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The Senior Strategist will drive growth and adoption of solutions in the Enterprise segment by developing GTM strategies, analyzing complex information, and championing novel approaches. This role requires a strong understanding of SaaS business models and stakeholder management.
The Manager of Technology Sourcing and Category Management at Atlassian is responsible for leading strategic sourcing initiatives, analyzing costs, and collaborating with key stakeholders to optimize the company's value. This role involves setting sourcing strategies, cost optimization programs, and identifying industry trends to achieve the best value for the company.
Lead Principal Engineer role in Team Enterprise at Atlassian. Responsible for solving complex problems, providing technical direction, and mentoring engineers. Strong technical leadership and expertise in cloud-based enterprise-grade solutions required.
The Principal Data Analyst will be responsible for deriving meaningful insights from data and supporting the Enterprise and Sales teams. They should have experience in sales data analysis, strategy, or business analysis, with proficiency in SQL, Excel, Tableau, and Salesforce. The successful candidate will be highly organized, analytical, and detail-oriented. A degree in Business, Statistics, Finance, or a related analytical field is preferred.
Seeking a seasoned Talent Development leader to manage the Craft Development team, responsible for strategy, execution, and measurable outcomes of Craft solutions. Directly influences culture of continuous learning, growth, and innovation. Requires strategic thinking, hands-on approach, and ability to deliver impact through others and individually.
Join Atlassian as a Junior Software Engineer to work on building Opsgenie's main product features in a highly collaborative environment. Responsibilities include developing backend applications, implementing microservices, ensuring scalability, and participating in Agile software development.
Passionate Enterprise Loyalty Advocate needed to maximize revenue retention, strategic migration, and expansion efforts for Enterprise accounts. Responsibilities include managing Enterprise customers, leading sales motions, and partnering on account planning.
Lead the Trust team at Atlassian by analyzing business objectives, defining strategies, translating technical requirements, driving execution, and managing complex cross-divisional projects. Influence technical decisions and shape product strategy in collaboration with stakeholders. Experience in Security technologies and building commercial Cloud Services is required.
As a Senior Group Product Manager at Jira Cloud - Growth, you will lead a team of Product Managers, partner with Engineering and Design, and drive the Jira mission. You will be responsible for new customer funnel, existing customer expansion, setting direction, executing roadmap, and growing the PM team. This role impacts thousands of customers and millions of users.
Senior Engineering Manager at Atlassian responsible for guiding technical decisions, prioritizing team work, and providing mentorship opportunities. Fully remote role in a US time zone. Manage a team of 10-18 engineers on a Full Stack Software Engineering Team.
As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning. Responsibilities include solving complex problems, leading projects, and collaborating with teams. The role requires 5+ years of software development experience, fluency in Java, Kotlin, Python, and expertise in AWS, Apache Spark, and Machine Learning projects lifecycle.
At Atlassian, the Senior Machine Learning Engineer position offers a competitive base pay range of $165,500 - $265,800 in the United States across three geographic pay zones. The role may also include benefits, bonuses, commissions, and equity.
Senior Software Engineer in the Central AI team responsible for building and maintaining core infrastructure for machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines. Must have 5+ years of experience in software development, fluency in Java, Kotlin, Python, experience with AWS, Apache Spark, and knowledge of Machine Learning project lifecycle.
Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms for Atlassian products and services. Responsibilities include designing system and model architectures, conducting experiments, and providing guidance to ML engineers.
At Atlassian, we are seeking a Machine Learning Engineer to work on developing and implementing cutting-edge machine learning algorithms for our products. The role involves collaborating with various teams to integrate AI functionalities into Atlassian products and services, improving product performance through AI/ML applications.
As a Senior Software Engineer, Outreach at Loom, you will work on building and enhancing the user experience across the first touchpoints of the product. You will be responsible for developing features, leading complex projects, and mentoring junior engineers.
Join Atlassian's Talent Acquisition team as a Recruiter to manage the full recruitment life cycle, collaborate globally, educate and influence hiring managers, and contribute to the team's success through innovative recruitment strategies. The role involves working with a diverse group in a scaling, fun environment to find the best additions for the team.
Manage the execution of content marketing assets for customer acquisition, activation, and expansion across various channels. Partner with internal teams and agencies to create and repurpose assets. Create videos and written content for social media and campaigns.
Design, implement, and operate services to strengthen the enterprise readiness of our cloud. Work with cross-functional teams and contribute to regulated industries initiatives.
Lead Principal Software Engineer position in the Growth team at Atlassian. Responsible for understanding user journey and funnel, partnering with product and engineering teams, deriving insights from data, improving team efficiency, mentoring, and ensuring software engineering excellence.
