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Zendesk's mission is to make customer experience better through data and analytics, and the ZAP team builds the fine-grained datasets that power Zendesk's customer-facing analytics and inform internal product decisions. The Senior AI Data Engineer will develop and maintain ELT pipelines, build and optimize SQL-based data models with dbt, and contribute to an AI-enabled operating model by applying emerging AI tools to improve productivity. Basic qualifications include 5+ years of data engineering experience, strong SQL and data modeling (Kimball, Inmon), hands-on dbt, Python, and experience with cloud columnar databases, plus performance/cost optimization and collaboration skills. Preferred qualifications include experience with AI-augmented engineering practices, SnowPro Core certification, Spark, and familiarity with Lean/6 Sigma and CRM analytics. The role sits within Zendesk's data stack (Snowflake, dbt, Airflow, Kafka) on a hybrid work model, and Zendesk is an equal opportunity employer that provides accommodations and may use AI screening for applications.

Zendesk is seeking an experienced Staff Engineer for its Edge Engineering team in Europe to own and improve the proxy tier, global CDN, and other edge services that handle billions of HTTP requests daily, with a focus on observability, resilience, and modern technologies. You’ll build and manage the proxy tier, ensure efficient asset delivery via the CDN, collaborate with a small team of engineers, ship code to production, review peers’ changes, and use a tech stack including AWS, Cloudflare, Kubernetes, Terraform, and Go. The role requires at least 5+ years in DevOps or production engineering for high-traffic distributed systems, plus 5+ years with edge technologies (HTTP, TLS, load balancing, DNS, CDN), Linux/Docker/Kubernetes experience, and hands-on AWS experience, with strong cross-team collaboration. Preferred competencies include SaaS experience, problem-solving and documentation skills, knowledge of caching/CDN solutions, observability via metrics and traces, and willingness to learn Go, with the stated stack also featuring Envoy, OpenResty, Spinnaker, GitHub, and Datadog. Zendesk emphasizes a hybrid, inclusive culture, equal opportunity employment, and accommodations, and notes that applicants may be screened by AI tools, with provisions for remote work and disability accommodations.

Zendesk is recruiting a Corporate Account Executive to grow its corporate SaaS customer base by hunting new opportunities, closing deals of varying sizes, and building cross-functional relationships to drive revenue while aligning with customers’ goals. This is a hybrid role requiring at least two days in the London or Dublin office each week, with the exact in-office schedule determined by the hiring manager. Key responsibilities include driving top-line revenue, managing and nurturing client relationships for high satisfaction and retention, cross-selling additional products, using data insights to prospect and retain, articulating Zendesk’s value against customers’ objectives, leading competitive sales cycles, maintaining a robust Salesforce pipeline, and delivering accurate forecasts while collaborating with internal teams to exceed KPIs. Candidates should have a BA/BS or equivalent, at least two years of B2B SaaS sales or solution engineering experience with a proven record of meeting/exceeding targets, strong presentation/negotiation/closing skills, solid prospecting and outreach abilities, entrepreneurial mindset, and familiarity with key tools like Salesforce, Outreach, and Clari. Zendesk emphasizes equal opportunity and diversity, notes potential AI screening in hiring, offers accommodations for applicants with disabilities, and promotes a global, inclusive hybrid work culture with offices worldwide.