Zendesk
Enterprise · Customer support
- HQ
- San Francisco, US
- Founded
- 2007
- Size
- 3,000+
- Website
- zendesk.com
Enterprise · Customer support
Currently tracking 20 active AI roles, up 72% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $158k–$374k (avg $261k).
| Title | Stage | AI score |
|---|---|---|
| Staff Machine Learning Engineer, AI Agent Staff Machine Learning Engineer focused on building AI Agent experiences for customer support, involving reasoning, tool use, and integration with Zendesk systems. The role emphasizes end-to-end product development, reliability, and technical leadership. | Agent | 8 |
| Sr. Operations Manager This role supports the Product Development Operations team, focusing on strengthening operational rigor in a SaaS environment. It involves improving planning, execution, and ways of working, with a strong emphasis on building scalable, AI-first operational mechanisms to enhance team efficiency and delivery. The role will leverage AI to automate repetitive tasks, improve decision support, and increase the speed and quality of operational execution, including concepts like multi-agent orchestration. | — | 5 |
| Senior Backend Engineer, Connectors & Discover Senior Backend Engineer responsible for the data layer powering Zendesk's AI products, focusing on building and scaling integrations and analytics infrastructure to transform raw support data into automation recommendations. This involves designing and maintaining connectors (ETL), extending the insights engine, building resilient data pipelines, and optimizing search indices for RAG and retrieval features. |
| AgentData |
| 5 |
| Senior Fullstack Engineer, Solve Senior Full Stack Engineer to build and improve backend systems for a real-time voice AI product, focusing on low-latency systems, integrations, performance, and reliability. The role involves shipping product features across the voice platform and collaborating with product and design. | Ship | 5 |
| Director, Software Engineering Director of Software Engineering to lead and scale global Platform engineering teams, driving the architecture and delivery of API-first, cloud-native platform services that enable partners and customers to build intelligent, AI-powered experiences at scale. The role involves defining platform strategy, owning architecture, partnering with AI teams, driving operational excellence, and staying current with AI tools and technologies. | Agent | 5 |
| Senior Engineering Manager Senior Engineering Manager to lead a team focused on cloud governance, IAM, secrets management, and delivery, strengthening cloud security architecture and compliance posture through automation. The role involves managing a distributed team, overseeing initiatives, partnering with security and product teams, and ensuring secure-by-default platforms and guardrails. Experience with enterprise-grade AWS environments, DevOps methodologies, and security/compliance frameworks is required. | — | 0 |
| HRIS Consultant (Workday) This role is for an HRIS Analyst with a focus on Workday configuration, business process design, reporting, and integrations. It involves end-to-end ownership of Workday Recruiting modules, production support, system evolution, and stakeholder partnership. The role also includes mentorship and cross-training of junior team members. | — | 0 |
| Premier Support Engineer This role is for a Premier Support Engineer at Zendesk, focusing on providing technical support and guidance to enterprise customers. The role involves troubleshooting complex SaaS solutions, understanding Zendesk architecture, and advising on product usage, APIs, and SDKs. It requires strong communication, prioritization, and cross-functional collaboration skills. | — | 0 |
| Senior Services Consultant - Amazon Connect This role is for a Senior Services Consultant focused on the technical delivery of Zendesk for Contact Center solutions, specifically using Amazon Connect. Responsibilities include requirements gathering, solution design, configuration, deployment in AWS, client training, and communication with project teams. Requires strong experience with Amazon Connect, AWS, Python, and cloud-based solutions. | — | 0 |
| Senior Data Engineer Senior Data Engineer role focused on building and maintaining data warehouse solutions, ELT pipelines, and data models using technologies like BigQuery/Snowflake, dbt, and Airflow. The role involves collaborating with business partners to define analytics outcomes and ensure data integrity. | — | 0 |