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Atlassian supports flexible work arrangements and hires in any country with a legal entity, giving employees control over family and personal priorities. The Workplace team drives Atlassian’s global footprint, workplace programs, gatherings, and office experiences through partnerships with all business functions. The Workplace Data and Tooling Specialist will support operational delivery for Workplace Teams and cross-functional partners (including Engineering), overseeing data, tools, and workflows to enable data-driven decisions, and will report to the Head of Workplace Programs in Sydney. Key responsibilities include developing metrics and reporting for real estate decisions (portfolio balancing, footprint expansion/contraction, space programming), building scalable insights with Tableau/Looker/Databricks, maintaining dashboards and program reports (Office Pulse surveys, Atlassian on Tour, Team Camp), and designing Jira Service Management ticket classification workflows. They will also compile data for quarterly People Insights Executive Operations reports and collaborate with Finance and Engineering to ensure data quality and integrate new data sources into SQL/Databricks and BI layers.

Atlassian offers flexible work locations and hires in any country where it has a legal entity. They’re hiring a Global HRBP for part of the Engineering organization to support the AI team, partnering with the Engineering HRBP Lead and CTO to build a high‑performing team and shape the culture. The role partners with leadership to develop and execute transformative people programs aligned with the company’s vision and R&D, and collaborates with regional HRBPs, COEs, and Strategy & Operations to deliver talent strategy and operational plans. It involves designing the future organization model, ensuring core HR processes, using People Analytics for insights, and driving organizational design, workforce planning, and change management. The role also emphasizes building an inclusive culture through DEI initiatives, coaching senior leaders, and building programs with regional partners, COEs, and Sales/G&A Operations teams.

Atlassian supports flexible work arrangements and hires globally where it has a legal entity, with interviews and onboarding conducted virtually as part of its distributed-first approach. The role is a Sales Development Representative who partners with the Sales and Success Account Teams to build pipeline and deliver a delightful customer experience, reporting to the APAC Regional SDR Manager. Responsibilities include outbound prospecting in a quota-carrying role, qualifying leads through proactive outreach and research, making cold calls and emails, collaborating with sales/marketing/partner/operations teams, navigating objections with value-driven messaging, articulating product value, writing targeted emails, and building pipeline with Account Executives and Marketing, using Salesforce, Gong, Outreach, and LinkedIn Navigator. No prior SDR experience is required; candidates passionate about starting a sales career or transitioning into software sales are welcome, with a regional focus on ANZ, India, Greater China, Korea, or Southeast Asia. The ideal candidate is highly motivated and accountable, communicates clearly and curiously, demonstrates integrity, adapts to change, is impact-focused and creative, and puts customers at the center of everything they do.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires globally, with virtual interviews and onboarding as part of its distributed-first approach. - You will join the Marketplace Topline team within FP&A. - The team provides financial insights and supports data-driven decision-making, collaborating with cross-functional stakeholders to shape strategic initiatives and drive sustainable growth. - Responsibilities include supporting close, forecasting, and planning for the Marketplace business, and analyzing financial data to identify trends, risks, and revenue opportunities. - They also collaborate to optimize revenue processes, provide financial insights for strategic initiatives, and monitor and report marketplace performance with recommendations for improvement.

The Rovo Mobile team is seeking an experienced principal mobile developer with React Native expertise to help build the AI vision on mobile devices and maintain the Rovo app at Atlassian. You will collaborate with design to develop new features and workflows, verify their impact and usability, and be responsible for feature development and regular app releases. The role emphasizes customer focus, building high-quality features and infrastructure that are fast, testable, and scalable, and driving collaboration with engineers, designers, and managers to address user pain points. You will contribute to code reviews and documentation, tackle complex bug fixes, and lead projects from technical design and implementation through launch to operation. You will also onboard and mentor junior engineers.

The Rovo Mobile team seeks an experienced principal mobile developer skilled in React Native to help build AI vision on mobile and maintain the Rovo app at Atlassian. You will collaborate with design to develop new features and workflows in the Rovo Mobile app and verify their impact and usability, while delivering regular releases with the team. As an engineer on the team, you will be responsible for feature development and building fast, testable, scalable infrastructure, focused on customer-centric experiences. You’ll drive collaboration with engineers, designers, and managers to understand user pain points, iterate on solutions, contribute to code reviews and documentation, and tackle complex bug fixes, leading projects from technical design through launch to operation. The role also includes onboarding and mentoring junior engineers.

The Rovo Mobile team seeks an experienced principal mobile developer with React Native to help build AI vision on mobile and maintain the Rovo app at Atlassian. You will collaborate with design to develop new features and workflows and verify their impact and usability. As an engineer on the team, you’ll own feature development and regular releases, and contribute to code reviews, documentation, and complex bug fixes while building fast, testable, and scalable infrastructure. The team is customer-focused, aiming to build experiences and select technologies that empower users, and you’ll drive collaboration with engineers, designers, and managers to understand user pain points and iterate. You’ll lead projects from technical design through implementation and launch to operation, and onboard and mentor junior engineers.

Atlassian is seeking a Principal Security Engineer with a focus on AI/ML to secure models, data pipelines, and inference services, with the ability to hire from any location in Australia and New Zealand due to time zone overlap. The role centers on safeguarding AI platforms and product experiences, partnering across engineering, platform, infrastructure, and privacy to foster a secure, trustworthy AI that meets industry standards. As the Principal Product Security Engineer, you’ll serve as the technical SME, promote automation, review designs and architectures, and empower engineering partner teams with the latest tools and methodologies for AI security. On day one, candidates should have hands-on experience securing AI/ML systems, cloud security architecture for AI/ML workloads, coding in Java, JavaScript, Python, or Go (and at least one scripting language), and a track record of leading large-scale projects and providing SME guidance. Nice-to-have qualifications include security-focused roles, application security for ML/LLM services, mentoring, CVEs, open-source security contributions, and delivering industry presentations.

Atlassian is hiring a Principal Security Engineer focused on AI/ML to protect models, data pipelines, and inference services with innovative defences and governance, with eligibility open to candidates in Australia and New Zealand due to sufficient time zone overlap. The role involves leading security for AI platforms and product experiences, partnering across engineering, platform, infrastructure, and privacy to foster a culture of secure and trustworthy AI that meets high industry standards. The Principal Product Security Engineer will act as the technical SME, promoting automation, reviewing designs, and driving security teams to equip engineering partner teams with the latest tools, techniques, and methodologies to enhance AI security. On day one, candidates should have hands-on experience securing AI/ML systems, cloud security architecture for AI/ML workloads, coding in Java, JavaScript, Python, or Go (and at least one scripting language), and experience leading large-scale projects with SME guidance to stakeholders. Desirable extras include security-focused roles, application security for ML/LLM services, mentoring, CVEs, open-source contributions, and delivered industry presentations.

Atlassian is recruiting a Principal Security Engineer with an AI/ML focus to defend models, data pipelines, and inference services and to lead the drive for secure, trustworthy AI across engineering, platform, infrastructure, and privacy. The role can hire eligible candidates from any location in Australia and New Zealand with sufficient time-zone overlap; interested candidates should apply today and chat with the Recruitment team. On day one, the candidate should act as a Technical SME, promoting automation, reviewing platform designs and architectures, and equipping engineering partner teams with tools and methodologies to enhance AI security. Required early qualifications include hands-on experience securing AI/ML systems, cloud security architecture for AI/ML workloads, coding in Java, JavaScript, Python, or Go, and at least one scripting language, plus experience leading large-scale projects. Nice-to-have items include broader security-focused roles, application security for ML/LLMs, mentoring security practitioners, CVEs, open-source security contributions, and delivering industry presentations.

Atlassian offers flexible work options—office, home, or hybrid—and can hire in any country with a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The role is a Principal Product Manager responsible for the Confluence Onboarding experience, focusing on activating new customers from acquisition and cross-sell motions and shaping the first-time admin experience. You will own the onboarding strategy and roadmap for new Confluence admins, understanding their jobs-to-be-done and guiding them to the right product areas to realize value in the first weeks. Responsibilities include partnering with Design and Research to build empathetic, intuitive experiences and collaborating with Marketing, Core Product, and Growth to connect onboarding with upstream motions; plus working with Engineering and Data Science to define metrics and run experiments. The role aims to drive alignment across Atlassian to deliver a cohesive, value-driven admin journey that leads to activation and expansion of new customers.

We are seeking a hands-on StarRocks Engineer on the Developer Observability team to architect, operate, and optimize large-scale StarRocks deployments powering real-time analytics and observability dashboards. The role requires deep expertise in StarRocks internals, performance tuning, operational excellence, and integration with modern data pipelines. You will design, build, and maintain production-grade StarRocks clusters for high-volume, low-latency analytics, and lead schema/data modeling for clickstream, dimensional, and time-series data with deduplication, upserts, and efficient partitioning. You will optimize query performance using materialized views, indexes, and advanced StarRocks features (vectorization, pipeline execution), diagnose and resolve high-severity incidents, and implement permanent fixes and guardrails; plan capacity, scaling, and resource management for multi-tenant environments. You will develop backup, disaster recovery, and upgrade strategies with minimal downtime, implement security best practices (AuthN/AuthZ, encryption, auditing, and data masking), and collaborate with engineering and SRE teams to define SLOs, observability dashboards, and alerting for StarRocks infrastructure.

Atlassian offers flexible work options—office, remote, or a mix—and hires people in any country where it has a legal entity. You’ll join a global Leadership Operations team of over 100 Executive and Administrative Assistants that supports Atlassian leaders through a centralized, collaborative structure. They are hiring for Executive Assistant roles to support leaders across teams, starting with a single posting and matching candidates to open opportunities based on their skills and experiences. The role includes calendar management across time zones, event planning, cross-functional collaboration, rhythm of business activities, financial and travel management, and leadership engagement, using tools like the Atlassian suite, Google Workspace, Slack, Zoom, and Workday. Atlassian emphasizes career growth with transparent role expectations, defined progression paths, opportunities to lead projects, and internal mobility to take on new challenges beyond the current role.

Atlassian offers flexible work arrangements and can hire in any country with a legal entity. The DX Solutions Engineering Team at Atlassian seeks a Pre-Sales Solutions Engineer to drive the DX product in APAC, serving as the solution expert throughout the sales cycle for Upmarket and Enterprise customers. The role includes owning the technical partnership with direct sales, partners, and account teams, and tracking customer profiles, complexity, strategic roadmaps, and solution success to optimize outcomes in the territory. You will conduct rigorous customer discovery, clearly defining the current state and mapping needs to Atlassian products, platforms, and solutions, while architecting innovative technical solutions and integrations. You will maximize opportunities through cross-product expansion, command product expertise in pre-sales, forge strategic alliances with Account Executives, and advocate for customers by capturing feedback and competitive intelligence for Product Management.

Atlassian allows employees to work from the office, from home, or a combination of both, giving them flexibility to balance family, personal goals, and priorities. They can hire people in any country where they have a legal entity. They are seeking a Senior Site Reliability Engineer to join the Jira SRE team, which owns the infrastructure, tooling, and automation that Jira Cloud runs on to meet customer reliability expectations. The ideal candidate is a technical leader with current reliability trends, mentoring experience, and a strong background in modern cloud infrastructure, programming, and operations, capable of improving services and processes. The role reports directly to the Senior Engineering Manager.

Atlassian offers flexible work locations (office, home, or hybrid) to give Atlassians control over family, personal goals, and other priorities, and hires people in any country where there is a legal entity. The Jira AI Org drives AI innovation across Jira, delivering seamless AI experiences and building robust shared AI capabilities, with goals to make Jira smarter and more intuitive and to help users progress quickly by leveraging AI, including horizontal capabilities and potential integrations beyond Atlassian. The Senior Machine Learning Systems Engineer role involves collaborating with software engineers, data scientists, and product managers to solve complex problems, leading projects from design through launch, delivering robust ML solutions that reach millions, and mentoring junior team members, including curating ML datasets and fine-tuning open-source or proprietary LLMs. On day one, the position requires extensive experience building ML/AI solutions (4+ years) and proven ability to develop, deploy, and maintain end-to-end ML systems with data engineering, model serving, and monitoring, plus expert proficiency with GenAI frameworks and LLM fine-tuning and RAG systems. In addition, strong candidates should have Python and ML framework expertise (PyTorch, TensorFlow, or JAX), familiarity with Java and Kotlin, and experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models.

Atlassian lets employees choose where to work—office, home, or a mix—and hires in any country where it has a legal entity. Its mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that support collaboration across diverse teams. The Central AI Org drives AI innovation across Atlassian, building horizontal AI capabilities, a centralized Search/Q&A/Conversational AI system, and exploring external AI integrations. The AI & ML Platform Team aims to democratize AI/ML by developing tools to build, deploy, and operate AI experiences, integrating with the Atlassian Data Platform while enforcing security and data usage policies. As a Senior Machine Learning System Engineer, you would help create the core infrastructure for ML models and pipelines, collaborate with Jira and Confluence teams, curate datasets and fine-tune LLMs, lead projects from design to launch, and mentor junior engineers while driving cross-team initiatives.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, aligning with its mission to unleash the potential of every team. Its well-known products like Jira, Confluence, and Bitbucket support collaboration across diverse teams and have enabled significant achievements, such as the NASA Mars Rover launch and Cochlear’s ability to help those born deaf hear. The Central AI Org drives AI innovation across Atlassian products, aims to deliver seamless AI experiences, and is building a centralized Search, Q&A, and Conversational AI system while exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML by creating productive, secure tools that integrate with the Atlassian Data Platform to help teams develop, deploy, and measure AI/ML experiences. As a Senior Machine Learning System Engineer, you would help develop core infrastructure, collaborate with product teams like Jira and Confluence, curate datasets, fine-tune LLMs, lead projects from design to launch, and mentor junior engineers while delivering solutions used by millions.

- Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to support employees' family and personal goals. - Atlassian's mission is to unleash the potential of every team, with Jira, Confluence, and Bitbucket powering collaboration across diverse teams and industries, including examples like NASA and Cochlear. - Central AI Org drives AI innovation across Atlassian products, building horizontal AI capabilities and a centralized Search/Q&A/Conversational AI system, and exploring integration with AI solutions beyond the Atlassian ecosystem. - The AI & ML Platform Team aims to democratize AI/ML for Atlassian's teams and ecosystem by creating productive, reliable tools for development, deployment, measurement, and operation, while integrating with the Atlassian Data Platform and upholding security and data usage policies. - The Senior Machine Learning System Engineer role involves developing core infrastructure, partnering with Jira/Confluence teams to solve ML challenges, curating datasets, fine-tuning LLMs, leading projects from design to launch, delivering scalable AI features used by millions, and mentoring junior engineers through code reviews and documentation.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity. As a Senior ML System Engineer on the AI & ML Platform, you’ll build and refine the core infrastructure that enables Atlassian engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence. Responsibilities include curating high-quality ML datasets, fine-tuning open-source or proprietary LLMs, solving complex infrastructure and architectural challenges, leading projects from design to launch, and delivering code reviews, documentation, bug fixes, and mentoring junior teammates. The role requires 5+ years of experience in building ML/AI infrastructure, comprehensive ML lifecycle expertise, large-scale distributed system design, and MLOps/automation, with the ability to partner across engineering teams on company-wide initiatives. Preferred qualifications include expert Python and ML framework proficiency (PyTorch, TensorFlow, or JAX), familiarity with Go/Java/Scala, hands-on cloud experience (AWS, GCP, or Azure) and AI services, big data tooling (Spark, Ray, or Dask), performance optimization, and experience with generative AI systems and retrieval-augmented generation.

Atlassian offers flexible work options—office, remote, or hybrid—and hires people in any country where it has a legal entity. The Senior ML System Engineer on the AI & ML Platform team will build and refine the core infrastructure that lets software engineers, ML engineers, and data scientists create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence to tackle their ML challenges (datasets, fine-tuning open-source LLMs, or accessing proprietary LLMs). The role involves leading projects from design to launch, delivering AI features used by millions, performing code reviews and documentation, fixing bugs, partnering across engineering teams on company-wide initiatives, and mentoring junior engineers. Requirements include 5+ years of experience in building ML and AI infra/platform/system, comprehensive ML lifecycle expertise, large-scale distributed systems design, and MLOps/automation, plus strong Python and ML framework skills (PyTorch, TensorFlow, or JAX) with familiarity in Go/Java/Scala, cloud platforms (AWS, GCP, Azure), and big data tools (Spark, Ray, Dask). Preferred experience includes generative AI systems, developing and fine-tuning LLMs, and building retrieval-augmented generation (RAG) systems.

Atlassian is seeking a highly motivated Principal Program Manager to join the TA Strategic Programs Team, responsible for shaping and executing high-impact, cross-functional initiatives that improve the effectiveness and innovation of global recruiting programs. You will partner with TA leadership, business executives, Engineering, People Insights, and external partners to identify critical talent needs, develop program roadmaps, and design, launch, and scale programs aligned with strategic workforce goals to deliver measurable business value. The role leads end-to-end strategy, planning, execution, and measurement of complex, multi-year TA programs, building strong cross-functional relationships, driving organizational change through communication plans, training, and enablement strategies, and ensuring adoption of new processes and technologies. You will leverage data and analytics to assess program effectiveness, stay informed on industry trends and best practices, pilot innovative solutions to enhance candidate, interviewer, and hiring manager experiences, and proactively identify risks with mitigation plans. The position supports a remote work environment, allows Atlassians to work where they prefer, and the company can hire in any country with a legal entity; you will mentor program managers and interface with Atlassian teams globally.

At Atlassian, you can work from an office, home, or a hybrid setup, and hires are global with virtual interviews and onboarding as part of being a distributed-first company. The role involves delivering large-scale people and experience programs and partnering with Business, People Operations, Engineering, Data Governance, and AI teams to advance priorities, strategies, and transformation plans. It drives Customer Zero objectives by advocating for feature enhancements across Atlassian products while embedding people processes into the Atlassian System of Work. You will manage the end-to-end delivery lifecycle of programs—scheduling, resourcing, budgeting, tracking, benefits, and executive communication—and facilitate change management to ensure adoption. Finally, it acts as a strategic partner by fostering relationships across cross-functional teams and stakeholders, and supports the AI and Data Program delivery practice, including cadences and Agentic AI solutions for program delivery and reporting.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of their distributed-first approach. With sufficient timezone overlap, they can hire eligible candidates for this Principal Software Engineer role from any location in Australia and New Zealand. They are looking for Principal Software Engineers to join one of the Sydney engineering teams (e.g., Jira Server, Jira Cloud, Growth), with leadership, mentorship, and high responsibility. The stack is primarily Java, but Atlassian values learning and adaptability and also uses Kotlin, Python, and Ruby. For interviews, candidates code in the language they are strongest in, as the assessment focuses on core developer skills rather than tool constraints.

At Atlassian, you can work from an office, from home, or a combination of both, and the company hires globally where it has a legal entity, with interviews conducted virtually as part of its distributed-first approach. You will join the Data Center Revenue team within FP&A, which is dedicated to leading revenue forecasting and reporting in alignment with strategic initiatives. The role supports financial deliverables related to close, forecasting, and planning for the Data Center business and Cloud migration initiatives. You will collaborate with cross-functional teams to develop migration strategies and plans, and analyze data to support decision-making and optimize migration processes. You will monitor and report on migration progress, identifying and addressing any issues or risks.

DX is a fast-growing SaaS company that delivers actionable insights into developer experience and productivity, serving clients like Netflix, Uber, Dell, Pfizer, and Vanguard. Backed by ICONIQ and other investors, it is headquartered in Salt Lake City, profitable, and has been tripling revenue year over year. The role is a Customer Success Manager who partners with customers to drive engineering transformation using the DX platform, managing an important segment through implementation, rollout, and renewal while focusing on utilization, business alignment, and high-value use cases. You will join a collaborative CSM team reporting to the VP of Customer Experience, with a mandate to build an exceptional customer success function and influence key decisions, focusing on proactive and strategic work rather than firefighting. Responsibilities include owning the full lifecycle, coordinating internal teams, creating a customer success plan, achieving renewal and expansion targets with renewal forecasting, and identifying expansion opportunities by aligning DX with customer goals.

Atlassian is seeking a Cloud Network Engineer for its Edge Networking team to scale cloud networking services and ensure a reliable network experience for users of Jira, Confluence, Trello, and Bitbucket. The Edge Networking team owns the cloud infrastructure, tooling, and automation that support Atlassian’s global customers. The ideal candidate is a technical leader with knowledge of current industry trends in networking, proxies, and reliability, who can balance operational and project work, share knowledge, and bring programming and operational experience to drive modernization. Responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events, contributing to large projects, designing new network features, investigating security, reliability, and cost efficiency, and mentoring and hiring. The role reports to the Senior Engineering Manager of Edge Networking and offers flexible work locations (office, home, or hybrid) with hiring in any country where Atlassian has a legal entity.

The role is a Cloud Network Engineer on Atlassian's Edge Networking team, responsible for scaling cloud networking services to provide a reliable network experience for global users of Jira, Confluence, Trello, and Bitbucket. The ideal candidate is a technical leader who stays current with networking, proxies, and reliability trends, thrives in teams balancing operational and project work, and enjoys sharing knowledge. They should bring deep expertise in modern cloud networking infrastructure, programming, and operational experience, with a drive to change the status quo to improve reliability, performance, scalability, and cost efficiency. Responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events, contributing to major projects delivering new networking features, designing new network features, investigating security, reliability, and cost improvements, and mentoring/hiring. Atlassian supports flexible work arrangements (office, home, or hybrid) and can hire in any country with a legal entity, with the role reporting to the Senior Engineering Manager of Edge Networking.

Atlassian is hiring a Cloud Network Engineer for the Edge Networking team to scale cloud networking services and own the cloud infrastructure, tooling, and automation that enable global customers of Atlassian products like Jira, Confluence, Trello, and Bitbucket to have a reliable network experience. The ideal candidate is a technical leader who stays current with industry trends in networking, proxies, and reliability, has experience in teams balancing operational and project workloads, and enjoys sharing knowledge with others. They should possess a deep understanding of modern cloud networking, programming, and operational experience, with a drive to improve reliability, performance, scalability, and cost efficiency. The role reports directly to the Senior Engineering Manager of Edge Networking, and Atlassians can work from office, home, or a hybrid arrangement, with hiring in any country where Atlassian has a legal entity. Responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events with mitigations and follow-up actions, contributing to large projects delivering new networking features, designing new network features, investigating security, reliability, and cost improvements, and mentoring and hiring.

Lucid Software is a leader in visual collaboration and work acceleration, offering the Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, and guided by values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego. The company promotes a diverse, inclusive culture and operates as a hybrid workplace with remote, office-based, or mixed arrangements depending on role and team. It has earned recognitions such as Forbes Cloud 100, Fast Company Most Innovative Companies, Fortune Best Workplaces in Technology, and People’s Companies that Care, and serves over 100 million users worldwide, with customers like Google, GE, and NBC Universal and partners including Google, Atlassian, and Microsoft. The New Logo Account Executives will drive strategic growth for new Lucid SMB customers, building relationships, closing sales opportunities, and creating business value across multiple personas while maintaining reliable forecasts and collaborating cross-functionally. Requirements include at least 1 year of SaaS/tech sales closing experience and strong communication skills, with the role being hybrid in Melbourne, Australia (office two days per week, Tuesday and Thursday); preferred qualifications include software sales experience, Salesforce proficiency, ability to manage many prospects, familiarity with Outreach or similar workflow tools, and a BA/BS degree.

Lucid Software is a leader in visual collaboration and work acceleration, offering the Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, guided by core values of innovation, excellence, empowerment, initiative, ownership, and teamwork within a diverse, respectful, and inclusive culture. The company operates as a hybrid workplace, supporting remote work, in-office work, or a mix depending on role and team to promote work-life balance. Lucid has earned recognitions such as Forbes Cloud 100, Fast Company Most Innovative Companies, Fortune Best Workplaces in Technology, and PEOPLE’s Companies that Care, and serves over 100 million users worldwide, including Fortune 500 customers like Google, GE, and NBC Universal, with partnerships with Google, Atlassian, and Microsoft. The Sales Development Representative (SDR) role partners with Enterprise Account Executives to identify and grow opportunities, drive top-of-funnel pipeline, engage strategic target accounts across industries, and support the full sales cycle while collaborating on account strategies. Requirements include a minimum of 12 months of software/SaaS sales experience, strong written and verbal communication, the ability to manage multiple projects, and a hybrid Melbourne, AUS work arrangement two days per week (Tuesday and Thursday), with preferred qualifications such as closing experience and familiarity with Salesforce, Salesloft, LinkedIn Sales Navigator, and ZoomInfo.

Lucid Software is a leader in visual collaboration and work acceleration, offering the Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality. The company upholds core values of innovation, passion and excellence, empowerment, initiative and ownership, and teamwork over ego, and fosters a diverse, respectful, inclusive culture in a hybrid workplace. Lucid has earned numerous recognitions (Forbes Cloud 100, Fast Company Most Innovative Companies, Fortune Best Workplaces in Technology, People’s Companies that Care) and serves over 100 million users worldwide, with customers like Google, GE, NBC Universal and partners including Google, Atlassian, and Microsoft. The Business Development Representative works with Enterprise Account Executives to break into and grow Lucid opportunities, focusing on account planning, prospecting, lead generation, sales calls, supporting the sales cycle, and proposals, and may manage foundational deals autonomously. Requirements include at least 12 months of software/SaaS sales experience, strong communication skills, the ability to manage multiple projects, and a hybrid Melbourne role with two in-office days (Tuesday and Thursday); preferred qualifications include closing experience, a proven ability to build qualified pipeline, and familiarity with Salesforce, Salesloft, LinkedIn Sales Navigator, and ZoomInfo.

GitLab is an open-core company with an AI-powered DevSecOps platform used by over 100,000 organizations, emphasizing collaboration, innovation, and AI-enabled productivity across the workforce. The Senior Security Engineer in the Infrastructure Security Team will lead cross-team security initiatives to strengthen GitLab’s SaaS and Self-Managed cloud infrastructure, designing and delivering security solutions from design through deployment. Responsibilities include securing cloud, container, and orchestration environments, conducting security reviews of infrastructure changes, developing secure patterns and reference implementations, remediating systemic security gaps, and mentoring engineers while aligning with the Product Security Division’s dogfooding mission. Qualifications call for strong experience securing cloud infrastructure at scale (AWS/GCP/Azure), proficiency in Go/Python/Ruby, deep knowledge of container/Kubernetes security and IaC security, policy-as-code and automated compliance, and an interest in leveraging AI for process automation; bonuses include experience in high-reliability sectors and familiarity with regulatory frameworks. GitLab offers flexible PTO, equity and stock plans, growth and parental benefits, remote-work worldwide with location eligibility, and a strong commitment to equal opportunity and accommodations.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity to help staff balance family and personal goals. The Flywheel Monetization Growth team is central to accelerating Atlassian's revenue by helping customers discover products and purchase with confidence, serving 250k+ customers across industries from Healthcare to Technology. The Growth team is a horizontal group that works across Atlassian’s product suite to influence growth trajectories. The Principal Product Manager will own the vision, strategy, and roadmap for Flywheel Monetization across Jira and Confluence land motions, leading cross-functional teams to drive measurable outcomes through experimentation and customer insight. Responsibilities include data-driven decision making, championing a customer-centric approach, operating in a matrixed, fast-iteration environment, mentoring product managers, and collaborating with Engineering, Data Science, Marketing, Core Product, and Growth to deliver a high-impact roadmap.

At Atlassian, you can work from an office, from home, or a mix of both, with interviews and onboarding conducted virtually as part of a distributed-first approach. With sufficient timezone overlap, they can hire eligible candidates from anywhere in Australia and New Zealand, and interested applicants are invited to apply and chat with the Recruitment team. They’re looking for Engineers to join Sydney engineering teams (e.g., Jira Server, Jira Cloud, Growth) in Senior Software Engineer roles that emphasize high responsibility and mentorship. While the stack is primarily Java, Atlassian also uses Kotlin, Golang, Python, and Ruby, and they hire engineers who can learn new technologies even if they don’t have Java experience. For interviews, candidates are encouraged to code in their strongest language to demonstrate their capabilities, as the goal is an accurate assessment of potential rather than adherence to a single language.

Zendesk is hiring an Employee Service Sales Specialist to grow its Employee Service SaaS business by building relationships with decision-makers, acquiring new customers, and expanding existing partnerships. The role focuses on positioning Employee Service use cases, collaborating with the sales team across the full sales cycle, and delivering ROI analyses to support purchasing decisions. Candidates should have a BA/BS, at least 10 years in HR/IT service and operations management, at least 3 years in Employee Service sales, a proven quota record, and the ability to navigate complex multi-month sales cycles with proof-of-concept stages. The position requires strong communication, an entrepreneurial, collaborative mindset, and willingness to travel, with a hybrid work model that combines in-office and remote work. Zendesk emphasizes equal opportunity, diversity, and accommodations, notes that AI may screen applications, and provides information about accessibility and EEO rights.

Atlassian supports flexible work options—office, from home, or a combination—and hires in any country where it has a legal entity. The role is Principal Machine Learning Systems Engineer on the Future Team Search Platform, delivering ML-powered, low-latency search experiences across Atlassian products with scalable runtime and robust serving infrastructure. You will tackle large, complex problems from design to launch, architect systems, develop and deploy ranking models, perform feature engineering for offline training and online inference at scale, build data infrastructure, and oversee end-to-end deployment with continuous evaluation and monitoring, while leading code reviews and cross-team collaboration. The ideal candidate has 10+ years of hands-on software/tech leadership with end-to-end SDLC responsibility, experience with ML workflows and observability at scale, a proven track record of leading AI/ML products, a CS-related degree, proficiency in Java/Python/Kotlin/Go/TypeScript, cloud experience (AWS/GCP/Azure), mentoring skills, and a customer-impact mindset. Preferred qualifications include experience with OpenSearch/Elasticsearch, developer experience or productivity, online/offline experimentation, CI/CD, and 2+ years of running search systems at scale.

Atlassian supports flexible work locations and hires globally, with the Future Team Search Platform delivering fast, reliable search across all Atlassian products through scalable, low-latency infrastructure. The Principal Machine Learning Systems Engineer role combines search, machine learning, and experimentation, requiring about 70% engineering and 30% ML to deliver ML-powered solutions that affect millions of users. Responsibilities include solving large-scale technical design problems, building ranking models, feature engineering for offline and online inference, and architecting data infrastructure for high-velocity search and experimentation data, plus end-to-end production deployment with monitoring. The role also entails leading code reviews, documentation, mentoring junior engineers, partnering across teams on company-wide programs, and communicating complex concepts to stakeholders. Required background includes 10+ years of software leadership, experience with ML workflows at scale, a track record of launching AI/ML products, a CS degree, proficiency in languages like Java or Python, cloud experience, with desirable experience in OpenSearch/Elasticsearch, developer productivity, experimentation, CI/CD, and 2+ years running search systems at scale.

- Atlassian supports flexible work locations (office, home, or hybrid) and hires globally wherever they have a legal entity. - Their Your Future Team Search Platform powers fast, accurate, low-latency search across surfaces with scalable runtime systems and robust serving infrastructure. - The Principal Machine Learning Systems Engineer role sits at the intersection of search, ML, and experimentation, requiring about 70% engineering and 30% ML, to deliver ML-powered solutions that impact millions of customers. - Responsibilities include tackling large, complex projects from design to launch, architecting data infrastructure for large-scale search and experimentation data, deploying ML solutions to production with ongoing evaluation and monitoring, and mentoring engineers while collaborating across teams. - The ideal candidate has 10+ years of hands-on leadership with end-to-end SDLC ownership, experience with ML workflows at scale, a CS degree, proficiency in languages like Java or Python, cloud experience, and desirable expertise in areas such as OpenSearch/Elasticsearch, Developer Experience, experimentation, and CI/CD.

- Atlassian hires in any country where it has a legal entity and supports remote or office work, with interviews and onboarding conducted virtually as part of its distributed-first approach. - With eligible working rights and sufficient timezone overlap with the team, this role can be filled from any location in Australia or New Zealand. - The future team is a unified R&D engineering organization focused on helping customers move to the cloud and delivering value through Jira, Confluence, Trello, and Bitbucket. - In this role you will regularly tackle large, complex problems from design to launch, deliver shared frontend platforms and tooling, and plan cross-team work using RFCs, ADRs, and rapid prototypes to de-risk ambiguities. - You will define frontend architecture standards (TypeScript, React, state management, data fetching, error handling, release strategies), lead code reviews and high-risk fixes, drive operational excellence, partner across teams on accessibility, performance, security, and privacy, transfer knowledge across JS/TS, mentor engineers, and influence hiring standards and technical leveling.

Zendesk is seeking a Staff Software Engineer for its AI Integrations team in Melbourne to build intelligent integrations that connect Zendesk to AI ecosystems like Microsoft Copilot, Google Gemini, Slack, and Atlassian Rovo, enabling customers to search knowledge, create and update tickets, extract context, and automate workflows inside partner environments. The role involves designing and deploying resilient, scalable, and secure LLM-powered integrations, owning architectural decisions across the stack, refining APIs with backend and frontend engineers, mentoring engineers, partnering with Product and Design to deliver usable, high-performance features, and championing engineering best practices such as automated testing, CI/CD, and observability. Requirements include 8+ years building distributed applications, Go expertise or equivalent, strong JavaScript/TypeScript and React skills, experience with API boundaries (REST, GraphQL, event-driven), proven work with LLM APIs, a high bar for software quality, mentoring ability, a pragmatic product mindset, and excellent communication. Bonus points go to experience integrating with Jira/Slack/Shopify/MS Teams, agentic workflows or LLM automation, and building developer tools to boost productivity. The tech stack features Go and TypeScript, React-based frontends, AWS, Spinnaker deployments to Kubernetes, and data stored in Aurora/MySQL, DynamoDB, and S3; the role offers hybrid work with a Melbourne hub office requirement, a strong engineering culture and learning budget, competitive compensation, and Zendesk’s commitment to fairness, with accessibility accommodations and AI screening where applicable.

Atlassian supports flexible work locations (office, home, or hybrid) and conducts interviews and onboarding virtually as part of a distributed-first approach, hiring in any country where they have a legal entity. The Advisory Services team is globally distributed and focuses on helping large strategic and enterprise customers succeed by providing trusted advisors to maximize value from Atlassian investments. The role is a non-managerial Solution Consultant with an ITSM focus, delivering expert Atlassian products, practices, and solutions to drive value realization for clients who purchase Advisory Services. Responsibilities include collaborating with peers to define strategic outcomes, partnering with customers to solve business challenges, identifying expansion opportunities, building deep industry expertise, creating technical guidance content, and advocating for customer needs across internal teams. Travel up to 30% domestically and internationally for internal and customer-facing events, with the aim of unleashing customer teams’ potential and expanding the reach of Atlassian technologies.

Zendesk is hiring a Senior Product Designer to shape its Contact Center—a AI-powered, omnichannel platform that helps businesses deliver seamless, personalized support at scale. The designer will own end-to-end design for agent workspaces and admin tools, craft human-AI collaboration experiences, and collaborate with product, engineering, and research to implement AI-driven routing, monitoring, and performance features. Requirements include 5+ years of product design for enterprise software, experience with real-time communication tools or dashboards, interest in AI and human-AI collaboration, strong systems thinking, and proficiency in Figma, with a bonus for familiarity with contact centers or telephony. The role is hybrid, requiring in-office attendance part of the week with the schedule determined by the hiring manager. Zendesk emphasizes equal opportunity and inclusion, may use AI to screen applications, and offers accommodations for applicants with disabilities.

The role is centered on recruiting new partnerships and collaborating with the Enterprise and Commercial sales teams to drive new bookings, expansion bookings, and customer acquisitions with partners, while accelerating opportunity velocity and conveying partner value to sales. It also involves creating and executing a regional go-to-market strategy, coordinating with regional field and channel marketing to fund partner-led campaigns with measurable ROI, and serving as the day-to-day liaison to drive incremental revenue through partner initiatives. The ideal candidate has 10+ years in partner channel development/sales, experience with regional resellers and tech companies, strong executive presence, a solid understanding of Zendesk’s value proposition and how partners monetize services, and a proven ability to present to partners and prospects (with a track record of carrying a quota). The role offers full flexibility, with work primarily remote or from the Melbourne office, supported by digital tools and the option to use Zendesk offices or flex spaces, plus occasional in-person gatherings. Zendesk emphasizes its mission as the intelligent heart of customer experience, supports a hybrid work model, notes AI may be used in screening, and commits to equal opportunity, diversity and inclusion, with accommodations available for applicants who need them.

Zendesk’s mission is to make customer experiences better, and its AI/ML Platform team is building GenAI infrastructure to power next-generation AI-driven features across the product. The Senior Machine Learning Engineer will develop secure, scalable, developer-friendly platforms and partner with staff engineers, product managers, and other ML teams to deliver production-grade AI capabilities at Zendesk. Responsibilities include building GenAI infrastructure (LLM proxies, benchmarking, orchestration), designing the Zendesk LLM Proxy for safe, observable, and cost-optimized access to multiple foundation models, enabling agentic workflows, and driving observability, security, reliability, and cost attribution. Requirements include 5+ years of ML systems experience at scale, knowledge of model registries, feature stores, and inference, familiarity with LLM ecosystems and GenAI infrastructure, proficiency in Python/Java/Scala/Go/Ruby, and experience with cloud platforms, Kubernetes, Docker, distributed systems, plus strong CI/CD and production deployment skills. Bonus points go to experience with agentic workflows or automation using LLMs and building developer tools; the tech stack includes Python, AWS, OpenAI/Anthropic/Google/Llama, Kubernetes, Docker, and Kafka, and Zendesk supports a hybrid work model while actively promoting diversity, inclusion, and accommodations with AI screening as part of the process.

Zendesk is a CX platform expanding into a fast-growing AI business, and this inbound sales role in the ASEAN market involves engaging with prospects and collaborating with internal teams such as sales, outbound sales, industry directors, and marketing to respond to inbound leads and qualify opportunities. Responsibilities include understanding client challenges, generating high-value pipeline by qualifying leads across SMB, Commercial, and Enterprise accounts, managing a large volume of inbound inquiries, and delivering a top-tier customer experience while developing a strong pipeline. Candidates typically have about 2 years of sales experience, a competitive, self-starter mindset, excellent communication and organizational skills, and a bachelor’s degree is preferred. Zendesk emphasizes a high-performance, diverse, and inclusive culture with a hybrid work model that combines onsite collaboration and remote work, with specific in-office schedules determined by the manager. The company is an equal opportunity employer that may use AI screening in the hiring process, and it provides accommodations for applicants with disabilities, along with information about diversity, inclusion, and EEO rights.

Atlassian offers flexible work options—office, home, or a mix—and hires globally wherever it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. Atlassian's mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that enable collaboration across diverse teams and have powered feats such as NASA's Mars Rover and Cochlear's hearing solutions. The Central AI Org leads AI innovation across Atlassian products, aiming to develop horizontal AI capabilities and infrastructure, and to establish a centralized search, Q&A, and conversational AI system that integrates with all products and explores beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML by building productive, reliable tools for developing, deploying, measuring, and operating AI experiences, while integrating with the Atlassian Data Platform and upholding security and data usage policies. The Principal Machine Learning System Engineer role involves developing core infrastructure for engineers and data scientists to build and manage ML models and pipelines, collaborating with product teams, leading projects from design to launch, and requiring extensive ML infra experience, end-to-end ML lifecycle know-how, large-scale distributed systems expertise, Python and ML framework proficiency, MLOps, cloud, big data, performance optimization, and GenAI/LLM/RAG experience.

Zendesk is seeking a Senior Commercial Account Executive in Melbourne to grow its Commercial SaaS base by acquiring new customers, expanding existing relationships, and aligning Zendesk solutions with customers’ goals. The role focuses on driving revenue growth, nurturing satisfaction and retention for long-term partnerships, cross-selling to optimize account revenue, and using data insights to improve new business conversion and existing client expansion, while leading complex sales cycles and meeting quarterly and annual targets. Responsibilities include establishing executive sponsorship, collaborating with internal teams to refine sales strategies, maintaining a robust pipeline and accurate forecast, and leveraging weekly/monthly KPIs to exceed goals. Qualifications include a BA/BS or equivalent, 5+ years of B2B SaaS or solution engineering experience with a track record of exceeding targets, expertise in complex multi-month sales cycles and renewals, strong presentation/negotiation and financial acumen, experience selling to VP/C-level executives, familiarity with Salesforce and Clari, and willingness to travel. Zendesk is an equal opportunity employer with a hybrid work model and a commitment to diversity and inclusion, while also noting that AI screening may be used in hiring and offering accommodations for applicants with disabilities.

Zendesk is seeking an Enterprise Account Executive in Sydney to grow its enterprise business in Australia’s Financial Services and Insurance sector with AI-driven CX and employee service solutions. The role focuses on acquiring new enterprise customers, expanding AI adoption, managing strategic relationships, and using data insights to prospect and expand within accounts. The candidate should have 8+ years of cloud/software B2B sales, a proven track record in complex enterprise cycles and executive-level engagement, strong quota attainment, and familiarity with tools like Salesforce, Outreach, Clari, Seismic, and Looker, with travel as needed. Responsibilities include leading multi-stakeholder sales cycles, designing AI-enabled solutions, building ROI-driven business cases, maintaining a robust pipeline and accurate forecasts, and collaborating cross-functionally to deliver value. Zendesk emphasizes hybrid work, inclusion, and equal opportunity, notes that AI may screen applications, and provides accommodations for applicants with disabilities.

Atlassian offers flexible work locations, supports family and personal goals, and hires globally with virtual interviews and onboarding as part of a distributed-first approach. They are hiring a Senior Site Reliability Engineer for the Jira SRE team, which owns Jira Cloud’s infrastructure, tooling, and automation to ensure reliability. The ideal candidate is a technical leader who stays current with reliability trends and has experience mentoring others and sharing knowledge. They should bring deep experience in modern cloud infrastructure, programming, and operational work, with a passion for changing the status quo. The role focuses on analyzing and improving services and processes to enhance reliability, performance, scalability, and cost efficiency, reporting to the Senior Engineering Manager.

Zendesk is a leading customer experience and support platform hiring for a software sales role in ANZ, based in Melbourne, with a hybrid onsite/remote arrangement (onsite 3 days a week). The role is a pure hunting sales position focused on identifying, qualifying, and developing opportunities across SMB/Commercial/Enterprise segments, working with internal stakeholders such as sales and product managers, industry sales directors, and marketing. Key responsibilities include engaging with prospects to understand challenges, generating high-value pipeline, collaborating to target prospects, and maintaining a robust pipeline with a top-tier customer experience. Candidates should have at least 2 years of sales-related experience, business development experience within ANZ, a competitive self-starter mindset, excellent communication and organizational skills, and a bachelor’s degree is preferable. Zendesk emphasizes diversity, equity, and inclusion, is an equal opportunity employer, may use AI for screening, and provides accommodations for disabilities, with a hybrid work model that combines in-person collaboration and remote flexibility.

Zendesk is hiring a Program Manager for the Product Development team (Zendesk Platform) to coordinate cross-functional work with Product Management and Engineering and to drive initiatives that span multiple products with a global reach across EMEA, APAC, and AMER. The role involves delivering engineering programs on time by partnering with Marketing, Localization, Alliances, Advocacy, Customer Success, Legal, Finance, and Sales, while helping to build roadmaps, align dependencies, and broker commitments from other teams. Responsibilities include identifying and mitigating risks, owning regular status reporting, facilitating meetings and team ceremonies, building positive relationships, and continuously improving processes. Basic qualifications include proven experience managing programs or technical projects with cross-functional delivery, ability to independently drive program activities, familiarity with Agile tools (Jira, Confluence, Trello, Productboard, Smartsheet), understanding organizational dynamics, experience implementing PM frameworks, strong problem-solving, adaptability, effective communication, and facilitation, plus managing issues and dependencies. Preferred qualifications encompass prior software-company experience with engineering programs and feature releases, familiarity with OKRs, ability to build buy-in and governance, and the capability to influence initiatives across multiple teams; the role also notes a hybrid work model, emphasizes diversity and inclusion, mentions AI screening, and offers accommodations for applicants with disabilities.

Zendesk is seeking a senior Demand/Campaigns Marketing Manager to create integrated campaigns aimed at driving new business and upsell opportunities across the Asia Pacific and Japan markets. The ideal candidate will possess strong cross-functional leadership skills, be adept at big-picture planning while executing detailed strategies, and have a proven ability to manage multi-channel marketing campaigns. Responsibilities include building omni-channel campaigns, developing relationships with various marketing teams, and analyzing campaign performance to drive improvements. Candidates should have 6-8 years of relevant marketing experience, strong analytical and communication skills, and a bias for action with a collaborative attitude. This position offers a flexible remote work environment, emphasizing Zendesk's commitment to a fulfilling and inclusive workplace.

At Atlassian, employees can choose their work environment, whether in an office or remotely, allowing greater flexibility in balancing personal and family needs. The company hires globally, including establishing legal entities in various countries. Senior Support Engineers are vital in providing advanced support for enterprise customers, particularly those transitioning from on-premise products to Atlassian Cloud. They troubleshoot technical issues, offer assistance through various channels, and handle escalations, leveraging their expertise and collaboration skills. Additionally, these engineers are expected to identify trends for improvement, advocate for customer needs, contribute to documentation, and occasionally work during weekends, all while supporting Japanese-speaking customers.

Atlassian offers its employees flexible work options, allowing them to choose between remote, in-office, or hybrid models to better manage personal priorities. The company hires in various countries where it has legal entities and values the contributions of Senior Support Engineers, who provide essential technical support to enterprise customers transitioning to Atlassian Cloud products. These engineers enhance customer experience by troubleshooting issues through multiple communication channels and ensuring timely resolutions. They also play a role in case reviews to identify operational trends and improve support strategies, while advocating for customer needs to influence product enhancements. The position requires a senior engineer with strong communication skills in both Japanese and English, and may involve occasional weekend shifts to assist customers in Japan effectively.

At Atlassian, employees have the flexibility to choose their work environment, whether in-office, remote, or a hybrid option, enabling them to balance personal priorities. The role of Senior Support Engineers is vital as they provide expert technical support to enterprise customers, particularly in transition phases from On-premise or Data Center to Atlassian Cloud products. These engineers enhance customer experience by diagnosing and resolving technical issues through various support channels, including Japanese support for customers in Japan. Key responsibilities also include handling escalations, performing case reviews, and contributing to continuous improvement projects by advocating for customer needs. The position requires a senior engineer with strong communication skills in both Japanese and English, and it involves collaboration with diverse teams to ensure successful migrations and operational excellence.

Atlassian offers flexible work arrangements, allowing employees to choose between office work, remote work, or a hybrid model to better manage personal responsibilities. They are actively hiring Senior Support Engineers globally, focusing on providing advanced support to enterprise clients transitioning from on-premise Atlassian products to the Atlassian Cloud. These engineers enhance customer experiences through effective troubleshooting, technical support via various channels, and handling escalations using their expertise. Responsibilities also include performing case reviews to identify trends for improvement, advocating customer needs for feature enhancements, and creating documentation for support teams. The role requires proficiency in both Japanese and English, along with occasional weekend shifts, as engineers engage with diverse teams and contribute to customer migration projects.

At Atlassian, employees have the flexibility to work from home, in the office, or a combination of both, enabling them to balance personal and professional commitments. The role of a Senior Support Engineer is vital in assisting enterprise customers with transitioning from On-premise/Data Center products to Atlassian Cloud and addressing technical issues. These engineers enhance customer experience by troubleshooting, diagnosing, and resolving issues through various support channels, including phone calls and screen shares. They also collaborate with other teams, advocate for customer needs, and contribute to continuous improvement while managing escalations. The position requires proficiency in both Japanese and English, emphasizing effective communication to support customers in Japan.

At Atlassian, employees have the flexibility to work from the office, home, or a mix of both, allowing them to balance personal and family priorities. The company is hiring Senior Support Engineers who are essential for providing advanced support and technical expertise to enterprise customers, particularly during their transition to Atlassian Cloud. These engineers focus on improving the customer experience by efficiently troubleshooting and resolving technical issues, while also offering support in Japanese for customers in Japan. They handle escalations, conduct case reviews to identify improvement trends, and advocate for customer needs in feature requests. The role requires strong verbal and written communication skills in both Japanese and English, along with collaboration across diverse teams to drive operational improvements and customer satisfaction.

As the Senior Product Manager for Bitbucket Pipelines, your primary goal is to establish it as the leading CI/CD solution integrated with Bitbucket's SCM for Atlassian customers. You will focus on developing AI-driven features that enhance developers' workflows and productivity in their CI/CD processes. This role requires collaboration across various teams, including Design, Engineering, Marketing, Support, Success, and Sales. Key responsibilities include defining the vision and strategy for both admin and user functionalities, engaging with enterprise customers for insights, and staying updated on industry trends to foster innovation. Additionally, you will lead an R&D squad, setting strategic goals that align with Bitbucket's mission and aim to deliver impactful results for users and the business.

Atlassian offers flexible work options, allowing employees to choose between working in the office, from home, or a hybrid approach, empowering them to manage personal and family priorities effectively. The company seeks to hire talent globally wherever they have a legal presence. The role involves collaborating with cross-functional teams on the roadmap for the migrations product transformation and engaging with customers to streamline their transition to Enterprise Cloud. Candidates should possess over five years of product experience in Enterprise Software, demonstrate strategic planning abilities, and have the technical knowledge to work with engineering teams. Additionally, strong storytelling skills and experience in B2B SaaS are advantageous for inspiring various audiences.

At Atlassian, employees have the flexibility to choose their work environment, whether in-office, remote, or hybrid, allowing them to manage personal and family priorities better. The design team focuses on creating seamless, user-friendly experiences across products, integrating AI to enhance interactions and simplify workflows for developers. The DevEx and DevAI teams aim to improve developer productivity by addressing common challenges, such as context switching and repetitive tasks, and envision a future where AI plays a significant role in collaboration. Key responsibilities for this role include crafting exceptional developer experiences, identifying AI integration opportunities, prototype solutions, and partnering with product and engineering teams to ensure high-quality outcomes. Designers are expected to advocate for developers, simplifying complex processes, iterating based on feedback, and balancing technical and user needs in their solutions.

Atlassian offers flexible work arrangements, allowing employees to choose to work from an office, home, or a hybrid of both, enhancing their ability to balance personal and professional commitments. The company operates on a distributed-first model, conducting interviews and onboarding virtually, and enables hiring in any country where it has a legal entity. The Data Science team plays a crucial role in utilizing data to gain insights about products and customers, collaborating with various departments to influence product strategies. Team members are expected to apply their analytical expertise to solve complex business problems, develop hypotheses, and measure the success of product investments through data analysis and reporting. Ideal candidates should have a degree in a STEM field, experience in data science, proficiency in data manipulation languages, and a strong ability to communicate insights effectively.

Zendesk is seeking a **Senior Corporate Account Executive** with a strong background in B2B sales and a focus on growth within the SaaS sector. The role involves expanding the customer base, managing relationships, and driving revenue through new client acquisition and account expansion. Responsibilities include utilizing data insights for prospecting, conveying product benefits, and leading competitive sales cycles, while consistently maintaining a strong sales pipeline. Ideal candidates should possess at least three years of experience in B2B sales, demonstrate excellent communication and negotiation skills, and have familiarity with tools like Salesforce. Zendesk promotes a hybrid work environment that balances remote and onsite collaboration and emphasizes diversity, equity, and inclusion in its hiring practices.

Zendesk is seeking a Sales Operations Lead for the APAC region to enhance operational excellence and support the ANZ Sales team in achieving its goals. The role involves collaborating with sales leadership on strategic initiatives such as forecasting, pipeline management, and performance analysis while driving improvements in sales processes. Candidates should have over three years of experience in a similar SaaS environment, expertise in sales tools like Salesforce, and strong analytical skills. The position promotes a hybrid work model, allowing for both in-office and remote work while encouraging a culture of collaboration and growth. Zendesk is committed to diversity and inclusion, providing equitable employment opportunities regardless of various personal characteristics.

Atlassian offers flexible work options, allowing employees to work from home, in an office, or a combination of both, which helps them balance personal and professional priorities. The company can hire globally where they have a legal entity, with remote roles available for candidates in Australia and New Zealand. The Platform Engineering Organisation is seeking Senior Principal Engineers to lead significant transformations that support customer needs, focusing on complex architectural challenges. Successful candidates will collaborate with various leaders to align technical strategies with company goals while promoting innovation and improving the engineering culture across the APAC region. Responsibilities include shaping technical direction, influencing broader strategies, mentoring engineers, and ensuring operational excellence within the organization.

Atlassian offers flexible work options, allowing employees to choose between working in an office, from home, or a hybrid approach, which helps them balance personal and professional priorities. The company conducts interviews and onboarding virtually, enabling them to hire talent from any country with a legal entity, particularly focusing on candidates in Australia and New Zealand. The Platform Engineering Organisation at Atlassian is currently seeking Senior Principal Engineers to lead significant transformations that will enhance the potential of teams and align with company objectives. In this role, engineers will address complex architectural challenges while fostering innovation and advancing engineering culture across the region. Responsibilities include shaping technical strategies, collaborating with various leaders, guiding large-scale projects, mentoring peers, and promoting operational excellence within the organization.