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Zendesk is looking for a successful Account Executive with proven B2B and AI-sales experience to grow new business and expand existing partnerships, aligning with their mission to power exceptional service and human connections. The role focuses on driving top-line revenue through new customer acquisition, cross-selling within existing accounts, nurturing relationships for retention, and using data insights to improve prospecting and expansion. You will create quarterly territory plans, lead complex, multi-month sales cycles with proof-of-concept stages, secure C-level sponsorship, maintain a robust pipeline and accurate forecast, and collaborate with internal teams to optimize sales execution. Requirements include a BA/BS, at least 3 years in cloud/software B2B/AI sales with a proven quota track record, experience selling to C-level executives, strong presentation and negotiation skills, and familiarity with tools like Salesforce, Outreach, Clari, Seismic, and Looker, plus the ability to travel. Zendesk promotes a hybrid, inclusive culture, notes that AI may screen applicants, is an equal opportunity employer with commitments to diversity and inclusion, and provides accommodations upon request.

Zendesk is transforming customer experience and employee services with its AI-powered Resolution Platform, and is hiring a Senior Solutions Consultant to lead strategic, technical engagements with major brands. You’ll conduct discovery and value demos, translate AI/ML capabilities into business narratives, own the end-to-end technical engagement, and architect secure, scalable integrations using Zendesk APIs and cloud platforms. You’ll collaborate across Sales, Product, Engineering, and Customer Success to align customer needs with the product roadmap, measure ROI with Zendesk analytics, promote AI adoption, and drive continuous innovation. Qualifications include 5+ years in presales or solutions consulting in SaaS/CX, knowledge of web technologies and architectures, experience running pilots/POCs, deep AI expertise (LLMs, NLP), domain experience in CCaaS or related fields, strong communication, a bachelor’s degree (graduate degree a plus), and willingness to travel. Zendesk supports a hybrid work environment, is an equal opportunity employer, emphasizes diversity and inclusion, may use AI screening in hiring, and provides accommodations for applicants with disabilities.

Zendesk is a leader in customer experience solutions, with its Contact Center Center of Excellence optimizing platforms such as Zendesk, Amazon Connect, and AWS-based solutions to enhance customer interactions and operational efficiency. The position is for a Sales Specialist with deep expertise in cloud contact center technologies (preferably Zendesk, Amazon Connect, and AWS) to drive awareness and sales of Zendesk’s CCaaS platform, Zendesk for Contact Center, in Northern Europe, providing strategic direction and cross-team collaboration. Responsibilities include collaborating with Zendesk Account Executives, pre-sales teams and partners to identify opportunities, aligning with vendors and delivery partners on best practices, running customer discovery calls, managing deal progress, forecasting, and delivering tailored value propositions with regional teams. Key qualifications include a minimum of 7 years in cloud contact center sales, fluency in English and German, proven channel sales experience, technical knowledge in Zendesk and Amazon Connect is advantageous, the ability to sell at the C-level, and a proven track record of achieving targets with strong communication. We offer a competitive salary and benefits, opportunities for professional growth, a collaborative and inclusive work environment, the chance to lead transformational contact center initiatives with cutting-edge tech, and Zendesk’s commitment to diversity and accessibility, with AI screening noted and equal opportunity employment.

Zendesk is hiring a Senior Account Executive who is German-speaking to drive revenue in the EMEA region, handling inbound and outbound SaaS sales for mid-market and Fortune 500 clients. The role involves quickly learning the Zendesk platform, addressing small business needs, handling high volumes of inquiries, owning a territory, and delivering high-impact product demos. Requirements include proficiency in German and English, at least 2 years of sales experience (preferably in SaaS), strong communication skills, the ability to manage many opportunities, and a startup/entrepreneurial mindset focused on customer success. The job offers a hybrid/remote model, a 2-week sales bootcamp, ongoing coaching, career development, and benefits like health insurance and PTO. Zendesk commits to diversity and fairness, may use AI screening, and provides accommodations for disabilities as part of being an equal opportunity employer.

Zendesk is seeking a Senior ML Engineer to strengthen its retrieval-augmented generation (RAG) platform used across customer-service channels for 125,000+ brands, helping end-users quickly find answers in knowledge bases. You will deliver AI-powered features using cutting-edge LLMs, collaborate with Product, ML Scientists, and other engineers, mentor juniors, ensure service stability, and contribute to technical design and clean code, while addressing scaling, new use cases, speed/cost optimization, and multi-context reasoning. Requirements include 4+ years building Python ML systems, solid server-side architecture knowledge, cloud deployment experience (AWS/GCP/Azure), the ability to build scalable software, strong communication, and a collaborative, self-managed agile mindset; preferred include experience with LLMs at scale, RAG design, AWS, and data-driven experimentation. The tech stack features Python (and some Ruby), AWS, data stores like RDS MySQL, Redis, S3, Elasticsearch, Kafka, and Athena, with Kubernetes and Docker, Kafka for streaming, and monitoring via Datadog and Sentry. Zendesk offers an inclusive, hybrid work culture with ownership of features at scale, growth opportunities, flexible hours, development funds, and remote-friendly options, along with a commitment to diversity and candidate privacy and an acknowledgment that AI screening may be used in hiring.

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.

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.