Drive awareness and sales of Zendesk CCaaS for EMEA SMB: enable field teams, collaborate with AEs, pre-sales, partners and AWS, manage pipeline and forecasts, run discovery calls, and advocate CX innovation.

Lead design for Zendesk Knowledge, creating AI-driven knowledge and Help Center experiences. Partner with PMs, engineers, researchers, and content strategists to prototype, test, and deliver interaction models, flows, and high-fidelity designs that scale and improve conversational AI and self-service outcomes.

As a Staff Software Engineer, you will design, develop, and maintain data store components, collaborating with teams to create efficient solutions using tools like Golang and Kubernetes in a hybrid work environment.

The AI Success Strategist will oversee customer AI roadmaps, ensuring alignment with business goals, driving AI adoption, and improving retention metrics.

The Incident Response Lead will manage incident triage and restoration, coordinate response teams during outages, facilitate post-incident reviews, and improve reliability across IT services.

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

The Senior Data Engineer will design and implement data solutions, focusing on scalable data models and pipelines, while collaborating with analytics teams.

As a Business Development Representative, you'll drive new business by managing an outbound pipeline and providing excellent customer experience, while utilizing innovative prospecting methods.

Serve as the technical AI expert for Zendesk customers: design and implement AI configurations, run projects end-to-end, drive adoption and measurable outcomes, provide change management and training, and collaborate with Sales and Customer Success to remove blockers and ensure satisfaction.

As a Data Scientist at Zendesk, you'll design and implement AI-driven solutions, ensuring scalability and optimizing model efficiency while collaborating in a fast-paced R&D environment.

Build and own backend features for the Messaging Experience platform: design, implement, test, roll out, and monitor services. Produce design docs, improve reliability and scalability, write docs/runbooks, present proposals, and enhance CI/CD and observability.

As Director of Product Management, lead the strategy for Zendesk's foundational support systems, focusing on integration, AI capabilities, and team leadership.

The role involves managing and developing a sales team focused on generating new business opportunities, while collaborating with marketing and sales teams to enhance performance and achieve growth across the Hispanic market.

As a Senior AI Services Consultant, you will provide technical solutions and guidance for customers implementing AI technologies, ensuring successful project delivery and high customer satisfaction. You'll oversee AI project management and help optimize customer outcomes through effective adoption of Zendesk's AI offerings.

The Manager, AI Success Strategist will lead a team to deliver measurable AI outcomes for customers, focusing on adoption and retention metrics through strong product expertise and people leadership.

The Employee Service Sales Specialist at Zendesk drives B2C and B2B growth, supports sales cycles, analyzes ROI, and collaborates with product development, focusing on achieving sales quotas and enhancing employee experiences.

The Director of Sales Strategy will lead revenue growth initiatives, mentor teams, collaborate with executives, and drive enterprise transformations.

As an AI Specialist, you will drive customer success by implementing AI solutions, maximizing value realization, and serving as a trusted advisor to clients.

The Renewals Manager drives the contract renewal process for SaaS customers, ensuring retention and revenue growth through strategic planning and stakeholder collaboration.

Responsible for designing, building, and maintaining a real-time data ingestion platform, focusing on data quality, scalability, and observability while collaborating across teams.