The Ampin App
deep insights into the Atlassian community

Zendesk is building production AI systems that autonomously resolve customer service tickets at scale across 100,000+ accounts and is expanding the platform foundation to power reliable, secure, and measurable agentic services enterprise-wide. This role focuses on creating the platform layer—not one-off tools—so teams can build, operate, and scale agentic services with shared infrastructure, control planes, and developer tools. You’ll design and implement core platform services including runtime orchestration, workflow execution, memory and context management, state handling, fault recovery, observability, evaluation, and governance to ensure enterprise readiness. You’ll define platform APIs and developer experience, collaborate with product, AI, and infrastructure teams, and bring a systems-thinking approach with agent-architecture expertise (planning, tool dispatch, memory, error recovery) and protocol-awareness for open standards like MCP. Zendesk emphasizes a hybrid work model, diversity and inclusion, notes that AI may screen applications, and remains an equal opportunity employer offering accommodations for applicants with disabilities.

Zendesk is hiring a Staff ML Engineer for the Agentic AI focus within the AI Agents team, with options to work in Melbourne, Sydney, or remotely in AU. The role involves supporting production AI agents that autonomously resolve customer service tickets across 100k+ Zendesk accounts, planning multi-step resolutions and executing actions via live APIs to close tickets without human intervention. The agent core uses an iterative planning architecture with goal decomposition, a reusable skills registry, execution and evaluation loops, and a self-learning mechanism that turns successful patterns into new skills, with performance matching GAIA-class benchmarks and an internal suite of 158+ scenario tests plus continuous regression checks. They seek to push architecture further, addressing issues like ambiguous goals, memory interference across concurrent sessions, selective skill acquisition, and agent-to-agent delegation, while building domain-specific RL models and a hardened evaluation/CI process plus enterprise-grade guardrails. Requirements include 5+ years building production ML/AI systems with hands-on agent experience, strong evaluation instincts (including internal evals), optional RL expertise for language models, and Python/PyTorch fluency, withZendesk highlighting hybrid work, diversity and equal opportunity commitments and accommodations.

Tempo is a global technology company with 30,000+ customers, including a third of Fortune 500, offering integrated solutions for time management, resource planning, budgeting, roadmapping, program management, and reporting that help modern teams turn vision into value. Originating in 2007 and now the #1 time management add-on for Jira, Tempo has grown into a trusted name in the Atlassian ecosystem and aims to be a tech company with a heart. The Senior Solutions Engineer role in Sydney, APAC, is a trusted advisor for Tempo’s Strategic Portfolio Management and enterprise agility solutions, focusing on mid-market and enterprise accounts and blending technical mastery with business value. Responsibilities include strategic value selling, AI-enabled SPM advocacy, partner enablement, technical pre-sales leadership through discovery, architecture reviews, RFPs and POCs, plus feeding customer insights back to product. Requirements include 5+ years of solutions engineering or enterprise consulting in enterprise B2B, domain expertise in SPM/PPM/financial planning/resource capacity/enterprise agility, AI/data literacy, ecosystem and Atlassian Cloud experience a plus, with a remote-first environment and extensive benefits and growth opportunities.

Tempo serves over 30,000 customers—including a third of Fortune 500 companies—and provides an integrated suite for time management, resource planning, budgeting, roadmapping, and program management, building on its status as the #1 time management add-on for Jira in the Atlassian ecosystem since its 2007 origins. The Senior Solutions Engineer role, based in Sydney, APAC, acts as a trusted advisor for Tempo’s Strategic Portfolio Management and enterprise agility solutions, targeting mid-market and enterprise accounts with a blend of technical mastery and value-based SaaS sales. Responsibilities include strategic value selling, AI and SPM advocacy, partner and ecosystem enablement, deal strategy and technical validation, feeding customer insights back to product, and developing scalable demo environments and technical documentation. Candidates should have 5+ years in Solutions Engineering or enterprise consulting in enterprise B2B SaaS, with strong domain expertise in SPM/PPM/resource management or enterprise agility, AI/data literacy, and deep knowledge of the Atlassian Cloud ecosystem. Tempo offers a remote-first environment, unlimited vacation, comprehensive benefits, professional development opportunities, travel and events, and a commitment to an inclusive, equal-opportunity workplace where employees can help shape the future of enterprise productivity software.