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Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where they have a legal entity. Atlassian's DX Solutions Engineering team seeks a Solutions Architect to drive successful adoption and long-term growth of the DX product (getdx.com) for Enterprise customers. The role will lead post-sales technical implementation, partnering with Customer Success Managers to handle onboarding, complex integrations, and system architecture for a smooth transition from evaluation to production. It involves architecture and strategy work, including deep-dive sessions to map the DX platform to the client’s workflows and designing custom solutions that connect DX APIs to complex environments. Additional duties include consultative implementation, acting as a trusted advisor on best practices for DX analytics and deployment, and feeding feedback to Product and Engineering to inform the roadmap.

Atlassian supports flexible work options, allowing employees to work in an office, from home, or in a hybrid setup, and hires in any country where it has a legal entity. The DX Solutions Engineering Team at Atlassian is seeking a skilled Solutions Architect to drive adoption and long-term growth of the DX product (getdx.com). The role acts as the technical authority for Enterprise customers after the sale, focused on solving complex implementation challenges and ensuring maximum value from the solutions. Key responsibilities include leading technical implementation—onboarding, complex integrations, and system architecture—plus architecture and strategy sessions to align the DX platform with a customer’s goals and designing custom solutions that connect DX APIs to client environments. Additional duties involve consultative implementation, acting as a trusted advisor on best practices, and capturing feedback to inform the product roadmap and enhancements.

Atlassian offers flexible work options (office, remote, or a blend) and hires in any country where it has a legal entity. Search Platform's mission is to power trusted, cross-product knowledge search for people and agents, with agentic search pushing AI search boundaries and redefining context search. In this role, you'll lead the search and ML architecture that determines quality, latency, cost, and reliability at scale and set the department's technical direction. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval, inference, serving infrastructure), driving improvements via rigorous experimentation, pursuing ambitious moonshots, leading end-to-end model optimization, and defining ML systems standards, while mentoring senior engineers. You'll partner with Search Quality, ML Platform, and product teams to align roadmaps and translate ambiguous problems into clear technical bets with measurable success criteria.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity. The Search Platform's mission is to power trusted cross-product knowledge search and discovery across Atlassian surfaces, with agentic search pushing the boundaries of current systems. The role will lead the search and ML architecture governing search quality, latency, cost, and reliability at scale and define the department's technical direction. Responsibilities include setting ML-based search serving direction (ranking models, retrieval, inference pipelines, serving infrastructure), driving measurable improvements, pursuing ambitious moonshots, and end-to-end model optimization plus ML systems standards. It also involves mentoring senior engineers, partnering with Search Quality, ML Platform, and product teams, and translating ambiguous problems into clear technical bets with measurable success criteria.

Atlassian offers flexible work arrangements—office, remote, or hybrid—and hires in any country where they have a legal entity. Search Platform's mission is to power trusted cross-product knowledge search and discovery for people and agents across Atlassian surfaces, with Agentic search pushing the boundaries of context search and AI. The role will lead the ML-based search architecture that drives search quality, latency, cost, and reliability at scale and set the department's technical direction. Responsibilities include setting technical direction for ranking models, retrieval architectures, inference pipelines, and serving infrastructure; driving improvements through rigorous experimentation; pursuing moonshots; and end-to-end model optimization with production observability. It also involves mentoring senior engineers, partnering across teams to align roadmaps and unblock high-impact work, and translating ambiguous problems into clear, measurable technical bets.

At Atlassian, employees can work from an office, from home, or a mix, and the company hires globally where it has a legal entity. The Search Platform mission is to power trusted cross-product knowledge search and discovery for people and agents across Atlassian’s surfaces, with agentic search pushing the boundaries of what’s possible today. The role involves leading the search and ML architecture that powers search quality, latency, cost, and reliability at scale and setting the department’s technical direction. Responsibilities include setting ML-based search serving direction, driving measurable improvements through experiments, pursuing ambitious moonshots, end-to-end model optimization, and enforcing ML systems standards. The role also entails mentoring senior engineers, collaborating with Search Quality, ML Platform, and product teams, and translating ambiguous problems into clear technical bets with measurable success criteria.

Atlassian allows employees to work anywhere—office, home, or a hybrid—and hires globally where they have a legal entity. The Search Platform’s mission is to power trusted cross-product knowledge search and discovery for people and agents, with agentic search aiming to redefine AI context search. The role involves leading the search and ML architecture that drives search quality, latency, cost, and reliability at scale and setting the department’s technical direction. Responsibilities include defining ML-based search serving (ranking models, retrieval architectures, inference pipelines, serving infrastructure), driving improvements through rigorous experimentation, pursuing ambitious moonshots, end-to-end model optimization, and establishing ML system standards like evaluation, shadow testing, rollout safety, and observability. It also entails mentoring senior engineers, collaborating with Search Quality, ML Platform, and product teams to align roadmaps, unblock high-impact work, and translate ambiguous problems into clear, measurable technical bets.

Atlassian offers flexible work options—office, remote from home, or a hybrid—and hires globally in countries where it has a legal entity. You will join the Rovo Chat Quality team within the Rovo + AI organization, working to turn “make Rovo better” into lasting customer value by building evaluation systems, datasets, quality signals, and production ML capabilities. As a Senior Machine Learning Engineer, you’ll stay hands-on while guiding cross-team efforts to advance models, agents, and evaluation, translating them into measurable improvements for millions of active users and building scalable production ML and evaluation systems (datasets, simulations, automated judges, regression suites, experimentation platforms, and online signals). You’ll push Rovo’s agentic capabilities—reasoning, planning, tool selection and use, action correctness, retrieval, memory, and long-horizon execution—while closing the loop between evaluation and product impact by identifying failure modes, shipping interventions, and validating customer outcomes. The ideal candidate has a track record shipping large-scale ML/AI systems with measurable business impact, deep experience with LLM-powered products and agentic systems, strong production engineering and leadership skills, and the ability to communicate clearly and mentor others.

Atlassian lets you choose where you work and hires in any country where it has a legal entity, as it builds Rovo—an intelligent teammate designed to shape the next era of AI-assisted teamwork. You’ll join the Rovo Chat Quality team to turn “make Rovo better” into measurable customer value by building evaluation systems, datasets, quality signals, and production ML capabilities that reveal where Rovo succeeds or falls short. As a Senior Machine Learning Engineer, you’ll stay hands-on while setting direction across teams, driving advances in models, agents, and evaluation to deliver measurable improvements for millions of active users. You’ll architect and scale production ML and evaluation systems—datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals—balancing quality with latency, reliability, safety, and cost. The role requires a track record of shipping large-scale ML/AI systems with measurable customer and business impact, deep experience with LLM-powered products and agentic systems, strong production engineering, and technical leadership to mentor and align teams.

Atlassian offers flexible work locations (office, home, or a hybrid) and hires in any country where they have a legal entity, serving more than 300,000 customers worldwide. The company’s mission is to unleash every team’s potential through software, guided by a culture of supporting each other and the value “play as a team,” with employees working with Atlassian, not for Atlassian. The sales role features strong earning potential and targets a vast enterprise market, focusing on building relationships with key stakeholders and collaborating with internal teams to ensure customer success. Responsibilities include developing named account or territory plans, executing strategic sales efforts, qualifying leads, presenting to decision-makers, negotiating contracts, closing deals, and providing accurate forecasting while maintaining executive relationships. Additional duties involve staying industry-aware, traveling to meet clients, building long-term sales strategies for designated accounts, and working cross-functionally with channel sales to navigate complex sales cycles and drive revenue growth.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, serving 300,000+ customers worldwide. Their mission is to unleash the potential of every team through software, supported by a culture of teamwork—“play as a team”—where employees work with Atlassian, not for Atlassian, and there is strong earning potential in sales due to the enterprise market. The sales role involves building and nurturing relationships with key stakeholders, negotiating complex contracts, and collaborating with internal teams such as Channel Partners, Product Specialists, Account Managers, and Solution Engineers to ensure customer satisfaction. The ideal candidate is customer-focused, creative, with a hunter mindset, adept at identifying business needs and crafting solutions for Fortune 500 companies. Responsibilities include developing and executing territory or named-account plans, leading strategic sales initiatives, qualifying leads, maintaining executive relationships, cross-functional collaboration, pricing negotiations, accurate forecasting, staying updated on industry trends, traveling as needed, and running strategy plays to identify opportunities and build long-term relationships in complex sales cycles.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, serving 300,000+ customers and aiming to unleash every team’s potential through collaborative software, with a culture where employees work with Atlassian, not for Atlassian. The company emphasizes teamwork, celebrating wins and sharing knowledge, and provides strong earning potential for sales roles in a large enterprise market, with customers including NASA, IBM, Hubspot, Samsung, Booking.com, Heineken, IKEA, and Coca-Cola. The sales role focuses on building and nurturing relationships with key stakeholders, negotiating complex contracts, and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to ensure customer satisfaction for Fortune 500 clients. You’ll develop and implement named account or territory plans, craft strategic sales plans to meet goals, identify leads, present solutions, negotiate pricing, close deals, and provide accurate forecasting and account planning, while staying abreast of industry trends. The role requires travel as needed, serving as the main Atlassian contact or escalation point for designated accounts, running strategy plays, and working cross-functionally with Channel sales to manage complex sales cycles and build long-term relationships and revenue.

Atlassian lets employees choose where to work—office, home, or a mix—and supports personal priorities, with hiring possible in any country where the company has a legal entity. The role is Principal Software Engineer (P60) in the Rovo & AI engineering org, serving as the lead technical architect for next-generation third-party connectors and enterprise integrations. Its mission is to build, harden, and scale connectors that reliably ingest enterprise knowledge, map complex access permissions, and feed high-fidelity signals to Atlassian’s AI experiences like Search, Chat, and Agents under Rovo. Responsibilities include leading connector architecture—defining vision and roadmaps—designing scalable data ingestion and near-real-time delta-sync pipelines, and standardizing execution with shared orchestration patterns. The role also focuses on accelerating engineering with AI, enabling downstream AI experiences with RAG and enterprise search, establishing SLOs and observability for reliability, and mentoring engineers through technical designs and RFCs.

- Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country with a legal entity to support personal and family priorities. - The role is Principal Software Engineer (P60) in the Rovo & AI engineering org, serving as the lead technical architect for next-generation third-party connectors and enterprise integrations that feed Atlassian’s AI experiences like Search, Chat, and Agents. - Responsibilities include leading connector architecture with a vision, roadmap, and design principles for building, scaling, and modernizing connectors across major SaaS ecosystems. - It also covers scaling ingestion and data freshness via high-throughput extraction and delta-sync pipelines, and standardizing execution by aligning connectors to shared distributed task and scheduling patterns. - Additional duties include accelerating engineering craft with AI-enabled workflows, enabling downstream AI experiences with optimal context, establishing SLOs and observability for reliability, and mentoring engineers through technical designs and RFCs.

Atlassians can choose where they work—office, home, or a combination—and Atlassian hires people in any country where it has a legal entity. The role is Principal Software Engineer (P60) in the Rovo & AI engineering org, serving as the lead technical architect for next‑generation third‑party connectors and enterprise integrations to ingest enterprise knowledge, map complex access permissions, and feed high‑fidelity signals to AI experiences like Search, Chat, and Agents under Rovo. You will lead Connector Architecture by defining the technical vision, architectural roadmap, and design principles for building, scaling, and modernizing connectors across major SaaS ecosystems. You will scale ingestion and data freshness by architecting high‑throughput data extraction and delta‑sync pipelines and standardize execution & runtimes by aligning connectors to shared distributed task and scheduling architectures. You will accelerate engineering craft via AI, enable downstream AI experiences by collaborating with Search, Graph, and AI teams, and mentor engineers while enforcing SLOs, observability, and reliability.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever there is a legal entity. The Principal Software Engineer (P60) in the Rovo & AI org will serve as the lead technical architect for next-generation third-party connectors that enable enterprise integrations and feed high-fidelity signals to Atlassian’s AI experiences such as Search, Chat, and Agents. Responsibilities include defining the technical vision and roadmap for building, scaling, and modernizing 3P connectors across major SaaS ecosystems. They will architect high-throughput data ingestion and delta-sync pipelines, standardize execution patterns with platform teams, and drive AI-assisted development to boost productivity and delivery speed. They will enable downstream AI experiences by structuring third-party context for RAG retrieval and enterprise search, establish SLOs, deep observability, and error budgets to ensure data freshness and resilience, and mentor engineers through technical designs and RFCs.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity to support employees' priorities. They’re seeking product-minded Principal Engineers, a hands-on senior individual contributor role that sits at the seam between deep technical craft and sharp product judgment. You’ll own customer-facing features end-to-end across the full stack (React/TypeScript front ends, backend services, and APIs), shaping what gets built and shipping measurable outcomes. Responsibilities include defining success metrics (north star and guardrails), instrumenting and monitoring with telemetry, running root-cause deep-dives, and designing AI-enabled and agentic experiences that integrate LLMs. You’ll set technical direction, influence product strategy, mentor others, and drive high-leverage prototyping to production-grade, scalable solutions.

Atlassian allows flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity. They are seeking product-minded Principal Engineers who are hands-on senior individual contributors, able to blend deep technical craft with sharp product judgment and own the work end to end. In this role you’ll own customer-facing products across the full stack—from React/TypeScript front ends to backend services and APIs—and drive architecture and decisions based on user and business outcomes. You’ll use telemetry and user data to define success metrics, monitor performance, perform root-cause analyses, and adjust plans as needed, while designing and building AI-enabled, agentic experiences that integrate LLMs for millions of users. The role also involves setting technical direction, collaborating with product managers, designers, and platform teams, mentoring others, and rapidly prototyping to production-grade, scalable solutions.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. They are looking for product-minded Principal Engineers for a hands-on, senior individual-contributor (P60) role who blend deep technical craft with sharp product judgment. You will own customer-facing products end-to-end across the full stack (React/TypeScript front ends, backend services, APIs) and drive what gets built to achieve measurable outcomes. You’ll use telemetry and user behavior to define success metrics, instrument and monitor, perform root-cause analyses, iterate, and design AI-enabled experiences integrating LLMs for millions of users. You’ll set technical direction, influence product strategy, collaborate with product managers, designers, and platform teams, and raise the engineering bar through code reviews and mentoring while moving high-leverage problems from prototypes to production-ready scale.

Atlassian offers flexible work options (office, home, or a mix) and hires globally in any country where they have a legal entity, giving employees control over family, personal goals, and priorities. They’re seeking product-minded Principal Engineers—a hands-on P60 individual contributor who sits at the seam between deep technical craft and sharp product judgment. You’ll own customer-facing products end to end across the full stack (React/TypeScript front ends, backend services, APIs), shaping what gets built and delivering AI-native and agentic experiences used by teams worldwide. Responsibilities include setting architecture and technical direction to align with user and business outcomes, using telemetry and metrics to define success, instrumenting and analyzing data, and refining designs accordingly. You’ll lead by craft, raise the engineering bar through code reviews and mentoring, partner with product managers, designers, and platform teams, and focus on high-leverage problems, rapid prototyping, and production-grade scale.

Atlassian offers flexible work locations and hires globally in any country with a legal entity, giving employees control over work-life priorities. They are seeking product-minded Principal Engineers—hands-on senior individual contributors who blend deep technical craft with sharp product judgment. You’ll own customer-facing features end-to-end across the full stack (React/TypeScript front ends, backend services, and APIs) and help shape what gets built, not just how. Responsibilities include making architecture and technical decisions aligned to user and business outcomes, using telemetry to define success metrics, and designing AI-enabled experiences that leverage LLMs for millions of users. You’ll set technical direction, collaborate with product managers, designers, and platform teams, elevate engineering quality through code reviews and mentoring, and move high-leverage prototypes toward production-scale systems.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity to support employees' family and personal goals. They’re looking for product-minded Principal Engineers — senior individual contributors who operate at the intersection of deep technical craft and sharp product judgment and own customer-facing products end-to-end. You’ll own features across the full stack (React/TypeScript front ends, backend services, and APIs), shape what gets built, and drive projects from ambiguous problems to shipped, measurable outcomes. You’ll design AI-enabled, agentic experiences by integrating LLMs, define success metrics, instrument and monitor outcomes, and set technical direction in collaboration with product managers, designers, and platform teams. You’ll raise the engineering bar through code reviews and mentoring, focus on high-leverage problems, prototype quickly, and push prototypes to production-grade quality at scale.

At Atlassian, employees can choose to work in an office, from home, or a mix of both, giving them greater ability to support family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat by introducing cutting-edge innovations and building agent harnesses that substantially improve quality, reliability, and latency. You’ll lead other engineers on projects from technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results, while ensuring AI’s transformative potential across Atlassian’s offerings. The Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for teams to find, understand, and act on their knowledge, and the team has achieved 10x growth in product surface over the past year.

At Atlassian, employees can work in an office, from home, or a hybrid, giving them flexibility to support family, personal goals, and priorities. The company hires globally in any country where it has a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat, Atlassian’s biggest bet and fastest-growing area, bringing cutting-edge innovations to the product. You’ll build agent harnesses that improve quality, reliability, and latency, lead other engineers from design to launch, and collaborate with other teams and internal customers to set expectations and communicate results, while ensuring AI’s transformative potential across offerings. The Rovo & AI Engineering team aims to make Rovo the fastest, most trusted way for teams to find, understand, and act on knowledge, and they’ve achieved 10x growth in the product surface over the past year.

Atlassians can choose where they work—office, home, or a hybrid—and the company hires in any country where it has a legal entity. The role is Principal ML System Engineer in the Rovo & AI Engineering org, focused on Rovo Chat and delivering bleeding-edge innovations to the product. You will lead other engineers from technical design to launch, build agent harnesses to improve quality, reliability, and latency, and collaborate with other teams and internal customers to set expectations and communicate results. The role is pivotal and aims to realize AI’s transformative potential across Atlassian’s offerings. The Rovo & AI Engineering team’s mission is to make Rovo the fastest, most trusted way to find, understand, and act on knowledge, with the product surface growing 10x over the past year due to their efforts.

Atlassians can work in an office, from home, or in a hybrid model to better support family, personal goals, and other priorities. Atlassian hires people in any country where the company has a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat—Atlassian’s biggest bet and fastest-growing area—by bringing cutting-edge innovations and building agent harnesses that dramatically improve quality, reliability, and latency. You will lead other engineers on projects from technical design to launch and collaborate with other teams and internal customers to set expectations and communicate results, with your role extending beyond these tasks to realize AI’s transformative potential across offerings. The Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for any team to find, understand, and act on their organization’s knowledge, and the team has achieved rapid progress, including a 10x growth in the product surface over the last year.

As a Principal Machine Learning Engineer, you will drive the development and deployment of cutting-edge ML algorithms, train sophisticated models, and collaborate with product, engineering, and analytics teams to embed AI capabilities into Atlassian products and services. Your responsibilities span designing system and model architectures, conducting rigorous experimentation and evaluations, and guiding emerging ML engineers to realize AI's transformative potential across our offerings. Technical Leadership & Execution: you will tackle the largest and most complex problems from technical design to launch, set the direction of systems and capabilities, balance progress over perfection, and plan approaches for large projects while solving architecture challenges. Model Development & Experimentation and Cross-Functional Collaboration: you will design, develop, and deploy production-grade ML models (e.g., ranking, retrieval, LLM-based systems) to optimize user experience and business objectives; conduct meticulous experimentation and feature engineering; oversee end-to-end deployment with continuous evaluation and improvement; collaborate with product managers, designers, and engineers and communicate complex concepts to both technical and non-technical stakeholders; and partner across engineering teams on company-wide programs. Mentorship & Organizational Impact and Decision Making & Direction: you will mentor and guide engineers, foster a culture of innovation and learning, contribute to scalable programs, identify and bridge gaps across teams, and quickly collate decision parameters to balance speed, risk, and impact while aligning contributions with larger products and platforms.

The Principal Machine Learning Engineer drives the development and deployment of advanced ML algorithms and collaborates with product, engineering, and analytics teams to embed AI capabilities into Atlassian products and services. Your responsibilities encompass designing system and model architectures, conducting rigorous experimentation and evaluations, and mentoring both junior and senior ML engineers to realize AI's transformative potential across offerings. Technical Leadership & Execution involves making complex decisions that influence multiple teams over quarters, tackling the largest problems from technical design to launch, and setting the direction of systems and capabilities while planning large projects and solving architecture challenges. Model Development & Experimentation includes designing, developing, and deploying production-grade ML models (such as ranking, retrieval, and LLM-based systems) to optimize user experience and business objectives, performing meticulous experimentation, developing robust feature pipelines, and overseeing end-to-end deployment with continuous evaluation and monitoring. Cross-Functional Collaboration, Mentorship & Organizational Impact, and Decision Making & Direction involve partnering with product managers, designers, and engineers to integrate AI into products, communicating complex concepts to diverse stakeholders, mentoring and scaling knowledge across the department, identifying and bridging gaps across teams, and balancing speed, risk, and impact while ensuring contributions align with larger products and platforms.

Atlassians can choose where they work—office, home, or a blend—and this flexibility supports family, personal goals, and other priorities, with hires possible in any country where Atlassian has a legal entity. As a Principal Engineer with the Deep Engineer archetype in the Kubernetes Platform, you will own technically complex, high-impact outcomes from problem definition through production, bringing deep expertise in agent infrastructure and distributed systems to shape the platform’s architecture and direction while weighing trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience, all while staying close to the code and operational reality. You will influence across teams and geographies, partner with product and engineering leaders, and raise engineers’ effectiveness through coaching, design leadership, and practical engineering standards; success will be judged by sustained outcomes—safer workloads, faster iteration, reliable services, and broad leverage across Atlassian. Responsibilities include defining and delivering the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads, leading architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities, and owning end-to-end outcomes for ambiguous cross-team initiatives from design and prioritization to launch, adoption, and measurable results. You will advance portable, cloud-native execution across GCP and AWS while balancing platform consistency with regional and workload needs, champion operational excellence for a tier-0 platform (reliability, security, privacy, incident learning, performance, and cost efficiency), improve the developer experience through self-service APIs, automation, paved paths, and clear platform contracts, and set direction through written proposals and thoughtful technical decisions while mentoring engineers to help grow an inclusive, high-performing team.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally in any country where it has a legal entity. As a Principal Engineer with a Deep Engineer archetype in Kubernetes Platform, you’ll own technically complex, high-impact outcomes from problem definition through production, bringing deep expertise in agent infrastructure and distributed systems to shape the platform’s architecture and direction. You’ll balance trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to the code and operations, influencing across teams and geographies, and partnering with product and engineering leaders. Success is measured by sustained outcomes—safer workloads, faster iteration, reliable services, and broader leverage—while you define the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads and lead architecture for isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities. You’ll own end-to-end outcomes for ambiguous cross-team initiatives, advance portable cloud-native execution across GCP and AWS, champion operational excellence for a tier-0 platform, improve developer experience through self-service APIs and clear platform contracts, and mentor engineers to build an inclusive, high-performing team.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where they have a legal entity, giving employees more control over family, personal goals, and priorities. As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you will own technically complex, high-impact outcomes from problem definition through production, applying deep expertise in agent infrastructure and distributed systems to shape the platform’s architecture and direction. You’ll balance trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience, stay close to code and operational realities, and influence across teams while partnering with product and engineering leaders and coaching engineers to raise effectiveness. Success is measured by sustained outcomes—safer workloads, faster iteration, reliable services, and broader leverage across Atlassian—and responsibilities include defining the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads, and leading architecture for isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities. You will own end-to-end outcomes for ambiguous cross-team initiatives, advance portable cloud-native execution across GCP and AWS while balancing platform consistency with regional and workload needs, champion operational excellence for a tier-0 platform (reliability, security, privacy, incident learning, performance, and cost), improve developer experience through self-service APIs and contracts, and mentor engineers to grow an inclusive, high-performing team.

- Atlassian supports flexible work locations and hires in any country where it has a legal entity. - The company is at an inflection point, shifting from a product-led growth model to an enterprise go-to-market powered by an AI-enabled platform (Jira, Confluence, Loom, Rovo). - The Account-Based Marketing Manager for East/Canada Strategic & Enterprise accounts will generate and accelerate sales pipeline, translating global AI/platform narratives into locally resonant proof points, customer stories, and campaigns, with every activity measured by its ability to create opportunities. - Responsibilities include building 1:1 omni-channel ABM in close partnership with sales, planning events, coordinating with partner marketing, and using AI tools to personalize at scale and accelerate performance. - Requirements cover 7+ years of B2B marketing with 3+ years in ABM, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, and data-driven decision making, plus experience with marketing automation/CRM; additional preferences include familiarity with enterprise platforms, PLG vs sales-led GTM, and Atlassian product knowledge.

Atlassian offers flexible work options and hires globally, and the company is at an inflection point as it evolves from a product-led growth engine to an enterprise go-to-market with AI accelerating everything. The role of Account-Based Marketing Manager for East/Canada Strategic & Enterprise accounts is to generate and accelerate pipeline for the sales team and bring Atlassian’s AI and platform transformation story to life in-market. You’ll build and execute 1:1 omni-channel ABM campaigns, plan events, collaborate with sales and central teams, and partner with channel and partner marketing to widen reach. On day one, you should have 7+ years of B2B marketing with 3+ years ABM in a high-growth environment, proven pipeline-building experience, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision making, and experience with marketing automation/CRM. You’ll join Regional & Partner Marketing, a global team of business owners focused on shaping marketing by market and driving pipeline, not just operating programs.

Atlassians can choose where they work—office, home, or a hybrid—giving them flexibility to support family, personal goals, and priorities, and Atlassian hires in any country where it has a legal entity. Atlassian is at an inflection point, moving from a successful product-led growth engine to building an enterprise go-to-market on top of its installed base, with AI accelerating everything. The Account-Based Marketing Manager for Strategic & Enterprise accounts in East/Canada is tasked with generating pipeline for sales by bringing Atlassian's AI-powered platform transformation story to life in-market through locally resonant proof points and customer stories. Responsibilities include building and executing 1:1 omni-channel ABM campaigns, collaborating with the sales team to target accounts and accelerate deals, planning events, and leveraging AI tools to inform strategy and measure performance, while aligning with central teams and partner channels. Requirements include 7+ years of B2B marketing with 3+ years in ABM in a high-growth environment, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision making, and experience with marketing automation and CRM (Salesforce and Marketo a plus); plus preferred familiarity with PLG, Atlassian products, and the regional/partner marketing team's mission.

Atlassian supports flexible work locations and hires globally where there is a legal entity, and the company has evolved from a product-led growth engine to an enterprise go-to-market powered by AI across Jira, Confluence, Loom, and Rovo. The role exists to bring that AI-powered transformation story to life for Strategic & Enterprise accounts and to generate pipeline for the East/Canada sales team. Responsibilities include leading 1:1 omni-channel ABM campaigns, translating global narratives into local proof points, leveraging AI tools to inform strategy and accelerate performance, planning events, collaborating with sales and central teams, and partnering with channel partners to amplify reach. Requirements include 7+ years of B2B marketing with 3+ years in ABM, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, data-driven mindset, and experience with marketing automation/CRM (Salesforce & Marketo a plus), with nice-to-haves in platform marketing to executives and familiarity with PLG/sales-led motions and Atlassian products. The team, Regional & Partner Marketing, is a global group of business owners building a new regional marketing function where marketers are strategists responsible for pipeline and shaping Atlassian’s next chapter market-by-market.

Atlassian allows office, home, or hybrid work and hires in any country with a legal entity, and is at an inflection point as its products become an AI-powered enterprise platform. The Account-Based Marketing Manager will bring Atlassian’s AI and platform transformation to life for Strategic & Enterprise accounts and turn that narrative into sales pipeline for our East/Canada regions. You’ll own and execute 1:1 omni-channel ABM campaigns, collaborate with sales to create and manage pipeline, plan events, and work with partner marketing and channel teams to accelerate deals for target accounts. On day one you should have 7+ years of B2B marketing (3+ ABM), proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, self-starting drive, and experience with marketing automation/CRM. Nice-to-haves include experience marketing platform/enterprise transformation products to C-suite, familiarity with PLG and sales-led GTM, knowledge of Atlassian’s product suite, and a background in high-growth B2B SaaS navigating product/positioning shifts, all within a Regional & Partner Marketing team that treats marketers as strategists accountable for pipeline.

Atlassian supports flexible work locations and global hiring, and is at an inflection point evolving from a product-led growth engine to an enterprise go-to-market powered by AI across Jira, Confluence, Loom, and Rovo. The Account-Based Marketing Manager for East/Canada Strategic & Enterprise accounts will translate that AI/platform transformation into in-market proof points and generate pipeline for sales. You’ll own 1:1 omni-channel ABM programs, collaborate with sales to target accounts, plan events, and work with partner marketing and central teams to accelerate opportunities. Requirements include 7+ years of B2B marketing with 3+ ABM in a high-growth setting, a track record of pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, self-starting mindset, data-driven decision-making, and experience with marketing automation/CRM. Nice-to-haves include experience marketing to C-suite, familiarity with PLG and sales-led GTM motions, Atlassian product knowledge, and being part of a Regional & Partner Marketing team that acts as strategists accountable for pipeline.

Atlassian supports flexible work arrangements and global hiring and is evolving from a product-led growth engine to an enterprise go-to-market powered by an AI-enabled platform (Jira, Confluence, Loom, Rovo). The Account-Based Marketing Manager for Strategic & Enterprise accounts in East/Canada will bring Atlassian’s AI and platform transformation story to life in-market and generate pipeline for the sales team. Responsibilities include building 1:1 omni-channel ABM campaigns, coordinating high-touch events, collaborating with sales and partners, and using AI tools to personalize and accelerate campaign performance while influencing central teams. Requirements feature 7+ years of B2B marketing with 3+ years in ABM in a high-growth environment, proven pipeline-generation experience, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision-making, and experience with marketing automation and CRM. Nice-to-haves include experience marketing platform or transformation products to C-suite, familiarity with PLG and sales-led GTM motions, knowledge of Atlassian’s products, and a background in high-growth B2B SaaS navigating product/positioning shifts; the role sits within a regional marketing function that treats marketers as strategists and pipeline owners.

Atlassian offers flexible work options—employees can choose office, remote, or hybrid setups, hire in any country with a legal entity, and complete interviews and onboarding virtually as part of a distributed-first approach. This is a remote field sales position based in the Netherlands. You'll develop and implement strategic sales and account plans to maximize expansion opportunities and ensure customer success, while building relationships with key decision-makers and C-level executives in strategic accounts. You'll understand customer objectives and challenges, position solutions to meet their needs, lead internal teams and partners to streamline sales processes and enhance customer satisfaction, and lead complex negotiations, market research, and awareness of industry trends to identify opportunities. You'll provide sales performance updates to senior management and engage with clients through travel and participation in industry events.

Atlassian offers flexible work locations—office, home, or hybrid—under a distributed-first approach. They hire in any country with a legal entity, and interviews and onboarding are conducted virtually. The role is a remote, field sales position based in the Netherlands. You’ll develop and implement strategic sales and account plans, build relationships with key decision-makers and C-level executives, understand customer objectives, lead internal teams, negotiate, conduct market research, and stay informed on industry trends to identify opportunities. You’ll also provide sales performance updates to senior management and engage with clients through travel and industry events to drive customer success and expansion.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The company’s growth in the service management market is accelerating, driven by Jira Service Management, with channel partners playing a critical role in customer success. They’re seeking a Sr. Partner Solutions Architect to help grow service management channel partners and enable an enterprise-focused JSM service business and professional services. The role involves developing a solution acceleration strategy, creating collateral and reference architectures to boost partner success, and supporting partners through the deal cycle with technical expertise and thought leadership. It also includes collaborating with channel, product, and marketing teams, delivering partner enablement workshops, and contributing to thought leadership and events while feeding market feedback to product management.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever it has a legal entity, with virtual interviews and onboarding as part of its distributed-first model. The company’s growth in the service management market, especially Jira Service Management, is accelerated by channel partners who play a key role in customer success. Atlassian is seeking a Sr. Partner Solutions Architect to help grow its service-management channel partner ecosystem, leveraging pre-sales to post-sales consulting and architectural skills. Responsibilities include developing the solution-acceleration strategy, creating collateral like ESM solutions and reference architectures, supporting partners through the deal cycle, and delivering partner enablement through workshops and thought leadership. The role also involves partnering with Channel teams, product management, marketing, and sales to drive partner success and feed market feedback into product development, including representing Atlassian at conferences and partner events.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally; interviews and onboarding are conducted virtually as part of being a distributed-first company. The company’s growth in the service management market, led by Jira Service Management, relies on channel partners, and they are seeking a Sr. Partner Solutions Architect to grow those partners and support them from pre-sales to post-sales. The role sits in an established team aimed at helping Solution Partners build an enterprise-focused JSM service business, collaborating with Partner & Alliance teams, Partner managers, Marketing, Sales, Product, and a global team to ensure partner success. Responsibilities include developing the solution acceleration strategy, creating collateral such as ESM solutions, blueprints, and reference architectures, and guiding partners through deal cycles with technical expertise. Additional duties involve partnering with channel teams on account strategies, feeding market feedback to product management, delivering technical enablement workshops, contributing to thought leadership, and representing Atlassian at conferences and partner events.

At Atlassian, employees can choose to work in an office, from home, or in a hybrid arrangement, giving them more control to support family, personal goals, and other priorities. The company is hiring a Senior Frontend Software Engineer to maintain its web frontend systems and tools to deliver great experiences to users. The role sits within a unified R&D team that prioritizes initiatives to move customers to the cloud while continuing to add value across Jira, Confluence, Trello, and Bitbucket. Atlassian seeks people who want to shape the future and believe that much more can be achieved together. In this role, you will build high-performing client code that is fast, testable, scalable and high quality; collaborate with engineers, designers, and managers to address user pain points; contribute to code reviews and documentation and fix complex bugs; lead projects from design and implementation to launch and operation; and onboard and mentor junior engineers.

At Atlassian, employees can work from an office, from home, or a combination of both, and the company hires in any country where it has a legal entity. They are seeking a Senior Frontend Software Engineer to maintain web frontend systems and deliver great user experiences. The organization aims to be a 100-year company with a world-class, empowered engineering team within a unified R&D structure, prioritizing cloud migration and investments across Jira, Confluence, Trello, and Bitbucket. They are looking for people who want to write the future and achieve more together. In this role, you will build high-performing client code, collaborate across engineers, designers, and managers, contribute to code reviews and documentation, lead projects end-to-end, and onboard and mentor junior engineers.

Atlassian offers flexible work options—office, home, or a hybrid setup—and hires in any country where they have a legal entity to support employees’ personal goals and family priorities. They’re seeking a Senior Backend Software Engineer to join a world-class engineering organization focused on AI, cloud transition, and delivering value through Jira, Confluence, Trello, and Bitbucket. In this role, you will drive large, complex projects autonomously from design to launch and tackle architecture challenges by applying architectural standards to new projects. You will lead code reviews and documentation, handle complex high-risk bug fixes, set an example for thorough reviews, and partner across engineering teams on company-wide initiatives. The position also requires transferring your depth of knowledge from your current language to Java and mentoring junior teammates.

Atlassian supports flexible work locations—office, home, or a hybrid model—and hires people in any country where it has a legal entity to help employees balance family and personal goals. The company is looking for a Senior Backend Software Engineer focused on delivering creative improvements for engineering teams. To build a 100-year company, Atlassian is building a world-class engineering organization of empowered teams with the tools and infrastructure to do their best work, prioritizing AI initiatives and the cloud transition across Jira, Confluence, Trello, and Bitbucket. They seek individuals eager to shape the future who believe in collaboration to achieve extraordinary results together. In this role, you will drive large, complex projects autonomously from design to launch, tackle architecture challenges and apply standards, lead code reviews and documentation plus complex high-risk bug fixes, mentor junior engineers, and transfer knowledge from other languages to excel as a Java developer while partnering across teams on company-wide initiatives.

Atlassians offer flexible work locations (office, home, or hybrid) and hire in any country where they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company, and this is a remote role. To help teams work effectively, the role requires you to be located in the UK or Netherlands and visa sponsorship is not available; candidates must have the right to work there without sponsorship. The role is in the Sales Development team, partnering with Account Executives to build a mid-market sales pipeline while coordinating with Sales Operations and Marketing, and you will report to a Sales Development Manager. Responsibilities include outbound prospecting, qualifying leads through proactive outreach, conducting cold calls and emails to engage decision makers, and collaborating with sales, marketing, partner and operations to develop lead generation strategies while navigating objections. You will articulate the value proposition, write personalized emails to delight customers, build your pipeline with Enterprise Advocates and Enterprise Marketing, and use tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians can work remotely with flexibility, and interviews and onboarding are conducted virtually as part of a distributed-first approach. This is a remote position, but you must be located in the UK or Netherlands, and visa sponsorship is not offered; candidates must have the right to work there without sponsorship. The role is for Sales Development Representatives who partner with Account Executives to build the Mid-Market sales pipeline, working with Sales Operations and Marketing and reporting to a Sales Development Manager. Responsibilities include outbound prospecting, qualifying leads, conducting cold calls and emails, overcoming objections with value-driven messaging, and articulating the product’s value proposition. You’ll build your pipeline with Enterprise Advocates and Marketing, collaborating with teams and using tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians can work in an office, from home, or a mix, with interviews and onboarding conducted virtually as part of our distributed-first approach. This is a remote position, but you must be located in the UK or Netherlands and have the right to work there without visa sponsorship; we are unable to sponsor visas for this role. The role is Sales Development Representative, partnering with Account Executives to build and qualify a Mid-Market sales pipeline while ensuring a delightful customer experience, in tight coordination with Sales Operations and Marketing; you will report to a Sales Development Manager. Responsibilities include outbound prospecting, qualifying leads through proactive outreach and research, conducting cold calls and emails, overcoming objections with value-driven messaging, and articulating the value proposition of our products to customers; you will also build your pipeline with Enterprise Advocates and Enterprise Marketing teams. You’ll use tools like Salesforce, Gong, Outreach, and LinkedIn Navigator to execute these activities.

Atlassian offers flexible, distributed work with remote options, but this role requires being located in the UK or Netherlands and does not provide visa sponsorship. The company hires in any country where it has a legal entity, and interviews and onboarding are conducted virtually as part of a distributed-first approach. The Sales Development Representative will partner with Account Executives to build a Mid-Market sales pipeline, coordinating with Sales Operations and Marketing, and will report to a Sales Development Manager. Responsibilities include outbound prospecting, qualifying leads through proactive outreach, conducting cold calls and emails, collaborating across teams to generate leads, overcoming objections, and articulating the product's value. Candidates should have experience engaging prospects and writing personalized emails, and will build the pipeline with Enterprise Advocates and Marketing while using tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassian supports flexible, distributed-first work and hires wherever we have a legal entity, with virtual interviews and onboarding; for this role, applicants from all regions of the United Kingdom are welcome. As a Principal Customer Success Manager, Public Sector, you’ll partner with strategic UK & Ireland public sector organisations to realize the full value of their Atlassian investments, guiding them through complex digital transformations, cloud migrations, and modern ways of working across our solution portfolio. The team focuses on long-term customer value and partnership rather than quota carrying, collaborating to help public sector customers migrate to the cloud, transform digitally, and adopt AI-powered solutions. You will build strategic trusted advisor relationships with senior civil servants, IT leaders, and transformation directors to align Atlassian solutions with digital mandates, champion cloud migration, and enable use of AI capabilities and the Teamwork Graph for knowledge unification and automated workflows. You will drive value realisation through Customer Success Plans and Executive Business Reviews, navigate public sector procurement and governance, and work cross-functionally with Enterprise Sales, Solutions Engineering, Cloud Migration specialists, Product teams, and Atlassian Solution Partners to ensure smooth customer lifecycle delivery.

Atlassian offers flexible, distributed work options, hiring globally where we have a legal entity, with virtual interviews and onboarding, and welcoming applicants from all regions of the United Kingdom for this role. As Principal Customer Success Manager, Public Sector, you’ll partner with strategic UK & Ireland public sector organizations to realize the full value of their Atlassian investments, serving as a trusted advisor through digital transformations, cloud migrations, and modern ways of working. The team prioritizes long-term customer value and partnership over quotas, helping public sector customers migrate to the cloud, adopt AI-powered solutions, and leverage the Teamwork Graph to unify knowledge and automate workflows. You’ll build strategic trusted advisor relationships with senior civil servants, IT leaders, and transformation directors across UK & Ireland public sector accounts to align Atlassian solutions with their digital mandates and cloud migration goals. You’ll drive value realization through Customer Success Plans and Executive Business Reviews, navigate public sector procurement and governance, and collaborate cross-functionally with Enterprise Sales, Solutions Engineering, Cloud Migration specialists, Product teams, and Atlassian Solution Partners to ensure successful lifecycle delivery.

Atlassians can choose where to work—office, home, or a hybrid—and the company supports remote work across India; the Bengaluru office exists but eligible candidates can work remotely, and hiring is possible in any country with a legal entity. The future team aims to be a world-class engineering organization within a unified R&D group, focusing on moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket. They’re looking for people who want to write the future and believe in achieving more together, reporting to an Engineering Manager within the R&D teams. What you’ll do includes building and shipping features daily in a highly scalable, cross-geo environment, collaborating with engineers, architects, product managers, and designers, and reviewing code with best practices for readability, testing, reliability, security, and performance. You’ll mentor teammates, ensure full visibility and monitoring of backend services, and participate in Agile practices like daily stand-ups, sprint planning, retros, and show-and-tell demos.

Atlassian offers flexible work options—office, remote, or a hybrid arrangement—and supports employees' family and personal goals, hiring in any country where it has a legal entity. This is a remote position, with a Bengaluru office but eligibility for remote work across India; you can choose to work from home, in an office, or in a mix that fits your lifestyle. You will join a world-class engineering organization within a unified R&D team focused on moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket. You will report to an Engineering Manager and collaborate with engineers, architects, product managers, and designers, participating in code reviews that emphasize readability, testing, documentation, reliability, security, and performance. You will mentor teammates, ensure observability of high-performing backend services, and take part in Agile practices including daily stand-ups, sprint planning, retrospectives, and show-and-tell demos.

At Atlassian, you can work in an office, from home, or a hybrid arrangement, and the company hires in any country with a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Team Atlassian continues investing in its largest, most strategic customers and partners with 82% of the Fortune 500, including IBM, Tesla, Dish, and Lufthansa, focusing on deepening relationships and delivering value across Atlassian’s solutions. The Account Management team aims to accelerate retention and expansion across Atlassian’s core products and services, contributing to the transformation of enterprise customers worldwide. The role involves accelerating revenue growth through a top-down, solution-oriented approach, managing high-value renewals and expansions, and partnering with Sales on account planning, white space analysis, and cross-functional coordination, reporting to the Manager, Strategic Account Management DACH & France. Ideal candidates are collaborative, adaptable team players with 7+ years of relevant revenue experience, strong discovery and expansion skills, a customer-first mindset, and the ability to manage multiple opportunities, forecast their book, identify risks, and influence cross-functional partners toward mutually beneficial outcomes.

Atlassian offers flexible work options, allowing remote or office collaboration, with hires in any country where they have a legal entity. For this internship, the role is based in the Seattle or San Francisco hub, and it is not eligible for F1/J1 visas or sponsorship. The Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful engineering career. The Security intern will join Atlassian's Security team, report to a Security Engineering Manager, and work with a mentor on a scoped project addressing a real security problem. Responsibilities include owning the project from problem understanding to building and documenting a solution, developing tools and automation, conducting security research, using AI-assisted coding tools, and collaborating with security and software engineers to present and maintain the solution.

Atlassian offers flexible work options and hires in any country with a legal entity, supporting distributed collaboration across home, offices, or both. The Intern program combines hands-on technical training, mentorship, and social connections to set interns up for a successful and impactful career at Atlassian, with the role based in the Seattle or San Francisco hub (you must work from one of these hubs). The Security team internship involves overseeing Atlassian services for tens of thousands of customers, reporting to a Security Engineering Manager and mentored by senior engineers. Interns will own a scoped security engineering project from problem understanding to building, testing, and documenting the solution, with potential projects including automated security testing, investigation tools, or risk-prioritization systems. Responsibilities include developing tools to find security weaknesses, conducting research to distinguish actionable findings from false positives, using AI-assisted coding and research tools, possibly building AI-assisted security capabilities, and collaborating with security and software engineers to present and maintain the solution.

- Atlassian supports flexible work locations and hires in any country with a legal entity, embracing a distributed work approach. - Their Internship program combines hands-on technical training, dedicated mentorship, and strong social connections to prepare students for a successful Atlassian career. - The Summer 2027 paid internship is a 12-week role based in the Seattle hub, with no eligibility for F1/J1 visas and no sponsorship. - The position is a Research Intern on the AI Research Systems (AIRS) team within Research and Insights, focused on enabling AI-native workflows for researchers and delivering insights to cross-functional partners. - Responsibilities include reporting to a Research Manager, building AI tools, pipelines, and systems for R&I, and conducting a research project with existing AI tooling, with minimum qualifications of 12 weeks full-time and returning to studies; preferred qualifications include experience with AI tools (e.g., Claude, Code, Codex), understanding of the research process, qualitative/quantitative UX methods, and data management/analysis.

Atlassian supports a flexible, distributed-first work model with virtual interviews and hiring in any country where the company has a legal entity. Their Grad++ program offers hands-on technical training, professional growth, dedicated mentorship, and strong social connections to set students up for success at Atlassian. The role is based in the Seattle hub and requires working from that hub; it is not eligible for F1 or J1 visas, and sponsorship is not available. Atlassian’s machine learning teams collaborate across Product, Engineering, Growth, GTM, Finance, and Sales to build ML infrastructure and intelligent product experiences, with opportunities in search, recommendation, personalization, Generative AI, and large language models. Responsibilities include building and evaluating ML models and Generative AI applications, using data and experimentation to improve quality, translating customer and business problems into technical solutions with cross-functional partners, contributing across the ML lifecycle from prototyping to deployment and monitoring, and developing agentic workflows that combine LLMs, tools, and product context to solve complex problems.

Atlassian offers flexible work locations and hires in any country where it has a legal entity, with distributed-work details available online. The intern program provides hands-on technical training, professional growth, dedicated mentorship, and social connections to set interns up for a successful Atlassian career, and the role is based in the Seattle hub (candidates must work from Seattle; it’s not eligible for F1/J1 or sponsorship). The paid internship runs for 12 weeks from May/June to August/September 2027. The Future Team internship focuses on data, reporting, and analytics to support a market-leading product, requiring development of data-driven hypotheses, rigorous statistical evaluation of experiments and user behavior, cross-functional collaboration, analysis of telemetry to surface growth opportunities, and building dashboards, reproducible notebooks, or AI agents. Candidates should have SQL and Python or R, knowledge of statistics and experimental design or ML fundamentals, experience with BI tools, familiarity with GenAI workflows, strong communication, and must be enrolled in a Masters program returning after the internship, graduating by August 2028, and commit to 12 weeks full-time in Summer 2027.

At Atlassian, you can work where you want—office, home, or a mix—and we hire in any country where we have a legal entity. As a Senior Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions, with the FDE team partnering with top organizations across industries to solve real-world problems. You’ll collaborate with product, engineering, and design to rapidly grow your technical and domain expertise while making a tangible impact on business outcomes in a high-visibility, high-impact role. Responsibilities include coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML-powered solutions using Rovo tailored to customer needs, architecting robust integrations in Python or JavaScript, influencing product direction with customer feedback, championing AI-augmented workflow automation, and overseeing end-to-end deployment with monitoring, while navigating AI risk, data privacy (GDPR), and regulatory requirements, plus mentoring senior FDEs and engineers. You’ll also communicate complex technical concepts clearly to technical and non-technical stakeholders and align technical solutions with business objectives to set a clear vision and measurable results.

Atlassians can choose to work in an office, from home, or a mix of the two, and the company hires in any country where it has a legal entity, giving people control over family priorities and personal goals. As a Senior Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and partnering with top organizations to leverage Atlassian’s AI capabilities. You’ll collaborate with product, engineering, and design to grow your technical and domain expertise while making a tangible impact on business outcomes in a high-visibility, fast-paced environment. Your responsibilities include coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML-powered solutions using Rovo tailored to customer needs, and architecting robust integrations with Python or JavaScript with a focus on APIs, microservices, and enterprise-scale systems, while championing AI-augmented workflow automation and overseeing end-to-end deployment. You’ll mentor senior FDEs and engineers, communicate complex technical concepts clearly to technical and non-technical stakeholders, and align technical solutions with business objectives while navigating AI risk, data privacy (GDPR), and regulatory requirements.

Atlassian supports flexible work locations globally; interviews and onboarding are virtual as part of a distributed-first approach, and this role is fully remote but must be located in IST TZ. The Senior Engineering Manager will join Jira Platform to turn the vision into reality by shaping platform capabilities, technical strategy, and engineering practices to make Jira the system of record and control plane for enterprise-scale human and agent teamwork. The work is guided by AI Transformation, Enterprise Readiness, and Efficiency to power the Jira Platform flywheel. The API extensibility work addresses reactive gaps from migration and rate limiting, and proactive structural gaps around governance, enterprise readiness, and agent-first Jira. You will lead 2-3 scrum teams (12-20 people), mentor engineers, influence architecture, and pursue world-class engineering and operational excellence in a challenging, globally distributed environment.

Atlassian supports flexible work arrangements and hires globally with virtual interviews; this role is fully remote but must be located in the IST time zone. You will join the Jira Platform team as a Senior Engineering Manager, shaping platform capabilities, technical strategy, and engineering practices to make Jira the enterprise-scale system of record and control plane for teamwork. The role advances the Jira Platform flywheel through three guiding forces: AI Transformation, Enterprise Readiness, and Efficiency. API extensibility will address reactive gaps from migrations and rate limiting, while proactive structural gaps focus on Governance, Enterprise Readiness, and Agent-first Jira as strategic bets. You will lead 2-3 scrum teams (roughly 12-20 engineers), mentor engineers, influence architectural direction, and thrive in a dynamic, ambiguous, globally dependent environment with multiple stakeholders.

The Principal Data Scientist role at Atlassian focuses on scaling a fast-growing company by applying analytics, data science, and AI to support the Service Collection initiative. It aims to identify opportunities and build tools and solutions that influence the Service Collection roadmap and speed decision-making with data insights. The candidate should have superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in AI/LLMs, and experience partnering with cross-functional teams and mentoring junior data scientists. Atlassian offers flexible work arrangements and can hire in any country with a legal entity. Responsibilities include influencing strategy, defining department-level KRs, building measurement frameworks and ML models, leading high-impact projects with Engineering, Product, Design, Data Engineering and Research & Insights teams, and fostering a data science culture through training and mentorship.

Atlassian is seeking a Principal Data Scientist to leverage analytics and AI/ML to support a strategic Service Collection initiative in a fast-growing company. The role will identify opportunities, build tools and solutions that influence the Service Collection roadmap and accelerate decision-making across business units with data insights. The candidate should have superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, AI/LLM expertise, cross-functional partnership experience, and mentoring of junior data scientists. Atlassian offers flexible working arrangements (office, home, or hybrid) and hires from any country with a legal entity. Responsibilities include shaping strategy, defining department-level key results, building measurement frameworks and ML tools, leading high-impact cross-functional projects, and fostering a world-class data science culture through training and mentoring.

The role is for a Principal Data Scientist at Atlassian focused on Service Collection, using analytics, data science, and AI/ML to identify opportunities and influence the product roadmap. The candidate should combine strong business acumen with proficiency in statistics and AI/LLM, be comfortable with executive stakeholders, partner across functions, and mentor junior data scientists. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity. Responsibilities include shaping strategy for Service Collection, defining and reporting department-level key results, and building measurement frameworks and ML tools to accelerate growth while guiding cross-functional projects. The role also emphasizes developing a world-class data science culture through training, continuous learning, and mentoring the team.

Atlassian seeks a Principal Software Engineer for the Data Platform Team to build a world-class data platform that powers crucial business decisions, partnering with analytics, data engineering, and data science teams to identify gaps and translate findings into capabilities. The role offers flexible work arrangements—office, home, or hybrid—and Atlassian can hire in any country where it has a legal entity. You will own the long-term architecture and technical direction for core platform capabilities, ensuring reliability, cost efficiency, and adoption, and design/build foundational components across ingestion, transformation, orchestration, compute, and consumption. You will architect multi-tenant platform standards with cross-layer contracts, tenant isolation, and SLOs to enable autonomous producers and consumers while driving compute and storage efficiency, and you will lead cross-team initiatives and architecture reviews, influencing platform strategy and mentoring senior engineers. You will stay hands-on, engaging with the toughest coding challenges rather than just reviewing designs.

Atlassian seeks a Principal Software Engineer for the Data Platform Team to build a world-class data platform that powers crucial business decisions, collaborating with analytics teams, data engineers, and data scientists to identify gaps and build capabilities. Atlassians can work from an office, from home, or in a hybrid arrangement, and we hire in any country where we have a legal entity. You will own the long-term architecture and technical direction for core platform capabilities, responsible for reliability, cost efficiency, and adoption, and design foundational components across ingestion, transformation, orchestration, compute, and consumption. You will design robust multi-tenant standards with cross-layer contracts, tenant isolation, and SLOs to enable autonomous producers and consumers while driving compute and storage efficiency, lead cross-team initiatives and architecture reviews, and mentor senior engineers. The role is hands-on and expects you to be coding on the hardest problems, not only reviewing designs.

Atlassian is seeking a Principal Software Engineer for its Data Platform Team who is passionate about building scalable data platforms and will partner with analytics teams, data engineers, and data scientists to make data actionable. The role owns the long-term architecture and technical direction for core platform capabilities, ensuring reliability, cost efficiency, and adoption, while designing foundational components across ingestion, transformation, orchestration, compute, and consumption. You will design robust multi-tenant standards with cross-layer contracts, tenant isolation, and SLOs to enable autonomous producers and consumers and drive compute and storage efficiency across workloads. You will lead cross-team technical initiatives, influence platform strategy with senior stakeholders, act as a technical mentor to senior engineers, and stay hands-on on the hardest problems. Atlassian offers flexible work options and can hire in any country where it has a legal entity, with the team building analytical data platforms to generate valuable insights for Engineering and Data Engineering.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. As a Principal Customer Success Manager in the Enterprise segment, you help customers realize value from their Atlassian investment by delivering scalable methodologies that drive adoption, solution expansion, and long-term growth. You’ll build relationships with C-level and executive stakeholders, guide complex customers through hurdles, and apply cross-product expertise to realize value across their lifecycle. The role sits within a team serving 300,000+ customers (including NASA, IBM, HubSpot, Samsung, Coca-Cola) with a focus on value and a collaborative “play as a team” culture, developing trusted advisor relationships and value realization across global accounts. You’ll develop customer success plans, navigate multi-party implementations, stay current on products, drive adoption and footprint expansion, mitigate churn, and serve as the Voice of the Customer to relay feedback for better strategic customer service.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving Atlassians more control over personal goals and priorities. The Principal Customer Success Manager in the Enterprise Segment helps customers realize value by delivering scalable methodologies that drive product adoption, solution expansion, and long-term growth. You’ll build executive-level trusted advisor relationships, guide complex customers through hurdles, and apply cross-product and solution expertise to support global teams across the customer journey. Responsibilities include developing Customer Success Plans, conducting regular check-ins and strategic reviews, navigating multi-partner implementations, driving adoption strategies for high-value accounts, and mitigating churn through proactive risk management. With over 300,000 customers including NASA, IBM, HubSpot, Samsung, and Coca-Cola, Atlassian emphasizes a team-focused culture and the Voice of the Customer to inform internal improvements.

The Enterprise Security Engineer at Atlassian is a hands-on role responsible for implementing, operating, and improving security controls across identity, endpoints, cloud, SaaS, data, and workforce technologies, turning security strategy into practical, secure-by-default controls that don’t slow the business. They partner with Enterprise IT, Corporate Engineering, SRE/Platform teams, Legal, Privacy, Product Security, and other stakeholders, participate in Atlassian’s Customer Zero initiative, and are based in Australia/New Zealand. Key duties include designing and maintaining security controls across identity, access, cloud (AWS/GCP), SaaS, and data-protection domains; remediating gaps; enabling secure baselines; conducting security reviews for new tools and workflows; and supporting cyber-related physical security integrations. The role also covers identity lifecycle, privileged access, authentication/authorization, insider risk monitoring, cloud and endpoint protection, DLP and data classification, automation, IaC/CI-CD security checks, on-call rotations and post-incident reviews, and SaaS supply chain/vendor risk assessments. Success is measured by timely delivery of tasks and deployments, reduction of security escalations, development of reliable automation, closure of posture gaps, and effective cross-functional collaboration and continuous learning.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across identity, endpoints, cloud, data, and workforce technologies, turning enterprise strategy into practical, secure-by-default solutions. They partner with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders, and participate in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption; the role is based in Australia/New Zealand. Core responsibilities include designing, implementing, operating, and maintaining controls across identity, access, cloud (AWS/GCP), SaaS, and data-protection domains, remediating gaps in access controls, device posture, SaaS configurations, and sensitive data protections, and assisting with secure baseline configurations and reviews for new tools and workflows. The role also supports cyber-physical security operations, including integrations between physical access-control systems and identity platforms, monitoring access lifecycles, and addressing facility-related cyber risks, while strengthening identity lifecycle management, privileged access, authentication, authorization, and access reviews. Success is measured by timely execution of technical tasks and deployments, reduced security backlog and toil, effective automation and tooling, closed posture gaps, and strong cross-functional collaboration and learning.

The Enterprise Security Engineer is a hands-on role responsible for designing, implementing, operating, and continuously improving security controls across Atlassian’s corporate architecture—including cloud, SaaS, endpoints, identity, data, and workforce technologies—translating enterprise strategy into secure-by-default solutions that reduce risk without slowing the business. The engineer partners with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements and participates in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption; the role is based in Australia/New Zealand. Core responsibilities include strengthening identity, access, and human risk; implementing cloud, SaaS, and endpoint protection; advancing data protection and secure baselines; and participating in security reviews for new tools and SaaS integrations, as well as supporting cyber-related physical security operations. Additional focus areas cover automation, infrastructure-as-code and CI/CD security checks, tracking operational metrics, running SOPs and runbooks, and contributing to incident response and post-incident reviews. Success is measured by on-time delivery of technical tasks and control deployments, reduced toil and backlog, reliable automation, measurable improvements in posture across SaaS/ends/IAM, and effective collaboration with cross-functional teams.

The Enterprise Security Engineer is a hands-on role based in Atlassian’s Australia/New Zealand entities who implements, operates, and improves security controls across identity, endpoints, cloud, SaaS, data, and workforce technologies, translating enterprise security strategy into secure-by-default, measurable controls that reduce risk without slowing the business, including validating capabilities internally as part of the Customer Zero initiative. The engineer partners with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements across Atlassian’s corporate environment and to roll out secure baselines and paved-path configurations across internal teams. Core duties include strengthening identity lifecycle management, privileged access, authentication and authorization, monitoring insider risk, validating agentic identity and AI-native governance, and supporting secure service accounts and automated bot credentials, with broader efforts to ensure secure adoption across internal services. Cloud, SaaS, and endpoint protection involve implementing guardrails and posture baselines for AWS/GCP and SaaS like Google Workspace, Slack, Okta; maintaining endpoint security agents and device/compliance baselines; and supporting DLP and data-classification controls, as well as security reviews for new tools and integrations. The role also covers SaaS supply chain and third-party risk evaluations, incident response and on-call duties, automation and operational excellence through scripting and IaC/CI-CD security checks, and is measured by delivery of tasks, reduced manual toil, improved security hygiene, and effective collaboration across teams.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across corporate architecture, SaaS, cloud, endpoints, identity, data, and workforce technologies, translating strategy into practical, secure-by-default controls that reduce risk without slowing the business. They partner with Enterprise IT, Corporate Engineering, SRE, Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements across Atlassian’s corporate environment, and as part of Atlassian’s Customer Zero initiative validate and refine capabilities internally before broader adoption, based in Australia/New Zealand. The role covers designing, implementing, operating, and maintaining security controls across identity, access, cloud (AWS/GCP), SaaS, endpoints, and data-protection domains, remediating gaps in access controls, device posture, SaaS configurations, and SaaS supply chain/third-party risk evaluations, and assisting with secure baselines and paved-path implementations. It includes security reviews for new tools, internal workflows, and SaaS integrations; monitoring insider risk signals and anomalous access patterns; enforcing service accounts and automated bot credentials; implementing guardrails, DLP, and data-classification controls; maintaining physical security integrations with identity platforms and monitoring facility-related cyber risks; and participating in on-call rotations and post-incident reviews. Success is measured by execution and delivery of scoped tasks and automation milestones on time; triage of security escalations and backlog reduction; development of reliable scripts and tooling; remediation of posture gaps; and collaboration to expand technical depth across enterprise security domains.

The Enterprise Security Engineer is a hands-on role responsible for implementing, operating, and improving security controls across corporate architecture, cloud services, endpoints, identity, data, and workforce technologies, translating strategy into practical, secure-by-default measures. They collaborate with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders, and participate in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption, based in Australia/New Zealand. The role designs, implements, operates, and maintains security controls across identity, endpoints, network, cloud (AWS/GCP), SaaS, and data protection, remediating gaps and rolling out secure baseline configurations and paved-path implementations. It includes strengthening identity and access governance, monitoring insider risk, securing service accounts and bot credentials, and implementing guardrails, DLP, and data-classification across cloud, SaaS, and endpoint environments, while contributing to security reviews for new tools. You’ll also build automation and infrastructure-as-code security checks, participate in on-call rotations and post-incident reviews, and assess SaaS supply chain and third-party risk, with success measured by timely delivery, reduced toil, improved security hygiene, and effective cross-functional collaboration.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across Atlassian’s corporate architecture, including identity, data, endpoints, cloud, SaaS, and workforce technologies. The role translates enterprise security strategy into practical, secure-by-default solutions, partners with Enterprise IT, Corporate Engineering, SRE and Platform teams, Legal, Privacy, and other stakeholders, and participates in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption, based in Australia/New Zealand. Responsibilities include designing, implementing, and maintaining controls across identity, access, cloud (AWS/GCP), SaaS, endpoints, and data protection; remediating gaps; rolling out secure baselines; participating in security reviews; and executing SaaS supply chain and third-party risk evaluations with vendor remediation. Additional duties cover security operations support for cyber-physical security, maintaining endpoint agents, DLP and data-classification controls, and driving automation, infrastructure-as-code, CI/CD security checks, on-call rotations, and post-incident reviews. Success is measured by timely delivery of tasks and control deployments, reduced security backlog and toil, reliable automation, improvements in security hygiene across SaaS, endpoints, and IAM, and effective cross-functional collaboration and continuous learning.

The Enterprise Security Engineer is a hands-on role (based in Australia/New Zealand) responsible for designing, implementing, operating, and improving security controls across identity, endpoints, cloud, SaaS, data, and related workforce technologies, translating strategy into secure-by-default solutions and partnering with IT, engineering, security, Legal/Privacy, and business stakeholders. It includes participating in Atlassian’s Customer Zero initiative to validate and enhance security capabilities internally before broader adoption. Core duties encompass building and maintaining controls, remediating gaps in access, device posture, SaaS configurations, and data protections; rolling out secure baselines; conducting security reviews for new tools and SaaS integrations under senior guidance; and supporting cyber-related physical security operations. The role emphasizes Identity, Access & Human Risk management, cloud, SaaS, and endpoint protection, including identity lifecycle management, privileged access, authentication/authorization, access reviews, insider risk monitoring, and secure service accounts and bot credentials. Success is measured by timely delivery of tasks and automation milestones, efficient triage of security escalations, reduction of manual toil, remediation of posture gaps across SaaS/endpoints/IAM, and effective collaboration with cross-functional teams.

Atlassian supports flexible work options—office, home, or a hybrid—along with virtual interviews and onboarding as part of a distributed-first culture. The Team Atlassian focuses on the largest, most strategic customers, partnering with 82% of the Fortune 500 and with teams at IBM, Tesla, Dish, Lufthansa, and more. The Account Management team aims to deepen customer relationships, address their most complex challenges, and drive value across Atlassian’s solutions, contributing to the transformation of enterprise customers worldwide. The role reports to the Manager, Strategic Account Management APAC and involves delivering high customer retention, proactively pursuing expansion, and guiding opportunities across the customer lifecycle. Candidates should be adaptable with multi-opportunity handling, excel at discovery and customer advocacy, have a proven revenue target track record, and be prepared to collaborate cross-functionally to grow the business, manage renewals and expansions, raise product awareness, forecast the owned book, and mitigate risks.

Atlassian supports flexible work options (office, remote, or hybrid), hires globally in countries with legal entities, and conducts virtual interviews and onboarding as part of its distributed-first approach. The company partners with 82% of the Fortune 500 and collaborates with teams at IBM, Tesla, Dish, Lufthansa, and others, with the Team Atlassian focused on developing its largest strategic customers. The Account Management team aims to deepen customer relationships, drive retention, and accelerate expansion across Atlassian’s core products and services, reporting to the Manager, Strategic Account Management APAC. The role requires adaptability, the ability to manage multiple opportunities, strong discovery, customer advocacy, and a proven track record of meeting revenue targets and accelerating expansion while handling renewals and growth across a large product portfolio. You will grow by leveraging existing footprints, build senior relationships, manage growth opportunities, forecast for your book, identify risks, and influence cross-functional partners toward mutually beneficial outcomes.

Atlassian's mission is to unleash the potential of every team and revolutionize software development, serving global customers such as Williams Racing, NASA, Nike, Pixar, and Tesla, and building a multi-billion-dollar business with over 300,000 paying customers, hundreds of implementation partners, and millions of users. The Enterprise Account Executive role is to build and implement a territory strategy that drives growth and adoption of Atlassian’s portfolio with the largest enterprise customers, while championing customer needs and uncovering additional value for their organizations. You will manage a territory of Atlassian’s largest Indian customers, coordinating closely with Channel Partners, Product Specialists, and the internal Marketing team to position value and strengthen existing relationships. Responsibilities include developing and executing territory and named account plans, maintaining full account ownership, and collaborating with Solution Engineering, Sales Development, Customer Success, and external Partners to deliver a seamless customer experience; strong teamwork and interlock with Technical Account Managers to drive business outcomes. You will engage customers through 1:1 meetings, executive engagements, roundtables and events, educate them on Atlassian’s cloud-based System of Work (including AI, Scaled Agile, Enterprise Service Management, Work Management, and DevOps), regularly exceed quotas, and act as a change agent to improve how Atlassian serves customers.

At Atlassian, the mission is to unleash the potential of every team, building a multi-billion-dollar software business that serves over 300,000 paying customers worldwide—including Williams Racing, NASA, Nike, Pixar, and Tesla—driven by a culture focused on customer success. The Enterprise Account Executive will develop and implement a territory strategy to drive growth and adoption of Atlassian’s portfolio among the largest enterprise customers, while championing customers’ needs and uncovering additional value for their organizations. The role covers a territory of India’s largest existing customers and requires close coordination with Channel Partners, Product Specialists, and Marketing to position value and elevate these relationships. Responsibilities include owning territory and named account plans, coordinating with Solution Engineering, Sales Development, and Customer Success, and partnering with the channel team and external partners to execute effective sales strategies, with strong interlock with Technical Account Managers to drive business outcomes. They will engage customers through regular 1:1 meetings, executive engagements, roundtables, and events across India, educate them on Atlassian’s Cloud-based System of Work (including AI, Scaled Agile, Enterprise Service Management, Work Management, and DevOps), and consistently exceed quotas while demonstrating open collaboration and a commitment to continuous improvement.

GitLab positions itself as an intelligent DevSecOps orchestration platform that boosts developer productivity, security, and digital transformation, with AI integrated into daily workflows. The company is hiring a Staff Product Security Architect in Security Platforms and Architecture to be a hands-on security driver who embeds standards into modern developer workflows and partners with product engineering to reduce risk. Responsibilities include leading security architecture for strategic initiatives, identifying systemic risks, codifying reusable guardrails and patterns, building proofs of concept, conducting architecture reviews, threat modeling, proactive risk exploration, mentoring engineers, and acting as Security Owner for high-priority items. Requirements include deep application security architecture experience (including authentication, authorization, multi-tenant isolation), security for distributed systems and software supply chains, a proactive architecture track record, influence with engineering leadership, clear communication, and vision for AI tooling guidance; the team comprises Security Architecture, Security Research, and Application Security, with an FY27 reorganization planned. The base salary range is $168,000–$238,000 USD for US residents, with bonuses, equity, and benefits; GitLab roles are remote with location-based eligibility, and the company emphasizes equal opportunity and accommodations.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million users and trusted by more than half of the Fortune 100, with AI embedded to boost productivity and innovation. The role is Staff Product Manager for an internal platform team within Revenue Lifecycle & Finance Systems, owning the multi-quarter internal roadmap for Quote-to-Cash and finance systems (Salesforce CPQ, Zuora, NetSuite, CDot). You’ll partner with Finance, Revenue Ops, Deal Desk, and Legal to translate business requirements into actionable specifications, manage SOX and revenue recognition governance, and lead discovery and decision-making between business needs and engineering. You’ll mentor the BSA team, promote product-management best practices, and guide program strategy and cross-functional delivery, including UAT, post-launch improvements, and architecture considerations with Enterprise Architects. Requirements include 8+ years in product management with 3+ in internal/platform leadership, deep QTC domain experience, SOX familiarity, ability to manage multi-program delivery, strong technical fluency, and a US salary range of $168,000–$235,600, with remote, equal-opportunity hiring.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and trusted by many Fortune 100 companies, with a culture that embraces AI as a core productivity multiplier. The Staff Backend Engineer role provides technical leadership across multiple teams, shaping architecture, standards, and the modernization of large monoliths toward modular, reusable systems while ensuring quality, security, reliability, and operability. You will lead cross-cutting backend initiatives, establish patterns for APIs, data ownership, testing, and observability, own production systems including on-call incident response, and influence platform roadmap in partnership with Product and Engineering leadership. Qualifications emphasize cross-team technical leadership, deep backend architecture experience, and hands-on work with Go, Kubernetes, Rust, PostgreSQL, and security-conscious software supply chains, plus experience with AI-enabled workflows. GitLab offers flexible PTO, equity, parental leave, and an inclusive, globally remote workforce, with a commitment to equal opportunity and accommodations for applicants from diverse backgrounds; some location-based eligibility may apply.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million registered users and Fortune 100 companies trusting it; AI is embedded as a core productivity multiplier across the company and all team members are encouraged to incorporate AI into daily workflows. The Senior Backend Engineer role involves designing and evolving product capabilities, solving high-scope backend problems, influencing technical and product direction, and collaborating across product, frontend, infrastructure, data, and security boundaries to define high-scale standards. Responsibilities include driving technical direction, raising the bar on product quality, security, availability, and performance, mentoring engineers, diagnosing and preventing performance issues, participating in incident response, and integrating agentic AI into production workflows while coaching others on responsible use. Required qualifications include deep backend expertise, adaptability with modern backend languages, architectural judgment, influence through clear written communication, and agentic AI experience; helpful experiences include high-throughput distributed systems, Kubernetes, database performance, modular monoliths or event-driven systems, and open-source or SaaS backgrounds. GitLab offers remote-first, global roles, flexible PTO, equity compensation, growth and parental leave, and emphasizes equal opportunity and accommodations, welcoming applicants with varying levels of experience and encouraging you to apply even if you don’t meet every stated qualification.

GitLab is an intelligent orchestration platform for DevSecOps with more than 50 million registered users and strong Fortune 100 adoption, and it embeds AI as a core productivity multiplier within a remote-first, high-performing culture. As an Intermediate Backend Engineer, you will take backend features from clarification through delivery and production follow-up, collaborating with Product Management, Frontend, Infrastructure, and Security to ensure quality, security, performance, and maintainability of shared backend code and services. You’ll own and ship features by designing, implementing, testing, and deploying backend functionality in Ruby/Rails, Go, or other modern languages, and you’ll design APIs, data models, background jobs, and bounded services with production readiness in mind. You’ll add automated coverage, review code for correctness and security, investigate failures, address technical debt, participate in on-call or operational support, and leverage AI productively in daily work while validating its outputs and recognizing its limits. GitLab offers benefits such as flexible PTO, equity, parental leave, and growth funds, supports global remote hiring, maintains an equal opportunity policy, and encourages applicants from underrepresented groups to apply even if they don’t meet every qualification.

GitLab describes itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security and compliance, and digital transformation, with 50 million+ users and Fortune 100 trust, and it treats AI as a core productivity multiplier across the team. The company emphasizes a high-performance, values-driven culture that fosters continuous knowledge exchange, innovation, and career growth while solving complex problems with industry leaders. The role is to lead the Switchboard team, which owns GitLab Dedicated’s Tenant management product, a cross-functional group (Frontend, Backend, Reliability) responsible for self-service and workflow automation for a large-scale dedicated tenant fleet. Responsibilities include guiding the full-stack Switchboard team, coordinating with a Product Manager and design for the customer-facing control panel, hiring and developing talent, planning and delivering with fast, high-quality, cross-functional execution, and driving improvements in quality, security, and performance to reduce manual operations. The ideal candidate has a proven track record with large-scale distributed services and fleet management (Terraform, Kubernetes, AWS), experience delivering services at 99.99% SLOs, familiarity with AI tooling to boost productivity, and the ability to lead distributed/remote teams; GitLab offers remote roles worldwide, plus benefits, equity, and a merit-based, equal-opportunity, privacy-conscious workplace, with some location-based eligibility.

GitLab is an AI-powered DevSecOps orchestration platform trusted by more than 50 million users and many Fortune 100 companies, embedding AI to boost productivity, innovation, and a high-performance, values-driven culture. They are seeking a technical engineering manager to lead the Dedicated Platform Integration team, responsible for integrating third-party and modular features into the Dedicated platform hosted SaaS. The role requires driving quality and speed, ensuring at least 99.9% availability with strong security and scalability for multi-tenant infrastructure, reducing toil through automation, enabling self-service production for feature implementers, and modeling incident management best practices. Candidates should have a proven track record building large-scale distributed services, experience with fleet management (Terraform, AWS) and automated provisioning across 20+ clusters, and a history of delivering four-nines (99.99%) SLOs while leveraging AI tools and leading high-performing, distributed teams. GitLab offers remote worldwide roles with benefits including health, PTO, equity, growth funding, and parental leave, and emphasizes equal opportunity, non-discrimination, and accommodations in recruitment and employment.

GitLab positions itself as the intelligent orchestration platform for DevSecOps that boosts developer productivity, efficiency, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embraced as a core productivity multiplier. The company seeks a Distinguished Engineer to lead technical direction across Core DevOps—CI, CD, Plan, and source control—and to align these systems with AI-native development and long-lived production environments. You will define the go-forward technical direction, translate company goals into roadmaps, measure success, manage systemic risk, drive design convergence, design safe migration paths, adopt AI capabilities, and serve as the escalation point for complex decisions across the group. Requirements include 10+ years of software engineering experience with 4+ years in senior technical leadership, deep expertise in AI/ML and production-scale, multi-tenant distributed systems, experience with human-in-the-loop controls and responsible AI practices, and strong mentoring and remote collaboration skills. The role is remote with a US base salary range of $250,000–$349,000 plus benefits, and GitLab is an equal opportunity employer that welcomes applicants from diverse backgrounds, with location eligibility and privacy policies noted.

GitLab is an AI-driven, remote-first platform for DevSecOps that helps organizations boost developer productivity, security, and digital transformation, trusted by over 50 million users and more than half of the Fortune 100. The role of Director, Legal – Employment (EMEA) is a remote, UK or Ireland–based, individual-contributor position with end-to-end ownership of employment matters across the region. You will lead complex employment law work—from recruiting and onboarding to compensation, performance, leave, and separation—while negotiating with works councils, guiding organizational changes, and representing GitLab in labor courts or tribunals, and you will build scalable processes and mentor colleagues. Requirements include a JD/LLB admitted in an EMEA jurisdiction, substantial multinational experience with works councils, proven outside-counsel management in labor proceedings, GDPR knowledge, and the ability to advise senior stakeholders in a remote, asynchronous environment. GitLab offers flexible PTO, equity, a Growth and Development Fund, parental leave, and a strong commitment to diversity and inclusion, with global hiring and location-based eligibility considerations.

Figma is expanding its team of creatives and builders to make design accessible, with a platform that supports brainstorming, prototyping, translating designs into code, and real-time collaboration—now enhanced by AI and generative design innovations. They are hiring an experienced AI Product Engineer to lead AI efforts from inception to implementation, working closely with an AI Research team and cross-functional partners to shape the future of AI at Figma. The role involves developing early-phase AI systems to improve user experience, measuring and improving AI performance and relevance, breaking down open-ended AI problems into engineering strategies, and mentoring the team while contributing to talent growth. Requirements include 5+ years of software engineering with at least 1 year of generative AI product development, full lifecycle AI development experience, ability to connect abstract models to business value, and familiarity with AI-assisted development tools; nice-to-have items include NLP/indexing/personalization expertise, multi-year roadmapping, an advanced degree, and mentoring experience. The position can be remote in the US or based in a US hub, with a base salary range of $153,000–$376,000 plus equity and comprehensive benefits, along with equal opportunity and accommodations policies; applicants’ data will be processed under Figma's Candidate Privacy Notice, and the company requires cameras to be on during video interviews and in-person onboarding.

Figma is expanding its team to make design accessible and to advance AI-driven design and collaboration, inviting applicants to help shape the future of design. The company is seeking an accomplished AI Product Engineer to lead AI efforts from inception to implementation, with the option for full-time remote work in the United States or from a US hub. The role entails leading early-phase AI system development to improve user experience, collaborating across engineers, product managers, and data scientists, breaking down open-ended AI problems, mentoring the team, and helping grow AI talent. Qualifications include 5+ years in software engineering with 1+ year building generative AI products, experience with the full lifecycle of early AI development, and the ability to connect modeling work to business value; preferred items include expertise in AI indexing, NLP, roadmapping, an advanced degree, and a growth mindset. Figma offers equity and a comprehensive benefits package, an annual base salary range of $153,000–$376,000, equal opportunity and disability accommodations, and notes onboarding and interview logistics such as camera-on video interviews and in-person onboarding.

Figma is hiring for its Research team’s Rapid Research program as a full-time role (remote in the US or from a US hub) that will rotate across product areas and work in one- to two-week sprints to inform product decisions. You’ll scope and run focused research, turn findings into actionable recommendations for designers and product managers, present to cross-functional teams and leadership, and bring clarity to ambiguous problems while continuously improving speed and rigor with new tools and templates. Requirements include 7+ years of experience in research within high-growth digital product environments or agencies, strong mixed-methods skills (qualitative interviews, quantitative surveys/data analysis), and demonstrated product judgment with ability to secure executive buy-in, plus the capacity to ramp quickly and deliver in short sprints. Nice-to-haves include proficiency in designing and prototyping in the Figma suite, familiarity with researching design and developer tools, a background in product design/PM/engineering, and the ability to combine analytics with qualitative research. Figma emphasizes growth, offers equity and a comprehensive benefits package with a salary range of $169,000–$250,000, equal opportunity employment with disability accommodations, cameras-on during interviews, in-person onboarding, and a Candidate Privacy Notice.

Figma is expanding its team and the Research group is hiring an experienced researcher for the Rapid Research program to work across product areas in one- to two-week sprints, clarifying problems and recommending changes. You’ll scope and run focused research, turn findings into actionable recommendations for designers and product managers, present to cross-functional teams and leadership, and rotate across product areas to build credibility quickly. Requirements include 7+ years of experience in research at high-growth product organizations or related fields, proficiency in mixed methods (qualitative and quantitative), strong product judgment and storytelling, the ability to ramp up quickly, and a scrappy, flexible approach with use of AI tools. The role is full-time and can be based in US hubs or remotely in the United States, with a base salary range of $169,000–$250,000 plus equity and a comprehensive benefits package including health/dental/vision, retirement, parental leave, mental health benefits, paid time off, and other perks. Figma is an equal opportunity employer, offers accommodations for disabilities, requires cameras to be on during video interviews and in-person onboarding, and provides a Candidate Privacy Notice to govern data handling.

Figma is expanding its data science team to tackle AI-driven product development, embedding data scientists in cross-functional groups and building AI-powered tools used by millions worldwide. The Data Scientist will own high-impact projects end-to-end, collaborating with Product, Engineering, Design, Research, Marketing, Sales, and Finance, while championing data quality and democratization. Requirements include 4+ years in Analytics/Data Science, fluency in SQL and Python or R, experience with distributed data systems, strong statistical methods, and proven cross-functional communication; it’s a plus to thrive when priorities shift. The role offers an annual base salary range of $140,000–$348,000, equity, and a comprehensive benefits package including health/dental/vision, retirement, parental leave, mental health, paid time off, sick leave, and other perks; roles can be based in US hubs or remote in the US. Figma is an equal opportunity employer that values diversity, provides accommodations for applicants with disabilities, requires cameras on during video interviews and in-person onboarding, and processes candidate data in line with the Candidate Privacy Notice, with encouragement to apply even if not a perfect match.

Figma is hiring an experienced Data Scientist to join a growing data team that works across Product, Finance, Marketing, and Platform, aiming to harness AI while keeping people at the heart of product development. The role involves collaborating to define and measure key metrics, design experiments, build models and data tools, own end-to-end data projects, and champion data quality and democratization across the organization. Requirements include 4+ years in Analytics/Data Science, SQL fluency with Python or R, experience with distributed data systems, a strong foundation in statistics and experimentation, and proven cross-functional communication, with adaptability as a plus. It’s a full-time role in US hubs or remote in the United States, with an annual base salary range of $140,000–$348,000, plus equity and a comprehensive benefits package and PTO. Figma emphasizes diversity and equal opportunity, offers accommodations for applicants with disabilities, and requires candidates to keep cameras on during video interviews and attend in-person onboarding, with data processing governed by the Candidate Privacy Notice.

Appfire is a remote, 800+ employee software company spanning 28 countries, known for flagship products such as JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. The company is seeking a collaborative and execution-focused Field Marketing Leader, Americas, to drive regional pipeline growth and customer engagement across North America and LATAM through targeted marketing programs, events, and partner initiatives. Reporting to the Manager, Global Field Marketing, the role will work closely with Sales, Partner Marketing, Demand Generation, Product Marketing, and partners to execute regional campaigns and field programs that align with go-to-market objectives. Responsibilities include developing integrated field marketing strategies for the Americas, planning and executing regional campaigns and events (including joint webinars with partners), coordinating with vendors and stakeholders, and measuring success with KPIs such as pipeline influence, sourced revenue, attendance, engagement, and ROI. Requirements include 5–8+ years in field/regional/partner marketing within B2B SaaS, experience owning events end-to-end, proven ability to drive pipeline through integrated regional campaigns, and Salesforce/CRM proficiency; nice-to-haves include Atlassian or SaaS ecosystem experience and multi-country programs; and offerings include equity, unlimited PTO with CSR days, company-paid health insurance (including dental), a 401(k) with match, FSA stipend, and a fully remote role for US/Canada.

Appfire is a remote-first software company with 800+ employees across 28 countries, offering products like JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. The Launch Manager role coordinates cross-functional product launches across Appfire’s portfolio, partnering with multiple teams to ensure successful go-to-market execution within the Launch Execution Framework. Key duties include orchestrating launches from intake to GA and post-launch, facilitating readiness reviews, surfacing risks, maintaining launch health visibility, coordinating concurrent launches, and driving process improvements including automation and AI capabilities. Requirements include 5+ years in launch/program/product operations or related roles in SaaS/tech, strong cross-functional coordination and influence, and experience with software product launches and governance. Benefits are generous and include equity, extensive paid time off and wellness days, volunteering opportunities, Appfire University learning, private health insurance, a Bulgarian remote work setup, and a commitment to equal opportunity.

Appfire is a remote-first software company with 800+ employees across 28 countries, offering flagship products like JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. The Launch Manager role coordinates cross-functional go-to-market efforts across the portfolio, partnering with product, marketing, sales, customer success, support, finance, legal, pricing, and other teams within Appfire’s Launch Execution Framework. Responsibilities include orchestrating launches from intake to GA and post-launch review, ensuring alignment on objectives, milestones, dependencies, and readiness, surfacing risks, and maintaining momentum, while coordinating multiple concurrent launches. Requirements include 5+ years in launch/program/product operations or related cross-functional roles in SaaS, strong organizational and facilitation skills, ability to influence without authority, and experience with software product launches and cross-functional processes. Benefits feature equity, generous time off and flexible work options (remote in Spain), learning and wellbeing programs, a home-office stipend, volunteering days, and recognition as an equal opportunity employer.

Appfire is a remote-first software company with 800+ employees across 28 countries, emphasizing flexible work, and its flagship products include JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture, with customer stories available on their site. The Launch Manager role coordinates cross-functional product launches across the portfolio, working with Product, Product Marketing, Marketing, Sales, Customer Success, Support, Operations, Finance, Legal, Pricing, and more to ensure successful go-to-market execution within the Launch Execution Framework. Responsibilities include orchestrating launches from intake to GA and post-launch review, facilitating readiness reviews and decision points, surfacing risks and blockers early, maintaining launch health visibility, coordinating multiple concurrent launches, and contributing to process and AI-driven improvements. Requirements include 5+ years in Launch Management, Program Management, Product Operations, Product Marketing, or related cross-functional roles in SaaS/tech, strong facilitation and communication, ability to influence without authority, and experience coordinating complex initiatives across multiple teams. Benefits include equity for all employees, 26 paid vacation days, Wellness Days, paid volunteering, learning via Appfire University, private health care and life insurance, lifestyle allowances and remote-work support, and Appfire’s commitment to equal opportunity employment.

Deviniti is hiring a Sales & Strategy Advisor (Head of Sales) who aims to influence how clients’ teams work and create competitive advantage, not just hit quotas. The role involves driving Professional Services sales targets, leading the sales team with dedicated pre-sales and delivery units, and shaping offerings for the Atlassian market transformation (cloud migrations), while collaborating closely with executive leadership to bridge sales, delivery, and marketing. Key responsibilities include building client value, owning annual revenue targets, leading a B2B sales team, managing 2–3 strategic accounts, and translating market insights into strategy for Delivery and Marketing. The ideal candidate has hands-on strategic account management experience, cross-selling/LTV expertise, a proven track record selling complex B2B IT services to Enterprise clients, mature leadership, knowledge of modern sales frameworks (e.g., MEDDPICC or Solution Selling), strong communication skills, and English C1 plus Polish C2; familiarity with the Atlassian ecosystem is a plus. Benefits include high autonomy, direct access to executives, comprehensive benefits with remote-friendly options, and a 5-stage recruitment process guided by Wiola, with more information available on the company site.

Deviniti is hiring an Enterprise Transformation Advisor (AI & Digital) for a remote role with frequent travel to client sites, joining a team of Digital Transformation experts led by Tomasz Stankiewicz and focusing on strategic advisory, AI, digital transformation, and Deviniti solutions (Cloud, Atlassian). The role is non-managerial and involves acting as a business and strategic partner to large enterprise organizations, building trusted relationships with C-level stakeholders to diagnose challenges, design strategy, and implement changes with measurable impact. Key duties include Strategy and Diagnosis (organizational audits, transformation roadmaps, business cases, diagnosing challenges in financial, banking, and energy sectors), Implementation and Adoption (coordinating technology implementations, ensuring adoption, fostering a culture of change, educating client teams), and C-level Partnership (advising executive teams, delivering measurable outcomes, and establishing credibility as a Trusted Advisor). Requirements include at least 10 years in enterprise or advisory roles, prior leadership of transformations in financial/banking/energy sectors, knowledge of ML/GenAI, cloud architectures (Azure, AWS, GCP), SDLC/PDLC, IT risk, ability to run workshops for executives, understanding Responsible AI and data protection, keeping up with AI market trends, and optional certifications like TOGAF, ITIL, PMP, Lean Six Sigma, plus a hands-on, team-oriented mindset. Benefits and process: Deviniti emphasizes well-being (Mindgram, in-house coaching), skill development, feedback culture, flexible work arrangements, and CSR through Deviniti Cares; recruitment comprises five stages (CV screening, phone interview, online interview, on-site in Wrocław, final decision in about two weeks), with more information on the company site and existing whistleblower protection and privacy policy.

Deviniti is seeking a Senior Account Executive to sell Professional Services, IT projects, consulting, and GenAI/Atlassian-related services to B2B, mid-market, and enterprise clients, with an emphasis on upselling and acquiring new projects and not focusing on body leasing or license-only sales. The role involves developing relationships with existing clients and new opportunities across AI/GenAI, Data, Software Development, Atlassian, and technology transformation, translating business needs into tailored IT solutions and guiding the full sales process to contract. Responsibilities include managing the full sales cycle, coordinating with consultants, presales, and delivery, preparing proposals and estimates, and maintaining CRM/forecast using MEDDPICC. Requirements include 4–5 years of B2B IT sales experience selling complex services to mid-market/enterprise, ability to work with technical teams, English at C1, and preferably knowledge of Atlassian or GenAI services; background limited to body leasing or licenses-only sales is not sufficient. The company offers flexible remote work, wellness and development programs, a culture of feedback, hobby groups, CSR via Deviniti Cares, and a 5-stage recruitment process led by Wiola, including CV screening, phone interview, online interview, an in-person meeting in Wrocław, and a final decision about two weeks later.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, and serves over 100 million users including many Fortune 500 companies to accelerate critical workflows. The company prides itself on innovation, excellence, empowerment, initiative and ownership, and teamwork, while fostering a diverse, inclusive culture and a hybrid work environment. This is an evergreen/future-opportunities posting for the NA Enterprise team, with interested candidates contacted by Recruiting for informal conversations as roles open up. The Enterprise Expansion Account Executive (EAE) will lead growth within Lucid’s largest accounts, driving complex multi-threaded deals, acting as a trusted advisor to senior Fortune 500 leaders, and collaborating with BDRs, CSMs, and Solutions Engineers, with travel of 1–3 weeks per quarter. Requirements include 10+ years in tech/SaaS sales (5+ years in complex enterprise software), a proven quota record, cross-functional leadership, strong communication and prospecting skills; plus preferred Eastern US location, expertise with Salesforce/Outreach/Gong, MEDDPICC or similar value-based selling, and a passion for SaaS and the future of work.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive business transformation at scale. The company emphasizes core values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, while fostering a diverse, respectful, and inclusive culture in a hybrid workplace that supports remote or office-based work. Expansion Account Executives will lead strategic expansion for current Lucidchart, Lucidspark, and Lucidscale customers across their territories, working with prospects and existing customers to demonstrate business value and partnering with Customer Success Managers to ensure renewals and ongoing engagement. Responsibilities include closing business, prospecting, building relationships, improving outbound prospecting and pipeline generation, maintaining reliable forecasts, and becoming an expert on value propositions and target personas, with a focus on teamwork over ego and meeting cross-functional SLAs; the role is an evergreen posting in Amsterdam, NL with hybrid work two days per week on-site (Tuesday and Thursday). Requirements include 3-5+ years of SaaS/tech sales closing experience, experience in prospecting and closing, Salesforce (or similar CRM) experience, and English fluency; preferred qualifications include Dutch, German, or Nordic language skills, experience with Outreach, maintaining Salesforce hygiene, ability to manage a large pipeline, and a BA/BS degree; this is an evergreen posting and a recruiter will reach out if your background aligns.

SmartBear delivers application integrity for modern tech stacks with governance to operate at AI speed and scale, offering deep test automation, API lifecycle management, and observability across the SDLC to set a new quality standard for delivery teams. It is trusted by developers, testers, and software engineers across 32,000 organizations—including 75% of the largest financial institutions—and customers such as Adobe, JetBlue, and Microsoft; its open-source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars, with brands like Swagger, TestComplete, Reflect, QMetry, and Zephyr. SmartBear emphasizes an inclusive, mission-driven culture with opportunities for growth, celebrates employees, and offers a comprehensive total rewards package, including benefits, flexible time off, hybrid work options, and pay transparency. The Renewals Specialist role involves building enduring customer relationships as a trusted advisor, driving retention and customer loyalty by expanding use and adoption, and identifying upsell and cross-sell opportunities within the software portfolio. Requirements include 1–2 years in a customer-facing role, a bachelor’s degree or equivalent, strong communication and interpersonal skills, the ability to consult remotely or onsite, and compensation that includes base salary plus on-target commission with an estimated annual cash compensation of $80,000.

Atlassians can choose where they work, whether in an office, from home, or a combination of the two. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder for a job description: [[INSERT JOB DESCRIPTION HERE]]. Overall, the text highlights flexible work arrangements and a global hiring footprint.

Atlassians can choose their work location, whether in an office, from home, or a combination of the two. This flexibility helps employees balance family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder indicating where a job description should be inserted. Overall, the text highlights flexible work arrangements and global hiring capabilities.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder for a job description: [[INSERT JOB DESCRIPTION HERE]]. Overall, the emphasis is on flexible work arrangements and a globally accessible hiring footprint.

Atlassian offers flexible work locations, allowing employees to choose office, remote, or a hybrid setup. This flexibility gives Atlassians more control to support their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a job description. Overall, the message emphasizes flexibility and global hiring as core principles.

Atlassian allows employees to choose where they work—not just in the office but from home or a mix of both. This approach gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder tag [[INSERT JOB DESCRIPTION HERE]] indicating a missing or to-be-filled job description. Overall, the excerpt emphasizes flexible work arrangements and global hiring within legal constraints.

Atlassians can choose their work location—office, from home, or a hybrid arrangement. This flexibility gives employees greater control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder for a job description to be inserted. Overall, the message emphasizes flexible work options, support for personal priorities, and global hiring reach.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. They’re seeking a Lead Product Designer for the Rovo & AI team to shape Rovo and AI experiences across Atlassian apps like Jira, Confluence, and Bitbucket by collaborating with teams throughout Atlassian. The role entails leading the strategic vision and conceptual design, applying systems thinking, and driving visual and interaction design while running design reviews and coaching other designers for cohesive AI experiences. You will lead design projects end-to-end, work with leadership and cross-functional teams to unify AI capabilities, tie outcomes to customer value with success metrics, and identify opportunities to enhance products and accelerate AI and search experiences. Qualifications include 10+ years in enterprise product design, experience delivering organization-wide design programs, end-to-end UX design, storytelling, balancing user needs with business/technical feasibility, facilitation and collaboration, design systems, and measuring success with qualitative and quantitative methods.

Atlassian supports flexible work arrangements and hires in any country where we have a legal entity; the Lead Product Designer will join the Rovo & AI team, primarily based in Australia and the west coast of North America, focusing on Rovo and AI experiences across Atlassian apps like Jira, Confluence, and Bitbucket. You will lead the strategic vision and conceptual design for customer experiences across the AI landscape, applying systems thinking to understand complex relationships between products, channels, and features. You will drive design reviews, serve as the design craft leader and coach to other designers, and partner with leadership and cross-functional teams to create a unified AI capabilities view across Atlassian. You will lead design projects end-to-end, tying them back to customer value delivery and outcomes, and identify metrics to ensure ongoing value while identifying opportunities to enhance products and accelerate AI and search experiences. Qualifications include 10+ years of enterprise software design, experience with strategic org-wide design programs, end-to-end UX design, storytelling, balancing user needs with business and technical feasibility, strong facilitation and collaboration skills, design systems experience, and the ability to measure success with qualitative and quantitative methods and improve processes to boost value and adoption.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. - They’re seeking a Lead Product Designer for the Rovo & AI team to shape AI experiences across Atlassian apps, with the team primarily based in Australia and the west coast of North America. - Responsibilities include leading the strategic vision and design for AI experiences, applying systems thinking, delivering strong visual and interaction design, leading design reviews and coaching designers, partnering with leadership to unify AI capabilities, and guiding end-to-end design projects tied to customer value. - You will identify success metrics, identify opportunities to enhance products and accelerate AI and search experiences, and collaborate with engineers, product managers, content designers, researchers, marketing, and analysts to advocate for the user experience and deliver high-quality work. - Qualifications require 10+ years of enterprise product design experience, experience delivering organization-wide design programs, end-to-end UX/product design, storytelling, balancing customer needs with business/technical feasibility, facilitation and cross-functional collaboration, design systems experience, and the ability to measure success and improve processes to increase product value, velocity, and adoption.

Atlassian offers flexible work options—office, remote, or a combination—and hires in any country where they have a legal entity, enabling employees to support family and personal goals. Loom is Atlassian’s async video product that lets teams share quick video walkthroughs or updates, and it integrates into Confluence with AI-generated transcripts and summaries via Rovo. Loom is now part of Atlassian, helping millions collaborate across time zones and entering a new phase to expand how async video and AI agents collaborate. Joining the Loom Analytics team means shaping the product’s direction at the intersection of product strategy, customer insight, and experimentation, partnering with cross-functional teams to become a trusted strategic partner. Your responsibilities include applying quantitative analysis and experimentation to develop and test hypotheses, forecasting and monitoring key product metrics, influencing roadmaps, and using storytelling to communicate insights to leadership.