equity in the workplace.

Zendesk is seeking a Lead Product Designer for their AI Agents team, focusing on creating a premier AI automation platform to enhance customer experiences. The role emphasizes collaboration with cross-functional teams, including product managers and engineers, to innovate and improve AI-driven solutions. Candidates should have at least seven years of experience in designing SaaS applications, with a strong portfolio showcasing their work, particularly in generative AI and user experience design. The position offers flexibility in work hours and remote options, alongside opportunities for professional growth within a diverse and inclusive environment. Zendesk is committed to equal opportunity employment and actively promotes diversity, ensuring all qualified individuals are considered without bias.

Zendesk is seeking a Senior Backend Engineer for their AI Agents team, focusing on the development and implementation of groundbreaking backend systems. The role involves collaborating with various teams to enhance their AI-driven chatbot, Gen3, which is designed for advanced conversational capabilities. Key responsibilities include maintaining service components, architecting complex applications, and improving existing systems to deliver high-quality AI products. The ideal candidate should have strong coding skills, knowledge of microservices architecture, and a proactive attitude towards teamwork and mentoring. Zendesk emphasizes a diverse and inclusive workplace, offering flexible working arrangements and a commitment to fostering community engagement.