The Ampin App
deep insights into the Atlassian community

DX, a fast-growing SaaS company headquartered in Salt Lake City and now part of Atlassian, helps engineering leaders build high-performing teams by collecting millions of data points daily to reveal developer productivity, with customers including Pinterest, GitHub, BNY, and Xero. Joining Atlassian will expand resources, accelerate growth and R&D, and enable greater impact for customers. DX values individual mastery and the highest level of performance, emphasizing that while outcomes depend on factors beyond control, you should strive to perform at the highest level. In this role you’ll coach a team of Strategic Account Executives to consistently hit revenue targets, operate as a player-coach on high-stakes deals, institutionalize the sales process with rigorous pipeline discipline and accurate forecasting, analyze performance to coach underperformers, drive GTM improvements from frontline feedback, and recruit and onboard top talent while fostering a culture of continuous learning. Ideal candidates are team-first, systems thinkers who lead by example, provide radical candor, thrive in ambiguity, balance data-driven decisions with the human element, and possess high emotional intelligence to navigate complex stakeholders.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The Central AI Org drives AI innovation across all Atlassian products, aiming for seamless AI experiences and a robust AI infrastructure, including horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, plus exploration of AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by building productive, reliable tools to develop, deploy, measure, and operate AI models and experiences. As a Senior ML System Engineer on the Inference team, you will design and optimize end-to-end large-scale model serving systems, from distributed infrastructure to deep low-level optimizations like GPU kernels and quantization. You will architect scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimize latency and throughput under production workloads, build high-concurrency serving systems for billions of requests, establish CI/CD for model deployment, and collaborate to fine-tune open-source LLMs and deploy them.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally in any country where they have a legal entity. The Central AI Org aims to drive AI innovation across Atlassian products, build a robust AI infrastructure, and create a centralized search, Q&A, and conversational AI system integrated across products while exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML by building productive tools for development, deployment, measurement, and operation of AI/ML models for Atlassian teams and the broader ecosystem. The Senior ML System Engineer on the Inference team will design and optimize large-scale model serving end-to-end, encompassing distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) and low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable serving, optimizing latency and throughput under production workloads, building high-concurrency systems, benchmarking and accelerating inference engines, enabling CI/CD for model deployment and inference updates, and collaborating with senior ML engineers to fine-tune open-source LLMs and deploy them.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires anywhere with a legal entity to support employees’ family, personal goals, and priorities. The Central AI Org is dedicated to driving AI innovation across all Atlassian products by developing horizontal AI capabilities, a centralized Search/Q&A/Conversations system, and exploring AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by building productive, reliable tools for developing, deploying, measuring, and operating AI models and experiences. As a Senior ML System Engineer on the Inference team, you will design and optimize end-to-end large-scale model serving systems, from distributed infrastructure to low-level GPU optimizations. You will architect scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimize latency and throughput under production workloads, build high-concurrency serving systems, benchmark and accelerate inference engines, and develop CI/CD for seamless model deployment while partnering to fine-tune open-source LLMs.

Atlassian offers flexible work options—office, remote, or a hybrid setup—and hires people in any country where they have a legal entity. The Central AI Org is dedicated to driving AI innovation across Atlassian products, delivering seamless AI experiences and building a centralized AI infrastructure (Search, Q&A, and Conversational AI) while exploring external AI integrations. The AI & ML Platform Team aims to democratize AI and ML for Atlassian's teams, customers, and ecosystem by providing productive, reliable tools to develop, deploy, measure, and operate AI models and experiences. The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving, from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable infrastructure, optimizing latency and throughput under production workloads, building high-concurrency serving systems, benchmarking and accelerating inference engines, creating robust CI/CD for model deployment, and partnering with senior ML engineers to fine-tune open-source LLMs and deploy.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally in any country where it has a legal entity. The Central AI Org is dedicated to driving AI innovation across Atlassian products, building horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, and exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by creating productive tools to develop, deploy, measure, and operate AI/ML models and experiences. The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving, from distributed infrastructure to deep low-level optimizations like GPU kernels and quantization. Responsibilities include architecting scalable model-serving infrastructure, reducing latency and increasing throughput under production workloads, building reliable high-concurrency serving systems, benchmarking and accelerating inference engines, establishing CI/CD for model deployment, and partnering with senior engineers to fine-tune open-source LLMs for deployment.

At Atlassian, employees can choose where to work—office, home, or a hybrid arrangement—and the company can hire people in any country where it has a legal entity. The Central AI Org is dedicated to AI innovation across Atlassian products, delivering seamless AI experiences and building a centralized AI infrastructure including search, Q&A, and conversational AI, with exploration of AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by building productive, reliable tools to develop, deploy, measure, and operate AI and ML models and experiences. As a Senior ML System Engineer on the AI & ML Platform’s Inference team, you will design and optimize large-scale model serving systems end-to-end, from distributed infrastructure to low-level optimizations like GPU kernels and quantization. You will architect scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimize latency and throughput under production workloads, build high-concurrency serving systems for billions of requests, benchmark and accelerate inference engines, create CI/CD for model deployment, and collaborate with senior ML engineers to fine-tune open-source LLMs and deploy them.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Central AI Org is dedicated to driving AI innovation across all Atlassian products, aims to develop horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, and to explore AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI and ML by building productive tools that enable Atlassian teams, customers, and the ecosystem to develop, deploy, measure, and operate AI/ML models and experiences. As a Senior ML System Engineer on the Inference team, you will design and optimize large-scale model serving end-to-end, covering distributed infrastructure and deep low-level optimizations like GPU kernels, quantization, and speculative decoding. You will architect scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimize latency and throughput under production workloads, build high-concurrency serving systems, benchmark and accelerate inference engines, create CI/CD for deployments, and partner with senior ML engineers to fine-tune open-source LLMs for deployment.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. They are seeking a Senior Machine Learning Engineer to join the Agentic Search team within Search Relevance to build agentic search systems that help people and AI agents discover enterprise knowledge, reason through complex questions, and accomplish tasks across products and tools. The role involves delivering agentic search capabilities via APIs and the Model Context Protocol, building benchmarks, enabling trustworthy comparisons, and improving the full search system—from interpreting user intent to tool selection and evidence-based adaptation. You’ll own projects end-to-end, collaborate across product, search, and AI teams, mentor engineers, and help evolve engineering practices with AI tools. The candidate should have a CS degree (or equivalent), 4+ years of production ML experience, strong Python skills, and experience with LLMs, NLP, or information retrieval; additional preferred experiences include API design, agent evaluations, retrieval-augmented methods, and distributed cloud ML environments.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. They are hiring a Senior Machine Learning Engineer to join the Agentic Search team within Search Relevance to build agentic search systems that help users and AI agents discover enterprise knowledge, reason about questions, and perform tasks across products and tools. The team integrates enterprise search into Atlassian products, third-party AI assistants, and developer workflows, using intent interpretation, search planning, tool use, and adapting to new evidence, guided by rigorous evaluation and benchmarks. Responsibilities include delivering agentic search capabilities via APIs and protocols like the Model Context Protocol (MCP), building reproducible benchmarks, improving the full search system from model behavior to interfaces, and owning projects end-to-end with collaboration across product, search, and AI teams. Required background includes a CS degree or equivalent, 4+ years of ML production experience, strong Python, experience with LLMs/AI agents/retrieval/NLP, designing experiments and evaluation, daily use of AI tools, and understanding the ML lifecycle, with preferred extras like building tool-using agents, MCP/API design, and distributed/cloud ML experience.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where they have a legal entity. They’re seeking a Senior Machine Learning Engineer for the Agentic Search team to build systems that help people and AI agents discover enterprise knowledge, reason through complex questions, and accomplish tasks across products and tools. The role sits in Search Relevance and focuses on interpreting intent, planning searches, using tools, and adapting to new evidence, with rigorous evaluation guiding development and a blend of applied research with production engineering. You’ll build agentic search capabilities via APIs and protocols like MCP, create reproducible benchmarks, diagnose failures, and collaborate across product, search, and AI teams, owning projects end-to-end and helping evolve engineering practices including the use of AI tools. Requirements include a degree or equivalent, 4+ years of ML experience, strong Python skills, experience with LLMs/info retrieval/NLP, designing experiments and evaluating models, daily use of AI tools, understanding the ML lifecycle, and the ability to lead ambiguous technical projects; additional preferred experience includes building agents/tools, API design, reproducible benchmarks, hybrid retrieval, LLM fine-tuning, and cloud ML environments.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. They are seeking a Senior Machine Learning Engineer for the Agentic Search team within Search Relevance to build systems that help people and AI agents discover enterprise knowledge and accomplish tasks. Responsibilities include delivering agentic search capabilities via APIs and protocols like the Model Context Protocol, building evaluation benchmarks, and iterating based on results to improve search behavior, tool use, and interfaces. The role requires owning projects end-to-end from problem definition to deployment, using AI tools for prototyping and learning while respecting enterprise permissions and data boundaries, and collaborating across product, search, and AI teams. Required background includes a CS degree or equivalent, 4+ years of ML experience, strong Python, experience with LLMs/IR/NLP, experimental design and evaluation, and the ability to lead ambiguous technical projects; desirable extras include experience building tool-using agents, API design, reproducible benchmarks, and cloud ML environments.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. The Senior Machine Learning Engineer for Agentic Search will build agentic search systems that help people and AI agents discover enterprise knowledge, reason through complex questions, and accomplish tasks across products and tools. The role sits in the Search Relevance team, which brings enterprise search into Atlassian products, third-party AI assistants, and developer workflows, focusing on interpreting intent, planning searches, using tools, and adapting as new evidence becomes available, guided by rigorous evaluation. Responsibilities include delivering agentic search capabilities via APIs and the Model Context Protocol, developing reproducible benchmarks, enabling trustworthy performance comparisons, diagnosing failures, and improving the entire search system based on evaluation results and feedback, while applying advances in LLMs and agent systems. Requirements include a bachelor’s or master’s in CS or equivalent, 4+ years in ML with production experience, strong Python, experience with LLMs/NLP, experiment design, and daily use of AI tools; preferred extras include building tool-using agents, API design for AI agents, reproducible benchmarks, semantic retrieval, and cloud ML environments.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where they have a legal entity to help teammates balance family, personal goals, and priorities. The Senior Machine Learning Engineer – Agentic Search role sits in Atlassian’s Agentic Search team within Search Relevance, building systems that help people and AI agents discover enterprise knowledge and accomplish tasks across products and tools. The team designs systems that interpret intent, plan searches, use tools, and adapt as new evidence emerges, guided by rigorous benchmarks that reflect realistic tasks and aim to improve the full search experience and interfaces. Responsibilities include delivering agentic search capabilities via APIs and Protocols like the Model Context Protocol (MCP), creating reproducible benchmarks, enabling trustworthy comparisons, improving models, tools, and interfaces, and collaborating across product, search, and AI teams while mentoring others and integrating agentic search into customer experiences. Required background includes a CS degree or equivalent, 4+ years of production ML experience, strong Python, experience with LLMs, information retrieval, or NLP, experimental design and evaluation, daily use of AI tools, and the ability to lead ambiguous projects; preferred but not required are experience building agents, APIs/interfaces for AI agents (including MCP), benchmark development, and experience with semantic/hybrid retrieval, LLM fine-tuning, and cloud ML environments like Spark, AWS, or Databricks.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity. The role is with the Spark Growth team, focusing on top-of-funnel experimentation, customer acquisition, and building AEO/SEO features to help millions discover and sign up for Atlassian products. The position emphasizes people leadership—mentoring engineers, fostering an inclusive culture, partnering with Talent Acquisition for hiring, and monitoring team health to deliver measurable customer and business value with speed and consistency. Technical leadership includes shaping long-term architecture, establishing AEO methodologies, promoting engineering excellence and system resilience, and guiding decisions to ensure scalability and maintainability. The role requires 5+ years of managing software engineering teams (including 2+ years managing other managers or senior engineers), a CS degree, strong background in distributed systems/cloud/developer tooling, experience with applied AI/ML, and collaboration with product managers, TPMs, and designers.

- Atlassian supports flexible work locations and hires in any country where it has a legal entity. - The role is on the Spark Growth team, focusing on top-of-funnel customer acquisition, experimentation, personalization, and building AEO/SEO features to help millions discover Atlassian products. - You will lead people by mentoring engineers, fostering an inclusive culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team health. - You will own team outcomes across multiple workstreams, make pragmatic prioritization and trade-off decisions, and refine agile processes to improve velocity and reliability. - Technical leadership duties include shaping architecture and AEO methodologies, championing engineering excellence and system resilience, and qualifications include 5+ years managing software teams, 2+ years managing managers or senior engineers, a CS degree or equivalent, plus experience with distributed systems, cloud infrastructure, and AI/ML.

Atlassian supports flexible work arrangements and hires globally wherever they have a legal entity. The opportunity is with the Spark Growth team, focusing on high-impact experimentation to drive top-of-funnel customer acquisition and build AEO/SEO features that help millions discover Atlassian products. Leadership responsibilities include coaching engineers, fostering an inclusive and high-performing culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team health to sustain engagement and outcomes. Technical leadership tasks involve owning architectural direction, defining long-term strategy, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. The role requires 5+ years of managing software engineering teams (including 2+ years managing other managers or senior engineers), a CS-related degree, experience with distributed systems and cloud infrastructure, and familiarity with AI/ML and cross-functional collaboration with product managers, TPMs, and designers.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where they have a legal entity. The opportunity is to join the high-impact Spark Growth team that drives customer acquisition through world-class experimentation, building top-of-funnel experiences and AEO/SEO features so millions can discover and sign up for Atlassian products. The role includes People Leadership & Team Health responsibilities (mentoring engineers, fostering an inclusive culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team well-being) and Delivery & Outcome ownership (driving multiple top-of-funnel workstreams, prioritizing trade-offs, and refining agile processes). Technical Leadership & Architecture responsibilities involve setting long-term technical direction, establishing AEO methodologies, championing engineering excellence, and ensuring system resilience and scalability. The role emphasizes meaningful early impact, data-driven decision-making, and requires 5+ years of experience managing software engineering teams, 2+ years managing other engineering managers or senior engineers, a CS degree, and experience with distributed systems, cloud infrastructure, and AI/ML systems.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The role is with the Spark Growth team, focused on world-class experimentation at scale to drive top-of-funnel customer acquisition and to build AEO/SEO features that help millions discover and sign up for Atlassian products. The position combines People Leadership & Team Health (mentoring, inclusive culture, talent hiring, and monitoring team well-being) with Delivery & Outcome ownership (driving multi-workstream execution, prioritization, and agile process improvements). Technical Leadership & Architecture responsibilities include setting the medium-to-long-term technical direction, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. Why Spark matters: meaningfully impact early, learn through data-driven experimentation, and work with metrics tied to customer impact, while candidates bring 5+ years leading software engineering teams, 2+ years managing managers or senior engineers, a CS degree or equivalent, strong distributed systems/cloud experience, and AI/ML tooling expertise.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. DX, headquartered in Salt Lake City, Utah, is a fast-growing SaaS company that helps engineering leaders build high-performing teams and collects millions of data points daily to provide insights into developer productivity for clients like Pinterest, GitHub, BNY, and Xero. DX has grown profitably, tripling its annual recurring revenue in recent years, and was recently acquired by Atlassian. Joining Atlassian will expand DX’s resources, accelerate growth and R&D, and increase impact for customers. DX emphasizes individual mastery and high performance; in practice, data engineers build and maintain data pipelines, design data models for AI Impact Reports and benchmarks, collaborate with research and engineering, ensure data quality and consistency, support ad hoc requests, and document schemas, transformations, and dependencies for self-serve analytics.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity. DX is headquartered in Salt Lake City, Utah, and is a fast-growing SaaS company that helps engineering leaders build high-performing, productive teams. The company collects millions of data points daily to power insights into developer productivity and experience for customers such as Pinterest, GitHub, BNY, and Xero. DX has scaled profitably, tripling annual recurring revenue in recent years, and was recently acquired by Atlassian to expand resources, accelerate growth and R&D, and deliver greater impact to customers. At DX, the core value is mastery—being the best at your craft—and the role involves building data pipelines, designing data models for the AI Impact Reports, DX Core 4 benchmarks, and industry-facing publications, collaborating with research and engineering, ensuring data quality, supporting ad hoc requests, and documenting schemas and processes for self-serve access.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever there is a legal entity. - The Product Data Engineering (DE) organization is seeking a Senior Data Engineer reporting to the Senior Data Engineering Manager. - The role focuses on designing premier data architecture to drive strategic decision-making, translating operational needs into technical requirements, and leading initiatives to improve system efficiency. - Responsibilities include partnering across engineering, mentoring junior engineers, building scalable data solutions, developing ELT/ETL pipelines for large-scale and specialized datasets, designing robust data models, implementing data quality frameworks, owning the end-to-end data lifecycle, participating in on-call rotations, and enabling rapid, self-service data consumption by software teams. - The position requires collaboration with leadership, product engineers, program managers, and data scientists to understand and prioritize business data requirements.

Atlassian supports flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. The Senior Data Engineer in the Product DE organization will design premier data architecture and solutions to drive strategic decision-making. The role involves collaborating with leadership, product engineers, program managers, and data scientists to understand and prioritize business data requirements and spearheading company-wide efficiency initiatives. Responsibilities include partnering across engineering teams, mentoring junior engineers, designing scalable data solutions, building ELT/ETL pipelines, creating robust data models, implementing data quality frameworks, and owning the end-to-end data lifecycle, including on-call support. They will work with software engineering teams to build next-generation data systems that enable rapid, self-service data consumption.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. The Product DE organization is seeking a Senior Data Engineer who will design premier data architecture and lead initiatives that drive strategic decision-making. The role involves collaborating with business stakeholders to translate operational needs into technical requirements, partnering across engineering to execute high-impact initiatives, and mentoring junior engineers. You will design scalable, high-performance data solutions, develop ELT/ETL pipelines for large-scale and specialized datasets, build robust data models, implement data quality frameworks, and own the end-to-end data engineering lifecycle. Additionally, you will participate in on-call rotation and work with software engineering teams to build next-generation data systems enabling rapid, self-service data consumption.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The company is seeking a Senior Data Engineer in the Product Data Engineering (DE) organization to design premier data architecture and drive strategic decision-making while translating operational needs into technical requirements and improving overall system efficiency. The role includes partnering across engineering to lead high-impact, company-wide initiatives, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to prioritize business data requirements. You will develop scalable, high-performance data solutions, including ELT/ETL pipelines for large-scale and specialized datasets, robust data models, and data quality frameworks with end-to-end lifecycle ownership. The position also requires participating in on-call rotations for platform stability and partnering with software engineering to build next-generation data systems enabling rapid, self-service data consumption.

Atlassian offers flexible work choices—office, home, or a hybrid arrangement—and hires in any country where the company has a legal entity. The Product Data Engineering organization is seeking a Senior Data Engineer who reports to the Senior Data Engineering Manager. The role focuses on designing premier data architecture and solutions that drive strategic decision-making, while translating operational needs into technical requirements and driving efficiency initiatives. Key responsibilities include partnering across engineering teams, mentoring junior engineers, collaborating with leadership and data scientists to prioritize data needs, and building scalable data solutions, ELT/ETL pipelines, robust data models, and data quality frameworks. Additional duties involve owning the end-to-end data engineering lifecycle, participating in on-call rotations for platform stability, and working with software teams to develop next-generation self-service data systems.

Atlassian allows employees to work in an office, from home, or in a hybrid arrangement, and can hire people in any country where it has a legal entity. The Senior Data Engineer in the Product DE organization will design premier data architectures and solutions that support strategic decision-making, translating operational needs into technical requirements and leading initiatives to improve system efficiency. The role involves partnering with engineering teams to drive company-wide initiatives, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to understand and prioritize business data needs. You will design scalable, high-performance data solutions, develop ELT/ETL pipelines for large-scale and specialized datasets, create robust data models for fast storage and retrieval, implement data quality frameworks, and own the full data engineering lifecycle for your team’s solutions. You will participate in on-call rotations to maintain platform stability and work with software engineering teams to build next-generation data systems for rapid, self-service data consumption.

At Atlassian, employees can work from an office, remotely, or in a hybrid arrangement, giving them flexibility to support family, personal goals, and other priorities, and the company hires in any country where it has a legal entity. The Product DE organization is seeking a Senior Data Engineer to design premier data architecture and translate business needs into technical requirements while driving overall system efficiency. Responsibilities include partnering across engineering to lead high-impact initiatives, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to prioritize business data requirements and expectations. The role requires designing scalable data solutions, building efficient ELT/ETL pipelines for large and specialized datasets, creating robust data models, implementing data quality frameworks, and owning the end-to-end data engineering lifecycle, including on-call rotation for platform stability. Additionally, you will partner with software engineering teams to build next-generation data systems that enable rapid, self-service data consumption.

At Atlassian, employees can work from an office, home, or a hybrid arrangement, and the company hires globally where it has a legal entity. The Product DE organization is seeking a Senior Data Engineer who will design premier data architecture and translate operational needs into technical requirements. The role includes leading high-impact, company-wide initiatives, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to prioritize data requirements. Responsibilities encompass designing scalable data solutions, developing ELT/ETL pipelines for large and specialized datasets, crafting robust data models, implementing data quality frameworks, and owning the end-to-end data engineering lifecycle. Additional duties involve on-call participation for platform stability and partnering with software teams to build next-generation data systems enabling rapid, self-service data consumption.

Atlassian offers flexible, distributed work with virtual interviews and hires in any country where the company has a legal entity, with more details at go.atlassian.com/distributed. The Intern Program combines hands-on training, mentorship, and opportunities to work with AI that are shaping the future of product management, preparing students for a successful and impactful career at Atlassian. The role is located in the Pacific Time Zone and requires availability to work there; it is not eligible for F1 or J1 visa holders and does not offer work sponsorship. From day one, interns will work with product, design, and engineering teams, interact with customers and partners, turn insights into actionable plans, research competitors and AI tools, and build prototypes to explore solutions. Applicants must be enrolled full-time in a technical degree program with expected graduation by June 2028, returning to the program after the internship, and able to commit to a 40-hour-per-week schedule.

- Atlassian supports flexible, distributed work with virtual interviews and hires in any country where it has a legal entity. - The Atlassian Intern Program combines hands-on training, mentorship, and exposure to innovative technologies like AI that are shaping the future of product management, aiming to launch students into impactful careers. - The internship role is in the Pacific Time Zone and requires ability to work there; it is not eligible for F1/J1 students and does not offer sponsorship. - Interns will collaborate with product, design, and engineering teams, speak with customers and partners, translate insights into actionable plans, research competitors and AI tools, and prototype solutions. - Applicants should have an interest in analyzing technology products and markets, translating insights for engineering, and applying AI, with eligibility including full-time technical degree enrollment, return-to-program after the internship, expected graduation by June 2028, and a 40-hour workweek.

Atlassian allows flexible work locations—office, home, or a hybrid model—and hires globally with virtual interviews and onboarding as part of its distributed-first approach. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies backed by data-driven insights to respond to market dynamics, drive sustainable growth, and increase market share while improving customer experiences. Atlassian is seeking a Principal Strategist to develop the Public Sector GTM strategy, employing qualitative and quantitative methods to identify opportunities and design initiatives that drive P&L growth from Public Sector customers. The role is an individual contributor who will partner with Public Sector sales and product executives and other stakeholders to craft actionable GTM plans, conduct due diligence, and analyze information to meet revenue targets. You will lead multi-layered stakeholder management, influence across all levels from front lines to C-suite, and build trust to marshal cross-functional resources and deliver scalable value across Atlassian and the System of Work.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies driven by data insights to uncover growth opportunities, optimize the sales process, and increase market share. Success is measured by profitability, market share, and customer delight, with a focus on delivering sustainable, monetizable advantages in the market. Atlassian is seeking a Principal Strategist to develop the GTM strategy for Public Sector, using qualitative and quantitative methods to evaluate opportunities and design initiatives that fuel P&L growth and deliver scalable value. The role requires an independent, highly capable contributor who partners with Public Sector leadership, conducts internal and market due diligence, leads cross-functional stakeholder management, and influences across all levels from frontline to C-suite to secure resources and execute the strategy.

The role is a highly strategic, analytical, and execution-focused Program Manager responsible for leading complex, cross-functional transformation initiatives across Product, GTM, Strategy, and Operations, with ownership, structured problem-solving, executive communication, and the ability to bring clarity in ambiguous environments. You will design and manage a unified transformation operating model and portfolio, maintain a single source of truth across Product, Sales, Success, Strategy, and Operations, and use Atlassian tools to deliver integrated roadmaps and cross-vector dependency tracking for visibility and alignment. You will own program outcomes end-to-end, including success metrics and alignment to strategic goals, surface risks early, manage interdependencies to protect timelines, and synthesize data into actionable insights and reports on performance, health, and progress. You will apply strategic problem-solving, systems thinking, and data-driven decision-making to identify root causes, resolve obstacles, and provide recommendations that improve impact, efficiency, and organizational outcomes, while effectively communicating with executive stakeholders. You will lead the translation of strategy into actionable plans, establish governance and planning rituals, create program charters and LRP mappings, drive quarterly planning and backlog prioritization, and ensure initiatives are properly sequenced, staffed, and funded.

The role is for a highly strategic, analytical, and execution-driven Program Manager to lead complex cross-functional transformation initiatives across Product, GTM, Strategy, and Operations, bringing clarity and momentum to ambiguous environments. You will design and manage a unified transformation operating model that aligns teams, drives accountability, and accelerates business outcomes, maintaining a single source of truth across Product, Sales, Success, Strategy, and Operations, and using Atlassian tools for integrated roadmaps and cross-vector dependency tracking. You will own end-to-end program outcomes, including success metrics and alignment to strategic goals, surface risks early, manage interdependencies to protect timelines, and collect data to produce actionable insights and progress reports. You will apply strategic problem-solving, data-driven decision-making, and systems thinking to identify root causes, propose actionable solutions, resolve obstacles, and improve efficiency while communicating effectively with diverse audiences and influencing executive stakeholders. You will lead structured program management and execution, including creating charters and problem statements, mapping LRPs, leading quarterly planning (SteerCo), managing backlog, governance with DRIs, and ensuring initiatives are aligned to broader business goals.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. They’re looking for a Principal Fullstack Software Engineer to join, with this position based in Vancouver, Canada. The role involves understanding the user journey, collaborating with product, design, and engineering to shape product strategy, and guiding the technical direction of large-scale features. You will evaluate trade-offs between correctness, robustness, performance and customer impact; debug inefficiencies; ship well-tested, secure, reliable, and maintainable code; contribute to code reviews, documentation, and complex bug fixes with security and performance in mind; and mentor teammates while raising the team's capabilities. You’ll also work to improve the growth engineering team and identify blockers to engineering excellence through design principles, unit testing, performance engineering, and security/privacy best practices.

Atlassian offers flexible work options, letting employees work from an office, from home, or in a hybrid setup to support personal priorities. They hire globally in any country where they have a legal entity, and this particular role is being filled in Vancouver, Canada. The position is for a Principal Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include understanding user journeys, collaborating with product, design, and engineering to influence strategy, guiding the technical direction for large-scale features, evaluating trade-offs, debugging inefficiencies, and delivering well-tested, secure, maintainable code, as well as contributing to code reviews, documentation, and complex bug fixes. The role also involves mentoring teammates, improving the growth engineering team, and identifying blockers to software engineering excellence in areas like design principles, unit testing, performance, and security/privacy.

Atlassian offers flexible work locations (office, home, or a mix) and hires globally where they have a legal entity to support family, personal goals, and priorities. As a Principal Engineer with a Deep Engineer archetype in Kubernetes Platform, you’ll own technically complex, high-impact outcomes from problem definition through production, bringing deep expertise in agent infrastructure and distributed systems. You’ll define the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads, and lead the architecture of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities. You’ll drive end-to-end outcomes for cross-team initiatives, advance portable cloud-native execution across GCP and AWS, and champion operational excellence and improved developer experience through self-service APIs, automation, and clear platform contracts. Success is measured by sustained outcomes such as safer workloads, faster iteration, reliable services, and broader impact across Atlassian, with mentorship and influence across geographies and product and engineering leaders.

Atlassians can work anywhere—office, home, or a mix—and the company hires in any country where it has a legal entity, giving employees more control over family, personal goals, and priorities. As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you will own technically complex, high-impact outcomes from problem definition through production, bringing deep expertise in agent infrastructure and distributed systems to shape architecture and direction. You’ll balance trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to code and operations, and you’ll influence across teams and geographies while coaching and raising engineering effectiveness. Success will be measured by sustained outcomes—safer workloads, faster iteration, reliable services, and broader leverage across Atlassian—rather than activity. Responsibilities include defining the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads; leading architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities; owning end-to-end outcomes for cross-team initiatives; advancing portable, cloud-native execution across GCP and AWS; championing operational excellence for a tier-0 platform; improving developer experience with self-service APIs and automation; and mentoring engineers to grow an inclusive, high-performing team.

At Atlassian, employees can work in-office, from home, or in a hybrid arrangement, and the company can hire people in any country where it has a legal entity. As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you own complex, high-impact outcomes from problem definition through production and bring deep expertise in agent infrastructure and distributed systems. You’ll shape the platform’s architecture and technical direction, making trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to the code and operational reality. You’ll influence across teams and geographies, partner with product and engineering leaders, raise engineers’ effectiveness through coaching and design leadership, and drive success measured by sustained outcomes such as safer workloads, faster iteration, reliable services, and broader Atlassian impact. Responsibilities include defining the technical strategy for secure, low-latency compute for AI agents and untrusted workloads; leading architecture for isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities; owning end-to-end outcomes for cross-team initiatives; advancing portable cloud-native execution across GCP and AWS; championing operational excellence; improving developer experience; and mentoring engineers to grow an inclusive, high-performing team.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires globally with virtual interviews and onboarding as part of its distributed-first culture, aiming to help customers compete in the digital economy, with a multi-billion-dollar software business serving over 300,000 paying customers. This is a people-management role in Revenue Operations: Manager of the Deal Desk for the AMER Strategic Sales segment, leading a team of Deal Managers and Senior Deal Managers handling high-value enterprise deals. You’ll oversee the quote-to-cash process, deal shaping, pricing, contract management, and booking, while providing strategic deal advisory to sales, finance, revenue, and legal, and mentoring junior analysts plus leading cross-functional projects to improve deal operations and scale contracting. Requirements include at least five years in a relevant B2B SaaS function, at least two years of people management, strong Excel skills, willingness to join daily video chats, a BS/BA, and knowledge of CPQ/QTC tools such as Salesforce, Oracle Fusion, NetSuite, JIRA, Confluence, and Docusign. Additional qualifications involve establishing governance for deal reviews and deal flow to anticipate issues, along with experience supporting customers, partners, and sellers in deal shaping, negotiations, financial modeling, and risk optimization on complex contracts.

At Atlassian, you can work from an office, from home, or a hybrid arrangement, and the company hires globally with virtual interviews as part of its distributed-first approach. This is a people-management role in the revenue operations organization, serving as Manager of the Deal Desk for the AMER Strategic Sales segment, leading a team of Deal Managers and Senior Deal Managers responsible for high-value enterprise deals. Responsibilities include guiding the end-to-end quote-to-cash process, deal shaping, quoting, pricing, terms structuring, financial analysis, contracting and booking, and providing strategic deal advisory to sales, finance, revenue, and legal while mentoring junior analysts. You will build cross-functional projects to improve deal operations, operationalize new products and pricing, and ensure client-facing documents comply with policies and regulations such as GDPR, revenue recognition, and SOX. Requirements include at least five years of experience in a B2B SaaS environment related to deal desk or revenue operations, at least two years of people management, strong Excel skills, willingness to join daily video chats, a BS/BA in a relevant field, and experience with CPQ/QTC tools and systems like Salesforce, Oracle Fusion, NetSuite, JIRA/Confluence, and Docusign, plus governance expertise for deal reviews and risk-adjusted deal flow.

At Atlassian, you can work where you want—office, home, or a mix—because interviews and onboarding are virtual, the company hires globally, and it operates as a distributed-first business with a mission to help customers win in the digital economy. This is a people-management role in Revenue Operations, serving as the Manager of the Deal Desk for the AMER Strategic Sales segment and leading a team of Deal Managers and Senior Deal Managers responsible for high-value enterprise deals. You’ll oversee deal shaping, quoting, terms structuring, financial analysis, contract management, and booking, while providing strategic advisory to sales, finance, revenue, and legal, mentoring junior analysts, and driving cross-functional initiatives to improve quote-to-cash operations. The role also requires operationalizing new products and pricing, ensuring client-facing documents comply with GDPR, revenue recognition, and SOX, and fostering continuous improvement within the team. Requirements include at least five years in a B2B SaaS-related role, two years in people management, strong Excel skills, willingness to daily video-chat, a BS/BA in a relevant field, and experience with CPQ/QTC tools and platforms like Salesforce, Oracle Fusion, NetSuite, JIRA/Confluence, and Docusign, plus governance experience for deal reviews and risk-adjusted evaluations.

At Atlassian, employees can work from an office, home, or a hybrid arrangement, and the company hires globally with virtual interviews and onboarding as part of its distributed-first approach. Atlassian aims to help customers compete in the modern digital economy and has built a multi-billion-dollar software business with hundreds of thousands of customers, millions of users, and a culture focused on customer success. This is a people-management role in Revenue Operations: Manager of the Deal Desk for the AMER Strategic Sales segment, leading a team of Deal Managers and Senior Deal Managers to support high-value enterprise deals across the quote-to-cash process. Responsibilities include building and managing the team, ensuring efficient deal execution and structure, providing strategic advisory to sales, finance, revenue, and legal, becoming an expert in deal capabilities, mentoring, leading cross-functional process-improvement projects, and ensuring compliance with GDPR, revenue recognition, and SOX. Requirements include at least five years in a relevant B2B SaaS function, at least two years in people management, strong Excel skills, willingness to participate in daily video chats, a BS/BA in a business-related field, knowledge of CPQ/QTC tools and major software, and experience in deal shaping/structuring, negotiations, financial modeling, and governance for deal reviews.

Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity, aligning with family, personal goals, and other priorities. The Mid-Market sales team manages a portfolio of mid-sized customers (200-10,000 seats), focusing on cloud-first opportunities, cross-sell and expansion, while advocating for customers to provide feedback to product and engineering. In this role you’ll own a book of about 30-40 accounts, carry a $1.5-3M annual quota, and lead a cross-functional deal team as the quarterback to create territory and account plans and serve as the primary contact. You’ll build executive relationships across IT, business, sales, and marketing; use MEDDPICC to qualify and win complex opportunities via outcome-based selling; and collaborate with channel, marketing, product, and customer success to maximize satisfaction. You’ll also source and qualify leads, forecast accurately, stay updated on industry trends and competitors, travel occasionally for meetings and events, and embody Atlassian values while guiding customers’ deployment at scale.

Atlassian offers flexible work locations—office, from home, or a hybrid approach—and hires in any country where it has a legal entity, supporting personal priorities and family goals. The Mid-Market sales team manages a portfolio of ~30-40 accounts with 200-10,000 seats and an annual quota of $1.5-3M, aiming for net-new growth and expansion. The role leads cross-functional deal teams (SDR, SE, SSE, AM, partners), builds executive relationships across IT, business, sales, and marketing, and uses MEDDPICC to qualify and close complex opportunities focused on customer outcomes. You will collaborate with channel, marketing, product, and customer success to maximize satisfaction, negotiate and price contracts, source leads, maintain a healthy pipeline, and provide accurate forecasting. Travel is occasional for customer meetings and events, and you’ll stay current on industry trends, advocate for customers by feeding feedback to product and engineering teams, and help deploy Atlassian at scale as part of the TEAM.

Atlassian offers flexible work options and hires globally wherever it has a legal entity, giving employees control over family and personal priorities. They are hiring a Lead Product Designer to join the AI Design team, focusing on AI experiences across Atlassian including the flagship Rovo product. The team is primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across Jira, Confluence, and Loom, designing AI with AI, and partnering with leadership and cross-functional teams to create a unified view of AI capabilities while advocating for the user experience. Requirements include 7+ years of enterprise software product design experience, experience with applied AI in areas like Search, AI Chat, and Agents, and being a systems thinker who can coordinate multiple teams and improve processes to accelerate adoption of new capabilities.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity. The company is seeking a Lead Product Designer to join the AI Design team, working on AI experiences across Atlassian, including Rovo, with the team primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across the Jira, Confluence, and Loom apps on applied AI, and modeling AI-driven design practices to empower the design organization. You will partner with leadership and cross-functional teams to create a unified view of AI capabilities across Atlassian, and collaborate with engineers, product managers, content designers, researchers, marketing experts, and analysts to advocate for the user experience and deliver high-quality work. Requirements include 7+ years of product design experience in complex or enterprise software, experience with applied AI in product experiences such as Search, AI Chat, and Agents, the ability to balance customer needs with business goals, market viability, and technical feasibility, and strong systems thinking to integrate multiple teams, solicit feedback, and accelerate adoption of new 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 a Lead Product Designer to join the AI Design team and work on AI experiences across Atlassian, including the flagship Rovo product. The team is primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across Jira, Confluence, and Loom on applied AI, modeling AI-enabled design practices, and partnering with leadership and cross-functional teams to unify AI capabilities across Atlassian. The ideal candidate has 7+ years of product design experience for complex or enterprise software, experience with applied AI in products like Search, AI Chat, and Agents, and strong systems-thinking skills to integrate multiple teams and improve processes to accelerate adoption of new capabilities.

Atlassian lets employees choose where to work—from office, from home, or 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 Digital & Agentic Success team aims to scale customer success through data, automation, and AI-driven orchestration by building the systems, intelligence, and operating models that turn complex signals into proactive journeys. The Agentic Success Portfolio Lead will bridge data engineering, data science, AI workflows, and customer journey orchestration to support customers at scale with digital, agentic, and human interventions. Responsibilities include building the Digital Success OS, turning product telemetry and other signals into actionable plays and handoffs, closing ownership gaps, and maintaining architecture principles and change-control processes to protect delivery momentum. You will own data foundations and pipelines, analytics and modeling, AI-agent signal design, journey orchestration, digital-to-human handoffs, and measurement/experimentation, collaborating with teams like Data Engineering, RevOps, CS AI, and Gainsight.

Atlassian supports flexible work arrangements—office, remote, or hybrid—with hiring in any country that has a legal entity, and interviews and onboarding conducted virtually as part of being a distributed-first company. The Digital & Agentic Success team is building systems, intelligence, and operating models to scale customer success through data, automation, and AI-driven orchestration, turning complex customer signals into proactive journeys. They are seeking an Agentic Success Portfolio Lead—a data-forward builder and operator—to lead the systems, telemetry pipelines, and AI orchestration layer powering the Digital Success OS, bridging data engineering, data science, AI workflows, and customer journey orchestration to support at-scale digital, agentic, and human interventions. Responsibilities include building the Digital Success OS with data flows and journey orchestration, turning telemetry and signals into plays and handoffs, closing ownership gaps, and maintaining governance to protect delivery momentum. You will own data foundation and pipelines, analytics and modeling, AI-agent signal design, journey orchestration, digital-to-human handoffs, and measurement/experimentation to demonstrate impact on adoption, engagement, and agent effectiveness.

Atlassian offers flexible work locations (office, home, or hybrid) to help employees balance family, personal goals, and other priorities, but the role requires you to be located in the UK, Germany, or the Netherlands and relocation isn’t offered. Atlassian is hiring a Pre-Sales Solutions Engineer for the Emerging Markets Team, focusing mainly on Africa, who will be a product expert in the sales cycle and help solve customers' hardest business problems with Atlassian products to close enterprise deals. In this role, you will partner with account teams and channel partners to conduct customer discovery, identify business problems, and map them to Atlassian products and solutions, including cross-product expansion. You will lead value-based demonstrations, articulate the value of the software, understand the customer’s technical needs, and gain buy-in that Atlassian is the right decision, while forging strong partnerships with sales counterparts. You will also document product feedback and competitive intelligence, advocate for internal product development, and continuously learn and refine pre-sales knowledge, solution offerings, and sales processes.

Atlassian allows flexible work locations—office, home, or hybrid—to support personal priorities, but the role must be based in the UK, Germany, or the Netherlands, and there is no relocation assistance. Atlassian is seeking a Pre-Sales Solutions Engineer for the Emerging Markets Team with a primary focus on Africa. The role is to be a product expert in the sales cycle, solve customers' hardest business problems with Atlassian products, and help close enterprise deals. Responsibilities include partnering with account teams and channel partners for customer discovery, mapping needs to Atlassian solutions, identifying cross-product opportunities, uncovering client pain points, leading value-based demonstrations, and guiding technical requirements to gain buy-in. Additional duties involve forging strong sales partnerships, documenting product feedback and competitive intelligence, advocating for product management, and continuously learning and refining pre-sales knowledge and processes.

Atlassian allows flexible work arrangements (office, home, or hybrid) but for this role you must be located in the UK, Germany, or the Netherlands, and relocation is not offered. Atlassian is seeking a Pre-Sales Solutions Engineer for the Emerging Markets Team with a focus on Africa to be a product expert in the sales cycle and help close enterprise deals. You will partner with account teams and channel partners to discover customers' current state and business problems, mapping them to Atlassian products and uncover cross-product opportunities. You will lead value-based product demonstrations, articulate the value of Atlassian software, and guide customers' technical needs to gain buy-in. You will document product feedback and competitive intelligence, advocate for development with product management, foster strong sales partnerships, and continuously learn and refine pre-sales knowledge and processes.

Atlassian supports flexible work locations, allowing staff to work from an office, from home, or a mix to balance personal priorities. The role requires you to be located in the UK, Germany, or the Netherlands, and relocation support is not offered. Atlassian is hiring a Pre-Sales Solutions Engineer for the Emerging Markets Team with a primary focus on Africa, aimed at solving customers’ toughest business problems and helping close enterprise deals. Responsibilities include partnering with account teams and channel partners to discover the customer’s current state, map their needs to Atlassian products, identify cross-product opportunities, and lead value-based demonstrations. You will also understand and guide the customer’s technical needs, forge strong sales partnerships, document product feedback and competitive intelligence, and continuously learn and refine pre-sales, product, and solution knowledge.

Atlassian offers flexible work options—office, home, or a mix—and hires globally where it has a legal entity, with this fully remote role located in British Columbia, Canada (Pacific Time alignment preferred). The company aims to be a 100-year organization and is building a world-class engineering team focused on AI and helping customers transition to the cloud, delivering value across Loom, Jira, Confluence, Trello, and Bitbucket. The role is on the Loom Integration Platform and Billing Engineering team, which builds monetization, subscription workflows, and platform-migration services to connect Loom with the Atlassian cloud and enables seamless migrations, scalable billing, and monetization experiments at global scale. You will design, build, and ship end-to-end features across the stack in a scalable cloud environment, create high-performing UI with JavaScript/TypeScript and React, develop backend microservices and REST APIs for billing and subscriptions, integrate with payment and identity systems, and ensure observability, reliability, and secure testing through agile practices and code reviews. Requirements include 2–4+ years of experience with JavaScript/TypeScript and React, backend microservices and REST APIs (Node.js, TypeScript, Java, or Python), relational or NoSQL databases, cloud platforms (AWS), Docker and CI/CD, and testing frameworks, plus strong remote collaboration skills; nice-to-haves include billing/payments experience and familiarity with GitHub/Bitbucket/Jira/Confluence.

Atlassian offers flexible work options and hires globally where it has a legal entity; this role is fully remote but must be located in British Columbia, Canada, with Pacific Time zone alignment preferred. The company aims to be a 100-year organization and is building a world-class engineering group focused on AI and helping customers transition to the cloud, delivering value across Loom, Jira, Confluence, Trello, and Bitbucket. The Loom Integration Platform & Billing Engineering team builds and scales monetization, subscription workflows, and platform migration services to connect Loom with the Atlassian cloud, enabling seamless workspace migrations and scalable billing operations. In this role you will design, build, and ship end-to-end features across the stack in a scalable cloud environment; create UI with JavaScript/TypeScript and React; implement backend microservices and REST APIs for billing/subscriptions; integrate with payment and identity systems; and maintain observability, monitoring, and security while participating in agile ceremonies and code reviews. Requirements include 2–4+ years of professional software engineering experience, proficiency in JavaScript/TypeScript and modern frontend frameworks (e.g., React), backend experience with microservices and REST APIs, databases (PostgreSQL/MySQL NoSQL), cloud platforms (AWS), containerized workflows (Docker/CI/CD), and testing frameworks (Jest/Cypress/Mocha), plus strong remote communication; nice-to-haves include billing/payments experience and familiarity with GitHub, Bitbucket, Jira, and Confluence.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country with a legal entity, with this role specifically welcoming applicants from all regions of the Netherlands. The position is Senior Solution Executive, Enterprise AI for the Benelux and Nordics regions, reporting to the Regional Head of Solution Sales for the Teamwork Collection. You will own a named enterprise account territory across Benelux and Nordics, developing and executing a consultative sales strategy to drive adoption of Atlassian’s Teamwork Collection (AI-powered suite including Jira, Confluence, Loom, and Rovo). You’ll collaborate cross-functionally with Account Executives, SDRs, Solution Engineers, strategic partners, and Customer Success to uncover expansion opportunities, articulate the integrated value against competitors, and feed competitive and product insights back to engineering while managing the pipeline in Salesforce. Atlassian highlights its 350,000+ customer base and promotes a unselfish, team-first leadership culture within its GTM organization.

Atlassian offers flexible working options (office, remote, or hybrid) and hires in any country with a legal entity, welcoming applicants from all regions of the Netherlands for this role. They’re seeking a Senior Solution Executive, Enterprise AI for the Benelux and Nordics regions, reporting to the Regional Head of Solution Sales for the Teamwork Collection. Atlassian supports 350,000+ organizations, including KLM/Air France, Mercedes, and NatWest, with the AI-powered Teamwork Collection that connects goals, work, and knowledge across Jira, Confluence, Loom, and Rovo. The role involves owning a named enterprise territory, leading end-to-end consultative sales to drive adoption of Teamwork Collection, positioning it against competitors, and collaborating cross-functionally to uncover expansion opportunities and feed customer insights back to product and engineering. You’ll manage pipeline and territory planning in Salesforce, communicate progress and blockers clearly, and demonstrate unselfish, team-first leadership aligned with Atlassian’s GTM culture.

Atlassian supports flexible work arrangements, allowing employees to work in-office, from home, or a hybrid, with virtual interviews and onboarding as part of being a distributed-first company and the ability to hire in any country where they have a legal entity. The company’s growth in the service management market is accelerating, led by Jira Service Management, with channel partners playing an essential role in customer success. The Sr. Partner Solutions Architect will join an established team to help Solution Partners build an enterprise-focused JSM service business and professional services, collaborating with Partner & Alliance teams, partner managers, marketing, sales, and product. Responsibilities include developing the solution acceleration strategy, creating collateral such as ESM solutions, blueprints, and reference architectures, and supporting partners through the deal cycle with technical expertise and thought leadership. The role also involves developing partner account strategies, sharing resources and market feedback with product management, delivering enablement workshops, and representing Atlassian at conferences and partner events to drive partner success.

At Atlassian, employees can work wherever they prefer—office, home, or a mix—while the company hires in any country with a legal entity, and interviews and onboarding are conducted virtually as part of being distributed-first. The company is growing in the service management market, driven by Jira Service Management, and channel partners are essential to that growth. They are seeking a Sr. Partner Solutions Architect to help grow channel partners focused on service management, leveraging pre-sales to post-sales experience and architectural skills. The role involves working in the Partner Solutions Acceleration team to develop strategy, create collateral, support deals at all stages, and partner with Channel teams to craft compelling account strategies within the partner community. It also includes feeding product feedback, delivering technical enablement workshops, and providing thought leadership while representing Atlassian at conferences and partner events.

Atlassian supports distributed work, allowing employees to work in an office, from home, or in a hybrid arrangement, with virtual interviewing and onboarding and hiring in any country where they have a legal entity. The company is accelerating in the service management market, led by Jira Service Management, with channel partners playing a critical role in customer success. They are seeking a Sr. Partner Solutions Architect to help grow ITSM/ESM channel partners and build an enterprise-focused JSM services business. Responsibilities include developing a solution acceleration strategy, creating collateral and reference architectures, supporting partners through deals from sourcing to post-sales, and collaborating with Channel teams to drive JSM adoption. They will also contribute to evolving practices, provide market feedback to product management, deliver partner enablement workshops, and participate in thought leadership and partner events.

Atlassians can work in the office, from home, or in a hybrid setup, with interviews and onboarding conducted virtually as part of being a distributed-first company; this remote role requires you to be located in the UK or NL. The role is a Sales Development Representative who partners with Account Executives to build and maintain the Mid-Market sales pipeline, working in close coordination with Sales Operations and Marketing, and reporting to a Sales Development Manager. Key responsibilities include outbound prospecting, carrying quotas, and converting prospects into pipeline, as well as qualifying customer leads through proactive outreach and research. You will conduct cold calls, emails, and other outreach to engage decision makers, collaborate with sales, marketing, partner and operations teams to develop lead generation strategies, navigate objections with value-driven messaging, and articulate the product’s value proposition. You will establish communication with prospects, craft personalized emails, build your pipeline with Enterprise Advocates and Enterprise Marketing teams, and use tools such as Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians can work in an office, from home, or in a hybrid arrangement, with hiring across any country where the company has a legal entity and interviews and onboarding conducted virtually as part of being distributed-first. This role is a remote position that requires the candidate to be located in the UK or the Netherlands to help teams work together effectively. The Sales Development Representative (SDR) works with Account Executives to build and manage the Mid-Market sales pipeline, in coordination with Sales Operations and Marketing, and reports to a Sales Development Manager. Key responsibilities include outbound prospecting, qualifying leads, conducting cold calls and emails, developing lead-generation strategies with cross-functional teams, overcoming objections with value-driven messaging, and articulating the product's value proposition. You will build your pipeline in partnership with Enterprise Advocates and Enterprise Marketing teams and use tools such as Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians can work flexibly from an office, home, or a mix, as part of being a distributed-first company where interviews and onboarding are conducted virtually. This role is remote but must be located in the UK or Netherlands, and the company does not offer visa sponsorship; candidates must have the right to work there without sponsorship. The position is Sales Development Representative for the Mid-Market segment, partnering with Account Executives to build a sales pipeline, in coordination with Sales Operations and Marketing, and reporting to a Sales Development Manager. Responsibilities include outbound prospecting, quota carrying, converting leads into pipeline, qualifying leads via proactive outreach, and conducting cold calls and emails to engage decision makers; collaborate with sales, marketing, partners, and operations to develop lead generation strategies; navigate objections with value-driven messaging; and articulate the value proposition of the products. Candidates should have experience engaging prospects, writing personalized emails, building pipelines with Enterprise Advocates/Enterprise Marketing, and using tools such as Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians can work from the office, home, or a hybrid, as part of a distributed-first company with virtual interviews and onboarding, and this is a remote position that requires being located in the UK or Netherlands, with no visa sponsorship offered. The role is for Sales Development Representatives who partner with Account Executives to build a Mid-Market sales pipeline, working closely with Sales Operations and Marketing and reporting to a Sales Development Manager. Responsibilities include outbound prospecting with a quota, qualifying leads through proactive outreach and research, and performing cold calls and emails to engage decision makers. You’ll collaborate with sales, marketing, partner, and operations teams to develop lead generation strategies, navigate objections with value-driven messaging, and articulate the value proposition of Atlassian’s products. The ideal candidate will have experience engaging prospects, writing personalized emails, building a pipeline with Enterprise Advocates and Enterprise Marketing teams, and using tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians offer flexible work arrangements and can hire globally where we have a legal entity, with interviews and onboarding conducted virtually as part of our distributed-first approach. This is a remote role that requires you to be located in the UK or Netherlands, and we cannot offer visa sponsorship; candidates must have the right to work there. In this role, Sales Development Representatives partner with Account Executives to build a mid-market sales pipeline while ensuring a delightful customer experience, reporting to a Sales Development Manager and coordinating with Sales Operations and Marketing. You will be accountable for outbound prospecting, a quota-bearing role, converting leads into pipeline by qualifying customer business leads through proactive outreach and research, and conducting cold calls and other outreach to engage decision makers, while collaborating with sales, marketing, partner, and operations teams to develop lead generation strategies and navigate objections with value-driven messaging. You will articulate the value proposition of our products, write personalized emails to delight customers, build your pipeline with Enterprise Advocates and Enterprise Marketing teams, and work with Salesforce, Gong, Outreach, and LinkedIn Navigator.

1) Atlassians can work flexibly—office, home, or hybrid— with interviews and onboarding conducted virtually as part of a distributed-first approach. 2) This remote position requires being located in the UK or Netherlands, and we cannot offer visa sponsorship; candidates must have the right to work there without sponsorship. 3) The role is Sales Development Representative, partnering with Account Executives to build the Mid-Market sales pipeline in coordination with Sales Operations and Marketing, and reporting to a Sales Development Manager. 4) Responsibilities include outbound prospecting, a quota-carrying role, qualifying leads through proactive outreach and research, conducting cold calls and emails to engage decision makers, collaborating with sales, marketing, partners and operations to develop lead generation strategies, navigating objections with value-driven messaging, and articulating the product value proposition. 5) You will build your pipeline with Enterprise Advocates and Enterprise Marketing teams and work with Salesforce, Gong, Outreach, and LinkedIn Navigator.

- Atlassian offers flexible work options (office, home, or a hybrid approach) and hires in any country where it has a legal entity. - They are seeking a Principal Fullstack Software Engineer to join the team, with the position based in Vancouver, Canada, focused on delivering creative improvements for engineering teams. - Responsibilities include understanding the user journey and collaborating with product, design, and engineering to influence product strategy and guide the technical direction of large-scale features. - The role requires evaluating trade-offs between correctness, robustness, performance, and customer impact, debugging team inefficiencies, and shipping well-tested, secure, reliable, and maintainable code with the customer’s best interests in mind. - Additional duties include contributing to code reviews, documentation, and complex bug fixes with security and performance considerations, mentoring teammates, improving the growth engineering team, and identifying blockers to uphold software engineering excellence (design principles, unit testing, performance engineering, and security/privacy best practices).

At Atlassian, employees can work in an office, from home, or a mix, giving them flexibility to balance family, personal goals, and priorities, and the company hires in any country where it has a legal entity. They’re seeking a Principal Fullstack Software Engineer to join the team, passionately focused on delivering creative improvements for engineering teams, with the position based in Vancouver, Canada. The role involves understanding the user journey and funnel, and collaborating with product, design, and engineering to influence product strategy and direction. You will guide the technical direction and implementation of large-scale product features, evaluate trade-offs for correctness, robustness, performance, and customer impact, debug inefficiencies, ship well-tested and secure code, and contribute to code reviews, documentation, and complex bug fixes with security and reliability in mind. You will mentor teammates, help grow the growth engineering team, and identify blockers to ensure software engineering excellence in design principles, unit testing, performance engineering, and security/privacy practices.

DX is a fast-growing SaaS company based in Salt Lake City that analyzes developer productivity data for major customers and recently grew ARR while being acquired by Atlassian. By joining Atlassian, DX aims to accelerate growth, R&D, and customer impact, and values individual mastery as the key to performance. The text describes Atlassian’s flexible work policy and intent to hire in countries with legal entities, with a specific focus on expanding DX’s presence in EMEA through an EMEA Marketing Lead who acts as a bridge between regional needs and global marketing. The EMEA Marketing Lead will own accounts and field partnerships, messaging, events, webinars, and growth experiments, tailoring programs to the region and coordinating with AEs, demand gen, events, and the Field CTO—a founding-marketer role. In the first 6 months, success looks like establishing a working view of top EMEA target accounts, building relationships, planning executive programs, creating regional account engagement plans, and generating early traction through regional webinars and improved campaign relevance.

DX is a Salt Lake City–based, fast-growing SaaS company that collects millions of data points daily to improve developer productivity and serves customers like Pinterest and GitHub; it has grown profitably and recently secured acquisition by Atlassian to accelerate growth and R&D and deliver greater customer impact. Atlassian’s flexible work policy enables DX to operate across offices, home, or hybrid, and the EMEA Marketing Lead role aims to expand DX’s presence in Europe, serving as the connective tissue between the region and global DX marketing. The role entails owning target accounts in EMEA, partnering with AEs to create account engagement plans, and executing a mix of plays (executive roundtables, dinners, direct mail, ABM touches, and more) to reach priority accounts. It also covers messaging and market intelligence—ensuring regional resonance by adapting assets and identifying gaps in case studies, product marketing, and website content—plus managing events and executive programs, coordinating regional webinars, and shaping regional programming around global moments to generate pipeline, as well as pursuing growth experiments to test new channels and partnerships. In the first six months, success means building an understanding of top accounts and key relationships, planning at least one executive program, creating regional account engagement plans with defined plays, and launching 2–3 campaign adaptations; by months 3–5, hosting a regional webinar with measurable attendance, achieving higher-touch regional engagement, and feeding market intelligence back to PMM and demand gen to guide priorities.

GitLab is an AI-powered DevSecOps platform that boosts developer productivity, efficiency, security, and digital transformation, trusted by 50 million+ users and over 50% of the Fortune 100, with AI embedded as a core productivity multiplier. The company emphasizes a high-performance, values-driven culture where careers accelerate, innovation flourishes, and every voice is valued. The role of Strategic Account Executive for Germany involves owning a portfolio of top customers and prospects, driving net-new and expansion opportunities through a consultative, end-to-end sales approach and collaboration with cross-functional teams and channel partners. Responsibilities include managing strategic public sector accounts, conducting solution selling, understanding customer metrics, planning and executing rollouts, delivering formal proposals, and feeding customer feedback into GitLab’s product/tracking processes. Requirements include selling into complex organizations with quota overachievement, strong communication and presentation skills, deep knowledge of Git/ALM, willingness to travel, and alignment with GitLab’s values, with remote, globally hire-friendly policies and comprehensive benefits.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million users and trusted by a large portion of the Fortune 100, with a culture that treats AI as a core productivity multiplier. The company is hiring a Strategic Account Executive for Germany to own a portfolio of its largest customers and prospects, drive new enterprise acquisition and expansion through consultative selling, and represent customer feedback in GitLab’s public issue tracker. Responsibilities include end-to-end sales management, coordinating with Solutions Architects, Customer Success, Professional Services, executives, partners, and channel, building strategic account plans, understanding customer metrics, and ensuring rollout and adoption of GitLab products. Requirements include selling into complex organizations, consistent quota attainment, strong communication and presentation to C-level executives, solutions selling, and deep knowledge of Git, software development tools, and application lifecycle management, along with willingness to travel and alignment with GitLab values. GitLab offers benefits such as health, finances, PTO, ERGs, equity, growth, and parental leave, supports remote global hiring with some location-based eligibility, and maintains an equal opportunity, non-discrimination policy encouraging applicants from diverse backgrounds.

GitLab is an intelligent DevSecOps orchestration platform that increases developer productivity, efficiency, security, and digital transformation, trusted by more than 50 million users and a majority of Fortune 100 companies, with AI embedded as a core productivity multiplier. The company is hiring a Strategic Account Executive for Germany to own a portfolio of large strategic customers and prospects, drive net-new enterprise adoption, and collaborate with pre- and post-sales, partners, and channel to enable full-cycle sales and customer feedback. Responsibilities include managing end-to-end sales, leveraging solution selling, understanding customer performance metrics, expanding industry knowledge, conducting root-cause analysis, and leading account planning and rollout/adoption with cross-functional teams. Requirements include experience selling into highly complex organizations, consistent quota overachievement, excellent communication to C-levels, competency in solution selling and Git/ALM tools, willingness to travel, and alignment with GitLab values. GitLab offers benefits such as flexible PTO, equity/stock plan, parental leave, growth funds, and an inclusive culture, with remote global hiring and location-specific guidelines, plus a Recruitment Privacy Policy and a firm commitment to equal opportunity and non-discrimination.

GitLab is presented as an intelligent, AI-enabled DevSecOps platform that boosts productivity and security, trusted by more than 50 million users and over half of the Fortune 100. The role described is Strategic Account Executive in Germany, responsible for the largest customers and prospects, driving adoption of GitLab’s AI-powered platform, and expanding within existing accounts. Responsibilities include end-to-end account management, coordinating with cross-functional teams, applying solution selling, understanding customer metrics, and feeding feedback into GitLab’s product roadmap. Requirements highlight experience selling into complex organizations, a proven quota track record, strong C-level communication, knowledge of Git and software development tools, and willingness to travel, with alignment to GitLab’s values. GitLab offers remote, global roles with benefits, equity programs, growth opportunities, and a strong commitment to equal opportunity and accommodations, noting location-based eligibility and a recruitment privacy policy.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, and security while accelerating digital transformation, trusted by over 50 million users and many Fortune 100 companies. AI is embedded as a core productivity multiplier across the company, and the culture values continuous knowledge exchange, high performance, and diverse voices. The Data Products role is a foundational 0-to-1 engineering position focused on integrating GitLab with third-party SDLC data, designing how data is ingested and modeled, and delivering dashboards and APIs for internal and external use. Responsibilities include architecting multi-system ingestion, leading integrations with Jira, Zendesk, ServiceNow, observability tools, building the Data Marketplace, defining operational readiness, translating ambiguous problems into roadmaps, and mentoring engineers to accelerate delivery. The team operates across three surfaces (Dashboard & Reporting Framework, Internal Ingestion, External Ingestion); the US salary range is $152,800–$259,200 plus benefits, with remote-friendly policies and a commitment to equal opportunity and accommodations.

GitLab is an intelligent, AI-enabled DevSecOps orchestration platform with over 50 million registered users and Fortune 100 trust, emphasizing AI as a productivity multiplier and an inclusive, all-remote culture. The role is Senior Renewals Operations Manager, an individual contributor who reports to the Director of CX Operations and serves as the Renewals team's go-to partner for processes, tooling, forecasting, consumption and subscription data, quoting, and close. Responsibilities include owning the end-to-end renewal operating model, improving renewal cadences and data quality, defining retention reporting (gross/net retention, churn, downgrades) and collaborating with Revenue Tech, Finance, and Salesforce to optimize CRM, subscription records, quotes, orders, billing, and reporting. Requirements include experience in Renewals or Revenue Ops, strong analytical and Excel/Sheets skills, knowledge of renewal forecasting and subscription mechanics, Salesforce experience, SQL preferred, and excellent cross-functional collaboration and commercial judgment. The position sits in GitLab's CX Operations team, is remote worldwide with US salary range $104,800–$176,400 plus benefits, equity, and incentives, and GitLab is an equal opportunity employer with accommodations and inclusive hiring practices.

GitLab presents itself as an AI-enabled DevSecOps platform trusted by millions and Fortune 100 companies, emphasizing increased developer productivity, security, and a high-performance culture. They are hiring a Senior Product Manager to own the Lead-to-Opportunity domain within Salesforce and the GTM tech stack, overseeing how leads are captured, scored, routed, and converted into pipeline. The role entails owning a multi-quarter internal roadmap, translating business strategy into prioritized capabilities, driving planning, maintaining domain documentation, serving as the primary voice for L2O/GTM initiatives, mentoring BSAs, and evolving the team's operating model. Requirements include 7+ years in relevant roles, deep knowledge of lead-to-opportunity processes and GTM tools, ability to engage with engineering on APIs and data models, and experience delivering end-to-end initiatives plus AI-enabled workflows and data governance familiarity. Compensation includes a United States salary range of $104,800–$176,400 (plus incentives up to 100% of base for sales roles), remote work eligibility, and benefits such as growth funds, parental leave, equity, and a strong commitment to equal opportunity.

GitLab is described as an intelligent DevSecOps platform used by over 50 million users and trusted by more than half of the Fortune 100, with AI embedded as a core productivity multiplier and a culture that values knowledge exchange and every voice. The Monetization role focuses on credit-based and consumption-based offerings, owning the usage billing pipeline (metering, aggregation, rating) and working with Zuora and CustomersDot to turn usage into invoiced revenue while enabling billable capabilities across GitLab.com, self-managed, and GitLab Dedicated. Responsibilities include making onboarding of new credit-consuming capabilities repeatable, partnering with product teams on instrumentation and pricing, ensuring pipeline scalability and reliability as consumption grows, owning billing defect detection, and defining metrics for billing accuracy and time to monetize. Requirements include prior experience directing consumption-based billing systems, familiarity with Zuora or similar platforms, knowledge of prepaid/commitment/credit-drawdown pricing models, cross-functional launches with Engineering, Finance, Legal, Compliance and GTM, strong asynchronous communication, and a note that AI tools are used in daily workflows. The role offers a US base salary range of $139,200–$235,200, with remote/global eligibility and location-based guidelines, plus benefits and equity, under a framework of equal opportunity and accommodations and subject to privacy policies.

GitLab is an intelligent orchestration platform for DevSecOps that aims to increase developer productivity, operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embedded as a core productivity multiplier across the team. As a Senior Contracts Manager, Commercial (EMEA), you’ll help keep GitLab’s commercial contracting moving by managing a pipeline of customer agreements, negotiating terms, and collaborating with sales and internal teams to protect GitLab’s interests, reporting to the Director of Legal and contributing to strategic enterprise deals in the region. You’ll draft and review subscription agreements, AI terms, regulatory annexes, professional services agreements, NDAs, and related documents, assess contractual risk, translate legal issues into practical options, and support sales enablement and scalable contracting through improved playbooks and templates. Required experience includes drafting, reviewing, and negotiating software or technology contracts, knowledge of tech agreements with regulatory or licensing considerations, cross-geography experience, ability to balance business goals with legal risk, and familiarity with Google Workspace and CLM tools (Ironclad a bonus); fluency in English with French as an advantage; and you must be based in the UK or Ireland. The Commercial Legal team partners with sales to support GitLab’s revenue motion, works asynchronously across time zones, and GitLab is an equal opportunity employer with policies prohibiting discrimination, offering flexible benefits, remote roles with location-based eligibility, and accommodations for disabilities, along with recruitment privacy considerations.

- GitLab is the intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with over 50 million registered users and more than half of the Fortune 100 trusting GitLab to ship better, more secure software faster. - The company embeds AI as a core productivity multiplier and asks all team members to incorporate AI into daily workflows, reflecting a high-performance, values-driven culture where every voice is valued. - The Senior Account Executive will be the primary connection to Commercial & Enterprise customers (up to 4,000 team members), owning a broad book of business and the full sales cycle from discovery to close, while articulating GitLab’s DevSecOps value and aligning it to customer outcomes and internal feedback. - Candidates should have proven enterprise software sales success, the ability to guide the buying journey, strong communication and negotiation skills, experience maintaining evidence-based pipelines and performing win/loss/root-cause analyses, and an interest in GitLab and AI; travel is expected per policy. - The role is part of a distributed, remote Commercial & Enterprise Sales team with worldwide hiring, comprehensive benefits, and a commitment to equal opportunity and accommodation for disabilities, along with privacy considerations and a focus on continuous learning and process improvement.

GitLab is an intelligent DevSecOps orchestration platform used by 50 million+ users and trusted by more than half of the Fortune 100, emphasizing AI as a core productivity multiplier and a high-performance, inclusive culture. The role is Director of Regional Sales for GitLab’s National Security Group, leading a field-based team of Account Executives to drive new and expansion revenue with US federal NSG departments and shaping offerings authorized under FedRAMP. Responsibilities include recruiting and coaching the team, owning regional pipeline and forecasts using MEDDPICC, guiding complex federal procurement with partners like Carahsoft, and expanding within large agencies for long-term platform adoption. Requirements cover experience in open source/DevOps, sales operations and CRM mastery, success in regulated environments, MEDDPICC or similar methodologies, and proven leadership of regional field-based teams with strong executive relationship management aligned to GitLab values. The NSG sales team is fully remote, with a US salary range of $148,000–$248,400 plus incentives, benefits, and equity, and GitLab emphasizes equal opportunity and location-based eligibility while encouraging candidates from underrepresented groups to apply.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, efficiency, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies. The company treats AI as a core productivity multiplier and fosters a high-performance, values-driven culture where every voice is valued and knowledge is continually shared. The Major Account Executive role in Sweden involves owning a portfolio of major accounts, driving end-to-end sales from pre- to post-sales, coordinating cross-functional resources, developing opportunities, and sharing customer feedback in GitLab’s public issue tracker to shape product direction. Requirements include experience selling into complex organizations, a track record of quota attainment, strong C-level communication, solution selling, knowledge of Git and ALM, and willingness to travel while aligning with GitLab’s values. GitLab supports global remote work with benefits like flexible PTO, equity, growth opportunities, parental leave, and a strong commitment to equal opportunity, privacy, and accommodations in recruitment.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, efficiency, security, and digital transformation, with millions of users and broad Fortune 100 adoption. The company embeds AI as a core productivity multiplier and fosters a high-performance, inclusive culture where every voice is valued. The role is Major Account Executive for the UK Public Sector, responsible for managing large strategic customers, winning new enterprise accounts, expanding GitLab's footprint, and representing customer feedback in GitLab's public issue tracker. Responsibilities include managing the full sales cycle, coordinating cross-functional teams, practicing solution selling, developing account plans, delivering proposals, and ensuring rollout and adoption with travel as needed. Requirements include experience selling into complex organizations, quota attainment, strong executive communication, knowledge of Git and ALM, alignment with GitLab's values, remote/location-flexible hiring with equal opportunity commitments, and awareness of privacy and accommodation policies.

GitLab positions itself as an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security/compliance, and digital transformation, with over 50 million users and trust from more than half of the Fortune 100. The Major Account Executive role in the Netherlands manages a portfolio of GitLab's largest strategic customers and prospects, wins new enterprise accounts, expands within existing ones, and channels customer feedback into GitLab’s public issue tracker. Responsibilities include managing end-to-end sales, coordinating cross-functional resources (solutions architects, customer success, services, marketing, executives, partners, and channel), developing account plans, and delivering quotes or proposals to drive adoption. Requirements include experience selling into complex organizations, a proven quota-attainment record, strong C-level communication, solution selling with value-based positioning, knowledge of Git and software development tools/ALM, alignment with GitLab’s values, and willingness to travel as needed. GitLab emphasizes remote, globally distributed hiring with location-based eligibility, offers comprehensive benefits, and maintains an equal opportunity, inclusive hiring stance with accommodations for applicants, encouraging candidates from diverse backgrounds even if they don’t meet every qualification.

GitLab presents itself as an AI-powered DevSecOps orchestration platform trusted by millions of users and more than half of the Fortune 100, emphasizing AI-driven productivity and an inclusive, high-performance culture. The Strategic Account Executive role in France involves owning a portfolio of strategic and enterprise accounts, winning new business and expanding within existing customers through a consultative approach and close collaboration with pre-sales, customer success, support, and channel partners. Responsibilities include leading complex sales cycles, developing structured account plans, generating and nurturing pipeline, collaborating across teams, and maintaining accurate forecasts and feedback to improve sales execution. The ideal candidate has experience with large, complex accounts, strong consultative selling, cross-functional coordination, and the ability to translate customer needs into product and marketing feedback; familiarity with Git or software development tools is helpful but not required. You’ll join a Europe-focused Strategic Sales team with travel, roles are remote with location-based eligibility considerations, and GitLab emphasizes equal opportunity and a comprehensive benefits package.

GitLab is the intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security and compliance, and digital transformation, trusted by over 50 million users and a majority of Fortune 100 companies, with AI embedded as a core productivity multiplier. The same principles in our products are reflected in our team culture, which embraces AI, values every voice, and fosters a high-performance environment driven by our values and continuous knowledge exchange. The Major Account Executive role in Germany owns a portfolio of large strategic customers and prospects, focusing on net-new enterprise accounts and expanding GitLab’s footprint through a consultative approach and coordination with cross-functional teams. Responsibilities include end-to-end sales management, leveraging resources such as Solutions Architects and Customer Success, developing strategic account plans, understanding customer metrics, and ensuring rollout and adoption of GitLab products while feeding feedback to product and marketing. Requirements include selling into complex organizations, quota overachievement, strong communication and presentation to C-level executives, solutions selling and ALM knowledge, willingness to travel, and GitLab offers remote roles with comprehensive benefits and a strong commitment to equal opportunity and inclusion, with accommodations for disabilities.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, efficiency, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embedded as a core productivity multiplier. The Director of New Business leads GitLab’s end-to-end new-logo acquisition across EMEA and AMER, guiding four manager-level leaders (EMEA, AMER, BDR, SDR) and their teams to build pipeline and exceed new-business goals. Responsibilities include owning the outbound strategy, setting quotas and coverage, building playbooks for pipeline generation to regional deal execution, forecasting, cross-functional alignment, market analysis, and fostering a positive multi-region culture. Requirements call for 8+ years of B2B software sales with 4+ years in a people-management role, regional experience (EMEA/AMER), a track record of exceeding quotas, outbound/sales-motion experience, CRM/automation proficiency, and strong leadership and communication skills, with willingness to travel. Compensation includes a US base salary range of $148k–$248.4k with up to 100% incentive, plus remote-global work and comprehensive benefits and equity; GitLab is an equal opportunity employer with inclusive hiring practices and accommodation policies.

GitLab presents itself as an intelligent DevSecOps orchestration platform that increases developer productivity, improves operational efficiency, reduces security and compliance risk, and accelerates digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embedded as a core productivity multiplier in its culture. They are hiring an Account Executive for Europe, Middle East, and Africa to connect with customers of up to 4,000 team members, own a broad enterprise book, and lead the full sales process for GitLab’s AI-enabled DevSecOps platform. Responsibilities include shaping customer journeys, building and maintaining a healthy pipeline, documenting buying criteria, collaborating across sales, success, marketing, and technical teams, supporting adoption and renewal, forecasting, and traveling as needed, with the first year focusing on building trusted relationships and delivering meaningful business outcomes. Requirements include SaaS sales experience, ability to manage a broad mid-market territory, strong relationship-building and negotiation skills, outbound prospecting, cross-functional collaboration, the ability to translate customer challenges into GitLab’s value, and fluent French; DevSecOps or development-team experience is helpful but not required. GitLab offers remote roles, flexible benefits, equity, growth opportunities, parental leave, and an inclusive, equal-opportunity workplace with accommodations and location-based eligibility considerations during recruitment.

The Senior Demo Platform Architect will own the development, maintenance, and continuous improvement of shared demo environments and reusable customer service use cases, leveraging Zendesk, Amazon Connect, and AWS. Daily responsibilities include optimizing demo environments for reliability, scalability, and security; designing and building new demo use cases that showcase contact center, CX, AI, automation, analytics, and integrations; supporting opportunity-specific configurations for presales; tracking product releases and incorporating new capabilities; driving automation, standardization, and governance. The role also requires producing technical documentation and collateral, engaging with vendors and internal stakeholders, participating in customer demonstrations and PoCs as needed, and ensuring governance, data management, cost control, and platform reliability. Qualifications include 8–10 years in solution/platform engineering or related fields, at least 5 years in contact center technologies (Amazon Connect and CRM/CX such as Zendesk), strong experience with AWS services (Lambda, Bedrock/Lex, IAM, DynamoDB, S3, API Gateway, CloudWatch), proficiency in Python and/or NodeJS, and demonstrated demo development; professional certifications like Zendesk and AWS Solutions Architect are preferred. Please note that Zendesk can hire only candidates physically located in Karnataka or Maharashtra; the company offers hybrid work, is an equal opportunity employer committed to diversity and inclusion, and may use AI or automated decision systems to screen applications.

The AI Success Strategist at Zendesk leads end-to-end delivery of customers’ AI roadmaps, translating product capabilities into clear business strategies, defining a long-term AI vision, and building executive partnerships to launch AI initiatives strongly and scale them predictably. The role’s mission is to accelerate time-to-value by driving adoption and operational excellence for Zendesk AI solutions, owning multi-year roadmaps and orchestrating cross-functional delivery to improve renewals, growth, and measurable business impact. Responsibilities include owning AI roadmap design and execution, serving as the design authority for deployments, coordinating cross-functional teams, partnering with executives on long-term AI strategy, maintaining mutual AI roadmaps, and driving data-driven adoption metrics and responsible AI practices. Qualifications include 10+ years in customer success/experience, 2+ years in AI-related roles, enterprise SaaS GTM experience in relevant roles, experience with adoption analytics, a bachelor’s degree (advanced degrees and AI strategy/project mgmt certs preferred), and AI domain knowledge as a plus. Compensation is US OTE $185k–$277k with a 70/30 base/commission mix (bonus/benefits possible); Zendesk supports hybrid work, is an equal opportunity employer, and may screen applicants with AI systems while providing accommodations.

The role is Zendesk’s AI Success Strategist, a leader of the AI-powered Resolution Platform who owns the strategic AI roadmap and builds executive partnerships from day one to ensure AI initiatives start strong and scale predictably. You will own end-to-end delivery of customers’ AI roadmaps, serve as the design authority for deployments, co-create a long-term AI vision with executives, and align Product, Professional Services, Sales, Success, and Partners to drive adoption and expansion. The overarching objective is to accelerate time-to-value by driving adoption and operational excellence of Zendesk AI solutions, deliver multi-year AI roadmaps, and translate AI adoption into measurable commercial outcomes such as renewals, growth, and retention improvements. Qualifications include a minimum of 10+ years in Customer Success/Experience with 2+ years of AI-related experience, conversational English and Spanish, prior go-to-customer/GTM roles in enterprise technology/SaaS, experience using adoption and health analytics to forecast churn and expansion, a bachelor’s degree (advanced degrees or AI strategy/project management certifications preferred), and strong cross-functional influence; AI domain knowledge is a plus. Zendesk emphasizes diversity and inclusion, offers a hybrid work model, may use AI screening for applicants, is an equal opportunity employer, and provides accommodations for applicants with disabilities; interested applicants can request accommodations via the provided email.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability to operate at AI speed and scale. It is trusted by developers and engineers across 32,000 organizations, including 75% of the largest financial institutions, and features brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. Its open-source tools are downloaded more than 100 million times per month and have earned over 30,000 GitHub stars, reflecting a vibrant developer community. The role of Director of Channel Sales, International, based in Galway, Ireland, aims to grow EMEA partner sales, manage international channel managers (including leading the AWS partnership), and report to the SVP of Global Channel Partnerships. Qualifications include 8+ years in software channel sales with a proven track record, while SmartBear emphasizes growth, inclusivity, ethics, and equal opportunity across its global workforce.

SmartBear delivers application integrity for modern tech stacks with continuous, measurable assurance that software works as intended, offering deep test automation, API lifecycle management, and observability under governance that operates at AI speed and scale. With integrations across the SDLC, SmartBear sets a new quality standard for application delivery teams and is trusted by 32,000 organizations—75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft—while its open source tools are downloaded more than 100 million times per month and have earned over 30,000 GitHub stars. Its best-loved brands—Swagger, TestComplete, Reflect, QMetry, Zephyr, and more—meet customers where they are to improve the technology-driven world, with information available at www.smartbear.com or on LinkedIn, X, and Reddit. SmartBear is hiring an Account Executive to drive new business, develop net-new relationships, expand within existing clients, and participate in ongoing professional development, offering a competitive package with uncapped earnings, accelerators, and sales incentives in a collaborative environment led by experienced executives. Candidates should have 3+ years in software sales, a track record of meeting KPIs and quotas, strong communication skills, and a self-starter mindset; familiarity with LinkedIn Sales Navigator, ZoomInfo, Salesforce, and Outreach is a plus, and SmartBear emphasizes growth, inclusivity, equal opportunity, and a global footprint with offices worldwide, guided by values of being smart, open, driven, accountable, and curious.

The role seeks professionals with 2–5 years of full-cycle B2B SaaS closing experience, including 1–2 years in mid-market, MEDDPICC proficiency, and the ability to manage high deal volume while pursuing deep, strategic opportunities in a multi-product environment. Candidates should have strong executive communication skills to adapt from LOB champions to VP/C-suite in the same deal, plus AI fluency to boost productivity, research, account planning, and customer engagement, and be proficient with Salesforce, Outreach (or similar), and Gong. The company promises support, connection, and growth, with a global benefits package that typically includes equity, wellbeing benefits, a WFH equipment allowance, and an annual Learning & Development stipend, with some location-specific variations. Miro is a visual workspace for innovation, serving over 100 million users and 250,000 companies from co-headquarters in San Francisco and Amsterdam, with more than 1,600 employees across 13 hubs. Miro emphasizes diversity, belonging, and collaboration, aiming to create a welcoming, inclusive environment and protecting applicants' data under its Recruitment Privacy Policy.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity to support employees’ personal priorities. The company is hiring a Technical Head of Engineering to lead the Agent Platform, combining people management with hands-on technical leadership in applied ML, agentic systems, platform engineering, and production-grade AI. The Agent Platform Team builds foundational capabilities to make AI agents useful, secure, and scalable across Atlassian, connecting to Rovo, Teamwork Graph, Jira agent workflows, and other products to enable agentic experiences that reason over work context and orchestrate tools while ensuring security and evaluation systems. This role exists because Atlassian is heavily investing in AI-native experiences and needs a leader who can set direction, build talent, and translate AI strategy into practical platform capabilities with ML and systems depth, not just management. Key responsibilities include setting technical direction with stakeholders, leading and developing the team (including hiring), hands-on production coding, guiding decisions on ML systems and operations, establishing an operating cadence, balancing speed with quality, trust, security, and cost efficiency, and collaborating with other teams to align roadmaps and foster an inclusive, high-accountability culture.

- Atlassian supports flexible work locations and hires globally where they have a legal entity. - They’re hiring a Technical Head of Engineering to lead the Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences. - The Agent Platform Team builds foundational, reusable capabilities to make AI agents useful, secure, scalable, and integrated with products like Rovo, Teamwork Graph, and Jira agent workflows. - The role requires both strategic direction and hands-on coding—guiding ML architecture, evaluation, quality, reliability, observability, production operations, and team development while balancing speed with security, privacy, and cost. - The leader will translate AI strategy into practical platform capabilities, align roadmaps with stakeholders across Rovo, Product and platform teams, and foster an inclusive, high-accountability culture.

At Atlassian, employees can work in an office, from home, or a mix of the two, and the company can hire in any country where it has a legal entity to support staff in balancing family, personal goals, and other priorities. The role is Technical Head of Engineering for the Agent Platform, blending people-management responsibilities with deep technical leadership across applied ML, agentic systems, platform engineering, and production-quality AI experiences, and the ideal candidate is a technically strong, hands-on leader who can be an individual contributor or a people manager. The Agent Platform team builds foundational capabilities to make AI agents useful, reliable, secure, and scalable across Atlassian, connecting to Rovo, Teamwork Graph, Jira agent workflows, and other products, helping teams and customers create agentic experiences that reason over work context and orchestrate across tools. This role exists because Atlassian is investing heavily in AI-native and agentic experiences, and the platform layer is critical to making those experiences production-ready, requiring a leader who can provide direction, build talent, and establish an execution rhythm across fast-moving AI platform work, with ML and systems depth beyond people management. Key responsibilities include setting technical and execution direction with product, engineering, ML, data, and platform stakeholders; leading and developing a team (hiring, performance, career development, and team health); staying technically hands-on by writing production code; guiding decisions across applied ML systems, agent workflows, context retrieval, evaluation, quality, observability, and production operations; creating a strong operating cadence and balancing speed with trust, security, privacy, cost efficiency, and operational readiness; and partnering with leaders across Rovo, product, and platform teams to build an inclusive, high-accountability culture.

Atlassian supports flexible work locations and hires people in any country where they have a legal entity. They are hiring a Technical Head of Engineering to lead the Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences, and capable of being an individual contributor or a people manager. The Agent Platform Team builds foundational, secure, and scalable capabilities that enable AI agents to reason over work context, orchestrate across tools, and deliver meaningful outcomes across Atlassian products, while ensuring security and building evaluation systems. The role exists because Atlassian is investing heavily in AI-native and agentic experiences, requiring a leader who can translate broad AI strategy into practical platform capabilities and drive architecture, evaluation, reliability, and tradeoffs with senior engineers. Key responsibilities include setting technical direction with stakeholders; leading and developing a team (hiring, performance, career growth); writing production code; guiding decisions on ML systems, context retrieval, evaluation, observability, and production operations; establishing a strong operating cadence; balancing speed with quality, trust, privacy, cost efficiency, and operational readiness; and aligning roadmaps with Rovo, product, and platform teams while fostering an inclusive, high-accountability culture.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a combination that suits their family, personal goals, and priorities. The company can hire people in any country where it has a legal entity. Core responsibilities include People Leadership, Coaching & Talent Development, and leading Senior Specialists to attract, hire, develop, and retain a team of senior/principal (P50/P60) Solution Sales Executives covering Strategic Accounts. Deal Coaching & Mentorship involves actively coaching sellers on enterprise deal strategy, multi-threading with C-level stakeholders (CIO, CTO, CISO, VP of IT Ops/Service Delivery), and navigating procurement and security hurdles. It emphasizes methodology rigor by championing sales frameworks (MEDDPICC, Command of the Message, Value-Led Selling) and disciplined qualification throughout the sales cycle, while fostering a collaborative, inclusive, high-ownership culture aligned with Atlassian values and high-performance standards.

Atlassian lets employees choose where to work—office, home, or a mix—so they can support family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. Core responsibilities include people leadership, coaching, and talent development. There is a focus on leading a team of senior/principal Solution Sales Executives covering Strategic Accounts, with deal coaching and mentorship on enterprise strategy, multi-threading with C-level stakeholders, and navigating procurement and security hurdles. Additionally, Atlassian emphasizes methodology rigor by championing frameworks like MEDDPICC, Command of the Message, and Value-Led Selling, and aims to foster a collaborative, inclusive, high-ownership culture aligned with its values and high performance standards.

Atlassian offers flexible work options, allowing office, remote, or hybrid arrangements to help employees manage personal priorities. The company can hire people in any country where it has a legal entity. Core responsibilities include leading, developing, and retaining a team of senior/principal (P50/P60) Solution Sales Executives covering Strategic Accounts. Deal coaching and mentorship involve guiding sellers on enterprise deal strategy, multi-threading with C-level stakeholders (CIO, CTO, CISO, VP of IT Ops/Service Delivery), and navigating procurement and security hurdles. The role emphasizes methodology rigor with frameworks like MEDDPICC, Command of the Message, and Value-Led Selling, along with fostering a collaborative, inclusive, high-ownership culture aligned with Atlassian values and high-performance standards.

Atlassian offers flexible work options—office, home, or a mix—and hires globally, with interviews and onboarding conducted virtually as part of its distributed-first approach. The role focuses on analyzing objectives, customer needs, adoption inhibitors, and industry trends to define a long-term platform and product strategy and roadmaps in collaboration with stakeholders. It involves identifying architectural bottlenecks to shape multi-year technical strategies for core Sales, Commerce & Finance systems and translating complex business requirements into clear technical problems and roadmaps. The position leads cross-organizational programs such as billing modernization, legacy platform migrations, high availability, and SOX/financial controls, and identifies gaps to plan actions to realize the strategy with engineers and architects. It requires partnering across UX, engineering leaders, and cross-functional teams to align on experiences and scalable integrations, while driving governance, predictable delivery, and mentoring the Technical Program Management craft.

At Atlassian, employees can work anywhere—office, home, or a blend—because the company supports flexible work and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The role involves analyzing business objectives, customer needs, adoption inhibitors, and industry trends to define a long-term strategy and multi-year roadmaps for platform and product components in close collaboration with stakeholders. It also requires analyzing architectural bottlenecks to establish long-term technical strategy for core Sales, Commerce & Finance systems, translating complex quote-to-cash models and regulatory requirements into clear technical problems and roadmaps. You will define and lead high-impact, cross-organizational programs (e.g., billing modernization, legacy migrations, high availability, SOX controls), identify product gaps, and create action plans for capacity planning, cloud services, or new product development. The role demands partnering with UX Designers, Principal Engineers, Architects, and Engineering Directors to shape experiences, API designs, and scalable platform integrations, while driving governance, metrics, risk mitigation, cross-functional alignment, and mentoring the Technical Program Management craft.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires people in every country where it has a legal entity. - The Enterprise solution seller role focuses on Strategy Collection and JPD, working with C-level executives to drive new business and expansion. - Responsibilities include exceeding targets for Enterprise Strategy & Planning bookings and OKRs, developing strategic plans to drive land-and-expand across AMER/APAC, and closing six- to seven-figure SaaS transactions while building CXO-level relationships. - The role requires partnering with Account Executives, Solution Engineers, Advisory Services, SDRs, and channel partners to drive pipeline, plus presenting sales, revenue, and expense forecasts to management and monitoring market and competitive status. - Qualifications include 5+ years of enterprise cloud software sales, expertise in Strategic Portfolio Management/PPM/ERP/CRM, a proven track record of meeting targets, CXO relationship experience, and a BS/MS degree in business, IT, or a related field.

At Atlassian, employees can work from an office, home, or a hybrid setup, with hiring across any country where the company has a legal entity to support family, personal goals, and priorities. The role is an Enterprise solution seller focused on Strategy Collection and JPD, working with C-level executives to drive new business and expansion. Responsibilities include exceeding Enterprise Strategy & Planning bookings and OKRs targets, developing strategic plans to drive land-and-expand across AMER/APAC, and closing complex six- to seven-figure SaaS transactions while building strong CXO relationships. You will partner with Account Executives, Solution Engineers, Advisory Services, SDRs, and Channel partners to drive pipeline, present forecasts to management, and identify emerging markets and competitive status. Qualifications include 5+ years of enterprise cloud software sales, expertise in Strategic Portfolio Management, PPM, ERP, or CRM, a proven track record of meeting targets, CXO relationship leadership, collaboration with sales and channels, and a BS/MS in business, IT, or a related field.

Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity; they’re seeking a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle and help close enterprise deals. The role involves partnering with sales teams, partners, and large account teams on transformation deals in global accounts with multi-million dollar spend, and engaging with C-level executives to map customer needs to Atlassian products and solutions. You will lead value-based demonstrations, articulate the value of Atlassian software, understand the customer's technical needs, and build cross-product opportunities in collaboration with aligned account executives. You’ll track product feedback and competitive intelligence, advocate for product management, support cross-functional teams, and continuously learn Atlassian's offerings, solutions, and sales processes. Compensation includes equitable pay with geographic pay zones in the US (Zone A, B, C) and potential benefits, bonuses, commissions, and equity; pay-zone details are online and confirmed with the recruiter.

Atlassian offers flexible work locations and hires globally where it has a legal entity, giving employees more control over family and personal priorities. They are seeking a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solve customers’ hardest business problems with Atlassian products, and help close enterprise deals. Responsibilities include partnering with sales, partners, and large account teams on transformation deals; engaging with C-level executives; conducting customer discovery and mapping business needs to Atlassian products; identifying cross-product opportunities; leading value-based demonstrations; and guiding customers’ technical needs with cross-functional collaboration. The role entails gathering product feedback and competitive intelligence, advocating for internal development, and continuously learning to refine pre-sales and product knowledge and sales processes. Compensation is designed to be equitable and competitive, with US base pay zones A, B, and C ranging from $168,300-$219,725, $151,271-$197,493, and $139,506-$182,132 respectively, plus benefits, bonuses, commissions, and equity; candidates should confirm the zone with their recruiter using go.atlassian.com/payzones.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity to support employees’ personal goals and priorities. They are hiring a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solving customers’ toughest business problems with Atlassian products, and helping close enterprise deals. Responsibilities include partnering with sales teams and executives in large accounts, conducting customer discovery, mapping needs to Atlassian solutions, identifying cross-product opportunities, and leading value-based demonstrations. The role involves guiding customers’ technical needs, building ongoing relationships with aligned account executives, collecting product feedback and competitive intelligence, and continually expanding pre-sales knowledge and product offerings. Compensation varies by US geographic pay zones (Zone A, B, C) with defined base pay ranges and may include benefits, bonuses, commissions, and equity; go.atlassian.com/payzones has details, and recruiters can confirm the zone for a candidate’s location.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where they have a legal entity. The role is Senior Solutions Engineer, Strategic, focused on being a product expert in the sales cycle to solve customers’ hardest business problems and help close enterprise deals. Responsibilities include partnering with sales teams and executives in large global accounts, conducting customer discovery to map needs to Atlassian products, and leading value-based demonstrations while identifying cross-product opportunities. The role also involves building executive relationships, guiding technical requirements with cross-functional teams, and collecting product feedback and competitive intelligence for internal use, with ongoing learning to deepen product knowledge. Compensation is equitable and competitive, with base pay by geographic pay zones (Zone A: 168,300–219,725; Zone B: 151,271–197,493; Zone C: 139,506–182,132), and may include benefits, bonuses, commissions, and equity; details are available at go.atlassian.com/payzones and should be confirmed with a recruiter.

Atlassians can choose where they work — in an office, from home, or a combination. The company can hire people in any country where it has a legal entity, enabling global opportunities. The role advertised is Senior Front End Software Engineer, reporting to an Engineering Manager. The position involves collaborating with design and product management to influence the product direction, writing code, and delivering capabilities customers love to help make Atlassian the best project management tool for business teams. Key responsibilities include delivering projects autonomously from design to launch, building efficient, scalable, and high-quality client code, promoting cross-functional collaboration, partnering with design and product to create delightful experiences, and contributing to code reviews, documentation, and complex bug fixes.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix of both to better support personal goals and priorities. The company hires people in any country where it has a legal entity. They are hiring a Senior Front End Software Engineer who will report to an Engineering Manager and collaborate with design and product management to influence the product direction. The role involves writing and shipping efficient, fast, scalable, and high-quality client code that delivers value to customers and supports the goal of becoming the best project management tool for business teams. Responsibilities include delivering projects autonomously from design to launch, collaborating across engineers, designers, and managers, partnering with design and product teams, and contributing to code reviews, documentation, and complex bug fixes.

Atlassian allows employees to work from office, home, or a blend, and hires globally where it has a legal entity. The company is seeking a Senior Principal Technical Program Manager (P70) to lead strategy, architecture-informed execution, and ecosystem scaling for its core Conversational AI & Agent Platforms. The role focuses on evolving foundational interfaces, agent execution runtimes, extensible skill ecosystems, contextual memory, and policy-driven model routing, treating the AI platform as a Platform Product with robust APIs, SDKs, SLOs, and sound unit economics. Responsibilities include platform-as-a-product leadership, multi-quarter roadmaps for agent and AI architecture, large-scale migrations with zero user disruption, and governance of availability, observability, AI economics, data residency, privacy, and safety. The position also entails aligning leadership, driving disciplined decision frameworks, and mentoring TPMs to raise the bar for platform thinking, architectural depth, and execution excellence.

- Atlassian supports flexible work options (office, remote, or hybrid) and hires globally in countries where it has a legal entity. - The company is seeking a Senior Principal Technical Program Manager (P70) to lead strategy, architecture-informed execution, and ecosystem scaling for its core Conversational AI & Agent Platforms. - The role will drive the evolution of foundational conversational interfaces, agent execution runtimes, extensible skill ecosystems, contextual memory architectures, and policy-driven model routing, treating the AI platform as Platform Products with first-class developer experience, robust API contracts, and sound economics. - Responsibilities include multi-quarter roadmaps for agent loops and memory/skill orchestration, large-scale platform migrations with zero user disruption, and establishing SLOs, observability, AI cost optimization, caching, capacity planning, plus data residency, privacy controls, and AI safety guardrails. - The position requires cross-functional influence across leadership, alignment with executive stakeholders, and mentoring of TPMs to elevate platform thinking and execution excellence.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to guide customers from awareness to retention and long-term value. The role involves turning behavioral and product signals into scalable ML systems that support the growth funnel and enable more relevant customer and sales experiences, including cross-product recommendations and a unified ranking/orchestration system. You will design, build, and operate ML systems for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, while defining the strategy for evolving Atlassian’s ML capabilities. You’ll partner with product, engineering, data science, analytics, marketing, and sales to translate growth opportunities into measurable experiments and production capabilities, building datasets, evaluation frameworks, and running offline and online experiments with attention to attribution, latency, quality, and fairness. Requirements include 5+ years of ML experience, Python (plus Java/Typescript), SQL, Spark, cloud data environments (AWS/Databricks), experience with large-scale data, strong communication, agile mindset, and familiarity with contextual bandits, recommender systems, causal inference; preferred but not required: B2B/B2C SaaS or enterprise experience in growth-focused ML.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join Growth to build personalized experiences that help customers discover value and progress through the customer lifecycle. The Growth team combines product, engineering, data science, analytics, and operations to improve discovery, adoption, expansion, and retention using experimentation, personalization, and intelligent orchestration to present the right product or step at the right time. The ML Engineer will design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including data foundations, features, models, evaluation frameworks, and decisioning systems. Responsibilities include defining strategy for evolving ML capabilities to support Atlassian's goals, partnering with cross-functional teams to translate growth opportunities into measurable experiments and production capabilities, and building datasets, running offline and online evaluations, while monitoring attribution, latency, quality, and fairness to optimize durable value. Requirements include a Bachelor's or Master’s degree, 5+ years in ML, proficiency in Python (and Java/Typescript), SQL, Spark, and cloud data environments (AWS/Databricks), experience with large-scale models, dataset creation and evaluation, strong communication, an agile, pragmatic approach, and familiarity with contextual bandits, uplift modeling, recommender systems, or causal inference; bonus points for consumer/B2B SaaS experience and understanding of funnel metrics.

Atlassian offers flexible work options to balance business responsibilities and family needs. They are hiring a Machine Learning Engineer for the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle. The role focuses on turning behavioral and product signals into scalable ML systems for cross-product recommendations and a unified, value-aware orchestration of personalized journeys across surfaces like navigation, flags, and app-switcher experiences. You will design, build, and operate ML systems for personalized recommendations, activation journeys, expansion, and sales experiences, define the ML strategy, and collaborate with product, engineering, data science, analytics, marketing, and sales to translate opportunities into experiments and production capabilities while monitoring attribution, latency, quality, and fairness. Requirements include a BS/MS in CS or equivalent, 5+ years of ML experience, strong Python (plus Java/TypeScript), SQL, Spark, cloud data environments, large-scale modeling, datasets/evals, excellent communication, and an agile, pragmatic approach; familiarity with contextual bandits, uplift modeling, recommender systems, causal inference is a plus, with preferred experience in SaaS/B2B growth and personalization.

Atlassian offers flexible work options and hires in any country where it has a legal entity. The design function aims to create clarity, connection, and joy, building a unified, AI-centered experience across tools to keep customers in flow and unlock the platform’s power. The role leads design for Strategy Collection, Atlassian’s AI-native Strategic Portfolio Management suite (Focus, Talent, Align, powered by Rovo), connecting strategy, capacity, delivery work, and financials into a single living operational view in a 0-to-1, executive-sponsored space. You will define the 0-to-1 design vision, set a high bar for craft and visual polish, manage a 5–10 person design team, and partner with Product and Engineering on roadmap and prioritization while championing AI-native workflows and advocating for C-suite and portfolio-manager users. Minimum qualifications include experience scaling senior ICs and/or design managers, a portfolio showing the ability to simplify complex systems, success in nascent 0-to-1 environments, hands-on AI prototyping, and fluency in B2B/enterprise domains; preferred qualifications include AI-first experience and familiarity with SPM, OKRs, analytics, workforce planning, or financial governance platforms.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where the company has a legal entity. Atlassian’s design approach centers on clarity, connection, and joy, with AI at the core to create intuitive, human-centered interactions across tools. The role leads design for Strategy Collection, Atlassian’s AI-native Strategic Portfolio Management suite (Focus, Talent, Align, powered by Rovo), unifying strategic bets, workforce capacity, delivery, and financials into a single living view. Responsibilities include defining the 0-to-1 design vision, setting craft standards, managing 5–10 designers, partnering with Product and Engineering leadership, and championing AI-native workflows to earn trust from C-suite and portfolio managers. Qualifications include experience scaling senior ICs/managers, a portfolio demonstrating consumer-grade craft, success in nascent 0-to-1 environments, hands-on AI prototyping, and fluency in B2B/enterprise domains; preferred are AI-first backgrounds and familiarity with SPM, OKRs, analytics, workforce planning, or financial governance platforms.