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GitKraken’s DevEx platform serves over 40 million developers and 100,000 organizations worldwide, combining built-in AI with powerful workflow orchestration and seamless integrations across desktop, CLI, IDE, web, and mobile. They’re seeking a strategic, execution-focused Director of Sales to lead the next growth phase, driving the Content-Led Sales Assist model as a high-impact player-coach who maintains a personal sales territory and leverages HubSpot and SEI selling expertise to expand in Mid-Market and Enterprise. Key responsibilities include personal revenue contribution, deep technical acumen in developer workflows and SEI products, owning HubSpot CRM operations, enforcing lead-response SLAs, mentoring AEs/SDRs, and refining GTM strategy with accurate forecasting. Requirements include 7+ years of progressive B2B SaaS sales experience with at least 2 years in sales leadership, SEI/engineering analytics selling background, success selling to VP/CTO-level engineering leaders, and strong HubSpot proficiency for leadership and pipeline management. The role offers competitive compensation with performance-based raises, a comprehensive benefits package, flexible time off, parental and pet-related perks, 401(k) with company matching, and remote-US eligibility with Scottsdale, AZ as headquarters, alongside a firm commitment to diversity and equal opportunity.

At Atlassian, employees can work in an office, from home, or in a hybrid setup, and the company hires in any country where it has a legal entity, giving people more control over family and personal priorities. Atlassian's Accessibility Team is building an Accessibility Center of Excellence to raise disability awareness, provide training and guidance, and promote accessibility best practices across products and teams. The Senior Technical Program Manager - Accessibility will lead cross-functional programs to ensure Atlassian’s products and services meet or exceed accessibility standards, partnering with engineering, design, product, and compliance. Key duties include driving accessibility programs, governance and compliance, stakeholder collaboration, roadmapping, dependency and risk management, and reporting to leadership and external stakeholders. The role also focuses on education, advocacy, and customer engagement to train teams, foster inclusion, and address accessibility issues with customers and the disability community.

Atlassian offers flexible work options—office, home, or a combination—while hiring globally in countries where they have a legal entity to support employees’ personal priorities. Atlassian’s Accessibility Team is building a Center of Excellence to raise disability awareness, provide training, and drive accessibility best practices across products. The Senior Technical Program Manager - Accessibility will lead cross-functional programs to ensure products meet or exceed accessibility standards by partnering with engineering, design, product, and compliance teams. Responsibilities include strategy and execution of accessibility programs, governance and compliance tracking, roadmapping, risk and program management, reporting, education and advocacy, and customer engagement. The role aims to foster a culture of inclusion and continuous improvement in accessibility across Atlassian.

Atlassian supports flexible work locations (office, home, or a mix) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first culture. The company is recruiting a Learning Program Manager to design and deliver talent development initiatives that align with business goals and deliver measurable value, starting with the Engineering team and expanding later. The role involves partnering with business leaders to identify critical talent gaps, then architect end-to-end programs—from strategy and design to facilitation and internal hub management. The ideal candidate excels at business partnership, strategic thinking, adult learning design, and program management, with a passion for developing talent and driving organizational impact. Responsibilities include identifying needs with SMEs, delivering diverse formats (workshops, e-learning, coaching), facilitating sessions, measuring effectiveness, co-creating innovative learning experiences, and building strong relationships with managers and leaders.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. They are seeking a Learning Program Manager to design and deliver talent development solutions that align with organizational goals and drive measurable business value, initially focusing on engineering and early-career talent. The role is end-to-end, involving stakeholder management, strategy development, program design, facilitation, and internal hub management, with a partnership focus to identify critical talent gaps. Responsibilities include collaborating with subject matter experts to identify needs, creating programs across workshops, e-learning, and coaching, delivering engaging sessions, and using data to measure and optimize effectiveness. The ideal candidate combines strong business partnership, strategic thinking, and adult learning design skills with project management and facilitation experience, and a talent for building trusted relationships with managers and leaders to drive impact.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally, with interviews and onboarding conducted virtually as part of being a distributed-first company. You would join the Data Center Revenue team within the Commercial FP&A function, focused on leading strategic initiatives, optimizing revenue from data center operations, and supporting the Cloud migration journey. Responsibilities include running Data Center revenue forecasting and reporting aligned with business objectives, owning close/forecast/planning deliverables for the Data Center business and Cloud migration initiatives, collaborating cross-functionally on migration strategies, and delivering data-driven narratives for monthly and quarterly reviews, while identifying risks and opportunities and coordinating with data science and analytics teams. Qualifications include a minimum of 5 years in finance (FP&A in tech, consulting, or banking), strong financial modeling skills, ability to tell compelling stories with data, experience supporting senior business partners, and strong critical thinking, collaboration, and adaptability in a dynamic environment. Preferred qualifications include tech/SaaS experience, cross-functional collaboration, topline forecasting in tech, experience with Sales and Revenue Accounting, familiarity with planning and BI tools (e.g., Anaplan, SQL), and a degree in Economics, Mathematics, Finance, or a related field.

Atlassian supports flexible work options—office, remote, or hybrid—and conducts virtual interviews and onboarding, hiring in any country where they have a legal entity. The role is in the Data Center Revenue team within Commercial FP&A, focusing on strategic initiatives and revenue optimization from data center operations and supporting the Cloud migration journey. Responsibilities include running Data Center revenue forecasting and reporting aligned to business objectives, owning close/forecast/planning deliverables for Data Center and Cloud migration, and collaborating cross-functionally to develop migration strategies and data-driven narratives for monthly and quarterly reviews. The role also involves partnering with data science and analytics teams to ensure our infrastructure reflects transactions in reporting and analytical apps, and helping communicate the financial narrative to the board and executives. Minimum qualifications include at least 5 years in finance with FP&A in tech/consulting/banking, strong financial modeling and data storytelling, and experience working with senior partners, while preferred qualifications include experience in tech/SaaS, cross-functional collaboration, planning tools and BI tools like Anaplan/SQL, and a degree in Economics/Mathematics/Finance.

At Atlassian, you can work from an office, from home, or a combination of the two, and the company hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. The role sits in the Data Center Revenue team within Commercial FP&A, focusing on leading strategic initiatives and optimizing revenue from data center operations while assisting the Cloud migration journey. Responsibilities include forecasting and reporting Data Center revenue, owning close/forecast/planning deliverables, collaborating cross-functionally on migration strategies, and delivering data-driven narratives for monthly and quarterly reviews, plus partnering with data science to ensure accurate reflection of transactions and communicating the financial narrative to the board and executives. Qualifications require at least 5 years in finance (FP&A in tech, consulting, or banking), strong financial modeling, experience storytelling with data, ability to support senior partners, and strong critical thinking, organizational, interpersonal, communication, and collaboration skills in a dynamic environment. Preferred qualifications include tech/SaaS experience, cross-functional collaboration, topline forecasting in tech, experience with Sales and Revenue Accounting, familiarity with planning tools and BI tools (e.g., Anaplan, SQL), and a degree in Economics, Mathematics, Finance, or a related field.

Atlassian lets employees work anywhere—office, home, or a hybrid arrangement—and hires in any country where the company has a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. You will join the Data Center Revenue team within the Commercial FP&A function, focused on leading strategic initiatives and optimizing revenue from data center operations while supporting the Cloud migration journey. Responsibilities include forecasting and reporting Data Center revenue, owning close, forecasting, and planning deliverables for the Data Center business and Cloud migration initiatives, collaborating with cross-functional teams on migration strategies, and delivering data-informed narratives for monthly and quarterly reviews, plus partnering with data science to ensure accurate reflection of transactions and communicating the financial story to the board and executives. Minimum qualifications: at least 5 years in finance (FP&A in tech, consulting, or banking), strong financial modeling, ability to tell compelling stories with data, experience supporting senior business partners, and excellent critical thinking, organizational, interpersonal, and communication skills in a dynamic environment. Preferred qualifications include experience in Tech/SaaS, cross-functional collaboration, topline forecasting in tech, familiarity with Sales and Revenue Accounting, experience with planning tools, finance systems, and BI tools (e.g., Anaplan, SQL), and holding a degree in Economics, Mathematics, Finance, or a related field.

Atlassians can choose where they work—office, home, or a combination—giving them control to support family, personal goals, and other priorities. Atlassian hires people in any country where they have a legal entity. The role drives product and global monetization initiatives, including packaging, pricing, editioning, commercialization, and long-term business strategy to power product revenue growth. It involves partnering with the executive team and cross-functional stakeholders to identify monetization opportunities, conduct product, customer, competitive, and financial research, and develop insights and pricing recommendations. It also requires reviewing, formulating, and presenting critical packaging and pricing recommendations to executives and driving discussions across product, GTM, and other functions to align on the long-term monetization strategy.

Atlassians can choose where they work—office, home, or a combination—to better support family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The role drives global monetization initiatives, including packaging, pricing, editioning, commercialization, and the long-term business strategy to grow product revenue. It requires partnering with the executive team and cross-functional stakeholders to identify monetization opportunities, conduct research, develop insights, and present packaging and pricing recommendations. It also involves coordinating discussions across product, go-to-market, and other functions to align on Atlassian’s long-term monetization strategy.

Atlassian offers flexible work locations—office, remote, or a mix—to help employees balance family and personal goals. The company can hire talent in any country where it has a legal entity. The role focuses on driving product and global monetization efforts, including packaging, pricing, editioning, commercialization, and long-term revenue strategy. It emphasizes collaborating with the executive team and cross-functional partners across analytics, finance, product, marketing, and sales to identify monetization opportunities and drive change. Responsibilities include conducting product, customer, competitive, and financial research, developing insights, making packaging and pricing recommendations, presenting them to executives, and aligning on the long-term monetization strategy across product, GTM, and other functions.

Atlassians can choose where they work—office, from home, or a mix—while the company hires in any country where it has a legal entity. The opportunity focuses on empowering customers to learn, connect, and thrive in the Atlassian ecosystem by transforming learning and community experiences into an intelligent, unified, scalable platform. The Principal Technical Program Manager will lead end-to-end, cross-company initiatives to shape the next-generation Atlassian Learning Platform and Community ecosystem, from design to launch and ongoing improvement. Responsibilities include architecting scalable systems with engineering and design partners to deliver personalized experiences at global scale, and establishing metrics to drive improvements in engagement, adoption, and retention. The role requires broad collaboration across Product, Engineering, Customer Success, Marketing, and Data Science, a strong customer-centric focus, and thought leadership on AI-driven learning experiences and scalable, self-service community engagement.

Atlassian supports flexible work arrangements and hires globally where it has a legal entity. The Opportunity focuses on empowering customers to learn, connect, and thrive within the Atlassian ecosystem, with a Principal Technical Program Manager leading the transformation of learning and community experiences into an intelligent, unified, scalable platform that connects millions to personalized learning paths, AI-powered knowledge discovery, and peer-to-peer engagement. This is a high-impact role at the intersection of product, platform, and customer experience, driving Atlassian’s mission to help every team unleash their potential. Key responsibilities include taking end-to-end ownership of cross-company initiatives to shape the next-generation Learning Platform and Community ecosystem, architecting scalable systems, and driving measurable impact with metrics for engagement, learning adoption, and satisfaction while addressing friction in learning journeys. The role requires broad collaboration across Product, Engineering, Customer Success, Marketing, and Data Science, a customer-centric focus, and thought leadership in AI-driven learning experiences and scalable community engagement strategies.

Atlassian supports flexible work locations and hires globally wherever they have a legal entity. The opportunity emphasizes empowering customers in the Atlassian ecosystem as a top strategic priority, with a Principal Technical Program Manager in the Community and Learning organization shaping the future of how customers learn, connect, and adopt Atlassian’s products. The role will lead the transformation of learning and community experiences into an intelligent, unified, scalable platform that connects millions of users to personalized learning paths, AI-powered knowledge discovery, and peer-to-peer engagement. Responsibilities include end-to-end ownership of cross-company initiatives to design, launch, and continuously improve the next-generation learning platform and community ecosystem, and architect scalable systems for global scale. You’ll drive measurable impact with defined metrics, collaborate across Product, Engineering, Customer Success, Marketing, and Data Science, champion the customer with frictionless, personalized touchpoints, and be a thought leader in AI-driven learning experiences and scalable community engagement.

We are seeking a Principal Product Manager to lead the Confluence Onboarding experience, focusing on activating new customers from the Land (Acquisition) and Cross-sell motions and ensuring new admins discover value quickly and stay engaged. You will own the strategy and roadmap for helping new admins successfully adopt Confluence—understanding who they are, guiding them into the right parts of the product, and enabling them to realize value during their crucial first weeks. This work directly impacts Atlassian’s growth by ensuring new customers not only sign up, but also activate and expand. Working at Atlassian, employees can choose where they work—office, home, or a combination—and Atlassians can be hired in any country where we have a legal entity. Responsibilities include defining onboarding strategy across acquisition and cross-sell journeys, deeply understanding jobs-to-be-done for both technical and business admin users, shaping the first-time admin experience, partnering with Design and Research, collaborating with Marketing, Core Product, and Growth, and working with Engineering and Data Science to define metrics, run experiments, and drive alignment across Atlassian to deliver a cohesive, value-driven admin journey.

Atlassian is seeking a Principal Product Manager to lead the Confluence onboarding experience, focusing on activating new customers from acquisition and cross-sell motions and shaping how new admins first experience Confluence. The role owns the strategy and roadmap to help new admins adopt Confluence—understanding who they are, guiding them to the right parts of the product, and enabling value realization in their crucial first weeks. This work directly impacts Atlassian’s growth by ensuring new customers sign up, activate, and expand. Atlassian offers flexible work options and can hire in any country where it has a legal entity. Responsibilities include defining onboarding strategy across acquisition and cross-sell, understanding jobs-to-be-done for technical and business admins, shaping the first-time admin experience, partnering with Design and Research, collaborating with Marketing, Core Product, and Growth, working with Engineering and Data Science to define metrics and run experiments, and driving alignment across Atlassian to deliver a cohesive, value-driven admin journey.

Atlassian is seeking a Principal Product Manager to lead the Confluence Onboarding experience, focusing on activating new customers from acquisition and cross-sell motions. The role owns the strategy and roadmap to help new technical and business admins adopt Confluence, guiding them to the right parts of the product and delivering value in their first weeks. This work directly supports growth by ensuring new customers sign up, activate, and expand their usage. Atlassian offers flexible work options and hires in any country with a legal entity. Responsibilities include defining onboarding strategy, understanding admins' jobs-to-be-done, shaping the first-time experience, partnering with Design and Research, collaborating with Marketing/Core Product/Growth, and working with Engineering/Data Science to measure success and drive cross-team alignment.

The role is a Principal Product Manager to lead the Confluence Onboarding experience, focusing on activating new customers from Acquisition and Cross-sell motions, and owning the strategy and roadmap to help new admins realize value in their first weeks. It aims to shape the first-time admin experience for both technical and business user admins by guiding them to the right parts of the product and removing friction. This work directly drives Atlassian’s growth by ensuring new customers not only sign up but also activate and expand. Atlassian supports flexible work arrangements and can hire in any country where there is a legal entity. Responsibilities include defining onboarding strategy across acquisition and cross-sell journeys, understanding jobs-to-be-done for admins, collaborating with Design, Research, Marketing, Core Product, and Growth, and working with Engineering and Data Science to define metrics, run experiments, and measure onboarding success to deliver a cohesive admin journey.

Atlassian is hiring Lead Principal Technical Program Manager for Foundations, the most senior IC TPM role, spanning foundational parts of the tech stack including Compute, Network, Data Platform, Identity, Security, and Reliability to drive critical company-wide initiatives. The role requires innovative thinking, collaborative problem-solving, and the ability to influence key technical decisions across the company while working with world-class engineering teams and shaping the TPM craft as a senior member. Primary responsibilities include analyzing the current state of Foundations, defining the long-term strategy and roadmap, translating strategy into technical requirements, streamlining execution, and evangelizing platform adoption across executives and product teams. Atlassian offers flexible work options (office, home, or hybrid), hires in any country with a legal entity, and conducts virtual interviews and onboarding as part of its distributed-first approach. A core emphasis is ownership: proactively identifying inhibitors, issues, or opportunities and addressing them directly or via the right owners, driving complex cross-divisional projects with broad scope.

We’re hiring the Lead Principal Technical Program Manager for Foundations, the most senior Individual Contributor TPM role at Atlassian, covering foundational parts of the tech stack (Compute, Network, Data Platform, Identity, Security, Reliability, to name a few). The role provides leadership to transform and drive some of the most critical company-wide initiatives, requiring innovative thinking, collaborative problem-solving, and a passion for cross-functional work. You will influence some of the most critical technical decisions, work with world-class engineering teams, and shape the TPM craft as it matures, demonstrating strong technical depth and the ability to drive product strategy with stakeholders across numerous crafts and product areas. Atlassians can work in an office, from home, or a combination of the two, and the company hires in any country with a legal entity; interviews and onboarding are conducted virtually as part of a distributed-first approach. You will analyze the current state of Foundations, business objectives, customer needs, product adoption inhibitors, and industry trends to define the long-term strategy and roadmap, translate this strategy into technical requirements and solutions, streamline execution, evangelize platform adoption, and own the outcomes, including driving cross-divisional, complex projects and dependencies.

The role blends accounting execution, systems thinking, and innovation through automation and AI, suited for someone curious about how things work, eager to learn, and motivated to continuously improve how the team operates, with room for experimentation and humor. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where there is a legal entity. Responsibilities include partnering with the core GL team to drive process improvement, conduct structured testing and documentation, perform user acceptance testing, and validate data during automation rollouts while exploring emerging AI tools to enhance accounting workflows. You will review spreadsheets and reconciliations to identify AI-driven improvements, pilot scalable use cases with GL and FinTech, and build trackers, documentation, and user guides to support new systems and controls. Additional duties involve supporting monthly close activities (journal entries, reconciliations, flux and variance analyses, and control activities) and collaborating with GL and Engineering to identify inefficiencies and translate accounting logic into system behavior for measurable impact.

The role blends accounting execution, systems thinking, and automation/AI, ideal for someone eager to learn, curious about how things work, and willing to experiment. At Atlassian, employees can work from office, home, or a mix, and they can hire in any country where Atlassian has a legal entity. Key responsibilities include partnering with the core GL team on process improvement and automation through testing, documentation, validation, requirement gathering, UAT, and data reconciliation during rollouts. The role also involves exploring AI tools to enhance accounting processes, reviewing spreadsheets for AI opportunities, building trackers and user guides, and supporting monthly close with journal entries, reconciliations, and variance analysis. Finally, you’ll collaborate with GL and Engineering to identify inefficiencies and translate accounting logic into system behavior to drive measurable improvements.

The role blends accounting execution with systems thinking and innovation through automation and AI, ideal for someone curious about how things work and eager to continuously improve how the team operates, with a bit of experimentation and humor. Atlassian offers flexible work options—office, home, or a hybrid arrangement—and can hire in any country where it has a legal entity. You’ll partner with the core GL team to drive process improvement and automation through structured testing, documentation, validation, requirement gathering, user acceptance testing, and data reconciliation during rollouts and post-implementation reviews. You will explore emerging AI tools to enhance accounting processes, review existing spreadsheets for AI-driven improvements, and pilot scalable use cases with the GL and FinTech teams while building trackers and user guides. Responsibilities also include monthly close activities such as preparing and posting journal entries, performing reconciliations, conducting flux and variance analyses, supporting control activities, and translating accounting logic into system behavior to create measurable impact.

The role blends accounting execution, systems thinking, and automation/AI, ideal for curious, learning-oriented individuals who enjoy tinkering and experimentation. Atlassian offers flexible work location and hires in any country with a legal entity, supporting work-life balance and personal goals. The position entails partnering with the GL team to drive process improvement, testing, documentation, UAT, data reconciliation, and automation rollouts, plus applying emerging AI tools to improve accounting workflows. It includes reviewing spreadsheets, piloting scalable GL/Finance use cases, building trackers and user guides, and supporting monthly close with journal entries, reconciliations, and control activities. The role also involves collaborating with GL and Engineering to identify inefficiencies, learn how accounting logic translates to system behavior, and implement measurable improvements.

This role blends accounting execution, systems thinking, and innovation through automation and AI, appealing to someone who’s comfortable crunching numbers, tinkering with formulas, and testing new automations—and who’s curious, eager to learn, and open to experimentation and humor. Atlassian offers flexible work locations (office, home, or hybrid) and can hire globally where we have a legal entity, giving employees more control over family and personal priorities. Responsibilities include partnering with the core GL team on process improvement and automation through testing, documentation, and validation; contributing to requirement gathering, UAT, and data reconciliation during automation rollouts and post-implementation reviews; and exploring AI tools to improve accounting workflows while validating improvements. You’ll pilot scalable use cases with the GL and FinTech teams, and build trackers, documentation, and user guides to support new systems, control updates, and workflow enhancements. You’ll also support monthly close activities—preparing journal entries, performing reconciliations, conducting flux and variance analyses, and assisting with controls—while collaborating with GL and Engineering to identify inefficiencies and translate accounting logic into measurable system impact.

This role blends accounting execution, systems thinking, and innovation through automation and AI, ideal for someone curious, eager to learn, and comfortable experimenting with new ideas. Atlassian offers flexible work options—office, home, or hybrid—and hires in any country with a legal entity to support personal priorities. You’ll partner with the core GL team to drive process improvement and automation initiatives through structured testing, documentation, UAT, and validating data during rollouts and post-implementation reviews, while exploring emerging AI tools to enhance accounting workflows. You’ll review existing spreadsheets and reconciliations, pilot scalable GL/Finance use cases, build trackers and user guides, and support monthly close with journal entries, reconciliations, flux and variance analyses, and control activities. You’ll collaborate with GL and Engineering to identify inefficiencies, translate accounting logic into system behavior, and implement scalable solutions with measurable impact.

This role combines accounting execution, systems thinking, and innovation through automation and AI, seeking someone eager to learn, curious about how things work, and motivated to continuously improve team operations. Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity, so employees can balance personal goals and priorities. You will partner with the core GL team to support process improvement and automation, including structured testing, documentation, UAT, data reconciliation, and post-implementation validation, while exploring AI tools to enhance accounting workflows. The role also involves reviewing spreadsheets for AI-driven improvements, piloting scalable use cases with GL and FinTech teams, and building trackers, documentation, and user guides for new systems and controls. Core responsibilities include monthly close activities such as journal entries, reconciliations, flux and variance analyses, and control work, plus cross-team collaboration with GL and Engineering to identify inefficiencies and translate accounting logic into system behavior with measurable impact.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity, giving employees control over work-life balance. The Data Engineer role involves building highly reliable services to manage a multi-petabyte data lake in a fast-paced environment, turning vague requirements into solid solutions. It emphasizes solving challenging problems with creativity, as well as coding and testing. Responsibilities include collaborating with product managers, engineering, analytics, and business teams to build scalable data models, data extraction processes, and applications, and designing ETL pipelines into a central data warehouse. Additional duties include improving data quality, implementing data governance for security/privacy/compliance, adopting new technologies to enhance data processing, and coaching junior data engineers.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity. As a Data Engineer, you’ll build reliable services for a multi-petabyte data lake and transform vague requirements into solid solutions in a fast-paced environment. You’ll be motivated by solving challenging problems, requiring creativity alongside coding and testing. Key responsibilities include partnering with product managers, engineering, analytics, and business teams to gather requirements and build scalable data models, data extraction processes, and applications to answer complex questions, as well as designing ETL pipelines into a central data warehouse. You will also improve data quality with internal tools, implement data governance for security, privacy, and compliance, adopt new technologies, and coach junior data engineers.

Zendesk is seeking a high-performing Enterprise Account Executive to drive Norway enterprise growth, targeting new logos and multi-year CX and AI transformation opportunities using AI-powered solutions like AI Agent, Copilot, QA, and CCaaS. You will build strategic account plans, lead complex, multi-stakeholder sales cycles across business, IT, operations, procurement, and executives, and expand existing customers through adoption of Zendesk’s AI platform as part of broader CX transformation programs. The role requires multi-year enterprise SaaS sales experience, success in long-cycle, high-value deals, Norwegian and English fluency with executive presence, a strong understanding of AI/automation for large enterprises, and experience with AI sales tools/CRM and ROI business-case development, plus cross-functional collaboration and a self-driven, adaptable mindset; travel to Norway for in-person meetings is essential. The position can be based remotely or in a hybrid setup within Denmark, with regular travel to Norway for customer engagement. Zendesk emphasizes equal opportunity, hybrid work, and a commitment to diversity and inclusion, including accommodations for applicants with disabilities and AI-driven screening where appropriate.

Zendesk is hiring a Staff Software Engineer for the AI Copilot team to deliver AI/ML-powered features at scale within a culture-focused environment. You will work with ML scientists and engineers, lead technical design, build tools for model experimentation and management, collaborate with DevOps/feature/platform/product teams, and drive initiatives to improve scalability and robustness while mentoring others. Required qualifications include fluency in Python or Ruby, 7+ years building and operating large-scale applications with technical leadership, proficiency with REST APIs, Kafka, Docker, Kubernetes, and AWS or GCP, the ability to navigate ambiguity, and a drive to apply AI/ML at scale. Preferred qualifications include experience with Airflow or Metaflow, LLM evaluation/monitoring tooling, PyTorch, and SQL or DBT; the tech stack features Python and Ruby, AWS, PyTorch, Airflow/Metaflow, S3/RDS/MySQL/Snowflake, Docker/Kubernetes, and heavy use of LLM technology. The role is hybrid (part in-office with schedule determined by the manager), and Zendesk emphasizes fairness and equal opportunity, with AI screening and accommodations for disabilities available upon request via email.

The Krakow-based role is for a Product Manager of omnichannel routing who will define and prioritize the product roadmap and help evolve AI-enabled routing in collaboration with cross-functional teams. You’ll work with engineers, designers, and product marketers to deliver cross-functional projects, meet with customers, analyze data and competitors, and communicate a clear vision for a simple yet powerful product. Basic qualifications include 2+ years of product management in an agile environment, strong problem-solving skills, the ability to balance long-term strategy with incremental value, customer insight, excellent written communication, and data-driven decision making, plus a drive to learn and mentor. Preferred qualifications include experience in the Customer Experience industry and backgrounds in design, engineering, or data analysis. Zendesk emphasizes equal opportunity and a hybrid work model in Poland, with a base salary range of PLN 240,000–360,000 plus potential bonuses or benefits, and accommodations available; the company also highlights its commitment to diversity and may use AI in screening.

This role designs, develops, and deploys workflow automations across Employee Services, IT, and People Operations, partnering with business stakeholders and IT to analyze and reimagine complex processes through automation, AI, and integrations, using tools such as Zendesk, Workato, Google Workspace, Slack, and Workday. You’ll experiment with AI-powered agents and workflow frameworks, collaborate with the AI & Automation Director, AI Governance, and Enterprise Architecture to pilot tools responsibly, and create reusable automation templates and documentation to accelerate adoption. Responsibilities include assessing automation requests, maintaining a backlog, prioritizing work with leadership based on impact and strategic objectives, and supporting performance metrics like ROI, time-savings, and productivity gains for continuous improvement. Basic qualifications include a bachelor’s degree or equivalent, 3–5 years designing and deploying automations, hands-on experience with iPaaS/RPA tools (e.g., Zapier, n8n, Make, Workato, UiPath), familiarity with AI APIs, ITSM/HR workflows, REST/JSON/webhooks, and solid programming fundamentals, plus agile collaboration and strong communication. The role is hybrid with in-office presence and must be located in Mexico City or Estado de Mexico, with specifics determined by the hiring manager; Zendesk is an equal opportunity employer that may use AI for screening and provides accommodations upon request.

Figma is seeking an experienced GTM strategist (full-time) to support hyper-growth, with options to work from the New York hub or remotely in the United States, to help scale global reach and revenue as more products are added and markets expand. You will lead the development of the sales growth plan, own the pipeline model, reimagine the GTM model and metrics, and drive short- and long-range projects to exceed ARR goals while coordinating with Sales, Marketing, Partnerships, and Self-Serve teams and sharing data-driven insights with the C-suite. Qualifications include 4+ years in strategic planning, sales operations, or business development in SaaS/tech, the ability to craft a scalable vision/plan for a large B2B business, strong analytical and financial modeling skills, and excellent cross-functional communication; bonus points for PLG SaaS, consulting/IB/PE, SQL/Python, BI tools, or international experience. Compensation includes an annual base salary range of $122,000–$288,000 for SF/NY hubs, with remote roles localized by location; equity and a comprehensive benefits package (health, dental, vision, retirement with company contribution, parental leave and family planning support, mental health and wellness, PTO, stipends, and sales incentives/annual bonuses). Figma values growth and inclusion, encourages applicants even if their experience isn’t a perfect match, provides accommodations for applicants with disabilities, requires candidates to keep cameras on during video interviews, and mandates in-person onboarding, with data handling governed by the Candidate Privacy Notice.

Figma is expanding its Product Marketing team and seeks a leader to oversee the core Design product and related design-adjacent products, helping shape the marketing foundation as the product evolves. The role involves leading go-to-market strategy and execution, partnering with Product, crafting messaging from user insights, driving new product launches, building exec-ready presentations, enabling sales, and coaching a small PMM team while improving cross-functional processes. Requirements include 10+ years in SaaS product marketing, 5+ years of people leadership, strong product and AI domain expertise, excellent writing and storytelling, and the ability to drive executive-level partnerships; experience with design tools is a plus. The role can be remote in the United States or based in Figma’s SF or NY hubs; base salary for SF/NY is $250,000–$338,000 with remote location adjustments (80–100% of range), plus equity and a comprehensive benefits package. Figma emphasizes diversity and inclusion, offers accommodations for applicants with disabilities, requires camera-on during video interviews and in-person onboarding, and processes candidate data under its Privacy Notice.

Figma is growing its team to make design accessible and enable real-time collaboration, and it seeks a leader for the Product Marketing team overseeing the core Design product and related design-adjacent products, with options to work from US hubs or remotely in the US. Responsibilities include leading go-to-market strategy and execution, partnering with Product, crafting messaging from user insights, leading product launches and campaigns, developing executive presentations, enabling sales through programs, and building/coaching a small PMM team while shaping team culture and processes. Required qualifications include 10+ years in product marketing in SaaS, 5+ years of hiring and managing direct reports, the ability to become a product/domain expert in technical/AI products, excellent writing and storytelling, and experience driving executive-level conversations; experience with design tools is a plus. Compensation details note a SF/NY base salary range of $250,000–$338,000 with pay determined by qualifications and location; remote roles are localized to the employee’s location at 80–100% of range, plus equity and a comprehensive benefits package including health, retirement, parental leave, mental health, PTO, stipends, and incentives where applicable, all subject to change. Figma emphasizes diversity and inclusion, provides accommodations for disabilities, requires cameras on during video interviews and in-person onboarding, and directs candidates to the Candidate Privacy Notice for data handling.

- Atlassian offers flexible work location options (office, home, or hybrid) and hires in any country where they have a legal entity. - The role focuses on using professional written and verbal communication to resolve application issues, diagnose code errors, perform root-cause analysis, and guide customers to resolution with logic and context. - It includes creating knowledge-base content, handling customer escalations, prioritizing tickets, and building relationships with development and product teams to communicate customer needs and urgency. - The position aims to develop into a highly skilled support engineer with subject-matter expertise across the Atlassian stack and to influence product direction through customer feedback. - Qualifications include 7+ years in technical software support, Java/J2EE troubleshooting, JVM, operating systems, database concepts, experience with one or more app servers, network knowledge, strong customer empathy, de-escalation and mentoring abilities, excellent communication, and strong teamwork and time-management skills.

Atlassian offers flexible work options—office, remote, or hybrid—so employees can balance family and personal goals. They hire in any country where the company has a legal entity. The role involves resolving application issues through professional communication, diagnosing code errors, performing root-cause analysis, creating knowledge-base content, handling escalations, prioritizing tickets, and collaborating with development and product teams to communicate customer needs and influence product direction. It also emphasizes advocating for customers, mentoring others, and developing expertise across the Atlassian stack. Qualifications include 7+ years in a technical support role (Java/J2EE troubleshooting), familiarity with JVMs, Windows/Linux, databases (Oracle/SQL Server/Postgres), application servers (Tomcat/Apache/IIS/NGINX), networking basics, strong customer empathy and de-escalation skills, multitasking, teamwork, and excellent communication.

Atlassian offers flexible work options, allowing employees to choose office, remote, or a mix to support their personal goals and priorities. The company hires in any country where it has a legal entity, enabling global staffing. In this role, you will partner with HRBPs and cross-functional teams to investigate and recommend next steps or disciplinary action for high-risk concerns and employee grievances such as harassment, discrimination, retaliation, or policy violations. You will mentor and train managers to handle complex performance management, serve as a subject matter expert on employment law and Atlassian policies, and provide employee relations trainings. You will also use data to identify ER trends and deliver preventative trainings and process improvements.

Atlassian offers flexible work locations—office, home, or a hybrid—giving employees greater control over family, personal goals, and priorities. The company can hire people in any country where it has a legal entity. In this role, you’ll partner with HRBPs and other cross-functional teams on investigations and recommendations for next steps and disciplinary action. You’ll investigate and resolve high-risk concerns and employee grievances (e.g., harassment, discrimination, retaliation, or other policy violations) and work with managers to address complicated performance scenarios. You’ll serve as a subject-matter expert on employment law and Atlassian policies, provide employee relations trainings (including manager-focused topics on performance management, difficult conversations, and labor law compliance), and use data to identify trends and deliver preventative trainings and improved processes.

The Website & Email Team manages Miro’s public-facing platform, with Email Engineering essential for production, localization, and optimization of emails at scale, partnering with Lifecycle, Messaging, and Product teams. The Email Engineer serves as a subject-matter expert to ensure the technical stability, scalability, and quality of all automated and transactional email streams, handling high-volume campaigns and global localization efforts. Responsibilities include building responsive HTML email templates from an Email Design System, testing render across clients and devices, collaborating with marketing/design/product teams, optimizing with A/B testing and analytics, troubleshooting rendering issues, and supporting localization. Requirements cover strong responsive HTML/CSS and templating languages like Liquid or AMPscript, hands-on experience with an enterprise ESP (preferably Braze) including API integration and campaigns, familiarity with Taxi for Email and Litmus, and the ability to communicate effectively with non-technical stakeholders. Benefits include a competitive equity package, health insurance and pension, meals in the office, wellbeing and equipment allowances, annual learning and development funds, and the opportunity to work in a globally diverse team, all within Miro’s mission to empower teams and its commitment to inclusion and Recruitment Privacy Policy.

The Website & Email Team is Miro’s core engineering group for the public-facing digital platform, with the Email Engineering function supporting email template production, localization, and optimization at scale and partnering with Lifecycle, Messaging, and Product teams. The Email Engineer acts as a subject-matter expert responsible for the technical stability, scalability, and quality of all automated and transactional email streams, including high-volume campaigns and global localization. You’ll create and code responsive HTML email templates using an Email Design System, ensure correct rendering across clients and devices, collaborate with marketing, design, and product teams, optimize performance with A/B testing and analytics, troubleshoot issues, and support localization. You’ll need strong responsive HTML/CSS and email templating skills (Liquid or AMPscript), hands-on experience with an enterprise ESP (prefer Braze) including API integration and segmentation, familiarity with Taxi for Email and Litmus, and the ability to communicate technical solutions to non-technical stakeholders. Miro offers competitive equity, health insurance, pension, meals, wellbeing and equipment allowances, learning and development funds, and the chance to work within a globally diverse team, as a company that aims to empower teams to create the next big thing.

The Website & Email Team is Miro’s core engineering group responsible for the public-facing platform, with Email Engineering supporting template production, localization, and optimization at scale and partnering with Lifecycle, Messaging, and Product teams. The Email Engineer serves as a subject-matter expert tasked with maintaining technical stability, scalability, and quality of all automated and transactional email streams, while managing high-volume campaigns and global localization. You’ll create and code responsive HTML email templates using an Email Design System, ensure consistent rendering across email clients and devices, collaborate with marketing/design/product teams, optimize performance via A/B testing and analytics, troubleshoot issues, and support localization. Requirements include strong responsive HTML/CSS and templating languages like Liquid or AMPscript, hands-on experience with an enterprise ESP (prefer Braze) including API integration and segmentation, familiarity with Taxi for Email and Litmus, and the ability to communicate with non-technical stakeholders. Benefits include competitive equity, health insurance, a corporate pension plan, snacks and wellbeing allowances, and an annual learning and development budget, all within Miro’s globally diverse and inclusive culture, with the Recruitment Privacy Policy governing applicant data.

The Website & Email Team at Miro manages the public-facing platform, with the Email Engineering function responsible for email template production, localization, and optimization at scale, partnering with Lifecycle, Messaging, and Product teams. The Email Engineer acts as a subject-matter expert to ensure technical stability, scalability, and quality of all automated and transactional email streams, including high-volume campaigns and global localization. Your responsibilities include creating responsive HTML email templates using an Email Design System, testing rendering across clients and devices, collaborating with marketing, design, and product teams, optimizing engagement through A/B testing and analytics, troubleshooting issues, and supporting localization of templates. Requirements include strong HTML/CSS and email templating languages (Liquid or AMPscript), hands-on experience with an enterprise ESP (preferably Braze) including API integration, segmentation, and campaign setup, familiarity with Taxi for Email and Litmus, and the ability to communicate technical solutions to non-technical stakeholders. Perks include a competitive equity package, health insurance for you and your family, a corporate pension plan, office snacks, wellbeing and WFH equipment allowances, an annual learning and development budget, and the opportunity to work in a globally diverse team, reflecting Miro’s commitment to belonging and recruitment privacy policy.

- The Website & Email Team manages Miro’s public-facing digital platform, with Email Engineering supporting email template production, localization, and scalability as a technical partner to Lifecycle, Messaging, and Product teams. - The Email Engineer is a subject-matter expert responsible for the technical stability, scalability, and quality of automated and transactional email streams, handling high-volume campaigns, complex projects, and global localization. - Responsibilities include creating and coding responsive HTML email templates using an Email Design System, testing rendering across clients/devices, collaborating with marketing/design/product teams, optimizing with A/B testing and analytics, troubleshooting issues, and supporting localization. - Requirements encompass strong proficiency in responsive HTML/CSS and email templating languages (Liquid or AMPscript), hands-on experience with an enterprise ESP (prefer Braze) including API integration, segmentation, and campaign setup, familiarity with Taxi for Email and Litmus, and clear communication with non-technical stakeholders. - What’s in it for you: competitive equity package, health insurance for you and your family, pension, office lunch/snacks, wellbeing benefit and equipment allowance, and an annual learning allowance; Miro emphasizes a globally diverse, inclusive team and a mission to empower teams to create the next big thing.

The Website & Email Team at Miro is the core engineering group for the public-facing platform, with the Email Engineering function supporting email template production, localization, and scale while partnering with the Lifecycle, Messaging, and Product teams. The Email Engineer acts as a subject-matter expert to ensure the technical stability, scalability, and quality of all automated and transactional email streams, managing high-volume campaigns and global localization. Responsibilities include creating responsive HTML email templates using an Email Design System, testing rendering across clients and devices, collaborating with marketing, design, and product teams, optimizing performance via A/B testing and analytics, and troubleshooting email issues. Requirements include strong skills in responsive HTML/CSS and templating languages (Liquid or AMPscript), hands-on experience with an enterprise ESP like Braze (API, segmentation, campaign setup), familiarity with tooling such as Taxi for Email and Litmus, and strong communication with non-technical stakeholders. In return, Miro offers a competitive equity package, health insurance, pension, office perks, wellbeing and learning allowances, and a diverse, inclusive global team; Miro is a visual workspace serving 100M+ users with 1,600+ employees across 13 hubs, founded in 2011, and committed to belonging with a Recruitment Privacy Policy in place.

The Website & Email Team at Miro is the core engineering group that manages the public-facing platform, with Email Engineering essential for scalable, localized, automated and transactional email delivery and partnerships with Lifecycle, Messaging, and Product teams. The Email Engineer is a subject-matter expert responsible for the technical stability, scalability, and quality of all email streams, managing high-volume campaigns and localization. Responsibilities include creating responsive HTML email templates using an Email Design System, ensuring cross-client and device rendering, collaborating with marketing, design, and product teams, optimizing with AB testing and analytics, and diagnosing email issues. Requirements include strong responsive HTML/CSS and templating languages such as Liquid or AMPscript, hands-on experience with an enterprise ESP (preferably Braze) including API integration and segmentation, familiarity with Taxi for Email and Litmus, and the ability to communicate with non-technical stakeholders. Perks include a competitive equity package, health insurance for you and your family, a corporate pension, lunch and snacks in the office, a wellbeing benefit plus a WFH equipment allowance, and an annual learning and development allowance, all within a globally diverse, collaborative environment aligned with Miro's mission to empower teams and with recruitment conducted under Miro's Recruitment Privacy Policy.

The Website & Email Team at Miro is seeking an Email Engineer to act as a subject-matter expert responsible for the technical stability, scalability, and quality of all automated and transactional email streams, including high-volume campaign execution and global localization. You will create and code responsive HTML email templates using an Email Design System, ensure consistent rendering across email clients and devices, collaborate with marketing, design, and product teams, and use A/B testing and analytics to improve engagement. You will troubleshoot rendering or functionality issues and support localization efforts, with hands-on experience in an enterprise ESP (preferably Braze) including API integration, segmentation, and campaign setup, plus familiarity with Taxi for Email and Litmus. Required skills include strong responsive HTML/CSS and templating languages like Liquid or AMPscript, plus the ability to translate business goals into robust technical solutions and communicate with non-technical stakeholders. Miro offers a competitive equity package, health insurance for employees and families, a corporate pension plan, meal provisions and wellness benefits, an annual learning and development allowance, and a globally diverse, inclusive culture focused on collaboration.

The Email Engineer is a subject-matter expert within Miro's Website & Email Team, partnering with Lifecycle, Messaging, and Product teams to ensure scalable, stable, and high-quality automated and transactional email streams, including localization for global campaigns. You will create and code responsive HTML email templates using an Email Design System, test rendering across clients and devices, collaborate with marketing, design, and product teams to implement campaigns, optimize performance with A/B testing and analytics, troubleshoot rendering or functionality issues, and support localization workflows. Requirements include strong proficiency in responsive HTML/CSS and email templating languages like Liquid or AMPscript, hands-on experience with an enterprise ESP (prefer Braze) including API integration, segmentation, and campaign setup, familiarity with Taxi for Email and Litmus, and the ability to translate business goals for non-technical stakeholders. The role offers a competitive equity package, health insurance, a corporate pension, office meals, wellbeing and WFH equipment allowances, an annual learning allowance, and the chance to work with a globally diverse team. Miro is a visual workspace for distributed teams, with over 100 million users and 250,000 companies, co-headquartered in San Francisco and Amsterdam, valuing collaboration, belonging, and diversity, and it notes a Recruitment Privacy Policy.

The Website & Email Team manages Miro’s public-facing digital platform, with Email Engineering focusing on email template production, localization, and optimization at scale and serving as the technical partner to Miro Lifecycle, Messaging, and Product teams. The Email Engineer is a subject-matter expert responsible for the technical stability, scalability, and quality of all automated and transactional email streams, managing high-volume campaigns and global localization processes. Responsibilities include building responsive HTML email templates using an Email Design System, ensuring consistent rendering across email clients and devices, collaborating with marketing, design, and product teams, and improving engagement via A/B testing and analytics, plus troubleshooting rendering or functionality issues and supporting localization. Requirements include strong proficiency in responsive HTML/CSS and templating languages like Liquid or AMPscript, hands-on experience with an enterprise ESP (preferably Braze) with API integration, segmentation, and campaign setup, familiarity with tools like Taxi for Email and Litmus, and the ability to communicate with non-technical stakeholders. Perks and culture include competitive equity, health insurance for family, a corporate pension plan, office snacks, wellbeing and equipment allowances, learning and development funding, and a globally diverse, inclusive environment aligned with Miro’s mission and values, plus information about the Recruitment Privacy Policy.

- Atlassian offers flexible work options—office, home, or hybrid—to help employees balance family, personal goals, and priorities, and hires in any country with a legal entity. - They are seeking a Solutions Engineer ITSM/ESM to expand their enterprise business and team. - The role involves working directly with enterprise sales teams and channel partners to understand customer needs, strategize winning sales cycles, deliver value-based demonstrations, support enterprise proofs of concept, and close deals. - The candidate should be customer-obsessed and capable of collaborating with cross-functional teams to investigate client pain points and map requirements to Atlassian capabilities, while aligning the account plan with sales management. - Responsibilities also include delivering compelling presentations, demos, and proofs of concept, and working with product management to incorporate customer feedback to advance Atlassian’s product line.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a blend, and hires people in any country where they have a legal entity. They are seeking a Solutions Engineer ITSM/ESM to support growth and enterprise deals, collaborating with enterprise sales teams and channel partners. The role involves understanding customer needs, strategizing to win sales cycles, delivering value-based demos, supporting proofs of concepts, and ultimately closing business. You will work with cross-functional teams to drive the customer journey and map client business and technical requirements to Atlassian capabilities. You’ll also partner with sales management to align the account plan, deliver compelling presentations and POCs, and work with product management to provide customer feedback to advance Atlassian’s product line.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. As a Senior Forward Deployed Engineer, you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and help organizations leverage Atlassian’s AI capabilities. The role emphasizes collaborating with product, engineering, and design to grow technical and domain expertise and to deliver tangible business impact in a fast-paced, high-visibility environment. You will lead the design, development, and deployment of AI/ML solutions using frameworks such as TensorFlow, PyTorch and agent platforms (LangChain, LlamaIndex), and architect robust integrations with Python or JavaScript for APIs and enterprise-scale systems. Additionally, you’ll drive data-driven development, champion AI-augmented workflow automation, oversee end-to-end production deployment with monitoring and improvement, navigate AI risk and privacy/regulatory considerations, mentor junior engineers, and communicate complex concepts clearly to stakeholders while aligning with business objectives.

Atlassian provides flexible work locations (office, home, or a mix) and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first model. As a Senior Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and drive business impact. You’ll lead the design, development, and deployment of AI/ML solutions using frameworks like TensorFlow, PyTorch, and agent-based platforms such as LangChain and LlamaIndex, and architect integrations with Python, JavaScript, APIs, and microservices. The role emphasizes data-driven development, AI-augmented workflow automation, end-to-end production deployment with continuous evaluation, and navigating risk and compliance including GDPR. You’ll mentor junior engineers, communicate complex technical concepts to diverse stakeholders, and ensure solutions align with business objectives and measurable outcomes.

At Atlassian, employees have flexibility in where they work (office, home, or a mix), and the company hires globally where it has a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. The Senior Forward Deployed Engineer (FDE) will be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions, in a high-visibility, fast-paced, and ambiguous environment. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities to solve real-world problems and drive business outcomes. The role involves leading the design, development, and deployment of AI/ML-powered solutions using frameworks like TensorFlow and PyTorch, and building robust integrations with languages such as Python or JavaScript for APIs and microservices. Additional responsibilities include driving data-driven insights, promoting AI-augmented workflow automation, overseeing end-to-end production deployments with monitoring, navigating AI risk and GDPR compliance, mentoring junior engineers, and clearly communicating complex concepts to technical and non-technical stakeholders while aligning technical efforts with business goals.

At Atlassian, you can work where you’re most productive—office, remote, or a mix—and the company hires globally where it has a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. As a Senior Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and help organizations leverage Atlassian’s AI capabilities. This high-visibility, high-impact role invites you to work with product, engineering, and design to grow your technical and domain expertise while making tangible business impacts and shaping the future of AI-powered teamwork. You’ll lead the design, development, and deployment of AI/ML solutions using frameworks like TensorFlow and PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex), architect robust integrations with Python or JavaScript, and drive data-driven insights and AI-augmented workflow automation. You’ll also oversee end-to-end production deployment, navigate AI risk and data privacy/regulatory requirements, mentor junior engineers, and communicate complex concepts clearly to stakeholders, ensuring technical progress aligns with business objectives and measurable results.

- Atlassian supports flexible work options and hires in any country where it has a legal entity, giving employees greater control over family, personal goals, and other priorities. - The company began with Jira, expanded its productivity tools, and remains focused on developers as the core audience while revitalizing its product lineup for them. - Atlassian is creating a new DevAI pillar to deeply integrate AI into the developer experience, including a daily developer dash, AI-driven code reviews, and autonomous code generation to complete tasks. - The goal is to transform software development with ambitious plans that leverage the ecosystem to enhance every step of the developers' productivity cycle. - In this role, you will help innovate core intelligence solutions within DevAI, handling LLM integration, prompt engineering, and end-to-end AI features, while collaborating with scientists, software engineers, and partner teams to deliver world-class developer AI products.

Atlassian offers flexible work options—office, home, or a hybrid setup—and can hire in any country where the company has a legal entity to better support personal goals and priorities. The "Future Team - DevAI" signals Atlassian’s renewed focus on developers, revitalizing its product lineup around this core audience. Atlassian’s ecosystem aims to enhance every step of the developers’ productivity cycle, anchored by a new DevAI pillar that deeply integrates AI into the developer experience. The DevAI initiative includes a daily developer dash, AI-driven code reviews, autonomous code generation, and other end-to-end AI capabilities to transform software development. In this role, you’ll help innovate core intelligence solutions in DevAI, including LLM integration and prompt engineering, collaborating with scientists, engineers, and partner teams to deliver world-class developer AI products.

Atlassian offers flexible work options—office, remote, or hybrid—and hires people in any country where the company has a legal entity to support employees' personal goals and priorities. The company is revitalizing its product lineup through a new DevAI pillar that deeply integrates AI to improve the entire developer productivity cycle, building on Jira’s origins for developers. This initiative includes an AI-enabled daily developer dash, AI-driven code reviews, autonomous code generation, and broader tasks to transform software development. In this role, you will help innovate core intelligence solutions within DevAI, focusing on LLM integration, prompt engineering, and end-to-end AI features, collaborating with scientists, engineers, and partner teams. The goal is to deliver Atlassian’s world-class developer AI products that will shape the future of software development.

- Atlassians can choose to work in an office, from home, or a mix of the two, and the company hires people in any country where it has a legal entity. - Atlassian began with Jira and has expanded its suite of tools, but developers remain central and the company is revitalizing its lineup to better serve them. - A new DevAI pillar is being created to deeply integrate AI and redefine developer experiences, including a daily developer dash, AI-driven code reviews, and autonomous code generation. - You will play a crucial role in innovating core intelligence solutions within DevAI, with responsibilities like LLM integration, prompt engineering, and end-to-end AI feature development, collaborating with scientists, engineers, and partner teams. - The goal is to deliver Atlassian’s world-class developer AI products that will shape the future of software development.

Atlassian offers flexible work locations and globally hires where they have a legal entity, and is recruiting experienced architects and senior engineers for its Cloud Readiness team to design, implement, and operate services that improve enterprise cloud readiness. The role involves collaborating with other developers to produce high-quality code and deliver improvements that users love, within a ~70-person development organization and in coordination with Atlassian architects on enterprise controls and policies. Ideal candidates will have broad experience architecting and building large-scale distributed systems, with knowledge of SaaS, PaaS, IaaS and hands-on experience with at least one public cloud (ideally AWS). They should bring 10+ years of software experience, including 4+ years in an architect role across multiple teams, strong object-oriented programming skills, and the ability to drive long-term vision while working with remote teams and enterprise customers. Preferred-but-not-required qualifications include experience building public-facing data formats for SaaS and customer-facing data lifecycle management capabilities.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The company is seeking experienced architects and senior engineers to join the Cloud Readiness team to design, implement, and operate services that strengthen enterprise readiness of the cloud, working closely with a dynamic team of developers. The role involves collaborating with a ~70-person development team and Atlassian architects to implement enterprise controls and policies, and requires a pragmatic, sure-footed person who isn’t afraid to speak up. On day one, candidates should have broad experience architecting and building large-scale distributed systems, knowledge of SaaS/PaaS/IaaS (ideally AWS), at least 10+ years in software with 4+ years in an architect role, fluency in modern OO languages, and strong collaboration and long-term vision skills to serve enterprise customers. Desirable but not required are experience building public-facing data formats for SaaS and customer-facing data lifecycle management capabilities, and the ability to work effectively with remote teams and understand cloud operational requirements.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally in countries where it has a legal entity. They are seeking experienced architects and senior engineers to join the Cloud Readiness team to design, implement, and operate services that strengthen enterprise readiness of their cloud. The role involves collaborating with a ~70-person development team and Atlassian architects to deliver creative improvements and implement enterprise controls and policies, while encouraging candid communication. On day one, candidates should have broad experience architecting and building large-scale distributed systems; hands-on cloud experience (ideally AWS); 10+ years of software experience with 4+ years in an architect role; 4+ years in high-volume, low-latency distributed systems; fluency in modern OO languages and distributed-systems architecture patterns; strong collaboration and communication skills; the ability to drive long-term vision and understand enterprise customers, including experience working with remote teams. Nice-to-have qualifications include experience building public-facing data formats for SaaS and customer-facing data lifecycle management capabilities.

Atlassian offers flexible work locations (office, home, or a hybrid) and hires globally in countries where they have a legal entity. They are seeking experienced architects and senior engineers to join the Cloud Readiness team to design, implement, and operate services that strengthen enterprise readiness for their cloud. The role involves collaborating with a ~70-person development team and architects across Atlassian to implement enterprise controls and policies, and requires pragmatic, candid communication and the ability to drive long-term vision. On day one, candidates should have broad experience building large-scale distributed systems, hands-on cloud experience (ideally AWS), 10+ years of software experience with 4+ years in an architect role, fluency in modern object-oriented languages, and strong collaboration skills. Nice-to-have items include experience building public-facing data formats for SaaS and customer-facing data lifecycle management, plus experience working with remote teams.

At Atlassian, employees can work in an office, from home, or in a hybrid arrangement, providing flexibility to support personal priorities. The company hires globally in any country where it has a legal entity. In this role, you will inspire innovation and operational excellence, own the delivery of critical projects in a microservices environment, be the engineering voice in quarterly planning, build an open and trusting operational culture, participate in hiring and budgeting, and collaborate on technical discussions to drive decisions. The background required includes 5+ years of experience managing software engineers, a CS-related bachelor's or master’s degree, experience partnering with internal customers, implementing DevOps best practices, and familiarity with public-facing high-traffic e-commerce websites. Candidates should be excited to foster a culture of continuous improvement.

Atlassian allows employees to choose where they work—office, home, or a hybrid arrangement—giving them more control over family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. In this role, you will inspire innovation and operational excellence, own the delivery of critical microservices projects, serve as the engineering voice in quarterly planning, help build an open, trusting, and mature culture, and participate in hiring, budgeting, and architectural discussions. The ideal candidate has 5+ years of experience managing software engineers, a bachelor’s or master’s degree (CS preferred), and demonstrated experience partnering with internal customers, implementing DevOps practices, and working with public-facing high-traffic e-commerce sites. The role emphasizes fostering a culture of continuous improvement.

Atlassian offers flexible work locations and hires globally wherever there is a legal entity. The Legal Technology team builds and supports applications for Atlassian's legal, compliance, and governance functions, partnering with Legal, IT, and Security to deliver scalable solutions that streamline workflows and protect data integrity. You’ll join a cross-functional team of engineers, product managers, and legal professionals, and the organization values curiosity, collaboration, and solving complex problems with elegant technical solutions. The role involves designing, building, and maintaining integrations between Jira/Confluence and legal/compliance systems, and developing custom apps and automation to streamline workflows and meet regulatory requirements. Responsibilities include collaborating with legal to translate requirements, evaluating integration patterns, enabling self-service through automation, troubleshooting issues, contributing to architecture and roadmaps, and documenting solutions and best practices.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country with a legal entity. The Legal Technology team builds and supports applications powering Atlassian’s legal, compliance, and governance functions, partnering with Legal, IT, and Security. The team is cross-functional with engineers, product managers, and legal professionals who value curiosity, collaboration, and solving complex problems with elegant technical solutions. Responsibilities include designing, building, and maintaining integrations between Atlassian products (Jira, Confluence) and legal systems (contract management, eDiscovery, regulatory reporting), plus developing automation to streamline workflows and ensure compliance. They also collaborate with legal stakeholders to translate requirements, evaluate integration patterns, enable self-service operations, troubleshoot issues, contribute to architecture and roadmaps, and document solutions and best practices.

Atlassian offers flexible work locations (office, home, or a mix) and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The Support Engineer (Cloud) role provides multi-channel support (phone and email) to diagnose, reproduce, and fix technical issues in Atlassian products, requiring a motivated self-starter, self-learner, strong customer service and problem-solving skills, and a willingness to work APAC or EMEA hours with possible weekend on-call. Atlassian emphasizes a unique, energetic, collaborative environment with a casual, startup-like atmosphere and values such as Open Company, no bullshit; Play, as a team; Build with heart & balance; Be the change you seek; and Don’t #@!% the customer. Responsibilities include resolving customer configuration issues, responding to questions via email and chat, ensuring a positive experience with Atlassian Cloud products, understanding use cases, troubleshooting, and implementing workarounds for product bugs, as well as contributing to knowledge base articles and SOPs to keep content current. Additional duties involve assisting APAC customers on a 4:30 AM–1:30 PM IST shift or EMEA customers on a 12:00–21:00 IST shift (subject to DST changes) and occasionally working weekends as an On-Call engineer.

Atlassian allows employees to work from the office, from home, or in a hybrid setup and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Support Engineer (Cloud) role provides multi-channel customer support (phone, email) to diagnose and fix technical issues in Atlassian products, requiring a motivated self-starter who learns quickly, strong customer service and problem-solving skills, and willingness to work APAC or EMEA hours and occasional weekends. Atlassian emphasizes a culture of energy, creativity, and collaboration, with a casual, inviting atmosphere and values such as Open Company, Play as a Team, Build with Heart & Balance, Be the Change You Seek, and Don’t #@!% the Customer. Responsibilities include resolving customer configuration issues, responding to questions via email and chat, ensuring a positive experience with Cloud products, troubleshooting, and devising workarounds for bugs, while contributing to knowledge base articles and SOPs to keep case content current. The role requires shifts for APAC customers from 4:30 AM to 1:30 PM IST or EMEA customers from 12:00 to 21:00 IST (subject to DST changes), with occasional on-call weekends, offering a path to grow in technical support within Atlassian’s distinctive environment.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever they have a legal entity. The Senior Support Engineer role aims to improve customer experience through preventative projects, mentoring, and timely global technical advice, and requires coordination with peers across support centers with APAC hours as needed. Responsibilities include owning or advising on escalations, guiding customers to resolution using available resources, coaching on escalation processes, sharing knowledge of the product roadmap, and coordinating release readiness feedback to the development team. Competencies emphasize customer focus, effective communication, adaptability, teamwork, and process re-engineering, along with coaching and mentoring of new hires. Requirements include 10+ years in customer support, 4–8+ years in a highly technical, customer-facing environment, advanced troubleshooting across multi-product and large deployments, 24x7 support experience across locations, strong communication, and familiarity with Jira/Confluence being a plus.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever there is a legal entity. The Senior Support Engineer role focuses on improving customer experience through preventative projects, mentoring, and resolving global technical issues, often coordinating with other support centers and requiring APAC business hours unless other demands arise. Responsibilities include managing or advising on customer escalations, guiding customers to resolution using available resources, understanding escalation channels, sharing product roadmap knowledge, and facilitating release readiness feedback to the Dev team. Required competencies include customer focus, effective communication, adaptability, teamwork, and process reengineering. Qualifications include 10+ years in customer support, 4-8+ years in a highly technical, customer-facing role, advanced troubleshooting across multi-product environments and large-scale deployments, 24x7 support experience, mentoring and training, and familiarity with Jira/Confluence.

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 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.

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.

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 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.

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.

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.

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.

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.