The Ampin App
deep insights into the Atlassian community

Atlassian's mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that support collaboration across diverse teams and processes, even powering milestones such as NASA's Mars rover and Cochlear's hearing solutions. The Central AI Org is dedicated to driving AI innovation across all Atlassian products and platforms, delivering seamless AI experiences and building a robust Atlassian AI infrastructure, including a centralized Search, Q&A, and Conversational AI system that integrates with all Atlassian products and exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by building productive, reliable tools for developing, deploying, measuring, and operating AI/ML experiences, with tight integration to the Atlassian Data Platform and strict security and data-usage policies. Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. In the Senior Machine Learning System Engineer role, you will develop and refine the core infrastructure that enables engineers and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborate with product teams like Jira and Confluence to solve ML challenges, curate high-quality datasets and fine-tune LLMs, lead projects from design to launch, deliver solutions used by millions, perform code reviews and documentation, and mentor junior engineers.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where it has a legal entity. They are seeking a Senior Machine Learning Engineer to join the AI Context team within Rovo + AI, building agentic LLM harnesses for high-visibility Rovo AI features and context-aware experiences for users and agents. The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, comprising software engineers and ML engineers who collaborate with Rovo + AI and product teams to deliver contextual insights and personalization. In this role you will design, build, ship, and operate agentic LLM harness solutions, improve quality and reduce cost of production LLM systems, and contribute to evaluation, fine-tuning, and model serving while defining long-term technical direction. You will navigate complex systems, lead small virtual squads, act as a thought partner to Engineering Managers, influence technical direction across stakeholders, and coach junior engineers to help the team achieve key results.

Zendesk is transitioning from Systems of Record to Systems of Action with the Resolution Platform, aiming to build a high-performance runtime for fleets of AI agents to perceive, reason, and act, addressing the Orchestration Trap and driving AI-driven revenue. The company already runs production AI agents that autonomously resolve tickets across 100,000+ Zendesk accounts, executing multi-step plans, performing live API actions (refunds, order modifications, escalations), and closing tickets without human input, with a self-learning loop that turns successful resolutions into new skills and reaches parity with GAIA-class benchmarks. They seek to push architecture further by solving plan decomposition under ambiguity, memory-tier interference, selective skill acquisition, and multi-agent delegation via Agent-to-Agent protocols, while also building domain-specialized models and an RL-based training infrastructure to reduce inference cost over a 6–12 month period. The role requires 5+ years of experience building production ML/AI systems with hands-on work in agent architectures, strong evaluation instincts, Python and PyTorch fluency, and familiarity with an agent framework, plus optional depth in RL for language models. Zendesk emphasizes a hybrid work model, equal opportunity and inclusion, and transparent AI-screening practices, with commitments to diversity, accessibility accommodations for applicants with disabilities, and a policy to provide accommodations on request.

Zendesk is redefining how the world delivers service with a fast-growing AI product line (about $200m ARR) used by over 20,000 customers, and the BDR role targets high-growth Enterprise accounts in Australia & New Zealand to shape AI adoption for customer experience. You'll engage exec-level prospects to understand CX and AI gaps, drive high-value pipeline through targeted outbound, partner with Account Executives, Product and Marketing, qualify opportunities with a consultative approach, own your pipeline, and work on an onsite team in Melbourne three days a week. Requirements include 2+ years in sales/BDR, a competitive, resilient, self-starting mindset, curiosity for AI/SaaS and modern GTM, strong written and verbal communication, a desire for a long-term software sales career, and a bachelor’s degree is preferred. Why Zendesk: a hyper-growth AI engine, APAC GTM team, and a culture that rewards curiosity, grit, and impact, plus a hybrid model balancing in-person collaboration with remote work. Zendesk is an equal opportunity employer committed to diversity, equity, and inclusion; it may use AI or automated decision systems to screen applications, and provides accommodations for applicants with disabilities, with US applicants able to review their EEO rights.

The Enterprise Security Engineer at Atlassian is a hands-on role responsible for implementing, operating, and improving security controls across identity, endpoints, cloud, SaaS, data, and workforce technologies, turning security strategy into practical, secure-by-default controls that don’t slow the business. They partner with Enterprise IT, Corporate Engineering, SRE/Platform teams, Legal, Privacy, Product Security, and other stakeholders, participate in Atlassian’s Customer Zero initiative, and are based in Australia/New Zealand. Key duties include designing and maintaining security controls across identity, access, cloud (AWS/GCP), SaaS, and data-protection domains; remediating gaps; enabling secure baselines; conducting security reviews for new tools and workflows; and supporting cyber-related physical security integrations. The role also covers identity lifecycle, privileged access, authentication/authorization, insider risk monitoring, cloud and endpoint protection, DLP and data classification, automation, IaC/CI-CD security checks, on-call rotations and post-incident reviews, and SaaS supply chain/vendor risk assessments. Success is measured by timely delivery of tasks and deployments, reduction of security escalations, development of reliable automation, closure of posture gaps, and effective cross-functional collaboration and continuous learning.

The Enterprise Security Engineer is a hands-on role responsible for implementing, operating, and improving security controls across corporate architecture, cloud services, endpoints, identity, data, and workforce technologies, translating strategy into practical, secure-by-default measures. They collaborate with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders, and participate in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption, based in Australia/New Zealand. The role designs, implements, operates, and maintains security controls across identity, endpoints, network, cloud (AWS/GCP), SaaS, and data protection, remediating gaps and rolling out secure baseline configurations and paved-path implementations. It includes strengthening identity and access governance, monitoring insider risk, securing service accounts and bot credentials, and implementing guardrails, DLP, and data-classification across cloud, SaaS, and endpoint environments, while contributing to security reviews for new tools. You’ll also build automation and infrastructure-as-code security checks, participate in on-call rotations and post-incident reviews, and assess SaaS supply chain and third-party risk, with success measured by timely delivery, reduced toil, improved security hygiene, and effective cross-functional collaboration.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and transform cloud and process workflows at scale. The company-upholds core values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, while fostering a diverse, inclusive culture in a hybrid work environment. Lucid serves over 100 million users and counts Fortune 500 and global brands like Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile among its customers, with rapid growth and hundreds of thousands of new users each month. The current APAC opportunity is for a strategic Business Development Representative who partners with Account Executives, uses multi-channel outreach, and develops deep product knowledge to drive deals, supported by Salesforce, Salesloft, and ZoomInfo. The role requires 6–12 months of sales or customer-facing experience, strong communication and coachability, and a hybrid Melbourne-based setup (two days in the office); preferred qualifications include SaaS experience, a track record of quotas or pipeline success, and a degree.

Zendesk is hiring a Senior SMB Account Executive to grow its SMB base in SaaS by acquiring new customers and expanding existing relationships through data-driven prospecting and value-based selling. Responsibilities include driving top-line revenue, nurturing relationships for retention, cross-selling additional products, maintaining a robust Salesforce pipeline, delivering forecasts, and collaborating with internal teams to optimize sales strategies. Requirements include a BA/BS or equivalent, 4+ years of B2B SaaS sales or solution engineering experience with a proven track record, strong presentation and negotiation skills, prospecting and territory planning abilities, and familiarity with Salesforce and Clari. The role is hybrid, requiring some in-office presence with the schedule determined by the hiring manager, plus remote work part of the week, with Zendesk offices worldwide for in-person collaboration. Zendesk highlights equal opportunity and inclusion, notes that AI or automated decision systems may screen applications, and provides accommodations for disabilities via a designated email contact.

Zendesk is hiring a Senior Product Sales Specialist for its Employee Service division to drive growth in B2B and B2C SaaS by building strategic relationships and expanding both new and existing customer partnerships. The role combines winning deals with deep technical discovery, leading conversations with IT, HR, Facilities, and Finance to map environments, integrations, and data models, and delivering tailored demos and proofs-of-concept. Responsibilities include strategizing sales opportunities with core teams, owning pipeline and bookings, handling technical objections, empowering the regional sales team, and channeling customer feedback to product development. Must-haves include proven B2B SaaS sales experience, technical credibility in demonstrations and integrations, strategic communication with decision-makers, complex deal navigation, collaboration, and travel readiness; nice-to-haves include ITIL knowledge, platform experience, AI/automation familiarity, cross-functional service depth, and a BA/BS or equivalent. The role is hybrid with on-site and remote work, Zendesk emphasizes diversity and inclusion, AI may be used to screen applicants, and accommodations for disabilities are available.

Zendesk is rapidly expanding its AI-driven CX platform, with a $200m ARR AI business, and is seeking a BDR to drive growth across SMB, Commercial, and Enterprise accounts in Australia and New Zealand by helping clients adopt AI for customer experience. In this role, you won’t just schedule meetings—you’ll uncover real pain, build value, and influence multi-million-dollar deals from the outset. You’ll engage exec-level prospects, drive high-value pipeline through outbound prospecting, collaborate with Account Executives, Product, and Marketing, qualify opportunities with a consultative, value-led approach, and manage your pipeline while being part of a Melbourne-based onsite team three days a week. Candidates should have 2+ years in sales or business development (SMB, Commercial, or Enterprise), a competitive and resilient mindset, curiosity about AI and SaaS, clear communication, a desire for a long-term software sales career, and a bachelor’s degree is preferred. Zendesk offers a hybrid work model, the opportunity to work with advanced CX and AI technology within a high-growth APAC GTM team, and a commitment to diversity and inclusion, with AI screening possibly used in applications and accommodations available for applicants who need them.