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Atlassian allows employees to choose where they work—office, remote, or a mix—and hires in any country where it has a legal entity. The Central AI Org drives AI innovation across Atlassian products, building horizontal AI capabilities, a centralized search/Q&A/conversational AI system, and exploring integrations with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by delivering tools to develop, deploy, measure, and operate AI experiences and by integrating with the Atlassian Data Platform while upholding security and data policies. The ML System Engineer role focuses on developing core infrastructure to enable engineers and data scientists to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with Jira and Confluence to solve ML challenges such as datasets and LLM fine-tuning. Requirements include 2+ years of ML/AI infra experience, end-to-end ML lifecycle expertise, MLOps and CI/CD, cloud, big data processing, Python and ML frameworks, familiarity with additional languages, and GenAI/RAG experience.

Atlassian offers flexible work options, allowing employees to work from offices, their homes, or a mix of both, fostering autonomy and work-life balance. The company is a distributed-first organization that conducts interviews and onboarding virtually, hiring talent globally wherever they have legal entities. Atlassian provides agile and DevOps software solutions, with many Fortune 500 companies relying on their products like Jira Software and Confluence to enhance team collaboration and efficiency. The Mid-Market sales team focuses on nurturing relationships with mid-sized customers, driving revenue growth, and ensuring high customer satisfaction by delivering tailored solutions and feedback to internal teams. Their responsibilities include developing account plans, conducting product demonstrations, collaborating with various internal stakeholders, and staying informed about market trends and competition.

Zendesk is seeking an experienced, empathetic consultant to join their CX Acceleration Team, which focuses on helping Enterprise clients enhance their use of Zendesk products. The role involves leading short-term projects that aim to drive measurable improvements in clients' customer experience (CX) through deep technical assessments and hands-on configuration changes. The ideal candidate should possess over five years of experience in client-facing roles, expert-level knowledge of the Zendesk ecosystem, and a strong ability to mobilize teams towards achieving clear outcomes. Preferred qualifications include understanding IT service management and experience in collaborative environments. Additionally, the company promotes a hybrid work model, ensuring flexibility while fostering teamwork and connection.

At Atlassian, employees have the flexibility to work from various locations, allowing them to balance personal and family commitments effectively. The Central AI Org focuses on fostering AI innovation across all Atlassian products, aiming to create a unified AI infrastructure and integrate advanced AI solutions. The AI & ML Platform Team is dedicated to democratizing machine learning for Atlassian's ecosystem by providing tools that streamline the development and deployment of AI capabilities while ensuring adherence to security and data policies. The Senior ML System Engineer role involves refining the core infrastructure for ML models and collaborating with product teams like Jira and Confluence to address specific challenges and deliver solutions. Ideal candidates will have extensive experience in machine learning lifecycle management, large-scale system design, MLOps, and proficiency with relevant programming languages and cloud platforms.

Atlassian offers flexible work options, allowing employees to choose their work environment, whether in-office, remote, or hybrid, thereby supporting individual priorities. The company is focused on unleashing team potential through significant investments in Generative AI, leading to the establishment of a new GenAI Modeling & Innovation Forge in Singapore. They are seeking a Senior Machine Learning Systems Engineer to develop and scale systems for advanced GenAI modeling, emphasizing the integration of innovative algorithms with high-performance infrastructure. This role involves designing scalable ML systems, enabling rapid prototyping, and collaborating with various teams to ensure effective deployment and evaluation of models. The goal is to establish the Forge as a leader in GenAI systems innovation by optimizing workloads and enhancing collaboration across disciplines.

At Atlassian, employees have the flexibility to work from either an office or home, supporting their personal and family needs. The company operates as a distributed-first organization, conducting interviews and onboarding virtually for global hiring. They are focused on unleashing team potential through significant investments in generative AI, and are seeking a Senior Machine Learning Engineer to join their GenAI Modeling & Innovation Forge in Singapore. The role involves developing advanced generative AI models, quickly prototyping new systems, and collaborating with various teams to innovate and implement solutions. Engineers will work hands-on with modern frameworks, running experiments to validate impact and transitioning successful prototypes into production-ready applications.

Atlassian offers flexible work arrangements, allowing employees to work remotely or in the office, promoting balance between personal and professional commitments. The company's mission is to empower teams through its collaborative products like Jira, Confluence, and Bitbucket, enabling effective teamwork across various industries. The Central AI Organization focuses on integrating AI innovation into Atlassian products, aiming to create a centralized system for AI capabilities. The AI & ML Platform Team strives to democratize AI and machine learning across the Atlassian ecosystem by developing reliable tools that integrate seamlessly with existing platforms. A Principal Machine Learning System Engineer will be responsible for building and refining the AI infrastructure, collaborating with product teams to solve technical challenges and deploying machine learning solutions that enhance product offerings.

At Atlassian, employees have the flexibility to choose their work environment, whether in-office, remote, or a hybrid model, which supports their personal and family goals. The company is focused on unleashing team potential and is significantly investing in Generative AI to enhance team productivity and innovation. Currently, they are seeking a Principal Machine Learning Engineer in Singapore to lead efforts in advanced GenAI modeling and applied research. The role involves driving rapid prototyping, developing novel approaches to knowledge-grounded models, and providing technical leadership to a team. The new hire will also contribute to the innovation strategy and ensure responsible AI practices are followed across the organization.

Atlassian offers flexible work options, allowing employees to work from home, in the office, or both, thereby supporting their personal priorities. The company is actively pursuing its mission to enhance team potential through significant investments in Generative AI. A key position available is for a Senior Machine Learning Systems Engineer, who will join the GenAI Modeling & Innovation Forge in Singapore. This role involves designing and implementing scalable machine learning systems and collaborating across various teams to facilitate rapid prototyping and applied research. The focus will also be on optimizing performance and establishing best practices in model deployment within the GenAI innovation hub.

Atlassian offers flexible work arrangements, allowing employees to work from home, in an office, or a combination of both, enhancing their ability to balance personal and family commitments. The company conducts interviews and onboarding virtually and is actively looking for a Senior Machine Learning Engineer to join its new GenAI Modeling & Innovation Forge in Singapore. The selected candidate will focus on advanced GenAI modeling and rapid prototyping, aimed at developing AI-driven innovations. Responsibilities include building advanced GenAI models, experimenting with proof-of-concept systems, and collaborating with various teams to enhance user experiences. The role also involves transitioning successful prototypes into scalable solutions while contributing to a culture of innovation within the organization.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or hybrid environments, promoting balance in personal and professional life. The Principal Value Advisor in the Value Management Office (VMO) plays a crucial role in delivering strategic value to customers, requiring strong relationship-building and understanding of business objectives. The role emphasizes financial acumen and critical thinking to develop comprehensive business cases and identify value opportunities for clients. Innovation and collaboration are key components, as the advisor is responsible for crafting new solutions and aligning cross-functional teams to achieve customer success. Candidates should have extensive experience in value consulting and possess exceptional communication skills, with a preference for familiarity with Atlassian's solutions and certain regional languages.

At Atlassian, employees enjoy the flexibility to choose their work environment, whether in an office or remotely, promoting a balanced personal and professional life. The company's mission focuses on enhancing teamwork through its key products like Jira, Confluence, and Bitbucket, allowing teams to achieve their highest potential across various industries. The Central AI Org is dedicated to advancing AI capabilities and infrastructure, ensuring seamless integration with all Atlassian products, while the AI & ML Platform team aims to democratize AI for teams and users alike. The role of Principal Machine Learning System Engineer involves developing core infrastructure for ML solutions, collaborating with product teams, and solving complex technical challenges. Candidates should have extensive experience in ML systems, large-scale design, and proficiency in relevant programming languages and frameworks, with a strong focus on MLOps and cloud infrastructure.

Atlassian offers flexible work arrangements, allowing employees to choose between office work, remote work, or a combination of both to support their personal and family priorities. The company has a mission to "unleash the potential of every team," developing collaborative products like Jira, Confluence, and Bitbucket that empower teams across various industries. The Central AI Org is focused on driving AI innovation within Atlassian products, aiming to create a centralized AI infrastructure and capabilities. The AI & ML Platform Team is tasked with democratizing AI and ML tools, facilitating integration with Atlassian's platforms while ensuring security and usability. The Principal Machine Learning System Engineer role involves collaborating on the core infrastructure for ML solutions, mentoring team members, and overseeing the development and deployment of AI models, requiring extensive experience in ML systems, MLOps, and distributed systems design.

Atlassian offers flexible work arrangements that allow employees to choose their work environment, supporting personal and family commitments. As a distributed-first company, they conduct virtual interviews and onboarding, enabling hiring across countries with legal entities. The company is focused on unleashing team potential by investing in Generative AI, seeking a Principal Machine Learning Engineer to join their GenAI Modeling & Innovation Forge in Singapore. This role involves pushing boundaries in advanced GenAI modeling, rapid prototyping, and applied research, with responsibilities including developing novel approaches for knowledge-grounded models and leading technical explorations. The engineer will also mentor team members, influence design across systems, and contribute to the innovation strategy while promoting responsible AI practices.

Zendesk is looking for a Senior Corporate Account Executive to drive growth in the Greater China Region's B2B SaaS market. The role involves acquiring new customers, developing account strategies, fostering customer relationships, and enhancing revenue through upselling and cross-selling. Candidates should have at least three years of relevant sales experience, strong communication skills, and be bilingual in English and Mandarin. The position supports a hybrid work model, requiring some in-office presence while allowing flexibility for remote work. Zendesk emphasizes diversity, inclusion, and fair hiring practices, using AI for application assessments in compliance with laws.

Sentry is dedicated to helping developers create high-quality software quickly, collaborating with major companies like Disney and Microsoft to improve software performance and error monitoring. They are seeking their first APAC Sales Engineer, who will play a key role in guiding customers through the use of Sentry's products. The position involves providing technical expertise during demonstrations and implementations, developing educational resources, and working closely with various teams to enhance product offerings. Ideal candidates will have experience in pre-sales engineering or software development, strong communication skills, and a passion for technology. Sentry emphasizes a commitment to inclusivity and equal employment opportunities, encouraging diverse applicants to contribute to their open-source philosophy.

Zendesk is seeking motivated individuals for a career in software sales, particularly in an inbound sales role focused on the ASEAN market. The position involves engaging with prospects, qualifying leads, and managing a significant volume of inbound inquiries in order to develop a robust sales pipeline. While previous sales experience is beneficial, the company emphasizes a competitive mindset and strong communication skills as key attributes for success. Zendesk offers a hybrid work environment that combines in-office collaboration with remote flexibility, fostering a culture of connection and inclusivity. The company is an equal opportunity employer and actively promotes diversity and inclusion in the workplace.