Jobs at Zendesk

Lead cross-functional programs in product development, enhance analytics, manage risks, and mentor program managers in a tech company environment.

The GTM Enablement Associate will design and deliver enablement programs, analyze performance gaps, and leverage AI tools to enhance training initiatives. The role involves collaboration across teams and continuous improvement based on feedback and metrics.

Seeking a software engineer for Zendesk's Voice team to improve products using Ruby on Rails and React, emphasizing collaboration, testing, and agile practices.

As a Solutions Consultant, you will design AI-powered customer experience solutions, lead technical discovery, and ensure business impact through innovative system integrations and collaborations with various teams.

The AI Success Strategist owns the AI roadmap, drives customer adoption, ensures business value, and collaborates with cross-functional teams to optimize AI deployment and satisfaction.

Lead the design and implementation of AI-powered customer experience solutions, driving technical strategy through all phases of the sales cycle and delivering value to organizations.

As a Software Engineer II at Zendesk, you'll develop backend systems, lead projects, collaborate with teams, and maintain code quality through reviews and testing.

The Principal Value Architect at Zendesk leads cross-functional Value Consulting engagements, develops Value Cases, and collaborates with sales teams to enhance customer experience and achieve strategic objectives in a dynamic environment.

The Staff Machine Learning Engineer will oversee the ML aspects of Zendesk's routing products, ensuring quality and interoperability, while collaborating with various teams, leading innovation, and advancing ML literacy across the organization.

The Senior Solutions Consultant will lead customer engagement, architect AI-driven solutions, and drive technical strategy to meet customer goals in CX and ES.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.