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Zendesk aims to make customer experience better through data and analytics, powering 125,000+ brands and supporting internal teams building CX products. The Zendesk Analytics Prototyping (ZAP) team creates fine-grained datasets that power Zendesk’s customer-facing analytics and inform support operations and product decisions, with the highest quality bar on the customer surface. The Senior AI Data Engineer will work across code, dbt models, and datasets to strengthen the data assets behind Zendesk’s customer-facing reporting and help progress toward an AI-enabled operating model. Key responsibilities include developing and maintaining ELT pipelines, building and optimizing SQL-based data models with dbt, improving data delivery and system efficiency, collaborating to translate requirements into scalable pipelines, and contributing to the team’s technical vision. Basic qualifications include 5+ years of data engineering experience, strong SQL, dbt and data modeling (Kimball/Inmon), Python, cloud data warehouses (BigQuery/Redshift/Snowflake), plus performance and cost optimization; preferred qualifications include AI-augmented engineering practices, SnowPro Core, Spark, Lean/6 Sigma, and the role supports a diverse, hybrid-friendly environment with AI screening as part of the process.

Zendesk is seeking a Staff Engineer for its Europe-based Edge Engineering team, responsible for the proxy tier, global CDN, load balancing, and other edge services that handle billions of user interactions daily. The role involves building and shipping production code to improve the experience for millions of Zendesk users, reviewing peers’ changes, and working with a modern stack across AWS, Cloudflare, Kubernetes, Terraform, and Go. Qualifications require 5+ years in DevOps or production engineering on high-traffic distributed systems, hands-on edge tech experience (HTTP/TLS/CDN/DNS), Linux/Docker/Kubernetes, and AWS, with strong cross-team collaboration. Preferred competencies include SaaS experience, proactive problem solving, strong documentation, caching/CDN knowledge, observability, and willingness to learn Go, with a tech stack that features AWS, Cloudflare, Envoy/OpenResty, Terraform, Kubernetes, Docker, Go, Spinnaker, GitHub, and Datadog. Zendesk emphasizes hybrid work, diversity and inclusion, and accommodations for applicants with disabilities, and notes that AI may be used for screening in accordance with policy.

Zendesk is hiring a Corporate Account Executive to drive growth in the SaaS space by acquiring new customers and expanding revenue through cross-selling and deepening relationships with corporate accounts. The role focuses on building broad relationships across organizations, leveraging data, customer intents, and adoption history to prospect new clients and optimize retention, while leading competitive sales cycles and articulating Zendesk's value. You will maintain a robust Salesforce pipeline with accurate weekly, monthly, and quarterly forecasts, collaborate with internal teams to sharpen sales strategies, and strive to exceed quarterly and annual revenue goals. Candidates should have a BA/BS (or equivalent), at least 2 years of closing B2B SaaS deals or solution engineering experience, and strong prospecting, presentation, negotiation, and deal-closing skills, plus familiarity with Salesforce, Outreach, and Clari. The role is hybrid with at least two days in the London or Dublin office, and Zendesk emphasizes diversity and inclusion, AI screening transparency, and accommodations for applicants with disabilities.