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Atlassians can work flexibly from an office, home, or a mix, and the company hires in any country where it has a legal entity, with interviews conducted virtually as part of a distributed-first approach. This role is remote and must be located in the UK, and the company cannot offer visa sponsorship, so candidates must have the right to work in the UK. The position is a Sales Development Representative that partners with Account Executives to build the Mid-Market sales pipeline, in coordination with Sales Operations and Marketing, reporting to a Sales Development Manager. Responsibilities include outbound prospecting, quota-carrying duties, converting prospects into pipeline, qualifying leads through proactive outreach and research, and conducting cold calls and other outreach to engage decision makers. You will collaborate with sales, marketing, partner and operations teams to develop lead-gen strategies, navigate objections with value-driven messaging, articulate the product value, and build your pipeline with Enterprise Advocates and Enterprise Marketing, using Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians have flexibility in where they work—office, home, or a mix—while interviews and onboarding are conducted virtually as part of a distributed-first approach; this is a remote position. The role requires you to be located in the UK, and visa sponsorship cannot be offered, so candidates must have the right to work in the UK without sponsorship. Our Sales Development Representatives partner with Account Executives to build a Mid-Market sales pipeline while ensuring a delightful customer experience, in tight coordination with Sales Operations and Marketing, and they report to a Sales Development Manager. You will be accountable for outbound prospecting, quota carrying, and converting prospects into pipeline, qualifying leads through proactive outreach and research, and conducting cold calls and other outreach to engage decision makers. You will collaborate with sales, marketing, partners and operations to develop lead generation strategies, navigate objections with value-driven messaging, articulate the value proposition of our products, build personalized emails, and use tools like Salesforce, Gong, Outreach and LinkedIn Navigator in partnership with Enterprise Advocates and Enterprise Marketing teams.

Atlassian offers flexible work arrangements—office, remote, or hybrid—to help employees balance family, personal goals, and priorities. They hire people in any country where they have a legal entity. The role described is a Pre-Sales Solutions Engineer who focuses on being a product expert in the sales cycle, solving customers’ business problems with Atlassian products, and helping close enterprise deals. Key responsibilities include partnering with account teams and channel partners for customer discovery, identifying cross-product opportunities, leading value-based demonstrations, guiding customers’ technical needs, and building strong partnerships with sales. The role also involves collecting product feedback and competitive intelligence, advocating for product development, and continuously learning to improve pre-sales processes and knowledge of Atlassian products.

Atlassians can work in an office, from home, or a mix, reflecting Atlassian's flexible work options and global hiring in countries with a legal entity. Atlassian is seeking a Pre-Sales Solutions Engineer who will be a product expert in the sales cycle, solving customers' most challenging business problems with Atlassian solutions and helping close enterprise deals. The role involves partnering with account teams and channel partners to discover customer needs, map them to Atlassian products, and identify cross-product opportunities. You will be a broad Atlassian product expert, deliver value-based demonstrations, guide customers' technical requirements to gain buy-in, and foster strong partnerships with sales counterparts. It also requires collecting product feedback and competitive intelligence, advocating for internal development, and continuously learning to refine pre-sales knowledge and processes.

Atlassian offers flexible work options (office, home, or a mix) and hires people in any country where the company has a legal entity to support employees’ personal priorities. They are seeking a Pre-Sales Solutions Engineer who will be a product expert in the sales cycle, solving customers’ toughest business problems with Atlassian products and helping close enterprise deals. The role involves partnering with account teams and channel partners to conduct customer discovery, understand the current state and business problems, and map them to Atlassian products and cross-product solutions. Responsibilities include leading value-based demonstrations, articulating the value of Atlassian software, and guiding the customer’s technical needs to secure buy-in. It also entails forging strong sales partnerships, gathering product feedback and competitive intelligence for internal use, and continuously learning to refine pre-sales knowledge and processes.

Atlassian supports flexible work arrangements, allowing Atlassians to work in an office, from home, or in a hybrid setup, and hires globally where they have a legal entity. The DX Solutions Engineering Team is seeking a Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com). The role will serve as the solution expert throughout the sales cycle, focusing on solving complex business problems for Commercial/Midmarket prospects and helping close deals. Responsibilities include leading technical evaluations with Account Executives, running POCs and pilots, conducting discovery and strategy sessions, asking consultative questions, designing tailored integration solutions, and acting as a trusted advisor on deployment and analytics. The role also involves capturing technical feedback from prospects to inform product enhancements and roadmap priorities with Product and Engineering teams.

Atlassian lets employees choose where they work—office, home, or a hybrid—and hires in any country where the company has a legal entity. The DX Solutions Engineering Team at Atlassian is seeking a highly skilled Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com) and serve as the solution expert throughout the sales cycle. The role aims to solve commercial and midmarket prospects' most complex business problems using Atlassian products and ultimately help close critical deals. Responsibilities include leading technical evaluations with Account Executives, driving proof-of-concepts (POCs) and pilots, and clearly demonstrating platform value and technical feasibility. Additional duties cover technical discovery, consultative questioning, designing tailored API-integrated solutions, acting as a trusted advisor on deployment methodologies and analytics integrations, and providing a feedback loop to Product and Engineering to inform enhancements and roadmap priorities.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity to support employees' priorities. DX's Solutions Engineering Team at Atlassian is seeking a Pre-Sales Solutions Engineer to be a key driver in the growth of the DX product (getdx.com). The role involves serving as the solution expert throughout the sales cycle and helping close critical deals by solving complex client problems using Atlassian's products and solutions. Responsibilities include leading technical evaluations with Account Executives, driving POCs and pilots, and ensuring demonstrations clearly show platform value and feasibility. Additional duties cover technical discovery, consultative questioning, designing tailored API integrations, acting as a trusted advisor on deployment and analytics, and feeding back client insights to product and engineering to influence roadmap priorities.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com) and help close critical deals. Responsibilities include leading technical evaluations with Account Executives and driving Proof-of-Concepts and pilots to clearly demonstrate platform value and feasibility. The role encompasses discovery and strategy sessions to understand client needs, consultative questioning about engineering processes and workflows, and designing tailored solutions that integrate APIs with client systems. It also involves acting as a trusted advisor on deployment methodologies and analytics, and providing feedback to Product and Engineering to inform roadmap priorities.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity. DX’s Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product for Enterprise customers, serving as the technical authority after the sale. The role involves leading technical implementation by partnering with Customer Success Managers to manage onboarding, complex integrations, and system architecture for a smooth transition from evaluation to production. It also includes architecture and strategy work, hosting deep-dive sessions to map the DX platform to the customer’s goals and workflows, and designing custom solutions and integrations to meet unique requirements. Additional duties include consultative implementation, acting as a trusted advisor on best practices, and capturing feedback to inform the product roadmap with input from Product and Engineering teams.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid setup, and they hire in any country where they have a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product for Enterprise customers, serving as the technical authority after the sale. The role involves leading technical implementation with Customer Success Managers, including onboarding, complex integrations, and system architecture to ensure a smooth transition from evaluation to production. It also entails architecture and strategy through deep-dive sessions to map the DX platform into clients’ workflows and designing tailored solutions that connect DX APIs with complex environments. Additionally, the position includes consultative implementation, acting as a trusted advisor on best practices, and providing a feedback loop to inform the product roadmap based on customer insights.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally, but this role requires you to be located in the United States and to collaborate with engineering leaders across the US, Australia, and India. The role sits in Atlassian’s Dev AI engineering organization, which builds AI-native developer experiences and autonomous SDLC capabilities, creating intelligent platforms, agent runtimes, and developer tooling that affect Jira, Bitbucket, and the Atlassian Teamwork Graph. They seek a Senior Principal Engineer to provide organization-wide technical leadership across Dev AI platforms and agentic initiatives, shaping multi-year architecture for autonomous developer agents, runtime sandboxes, agent orchestration engines, and context-retrieval infrastructure, in a high-leverage individual-contributor capacity. Responsibilities include defining architectural blueprints and roadmaps, resolving ambiguity across teams, architecting scalable runtimes and shared libraries, guiding code-intelligence capabilities, and establishing reliability, security, and governance standards. The role involves cross-functional collaboration, mentorship of engineers, hands-on work with strategic prototypes, and compensation details based on US geographic pay zones (Zone A/B/C with specified base pay ranges) and potential benefits, bonuses, commissions, and equity.

Atlassian offers flexible work locations, but this role must be located in the United States and will involve collaboration with engineering teams across the United States, Australia, and India. The role is for a Senior Principal Engineer in Atlassian’s Dev AI engineering organization, which builds AI-native developer experiences, autonomous SDLC capabilities, and developer tooling used across Jira, Bitbucket, and the Atlassian Teamwork Graph. Responsibilities include defining multi-year architectural blueprints, leading complex cross-organizational initiatives, resolving architectural ambiguity, and raising the engineering quality bar while partnering with engineering managers, principal engineers, product leaders, platform teams, security specialists, and other product organizations. The role focuses on agentic architecture and SDLC foundations, including scalable runtimes for autonomous developer agents, code-intelligence capabilities grounded in repository context, shared libraries, standardized agent patterns, plus production readiness, governance, telemetry, and durable incident remediation. Compensation is designed to be equitable and competitive, with US geographic pay zones (Zone A: $243,900 - $318,425; Zone B: $219,510 - $286,583; Zone C: $202,437 - $264,293) and eligibility for benefits, bonuses, commissions, and equity, subject to recruiter confirmation of zone.

- Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance business demands with family responsibilities. - Atlassian is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle from awareness to retention and expansion. - The role focuses on turning behavioral and product signals into scalable ML systems that support the growth funnel and enable more relevant customer and sales experiences, including moving cross-flow ranking to a unified, value-aware orchestration system that weighs user context, conversion probability, and expected lifetime value. - You will design, build, and operate ML systems for personalized recommendations, activation journeys, cross-product expansion, and sales experiences; define the strategy for evolving ML capabilities; and partner with product, engineering, data science, analytics, marketing, and sales to translate growth opportunities into measurable experiments and production capabilities. - The candidate should have a Bachelor's or Master’s in CS or equivalent, 5+ years of ML experience, proficiency in Python (and ideally Java/Typescript), SQL, Spark, and cloud data environments (AWS, Databricks); experience building large-scale models and datasets with evaluation frameworks; strong communication skills; and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference, with bonus for SaaS or consumer/B2B growth experience.

Atlassian offers flexible work options (office, remote, or hybrid) and is hiring a Machine Learning Engineer for Growth to turn behavioral and product signals into scalable ML systems that support the customer lifecycle and drive engagement and value. The Growth organization brings together product, engineering, data science, analytics, and product operations to improve how customers discover, adopt, and expand Atlassian, using experimentation, personalization, and intelligent orchestration across acquisition, onboarding, activation, expansion, and retention. The role involves building ML capabilities for personalized recommendations and journeys across surfaces, moving toward a unified, value-aware cross-flow ranking system that uses user context and lifetime value. You will design, build, and operate models and decisioning services for personalized experiences, define the ML strategy, and partner with cross-functional teams to translate opportunities into measurable experiments and production capabilities, including offline policy evaluation and online experiments, while monitoring attribution, latency, quality, and fairness. Requirements include a Bachelor’s or Master’s in CS, 5+ years in ML, strong Python (plus Java/Typescript), SQL, Spark, cloud data environments (AWS, Databricks); experience building large-scale models and datasets with evaluation frameworks; ability to communicate ML concepts to diverse audiences; agile, problem-solving, and collaboration with product/analytics/marketing/sales; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; plus optional SaaS/B2B/B2C experience.

At Atlassian, you can work flexible hours and locations, and the company is hiring a Machine Learning Engineer for the Growth organization to build intelligent, personalized experiences that guide customers through the lifecycle. The Growth team combines product, engineering, data science, analytics, and product operations to improve discovery, adoption, expansion, and retention, using experimentation, personalization, and orchestration to deliver relevant recommendations and journeys across surfaces. 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 ML capabilities and ensuring robust data foundations, evaluation frameworks, and decisioning systems that enable durable value. Requirements include a Bachelor’s or Master’s in CS or related field, 5+ years in ML, strong Python (plus Java/Typescript), SQL, Spark, cloud experience (AWS/Databricks), experience with large-scale models and datasets, and the ability to communicate ML concepts to diverse audiences, with familiarity in contextual bandits, uplift modeling, recommender systems, or causal inference; collaboration with product, analytics, marketing, and sales is essential, and SaaS/B2B/B2C experience is a plus. The role emphasizes solving ambiguous problems, balancing short-term signals with long-term outcomes, and prioritizing practical business impact and continuous iteration within an agile mindset.

At Atlassian, employees can work in-office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. The Senior Machine Learning Engineer on the Agentic Search team will build agentic search systems that help AI assistants and developers discover enterprise knowledge, reason through questions, and accomplish tasks across products and tools. The role sits within Search Relevance and focuses on interpreting intent, planning searches, using tools, and adapting to new evidence, guided by rigorous evaluation, with ownership from problem definition through deployment and ongoing measurement, in collaboration with product, search infrastructure, modeling, and evaluation teams. Responsibilities include delivering APIs and tools (such as MCP), creating reproducible benchmarks, enabling trustworthy comparisons, and leveraging AI advances to improve the full search system while respecting enterprise data boundaries. Candidates should have a CS degree or equivalent, 4+ years of ML experience in production, strong Python skills, experience with LLMs/IR/NLP, and a demonstrated ability to design experiments and lead technical projects; additional experience with agents, MCP, evaluation benchmarks, retrieval, and cloud ML environments is a plus.

Atlassian supports flexible work arrangements—office, home, or hybrid—and hires in any country where it has a legal entity. The Senior Machine Learning Engineer — Agentic Search will join the Search Relevance team 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. You’ll own end-to-end projects, build capabilities via APIs and protocols like the Model Context Protocol (MCP), create reproducible benchmarks and evaluation tools, and use findings to improve the full search system, including model behavior and interfaces. Candidates should have a bachelor’s or master’s in CS (or equivalent), 4+ years of production ML experience, strong Python, and experience with LLMs, AI agents, information retrieval, or NLP, plus the ability to lead ambiguous projects and communicate with engineering and product partners. Nice-to-have items include building tools for agents, API/interface design for AI agents (including MCP), reproducible benchmarks, retrieval-augmented or semantic search, LLM fine-tuning, and experience with distributed data processing and cloud ML environments such as Spark, AWS, or Databricks.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where they have a legal entity. The Senior Machine Learning Engineer — Agentic Search role sits on the Search Relevance team, building systems that help people and AI agents discover enterprise knowledge and complete tasks across Atlassian products and tools. You’ll build agentic search capabilities via APIs and protocols like MCP, create reproducible benchmarks, evaluate performance, and improve the full search stack from model behavior to tool interfaces based on evidence. You’ll own projects end-to-end, collaborate across product, search, and AI teams, mentor engineers, contribute to design and code reviews, and evolve engineering practices with AI tools. Requirements include a degree or equivalent, 4+ years of ML production experience, strong Python, experience with LLMs/AI agents/IR/NLP, experimental design, and daily use of AI tools, with preferred skills in building agent tools, MCP/API design, agent evaluations, semantic retrieval, LLM fine-tuning, and distributed processing in cloud environments.

Atlassian offers flexible work arrangements (in-office, remote, or hybrid) and hires globally in any country where it has a legal entity. The Senior Machine Learning Engineer will join the Agentic Search team within Search Relevance to build agentic search systems that help users and AI agents discover enterprise knowledge and accomplish tasks across Atlassian products and developer workflows. The team designs systems that interpret intent, plan searches, use tools, and adapt to new evidence, with rigorous evaluation guiding development and cross-functional collaboration to improve the full search experience. Responsibilities include delivering agentic search capabilities through APIs and protocols like the Model Context Protocol (MCP), developing reproducible benchmarks, enabling trustworthy performance comparisons, and owning projects from design through deployment with ongoing measurement. Requirements include a bachelor’s or master’s in CS or equivalent, 4+ years of production ML experience, strong Python, and experience with LLMs, AI agents, information retrieval, or NLP, plus the ability to lead ambiguous technical projects; preferred skills include experience building tool-using agents, MCP, APIs, retrieval-augmented or semantic search, LLM fine-tuning, and cloud processing with Spark/AWS/Databricks.

Atlassian lets employees choose where to work—office, home, or a mix—and hires people in any country where the company has a legal entity. The company is seeking a Senior Machine Learning Engineer to join the Agentic Search team within Search Relevance, building systems that help people and AI agents discover enterprise knowledge and accomplish tasks across products. The role involves delivering agentic search capabilities through APIs and protocols like the Model Context Protocol, creating reproducible benchmarks, and using evaluation results to improve search, model behavior, interfaces, and context selection while ensuring enterprise permissions and data boundaries. You’ll collaborate with product, search, and AI teams, contribute to design and code reviews, mentor engineers, and advance engineering practices with AI tools, while shaping technical direction and integrating agentic search into customer experiences. Required qualifications include a bachelor’s or master’s in CS or related field (or equivalent), 4+ years of ML experience in production, strong Python, and familiarity with LLMs, information retrieval, and evaluation; preferred extras include experience with tools-using agents, MCP, APIs for AI agents, and distributed data processing on Spark, AWS, or Databricks.

Atlassian offers 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, building systems that help people and AI agents discover enterprise knowledge and accomplish tasks across products and developer workflows. The team sits in Search Relevance and focuses on interpreting intent, planning searches, selecting tools/sources, and evolving as new evidence becomes available, guided by rigorous benchmarks. You’ll own end-to-end projects—from problem definition to deployment—build agentic search capabilities via APIs and protocols like MCP, and develop reproducible evaluation tools to enable trustworthy comparisons and fast experimentation. Requirements include a 4+ year ML background, strong Python, experience with LLMs/AI agents/NLP, designing experiments and evaluation datasets, and the ability to lead ambiguous projects, with preferred extras like agent tooling, API design, retrieval-augmented search, and cloud ML environments.

Atlassian offers flexible work options—office, home, or hybrid—so employees can balance family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The role is fully remote but requires you to be located in US Pacific or Mountain time zones. They are seeking a Senior Fullstack Software Engineer focused on delivering creative improvements for their engineering teams. Responsibilities include guiding the technical direction of large-scale features, evaluating trade-offs, collaborating with product, design, and engineering, shipping well-tested, secure, and maintainable code, addressing production issues, contributing to code reviews and documentation, and mentoring teammates.

Atlassian supports flexible work locations, including fully remote roles, but this position requires being in US Pacific or Mountain time zones, and they hire in any country with a legal entity. They are seeking a Senior Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include guiding technical direction for large-scale features and evaluating trade-offs among correctness, robustness, performance, and customer impact. You’ll collaborate with product, design, and engineering to influence strategy, ship well-tested and secure code, and respond to production issues and bugs. You’ll also contribute to code reviews, documentation, and complex fixes with an emphasis on security, performance, and reliability, while mentoring teammates.

In this role, you’ll be part of Atlassian’s Customer Success Architect team within the Sales and Success department, focusing on adoption of the Rovo AI platform, leading time-boxed, co-built engagements that move customers from “Rovo is turned on” to real, measurable business value, and owning a repeatable, scalable engagement methodology. You’ll partner with enterprise teams, build playbooks, run internal enablement, and maintain relationships with Rovo Product and Engineering, bridging AI and Atlassian platform expertise with customer success leadership to drive measurable adoption outcomes at both the engagement and program levels. You’ll lead through domain expertise and playbook ownership (not direct reports), acting as a technical expert who partners with Pre-Sales, Post-Sales, and Product teams to provide solutions and guidance that help customers achieve their goals and broaden AI adoption. On day one, you’ll facilitate discovery workshops, co-build custom Rovo agents and third-party connectors, design solutions tailored to workflows using Jira, Confluence, and Rovo Studio, deploy from sandbox to production, validate performance, and enable teams to iterate and scale. You’ll own the engagement methodology, onboard and train new team members, synthesize field feedback into product roadmap input, collaborate with Account Teams and CSMs on activation journeys, advocate with Product and Engineering to surface product friction and improve adoption, and travel up to 15% for events and customer meetings.

The Senior CSA (AI) will join Atlassian’s Customer Success Architect team to drive adoption of the Rovo AI platform through time-boxed, co-built engagements that turn activation into measurable business value while creating repeatable, scalable playbooks and enablement. They’ll partner with enterprise teams on the most complex activations and maintain a strong link to Rovo Product and Engineering, combining deep AI and Atlassian platform expertise with customer success leadership to achieve measurable adoption outcomes at both the engagement and program levels. On day one, they’ll facilitate discovery workshops, co-design custom Rovo agents and connectors, and guide deployment from sandbox to production, ensuring agents perform, data flows are established, and teams can scale post-engagement. They’ll own the engagement methodology, build and iterate playbooks, onboard and train new team members, bridge Product and Field, and translate field feedback into product roadmap input while collaborating with Account Teams and Customer Success Managers on activation journeys and sustained growth. They’ll advocate across Rovo Product and Engineering to surface friction and broaden AI adoption into new use cases and markets, and travel up to 15% for events and customer meetings.

At Atlassian, employees can choose to work in an office, from home, or a combination, giving them more control to support family and personal goals. They can hire people in any country where there is a legal entity. The role involves driving large, complex projects autonomously from technical design to launch, tackling architecture challenges, and applying architectural standards to new projects. It also includes leading code reviews and documentation, handling complex high-risk bug fixes, and serving as an example for thorough reviews while partnering across engineering teams on company-wide initiatives. The position requires transferring knowledge to excel as a Java developer and mentoring junior team members.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. You will drive large, complex projects autonomously from technical design to launch. You will tackle complex architecture challenges, apply architectural standards, and start using them on new projects. You will lead thorough code reviews and documentation, take on complex high-risk bug fixes, and be an example of meaningful reviews; you will partner across engineering teams on company-wide initiatives spanning multiple projects. You will transfer your depth of knowledge from your current language to excel as a Java developer and mentor junior team members.

Atlassian offers flexible work options—office, home, or a mix—and hires globally where they have a legal entity to support employees' personal priorities. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product and to be the technical authority for enterprise customers after the sale. The role leads technical implementation, partnering with Customer Success Managers to handle onboarding, complex integrations, and system architecture for a smooth move from evaluation to production. It includes architecture and strategy work, deep-dive sessions to map the DX platform to customers' goals, and designing custom solutions and integrations to fit their environments. Additional duties include consultative implementation, serving as a trusted advisor on DX analytics and deployment practices, and feeding feedback from customers to the product team to influence the roadmap.

Atlassian supports flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product for enterprise customers. The role serves as the technical authority after the sale, leading post-sales technical implementation, onboarding, complex integrations, and architecture to ensure a smooth move from evaluation to production. Responsibilities include leading architecture and strategy, designing custom solutions that connect the DX APIs to complex client environments, and providing consultative implementation and strategic guidance on best practices for DX analytics and deployment. The role also involves acting as a trusted advisor and collecting feedback from customers to inform the product roadmap and collaborate with Product and Engineering on feature enhancements.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country with a legal entity to support employees' family and personal goals. They are seeking product-minded Principal Engineers who are hands-on individual contributors, working at the seam between deep technical craft and sharp product judgment, owning customer-facing products end to end across the full stack and shaping what gets built, including AI-native experiences used by teams worldwide. Responsibilities include owning end-to-end product experiences, shipping ambiguous problems to measured outcomes, leading technical strategy and large-scale features, and partnering with product, design, data, and engineering to influence direction; evaluating trade-offs for correctness, robustness, performance, and customer impact; contributing to system design, code reviews, documentation, and best practices with security, performance, and reliability in mind; and mentoring the engineering organization. Qualifications require 10+ years of full-stack experience in product and platform engineering; proven ability to architect, build, and operate large-scale distributed systems and user-facing apps; extensive experience with operational excellence, automated testing, production telemetry, and service reliability; a strong product and UX mindset; exceptional communication and collaboration skills; and the ability to influence across teams toward business outcomes. The role emphasizes innovation, continuous improvement, mentorship, and fostering an inclusive, high-performing engineering environment.

Atlassian allows flexible work locations—office, home, or a mix—and hires in any country where the company has a legal entity to support employees' family and personal goals. They are seeking product-minded Principal Engineers in a hands-on individual-contributor role who sit at the seam between deep technical craft and sharp product judgment, owning customer-facing products end-to-end across the full stack and shaping what gets built, including next-generation AI-native and agentic experiences. In this role, you will own customer-facing product experiences end-to-end, lead technical strategy and the implementation of large-scale features and systems, and partner with product, design, data, and engineering to influence product direction. You will evaluate trade-offs between correctness, robustness, performance, and customer impact, contribute to system design, code reviews, documentation, and best practices with security, performance, and reliability in mind, and mentor the engineering organization. Requirements include 10+ years of full-stack experience in product and platform engineering; a track record of architecting and operating large-scale distributed systems and user-facing apps; experience with operational excellence, automated testing, production telemetry, and reliability; a strong product/UX mindset; excellent communication and collaboration; and a passion for innovation, mentorship, and fostering an inclusive, high-performing environment.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity. They’re looking for product-minded Principal Engineers—hands-on individual contributors who bridge deep technical craft with sharp product judgment. In this role, you’ll own customer-facing products end-to-end across the full stack, shaping what gets built and delivering the next generation of AI-native and agentic experiences used by teams worldwide. You’ll lead technical strategy and implement large-scale features, partner with product, design, data, and engineering to influence strategy, evaluate trade-offs among correctness, robustness, performance, and customer impact, contribute to system design, code reviews, documentation, and best practices with security, performance, and reliability in mind, and mentor the engineering organization. Requirements include 10+ years of full-stack experience in product and platform engineering, a track record of architecting and operating large-scale distributed systems and user-facing apps, experience establishing operational excellence, automated testing, production telemetry, and service reliability; a strong product/UX mindset; exceptional communication and collaboration skills; and a passion for innovation, continuous improvement, mentorship, and fostering an inclusive, high-performing environment.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity to support personal goals. They’re seeking product-minded Principal Engineers who are hands-on individual contributors at the seam of deep technical craft and sharp product judgment. In this role you’ll own customer-facing products end to end across the full stack, shape what gets built, and help create AI-native and agentic experiences used by teams worldwide. You’ll lead technical strategy and large-scale feature implementations, collaborate with product, design, data, and engineering to influence direction, evaluate trade-offs for correctness, performance, and customer impact, contribute to system design and best practices with security and reliability in mind, and mentor others. Requirements include 10+ years of full-stack experience in product and platform engineering, a track record of architecting and operating large-scale distributed systems, strong operational and testing expertise, a solid product/UX mindset, excellent communication and collaboration skills, and a passion for innovation and fostering an inclusive, high-performing environment.

Atlassian offers flexible work options (office, home, or a blend) and hires in any country where they have a legal entity. They are seeking product-minded Principal Engineers as hands-on individual contributors who sit at the seam between deep technical craft and sharp product judgment. In this role you will own customer-facing products end-to-end across the full stack, shape what gets built and deliver AI-native experiences, while leading technical strategy and implementing large-scale features and systems, in collaboration with product, design, data, and engineering. Requirements include 10+ years of full-stack experience in product and platform engineering, a track record of architecting and operating large-scale distributed systems and user-facing apps, strong operational excellence with automated testing and production telemetry, and a strong product/UX mindset along with excellent communication. You will also contribute to system design, code reviews, documentation, and best practices, and you’ll mentor others to foster an inclusive, high-performing engineering environment focused on innovation and continuous improvement.

Atlassian offers flexible working options—office, remote, or a hybrid—and hires in any country with a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Growth Platform team builds foundational systems powering engagement, messaging, and personalized experiences across Jira, Confluence, Trello, Loom, and beyond. As a Principal Frontend Engineer, you will serve as the senior technical authority for client-side architecture across our messaging and personalization engines, leading architectural direction across multiple squads and setting patterns for resilient, fast, accessible, and scalable user experiences. You will define the long-term technical roadmap and architectural patterns spanning distributed backend services, APIs, and client-side integration points for in-product messaging, notifications, personalization, and experimentation frameworks, with an emphasis on scalable server-side systems. You’ll collaborate across Product, Design, Data Engineering, and product-engineering teams to align on full-stack contracts, mentor senior and mid-level engineers, lead design reviews, and promote observability, automated testing, and modern CI/CD practices to ensure high availability and zero-drift experiences.

- Atlassian offers flexible work options (office, remote, or hybrid) with virtual interviews and onboarding as part of its distributed-first approach; this role is fully remote but must be located in the United States. - The Growth Platform team builds foundational systems powering engagement, messaging, and personalized user experiences across Jira, Confluence, Trello, Loom, and more, operating at the nexus of high-scale distributed systems, client-side performance, and experimentation to reach millions of daily active users. - As the Principal Frontend Engineer, you’ll serve as the senior technical authority for client-side architecture across messaging and personalization engines, leading architectural direction across multiple squads and establishing standard patterns for resilient, fast, accessible, and scalable user experiences. - You’ll define the long-term technical roadmap and architectural patterns spanning distributed backend services, APIs, and client-side integration points for in-product messaging, notifications, personalization, and experimentation frameworks, with emphasis on scalable server-side systems. - You’ll collaborate with Product Managers, Design, Data Engineering, and other product teams to align on unified full-stack contracts, mentor engineers, lead architecture reviews, and foster operational excellence through telemetry, observability, automated testing, and modern CI/CD pipelines to ensure high availability and zero-drift experiences.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where they have a legal entity. They are seeking product-minded Principal Engineers who are hands-on senior individual contributors, able to balance deep technical craft with strong product judgment and own products end to end. The role involves owning customer-facing features across the full stack (React/TypeScript front ends, backend services, and APIs), making architecture decisions aligned with user and business outcomes, and using telemetry to define success metrics and guide iterations. It also includes designing AI-enabled experiences by integrating LLMs and AI workflows for millions of users, and setting technical direction while collaborating with product managers, designers, and platform teams. Additional responsibilities include raising the engineering bar through code reviews and mentoring, identifying high-leverage problems, prototyping quickly, and driving prototypes to production-grade quality at scale.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity. They’re seeking product-minded Principal Engineers who are hands-on senior individual contributors at the seam of deep technical craft and strong product judgment. The role owns customer-facing products end-to-end across the full stack, shaping what gets built and delivering AI-native, agentic experiences used by teams globally. Responsibilities include end-to-end feature ownership across React/TypeScript front ends, backend services, and APIs; setting success metrics, instrumenting and monitoring, and adjusting design based on data; and setting technical direction while partnering with product managers, designers, and platform teams. The position also emphasizes raising the engineering bar through code reviews and mentoring, finding high-leverage problems in ambiguous spaces, prototyping quickly, and delivering production-grade quality at scale.

Atlassian allows employees to work from an office, from home, or a combination of the two, giving flexibility to support personal goals and priorities. They can hire people in any country where they have a legal entity. The company is seeking a Principal Backend Software Engineer to join the team and drive creative improvements for engineering teams. Responsibilities include unblocking development challenges, determining plans for large projects, solving complex architecture problems, applying architectural standards, leading code reviews, documenting, fixing high-risk bugs, and setting the standard for meaningful code reviews. The role also involves partnering across engineering teams on company-wide projects, transferring deep language knowledge to excel as a Software Engineer, and mentoring junior engineers.

Atlassian offers flexible work options—office, home, or a hybrid setup—and hires in any country where the company has a legal entity. The role is Principal Backend Software Engineer, focused on delivering creative improvements for engineering teams. Responsibilities include unblocking the software development cycle, creating solutions used by other teams, and planning approaches for large projects while applying architectural standards to new work. You will lead code reviews and documentation, tackle complex, high-risk bug fixes, set the standard for meaningful reviews, and partner with multiple engineering teams on company-wide initiatives. The role also emphasizes transferring knowledge of your current programming language to excel as a Software Engineer and mentoring junior teammates.

At Atlassian, employees can work from anywhere—office, home, or a hybrid—and the company can hire in any country where it has a legal entity to support personal priorities. DX is a Salt Lake City–based, fast-growing SaaS company that collects millions of data points to measure developer productivity and serves notable customers like Pinterest and GitHub. DX was acquired by Atlassian, and the move will expand resources, accelerate growth and R&D, and deliver greater impact to customers. The Commercial Account Executive role involves partnering with DX’s largest customers, identifying productivity pain points, guiding proof-of-concept evaluations, building business cases, and managing a large territory with inbound leads, supported by SDRs, SAs, and leadership. DX’s culture centers on individual mastery and high performance, rewarding those who excel while acknowledging that outcomes can be influenced by external factors beyond one’s control.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity to support employees’ family, personal goals, and priorities. DX is headquartered in Salt Lake City, Utah, a fast-growing SaaS company that helps engineering leaders build high-performing teams by collecting millions of data points on developer productivity and experience, with clients like Pinterest, GitHub, BNY, and Xero; it has grown profitably, tripling ARR in recent years, and was recently acquired by Atlassian. By joining Atlassian, DX will expand resources, accelerate growth and R&D, and deliver greater impact to customers. The Commercial Account Executive role involves partnering with DX’s largest and most strategic customers, uncovering pain points in measuring and improving developer productivity, guiding them through proofs of concept, and building long-term business cases for DX adoption, with a large territory and a high inbound lead volume supported by SDRs, SAs, and leadership. Key responsibilities include developing outbound strategies with SDRs, mastering the sales process, creating tailored documentation, guiding evaluations of our solutions, and establishing DX as a pivotal driver of clients’ business goals, while the company emphasizes individual mastery and high-level performance despite outcomes being influenced by external factors.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. - Atlassian is looking for a Pre-Sales Solutions Engineer who will be a product expert in the sales cycle, solving customers’ toughest business problems with Atlassian products to help close enterprise deals. - Responsibilities include partnering with account teams and channel partners to understand customer needs, map them to Atlassian solutions, and lead cross-product expansion and value-based demonstrations. - The role also involves guiding customers’ technical requirements, gaining buy-in for Atlassian, forging strong sales partnerships, and collecting product feedback and competitive intelligence for internal product management. - Continuous learning and refinement of pre-sales knowledge, product offerings, and sales processes are emphasized to progress with Atlassian products.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity, enabling employees to balance family goals and other priorities. Atlassian is looking for a Pre-Sales Solutions Engineer who will be a product expert during the sales cycle, solving customers' toughest business problems with Atlassian products and helping close enterprise deals. In this role you will partner with account teams and channel partners to conduct customer discovery, identify pain points, and map them to Atlassian products, platforms, and solutions, including cross-product opportunities. You will lead value-based demonstrations, articulate the value of the software, understand customer technical needs to gain buy-in, and forge strong partnerships with sales counterparts while documenting feedback and competitive intelligence for internal product management. Finally, you will continuously learn and refine pre-sales, product, solution, and platform knowledge and Atlassian products progress.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where the company has a legal entity to support employees' family and personal priorities. They are looking for a Pre-Sales Solutions Engineer who will be a product expert in the sales cycle, solving customers' hardest business problems with Atlassian products to help close enterprise deals. Responsibilities include partnering with account teams and channel partners to conduct customer discovery, map current state and business problems to Atlassian products, and identify cross-product opportunities and customer pain points. The role requires leading value-based demonstrations, understanding customer technical needs to gain buy-in, and proactively forging strong partnerships with sales counterparts to improve the selling cycle. Additional duties involve documenting product feedback and competitive intelligence for internal advocacy with product management, and continuously learning about pre-sales, offerings, and processes.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The DX Solutions Engineering Team at Atlassian is seeking a Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com). The role serves as the solution expert throughout the sales cycle, helping solve complex business problems and close critical deals. Responsibilities include leading technical evaluations with Account Executives (POCs and pilots), conducting discovery and strategy sessions, asking detailed questions about clients' engineering workflows, designing tailored API integrations, and providing trusted guidance on deployment and analytics. It also involves capturing technical feedback from prospects to inform product enhancements and roadmap priorities with Product and Engineering teams.

Atlassian offers flexible work options—office, remote, or hybrid—so employees can balance family, personal goals, and other priorities. The company hires in any country where it has a legal entity. The DX Solutions Engineering Team at Atlassian is seeking a Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com) and serve as the solution expert throughout the sales cycle. The role involves solving commercial and midmarket prospects' complex business problems using Atlassian products, ultimately helping to close critical deals. Responsibilities include leading technical evaluations (POCs and pilots) with Account Executives, conducting discovery, asking detailed questions, designing tailored integration solutions, acting as a trusted advisor on deployment and analytics, and feeding back prospect insights to Product and Engineering to inform roadmap.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity. The DX Solutions Engineering Team is seeking a Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com) and help close critical deals. The role includes leading technical evaluations with Account Executives, running POCs and pilots to demonstrate value and feasibility. It also covers technical discovery and strategy sessions, consultative questioning, and designing tailored API-integrated solutions for complex client workflows. Additionally, the engineer acts as a trusted advisor on deployment and analytics best practices and provides technical feedback to Product and Engineering to inform roadmap priorities.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. - The DX Solutions Engineering Team at Atlassian is seeking a Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com). - The role will serve as the solution expert throughout the sales cycle, helping to solve complex Commercial/Midmarket prospects' problems and support closing deals. - Responsibilities include leading technical evaluations with Account Executives, conducting POCs and pilots, and clearly demonstrating platform value and technical feasibility. - Additional duties involve technical discovery and strategy, consultative questioning, designing tailored API integration solutions, acting as a trusted advisor, and collecting prospect feedback to inform product enhancements and roadmaps.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The role centers on technical engagement with customers—discovery, identifying business challenges, and mapping them to Atlassian’s value propositions while identifying cross-product opportunities. Responsibilities include technical problem solving, acting as a product expert, delivering value-driven demonstrations, providing technical sales leadership, collaborating with sales, and capturing customer feedback for product improvement. Qualifications include a bachelor’s degree or equivalent, 1-4+ years in presales/solution engineering or similar customer-facing tech roles, deep knowledge of Atlassian’s products, proven ability to deliver impactful demos and lead evaluations, and strong organizational and communication skills. The ideal candidate is collaborative, problem-solving oriented, capable of presenting to diverse audiences, and thrives in a fast-paced, ambiguous environment with a hands-on, execution-focused mindset.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country with a legal entity, enabling employees to balance family and personal goals. The role centers on Technical Engagement with sales, partnering to discover customer challenges and map them to Atlassian’s value propositions, and on identifying opportunities for cross-product expansion to maximize value. It involves technical problem solving, product expertise, and delivering value-driven demonstrations that show how Atlassian’s software drives collaboration and outcomes, along with technical sales leadership and guidance on best practices and implementation. The position requires strong collaboration with sales and customer advocacy, including gathering feedback and competitive insights for product teams to influence improvements. Qualifications include a bachelor’s degree or equivalent, 1-4+ years in presales/solution engineering or similar, deep product knowledge, proven demos and technical evaluations, the ability to identify expansion opportunities, and a collaborative, organized, problem-solving, execution-focused mindset.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country with a legal entity, enabling colleagues to balance family, personal goals, and priorities. The role centers on technical engagement with customers: partnering with sales to discover business challenges, identify expansion opportunities, and map solutions to Atlassian's offerings. Responsibilities include solving client problems with product expertise, delivering value-driven demos, leading technical evaluations, and guiding implementation and best practices with customers while collaborating with sales. Customer advocacy and feedback loops are emphasized, capturing competitive insights for product teams to influence improvements. Qualifications require a bachelor’s degree or equivalent, 1-4+ years in presales or similar roles, deep product knowledge, proven demonstrations and evaluations, opportunity identification, strong organization and communication, and a collaborative, problem-solving mindset.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires people in any country where it has a legal entity. Responsibilities include partnering with sales for customer discovery and mapping challenges to Atlassian’s value propositions, identifying opportunities for cross-product expansion, solving client problems, and delivering value-driven product demonstrations. The role also involves technical sales leadership, guiding implementation strategies, collaborating with sales to improve engagement, and advocating for customers by sharing feedback with product teams. Candidates should have a bachelor’s degree or equivalent and 1-4+ years in presales or other customer-facing tech roles, with deep knowledge of Atlassian’s products and demonstrated ability to articulate value and lead technical evaluations. Strong organization, communication skills, and a collaborative, roll-up-your-sleeves mindset focused on execution and continuous improvement are essential.

Atlassian supports flexible work arrangements and hires across countries with a legal entity; this role welcomes applicants from all regions of Germany. The company is redefining service management with the Service Collection powered by Rovo AI to unify ITSM and ESM and enable faster, better experiences for mid-market and enterprise customers. The role is an experienced Account/Sales or Solution Executive in the EMEA Solution Sales team, responsible for driving adoption and net-new revenue growth across the DACH region and leading complex engagements with AEs, SEs, and partners. Why join: become the Service Management specialist for DACH, help shape a strategic growth market, and enjoy a blend of Atlassian stability with a fast-growth, specialized sales motion and strategic deal work. You’ll drive end-to-end regional sales, build relationships with C-level IT and business service leaders, tailor the Service Collection story with Solution Engineers, collaborate with local partners, feed market feedback to Product Management, and maintain a disciplined pipeline using enterprise sales methodologies.

Atlassian offers flexible work options and hires in any country with a legal entity, with a focus on applicants from Germany for this role. The company is redefining service management with its unified Service Collection powered by AI (Rovo) to transform ITSM/ESM across IT, HR, Legal, and beyond. The role is for an experienced Account/Sales or Solution Executive joining the EMEA Solution Sales team to drive adoption and revenue in the DACH region, partnering with AEs, SEs, and Atlassian Solution Partners/GSIs to lead complex engagements. The position provides an opportunity to be the Service Management Specialist for DACH, shaping growth in a strategic market and combining Atlassian’s stability with a fast-growing solution sales motion. Responsibilities include driving end-to-end sales cycles, building relationships with C-level and IT leaders, tailoring the Service Collection messaging, collaborating with partners to accelerate pipeline, channeling market feedback to product teams, and maintaining disciplined pipeline and forecast using enterprise sales methodologies.

As an SMB+ Core Account Executive, you’ll own the end-to-end sales cycle in a territory of high-potential SMB accounts, focusing on landing new customers, expanding existing relationships through renewals, and converting free instances into paid enterprise-grade solutions. You’ll connect customer challenges to the Atlassian platform (Jira, Confluence, Loom, Rovo) while partnering with Solutions Engineering, Marketing, Channel Partners, and Solution Sales Executives. The role blends customer advocacy with a builder’s mindset, bringing feedback to Product, Engineering, and Marketing, testing new approaches, learning what works, and focusing on scalable growth with a team-first approach. You’ll drive quota and pipeline growth, execute high-impact sales plays, lead platform-based consultative selling, expand multi-product adoption across the Atlassian suite (with Jira Service Management overlays), and use product signals, PQLs, CRM data, and AI-driven workflows to prioritize high-intent accounts and accelerate velocity, while maintaining Salesforce data accuracy and reliable forecasts. You’ll collaborate with regional partners and Channel teams to co-sell and provide implementation support, and continuously improve the sales playbook by sharing market trends, objection patterns, and customer insights with Sales Leadership, Marketing, and Revenue Operations.

The SMB+ Core Account Executive role focuses on growing Atlassian’s footprint in a designated territory of high-potential SMB accounts, owning the full sales cycle from acquiring new logos to renewals and converting free instances to paid enterprise-grade solutions. They will connect customer business challenges to the Atlassian platform (Jira, Confluence, Loom, Rovo) while partnering with Solutions Engineering, Marketing, Channel Partners, and Solution Sales Executives. The team blends customer advocacy with a builder’s mindset, bringing feedback to Product, Engineering, and Marketing, testing new growth motions, learning from results, and prioritizing collective progress over individual heroics. The role requires autonomy to own the territory while staying connected to the regional team and partners, driving quota and pipeline growth, executing targeted outbound and inbound sales plays, and leading consultative, platform-based selling for cloud adoption and security/compliance needs. Additional responsibilities include expanding multi-product adoption with Jira Service Management overlays, using product signals, PQLs, CRM data, and AI-driven workflows to prioritize high-intent accounts, maintaining Salesforce data and forecasts, collaborating with regional Solution Partners and Channel teams, and continually refining the sales playbook with market insights.

Atlassian's Audit Platform and Guard serve as the security and data-governance layer, giving admins centralized controls and visibility to maintain secure, compliant operations at scale. By helping security and IT teams protect sensitive data, uphold governance standards, and manage risk, Guard enables leaders to safely accelerate AI adoption and new ways of working. They are looking for a Mobile Engineer to bring these security and audit experiences to mobile by building native iOS apps that let customers monitor activity, investigate issues, and stay in control on the go. Responsibilities include designing, developing, and shipping iOS features in Swift, turning UX/UI designs into intuitive interfaces, optimizing performance, and ensuring reliability through crash monitoring and robust error handling, plus cross-team collaboration to maintain parity. The role also requires maintaining high test coverage with unit, integration, and UI tests, conducting code reviews, and being comfortable contributing to Atlassian's frontend web stack when needed.

Atlassian's software helps teams plan, track, and collaborate on their work, while the Audit Platform and Guard provide the security and data-governance layer with centralized controls and visibility to maintain a secure, compliant posture. Guard helps security and IT teams protect sensitive data, uphold governance standards, and manage risk at scale, enabling leaders to safely accelerate AI adoption and new ways of working. They are looking for a Mobile Engineer to bring these security and audit experiences to mobile by building native iOS apps that let customers monitor activity, investigate issues, and stay in control anywhere. The role involves designing, developing, and shipping iOS features in Swift, translating UX/UI designs into intuitive interfaces, optimizing performance, ensuring reliability through crash monitoring and robust error handling, and collaborating with backend, platform, and web teams to maintain parity and consistent behavior, all while handling sensitive data responsibly and maintaining high test coverage. The candidate should also be comfortable contributing to Atlassian's frontend web stack when the work calls for it.

Atlassian's Audit Platform and Guard provide security and data governance with centralized controls and visibility to maintain a secure, compliant posture, enabling leaders to safely accelerate AI adoption and new ways of working. They are hiring a Mobile Engineer to bring these security and audit experiences to mobile via native Android apps for monitoring activity, investigating issues, and staying in control on the go. The engineer will build and ship native Android features, owning capabilities end-to-end from design through testing, rollout, and production support. They will partner with backend, platform, and product teams to deliver cohesive experiences across Atlassian products and will handle sensitive customer data securely with security and privacy built in from the start. The role also focuses on improving app performance, reliability, and the mobile developer experience, with occasional contributions to Atlassian's frontend web stack when needed.

Atlassian's Audit Platform and Guard provides the security and data-governance layer with centralized controls and visibility to maintain a secure, compliant posture at scale. By helping security and IT teams protect sensitive data, uphold governance standards, and manage risk at scale, Guard enables leaders to safely accelerate AI adoption and new ways of working. Atlassian is looking for a Mobile Engineer to bring these security and audit experiences to mobile by building native Android apps that let customers monitor activity, investigate issues, and stay in control on the go. The role involves end-to-end ownership of features from design through testing, rollout, and production support, and collaboration with backend, platform, and product teams for cohesive experiences across Atlassian products. It also emphasizes handling sensitive customer data securely, improving app performance and reliability, and being comfortable contributing to Atlassian's frontend web stack when needed.

Atlassian supports flexible work arrangements and hires globally in any country with a legal entity, including Canada, as long as there is sufficient timezone overlap with the team. They are seeking a Senior Frontend Software Engineer to design, build, and maintain web frontend systems to deliver excellent user experiences. The role is in the Secoda team, Atlassian's AI-first data catalog and analysis product, a lean team shipping a complex UI for catalog search, lineage, knowledge, dashboards, and an AI chat. Responsibilities include end-to-end feature development in React, performance profiling and optimization for large data structures, collaboration with design and product, and raising frontend quality through reviews, documentation, and bug fixes, especially for high-risk areas, plus mentoring. Atlassian envisions a 100-year company, prioritizes AI and cloud transition, and aims to deliver maximum value across Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexible work options (in-office, remote, or hybrid) and hires globally where they have a legal entity, including eligibility for candidates in Canada with sufficient timezone overlap. They are seeking a Senior Frontend Software Engineer to design, build, evolve, and maintain web frontend systems to deliver excellent user experiences. The company envisions a 100-year future with an engineering culture that prioritizes AI initiatives and cloud transitions, delivering value across Jira, Confluence, Trello, and Bitbucket. The role is on the Secoda team, Atlassian’s AI-first data catalog and analysis product, which connects to data sources, builds a trustworthy data picture, and provides grounded answers without waiting on a data team. Responsibilities include end-to-end feature development in React for search, catalog navigation, lineage, dashboards, and AI-assisted analysis; performance improvements for large data structures; cross-functional collaboration with design and product; mentoring, and raising frontend standards through reviews and complex bug fixes.

Atlassian offers flexible work locations—office, home, or a hybrid approach—and hires in any country where they have a legal entity. They are seeking a Senior Backend Software Engineer to drive creative improvements for the engineering teams. The company aims to build a world-class engineering organization, prioritizing AI initiatives and cloud transitions while delivering value through Jira, Confluence, Trello, and Bitbucket. The role involves driving large, autonomous projects from design to launch, tackling architecture challenges, leading code reviews and fixing high-risk bugs, mentoring junior engineers, and transferring knowledge to excel as a Java developer. You’ll partner across engineering teams on company-wide initiatives spanning multiple projects and model thorough, meaningful code reviews to achieve extraordinary results together.

Atlassian offers flexible work arrangements, allowing employees to work in an office, from home, or a mix to support family and personal goals. They hire people in any country where they have a legal entity. They are looking for a Senior Backend Software Engineer to join the team, focused on delivering creative improvements for engineering teams. The company aims to be a 100-year organization with a world-class engineering team of empowered groups, prioritizing AI initiatives and the cloud transition across Jira, Confluence, Trello, and Bitbucket. In this role, you will drive large, complex projects from design to launch, tackle architecture challenges, lead code reviews and documentation, fix high-risk bugs, mentor junior teammates, and partner across engineering teams while applying Java expertise.

Atlassian supports flexible work options and hires globally where it has a legal entity. The Principal Software Engineer in the Confluence AI group will lead development of high-quality AI experiences that help teams create, discover, and collaborate on knowledge and will shape the technical strategy across the full stack. You will drive complex technical decisions, lead large initiatives from architecture to launch, set technical direction for user experiences, backend services, and AI integrations, and design scalable, secure, and cost-conscious systems. The role emphasizes AI quality and innovation, applying advances in generative AI, retrieval, agents, and evaluation, building automated testing and monitoring, improving grounding and safeguards, and partnering with ML and platform teams to deliver measurable customer outcomes. It also focuses on product adoption and sustained growth through intuitive experiences, cross-functional collaboration, mentorship, and making decisions that balance customer impact, feasibility, risk, and cost to guide durable product quality and growth.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. As a Principal Software Engineer in the Confluence AI group, you will lead the development of high-quality AI experiences that help teams create, discover, and collaborate on knowledge, shaping technical strategy across the full stack to improve product quality, user trust, and sustained adoption. You will collaborate with product, design, engineering, analytics, and machine learning teams to translate emerging technologies into reliable, intuitive capabilities that deliver lasting customer value, guiding complex technical decisions and overseeing initiatives from architecture to launch. The role emphasizes AI quality and innovation—applying generative AI, retrieval, agents, and evaluation to improve usefulness and accuracy, building automated evaluations and monitoring, and establishing grounding, context retrieval, orchestration, and safeguards. It also focuses on product adoption and growth, cross-functional collaboration, mentorship, and decision making—aligning Confluence AI with Atlassian platform strategy, mentoring engineers, raising standards, and guiding investments to meet evolving customer needs and ensure durable product quality and growth.

Atlassian offers flexible work locations and global hiring, and as a Principal Software Engineer in the Confluence AI group you will lead the development of high-quality AI experiences to help teams create, discover, and collaborate on knowledge while shaping technical strategy across the full stack to improve quality, trust, and sustained growth. You will drive complex technical decisions, lead the largest initiatives from architecture through launch, set direction across user experiences, backend services, and AI integrations, and design scalable systems that meet performance, reliability, security, and cost requirements. In AI Quality & Innovation, you will apply advances in generative AI, retrieval, agents, and evaluation to improve usefulness and accuracy, embed quality into the product lifecycle with automated evaluations, representative test data, user feedback, and production monitoring, prototype emerging technologies, and partner to improve grounding, context retrieval, orchestration, and safeguards. In Product Adoption & Sustained Growth, you will build intuitive full-stack experiences, identify barriers to adoption, define and track metrics for AI quality, activation, repeat usage, retention, and customer value, and use experimentation to connect quality and usability improvements to growth while prioritizing experiences that earn user trust across Confluence. Across Cross-Functional Collaboration, Mentorship, and Decision Making, you will collaborate with product managers, designers, engineers, and data scientists; lead initiatives across Confluence and Atlassian; communicate strategy and tradeoffs clearly to technical and non-technical stakeholders; mentor engineers, raise standards, develop reusable capabilities, and share learning to foster curiosity and continuous improvement, while balancing customer impact, feasibility, risk, and cost to guide durable product quality and platform direction.

Atlassian supports flexible work arrangements and hires globally wherever it has a legal entity. As a Principal Software Engineer in the Confluence AI group, you lead the development of high-quality AI experiences that help teams create, discover, and collaborate on knowledge, shaping full-stack strategy and driving adoption and trust. You drive technical leadership by guiding the largest initiatives from architecture to launch, setting direction across user experiences, backend services, and AI integrations, and designing scalable, resilient systems that balance performance, security, and cost. You apply advances in artificial intelligence—generative AI, retrieval, agents, and evaluation—to improve usefulness and accuracy, build quality into the product lifecycle with automated evaluations and monitoring, prototype new technologies, and establish continuous improvement with safeguards and production insights. You collaborate across product, design, analytics, and data science; mentor engineers; raise engineering standards; develop reusable capabilities; define metrics for AI quality and growth; and make decisions balancing customer impact, feasibility, risk, and cost while aligning with Confluence AI strategy and the Atlassian platform direction.

Atlassian supports flexible work locations and global hiring; as a Principal Software Engineer in the Confluence AI group, you lead the development of high-quality AI experiences and shape the technical strategy across the full stack. You drive technical leadership and execution by steering the largest initiatives from architecture to launch, setting direction across frontend, backend, and AI integrations, and designing scalable, reliable systems that balance speed, quality, and maintainability. In AI Quality & Innovation you apply advances in generative AI, retrieval, agents, and evaluation to improve usefulness and accuracy, embed quality into the product lifecycle, and prototype and evaluate emerging technologies with measurable customer outcomes. In Product Adoption & Sustained Growth you build intuitive AI-enabled experiences, identify adoption barriers, define metrics for quality and value, and run experiments to drive trust and recurring value across Confluence. You collaborate across functions, mentor engineers, raise engineering standards, share learnings, and make decisions that align Confluence AI with broader Atlassian platform strategy and customer needs.

At Atlassian, we are looking for an experienced Principal Product Manager (P60) to drive the growth of our Product Collection portfolio, leading initiatives from ambiguous problem definition through execution, experimentation, and learning, and connecting high-level strategy to measurable customer and business outcomes with a focus on low-touch growth, persona targeting, and adoption across the product suite. The role encompasses leading Growth & Strategy, Product Execution, Data-Informed Discovery, and cross-functional collaboration with Design, Engineering, Data Science, and GTM teams, while elevating product craft through mentoring and best practices. On day one, you should demonstrate end-to-end ownership of a significant SaaS product or growth initiative, strong product execution, deep data fluency (metrics, funnel analytics, A/B testing), leadership across teams without relying solely on formal authority, customer-centric judgment, and mentorship experience. Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. You’ll love it for the high impact on a dynamic portfolio, autonomy and scope in a culture of experimentation and customer empathy, and daily collaboration with a world-class team across Product, Engineering, Design, and Marketing.

Atlassian seeks an experienced Principal Product Manager (P60) to lead the growth of the Product Collection portfolio, guiding initiatives from ambiguous problem definition through execution, experimentation, and learning, and translating strategy into measurable customer and business outcomes. The role spans leading Growth & Strategy, driving product execution, and championing data-informed discovery—including low-touch growth strategies and persona targeting—while partnering with Design, Engineering, Data Science, and GTM teams to deliver seamless user journeys and drive adoption, and elevating product craft through coaching. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, requiring end-to-end ownership of significant SaaS products or growth initiatives and cross-functional collaboration. On day one, you should demonstrate end-to-end ownership, strong product execution across complex dependencies, deep data fluency with metrics and A/B testing, leadership and influence beyond formal authority, customer-centric judgment, and mentorship of other PMs. Why you’ll love this role: high impact shaping a dynamic, strategic product portfolio; autonomy and scope in a culture of experimentation, customer empathy, and continuous learning; and daily collaboration with a world-class team across Product, Engineering, Design, and Marketing.

Atlassian offers flexible work locations (office, home, or hybrid) and hires across countries with a legal entity, and is seeking a Pre-sales Solutions Engineer for the EMEA Iberia/Italy Enterprise business. The role involves leading technical engagement in complex sales cycles, conducting customer discovery, identifying cross-product opportunities, and acting as a trusted pre-sales advisor to demonstrate the value of Atlassian software. Responsibilities include understanding the full Atlassian product portfolio, delivering tailored value-based demonstrations, guiding the customer's technical needs to secure buy-in, and partnering with sales while feeding back competitive intelligence to product management. Qualifications include 5+ years of enterprise pre-sales experience, excellent communication and presentation skills, fluency in Spanish for Iberia/Italy, and a customer-centric, problem-solving mindset comfortable with both business and technical audiences. You'll join a globally distributed SE team serving Global 2000 companies, collaborating with sales to deliver an enterprise experience, and operating within Atlassian's values to be results-driven and customer-focused.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. The company is seeking a Pre-sales Solutions Engineer for the EMEA Iberia/Italy Enterprise business who leads technical engagements in complex sales and solves customers' hardest business problems. Responsibilities include partnering with account teams and partners to uncover customer needs, map them to Atlassian solutions, identify cross-product opportunities, and lead value-based demonstrations as a trusted pre-sales advisor. The role requires 5+ years of enterprise pre-sales experience, fluent Spanish for the Iberia/Italy market, and the ability to communicate with executives and technical audiences while collaborating across the sales team. The team is globally distributed, results-driven, and emphasizes continuous learning and alignment with Atlassian's core values.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country with a legal entity; the role is remote, with Bengaluru as the office but eligibility to work remotely across India. The future team aims to become a 100-year company through a world-class engineering organization of empowered teams equipped with the tools and infrastructure to do their best work. As part of a unified R&D team, engineering prioritizes moving customers to the cloud while continuing to deliver value across Jira, Confluence, Trello, and Bitbucket. They’re seeking people who want to shape the future and believe in what we can achieve together, and you will report to an Engineering Manager in the R&D teams. You’ll build and ship features daily in a highly scalable, cross-geo environment, participate in an open, collaborative culture, review code for readability and reliability, mentor teammates, ensure visibility and monitoring of backend services, and engage in Agile ceremonies.

Atlassian offers flexible work arrangements, allowing employees to work from the office, from home, or in a hybrid setup, and they hire in any country where they have a legal entity; this is a remote position with a Bengaluru office and options to work remotely across India. The company aims to build a 100-year company with a world-class, empowered engineering organization within a unified R&D team, prioritizing cloud migration and delivering value across Jira, Confluence, Trello, and Bitbucket. You will report to one of the Engineering Managers in the R&D teams. Your responsibilities include building and shipping features daily in a highly scalable, cross-geo environment, collaborating in an open and collaborative setting with engineers, architects, product managers, and designers, and reviewing code with best practices for readability, testing, documentation, reliability, security, and performance. You will mentor teammates, ensure full visibility, error reporting, and monitoring of high-performing backend services, and participate in Agile software development, including daily stand-ups, sprint planning, team retrospectives, and show-and-tell demos.

Atlassian offers flexible work locations (office, home, or a hybrid) with globally hireable staff, and interviews and onboarding are conducted virtually as part of being a distributed-first company. Atlassian's products (Jira Software, Confluence, Jira Service Management) help teams collaborate, and major clients—including Fortune 500 companies and organizations like NASA, Audi, Kiva, Deutsche Bank, and Dropbox—rely on them. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and user expansion, nurturing relationships, and hitting revenue targets, while advocating for customers and feeding feedback to product and engineering, in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. It also involves developing and executing named Account or Territory plans (in India), driving growth and engagement, qualifying opportunities, conducting product demonstrations, staying informed on industry trends and competitors, and providing regular progress updates to management. Occasional travel to meet clients, attend events, and participate in intentional togetherness gatherings is required, all guided by Atlassian values as the compass for deploying Atlassian at scale.

Atlassian supports flexible work options (office, home, or hybrid), hires in any country with a legal entity, and conducts virtual interviews and onboarding as part of a distributed-first culture. It offers agile & DevOps, IT service management, and work management software (including Jira Software, Confluence, and Jira Service Management) to help teams organize, discuss, and complete work, serving a broad client base including Fortune 500 companies and notable names like NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, cross-sell and expand usage, nurtures relationships, and pursues revenue targets while advocating for customers and feeding feedback to product and engineering. Collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers is essential to guide deployment and utilization at scale, aligned with Atlassian values. They develop named Account or Territory plans (India) to maximize expansion and customer success, drive growth in the mid-market, qualify opportunities, deliver product demonstrations, provide regular progress updates, stay informed on market trends, and travel occasionally for client meetings and events.

Atlassian supports flexible, distributed work and hires globally, with interviews and onboarding conducted virtually. Its products—Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete work, trusted by the Fortune 500 and organizations like NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and expansion, nurturing relationships, and hitting revenue targets. They advocate for customers by feeding feedback to product and engineering, collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to improve deployment and experience at scale. Responsibilities include developing territory plans (e.g., India), driving growth in the mid-market, presenting product demos, staying informed on industry trends, reporting progress, and occasional travel to meet clients and attend events.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix of both. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company hires people in any country where it has a legal entity. In this role, you will define and implement a clear vision for your territory and regularly communicate on funnel/status, resource requirements, challenges, and successes. You will collaborate with cross-functional teams (Account Executives, Marketing, Customer Success, and Product), represent the Atlassian Service Collection at industry events, and work closely with Atlassian partner management as well as partners ranging from the world’s largest IT service providers to other professional services firms.

To realize its vision, Jira Platform will be guided by three forces: AI transformation to make Jira the agent-native system of record and control plane for human+AI teamwork, enterprise readiness to expand features and leverage Project Ascend to bring large enterprises to the Cloud, and efficiency to provide sound economics, faster developer productivity, and world-class reliability. AI transformation aims to make Jira the agent-native system for human+AI collaboration, enterprise readiness focuses on expanding enterprise capabilities and cloud adoption, and efficiency ensures a scalable, reliable platform that supports growing workloads. The future team centers on Jira Scalable Issue Search (JSIS), a foundational investment that moves searches to OpenSearch, handling about 3 billion requests per day with a multi-tenant architecture and 50+ engineers across India and Europe, prioritizing reliability and performance. JSIS is positioned to enable federated search across Jira portfolios and eventually across Atlassian products, unlocking new search experiences and higher volumes from agentic APIs and turning architectural migration into a broader strategic advantage. The team will own the long-term architecture, lead major initiatives across Jira Platform, define a 12–24 month roadmap for shared primitives, raise standards for reliability, performance, observability, security, and operational excellence, and provide hands-on technical leadership and mentorship through design reviews, incident investigations, and high-risk problem solving.

Jira Platform Vision: Jira Platform will be the trusted, agent-native system of record and control plane for human and agent teamwork at enterprise scale. The three guiding forces are AI Transformation (agent-native AI-enabled collaboration), Enterprise Readiness (investing in enterprise features and leveraging Project Ascend to bring large enterprises to the Cloud), and Efficiency (sound economics, developer productivity, and world-class reliability). The Your future team section highlights Scalable Issue Search (JSIS) as a foundational investment, moving structured searches to OpenSearch, handling ~3 billion requests per day with 50+ engineers across India and Europe focused on reliability and performance. Long-term opportunities include federated search across Jira portfolios and Atlassian products, enabling new search experiences and higher request volumes from agentic APIs, turning today’s architectural migration into a strategic advantage. Leadership responsibilities include owning the technical evolution and long-term architecture for enterprise data movement, governance, resiliency, and data health; defining a 12–24 month roadmap for shared platform primitives; raising standards for reliability, performance, observability, and security; and providing hands-on technical leadership and mentoring.

Atlassian's software helps teams plan, track, and collaborate, and its Audit Platform and Guard provide security and data governance to help admins maintain a secure, compliant posture at scale. Guard enables protection of sensitive data, governance, and risk management, helping leaders safely accelerate AI adoption and new ways of working. The company is looking for a Mobile Engineer to bring these security and audit experiences to mobile by building native iOS apps for monitoring activity, investigating issues, and staying in control remotely. The role involves designing, developing, and shipping iOS features in Swift, translating UX/UI designs into accessible interfaces, optimizing performance, and ensuring high reliability with crash monitoring and robust error handling. The engineer will collaborate with backend, platform, and web teams to maintain feature parity, handle sensitive data securely, maintain comprehensive tests, and may contribute to Atlassian's frontend web stack when needed.

Atlassian’s Audit Platform and Guard is the security and data-governance layer for Atlassian, providing admins with centralized controls and visibility to maintain a secure, compliant posture at scale and to support safe AI adoption. By helping security and IT teams protect sensitive data, uphold governance standards, and manage risk at scale, Guard enables leaders to safely accelerate AI adoption and new ways of working. The company is looking for a Mobile Engineer to bring these security and audit experiences to mobile by building native iOS apps that let customers monitor activity, investigate issues, and stay in control anywhere. Responsibilities include designing, developing, and shipping iOS features in Swift, translating UX/UI designs into accessible interfaces, optimizing performance, and maintaining reliability through crash monitoring and robust error handling. The role also requires collaborating with backend, platform, and web teams for feature parity, handling sensitive data securely, maintaining high test coverage, conducting code reviews, and possibly contributing to Atlassian's frontend web stack when needed.

Atlassian’s Audit Platform and Guard serve as the security and data-governance layer, providing admins with centralized controls and visibility to maintain a secure and compliant posture at scale. The platform helps security and IT teams protect sensitive data, uphold governance standards, and manage risk, enabling leaders to safely accelerate AI adoption and new ways of working. They’re seeking a Mobile Engineer to bring these security and audit experiences to mobile by building native Android apps that let customers monitor activity, investigate issues, and stay in control from anywhere. The role requires end-to-end ownership—from design through testing, rollout, and production support—collaborating with backend, platform, and product teams to deliver cohesive experiences across Atlassian products. Applicants must handle sensitive data responsibly, improve app performance and reliability, enhance the mobile developer experience, and be comfortable contributing to Atlassian’s frontend web stack when needed.

Atlassian's software helps teams plan, track, and collaborate while keeping work secure and reliable at massive scale. The Audit Platform and Guard provide the security and data-governance layer that gives admins centralized controls and visibility to maintain a secure, compliant posture. Guard helps security and IT teams protect sensitive data, uphold governance standards, and manage risk at scale, enabling leaders to safely accelerate AI adoption and new ways of working. Atlassian is hiring a Mobile Engineer to bring these security and audit experiences to mobile by building native Android apps that let customers monitor activity, investigate issues, and stay in control anywhere. The role involves end-to-end ownership of features, collaboration with backend, platform, and product teams, handling sensitive data securely, improving performance and developer experience, and contributing to Atlassian's frontend web stack when needed.

Atlassian is seeking a Senior Machine Learning Engineer to join the Rovo Agents quality team in Studio to build systems that measure how well AI agents perform and improve them for thousands of companies. Rovo Agents is a model-agnostic cloud platform where teams give agents instructions, knowledge, tools and skills to operate in Jira, Confluence, automation rules, or as autonomous agents. Because customers build agents themselves, quality can’t be checked only before release; we ask three questions of every agent: did it understand the task, did it use its tools and report honestly, and did the result actually help? The role involves designing, building, shipping, and operating evaluation and optimization systems, including offline evaluation suites, regression tests, and online production quality metrics, calibrating judges against human ratings and production signals. The team is based in Sydney and Melbourne with remote options; you’ll own projects end-to-end, contribute to design/code reviews, coach others, and work to improve agent quality across prompts, context, tool use, retrieval and routing while reducing cost and latency.

Atlassian is seeking a Senior Machine Learning Engineer to join the Rovo Agents quality team in Studio to build systems that measure and improve AI agents' performance for thousands of companies. Rovo Agents is a model-agnostic cloud agent platform where teams give agents instructions, knowledge, tools and skills to operate in Jira and Confluence, either within automation rules or as autonomous agents. Because customers build agents themselves, quality can’t be checked once before release; each agent has its own instructions, data and tools and any of them can be misconfigured or connected to a failing tool, so three questions are asked of every agent: did it understand and follow the task, did it use its tools correctly and report honestly what it did, and did the result actually help. You will design, build, ship and operate evaluation and optimization systems, including offline evaluation suites and benchmarks, online quality metrics on production traffic, and calibration of judges against human ratings while evolving evals to avoid saturation. You will use evaluation results to improve agent quality across prompts, context selection, tool use, retrieval and agent routing, with aims to reduce cost and latency and own projects from problem definition through deployment and ongoing measurement, while contributing to design reviews and coaching teammates.

- Atlassian offers flexible work options—office, home, or a hybrid—and hires people in any country with a legal entity, with Australia and New Zealand eligible for candidates who have sufficient timezone overlap. - If this sparks your interest, apply today and chat with our friendly Recruitment team. - Our team comprises amazing developers and designers focused on building simple, beautiful, and consistent user experiences for our web apps, and we are always growing, learning, and adapting, in and out of the office. - We are driven but team-oriented, dedicated to agile methodology and lean practices, and we validate our assumptions about users through various testing to improve the user experience. - As a frontend engineer, you will design, build, and maintain product and platform services and infrastructure powering Atlassian Cloud, working on always-on, low-latency, high-concurrency microservices for millions of users, with broad responsibilities across greenfield projects to shape the Atlassian Cloud Platform by designing, implementing, integrating, tuning, and resolving issues in new micro-services, libraries, tools, and applications.

Atlassian offers flexible work locations (office, home, or hybrid) and can hire in any country with a legal entity, with Australia and New Zealand candidates eligible if there is sufficient timezone overlap. If interested, you’re encouraged to apply and chat with the Recruitment team. The team comprises developers and designers focused on creating simple, beautiful, and consistent web app UX, and the culture emphasizes growth, continuous learning, direct challenge, agile/lean practices, user validation, and testing to improve the user experience. Atlassian is seeking experienced frontend engineers for Product and Platform teams to design, build, and maintain services and infrastructure powering Atlassian Cloud, including greenfield work. The role carries broad technical responsibilities across products and aims to shape the Atlassian Cloud Platform by designing, implementing, integrating, tuning, and resolving issues for new micro-services, libraries, tools, and applications to support millions of users.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country with a legal entity, with sufficient timezone overlap enabling hires from Australia and New Zealand. The team consists of developers and designers who strive for simple, beautiful, and consistent UX for Atlassian’s web apps, and they embrace continual learning, direct communication, and lean, agile practices. They emphasize validating user assumptions through various tests to improve the user experience. Atlassian is seeking experienced Frontend engineers for Product and Platform teams to design, build, and maintain product and platform services and infrastructure powering Atlassian Cloud, including always-on, low-latency microservices that scale to millions of users. The role carries broad technical responsibilities across greenfield projects, shaping the Atlassian Cloud Platform by designing, implementing, integrating, tuning, and solving issues in microservices, libraries, tools, and applications using modern web architectures and distributed systems.

Atlassian offers flexible work arrangements and hires globally, with this role requiring you to be located in India to collaborate with teams in India, Australia, and leadership in the United States. The position leads the TDP Insights and Atlassian Data Resiliency (ADR) engineering team within the Trusted Data Platform, which provides secure, scalable data capabilities to meet enterprise needs like data residency, encryption, compliance, backup, and multi-cloud operation. TDP Insights turns high-volume telemetry into actionable insights on data location, movement, cost, reliability, and usage to inform decisions on reliability, capacity, cost, compliance, and developer experience, while ADR delivers common backup/restore capabilities, validation, and standardized resiliency across TDP data platforms. Responsibilities include building and developing a high-performing, inclusive team; defining strategy and roadmaps; managing cross-functional dependencies; setting technical and operational standards; and balancing delivery with platform simplification and technical debt. The role also covers owning operational health, incident response, and enterprise needs (data residency, security, disaster recovery, multi-cloud), and requires partnering with product, security, reliability, infrastructure, FinOps, and engineering stakeholders while guiding investment decisions to maximize customer trust and platform value.

- Atlassian supports flexible work locations, but this role requires you to be located in India to collaborate with teams in India, Australia, and leadership in the United States. - The position centers on Atlassian’s Trusted Data Platform (TDP), including TDP Insights for analytics and Atlassian Data Resiliency (ADR) for end-to-end data recovery across multi-cloud environments and regulatory requirements. - They are seeking a Senior Engineering Manager to lead the TDP Insights and ADR engineering team, responsible for the team’s people, strategy, execution, and operational outcomes. - Responsibilities include building an inclusive, high-performing distributed team, defining roadmaps, surfacing delivery risks and dependencies, and delivering measurable outcomes in platform health, cost, compliance, and recovery readiness. - The role requires cross-functional leadership across product, security, reliability, FinOps, and infrastructure, architectural direction for telemetry and backup/recovery, and ownership of cost posture and investment decisions to maximize customer trust and platform value.

Atlassian is seeking a Principal Machine Learning Engineer to set the technical direction for AI agent quality in Studio, a hands-on leadership role that will shape how agents built on the Rovo platform perform. The role owns the agent quality architecture, defining metrics, production traffic sampling, evaluation criteria, and how results roll up without obscuring important failure modes, including applying the three questions of whether an agent understood and followed instructions, used tools correctly, and delivered a helpful result. You’ll design for cost and accuracy, deciding which quality checks can be deterministic, which require behavioral heuristics, and which need contextual model-based judgment, and build the evaluation system around those decisions with benchmarks, datasets, environments and observability. You’ll make quality part of shipping by setting regression gates, pre-release checks, and drift detection on production traffic, while leading hard problems like agent selection and routing, tool-use reliability, and automations without user feedback. You’ll lead technical direction across teams with a multi-quarter roadmap, partner with product, data science and central AI teams and model providers, mentor engineers, and grow ML craft in a team primarily composed of software engineers based in Sydney and Melbourne (with remote options).

Atlassian is seeking a Principal Machine Learning Engineer to set the technical direction for AI agent quality in Studio’s Rovo Agents platform, a model-agnostic cloud agent system used in Jira and Confluence. Since customers build agents themselves, quality must be assessed continuously, guided by three questions: did the agent understand and follow the task, did it use its tools correctly and report honestly, and did the result actually help. You will own the agent quality architecture, defining metrics, how production traffic is sampled, how results are judged, and how to reveal important failure modes without hiding them behind a single score, balancing cost and accuracy. You will design evaluation and experimentation by defining benchmarks, datasets, evaluation environments, and observability, and guide reproducible experiments that inform model, prompt, and launch decisions, including regression gates and drift detection on production traffic. The role includes leading hard quality problems hands-on, setting a multi-quarter roadmap across product, data science, and central AI teams, mentoring engineers in a Sydney/Melbourne-based team with remote options, and partnering with model providers to improve agent quality.

At Atlassian, the mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket, and the Bengaluru office offering TEAM Anywhere remote options across India. The KubePlat Team owns Atlassian’s entire Kubernetes ecosystem, managing hundreds of production clusters across AWS, GCP, and regulated environments, along with fleet management, platform-as-a-service, cloud resource provisioning, secure sandboxing, software delivery, and AI/ML infrastructure. The company is undergoing a major transformation to a multi-cloud, cell-based architecture to meet FedRAMP and data-residency requirements and to enable scalable AI training and inference. As a Principal Engineer, you will set the technical direction for Kubernetes, compute, and AI/ML infrastructure, leading engineers across multiple teams on some of the hardest problems and guiding large cross-team initiatives from design to launch. Your responsibilities include defining a multi-year architecture roadmap, designing Kubernetes-native control planes for self-serve resources, improving reliability and security with SLOs and progressive rollouts, optimizing compute and costs, building AI/ML infrastructure for GPU and high-performance workloads, and mentoring senior engineers.

- Atlassian India is hiring a Principal Engineer for the KubePlat team in Core Engineering, offering TEAM Anywhere with Bengaluru as a base and remote options across India. - The KubePlat team owns Atlassian’s entire Kubernetes ecosystem, including production clusters on AWS, GCP, and regulated clouds, fleet management, Kubernetes Platform-as-a-Service, cloud resource management, secure sandboxing, software delivery, and AI/ML infrastructure. - Atlassian is undergoing a major transformation to a multi-cloud, cell-based architecture to meet FedRAMP and data-residency requirements and to support AI training and inference at scale. - As a Principal Engineer, you will set the technical direction and lead engineers across multiple teams on large, cross-team initiatives from design to launch. - Responsibilities include defining a multi-year architecture roadmap for the Kubernetes fleet, designing Kubernetes-native control planes, improving reliability and security with SLOs and progressive rollouts, optimizing compute and cost, building AI/ML infrastructure on Kubernetes, and mentoring senior engineers while influencing product and engineering leaders.

Atlassian supports flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. SMB Account Executives guide customers through the Atlassian cloud journey, with the main goal of demonstrating how Atlassian products align with SMB objectives. Operating at scale, Sales Associates advocate for customers and provide insights to product, engineering, and marketing teams to improve the experience, collaborating with Product specialists and Marketing; SMB AEs focus on the top 30,000 SMB customers. The role reports to the Sales Manager in the relevant geographic region and is remote. Responsibilities include following up on inbound leads, outbound prospecting, qualifying needs via a consultative approach, demonstrating value and ROI, developing territory account plans to meet quotas, and staying informed on industry trends and competitors.

Atlassians can work in an office, from home, or a combination, and the company hires in any country where it has a legal entity, giving employees control over family, personal goals, and other priorities. SMB Account Executives guide customers through their Atlassian cloud journey and demonstrate how Atlassian products can support their objectives, while Sales Associates advocate for customers at scale and provide insights to product and engineering teams. This work is done in close collaboration with Product specialists and Marketing, and SMB AEs are known for being customer-centric and resource-efficient as they serve the top 30,000 SMB customers, reporting to the Sales Manager in their region, with a remote and autonomous role. In your role, you'll follow up on qualified inbound leads and drive outbound prospecting to generate new and expansion pipeline for SMB accounts, qualify customer needs through a consultative sales approach, and demonstrate value and ROI to drive adoption and upsell opportunities. You'll develop territory account plans to meet or exceed quota, staying current on industry trends, market dynamics, and competitor activities to inform strategy and customer conversations.

As an SMB+ Inside Sales Manager, SEA, you will build and lead a Metro Manila–based team to expand Atlassian’s footprint across Indonesia, Malaysia, the Philippines, and Singapore, in support of a new inside sales pilot that establishes a repeatable, consultative motion for under-penetrated accounts between self-serve and high-touch enterprise coverage. You will coach Core Account Executives to create pipeline and convert whitespace through net-new acquisition, reactivation of recently expired entitlements, and free-to-paid opportunities in larger unmonetized accounts, while setting a core execution cadence, connecting customer needs to the Atlassian platform, and refining the playbook as the pilot grows. You will partner with Marketing, Growth, Solutions Engineering, RevOps, Product, and Channel to test territory and segmentation hypotheses, strengthen forecasting, and document what works across distinct SEA markets, acting as a hands-on builder who turns product signals and seller feedback into measurable improvements in conversion and sales productivity, including thoughtful use of AI and automation. You will lead, coach, and develop a hub-based SEA inside sales team of Core AEs and JSM overlays, with accountability for pipeline creation, conversion, forecast accuracy, and customer outcomes, and you will build targeted inbound and outbound plays for net-new accounts, winbacks of recently expired entitlements, and free-to-paid conversion in high-potential accounts with approximately 250+ knowledge workers. You will establish clear account ownership and co-selling cadences between Core AEs and JSM specialists to accelerate multi-product opportunities and IT service management adoption, coach consultative discovery and value-based positioning across a high-velocity portfolio, inspect territory coverage and pipeline in Salesforce, manage cross-market forecasts and risks, measure pilot performance by source, segment, conversion, deal size, and seller productivity, and codify repeatable plays with Marketing, Growth, Solutions Engineering, RevOps, Product, and Channel to inform future scale, including signal-based prioritization, AI-assisted workflows, and practical automations that reduce manual work and improve seller time with customers and sales outcomes.

As an SMB+ Inside Sales Manager based in Metro Manila, you will lead a SEA expansion team to grow Atlassian’s footprint across Indonesia, Malaysia, the Philippines, and Singapore as part of a new inside sales pilot that sits between self-serve and high-touch enterprise coverage. You will coach Core Account Executives to build pipeline and convert whitespace through net-new acquisitions, reactivation of recently expired entitlements, and free-to-paid opportunities in large unmonetized accounts, while establishing a repeatable execution cadence and connecting customer needs to the Atlassian platform. You will partner with Marketing, Growth, Solutions Engineering, RevOps, Product, and Channel to test territory and segmentation hypotheses, strengthen forecasting, document effective approaches across SEA markets, and translate product signals and seller feedback into measurable improvements, including AI and automation. You will lead a hub-based SEA inside sales team of Core AEs and JSM overlays, responsible for pipeline creation, conversion, forecast accuracy, and customer outcomes; build targeted inbound/outbound plays for net-new, winbacks, and free-to-paid conversions in 250+-seat knowledge worker accounts, with clear account ownership and co-selling cadences between Core AEs and JSMs. You will coach consultative discovery and value-based positioning across four markets, inspect territory coverage and Salesforce pipelines, measure pilot performance by source/segment/conversion/deal size/seller productivity, and codify repeatable plays with cross-functional partners while designing AI-assisted workflows and automations to reduce manual work and improve sales outcomes.

Atlassian offers flexible work locations—office, home, or a mix—with virtual interviews and onboarding as part of its distributed-first approach and hires globally wherever it has a legal entity. The company unleashes the potential of every team with its agile/DevOps, IT service management, and work management software (Jira Software, Confluence, Jira Service Management), used by the Fortune 500 and over 300,000 companies worldwide, including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. Their Mid-Market sales team manages mid-sized customers, pursuing cloud-first opportunities, cross-sell and user expansion, nurturing relationships, and meeting revenue targets, while advocating for customers and providing feedback to product and engineering; colleagues include Channel Partners, Product Specialists, Account Managers, and Solution Engineers. Responsibilities include developing and executing named account or territory plans (India) to maximize expansion and ensure high customer success, driving growth and engagement in the mid-market, identifying opportunities, conducting product demos, coordinating with internal teams to improve satisfaction, and reporting progress to management while staying aware of market trends and competitors. Travel is occasional to meet clients, attend industry events, and participate in intentional togetherness gatherings as required.

At Atlassian, employees can work from an office, home, or a combination, giving them control over family, personal goals, and other priorities, and the company hires people in any country where it has a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. Atlassian’s products—Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete work, and are used by the Fortune 500 and over 300,000 companies worldwide, including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and user expansion opportunities, nurturing relationships, and achieving revenue targets, while serving as a strong advocate for customers and providing feedback to product and engineering, in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The role involves developing and executing named Account or Territory plans (India) to maximize expansion across a broad product portfolio and ensure high customer success, driving growth and engagement within the mid-market, qualifying opportunities, conducting product demonstrations, and proposing suitable solutions. Responsibilities also include providing regular updates to management, staying updated on industry trends and competitor activity, and traveling occasionally to meet clients, attend industry events, conferences, and intentional togetherness gatherings as required.

Atlassian supports flexible work locations with a distributed-first approach, hiring worldwide where they have a legal entity, and conducting virtual interviews and onboarding. Atlassian's products—Jira Software, Confluence, Jira Service Management—help teams organize, discuss, and complete work, enabling a wide range of customers including Fortune 500 companies and NASA to collaborate and deliver quality results. The Mid-Market sales team focuses on managing a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-selling and user expansion, meeting revenue targets, and advocating for customers by feeding feedback to product and engineering teams while collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The role involves developing and executing named Account or Territory plans (India), driving growth and engagement in mid-market, qualifying opportunities, building relationships, delivering product demos, coordinating with internal teams to improve satisfaction, providing regular updates to management, and staying informed on industry trends and competitors. Travel is occasionally required to meet clients and attend industry events and gatherings.

GitLab is an AI-powered DevSecOps platform that helps organizations boost developer productivity, operational efficiency, security, and digital transformation, with more than 50 million registered users and strong Fortune 100 adoption. The company emphasizes AI as a core productivity multiplier and promotes a high-performance, inclusive culture where every voice is valued. The role is Strategic Account Executive on the FINS Enterprise team, focused on helping large, regulated organizations adopt and expand GitLab’s AI-powered DevSecOps across CI/CD automation, secure development, and infrastructure modernization. Responsibilities include driving the full sales cycle in complex enterprises, coordinating with Solutions Architects, Customer Success, and partners, developing structured account plans, ensuring rollout and ongoing adoption, and articulating customer value to internal teams. Requirements include experience selling to large enterprises, strong C-level relationships, multi-stakeholder consultative selling, and willingness to travel; the US base salary range is $114,800–$186,600 with up to 100% incentive pay, plus benefits and remote/global hiring options, with GitLab as an equal opportunity employer.

GitLab is an intelligent DevSecOps orchestration platform used by more than 50 million registered users and trusted by a large portion of the Fortune 100, with AI embedded as a core productivity multiplier across its culture. The role is Strategic Account Executive for the San Francisco region, aiming to drive enterprise growth by helping AI-native companies adopt and expand GitLab's AI-powered DevSecOps platform. You’ll lead strategic growth across SF enterprise accounts, orchestrate cross-functional teams, craft strategic account plans, and guide end-to-end customer journeys from discovery to implementation. Qualified candidates will have experience selling to large enterprise accounts in SF, familiarity with the AI/ML landscape, ability to build trusted executive relationships, and strong multi-stakeholder sales and travel readiness. The position offers a United States base salary range of $124,000–$186,600 plus incentive pay up to 100% of base salary, comprehensive benefits, equity, growth opportunities, and GitLab’s commitment to equal opportunity and inclusive hiring.

GitLab describes itself as an intelligent DevSecOps orchestration platform that boosts developer productivity, efficiency, security, and digital transformation, with AI embedded in both its products and its daily work culture. The Staff Product Manager for Planning role focuses on rethinking software planning as a collaboration between people and AI agents, turning intent into actionable work and aligning planning with business priorities and budgets. You will share ownership of planning capabilities (work items, boards, specifications, and portfolio planning) with another PM, work with engineering and design to translate direction into a roadmap, and clearly communicate recommendations to senior leaders. The ideal candidate has experience leading product strategy for software development, DevOps, or planning tools, can defend a POV in a changing market, and connect forward-looking strategy to practical product decisions across cross-functional teams. GitLab offers remote, worldwide hiring with a US base salary range of $168,000–$285,600, along with extensive benefits, equity, and a commitment to equal opportunity and accommodations.

GitLab is an intelligent DevSecOps orchestration platform used by more than 50 million registered users and trusted by over 50% of the Fortune 100, with a culture that treats AI as a core productivity multiplier and values diverse, collaborative work. As a Senior Solutions Architect in GitLab's Southern EMEA team, you will be a trusted advisor to MEA prospects and customers, guiding digital transformation from planning to monitoring, owning technical evaluations (proofs of value, workshops, tenders) and acting as the voice of the customer back to Product Management, while partnering with Account Executives to drive platform adoption and revenue growth. You will lead technical discovery, demos, and validation to show how GitLab's AI-powered DevSecOps platform meets technical and business needs across the full lifecycle, design solutions, run proofs of concept or value, shape architectures, and develop workshops and value-stream assessments. Required experience includes technical pre-sales or consulting, end-to-end SDLC and modern DevSecOps practices, hands-on GitLab or similar tools, cloud deployment and security discussions, ability to lead evaluations, and clear technical communication with fluency in Arabic. The role is remote and part of GitLab's Sales organization, with benefits such as flexible time off, equity, parental leave, and a commitment to equal opportunity and inclusive hiring; the company notes location-based eligibility, privacy considerations, and accommodation options.

GitLab is an intelligent orchestration platform for DevSecOps that boosts developer productivity, efficiency, security, and digital transformation, with AI embedded in daily workflows and a culture that values every voice. The Senior Product Manager for Switchboard will shape how customers manage GitLab Dedicated infrastructure and how engineering teams run the growing fleet of customer instances, since Switchboard is the control plane for Dedicated. You will own the vision and roadmap for Switchboard, connect customer needs to internal priorities, work with engineering and SRE to improve operational tools, and enhance the customer-facing console for infrastructure configuration, networking, authentication, and health monitoring while addressing migrations and incident management. Qualifications include owning a product vision and roadmap, translating infrastructure tradeoffs into product decisions, a strong UX focus, direct customer communication, independence, and optional experience with control planes, cloud management consoles, or migrations. GitLab offers remote roles worldwide with a US base salary range of $139,200–$235,200 (excluding bonuses, equity, or benefits), plus benefits, equity, and growth opportunities, and emphasizes an equal opportunity policy with inclusive recruitment and accommodations as needed.

GitLab is an intelligent DevSecOps orchestration platform that boosts developer productivity, security, and digital transformation, with AI embedded as a core productivity multiplier and a high-performance culture. The Senior Professional Services Engagement Manager role in EMEA focuses on structuring and closing outcome-oriented professional services engagements that translate complex DevSecOps and digital transformation initiatives into clear, measurable outcomes. Responsibilities include building trusted advisor relationships, conducting discovery with prospects and System Integrators, designing outcome-oriented proposals and SOWs, structuring engagements and staffing, managing scope, price, contracting, and transitions to delivery while driving measurable bookings and customer success. The role requires progressive experience in pre-sales, SDLC/DevOps, cloud transformations, executive-level communication, cross-functional collaboration (sales, solutions architecture, delivery), and the ability to work autonomously and asynchronously in a fully remote setting. GitLab offers a broad benefits package (flexible PTO, ERGs, equity compensation/employee stock purchase plan, growth funds, parental leave) and maintains an equal opportunity, inclusive workplace with privacy considerations and global remote hiring guidelines.

GitLab is an intelligent orchestration platform for DevSecOps used by 50M+ registered users and many Fortune 100 companies, and it promotes AI as a core productivity multiplier within a high-performance, inclusive culture. The role is Manager or Senior Manager, Solutions Architects for Enterprise in the San Francisco Bay area, leading a distributed team of intermediate and senior Solutions Architects serving enterprise customers in the West territory to validate GitLab's Enterprise Edition and drive platform adoption. Responsibilities include coaching and developing the team, hiring and onboarding, guiding opportunities from discovery through technical validation and adoption, ensuring high-quality evaluations and demos, and collaborating with Sales, Engineering, Product Management, and Marketing while defining KPIs. The Enterprise Solutions Architect team operates remotely across North America with a handbook-first approach, focusing on deepening technical adoption and aligning customer goals with architectural recommendations and cross-functional strategy. Compensation includes US-base salary ranges and OTE for Manager and Senior Manager levels, plus benefits such as paid time off, equity, parental leave, and growth programs, with GitLab standing as an equal opportunity employer and following location-based hiring guidelines.

GitLab describes itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, and security/compliance, with 50M+ users and broad Fortune 100 adoption, and a culture that treats AI as a core productivity multiplier. The role is Major Account Executive on the FINS Enterprise team, targeting large, regulated enterprises to adopt and scale GitLab’s AI-powered DevSecOps platform across CI/CD automation, secure development, and infrastructure modernization, while acting as a trusted long-term partner. You’ll own the full sales cycle for assigned accounts, develop structured account plans, coordinate with Solutions Architects, Customer Success, Support, and channel partners, and drive adoption, expansion, and measurable outcomes with regular business reviews. Candidates should have experience selling complex B2B software to large enterprises, ability to engage C-level stakeholders across business and technical teams, and a consultative, multi-stakeholder sales approach, with travel as needed; familiarity with Git and development tools is a plus. The role is remote (all-remote team) with a US salary range of $114,800–$186,600 base plus up to 100% incentive pay, plus benefits such as time off, equity, growth funds, parental leave, and GitLab’s equal-opportunity, inclusive hiring policies.

GitLab is an intelligent DevSecOps platform that aims to boost developer productivity, operational efficiency, security/compliance, and digital transformation, with over 50 million registered users and Fortune 100 adoption, and it treats AI as a core productivity multiplier embedded in daily workflows. The company emphasizes a high-performance, values-driven culture where every voice is valued, collaboration is key, and innovation is encouraged as a path to co-creating the future of software development. The role is an Intermediate Fullstack Engineer (Ruby/Vue.js) on the Growth team, focusing on turning the self-serve funnel into paying customers by improving the in-product journey from first visit to signup, trial, and purchase across GitLab.com and self-managed deployments, using Rails on the backend and Vue.js on the frontend. You will design and run A/B tests, build registration/trial/onboarding/upgrade experiences, analyze results with Data Analysts, define hypotheses and success metrics, maintain the experimentation framework, and collaborate with Product, UX, and other engineering teams to remove purchase barriers. The role requires experience with Ruby on Rails and modern JavaScript, relational databases, and shipping features, with preferred but not required skills including Vue.js, PostgreSQL, A/B testing, feature flags, experimentation frameworks, or SaaS sign-up/billing flows; the Growth team operates fully remotely, GitLab is an equal opportunity employer, and accommodations are available for applicants as needed.

GitLab is an AI-enabled DevSecOps platform with over 50 million users and Fortune 100 trust, promoting an AI-powered, inclusive, high-performance culture. The role is Intermediate Fullstack Engineer (Ruby/Vue.js) in Growth, focused on turning the self-serve funnel into paying customers across GitLab.com and self-managed GitLab, collaborating with Product, UX, and Data Analysts. You will design and iterate A/B tests to increase first purchases, improve registration/trial/onboarding/upgrade flows, implement Rails backend and Vue frontend features, analyze results, and maintain the experimentation framework while documenting decisions for distributed teams. Requirements include professional experience with Ruby on Rails and modern JavaScript, relational databases, shipping features, and data-driven decision making; preferred but not required are Vue.js, PostgreSQL, A/B testing, feature flags, experimentation frameworks, or SaaS sign-up/billing flows. The Growth team is fully remote; for Poland the base salary range is zł 248,000– zł 372,000, and GitLab is an equal opportunity employer with recruitment privacy and location-based eligibility considerations.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and many Fortune 100 companies, and the company emphasizes AI as a core productivity multiplier within a high-performance, inclusive culture. The Engineering Manager, Gitaly role leads a deeply technical team focused on Gitaly, GitLab’s Git data storage tier, covering development, scalability, tooling, and ongoing maintenance while balancing roadmap with product and infrastructure priorities. You will manage senior and staff engineers, foster a culture of technical rigor and ownership, drive long-horizon work on performance and core architecture, mentor engineers, enable asynchronous cross-functional alignment, and partner with teams like Git for performance and roadmap clarity. Requirements include experience managing engineering teams, a management philosophy that builds engineer agency and ownership, the ability to guide specialized engineers through ambiguity and high-stakes tradeoffs, strong written communication and remote collaboration, and a hands-on background in version control/distributed systems (ideally Go). The Gitaly team builds and maintains GitLab’s data storage tier, and GitLab offers remote roles with benefits, equity, growth opportunities, parental leave, and a strong commitment to equal opportunity and accommodation for disabilities or special needs.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security and compliance, and digital transformation, with over 50 million registered users and trust from more than half of the Fortune 100; the company embeds AI as a core productivity multiplier and fosters an inclusive, high-performance culture. The Ecosystem Operations Specialist role is to translate GitLab's ecosystem go-to-market strategy into reliable day-to-day execution, acting as the primary operational resource for sellers, Ecosystem Sales Managers, partners, and cross-functional teams from onboarding and deal registration to quoting and post-sales support. Responsibilities include executing partner workflows, processing quotes and orders, supporting marketplace and two-tier transactions, guiding partners through program compliance and attribution questions, routing exceptions to owners, improving partner programs and data quality, and maintaining Salesforce and partner-management data quality and reporting. Qualifications include relevant experience in partner or sales operations, enterprise quote-to-cash experience, Salesforce or partner-management systems, strong analytics and BI skills, and hands-on use of generative AI tools; preferred skills include Impartner, SQL, or Snowflake. The US base salary ranges from $86,400 to $146,400 with incentive pay up to 100% of base for sales roles, plus benefits, remote eligibility, and a strong commitment to equal opportunity employment and inclusive hiring practices.

GitLab is an 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 adoption by more than half of the Fortune 100, GitLab emphasizes AI as a core productivity multiplier that every team member should use daily. The Intermediate Backend Engineer role on the GitLab Orbit team focuses on building and operating a Rust-first Knowledge Graph service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You will implement backend features in Rust, maintain integrations with the Data Insights Platform and other parts of the stack, contribute to reliable, scalable system design, improve observability, and collaborate asynchronously with product, data, security, and AI teams, including some Ruby and frontend work as needed. The role requires production backend experience with a Rust-first mindset or ability to ramp quickly, exposure to distributed data or analytics, interest in graph data modeling and AI-assisted development, and comfort in a remote, high-ownership environment; the US base salary range is $115,200–$162,000 plus benefits, and GitLab is an equal opportunity employer with accommodations available.

As a Technical Account Manager at Zendesk, you’ll be an extension of our largest customers’ teams, blending technical expertise with business acumen to maximize value from Zendesk solutions and guide on implementation methodologies while designing technical solutions rather than performing implementations yourself. Core responsibilities include establishing relationships across all client levels, documenting CX/EX ecosystems, developing tailored Customer Technical Roadmaps, conducting regular reviews, orchestrating Zendesk resources, creating issue resolution plans, advocating for customer needs with product teams, and collaborating with other TAMs for continuous delivery excellence. Required qualifications include deep knowledge of Zendesk products, 10+ years of technical experience (at least 5 in enterprise environments), a proven track record leading customer-facing technical initiatives, experience in service management and SaaS/API/workflow implementations, and the ability to operate effectively in collaborative, matrixed environments. You’ll bring strategic vision to identify opportunities, translate business objectives into technical roadmaps, deliver measurable ROI, anticipate technology shifts, and provide leadership to align multiple stakeholders with competing priorities, all while pursuing continuous learning. Zendesk offers hybrid work with a location requirement of Karnataka or Maharashtra, along with equal opportunity, diversity, and accommodations commitments, and notes that AI may be used in screening applications; for accommodations, applicants can email the provided address.

Zendesk's Custom Agents group enables customers to build specialized AI agents that understand business context, reason through complex tasks, and take actions across Zendesk and connected systems, combining natural language instructions, enterprise knowledge, and tools to automate work while emphasizing reliability, configurability, and practicality for real business operations. The Senior Manager, Machine Learning will lead the development of the ML capabilities behind Custom Agents, set technical direction, build and develop a strong team, and turn advances in generative AI into dependable customer experiences with accountability for production delivery. You will set the ML strategy and roadmap, translate customer needs into priorities, balance foundational improvements with new capabilities, and guide work on agent reasoning, planning, tool selection, context management, knowledge grounding, and structured outputs. You will establish rigorous evaluation, develop representative benchmarks and automated scorers, own quality throughout the lifecycle, optimize performance and economics, and build trustworthy agent behavior with security and privacy considerations while partnering across the platform and adjacent teams to integrate Custom Agents into broader service workflows. The role requires a demonstrated track record of leading ML/AI teams delivering production systems with measurable customer impact, strong people management and cross-functional influence, deep practical knowledge of modern ML and generative AI, and a commitment to diversity, equity, and inclusion within a hybrid work environment.