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Zendesk is seeking an SMB Account Executive in Australia to grow its SaaS customer base by acquiring new clients, expanding existing accounts, and aligning Zendesk products with customers' business goals. The role emphasizes building broad relationships, cross-selling, using data and customer insights to prospect, and leading competitive, value-based sales cycles. You’ll manage a robust Salesforce-driven pipeline, provide accurate forecasts, and collaborate with internal teams to improve sales strategies and achieve revenue targets. Candidates should have a BA/BS or equivalent, at least 2 years of B2B SaaS sales or solution engineering experience, strong negotiation and prospecting skills, multi-level relationship management, and familiarity with Salesforce and Clari. Zendesk promotes a hybrid, inclusive culture, is an equal opportunity employer, and notes that AI may be used in screening; accommodations for disabilities are available upon request.

Zendesk is hiring in Melbourne/Sydney for an AI Agents role where production AI agents autonomously resolve customer service tickets across 100,000+ Zendesk accounts by decomposing issues into multi-step plans and executing actions via live APIs to close tickets without human intervention. The team uses a proprietary iterative architecture—goals decompose into plans, skills are pulled from a registry, execution is evaluated, and results feed the next attempt—with successful patterns synthesized into new skills and the system learning from its history; on GAIA-class benchmarks they match top results, and internally 158+ scenario-based evaluations run continuously with regression detection. What you’ll own includes advancing architecture to handle ambiguous goals, memory and concurrency challenges, and multi-agent delegation; leading domain-specific RL training for customer service resolution over a 6–12 month build; and creating evaluation gates that are integrated into CI. You should have 5+ years building production ML/AI systems with shipped agent architectures, experience with internal evaluations (not just public benchmarks), Python and PyTorch fluency, at least one agent framework (and the judgment to customize when needed), with bonus depth in RL for language models and reward shaping. Zendesk emphasizes its mission to improve customer experience, offers hybrid work, and commits to diversity and inclusion, noting that AI may screen applicants; they are an equal opportunity employer and provide accommodations for applicants with disabilities.