The Ampin App
deep insights into the Atlassian community

Atlassian allows employees to choose where they work—office, home, or a mix—to support family, personal goals, and other priorities. They hire 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 for Jira Cloud and understands how it uses infrastructure to meet customer reliability expectations. The ideal candidate is a technical leader with awareness of current industry trends in reliability, experience mentoring others, and a strong background in modern cloud infrastructure, programming, and operations, with a desire to challenge the status quo. The role involves analyzing and improving services and processes to achieve higher reliability, performance, scalability, and cost efficiency, and reports directly to the Senior Engineering Manager.

Atlassian offers flexible work options—office, home, or a hybrid setup—to help employees balance family, personal goals, and other priorities. They hire in any country where they have a legal entity. They’re seeking a Senior Site Reliability Engineer to join the Jira SRE team, which owns the infrastructure, tooling, and automation that Jira Cloud runs on. The ideal candidate is a technical leader with mentoring skills, awareness of current reliability trends, and deep experience in modern cloud infrastructure, programming, and operations who wants to change the status quo. The role involves analyzing and improving services and processes to achieve higher reliability, performance, scalability, and cost efficiency, and you will report to the Senior Engineering Manager.

- Atlassians can choose where they work—office, home, or a hybrid arrangement— and the company hires in any country with a legal entity. - The Senior Product Manager will own end-to-end design and delivery of out-of-the-box vertical solutions for Atlassian’s Service Collections ESM products, including pre-configured packages with workflows, dashboards, automation, and data models for ITSM, ITAM, and HRSM. - Responsibilities include defining and prioritising OOTB solutions based on customer data and insights, and collaborating with engineering, design, marketing, and go-to-market teams to deliver on time with clear stakeholder alignment. - The role leverages standardized data structures and templated components and integrates Atlassian platform capabilities—such as automation, analytics, and AI agents—to drive enterprise customer efficiency. - It also involves gathering and acting on customer feedback, communicating vision and progress, championing best practices and a culture of learning, and transforming OOTB offerings into best-practice, opinionated solutions that enable rapid value realization and scale.

At Atlassian, you can work in an office, from home, or in a hybrid setup, giving you flexibility to support family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. As a Senior Product Manager, you will own end-to-end design and delivery of out-of-the-box vertical solutions for Atlassian’s Service Collections ESM products, including pre-configured packages for ITSM, ITAM, and HRSM. You will define and prioritise OOTB solutions using data and customer insights, collaborate with engineering, design, marketing, and go-to-market teams, and ensure on-time delivery with aligned stakeholders. You will leverage standardized data structures and templated components, integrate Atlassian platform capabilities such as automation, analytics, and AI agents, gather feedback to iterate, and ultimately transform Service Collection OOTB offerings into best-practice, opinionated solutions that enable rapid value realization and scalable service management, while fostering a culture of learning and transparency.

As a Senior Product Designer, you will shape the design strategy and execution for Atlassian’s Marketplace within the ecosystem that lets customers extend and customize Atlassian products using Forge-built apps listed on the Marketplace. The role involves designing experiences that help customers discover, evaluate, and adopt apps while equipping partners with tools and insights to grow their businesses. Responsibilities include collaborating with product managers, engineers, and other designers to create user-centric designs, developing prototypes to influence roadmaps, leading end-to-end design projects, using data-driven insights to iterate, maintaining scalable patterns, and gathering feedback from customers and partners. Qualifications include 5+ years of professional product design experience, a strong portfolio in user-centered, interaction, and visual design, proficiency in Figma (tokens, variables, prototypes, animation), experience working in agile environments with cross-functional teams, excellent communication, and the ability to conduct user research; AI fluency is nice to have. Atlassian offers flexible work arrangements (office, home, or hybrid) and can hire in any country where we have a legal entity.

As a Senior Product Designer, you will shape the design strategy and execution for Atlassian’s Marketplace within the Atlassian Ecosystem and Forge, helping customers discover, evaluate, and install apps. You will influence the Marketplace’s evolution by promoting design excellence, own the end-to-end experience of a critical product area, collaborate with engineers, product managers, and designers, and champion a world-class user experience aligned with Atlassian’s mission. Atlassian offers flexible working options—office, home, or a mix—and hires in any country where the company has a legal entity. Responsibilities include collaborating with product managers and engineers to create user-centric designs, developing prototypes to shape roadmaps, leading projects from concept to execution, using data-driven insights, maintaining scalable patterns, and gathering feedback from customers and partners. Qualifications include 5+ years of professional product design experience, a strong portfolio across user-centered, interaction, and visual design, proficiency in Figma (tokens, variables, prototypes, animation), experience in agile teams, excellent communication, and the ability to conduct user research, with AI fluency as a nice-to-have.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where the company has a legal entity to support personal goals and priorities. The role focuses on end-to-end experiences across all design phases, from problem definition and research through UI implementation, rather than on individual features. You’ll work on experiences at scale for more than 1 million users, with substantial ownership across the entire design process and collaboration with engineers, product managers, marketing experts, and analysts. You’ll be a true champion for users and, in line with Atlassian's mission to be an experience-led company and its core customer-centric values, help inspire a diverse design team to do their best work. Required background includes 8+ years of UX/product design with a strong portfolio (including AI-driven or complex data experiences), excellent cross-functional communication, self-motivation and autonomy, a system mindset, and domain knowledge in service management or customer support; Jira Service Management (JSM) is Atlassian's fastest-growing product built on Jira, providing incident management, self-service, SLAs, and an AI-first IT service desk.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The role emphasizes designing end-to-end experiences across all design phases, with impact on over 1 million users and collaboration across engineering, product, marketing, and analytics. You’ll own the design process and work with partners to define the end-to-end experience for a critical area, alongside your content design counterpart. Ideal candidates have 8+ years of UX/product design experience, strong cross-functional communication, a customer-centric mindset, autonomy, and the ability to balance user needs with business and technical feasibility; domain knowledge in service management or customer support and AI product experience are a plus. Jira Service Management (JSM) is Atlassian’s fastest-growing product built on Jira, providing a single platform to track service requests with incident management, self-service, SLAs, and an AI-first IT service desk.

Atlassian offers flexible work locations—office, from home, or a mix—so employees can better support family, personal goals, and other priorities. The company hires people in any country where it has a legal entity. The TPM role focuses on staying current with AI and Search innovations, partnering with engineering to translate them into practical platform evolution, and defining a long-term strategy and roadmap based on business objectives and customer needs. Responsibilities include translating business objectives into technical problems, defining programs (such as capacity planning, migrations, high availability, and performance/reliability improvements), and managing the full lifecycle and cross-functional dependencies of these programs with engineers and architects. Requirements include 8+ years in software teams in roles like Development Manager or TPM, deep AI/Search domain experience, ability to translate objectives into technical programs, strong leadership and communication skills, and a preferred BS in Software Engineering or Computer Science; TPMs do not need to write code but should understand system flows, architectures, and APIs.

At Atlassian, you can work from an office, from home, or a combination, and the company hires in any country where it has a legal entity. The TPM role involves staying current on AI and Search innovations and partnering with engineering to translate them into practical platform evolution that delivers value to customers. You’ll analyze business objectives, customer needs, adoption inhibitors and opportunities, and industry trends to define a long-term strategy and roadmap, translating goals into prioritizable technical problems and specific programs (e.g., capacity planning, migrations, high availability, network, performance, reliability). You’ll take a systematic approach to engineering problems, own the full lifecycle of these programs (initiation, forecasting, budgeting, scheduling), and manage complex dependencies across the company while partnering with engineers and architects to drive progress. Minimum qualifications include 8+ years of experience in software roles leading technical platform efforts, deep AI/Search domain expertise, the ability to translate business objectives into technical programs, strong leadership and communication skills, and a preference for a B.S. in Software Engineering, Computer Science, or a related technical discipline.

Atlassian offers flexible work locations—office, home, or a mix—and hires globally in any country where they have a legal entity, supporting work-life balance and broad talent access. An ideal candidate cares deeply about builder productivity and creating simple yet powerful solutions for developers and non-developers through low-code or no-code toolsets. The role shapes the forward-looking technical direction and long-term architecture for Ecosystem and Marketplace, collaborates with product, engineering, and design leaders to align with broader departmental and Atlassian product/platform strategies, and partners with principal engineers to drive large-scale, multi-team enterprise projects. It emphasizes pragmatic advice to invest in long-term architecture while maintaining high-quality current systems and improving software construction and code reviews in an agile environment. You will be a role model and influencer across multiple seniority levels, mentoring engineers, and helping define and revise standards for operational excellence and for hiring and developing engineering talent.

Atlassian offers flexible work locations—office, home, or a hybrid—and hires globally where there is a legal entity. The ideal candidate cares deeply about builder productivity, delivering simple yet powerful solutions, with experience serving developers and non-developers through low-code or no-code tools, and is fearless in experimentation and learning from failures. In this role you will shape the forward-looking technical direction and long-term architecture for Ecosystem and Marketplace, align it with Atlassian’s broader product strategy, and collaborate with product, engineering, and design leaders. You will partner with principal engineers to explore large-scale, multi-team enterprise initiatives, provide pragmatic advice to balance long-term architecture with current system needs, and improve software construction quality and code reviews. You will be a role model and mentor across multiple seniority levels, influence operational excellence standards, and be involved in hiring and developing other engineers.

At Atlassian, you can work in an office, from home, or in a hybrid arrangement, and the company hires in any country where it has a legal entity. As a Senior ML System Engineer on the AI & ML Platform team, you will develop and refine the core infrastructure that enables engineers, ML engineers, and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence to address ML challenges such as dataset curation and fine-tuning open-source or proprietary LLMs. The role involves leading projects from technical design through launch, partnering with multiple teams and stakeholders to deliver AI features used by millions of customers, while performing code reviews, documentation, and bug fixes within a strong engineering culture, and mentoring junior team members. Requirements include 5+ years of experience building ML/AI infrastructure and end-to-end ML lifecycles, plus expertise in large-scale distributed system design and MLOps for continuous training, deployment, and monitoring. Desired skills encompass expert Python and ML frameworks (PyTorch, TensorFlow, JAX), familiarity with Go/Java/Scala, cloud platforms (AWS/GCP/Azure), big data processing (Spark, Ray, Dask), performance optimization, and experience with Generative AI, LLMs, and retrieval-augmented generation (RAG).

Atlassian offers flexible, location-agnostic work options and hires 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 engineers, ML engineers, and data scientists develop, train, 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 LLMs or leveraging proprietary LLMs, solving complex infrastructure and architecture challenges, leading projects from design to launch, and partnering with multiple teams while mentoring junior members. On day one, you should have 5+ years of experience building ML/AI infrastructure with comprehensive ML lifecycle expertise, end-to-end systems deployment, large-scale distributed design, and strong MLOps capabilities. Preferred skills include Python and ML frameworks (PyTorch, TensorFlow, JAX), familiarity with Go/Java/Scala, cloud platforms (AWS/GCP/Azure), big data tools (Spark, Ray, Dask), and experience with Generative AI, LLMs, and retrieval-augmented generation.

Atlassian offers flexible work options—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 team, you’ll build and refine the core infrastructure that enables engineers and data scientists to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence to solve ML challenges, including curating datasets and fine-tuning open-source or proprietary LLMs. The role involves leading projects from technical design to launch, delivering cutting-edge AI features used by millions, and performing code reviews, documentation, and bug fixes while partnering across engineering teams and mentoring junior members. Requirements include 5+ years of experience in building ML/AI infrastructure and comprehensive ML lifecycle expertise, plus large-scale distributed systems design and MLOps/automation. Preferred skills include Python and ML frameworks (PyTorch, TensorFlow, JAX), familiarity with Go/Java/Scala, cloud platforms (AWS/GCP/Azure) with AI services, big data tools (Spark/Ray/Dask), performance optimization, and experience with Generative AI systems and retrieval-augmented generation.

Atlassian is launching a Self-Hosted Kafka Infrastructure team to migrate away from costly cloud-managed solutions, aiming to own, manage, and scale hundreds of Kafka clusters across a global multi-cloud Kubernetes environment to reduce costs, improve control, and boost performance. The role is a founding Senior Engineering Manager who will lead the strategic build-out and migration to a self-hosted Kafka platform, requiring deep distributed systems expertise and compassionate leadership, and will define the architecture and lead the team to deliver a Control Plane that automates the lifecycle of hundreds of global Kafka clusters. Key technical responsibilities include Control Plane development to automate provisioning, scaling, upgrading, and self-healing; migration execution from cloud-managed solutions; guidance on Kafka internals such as KRaft migration, partition rebalancing, and tiered storage; and managing stateful streaming workloads on Kubernetes across multi-cloud regions. People management and culture responsibilities involve empathetic leadership to mentor senior engineers, establish operational excellence, and maintain healthy on-call rotations. Cross-organization collaboration includes partnering with Product Engineering, Data Platform, and AI/ML teams to optimize streaming architecture, reduce latency and cost, and advocating for clients by tuning producers and consumers during migration.

Atlassian is launching a Self-Hosted Kafka Infrastructure team to migrate from costly cloud-managed solutions, owning and scaling hundreds of Kafka clusters across a global multi-cloud Kubernetes environment to reduce cost, improve control, and boost performance. They seek a founding Senior Engineering Manager to lead the strategic build-out and migration to a self-hosted Kafka platform, a technical role requiring deep distributed systems expertise and compassionate leadership, who will define the architecture and deliver a Control Plane automating the lifecycle of hundreds of global Kafka clusters. Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity. Key responsibilities include Technical Strategy & Control Plane Engineering: design and implement the Kafka Control Plane for provisioning, scaling, upgrading, and self-healing; Migration execution; Kafka internals (KRaft migration, partition rebalancing, tiered storage); and Cloud Infrastructure management of stateful streaming workloads on Kubernetes across multi-cloud regions. Additional duties cover People Management & Culture—empathetic leadership, reducing operational toil, and healthy on-call rotations—and Cross-Organization Collaboration, partnering with Product Engineering, Data Platform, and AI/ML teams to optimize streaming architecture and support client services migration by tuning producers and consumers.

At Atlassian, employees can choose to work in an office, from home, or a hybrid arrangement, giving them more control to support family, personal goals, and other priorities, and the company hires in any country where it has a legal entity. The India team is growing rapidly, expanding from 0 to over 20 engineers in less than a year, and they are seeking a technical leader to drive this expansion. The Senior Engineering Manager will lead recruiting and build a high-performing team to contribute to high-scale PostgreSQL and OpenSearch platforms on Kubernetes, supporting hundreds of millions of databases with high availability and performance. Responsibilities include delivering high-quality software, growing individuals and grooming leaders, contributing to architecture, and working with leadership and partners to strategize roadmaps and provide high-quality solutions with clear OKRs and expectations. The role also involves identifying blockers, managing projects, processes, partners, and timelines, and hiring a diverse team of engineers from entry level to principal while leading a growing team of Tech Leads and Software Engineers.

At Atlassian, employees can choose to work in an office, from home, or in a hybrid arrangement, giving them more control over personal priorities and family needs, and the company hires in any country with a legal entity. The India team is rapidly expanding, growing from 0 to over 20 engineers in less than a year, and they’re seeking a technical leader to drive this growth. The Senior Engineering Manager will lead recruitment and build a high-performing team contributing to large-scale PostgreSQL and OpenSearch platforms on Kubernetes, supporting hundreds of millions of databases globally with high availability and performance. Responsibilities include delivering high-quality software, developing team members and leaders, contributing to architecture, and partnering to strategize a roadmap and deliver high-quality solutions while identifying blockers, goals, success metrics, and ensuring OKR/roadmap awareness. The role also involves managing projects, processes, partners, and timelines, and hiring a diverse team of engineers from entry level to principal.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, empowering employees to support family and personal goals. The role leads a team managing run-the-business operations and company-wide initiatives across multiple projects, leveraging Oracle Fusion Cloud Core Financials (OM, AR, AP, FA, GL) and ensuring projects meet OKRs. It emphasizes an AI and automation mindset, applying RPA and low-code/no-code tools to improve Finance efficiency and exposing the team to AI/ML in Finance. It operates in a best-of-breed SaaS Finance ecosystem, integrating Fusion Cloud with packages like Zuora, Coupa, Anaplan, Avalara, and Fieldglass, with a metrics-driven approach and collaboration with Internal Audit for SOX compliance. The role involves collaborating with engineers, data scientists, and Technical Product Managers to impact Finance systems’ reliability and performance across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit, solving complex problems by understanding end-to-end processes (Quote to Cash, Procure to Pay, Record to Report) and balancing short-term wins with long-term architecture.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. In this role you’ll lead a team handling run-the-business operations and partner across engineering on company-wide initiatives spanning multiple projects. You’ll maximize Oracle Fusion Cloud Core Financials, work across modules (OM, AR, AP, FA, GL), and ensure projects meet OKRs, with an automation mindset including RPA and low-code/no-code tools and exposure to AI/ML in Finance. You’ll operate in a best-of-breed SaaS ecosystem, integrating Fusion Cloud with tools like Zuora, Coupa, Anaplan, Avalara, Fieldglass, and more, with a focus on metrics and SOX compliance in collaboration with internal teams. Your work will impact the reliability and performance of Finance systems across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit, solving complex end-to-end problems (Q2C, P2P, R2R) while delivering short-term wins without compromising long-term architecture.

As a Senior Data Scientist in Atlassian’s App Ecosystem, you will drive insights that shape app development and customer innovation, leveraging AI technologies to empower customers and partners to build next‑generation apps on Forge. Your work will inform key metrics, identify growth opportunities, and address challenges in developer and customer adoption, ensuring the ecosystem thrives amid rapid advances in AI-powered solutions, with actionable recommendations that accelerate business success and keep Atlassian at the forefront of enterprise‑grade, AI-enabled extensibility. Atlassians can choose where they work—office, home, or a blend—and interviews and onboarding are virtual as part of being distributed‑first; this remote role is for candidates based in India and requires IST hours. You will collaborate with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others to use data to identify product development challenges, influence strategy and investment decisions, quantify opportunities, and help prioritise what to build and set goals to deliver value to people, businesses, and Meta. Analytics‑focused, you will guide teams using data and insights, develop hypotheses, apply a diverse toolkit of analytical approaches, test them, build credibility as a trusted strategic partner, work with complex data sets, and identify and measure success through goal setting, forecasting, and monitoring key product metrics to drive roadmaps in collaboration with Product and Engineering.

The role is a Senior Data Scientist in Atlassian’s App Ecosystem focused on driving insights to shape the future of app development and customer innovation, especially as AI enables customers and partners to build next‑gen apps on Forge, with emphasis on metrics, growth opportunities, and adoption challenges. You will partner with product, engineering, and data teams to deliver actionable recommendations that accelerate business success and keep Atlassian at the forefront of enterprise‑grade, AI‑enabled extensibility. Atlassian offers flexible work locations and is distributed‑first; this remote role is based in India and requires IST hours, with interviews and onboarding conducted virtually. Responsibilities include collaborating on cross‑functional product and business problems, using data to identify challenges, influence strategy, prioritize roadmaps, and ensure the products deliver value to people and businesses. Analytics focus involves guiding teams with data and insights, developing hypotheses, employing diverse analytical approaches, solving with complex data, and measuring success through goals, forecasting, KPIs, and driving product strategy and investments with cross‑functional partners.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a combination, and hires globally in any country where it has a legal entity. In this role, you will influence AI product feature development and roadmaps, and drive change through clear analysis and recommendations. You will collaborate with cross-functional partners, apply quantitative analysis and experimentation, and present data to develop strategies for the business—especially focused on the Atlassian Intelligence suite. You will develop hypotheses using various analytical methods and frameworks to test opportunities that could improve products and guide strategy and roadmaps. You will partner with teams to measure success with forecasting and monitoring key metrics, using data to shape product development, quantify opportunities, anticipate challenges, and ensure value for users, businesses, and Atlassian.

Atlassian offers flexible work locations—office, remote, or hybrid—and can hire people in any country where it has a legal entity. The role involves influencing AI product features and roadmaps and driving change through structured analysis and recommendations. You’ll collaborate with cross-functional partners to become a trusted strategic partner by applying quantitative analysis, experimentation, and clear data presentation to develop strategies, especially for the Atlassian Intelligence suite. You’ll define and test opportunities to improve products and guide business direction, using diverse analytical methods and frameworks to test hypotheses. You’ll work with cross-functional teams to inform and execute strategy, measure success with forecasts and key metrics, and use data to shape development and ensure the products deliver value to people, businesses, and Atlassian.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where the company has a legal entity. In this role, you will influence AI product features and roadmaps and drive impactful change through structured analysis and clear recommendations, collaborating with a diverse set of cross-functional partners to become a trusted strategic partner. You will apply technical expertise with quantitative analysis, experimentation, and data presentation to develop strategies for the business and help solve its biggest challenges, with a focus on the fast-paced Atlassian Intelligence suite of features. You will develop hypotheses using analytical approaches, frameworks, and technical methods to test them, and identify opportunities to improve products, guide business direction, and influence roadmaps through insights and recommendations. You will partner with cross-functional teams to inform, influence, and execute strategy decisions; identify and measure the success of product efforts through forecasting and monitoring of key product metrics; and use data to shape product development, quantify opportunities, and ensure the products deliver value to people, businesses, and Atlassian.

The Cloud Support Engineer - EMEA provides multi-channel support (chat and email) for Atlassian Cloud products, with responsibilities including isolating, diagnosing, reproducing, and fixing technical issues quickly. The role requires a motivated self-starter and self-learner who has strong customer service and technical problem-solving skills and is willing to work EMEA hours and occasional weekends. Atlassian offers a fun, casual, collaborative environment guided by values such as Open Company, Play as a Team, Build with Heart and Balance, Be the Change You Seek, and Don’t #@!% the Customer. Atlassian supports flexible work locations (office, home, or both) and hires in any country where they have a legal entity. You will resolve customer configuration issues, respond to questions via email and chat, identify gaps and propose solutions, drive collaborative discussions, ensure positive experiences with Cloud products, troubleshoot, implement workarounds for bugs, and provide ad-hoc guidance to customers, internal teams, and partners on implementing Confluence Cloud or Atlassian Access.

The Cloud Support Engineer - EMEA provides multi-channel support (via chat and email) for Atlassian Cloud products, including isolating, diagnosing, reproducing, and fixing technical issues. The role requires a motivated self-starter with strong customer service and technical problem-solving skills who embraces challenges and can work EMEA business hours, with flexibility for weekend support as needed. Atlassian promotes a culture of energy, creativity, collaboration, and customer focus, with values like Open Company, Play as a Team, Build with Heart & Balance, Be the Change You Seek, and a commitment to treating customers well, plus flexible work location options. Responsibilities include resolving customer configuration issues, responding to questions by email and chat, following processes and standards, identifying gaps and opportunities, and driving collaborative discussions within the team. The role also involves ensuring positive customer experiences with Atlassian Cloud products, understanding customer use cases, troubleshooting, implementing workarounds for product bugs, and providing ad-hoc guidance to customers, internal teams, and partners on implementing Confluence Cloud or Atlassian Access.

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.

The Senior Product Manager will own and execute Salable's end-to-end product strategy, translating monetization and product challenges into clear objectives and actionable plans. They will collaborate with engineering, design, marketing, support, and analytics to guide the product from concept to delivery, ensuring each release creates measurable value for customers and aligns with company goals. The role includes representing the product across the organization and in external conversations, making informed trade-offs based on technical foundations and the commercial landscape, and communicating vision and priorities to customers, stakeholders, and partners. A core focus is strengthening Salable’s product discipline by improving how insights are gathered, opportunities validated, roadmaps shaped, and cross-team alignment maintained as the product and company grow. Responsibilities also include setting the product vision, turning goals into plans, leading early customer and sales conversations to test direction, building an outcome-focused roadmap, prioritizing with data and constraints, guiding multiple teams through discovery and delivery, removing blockers, and establishing measurable goals with a culture of ongoing learning and improvement.

Atlassian supports flexible work locations (office, home, or hybrid), hires globally where it has a legal entity, and conducts interviews and onboarding virtually as part of a distributed-first model. The company is undergoing a transformation focused on efficiency, aiming to understand systems and cloud platforms to reduce costs while maximizing performance for customers. They are seeking an experienced Senior Principal Engineer to provide architectural oversight and technical leadership for the Resource Efficiency organization, comfortable working with senior leadership and navigating cross-organizational challenges, and to define scalable future states. The role is remote-friendly for the Pacific Time Zone and reports to the Head of Engineering for Resource Efficiency. Responsibilities include architecting and optimizing cloud infrastructure for millions of users, leading the migration of core Atlassian products to AWS/GCP, designing cost-efficient, high-performance systems for Jira and Confluence, partnering with product and other teams, driving architectural vision aligned with company OKRs, and collaborating with C-suite executives on long-term business objectives.

Atlassian allows employees to work in the office, from home, or in a hybrid arrangement, hires globally where it has a legal entity, and conducts interviews and onboarding virtually as part of its distributed-first culture. The company is undergoing a transformation focused on efficiency to reduce costs and maximize performance of cloud-based systems, using deep knowledge of its systems and cloud platforms to design scalable resource-efficient strategies. The Senior Principal Engineer for Resource Efficiency will provide architectural oversight and technical leadership, work with senior leadership on cross-organizational challenges, help define scalable future states, and report to the Head of Engineering for Resource Efficiency; the role is remote-friendly for the Pacific Time Zone. Responsibilities include architecting and optimizing cloud infrastructure for millions of users with low latency and high reliability, leading the migration of core Atlassian products to next-generation cloud platforms (AWS and GCP), designing cost-efficient, high-performance systems for Jira and Confluence, and partnering with product and engineering teams to launch innovative solutions aligned with company OKRs. The role also involves partnering with C-suite and senior leaders to align engineering efforts with long-term business objectives and leading cross-organizational initiatives that drive Atlassian’s growth and innovation.

Atlassian supports flexible work arrangements—office, home, or a combination—and hires globally where it has a legal entity, with interviews and onboarding conducted virtually as part of its distributed-first approach. The company is undergoing a transformation centered on efficiency, aiming to design systems that maximize performance while minimizing resource costs across cloud platforms for customers. The Senior Principal Engineer will provide architectural oversight and technical leadership to the Resource Efficiency organization, bringing deep experience with architecting complex cloud-scale systems and working across senior leadership and multiple teams. This remote-friendly role is Pacific Time Zone–focused, reports to the Head of Engineering for Resource Efficiency, and involves defining scalable future states while balancing long‑term vision with current business and technology challenges. Responsibilities include architecting and optimizing cloud infrastructure for millions of users, leading migration of core Atlassian products to next‑gen cloud platforms (AWS and GCP), delivering cost-efficient, high‑performance systems for Jira and Confluence, partnering with product and engineering teams, aligning work with Atlassian’s company‑level OKRs, and driving cross‑organizational initiatives with senior leadership.

Atlassian supports flexible work options—office, home, or hybrid—along with virtual interviews and onboarding, hiring globally where it has a legal entity. The company is undergoing a transformation focused on efficiency to improve performance and reduce costs for customers by deeply understanding cloud systems. They’re seeking a Senior Principal Engineer to provide architectural oversight and technical leadership for the Resource Efficiency organization, with extensive cloud-scale experience and the ability to collaborate with senior leadership across the company. The role is remote-friendly for the Pacific Time Zone and involves defining scalable architectural and organizational future states, balancing vision with current business and technology challenges, and reporting to the Head of Engineering, Resource Efficiency. Responsibilities include architecting and optimizing cloud infrastructure for millions of users, leading migrations to next-generation cloud platforms (AWS and GCP), designing cost-efficient systems for Jira and Confluence, partnering with product and engineering teams, driving architectural vision aligned with company OKRs, and collaborating with C-suite leaders on long-term objectives.

Atlassian offers flexible, distributed work options—employees can work from home, in an office, or hybrid, with global hiring and virtual interviews, and a Bengaluru office while enabling remote work across India. Atlassian is a global cloud leader using PostgreSQL at scale for Jira and Confluence, running millions of Postgres databases managed through AWS services. To meet evolving needs, the company is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies to pack thousands of databases into one cluster, manage connections at scale, and support custom extensions. The vision is to develop deep PostgreSQL expertise in the India team, including established PostgreSQL contributors, to drive open-source contributions and establish operational standards for schema management, upgrades, patching, and reliability. Key responsibilities include contributing to open-source projects, leading scalability and reliability initiatives for the self-managed Postgres, collaborating across teams to define strategy and deliver robust solutions, establishing best practices for distributed systems and cost optimization, and mentoring engineers toward technical excellence and open-source leadership.

Atlassian offers flexible work options—office, home, or a mix—along with virtual interviews and onboarding as part of a distributed-first approach; Bengaluru hosts the office, but eligible candidates can work remotely across India, and the company hires in any country where it has a legal entity. As a global leader in cloud collaboration and a major PostgreSQL user, Atlassian runs Jira and Confluence cloud on millions of Postgres databases managed through AWS, Aurora, and RDS, and is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies to efficiently pack thousands of databases into a single cluster and support extensive extensions. The vision is to establish deep PostgreSQL expertise within Atlassian, beginning with the India team, by assembling a group of experts—including established PostgreSQL contributors—to drive open-source contributions, set operational standards for schema management, upgrades, patching, reliability, and mentor engineers to become active contributors and thought leaders. Key responsibilities include contributing to open-source projects and representing Atlassian in the PostgreSQL community, leading initiatives to improve the self-managed Postgres’ scalability, performance, reliability, and security, and collaborating with cross-functional teams to define technical strategy and deliver robust storage solutions. The company also aims to promote best practices in distributed systems, cloud infrastructure, and cost optimization while mentoring engineers to foster technical excellence and continuous learning.

Atlassian offers flexible work options—office, home, or hybrid—and operates as a distributed-first company with virtual interviews and onboarding, hiring globally, with a Bengaluru office but remote eligibility across India. Atlassian is a global leader in cloud collaboration, with Jira and Confluence cloud products running on millions of Postgres databases managed on AWS, Aurora, and RDS. To address evolving needs, they are building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source tech to pack thousands of databases into a single cluster, manage connections at scale, and support custom Postgres extensions. The vision is to establish deep PostgreSQL expertise in Atlassian, starting with the India team, assembling a group that includes established PostgreSQL contributors to drive open-source contributions, enforce operational standards, and mentor engineers. Key responsibilities include contributing to open-source projects and representing Atlassian in the PostgreSQL community, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating on technical strategy for storage challenges, promoting best practices in distributed systems and cost optimization, and mentoring engineers toward technical excellence and open-source leadership.

Atlassian offers flexible work locations—office, home, or hybrid—with virtual interviews and onboarding as part of its distributed-first approach, and hires in any country with a legal entity, including remote roles across India from its Bengaluru office. It is a global leader in cloud collaboration and a major PostgreSQL user, with Jira and Confluence cloud products running on millions of Postgres databases managed via AWS, Aurora, and RDS. To meet evolving needs, Atlassian is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source tech, designed to pack thousands of databases into a single cluster, manage connections at scale, and support custom Postgres extensions. The vision is to establish deep PostgreSQL expertise within Atlassian, starting with the India team, by hiring established PostgreSQL contributors who will drive open-source work and set standards for schema management, upgrades, patching, and reliability. They will mentor engineers to become active open-source contributors and thought leaders, lead initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborate with cross-functional teams on storage challenges, and promote best practices in distributed systems, cloud infrastructure, and cost optimization.

Atlassian offers flexible working options—office, home, or hybrid—and hires globally with virtual interviews, with its office in Bengaluru and remote-work flexibility across India. As a cloud collaboration leader, Atlassian relies on PostgreSQL for Jira and Confluence, running millions of Postgres databases on AWS, Aurora, and RDS, and is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies to scale thousands of databases and support extensions. The vision is to establish deep PostgreSQL expertise within Atlassian, starting with the India team, by assembling experts and established PostgreSQL contributors who will contribute to the Postgres open-source community. The initiative will set up operational standards for schema management, upgrades, patching, and database reliability, while mentoring engineers to become active open-source contributors and thought leaders. Key responsibilities include contributing to open-source projects, representing Atlassian in the PostgreSQL community, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating with cross-functional teams, and promoting best practices in distributed systems, cloud infrastructure, and cost optimization.

Atlassian offers flexible work locations (office, home, or hybrid) and can hire globally where they have a legal entity, with Bengaluru as their office but remote work available across India for eligible candidates. Atlassian is a global cloud collaboration leader, with Jira and Confluence cloud products running on millions of Postgres databases managed through AWS, Aurora, and RDS. They are building a self-managed PostgreSQL platform on AWS and GCP using Kubernetes and open-source technologies to efficiently pack thousands of databases into a single cluster, manage connections at scale, and enable custom and existing Postgres extensions. The company aims to establish deep PostgreSQL expertise within Atlassian, starting with the India team, to contribute to the Postgres open-source community, set up operational standards, and mentor engineers to become active contributors and thought leaders. Key responsibilities include contributing to open-source projects, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating with cross-functional teams to define technical strategy, promoting best practices in distributed systems and cloud infrastructure, and mentoring engineers toward technical excellence.

Atlassian offers flexible work options—office, home, or hybrid—with virtual interviews and onboarding as part of its distributed-first approach, and while the Bengaluru office exists, eligible candidates can work remotely across India. As a global cloud leader and a major PostgreSQL user, Atlassian powers Jira and Confluence cloud deployments on millions of Postgres databases hosted on AWS, Aurora, and RDS. To address evolving needs, the company is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies. The platform is designed to pack thousands of databases into a single cluster, manage connections at scale, and enable custom Postgres extensions, with a vision to develop deep PostgreSQL expertise within Atlassian, starting with the India team. Key responsibilities include contributing to open-source projects and representing Atlassian in the PostgreSQL community, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating with cross-functional teams to define technical strategy, and mentoring engineers to establish best practices in distributed systems and cloud infrastructure.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of a distributed-first approach. - The company's mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that enable collaboration across diverse teams and industries, evidenced by impactful uses like NASA’s Mars rover and Cochlear’s hearing solutions. - Central AI Org drives AI innovation across Atlassian products, aiming to deliver horizontal AI capabilities, a centralized Search/Q&A/Conversational AI system, and integration of AI solutions beyond the Atlassian ecosystem. - The AI & ML Platform Team seeks to democratize AI for Atlassian’s teams, customers, and ecosystem by building productive tools to develop, deploy, measure, and operate AI/ML experiences, in alignment with security and data policies and integration with the Atlassian Data Platform. - The Principal Machine Learning System Engineer role involves leading core ML infrastructure, collaborating with product teams to solve ML challenges, curating datasets, fine-tuning LLMs, and delivering end-to-end ML solutions, with requirements including 5+ years in ML infra, MLOps, large-scale distributed systems, Python and ML frameworks, cloud familiarity, and GenAI/RAG experience.

Atlassian supports a distributed-first work model, letting employees choose office, remote, or hybrid arrangements, with virtual interviews and onboarding and global hiring wherever there is a legal entity. Atlassian’s mission is to unleash the potential of every team, anchored by Jira, Confluence, and Bitbucket to enable collaboration across diverse teams and industries, evidenced by how their tools power NASA’s Mars Rover and Cochlear’s hearing technologies. The Central AI Org is dedicated to AI innovation across all Atlassian products, building horizontal AI capabilities and infrastructure and establishing a centralized Search, Q&A, and Conversational AI system while exploring AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team strives to democratize AI by delivering tools that integrate with the Atlassian Data Platform, enabling development, deployment, measurement, and operation of AI/ML experiences with strict security and data usage policies. The Principal Machine Learning System Engineer role involves leading ML infrastructure from design to launch, collaborating with Jira/Confluence teams, curating datasets, fine-tuning LLMs, and requires 5+ years of experience in ML infrastructure, end-to-end ML lifecycle, MLOps, distributed systems, Python and ML frameworks, plus cloud, big data, and GenAI/RAG experience.

The Observability Patronus team builds and operates Atlassian’s core observability platforms, including Grafana Mimir and self-hosted Sentry (FedRAMP), to provide reliable, scalable, and compliant monitoring that ensures the health and performance of Atlassian’s products. The Senior Software Engineer in Observability will build platforms and define practices to keep Atlassian’s products rock-solid and fast for millions of users, handling multi-petabyte data daily and delivering it within seconds. This is a platform team at the intersection of infrastructure and software engineering, building and operating ultra-high-scale metrics systems, including one of the world’s largest Mimir clusters (10x the certified load) and tackling architectural and scaling challenges. The role empowers hundreds of Atlassian engineering teams with world-class observability solutions, promotes best practices, and requires delivering clean, high-quality code while mentoring junior engineers. You’ll drive complex projects autonomously from design to launch, automate processes, improve operational excellence, reduce costs, and deliver work that improves the reliability of thousands of engineers and services.

The Observability Patronus team at Atlassian builds and operates core observability platforms like Grafana Mimir and self-hosted Sentry (FedRAMP) to provide reliable, scalable, and compliant monitoring for Atlassian products. The Senior Software Engineer in Observability role focuses on building platforms and defining practices to keep products rock-solid and fast, ingesting multiple petabytes of data daily and delivering it within seconds. It’s a platform role at the intersection of infrastructure and software engineering, requiring expertise in both, and involves building ultra-high-scale metrics systems including one of the world’s largest Mimir clusters. The job involves driving complex projects autonomously from design to launch, managing mission-critical platforms, and leading automation and cost-reduction initiatives. You’ll mentor junior engineers, promote Observability standards across Atlassian teams, and deliver work that impacts thousands of engineers and services, improving product reliability.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires globally in any country where it has a legal entity. The Jira AI Org drives AI innovation across Jira, aiming to make Jira smarter and more efficient while building horizontal AI capabilities and exploring integrations with external AI solutions. The Senior Machine Learning Systems Engineer role involves collaborating with software engineers, data scientists, and product managers to solve complex problems and lead projects from design to launch. Responsibilities include delivering robust ML solutions for features that reach millions, curating ML datasets, fine-tuning open-source LLMs or leveraging proprietary LLMs, and mentoring junior engineers. Required qualifications include 4+ years of ML experience, end-to-end ML systems (data engineering, model serving, monitoring), expertise with GenAI frameworks and LLMs, proficiency in Python and PyTorch/TensorFlow/JAX, familiarity with Java/Kotlin, and experience with MLOps, CI/CD, and automation for continuous training and deployment.

- Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity, helping employees support family and personal goals. - Jira AI Org aims to drive AI innovation across Jira, making it smarter and more intuitive, establishing cross-feature AI capabilities, and exploring integrations of Jira with AI solutions 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, and delivering ML features that reach millions. - Responsibilities include curating ML datasets, fine-tuning open-source LLMs, leveraging proprietary LLMs, and mentoring junior team members. - Requirements are 4+ years of experience building ML/AI solutions, end-to-end ML systems (data engineering, model serving, monitoring), expertise with GenAI frameworks and LLMs, proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), familiarity with Java/Kotlin, and experience with MLOps and CI/CD for continuous training, deployment, and monitoring.

Atlassian supports flexible work arrangements and global hiring to empower teams, with products like Jira, Confluence, and Bitbucket that enable collaboration across organizations. The company's mission is to unleash the potential of every team and help teams worldwide change the world, as seen in high-impact uses from NASA's Mars Rover to Cochlear's hearing solution. The Central AI Org focuses on AI innovation across Atlassian products, building horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI and ML by delivering tools and infrastructure that integrate with the Atlassian Data Platform and enforce security and data usage policies, enabling teams to deploy AI/ML experiences efficiently. The Senior Machine Learning System Engineer role involves developing core infrastructure for engineers and data scientists, collaborating with product teams, curating datasets, fine-tuning open-source LLMs or using proprietary LLMs, leading projects from design to launch, and mentoring junior engineers while delivering solutions used by millions.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity, reflecting its mission to unleash the potential of every team. Its well-known products like Jira, Confluence, and Bitbucket support collaboration across teams and industries, with impact examples such as NASA's Mars Rover and Cochlear helping people hear. The Central AI Org drives AI innovation across Atlassian products, building horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by creating productive, reliable tools for building, deploying, measuring, and operating AI experiences, integrated with the Atlassian Data Platform and governed by security and data usage policies. As a Senior Machine Learning System Engineer, you will develop core infrastructure for ML, collaborate with Jira and Confluence teams, curate datasets, fine-tune LLMs, lead projects from design to launch, deliver AI features used by millions, perform code reviews and documentation, and mentor junior team members.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, all aligned with its mission to unleash the potential of every team. Its products, including Jira, Confluence, and Bitbucket, support collaboration across diverse teams and have powered real-world breakthroughs such as NASA's Mars Rover and Cochlear's hearing solutions. The Central AI Org is dedicated to AI innovation across Atlassian, building horizontal AI capabilities and infrastructure while establishing a centralized Search, Q&A, and Conversational AI system and exploring integration with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by creating reliable tools that integrate with the Atlassian Data Platform, enabling development, deployment, measurement, and operation of AI capabilities with strong security and data usage policies. As a Senior Machine Learning System Engineer, you would help design and evolve core ML infrastructure, collaborate with Jira and Confluence teams, curate datasets, fine-tune LLMs, lead projects from design to launch, deliver solutions used by millions, perform code reviews and documentation, and mentor junior engineers.

Atlassian supports flexible work arrangements and hires globally where it has a legal entity, all under a mission to unleash the potential of every team with products like Jira, Confluence, and Bitbucket that empower collaboration across industries (including examples like NASA and Cochlear). The Central AI Org focuses on driving AI innovation across Atlassian’s products and platforms, delivering seamless AI experiences, developing horizontal AI capabilities, and establishing a centralized Search, Q&A, and Conversational AI system while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI and ML for Atlassian’s teams and ecosystem by building productive, reliable tools to develop, deploy, measure, and operate AI/ML experiences, integrated with the Atlassian Data Platform and aligned with security and data usage policies. As a Senior Machine Learning System Engineer on this team, you’ll help build the core infrastructure that enables software 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 to address their ML challenges, including curating datasets and fine-tuning open-source or proprietary LLMs. You’ll lead projects from technical design to launch, deliver cutting-edge AI features used by millions of customers, perform code reviews, documentation, and bug fixes, partner across engineering teams on company-wide initiatives, and mentor junior team members.

Atlassian lets employees choose where they work—office, home, or a hybrid—and they hire globally where they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. Jira is Atlassian’s flagship work-tracking product, and working on Jira Experience as an ML engineer means building the intelligence layer that orchestrates work between humans and machines. You’ll design AI that infers intent from messy, unstructured input, recommends the next best action across fragmented tools, and personalizes workflows for each team, tackling a broad problem space including large-scale retrieval and ranking, representation learning on the teamwork graph, multi-modal understanding, and human-in-the-loop systems. It’s a rare opportunity to solve hard ML problems that directly reshape how teams coordinate, collaborate, and ship work using Jira, with responsibilities ranging from technical design to launch and collaboration with Product, Engineering, and Design leads to translate requirements into solid engineering deliverables while delegating work. You’ll deliver data-driven, customer-centric features, contribute to code reviews and documentation, fix complex bugs in high-risk areas, and apply expertise in data analysis, statistics, and logical reasoning to inform decision-making and architectural standards.

Atlassian supports flexible, distributed work—employees can be in an office, from home, or a mix—and hires in any country with a legal entity, with interviews and onboarding conducted virtually. Jira is Atlassian’s flagship work-tracking product, and working on Jira Experience as an ML engineer means building the intelligence layer that orchestrates work between humans and machines, inferring intent from unstructured input, recommending the next best action, and personalizing workflows. The problem space is broad—including large-scale retrieval and ranking, representation learning on the teamwork graph, multi-modal understanding across text and video, and human-in-the-loop systems embedded in the product. This is a rare opportunity where solving hard ML problems directly reshapes how teams coordinate, collaborate, and ship work using Jira, as you tackle the largest and most complex problems from technical design to launch and translate requirements into solid engineering deliverables with Jira AI leads. You’ll deliver solutions that are data-driven and customer-centric, contribute to architecture standards, lead code reviews, documentation, and high-risk bug fixes, and apply expertise in data analysis, statistics, and logical reasoning to inform decisions.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity, giving employees greater control over family, personal goals, and priorities. You’ll join a world-class Data Science team that partners with Product Managers, Researchers, Data Engineers, Marketers, Privacy, and Executives to drive insights about products and customers. In this role, you will collaborate on diverse product and business problems with cross-functional partners and apply quantitative analysis, experimentation, and data presentation to develop strategies and solve major business challenges. You will develop hypotheses through various analytical approaches and test them, define opportunities to improve products and business, and influence roadmaps with insights and recommendations, working with cross-functional teams to inform, influence, and execute strategy decisions. You will forecast and monitor key product metrics to measure success, shape product development with data, identify opportunities and challenges, and ensure the products we build deliver value to people, businesses, and Atlassian.

Atlassian offers flexible work options, letting employees work in an office, from home, or a mix, and they hire in any country where they have a legal entity. You will be part of a world-class Data Science team that collaborates with Product Managers, Researchers, Data Engineers, Marketers, Privacy, and Executive teams to drive insights about products and customers. The team uses a range of analysis and data-science techniques to understand how customers engage with Atlassian’s products and communications, and to identify, design, and measure the success of product investments. In this role, you will collaborate on cross-functional problems, apply quantitative analysis and experimentation, develop and test hypotheses, and influence roadmaps through insights and recommendations. You will forecast and monitor key product metrics, inform strategy decisions, shape product development, identify opportunities, and ensure the products we build bring value to people, businesses, and Atlassian.

The role is a Principal Data Scientist at Atlassian’s App Ecosystem, providing strategic and technical leadership to guide analytics initiatives that help customers and partners leverage AI to build innovative apps. You’ll collaborate with product, engineering, and business leaders to inform platform strategy, drive a measurement culture, and deliver insights that accelerate ecosystem growth and the adoption of AI-powered solutions. You’ll drive projects as a tech lead or mentor data scientists, champion best practices, and foster a world-class analytics culture to keep Atlassian at the forefront of SaaS extensibility and intelligence. You will work cross-functionally across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others to use data to identify major challenges, influence strategy, prioritize what to build, set goals, and quantify opportunities. Analytics work includes guiding teams with data and insights, developing hypotheses, applying diverse analytical approaches, conducting experimentation and data mining, presenting clear insights to influence partners, and defining success metrics and roadmaps.

The role is Principal Data Scientist in Atlassian’s App Ecosystem, providing strategic and technical leadership to guide analytics initiatives and leverage emerging AI technologies for building innovative apps. You’ll collaborate with product, engineering, and business leaders to inform platform strategy, drive a measurement culture, and deliver insights that accelerate ecosystem growth and AI-powered adoption. By leading projects or serving as a tech lead, mentoring data scientists, and championing best practices, you’ll foster a world-class analytics culture and help Atlassian stay at the forefront of SaaS extensibility and intelligence. Atlassian offers flexible work arrangements and hires in any country with a legal entity; you’ll collaborate with cross-functional teams to solve problems, influence strategy and investments with data, and help prioritize what to build and set goals to support the ecosystem. Analytics responsibilities include guiding teams with data and insights, developing hypotheses, employing diverse analytical approaches, building credibility, solving complex data problems, applying quantitative analysis and experimentation, and identifying metrics and roadmaps to inform product strategy and investments.

The Rovo Mobile team is seeking 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, assess their impact and usability, and be responsible for feature development and regular releases. The role emphasizes customer focus, delivering high-quality features and infrastructure that are fast, testable, and scalable to empower users. You will drive cross-functional collaboration with engineers, designers, and managers, contribute to code reviews and documentation, fix complex bugs, and lead projects from technical design through launch and operation. You will also onboard and mentor junior engineers.

The Rovo Mobile team is seeking an experienced principal mobile developer skilled in React Native to help build the AI vision on mobile 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 being customer-focused, building high-quality features and infrastructure that are fast, testable, and scalable to empower users. You will drive collaboration with engineers, designers, and managers to understand user pain points, contribute to code reviews and documentation, and tackle complex bug fixes. You will lead projects end-to-end—from technical design and implementation to launch and operation—and onboard and mentor junior engineers.

The Rovo Mobile team is seeking an experienced principal mobile developer familiar with React Native to help build the company’s AI vision on mobile devices and to build 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. As part of the team you will be responsible for feature development and delivering regular releases of the app. The role emphasizes customer focus, building fast, testable, and scalable features and infrastructure, and driving collaboration with engineers, designers, and managers to address user pain points. You will lead projects from technical design through implementation and launch to operation, contribute to code reviews and documentation, fix complex bugs, and onboard and mentor junior engineers.

The Rovo Mobile team is seeking an experienced principal mobile developer with React Native to help build AI vision on mobile and to build the Rovo app at Atlassian. The role involves collaborating with design to develop new features and workflows, validating their impact and usability, and delivering regular app releases. The team focuses on customer-centric experiences, choosing technologies to empower users, and building fast, testable, and scalable features and infrastructure. The engineer will drive collaboration with other engineers, designers, and managers to understand user pain points and iterate on solutions, contribute to code reviews and documentation, and tackle complex bug fixes. The position includes leading projects end-to-end from technical design and implementation to launch and operation, as well as onboarding and mentoring junior engineers.

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 lets employees choose where to work—office, home, or a mix—and hires in any country where the company has a legal entity. - Their Future Team Search Platform powers fast, relevant, and reliable search across all Atlassian products with scalable runtime systems and robust serving infrastructure to ensure quick results. - The Principal Machine Learning Systems Engineer role sits at the intersection of search, ML, and experimentation (about 70% engineering and 30% ML), tackling large projects, designing architectures, developing ranking models, driving feature engineering at scale, and overseeing end-to-end production deployment with monitoring. - The role includes leading code reviews and documentation, mentoring junior engineers, partnering with multiple teams on company-wide programs, and communicating complex concepts clearly to technical and non-technical stakeholders. - The ideal candidate has 10+ years of hands-on software/technology leadership with end-to-end lifecycle responsibility, experience with ML workflows and observability at scale, a proven track record of leading AI/ML products, a CS-focused degree, proficiency in languages such as Java or Python, and cloud experience, with preferred extras in OpenSearch/Elasticsearch, developer productivity, online/offline 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 supports a distributed-first work model, allowing employees to work in-office, from home, or hybrid, with virtual interviews and onboarding and hiring in any country where the company has a legal entity. - The company’s mission is to unleash the potential of every team, with Jira, Confluence, and Bitbucket powering collaboration across diverse industries. - The Central AI Org drives AI innovation and builds a robust AI infrastructure, including a centralized search, Q&A, and conversational AI system, while exploring integrations beyond the Atlassian ecosystem. - The AI & ML Platform Team aims to democratize AI and ML for Atlassian’s teams by delivering tools that support development, deployment, measurement, and operation of AI/ML experiences, integrated with the Atlassian Data Platform. - The Principal Machine Learning System Engineer role involves building core ML infrastructure, collaborating with product teams on ML solutions, curating datasets and fine-tuning LLMs, leading projects end-to-end, and requires 5+ years of experience in ML infra, lifecycle, MLOps, distributed systems, Python and ML frameworks, plus cloud, big data, performance tuning, and GenAI/RAG experience.

At Atlassian, you can work from an office, home, or a hybrid setup, and the company hires in any country where it has a legal entity, with virtual interviews and onboarding as part of being a distributed-first organization. Atlassian’s mission is to unleash the potential of every team, behind products like Jira, Confluence, and Bitbucket that support collaboration across diverse teams and enable breakthroughs such as NASA’s Mars Rover and Cochlear’s hearing devices. The Central AI Org drives AI innovation across Atlassian products, building horizontal AI capabilities and infrastructure and establishing a centralized Search, Q&A, and Conversational AI system that can integrate with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by delivering reliable tools that integrate with the Atlassian Data Platform, enabling teams to develop, deploy, measure, and operate AI/ML experiences while adhering to security and data-use policies. As a Principal Machine Learning System Engineer, you’ll lead projects from design to launch, collaborating with Jira and Confluence teams to build and fine-tune LLMs or access proprietary models, and you’ll need extensive ML infra experience (about 5+ years), end-to-end ML lifecycle expertise, MLOps, large-scale distributed systems design, Python and ML frameworks, cloud and big data familiarity, and GenAI/RAG experience.

At Atlassian, employees can work in the office, from home, or in a hybrid arrangement, with virtual interviews and onboarding as part of a distributed-first approach. The company hires globally in any country where it has a legal entity and focuses on tackling large, complex problems from technical design to launch. Engineers work closely with Product, Engineering, and Design leads in Jira AI to translate requirements into solid deliverables, delegate work to teams, and deliver solutions used by other teams and products. They follow a Product Engineer mindset—building data-driven, customer-centric features, tackling architecture challenges, defining standards, contributing to code delivery through reviews, direct contributions, and fixing high-risk bugs, and using data analysis, statistics, and logical reasoning for decisions. They partner across engineering teams on company-wide initiatives and mentor junior members.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires globally for a distributed-first company, with virtual interviews and onboarding. - Engineers regularly tackle the largest and most complex problems, from technical design to launches, by collaborating with Jira AI product, engineering, and design leads to translate requirements into solid engineering deliverables and delegating work. - They deliver solutions used by other teams and products, adopting a Product Engineer mindset—building data-driven, customer-centric features for Jira AI while addressing complex architecture and defining architectural standards. - The role involves active code delivery contributions through code reviews, direct coding, and fixing bugs in high-risk areas, supported by expertise in data analysis, statistics, and logical reasoning for data-driven decisions. - They partner across engineering teams on company-wide initiatives and mentor junior members of the team.

Atlassian offers flexible work options—office, remote, or a mix—and hires people worldwide where the company has a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. The role centers on influencing AI product feature development and roadmaps, driving impactful change through structured analysis and recommendations. You will collaborate with a diverse set of cross-functional partners to become a trusted strategic partner, applying technical expertise with quantitative analysis, experimentation, and data presentation to shape business strategies, especially for the Atlassian Intelligence suite. You will develop hypotheses using analytical approaches, methodologies, frameworks, and technical methods to test them, and define and test opportunities to improve products, guide business direction, and influence roadmaps. You will partner with cross-functional teams to inform, influence, and execute strategy decisions, and identify and measure success via forecasting and monitoring key product metrics to understand trends, using data to shape development, quantify opportunities, identify challenges, and ensure products deliver value to people, businesses, and Atlassian.

Atlassian supports flexible work options (office, home, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. In this role you will influence AI product features and roadmaps through structured analysis and clear recommendations. You will collaborate with diverse cross-functional partners and apply technical expertise, quantitative analysis, experimentation, and data presentation to develop strategies, especially for the Atlassian Intelligence suite. You will focus on developing hypotheses via various analytical approaches and test them to identify opportunities to improve products and guide roadmaps. You will partner with teams to forecast and monitor key metrics, measure success, and use data to shape product development to ensure value for customers and Atlassian.

Atlassian hires people in any country where it has a legal entity and allows remote or office-based work; interviews and onboarding are conducted virtually as part of being a distributed-first company, assuming eligible work rights and sufficient timezone overlap. With sufficient timezone overlap, the company can hire eligible candidates for this role from any location in Australia or New Zealand. The future team is a world-class engineering organization within a unified R&D function, focused on building an empowered team culture and advancing cloud adoption while delivering value across Jira, Confluence, Trello, and Bitbucket. In this role, you’ll tackle large, complex frontend problems, deliver shared frontend platforms and tooling, determine plans of attack on cross-team projects, and drive standards for TypeScript, React, state management, data fetching, and release strategies, including rigorous code reviews and incident handling. You’ll partner with engineering, product, design, and research to drive company-wide initiatives (accessibility, performance, reliability, security, privacy), transfer knowledge across JavaScript/TypeScript and modern web frameworks, mentor engineers, and influence hiring standards and technical leveling.

- 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.

The Atlassian Marketplace team builds the ecosystem that enables partners and millions of users to extend, customize, and get more value from Atlassian products, making it central to customer success and Atlassian’s long-term strategy. They design experiences that help customers discover, evaluate, and adopt apps, while empowering partners with tools and insights to grow their businesses. Their strategy focuses on leveraging AI to enhance the marketplace experience and to support a new wave of AI-powered apps for customers. You’ll join a multi-disciplinary team of designers, product managers, and engineers who value collaboration, craft, and experimentation, and as a Lead Product Designer you’ll shape how millions extend workflows and how thousands of partners grow their businesses. The Lead Product Designer role includes leading end-to-end design for Marketplace initiatives, mentoring designers, evolving design systems, partnering across Atlassian, advocating for customers and partners with data and experimentation, and championing AI-driven design; Atlassian supports a distributed-first work model with global hiring and virtual interviews/onboarding.

The Atlassian Marketplace team builds the ecosystem that enables partners and millions of users to extend, customize, and get more value from Atlassian products, and serves as the hub of Atlassian’s app ecosystem central to customer success and long-term strategy. The team designs experiences to help customers discover, evaluate, and adopt apps, and focuses on leveraging AI to make this process smarter, while enabling partners to innovate with next-gen AI-powered apps. You’ll join a multidisciplinary group of designers, product managers, and engineers who value collaboration, craft, and experimentation, and as a Lead Product Designer you’ll shape how millions extend workflows and how thousands of partners grow their businesses. The role entails leading end-to-end design for Marketplace initiatives—from strategy and discovery to delivery—framing complex problems, mentoring designers, scaling design systems, and partnering with Atlassian to align with ecosystem priorities, all while championing AI-driven design. Atlassian supports a distributed-first, globally hireable approach with virtual interviews and onboarding; Lead Designers are expected to operate at high complexity, influence across disciplines, deliver exceptional design, coach the team, and drive strategic initiatives aligned with product and business goals.

Atlassian supports flexible work locations and globally hires with virtual interviews and onboarding as part of its distributed-first approach. The Lead Product Designer will shape the vision and system for the JSM Help Center and drive AI-powered experiences across Atlassian’s product ecosystem. The role combines visual design, interaction design, information architecture, and systems thinking, with ownership of the end-to-end design process from problem framing to launch. You’ll have substantial impact at scale, working with millions of users (over 10M) and collaborating with engineers, PMs, content designers, marketing experts, and analysts while championing accessibility, transparency, and ethical AI. You’ll mentor and coach designers, facilitate critiques, grow AI design literacy, and elevate team culture.

Atlassian supports flexible, distributed-first work locations and hires globally with virtual interviews and onboarding. The Lead Product Designer role is to shape the vision and system for the JSM Help Center and drive AI-powered experiences across Atlassian’s product ecosystem. The position requires excellence in visual design, interaction design, information architecture, and systems thinking, defining how millions of users interact with Atlassian products while balancing clarity, craft, and AI-enhanced capabilities. You will lead design projects end-to-end—from problem framing and research to systemization, flows, visuals, prototyping, handoff, and launch quality—owning customer value and outcomes. You’ll collaborate with engineers, product managers, content designers, marketing experts, and analysts, mentor designers, advocate for accessibility and ethical AI, and help grow AI design literacy and team culture at scale.

Atlassian supports flexible work arrangements, including in-office, remote, or hybrid options, and hires people in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The Lead Product Designer role is to shape the vision and system for the JSM Help Center and drive AI-powered experiences across Atlassian’s product ecosystem. The role is multi-faceted, requiring excellence in visual design, interaction design, information architecture, and systems thinking, and you will define end-to-end user interactions for millions of users. You’ll own the design process from problem framing through research, systemization, flows, visuals, prototyping, handoff, and launch, with substantial autonomy across the entire design lifecycle. You’ll collaborate with engineers, product managers, content designers, marketing experts, and analysts; mentor designers, facilitate critiques, grow AI design literacy, and champion accessibility and ethical AI to drive impact for more than 10 million users.

Atlassian is seeking a Cloud Network Engineer for its Edge Networking team to scale cloud networking services and manage global proxy fleets that support Jira, Confluence, Trello, and Bitbucket. The ideal candidate is a technical leader who stays current with industry trends in networking, proxies, and reliability, enjoys sharing knowledge, and can balance operational and project work. The role requires a deep understanding of modern cloud networking, programming, and operational experience, with a drive to improve reliability, performance, scalability, and cost efficiency. The position reports to the Senior Engineering Manager of Edge Networking, and Atlassian offers flexible work locations and hires in any country where it 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, contributing to large projects delivering new networking features, designing network features, investigating opportunities to improve security, reliability, and cost efficiency, and mentoring/hiring.

The company Atlassian seeks a Cloud Network Engineer for its Edge Networking team to scale cloud networking services and ensure reliable global connectivity for products like Jira, Confluence, Trello, and Bitbucket. The role involves owning cloud infrastructure, tooling, and automation, and requires a technical leader who stays current with networking trends, proxies, and reliability, capable of balancing operational and project work and mentoring others. The candidate should have deep knowledge of modern cloud networking, programming, operational experience, and a drive to improve reliability, performance, scalability, and cost efficiency, reporting to the Senior Engineering Manager of Edge Networking. Atlassian emphasizes flexibility in work location, allowing office, remote, or hybrid work, and hires in any country where it has a legal entity. Key responsibilities include automating and operating large proxy fleets across regions, responding to operational events, delivering networking features on major projects, designing new features, investigating security and cost improvements, and contributing to mentoring and hiring.

- Atlassian is hiring a Cloud Network Engineer for the Edge Networking team to scale cloud networking services and ensure a reliable network experience for Jira, Confluence, Trello, and Bitbucket. - The ideal candidate is a technical leader who stays current with industry trends in networking, proxies, and reliability, and who can balance operational and project work while sharing knowledge. - Responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events, and contributing to major projects delivering new networking features. - They will design new network features, investigate security, reliability, and cost-efficiency improvements, and contribute to mentoring and hiring. - Atlassian offers flexible work locations and can hire in any country with a legal entity; the role reports to the Senior Engineering Manager of Edge Networking and focuses on improving reliability, performance, scalability, and cost efficiency.

Atlassian’s Edge Networking team owns the cloud infrastructure, tooling, and automation that enable global customers of Jira, Confluence, Trello, and Bitbucket to have a reliable network experience, and we’re looking for a Cloud Network Engineer to join the team. The ideal candidate is a technical leader with current knowledge of cloud networking, proxies, and reliability, who can balance operational and project work and enjoys sharing knowledge with others. Key responsibilities include writing code to automate and operate large proxy fleets across multiple globally distributed regions, responding to operational events with mitigations, contributing to major networking projects, designing new features, and investigating security, reliability, and cost efficiency improvements. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where we have a legal entity; this role is for the Cloud Network Engineer on the Edge Networking team. The position reports to the Senior Engineering Manager of Edge Networking and includes mentoring and hiring duties, with a focus on raising reliability, performance, scalability, and cost efficiency of services and processes.

Atlassian is seeking a Cloud Network Engineer for the Edge Networking team, which owns the cloud infrastructure, tooling, and automation that provide a reliable network experience for Atlassian’s global products. The ideal candidate is a technical leader with deep modern cloud networking expertise, programming ability, operational experience, and a drive to scale services while improving 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 and mitigations, contributing to large projects delivering new networking features, designing new network features, investigating security and reliability improvements, and mentoring/hiring. The role reports to the Senior Engineering Manager of Edge Networking and aims to analyze and improve services and processes to reach a higher level of reliability, performance, scalability, and cost efficiency. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity; this position is for the Edge Networking team.

The Senior Solutions Consultant at Zendesk handles all technical, solution, and competitive aspects of the sales cycle, acts as the technical bridge between Account Executives and prospects, and owns the prime technical relationship to ensure customer happiness through onsite, online, and virtual engagements. Requirements include 5+ years of mid-market/enterprise software sales, the ability to map RFI/RFP requirements to software solutions, excellent interpersonal and communication skills, strong discovery and objection-handling abilities, and experience scoping, managing, and executing customer pilots and proofs of concept with defined success criteria and timelines. The role also requires knowledge of web/scripting technologies (HTML, CSS, JavaScript), prompt engineering, and SaaS applications, plus outstanding problem-solving and solution scoping abilities, including the capacity to learn emerging AI technologies quickly and to use LLMs like ChatGPT and Gemini where appropriate. Desirable skills include experience in contact centers, vertical industry expertise, prior consulting in enterprise software implementations, familiarity with Customer Service Software, ITSM, data warehousing, BI, and workforce engagement, and experience developing or selling AI solutions, as well as formal B2B/Sandler or Challenger-style sales training. The US annualized OTE ranges from $151,000 to $227,000 with an 80/20 base/commission mix and potential bonuses, with travel up to 40%; Zendesk also highlights a hybrid work model, commitment to diversity and inclusion, and equal opportunity employment, including accommodation for disabilities.

Zendesk is hiring a hybrid Frontend QA Engineer (remote and on-site) who must relocate to Pune and be based in Karnataka or Maharashtra, with three days in the office. The role requires 7+ years of software testing experience, including at least 3+ years focused on frontend/UI testing, strong Cypress UI testing skills, and proficiency in JavaScript and TypeScript, plus experience managing GitHub CI/CD pipelines. Key responsibilities include designing and executing UI test plans using Cypress and Capybara, collaborating with frontend developers, maintaining scalable automated testing frameworks, analyzing results and defects, managing testing infrastructure, implementing CI/CD pipelines, mentoring engineers, and participating in product design reviews. Preferred qualifications include experience with other UI testing frameworks like Selenium or Playwright, knowledge of Jest/Jasmine/Mocha, familiarity with Git, and understanding of modern frontend frameworks (React, Angular, Vue) or cloud-based testing environments. Zendesk emphasizes a hybrid, inclusive culture, notes that AI may screen applications, and offers accommodations; the exact in-office schedule and location are determined by requisition, with eligible candidates located in Karnataka or Maharashtra being considered.

Zendesk's Enterprise BI & Reporting team is seeking a proactive BI Lead (Senior Analyst) to support enterprise dashboards using Tableau, Looker, and Snowflake, enabling scalable self-service capabilities and standards across the organization. The role is a technical expert responsible for eliciting requirements, analyzing data, recommending BI solutions, and building insightful visualizations, while guiding stakeholders and mentoring other BI analysts. Key responsibilities include refining requirements with internal customers, translating business needs into BI solutions, developing user materials, performing data profiling and statistical analyses, and delivering dashboards, reports, or datasets that impact the business. Required qualifications include a Bachelor's in Information Systems or equivalent, 5+ years in a BI/Analytics role with large-scale BI experience, strong SQL/Python and BI tools (Looker, Looker Studio, Tableau), data modeling and data warehouse experience, ability to lead large BI projects, travel up to 5%, and eligibility to work from Mexico City or Estado de Mexico with a hybrid onsite schedule. Zendesk emphasizes a diverse, inclusive workplace, hybrid working arrangements, AI screening per company guidelines, and accommodations for applicants with disabilities, with opportunities to work in offices around the world.

Zendesk is seeking a Director, Global Specialist Organization to lead and scale three specialist teams—Employee Service (ES), CCaaS, and Workforce Engagement Management (WEM)—as trusted advisors that accelerate adoption, drive value, and strengthen retention, with AMER or EMEA remote location and reporting to Oliver Nono. The ideal candidate will be strategically and operationally strong, with deep expertise in at least one domain and a proven track record of leading high-performing teams across segments, regions, and product surfaces, partnering closely with CS, Professional Services, Sales, Renewals, Product, and CX Enablement. Responsibilities include building and scaling the global specialist functions, establishing a unified strategy and operating model, developing managers, and driving adoption, value realization, and risk-mitigation frameworks, along with data-driven governance and collaboration with CX programs. Requirements include 12+ years in Customer Success, Professional Services, or GTM roles within enterprise SaaS, 5+ years leading teams, deep domain expertise in ITSM/Employee Experience, CCaaS, or WEM, global multi-regional experience, strong cross-functional influence, excellent communication and analytics, and willingness to travel quarterly. Zendesk emphasizes a hybrid, inclusive workplace, AI screening as part of the process, equal opportunity employment, and accommodations for applicants with disabilities.

Atlassian emphasizes openness about security programs and metrics to build trust and invites other cloud providers to do the same. The Head of Detection & Response is a senior security engineering leader responsible for Atlassian’s global incident detection, response, threat intelligence, and security operations across cloud-first environments, setting strategy and delivering measurable outcomes. Compensation is equitable, explainable, and competitive, with US base pay ranges by geographic zone: Zone A $252,100–$336,200, Zone B $226,900–$302,600, Zone C $209,300–$279,000, and eligibility for benefits, bonuses, commissions, and equity, with zone confirmation through the recruiter. The role requires defining and executing a multi-year DnR strategy aligned to Trust, cloud platform, and AI-driven priorities, achieving improvements in MTTD, MTTC, and MTTR with SLOs. It also entails operationalizing modern detections, automated response, and threat intel fusion, embedding security across the product lifecycle, overseeing SOC evolution, and establishing a proactive threat intelligence program.

Atlassian's mission is to fuel the potential of every team, and its Security Team aims to build trust by leading cloud and product security and by openly sharing its journey to encourage transparency across the industry. The Head of Detection & Response is a senior security engineering leader responsible for Atlassian’s global incident detection, response, threat intelligence, and security operations across cloud-first environments, driving strategy and measurable outcomes. Atlassian emphasizes equitable, explainable, and competitive compensation with a higher baseline than the typical market range and three US geographic pay zones, with base pay determined by skills and experience and potential eligibility for benefits, bonuses, commissions, and equity. In this role, you’ll define and execute a multi-year DnR strategy aligned to Atlassian’s Trust, cloud platform, and AI-driven priorities, achieving improvements in MTTD, MTTC, and MTTR with reliability targets and SLOs, and you’ll operationalize detections, automated response, and threat intel fusion. You’ll also work closely with product development teams to embed security across the development lifecycle, oversee the evolution of the SOC to ensure top-tier monitoring, and establish a threat intelligence program to provide insights for proactive security measures.

SmartBear offers API Hub, Insight Hub, and Test Hub with HaloAI to bring visibility and automation to software development, trusted by over 16 million developers at more than 32,000 organizations. The company seeks a Senior Product Marketing Manager to lead go-to-market strategy, positioning, and revenue impact for the API design and governance portfolio, including Swagger Studio, Portal, Explore, and Stoplight. Responsibilities include owning end-to-end portfolio strategy and messaging, driving pipeline with Growth Marketing, leading GTM execution from beta to GA, and enabling sales with technical content and training. Basic qualifications require 7+ years in B2B SaaS product marketing, strong API technical acumen, experience marketing developer tools, and ability to engage technical buyers; preferred qualifications include API lifecycle experience and familiarity with OpenAPI/Swagger/Stoplight, plus product-led growth background. SmartBear emphasizes career growth, inclusive culture, and social responsibility, with offices worldwide and multiple industry awards, and is an equal opportunity employer.

- Atlassian supports flexible, distributed work and hires globally with virtual interviews and onboarding. - Trust Engineering is Atlassian’s centralized team within Trust that builds platforms and services for Security, Privacy, Product Abuse, and GRC to bolster customer trust and enable AI/ML capabilities. - You’ll form a new team of engineers to build and scale AI/ML platforms and solutions that underpin Atlassian’s security, privacy, anti-abuse, and compliance posture, with a focus on AI safety and responsible AI. - Responsibilities include leading AI/ML strategy, designing scalable ML infrastructure, ensuring privacy and regulatory compliance, mentoring teams, collaborating cross-functionally, innovating with the latest AI tech, enabling reusable platforms, and maintaining operational excellence. - Required background includes 12+ years in ML/AI with production-grade systems and strong coding and cloud skills; desirable adds AI safety, privacy engineering, security automation, or GRC experience; joining offers the opportunity to shape the future of AI/ML for security, privacy, product abuse, and compliance and to work with world-class engineers on high-impact projects.

- Atlassians can choose to work in an office, from home, or a mix, giving them control over personal priorities, and Atlassian hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. - Trust Engineering is Atlassian’s centralized software engineering team within Trust, delivering platforms and services for Security, Privacy, Product Abuse, and GRC to build customer trust and advance AI/ML capabilities for Trust and Security. - You’ll form a new team to build and scale AI/ML platforms and solutions that underpin Atlassian’s security, privacy, anti-abuse, and compliance posture, acting as a platform and enablement team and partnering with stakeholders while leading AI safety and responsible AI for enterprise environments. - On day one, you should have a bachelor’s, master’s, or PhD in a relevant field or equivalent experience, 12+ years of industry ML/AI experience delivering production-grade systems, deep expertise in Python/Go/Java, and familiarity with SQL, Spark, and cloud data environments, plus strong communication and agile execution skills; optional but beneficial experience includes AI safety, privacy engineering, anti-abuse, or GRC-related work. - Why join: shape the future of AI/ML for security, privacy, product abuse, and compliance at Atlassian; work on high-impact projects that enhance customer trust; and collaborate with world-class engineers in a mission-driven, inclusive environment.

Atlassian offers flexible work locations globally with a distributed-first approach, and interviews and onboarding are conducted virtually in any country where the company has a legal entity. Trust Engineering is Atlassian’s centralized software engineering team within the Trust organization, delivering platforms and services for Security, Privacy, Product Abuse, and Governance, Risk, and Compliance, with a mission to build customer trust through systems that describe, monitor, and accelerate Atlassian products and to lead AI/ML capabilities for Trust and Security. You’ll join a new team of engineers dedicated to building and scaling AI/ML platforms and solutions that underpin Atlassian’s security, privacy, anti-abuse, and compliance posture, operating as a platform and enablement team that partners with stakeholders and leads on AI safety and responsible AI for enterprise environments. Your responsibilities include leading AI/ML strategy for Trust; architecting and scaling ML platforms; advancing AI safety, explainability, and regulatory alignment; cross-functional collaboration; mentoring; innovation; platform enablement; and ensuring operational excellence of ML-powered Trust services. The ideal candidate has 12+ years of ML/DS/AI experience (with a BA/BS or higher in CS/stats/math or equivalent), deep coding expertise in Python/Go/Java, SQL/Spark/cloud data environments, a track record of production ML in security/privacy domains, strong communication, and an agile, problem-solving mindset; plus preferred experience in AI safety, privacy engineering, LLMs, or mentoring, and joining offers a high-impact, inclusive environment to shape Atlassian’s AI/ML future.

Atlassian lets employees work from the office, from home, or a hybrid, giving them more control over family and personal goals, with virtual interviews and onboarding as part of being distributed-first and hiring globally. Trust Engineering is Atlassian’s centralized software engineering team within the Trust organization, delivering platforms and services for Security, Privacy, Product Abuse, and Governance, Risk, and Compliance to build customer trust and accelerate Atlassian products, including AI/ML capabilities. You’ll form a new team of engineers dedicated to building and scaling AI/ML platforms and solutions that underpin Atlassian’s security, privacy, anti-abuse, and compliance posture, while Trust Engineering acts as a platform and enablement team partnering with Security, Privacy, Product Abuse, and GRC and leading AI safety for enterprise environments. What you’ll do includes leading AI/ML strategy for Trust, architecting and scaling ML platforms, championing AI safety and responsible AI, collaborating across product, engineering, security, and analytics teams, mentoring engineers, pursuing innovation and research, enabling other teams with reusable ML services, and ensuring platform reliability and security. Your background requires 12+ years in ML/data science/AI with production-grade experience, a degree (BS/MS/PhD) in a related field or equivalent, strong coding in Python/Go/Java, familiarity with SQL/Spark and cloud environments, and experience in security/privacy/anti-abuse/GRC domains; plus optional experience in AI safety, privacy engineering, LLMs, or mentoring, and joining offers the chance to shape the future of AI/ML for trust at Atlassian through high-impact projects and collaboration with world-class engineers.

- Atlassian supports a distributed-first work model, allowing office, home, or hybrid arrangements, with virtual interviews and onboarding and hires in any country where the company has a legal entity. - Trust Engineering is Atlassian’s centralized software engineering team within the Trust organization, delivering platforms and services for Security, Privacy, Product Abuse, and Governance, Risk, and Compliance to build customer trust and advance AI/ML capabilities for Trust and Security. - You’ll form a new team of engineers dedicated to building and scaling AI/ML platforms and solutions that underpin Atlassian’s security, privacy, anti-abuse, and compliance posture, operating as a platform/enablement team and leading AI safety for enterprise environments. - What you’ll do includes leading AI/ML strategy for Trust, architecting scalable ML platforms, advancing AI safety and responsible AI, collaborating cross-functionally, mentoring engineers, staying at the forefront of AI research, building reusable ML services, and ensuring operational excellence of ML-powered Trust platforms. - On day one you should have a relevant advanced degree or equivalent, 12+ years in ML/data/AI with production-grade systems, strong coding in Python/Go/Java, experience with SQL/Spark and cloud environments, and domain experience in security/privacy/anti-abuse/compliance; plus optional background in AI safety or GRC-related areas; and joining Trust Engineering offers the chance to shape the future of AI/ML for security/privacy, work on high-impact projects, and collaborate with world-class engineers in an inclusive environment.

Atlassian supports flexible work locations and a distributed-first approach, with hiring in any country where they have a legal entity and virtual interviews and onboarding. Trust Engineering is Atlassian’s centralized software engineering team within Trust, delivering platforms and services for Security, Privacy, Product Abuse, and Governance, Risk, and Compliance to build customer trust and accelerate Atlassian products with AI/ML. The role involves forming a new team to build and scale AI/ML platforms and solutions that underpin Atlassian’s trust posture, partnering closely with Security, Privacy, Product Abuse, and GRC, and leading AI safety and responsible AI for enterprise environments. Responsibilities include leading AI/ML strategy, architecting scalable ML infrastructure, ensuring AI safety, driving cross-functional collaboration, mentoring engineers, fostering innovation, enabling platform reuse, and maintaining operational excellence of ML-powered Trust platforms. Candidates should have 12+ years of ML experience, a relevant advanced degree or equivalent, strong coding in Python/Go/Java, experience with SQL/Spark/cloud data environments, and domain experience in security/privacy/anti-abuse/GRC, with optional experience in AI safety, privacy, LLMs, and mentoring; joining offers the chance to shape the future of AI/ML for security, privacy, product abuse, and compliance at Atlassian in a mission-driven, inclusive environment.

Atlassian offers flexible work options (office, home, or a mix) and hires in any country with a legal entity. The Senior Manager, Event Technology leads the Event Technology team responsible for event websites, registration, attendee management, mobile and digital experiences for Atlassian's global events, focusing on innovation, security, and attendee experience. Responsibilities include defining the event technology strategy and roadmap, evaluating and optimizing the technology stack for registration, content management, mobile apps, onsite tech, lead retrieval, networking, and virtual/hybrid extensions. They also design and oversee data integrations across platforms and internal systems (e.g., Salesforce), manage resources to deliver quality work on time, and champion privacy and security with consent management, data retention, and rights flows. Additionally, they lead onsite technology operations, manage agencies and vendors and budget through contract negotiations, and proactively seek improvements and innovative solutions to drive efficiency and elevate event experiences.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity. The Senior Manager, Event Technology leads the Event Technology team to deliver seamless tech for Atlassian’s global events, including websites, registration, attendee management, mobile, and digital experiences. The role defines the event technology strategy and roadmap, selecting and optimizing stacks for registration, content/session management, mobile apps, onsite tech, lead retrieval, networking, and virtual/hybrid extensions. It involves integrating data across platforms and with internal systems (like Salesforce) while enforcing privacy and security controls such as consent management and data retention. Additional duties include managing onsite technology operations, contingency planning, and vendor/agency relationships and budgets, with an emphasis on innovation and cost efficiency to elevate attendee experiences.

Atlassian is seeking an experienced Manager to lead a team of Enterprise Account Managers responsible for retention and expansion of the largest enterprise customers across regions. The team handles a large global portfolio, driving revenue growth by maintaining high retention, proactively pursuing expansion opportunities, and leading upsell, upgrade, and cross-sell activities, while partnering with Global Sales to grow the total book of business and collaborating on strategic initiatives like white space analysis and account planning. The role requires a team player with strong leadership and humility in a culture that values openness, with flexibility to work in-office, from home, or hybrid, and hiring in any country where Atlassian has a legal entity. You will be accountable for team performance, revenue forecasting, prioritization across a complex ownership footprint, and cross-functional collaboration with Enterprise Sales leadership and other customer-facing teams, in addition to staffing, onboarding, and up-skilling the team and acting as the voice to escalate blockers. Finally, you will learn Atlassian’s GTM model, help build the next-generation enterprise business model globally, and own or collaborate on projects to improve practices, processes, and ways of work.

Atlassian seeks an experienced Manager to lead and motivate a team of Enterprise Account Managers focused on retention and expansion of their largest global customers. The team handles retention and expansion across over 300,000 customers, aiming to drive revenue growth across Atlassian’s full product portfolio through high retention, proactive expansion, and upsell/cross-sell throughout the customer lifecycle. Responsibilities include partnering with Global Sales to grow the Total Book of Business, collaborating on strategic opportunities (white space analysis, strategic account planning/mapping), and cross-functional work with Sales support teams, Services, Channel, and Customer Success. The role requires strong leadership with humility, acting as the voice for the team, removing blockers, and overseeing staffing, onboarding, and up-skilling; and working within Atlassian’s open, supportive culture with flexible work arrangements in any country with a legal entity. You will learn Atlassian’s GTM model and contribute to building the next-generation enterprise business model, owning or collaborating on efforts to improve processes and ways of work.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. - They’re seeking an experienced production leader to join the Creative Studio as Head of Creative Production, overseeing a team of Producers and Project Managers across film, digital, events, and outdoor projects to support global marketing and business goals. - The role requires building processes and playbooks, managing end-to-end productions across film, print, experiential, events, and digital, and cultivating strong relationships with internal teams and external partners and agencies. - Ideal candidates have industry-facing agency or client-side experience, a proven track record delivering productions on time and within budget, deep film production experience for broadcast and product-focused content, extensive vendor and licensing knowledge, and strong negotiating, estimating, scheduling, and project-management skills for ranges from 25k to 2.5M. - They thrive in a fast-paced, global environment with autonomy, are comfortable navigating ambiguity, and have a passion for storytelling that pushes creative boundaries, including experience with live action shoots, photography, activations, events, talent, and licensing.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity, giving employees more control over family and personal goals. They are seeking an experienced production veteran to join the Creative Studio as Head of Creative Production, leading a team of Producers and Project Managers across film, digital, events, and outdoor projects to support global marketing and business goals. The role involves building production processes and playbooks, managing cross-disciplinary productions, and maintaining strong relationships with internal teams (Creative, Marketing, PMM, Procurement, Legal, Events) and external partners to ensure timely, high-quality work. Candidates must have extensive production leadership experience, expert budgeting and negotiation skills from 25k to 2.5M, a deep network of vendors and production houses, knowledge of business affairs and legal issues in advertising, and a portfolio spanning live action, photography, digital, activations, and events. The position requires strong leadership, autonomy in a fast-paced global environment, comfort navigating ambiguity, and a passion for storytelling and pushing creative boundaries.

Atlassian is transforming software development globally, counting NASA, Nike, Pixar, and Tesla among its customers, and this Account Executive role in Japan will help the largest accounts scale their Atlassian investments. The role involves building and implementing a sales strategy to improve adoption of select products and services, while acting as a promoter for customers by sharing experiences with product and engineering teams and optimizing the customer experience, in close coordination with Channel Partners, Product Specialists, and Marketing. Account Executives are consultative, solution-oriented, and strategic, capable of thinking ahead and prioritizing resources to meet customer needs, with a solid understanding of the Enterprise Sales process and how to apply it to Atlassian's model. Responsibilities include developing and executing named account or territory plans to maximize expansion opportunities and ensure high customer success, while maintaining full account ownership and coordinating with Solution Engineers, Inside Sales, Channel, and Renewal teams. The role also requires strong collaboration with Advisory Service to understand technical initiatives and business outcomes, partnering with the Renewals Team to maximize customer health and retention, and building productive peer relationships with internal Atlassian stakeholders, solution partners, and key customers.

Atlassian is transforming software development and serves major customers worldwide, including NASA, Nike, Pixar, and Tesla, with over 236,000 customers; the Account Executive role in Japan focuses on helping the largest accounts scale their Atlassian investments. This position uses account-based selling to build and implement sales strategies that improve adoption of select products and services among Atlassian's Enterprise customers, while also acting as a promoter by sharing customer experiences with product and engineering teams to improve the customer experience. The role works in close coordination with Channel Partners, Product Specialists, and Marketing, and requires consultative, solution-oriented, creative thinking, plus strategic prioritization to align with the Atlassian sales model. Key responsibilities include developing named account or territory plans to maximize expansion and customer success, maintaining full account ownership, and collaborating with Solution Engineers, Inside Sales, Channel, and Renewal teams to execute sales strategies for designated territory or named accounts; there is strong interlock with Advisory Services to understand technical initiatives and business outcomes. It also involves teaming with the Renewals Team to maximize customer health and retention and building productive peer-to-peer relationships with internal Atlassian stakeholders, Solution Partners, and key customers.

Atlassian supports flexible work locations (office, home, or hybrid) and hires globally in any country where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The role is a Sales Development Representative in APAC, reporting to the APAC Regional Sales Development Manager, focused on outbound prospecting and building sales pipeline with Account Executives and Marketing. Responsibilities include qualifying leads, conducting cold calls and emails, collaborating across sales, marketing, partner, and operations teams, overcoming objections, and clearly articulating the product’s value proposition, using tools like Salesforce, Gong, Outreach, and LinkedIn Navigator. About you: SDR experience isn’t required but 1+ year is preferred; the company welcomes those starting or transitioning into software sales, with regional focus on ANZ, India, Greater China, Korea, or Southeast Asia. Desired traits include accountability, clear communication, ongoing learning, integrity, adaptability to change, customer-centric impact, and creativity in achieving your goals.

Atlassian offers flexible, distributed work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of being distributed-first. The role is for Sales Development Representatives in the APAC region, who partner with Sales and Success Account Teams to build pipeline and ensure a delightful customer experience, reporting to the APAC Regional Sales Development Manager. You’ll own outbound prospecting, qualify leads, conduct cold outreach, collaborate on lead-generation strategies, navigate objections, articulate the product’s value, and build a pipeline with Account Executives and Marketing, using tools like Salesforce, Gong, Outreach, and LinkedIn Navigator. Experience isn’t required for prior SDR roles, and the company welcomes those starting a sales career or transitioning into software sales, with a regional focus on ANZ, India, Greater China, Korea, and Southeast Asia and required language skills. Key attributes include high accountability, clear and curious communication, ongoing learning with feedback, integrity, adaptability to change, impact-oriented mindset, and a creative approach to achieving goals.

Zendesk is hiring a Dutch-speaking Business Development Representative to join its Sales Development team for EMEA, responsible for driving new business and building the regional sales pipeline through outbound prospecting across startups, unicorns, and enterprise customers. You will be a key team member, managing a busy outbound pipeline, delivering top-class customer experience, and creatively sourcing new leads using social tools while expanding into new groups and divisions of existing Zendesk customers. Requirements include at least 6 months in a sales-related role, a passion for consultative SaaS sales, strong written and verbal communication, fluency in English and Dutch (Danish/Swedish a plus), and a preference for a Bachelor's/Master's degree; hybrid work must include time in the Lisbon office. Zendesk offers a supportive culture with leadership focused on development, a buddy system, and flexible work options with equipment and tools provided to succeed in either location, reflecting its hybrid approach and emphasis on DEI. The company may use AI in screening applicants; Zendesk is an equal opportunity employer committed to diversity and inclusion, offering accommodations on request via peopleandplaces@zendesk.com.

The role is Hybrid Data Engineer (Analytics & Data Platform) at Refined, based in Malmö, focused on building a trustworthy analytics data foundation to support decisions across Customer Success, Marketing, and Product. You’ll own and evolve Refined’s analytics data platform, design core business data models, translate business needs into technical solutions, ensure data quality and documentation, and enable self-serve analytics across the company. Requirements include 2–3 years of SQL experience (dbt preferred), 1–2 years of data modeling (dimensional), 1–2 years of Python development, and strong communication; nice-to-haves include coaching others, familiarity with GCP/BigQuery/dlt/Looker, and infrastructure-as-code with Pulumi. Success milestones expect you to understand the platform and key stakeholders within 3 months, deliver or improve core models and practices by 6 months, and become a trusted owner shaping standards and a data-informed culture by 12 months. Refined is a 70-person SaaS company built around autonomy and impact, offering pensions, health insurance, vacation and parental leave, flexible hybrid work, learning and wellness budgets, offsites, transparent salary bands of 45,000–58,000 SEK, and a rolling recruitment process with applications encouraged ahead of the January 11, 2026 deadline.

Atlassian supports flexible work arrangements and can hire globally, with virtual interviews and onboarding as part of a distributed-first approach, but this role requires you to be located in the Pacific Standard Timezone. The Senior CSS Learning Enablement Partner will strengthen the Customer Support & Success organization by designing and scaling programs that enhance talent capabilities, operational excellence, and knowledge continuity. You will partner with CSS leadership and other business stakeholders to translate organizational needs into practical enablement solutions, manage knowledge queues and the knowledge base, and identify skills gaps to address through training, resources, or improved knowledge sharing. You’ll build and scale frameworks, playbooks, and processes for consistent onboarding, development, and support across CSS, and establish success metrics to track adoption and impact. The ideal candidate has a strong background in learning and development and program management and can simplify complex processes into clear, actionable practices to help CSS teams adapt quickly and meet evolving customer needs.

At Atlassian, you can work from the office, home, or a combination, and the company hires globally wherever there’s a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The role requires you to be located in the Pacific Standard Timezone to help the CSS team collaborate effectively. You will serve as the Senior CSS Learning Enablement Partner to strengthen Customer Support & Success by building and scaling programs that enhance talent capabilities, operational excellence, and knowledge continuity. You’ll partner with CSS leadership and other stakeholders to design enablement programs, assess skills gaps, create targeted training and resources, and manage the CSS knowledge base and knowledge queues for efficient BAU operations. You’ll establish success metrics, track adoption and impact, and communicate progress and outcomes; the ideal candidate has a strong background in learning and development and program management and can translate complex processes into clear, actionable practices.

Atlassian offers flexible work options (office, home, or hybrid) with virtual interviews and onboarding, and this is a remote position, but you must be located in the Pacific Standard Timezone to support team collaboration. The role is Principal Program Manager (Technical) on the CTO Strategic Initiatives team, responsible for leading high-impact Engineering Recruiting efforts with a data-driven approach to improve recruiting workflows, the funnel, and hire quality. You will manage complex, end-to-end strategic programs, dive deep to understand the engineering landscape, and build relationships with senior leadership and cross-functional teams. You will own the execution of strategic programs focused on delivering the best outcomes for customers, represent Engineering in partnering with recruiting to align and implement strategic hiring initiatives, and develop and maintain program plans including resources, schedules, dependencies, and risks. You will establish KPIs and metrics, translate business requirements into technical specifications and tooling requirements for the internal interview management tool, provide regular updates to stakeholders and executives, and implement initiatives to enhance Atlassian Engineering’s brand to attract top talent.

Atlassian supports flexible work arrangements—office, home, or hybrid—with virtual interviews and onboarding, and this is a remote position that requires you to be located in the Pacific Standard Timezone. The role is Principal Program Manager (Technical) on the CTO Strategic Initiatives team, leading high-impact Engineering Recruiting efforts with a data-driven approach to evolve recruiting workflows and tooling, optimize the recruiting funnel, and increase quality of hires. You will manage complex, end-to-end strategic programs, deeply understand the engineering landscape, and build strong relationships with senior leadership and cross-functional teams. Responsibilities include executing strategic programs focused on the best outcomes for customers, aligning with the recruiting team to implement strategic hiring initiatives, developing and maintaining program plans, identifying resources, balancing schedules, and establishing KPIs and metrics. You will translate business requirements into technical specifications and tooling requirements for the internal interview management tool, provide regular updates to stakeholders and executives, and implement initiatives to enhance Atlassian's engineering brand to attract top talent.

Atlassian offers flexible work arrangements (office, home, or hybrid) with a distributed-first approach, hiring in any country with a legal entity and conducting interviews and onboarding virtually. The role is remote, but located in the Pacific Standard Timezone. You will join the CTO Strategic Initiatives team as a Principal Program Manager (Technical), leading high-impact Engineering Recruiting efforts with a data-driven approach to improve recruiting workflows, funnel, and quality of hires. You will manage complex, end-to-end strategic programs, dive into the engineering landscape, and build relationships with senior leadership and cross-functional teams. Responsibilities include owning strategic programs to drive customer outcomes, aligning with recruiting on hiring initiatives, developing program plans and KPIs, translating business requirements into technical specs for the internal interview tool, providing regular updates to stakeholders, and enhancing Atlassian Engineering brand to attract top talent.

Atlassian supports flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. This is a remote position, but it requires you to be located in the Pacific Standard Timezone to help teams collaborate effectively. The role is Principal Program Manager (Technical) on the CTO Strategic Initiatives team, focused on leading high-impact Engineering Recruiting efforts with a data-driven approach to improve workflows, the recruiting funnel, and quality of hires. You will manage complex, end-to-end strategic programs, dive into the engineering landscape, and build strong relationships with senior leadership and cross-functional teams. Core responsibilities include owning program execution for customer outcomes, partnering with recruiting to implement hiring initiatives, developing plans, managing resources and schedules, establishing KPIs, translating business requirements into technical specs for an internal interview management tool, delivering regular updates to stakeholders, and enhancing Atlassian Engineering's brand to attract top talent.

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 a distributed-first approach. The Marketing team brings Atlassian’s story to life to drive demand and awareness of Atlassian’s mission to unleash the potential of every team. The Paid Marketing Team executes campaigns to promote products, attract new audiences, and add new customers, working cross-functionally with Product, Analytics, Design, and Engineering. Atlassian is seeking a Paid Search Manager to accelerate paid search growth, requiring a data-first, hands-on approach to launching, managing, and scaling campaigns while focusing on ROI and performance. Responsibilities include analyzing campaign data, ongoing optimization and testing, managing a multi-million dollar SEM budget, collaborating with external agencies, and handling trademark whitelisting requests and cross-functional project submissions.

- Atlassian supports flexible, distributed work options—office, remote, or hybrid—hiring globally with virtual interviews as part of being distributed-first. - The Marketing organization brings Atlassian’s story to life to drive demand and awareness, and the Paid Marketing Team acts as a cross-functional growth engine across Product, Analytics, Design, and Engineering. - Atlassian is seeking a Paid Search Manager to accelerate the growth of the paid search channel, working hands-on and using data to inform decisions. - Responsibilities include developing and implementing paid search strategies, analyzing and reporting campaign performance, testing and optimizing keywords, bidding, and ad copy, and managing a multi-million-dollar SEM budget with external agencies. - Additional duties involve processing trademark whitelisting requests for partnerships, submitting competitor trademark violations when needed, and managing cross-functional project requests.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. You’ll join a globally distributed SE team that works with Global 2000 companies and collaborates with sales to deliver an enterprise-grade experience. Atlassian is seeking a passionate Senior Solutions Engineer for Japan’s strategic accounts to help disrupt the Japanese market, leveraging pre-sales experience to help customers qualify and adopt the Atlassian suite. The role uses a discovery-driven, consultative approach to uncover customer challenges, champion new ways of working, and frame strategic direction to unlock value and outcomes for the enterprise. Key responsibilities include leading technical sales engagements with the enterprise sales team, delivering compelling demos, contributing to thought leadership and the community, and supporting channel partners with technical expertise and presales guidance.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. You’ll join a globally distributed Solutions Engineering team that collaborates with Global 2000 companies and works with sales to deliver an Enterprise-grade customer experience. Atlassian is seeking a Senior Solutions Engineer for Japan to focus on strategic accounts, helping uncover customer needs and qualify and adopt the Atlassian suite for business solutions. The role emphasizes a discovery-driven, consultative approach to uncover challenges, guide teams toward better practices, and demonstrate thought leadership to frame strategic direction and unlock additional enterprise value. Responsibilities include leading customer technical sales engagements, delivering compelling demos, contributing to thought leadership and community content, and supporting channel partners with technical expertise to help reach new customers.

- Atlassian offers flexible work locations—office, home, or a mix—to help employees balance family, personal goals, and other priorities. - The company hires people in any country where it has a legal entity. - You will join the Performance Marketing team, which uses data-driven marketing strategies to drive growth for the Atlassian portfolio and collaborates closely to deliver measurable business impact from ad campaigns. - The Performance Marketing Operations Analyst role involves overseeing ad campaign implementation and performance, executing strategies across digital platforms, applying advanced targeting, and troubleshooting platform and data issues to ensure compliance with industry standards. - It also includes researching third-party API documentation, reporting outcomes to stakeholders to demonstrate value, defining actionable milestones for the ad tech roadmap from ambiguous questions, communicating technical problems clearly for data-informed decisions, and staying current with new technologies, trends, and regulatory changes in digital advertising.

Atlassian offers flexible work options—office, home, or hybrid—to give employees control over family, personal goals, and other priorities. The company hires people in any country where it has a legal entity. You will join the Performance Marketing team, a data-driven group that drives growth for the Atlassian portfolio and collaborates to ensure ad campaigns deliver measurable business impact. The Performance Marketing Operations Analyst role involves overseeing ad campaign implementation and performance, executing strategies across digital platforms, applying advanced targeting, troubleshooting issues, and ensuring compliance with industry standards. You will also research third-party API documentation, report outcomes to stakeholders, develop actionable milestones for the ad tech roadmap, communicate technical problems clearly, and stay current with new technologies, trends, and regulatory changes in digital advertising.