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GitLab is an intelligent orchestration platform for DevSecOps trusted by over 50 million users and more than half of the Fortune 100, and it embeds AI as a core productivity multiplier within a high-performance, values-driven, fully remote culture where every voice is valued. As a Backend Engineer on the Chat Engine team, you’ll build the engine behind GitLab Duo Chat, mainly in Python, developing the agentic runtime (Flow Registry, LangGraph flows, Duo Workflow Service) and integrating Chat with the GitLab Rails monolith. You’ll develop secure, well-tested features, implement and extend agentic flows, ensure integration with the Rails GraphQL API, write maintainable code with tests, review contributions, tackle technical debt, collaborate with product, UX, and frontend teams, and participate in on-call rotations. Required qualifications include production Python experience, Ruby on Rails proficiency or willingness to learn, interest in large language models and prompting, API design and performance optimization, secure coding, clear communication, independent work, and experience with LangGraph/LangChain, GraphQL, RSpec, and remote teams. The role sits in GitLab’s AI Engineering organization’s Chat Engine team; the US base salary range is $115,200–$194,400, with benefits and equity options, and GitLab is an equal opportunity employer that provides accommodations and supports global, remote hiring.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security and compliance, and accelerate digital transformation, trusted by over 50 million users and more than half of the Fortune 100; AI is a core productivity multiplier across the company. The culture emphasizes a high-performance environment, continuous knowledge exchange, and valuing every voice, with a mission to co-create the future of software development. The Associate Renewals Manager role aims to maximize customer retention and minimize churn by driving renewals to retain or expand ARR, evaluating license usage, preparing renewal quotes, providing renewal administration, and ensuring timely closings through collaboration with Sales and Customer Success. Requirements include experience in related B2B software sales or customer experience, familiarity with subscription GTM and renewals, strong communication and negotiation skills, and preferably experience with DevOps or software development. GitLab offers flexible benefits, remote-first global hiring with location-based eligibility, and a strong commitment to equal opportunity and accommodation, along with privacy considerations and accessibility policies.

GitLab describes itself as an intelligent DevSecOps orchestration platform that boosts developer productivity, security, and digital transformation, with over 50 million users and broad Fortune 100 trust, plus a culture that embraces AI as a core productivity multiplier. The Area Vice President, Financial Services Sales, reporting to the VP of Sales, AMER, will build and lead a team of Regional Sales Directors and Strategic Account Executives to win new customers, expand existing relationships, and drive predictable annual recurring revenue growth in Financial Services. Responsibilities include setting the area strategy, driving customer success, delivering accurate forecasts, managing the sales funnel, and collaborating with Marketing, Channel, Alliances, Product, and Engineering to support growth and customer outcomes. Requirements cover progressive second-line leadership in strategic enterprise software sales, repeatable success hiring and developing leaders and reps, deep Financial Services market experience, quota overachievement, channel experience, strong communication, adaptability, travel willingness, and a bachelor’s degree. The role is remote globally; GitLab offers benefits such as flexible PTO, equity, growth funds, parental leave, and a strong commitment to equal opportunity and accessibility, along with location-based hiring guidelines and a Recruitment Privacy Policy.

GitLab positions itself as an intelligent DevSecOps platform that boosts developer productivity, operational efficiency, and security, trusted by millions and Fortune 100 companies. The AI Transformation Owner role is to shape their function’s AI strategy, identify where AI can transform operations, and drive measurable outcomes by managing the full lifecycle—from workflow mapping to adoption—fusing prototyping with no-code/low-code solutions alongside an Enterprise AI Engineer. Responsibilities span Strategy & Prioritization, Adoption & Change Management, and Hands-On Building & Agent Operations, including owning an AI agent fleet, defining success metrics, building a Champion network, and ensuring AI initiatives are adopted rather than merely automated. The candidate should have deep domain knowledge, strategic prioritization and product-management instincts, strong communication and cross-functional collaboration skills, experience building peer networks, and hands-on ability with AI tools, no-code/low-code platforms, prompt engineering, and data-flow mapping, working closely with Enterprise AI. The role is remote with a US base salary range of $203,200–$345,600 plus benefits and equity, and GitLab emphasizes equal opportunity hiring, recruitment privacy, and inclusive practices.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, security, and digital transformation, with over 50 million users and Fortune 100 trust, and a culture that treats AI as a core productivity multiplier. The AI Transformation Owner is a hands-on role in the Enablement & AI function of the CRO organization, responsible for translating AI capabilities into enablement roadmaps, field use cases, and governance, and for partnering with product and engineering to pilot, scale, and embed AI into daily workflows. Key responsibilities include owning the AI enablement roadmap, identifying high-value field use cases (e.g., deal support, prospecting, content generation, guided selling), building field champions, driving an operations transformation plan, and leading AI governance. Qualifications call for several years in enablement or GTM, direct experience evaluating or deploying AI tools, cross-functional fluency with product and engineering, autonomy, strong program management, an innovative mindset, and alignment with GitLab’s remote, transparent culture. The role is remote with global hiring, offering benefits like flexible PTO, equity, growth funds, parental leave, and home office support, with a US base salary range of $139,200–$235,200 and potential incentives up to 100% for sales roles.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and more than 50% of the Fortune 100, with AI treated as a core productivity multiplier embedded in its culture. The AI Engineer role, reporting to the Director of Enterprise AI, will own internal AI-powered solutions end-to-end, starting with diagnosing business problems, mapping workflows, identifying constraints, and validating whether AI is the right intervention, with initial work focused on Sales, Marketing, and Customer Support. Responsibilities include delivering working prototypes quickly, improving organizational flow, measuring success with flow and business metrics, integrating AI into existing systems via APIs and platforms like the GitLab Duo Agent Platform, and acting as Customer Zero to showcase AI offerings. Required qualifications include being a technologist at heart with strong coding skills, deep AI/LLM expertise (prompt engineering, model selection, agentic architectures), safety and risk awareness, systems thinking, enterprise data/workflow understanding, and end-to-end ownership with a product mindset; preferred items include GitLab experience, consulting or customer-facing roles, value stream mapping experience, and startup or high-growth background. The role sits within the Enterprise Technology & AI team in a fully remote, asynchronous environment with benefits such as flexible PTO, equity, and parental leave, and GitLab’s commitment to equal opportunity and non-discrimination.

Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals focused on helping customers perform risk assessments to trust Atlassian Cloud products and to earn and maintain customer trust at scale. As Senior Manager, you will lead an AMER-based team, collaborate with Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and drive improvements to trust and security practices, processes, and customer engagement, including acting as the primary contact for strategic & enterprise escalations and supporting executive briefings. You will contribute to strategic planning, shape an enterprise strategy aligned with Atlassian’s Trust objectives, drive tooling and process improvements, and support legal in negotiating security and compliance terms for customer agreements. Requirements include 10+ years in management roles across Security/Governance/Risk/Compliance, proven leadership and cross-functional influence, experience scaling trust programs, use of AI tools to improve efficiency, familiarity with AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience with Regulatory Compliance, Global Privacy, and Large-scale Cloud solutions.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity; the Trust Engagement team is a globally distributed group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products. The Senior Manager, Trust Engagement will drive the growth and expansion of how Atlassian earns and maintains customer trust, overseeing the team's interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support. They will focus on enhancing Trust & Security practices, improving internal processes, influencing product features, and strengthening customer engagement, while enabling customers' trust by meeting diverse expectations regarding Atlassian Cloud products. Responsibilities include providing leadership for an AMER-based team, contributing to strategic planning with senior leadership, driving scalable processes and tooling, partnering cross-functionally, serving as the primary contact for strategic and enterprise customer escalations, and supporting executive briefings and security/compliance negotiations for customer agreements. The role requires 10+ years in security/governance/risk/compliance management, experience mentoring high-performing teams, ability to influence cross-functional teams, experience scaling trust programs, familiarity with AI tools and AI security/compliance considerations, knowledge of certifications (FedRAMP, ISO 27001, PCI-DSS), and experience in Regulatory Compliance, Global Privacy Programs, Cloud Security, and large-scale enterprise cloud solutions.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where the company has a legal entity. - The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers conduct risk assessments to trust Atlassian Cloud products and to continually improve the Trust Program. - As Senior Manager, you will lead an AMER-based team, drive growth of customer trust, oversee cross-functional interactions with Trust & Security, GTM/Sales, Compliance, Privacy, Legal, and Customer Support, and influence internal processes and product features to strengthen customer engagement. - You will serve as the primary contact for strategic and enterprise customer escalations, support executive briefings, and work with Legal to negotiate security and compliance terms while driving process improvements and post-incident reviews. - The role requires 10+ years in management across Security, Governance, Risk, and Compliance; experience scaling trust programs; strong cross-functional influence; familiarity with AI tools and AI security considerations; and knowledge of certifications (e.g., FedRAMP, ISO 27001, PCI-DSS) plus experience with large-scale enterprise cloud solutions.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The role is Senior Manager in the globally distributed Trust Engagement team, a group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products. You will lead an AMER-based team and partner with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support to improve processes, tooling, and customer engagement, and serve as the primary contact for strategic and enterprise escalations and executive briefings. You will contribute to strategic planning for the Trust Engagement function and support legal in negotiating security and compliance terms for Atlassian Customer Agreements. The candidate should have 10+ years of management experience in Security, Governance, Risk, and Compliance (GRC), a track record of scaling trust programs across large organizations, experience with AI tools and AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience in regulatory compliance, global privacy programs, and cloud security for large-scale enterprise solutions.

Atlassian supports flexible work locations and hires globally wherever it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products, and the team is growing to strengthen its trust program and narrative. As Senior Manager, you will drive growth and expansion of how the company earns and maintains customer trust, oversee interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and lead a high-performing AMER-based team. You will lead strategic planning, process and tooling improvements, cross-functional partnerships, manage strategic and enterprise escalations, support executive briefings, and assist legal in negotiating security and compliance terms for customer agreements. Requirements include 10+ years in security/governance/risk/compliance, proven leadership and cross-functional influence, experience scaling trust programs, familiarity with AI tools and AI security/privacy considerations, and knowledge of certifications such as FedRAMP, ISO 27001, and PCI-DSS, along with experience in regulatory compliance, global privacy programs, and large-scale enterprise cloud solutions.

- Atlassian offers flexible work options (office, home, or hybrid) and can hire anywhere with a legal entity. - The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers perform risk assessments needed to trust Atlassian and its cloud products. - As Senior Manager, you will lead an AMER-based team, drive growth and expansion of customer trust, and partner with Security, Go-To-Market, Compliance, Privacy, Legal, and Customer Support to improve processes and engagement. - You will act as the primary point of contact for strategic and enterprise escalations, support executive briefings, assist legal in negotiating security and compliance terms for customer agreements, and drive scalable trust programs. - Candidates should have 10+ years in security/GRC management, demonstrated leadership and cross-functional influence, experience scaling trust programs, familiarity with AI tools and AI security considerations, and knowledge of certifications like FedRAMP, ISO 27001, PCI-DSS, plus experience with cloud security in large enterprises.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix, and hires people in any country where it has a legal entity. The role is Senior Manager, Trust Engagement, leading a globally distributed team of security and compliance professionals focused on helping customers perform risk assessments to trust Atlassian Cloud products, with collaboration across Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support. You will provide leadership to a high-performing AMER-based team, shape strategic planning for the Trust Engagement function, drive process, tooling, and reporting improvements, and act as the primary contact for Strategic & Enterprise customer escalations. You will support Atlassian Executive Briefings, assist in negotiating security and compliance terms for Customer Agreements, and require 10+ years in security/governance/risk/compliance with cross-functional influence and a track record of scalable programs, plus experience using AI tools to improve efficiency and familiarity with AI security/compliance considerations and relevant certifications. The role aims to enhance customer trust at scale by improving internal processes and product features to meet current and future customer expectations.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees more control over family, personal goals, and priorities. The company is seeking a Mid-Market Pre-Sales Solutions Engineer who will be a solution expert in the sales cycle, solving enterprise customer problems with Atlassian products and helping close deals. Atlassian serves over 250,000 customers such as NASA, IBM, HubSpot, Samsung, and Coca‑Cola, focusing on value selling and transforming outcomes through the power of its software, while maintaining a culture of teamwork where employees work with Atlassian, not for Atlassian. In this role you will partner with direct sales, partners, and larger account teams to understand the customer’s profile and problems, map them to Atlassian products, identify cross-product opportunities, and lead value-based demonstrations. You will also build strong partnerships with account executives, gather product feedback and competitive intelligence, and continuously learn to advance pre-sales, product, and platform knowledge.

At Atlassian, employees can work in an office, from home, or in a hybrid arrangement, and the company hires people in any country where it has a legal entity. They are seeking a Mid-Market Pre-Sales Solutions Engineer who is passionate about becoming a solution expert in the sales cycle to solve enterprise customer problems and help close deals. Atlassian highlights its 250,000+ customers, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and emphasizes value selling by showing how its products combine to transform business outcomes. Responsibilities include partnering with sales teams and partners, conducting customer discovery, identifying cross-product opportunities, acting as a product expert in pre-sales, delivering value-based demos, guiding technical needs, and providing feedback to product management. The culture centers on the motto “play as a team,” with mutual support and knowledge sharing, and there is high earnings potential tied to enterprise opportunities in cloud and AI.

Atlassian allows employees to choose their work location, including office, home, or a hybrid arrangement. This policy gives Atlassians greater control over supporting their family, personal goals, and other priorities. The company states it can hire people in any country where it has a legal entity. The text includes a placeholder indicating where a job description should be added. Overall, the focus is on flexible work options and global hiring within existing legal entities.

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. There is a placeholder in the text for a job description: [[INSERT JOB DESCRIPTION HERE]]. The overall message emphasizes flexibility and broad global hiring capabilities.

Atlassians can choose where they work—office, home, or a mix of the two. This flexibility gives them 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 inserting a job description. Overall, the message emphasizes flexible work arrangements and a global hiring capability.

Atlassians can choose to work in an office, from home, or in a hybrid arrangement. This flexibility allows employees to better 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 indicating that a job description will be inserted. Overall, the passage highlights flexible work locations and global hiring capabilities.

- Atlassian allows employees to choose their workplace, including office, home, or a mix. - This flexibility gives Atlassians 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 indicating where a job description will be inserted. - Overall, the message emphasizes flexible work options and global hiring with room for role-specific details.

Atlassian offers flexible work locations—office, home, or a combination. This setup gives employees 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 indicating where a job description will be inserted. Overall, the message emphasizes employee choice and global hiring capability.

At Atlassian, work arrangements are flexible (office, remote, or hybrid), and hires can be made in any country with a legal entity to support employees’ family, personal goals, and priorities. The Search Platform team powers Rovo Search and knowledge discovery across Atlassian and external apps, aiming to provide secure, fast, globally scalable, and cost-efficient enterprise search. The technical lead for Search Serving will set long-term direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems addressing latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation; setting the architecture roadmap for online retrieval, index serving, query processing, and ML inference; and turning advances in IR and ML into production through rigorous evaluation, experimentation, rollout, and incident response. Additional focus covers advancing production inference for embedding, retrieval, and ranking models with techniques like batching, quantization, distillation, and hardware-aware optimization, while leading multi-team initiatives, mentoring engineers, and raising team and platform maturity for best-in-class agentic development.

Atlassians can choose where they work and the company hires in any country where it has a legal entity. The Search Platform team powers Rovo Search and knowledge discovery across enterprise data, making knowledge across Atlassian and external apps searchable securely, quickly, and at scale. As the technical lead for Search Serving, you’ll set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities to improve the experience. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation, and defining the architecture for online retrieval, index serving, query processing, and ML inference. You’ll establish ML production practices, advance production inference with techniques like batching, quantization, distillation, and hardware-aware optimization, and lead cross-team initiatives while mentoring engineers to raise platform maturity and accelerate innovation.

Atlassian offers flexible work options and hires in any country with a legal entity for this role, within the Search Platform team. The team powers Rovo Search and enterprise data search, aiming to make knowledge across Atlassian and external apps securely, quickly, and at scale through an enterprise-grade infrastructure. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply new ML capabilities. Responsibilities include designing high-quality agentic search systems, setting the architecture for online retrieval, index serving, and ML inference, and turning IR and ML advances into production via rigorous evaluation, experimentation, and controlled rollout. The role also demands establishing ML production practices, advancing production inference with techniques like batching and quantization, leading cross-team initiatives, mentoring engineers, and elevating the team's maturity to accelerate innovation.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The Search Platform team powers Rovo Search to enable secure, fast, globally scalable, and cost-efficient knowledge discovery across Atlassian data and third-party apps. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, and capacity; establishing the architecture for online retrieval, index serving, query processing, and ML inference; turning IR and ML advances into production systems with rigorous evaluation and safe rollout practices; and advancing production inference through techniques like batching, quantization, distillation, compilation, and hardware-aware optimization. The role also involves leading cross-team initiatives, mentoring engineers, aligning technical and product leaders around the long-term direction, and elevating the team's maturity to accelerate innovation.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. Atlassian's Rovo Experiences & Growth organization builds customer-facing AI experiences to help people find, understand, and act on their organization's knowledge, with teams spanning Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients across web, mobile, desktop, and browser extensions. The organization leads technical strategy and architecture across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, ensuring scalable, reliable, secure, and cohesive experiences, and shapes the convergence of Search and Chat for multi-step interactions and actions. It develops rich, reusable experience foundations, reduces fragmentation, and partners with product, design, data science, ML, and engineering to define and deliver a roadmap of high-impact Rovo experiences, enabling rapid experimentation, contextual activation, personalization, measurement, and continuous improvement. Additional responsibilities include leading complex cross-organizational initiatives, raising quality and operational excellence, standardizing AI development and deployment into scalable, composable approaches, and mentoring senior engineers while fostering inclusive collaboration and continuous learning.

- Atlassians can choose where to work—office, home, or a hybrid—and Atlassian hires people in any country where it has a legal entity. - The Rovo Experiences & Growth organization builds customer-facing AI experiences across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, delivering them on web, mobile, desktop, and browser extensions to help customers use Rovo daily. - The role leads technical strategy and architecture for these products, ensuring scalability, reliability, security, and cohesion, and drives the convergence of Search and Chat with shared patterns for information retrieval, context, multi-step interactions, and action. - It develops reusable experience foundations across Atlassian products and integrates with third-party tools, partners with product, design, data science, ML, and engineering to define a high-impact roadmap, and enables sustainable growth through rapid experimentation, contextual activation, personalization, measurement, and continuous improvement, while leading cross-organizational initiatives. - It raises the bar for quality, performance, trust, and operational excellence, standardizes AI development and deployment toward scalable, composable, repeatable approaches, and mentors senior engineers to promote technical excellence, inclusive collaboration, and continuous learning.

Atlassian supports flexible work locations—office, home, or a mix—and hires in any country with a legal entity to help employees balance family, personal goals, and priorities. The way people find and use knowledge at work is changing: AI agents must understand goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. Atlassian is building an intelligence layer called context-layer across the enterprise ecosystem, with their team working at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. They are solving problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, presenting an opportunity to shape search in the agent era. The role involves building systems for AI agents to discover information, reason over enterprise knowledge, and choose capabilities, across areas such as Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with considerations of permissions, freshness, latency, trust, heterogeneous data, and multi-tenant systems.

1) Atlassians can work anywhere—office, home, or a blend—and the company hires in any country with a legal entity, giving teams more control over family, personal goals, and priorities. 2) As the way people find and use knowledge at work changes, AI agents must understand user goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. 3) Atlassian is building an intelligence layer, the context-layer, to enable this across the enterprise and broader ecosystem, at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. 4) The team tackles problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, and invites those excited about defining search in the agent era. 5) You’ll work on building systems that let AI agents discover information, reason over enterprise knowledge, and choose the right capabilities, across areas like Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with concerns about permissions, freshness, latency, trust, data heterogeneity, and multi-tenancy.

Atlassian is hiring a Senior Machine Learning Engineer for the Search & Intelligence organization to build intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines powering AI products and innovation across the company. The role leads development and productionization of advanced ML systems to improve how people discover, understand, and act on knowledge, spanning the full ML lifecycle from problem definition to deployment and ongoing optimization, and Atlassian supports flexible work arrangements (office, home, or a combination) with hires in any country where we have a legal entity. You will work with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, and designing robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experiments and evaluations. You will collaborate with product, engineering, data science, analytics, and platform teams to integrate AI capabilities into Atlassian products, translate research into reliable production systems, identify opportunities to improve model performance and developer experience, and communicate trade-offs and results clearly to technical and non-technical audiences while helping foster a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer in the Search & Intelligence group to build intelligent experiences, models, and data pipelines that power AI products and accelerate innovation. You can work anywhere—office, home, or a mix—and Atlassian hires in any country where it has a legal entity. The role involves leading end-to-end ML projects from problem definition and data exploration through development, deployment, and ongoing optimization, in collaboration with product managers, engineers, and data scientists. Responsibilities include designing production-ready ML algorithms and architectures for information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experimentation and evaluation to translate research into reliable systems. You will mentor engineers, shape technical strategy, promote experimentation and inclusive collaboration, and communicate decisions and results clearly to both technical and non-technical audiences.

Atlassian is looking for a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, home, or a hybrid—and the company can hire in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced ML systems that improve how people discover, understand, and act on knowledge across Atlassian, spanning the full ML lifecycle from problem definition and data exploration to model development, experimentation, evaluation, deployment, and optimization, partnering with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions. You will design and implement state-of-the-art ML algorithms for production, own ML projects end-to-end, and design robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across areas such as information retrieval, search ranking, personalization, NLP, deep learning, and large language model applications. You will design and execute rigorous experiments and evaluations, collaborate with cross-functional teams to integrate AI capabilities into Atlassian products, translate research into reliable production-quality systems, identify opportunities to improve model performance and customer outcomes, communicate decisions and results clearly to technical and non-technical audiences, and mentor others while contributing to technical strategy and a culture of experimentation and iterative delivery.

Atlassian is seeking a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, remote, or a hybrid—and the company can hire people in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced machine learning systems that improve how people discover, understand, and act on knowledge across Atlassian, working across the full ML lifecycle from problem definition and data exploration to model development, experimentation, deployment, and ongoing optimization. You will partner with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing and implementing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, designing robust architectures for quality, latency, scale, privacy, and cost, and conducting rigorous experiments and evaluations, while communicating findings to technical and non-technical audiences and fostering a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for Atlassian’s AI products. The company offers flexible work options and hires in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with an emphasis on making evaluation a first-class part of AI development. Responsibilities include designing evaluation-driven development processes, building evaluation datasets and benchmarks, conducting offline and online evaluations, human assessments, model-based evaluations, error analysis, and mentoring other engineers while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. The work requires designing scalable architectures that meet quality, reliability, latency, privacy, and cost requirements, applying modern techniques in information retrieval, ranking, embeddings, NLP, deep learning, and large language models, and communicating technical decisions and results clearly to both technical and non-technical audiences while contributing to ML and engineering best practices.

Atlassian seeks a Senior ML Engineer for its Search & Intelligence org to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering Atlassian’s AI products. Employees can work from office, home, or hybrid, and the company hires in any country with a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement, with an emphasis on evaluation-driven development. Responsibilities include building evaluation datasets, benchmarks, regression suites, offline/online evaluations, error analysis, and designing scalable architectures for quality, latency, privacy, and cost, while collaborating with cross-functional teams and mentoring others. You should apply modern techniques in information retrieval, NLP, deep learning, and large language models, communicate decisions clearly across audiences, and contribute to engineering and ML best practices.

Atlassian is seeking a Senior Machine Learning Engineer for its Search & Intelligence group to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering its AI products. Atlassian offers flexible work options and hires in any country where it has a legal entity. In this role you will develop and productionize ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects across the entire ML lifecycle from problem definition to deployment and continuous improvement. A key part of the role is making evaluation a first-class part of AI development, including defining quality, building evaluation datasets and benchmarks, analyzing model behavior, and guiding product and engineering decisions, while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. You will design scalable architectures, apply modern techniques in information retrieval, embeddings, NLP, deep learning, and large language models; conduct offline and online evaluations, build datasets and pipelines, communicate technical decisions clearly, mentor engineers, and contribute to engineering and ML best practices.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for AI products. Employees can work in-office, from home, or a hybrid, and Atlassian can hire in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with a emphasis on evaluation as a first-class part of AI development. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, independently solve complex problems, contribute to technical direction, and mentor other engineers. Responsibilities include building AI systems, designing evaluation-driven processes, creating evaluation datasets and benchmarks, conducting offline and online evaluations, building scalable architectures, applying techniques from information retrieval, NLP, deep learning, and LLMs, and communicating decisions while mentoring on best practices.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for the Growth organization to help create personalized experiences that guide customers through the lifecycle. The Growth team spans product, engineering, data science, analytics, and operations and focuses on experimentation, personalization, and intelligent orchestration to improve discovery and adoption across the funnel. The ML Engineer will design, build, and operate systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including data foundations, features, models, evaluation frameworks, and decisioning, moving cross-flow ranking toward a unified, value-aware orchestration system. Requirements include a degree plus 5+ years in ML, strong Python and knowledge of Java/Typescript, SQL, Spark, cloud data environments, experience deploying large-scale models, building datasets and evals, and the ability to communicate ML concepts to diverse audiences while emphasizing practicality and iterative improvement. Nice-to-haves include experience in consumer/B2B SaaS, growth-focused ML applications, and familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, as well as collaboration with product, analytics, marketing, and sales teams.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the customer lifecycle. The role involves turning behavioral and product signals into scalable ML systems that support the growth funnel and enable more relevant customer and sales experiences. You will design, build, and operate ML systems for personalized recommendations, activation journeys, cross‑product expansion, and sales experiences, while striving for durable business value. Requirements include 5+ years in ML, a Bachelor’s or Master’s degree (preferably CS), strong Python (plus Java/Typescript), SQL, Spark, cloud data environments, and experience delivering large-scale ML in business applications, with the ability to communicate ML concepts to diverse audiences and a pragmatic, iterative mindset. Nice-to-have: experience in consumer or B2B SaaS contexts, familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, and collaboration with product/analytics/marketing/sales to build personalized journeys.

1. Atlassian offers flexible work options, allowing employees to work in-office, from home, or a hybrid, to balance responsibilities and family. 2. Atlassian is hiring a Machine Learning Engineer for the Growth organization to build intelligent, personalized experiences that help customers discover value and progress through the lifecycle. 3. The role involves designing, building, and operating ML systems, developing models and decisioning services for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, and transitioning from fragmented heuristics to a unified orchestration system based on context, conversion probability, and lifetime value. 4. Requirements include a bachelor’s or master’s in CS or equivalent, 5+ years in ML, proficiency in Python (and Java/TypeScript), SQL, Spark, and cloud environments (AWS, Databricks), and strong ability to communicate ML concepts and collaborate across teams; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference is a plus. 5. Bonus experience includes working in consumer SaaS or enterprise B2B, applying ML to growth and personalization, and understanding engagement, activation, conversion, expansion, and retention metrics to balance short-term and long-term outcomes.

Atlassian offers flexible work locations (office, home, or hybrid) to balance business responsibilities with family needs. They’re hiring a Machine Learning Engineer for Growth, a unit that builds intelligent, personalized experiences to guide customers through the lifecycle from awareness to retention. The role involves designing, building, and operating ML systems for personalized recommendations, activation journeys, cross-product expansion, and sales experiences, plus developing data foundations, features, evaluation frameworks, and decisioning toward a unified, value-aware orchestration system. You’ll partner with product, engineering, data science, analytics, marketing, and sales to translate opportunities into measurable experiments and production capabilities, including offline/online evaluation, monitoring, and ensuring durable customer and portfolio value. Requirements include 5+ years of ML experience, a CS degree preferred, proficiency in Python (plus Java/Typescript), SQL, Spark, and cloud environments (AWS/Databricks), experience scaling models, building datasets/evals, strong communication, agile mindset, ability to solve ambiguities, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; optional experience in SaaS/B2B contexts and understanding engagement/activation/conversion/expansion/retention metrics.

Atlassian offers flexible work options—office, home, or hybrid—and is hiring a Machine Learning Engineer to join Growth to build intelligent, personalized experiences that help customers discover value, adopt Atlassian, and progress through the lifecycle. The Growth team brings together product, engineering, data science, analytics, and product operations to optimize the full funnel—from acquisition and onboarding to activation, expansion, and retention—through experimentation, personalization, and intelligent orchestration. You will design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including creating data foundations, features, models, evaluation frameworks, and decisioning systems for cross-product rankings and personalized journeys. You will define the ML strategy to support Atlassian’s short-, mid-, and long-term goals and partner with product, engineering, data science, analytics, marketing, and sales to translate opportunities into measurable experiments and production capabilities, while monitoring attribution, latency, quality, and fairness. Requirements include a Bachelor’s or Master’s in CS (or equivalent), 5+ years of ML experience, proficiency in Python (and Java/Typescript), SQL, Spark, cloud data environments (AWS, Databricks), experience building scalable models and datasets/evaluations, strong communication skills, an agile, iterative mindset, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; plus optional experience in SaaS/B2B or consumer growth contexts.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for its Growth organization, which builds intelligent, personalized experiences to guide customers from awareness to expansion and retention. The role will turn behavioral and product signals into scalable ML systems that power the growth funnel, enabling more relevant customer and sales experiences across surfaces like navigation, screen-space flags, and the app-switcher. You will join a cross-functional Growth team spanning product, engineering, data science, analytics, and product operations to develop ML capabilities, data foundations, features, models, evaluation frameworks, and decisioning systems for cross-product recommendations and personalized journeys. Responsibilities include designing, building, and operating ML systems for personalized recommendations and activation journeys, defining strategy for ML capabilities, and partnering with product, analytics, marketing, and sales to run experiments and production capabilities while monitoring attribution, latency, quality, and fairness. Requirements include 5+ years in ML, a CS-related degree, strong Python (plus Java/Typescript), SQL, Spark, cloud experience, experience scaling ML in business applications, ability to communicate ML concepts, and familiarity with contextual bandits, uplift modeling, recommender systems, and causal inference; bonus if you have SaaS/B2B or growth-focused experience.

Atlassian offers flexible work options, 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. There is a placeholder in the text for inserting a job description. Overall, the message emphasizes adaptable work arrangements and international hiring capabilities.

Atlassian lets employees decide where they work—office, home, or a mix. This choice gives them greater control over work-life balance, family, and personal goals. Atlassian can hire people in any country where it has a legal entity. [[INSERT JOB DESCRIPTION HERE]] is a placeholder indicating where a specific job description will be inserted. Overall, the text emphasizes flexible work arrangements and a global hiring scope.

Atlassians can choose where they work, whether in an office, from home, or a combination of the two. This flexibility gives them more control over supporting 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 a job description: [[INSERT JOB DESCRIPTION HERE]]. Overall, the message emphasizes flexible work options and broad global hiring.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians greater control over supporting family needs, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder indicating a job description will be inserted. Overall, the message emphasizes flexible work options and broad international hiring capability.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility helps Atlassians better support 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 indicating that a job description should be inserted. Overall, the text emphasizes flexible work arrangements and global hiring capabilities.

Atlassians can choose where they work—office, home, or a mix. This flexibility gives employees more control over supporting 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, it emphasizes flexible work arrangements and global hiring options at Atlassian.

- Atlassian offers flexible work options and hires globally where it has a legal entity. - Atlassian’s Trusted Data Platform (TDP) provides secure, scalable data storage used by product and platform teams, meeting enterprise needs such as data residency, encryption, regulatory compliance, backup and recovery, and multi-cloud operations. - TDP SQL is Atlassian’s managed relational database platform, giving engineering teams a supported way to build applications on relational databases without managing infrastructure, availability, security, scaling, or other enterprise controls themselves. - The Senior Engineering Manager for TDP SQL will lead the team, owning its people, strategy, execution, and operational outcomes, and will partner with senior engineers, product and program leaders, infrastructure, security, and product teams to evolve TDP SQL into a dependable, easy-to-adopt internal platform. - Responsibilities include building an inclusive, high-performing team; defining strategy and roadmaps; surfacing delivery risks and dependencies; improving platform adoption and reliability; managing cost posture; and leading cross-functional collaboration across product, security, reliability, and infrastructure to ensure trusted, compliant, and cost-efficient platform delivery.

Atlassian offers flexible work locations and hires globally, with the Trusted Data Platform (TDP) providing secure, scalable data storage including data residency, encryption, compliance, backup, and multi-cloud operation; TDP SQL is the managed relational database platform. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for people, strategy, execution, and operational outcomes, partnering with senior engineers, product, infrastructure, security, and product organizations to evolve TDP SQL as a dependable internal platform. Responsibilities include building an inclusive, high-performing team, establishing operating practices, managing capacity across strategic investments, commitments, and technical debt, and translating enterprise requirements into a clear, measurable roadmap. The role requires owning the platform’s reliability and trust—availability, durability, performance, security, compliance, recoverability, incident response, and disaster recovery—ensuring data residency and regulated environments with clear visibility into customer commitments. It also entails technical and cross-functional leadership across architectural direction for multi-cloud, balancing delivery with platform simplification, establishing contracts with infrastructure and customer teams, representing TDP SQL in reviews, and owning cost posture and investment decisions for customer trust and sustainable cost efficiency.

Atlassian supports flexible work arrangements and hires in any country where it has a legal entity, while the Trusted Data Platform (TDP) provides secure, scalable data storage for product and platform teams with requirements like data residency, encryption, compliance, and multi-cloud operation. TDP SQL is Atlassian’s managed relational database platform that lets engineering teams build applications on relational databases without managing underlying infrastructure, security, or scaling. Atlassian is looking for a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product, security, and infrastructure teams to evolve TDP SQL into a dependable internal platform. The role emphasizes building an inclusive, high-performing team, establishing operating practices, managing capacity across strategic investments and technical debt, and delivering a clear, executable roadmap. Additional focus areas include defining the TDP SQL strategy, ensuring reliability and compliance, guiding multi-cloud architectural direction, fostering cross-functional partnerships, and owning the platform’s cost posture to balance customer trust with sustainable cost efficiency.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity. Their Trusted Data Platform provides secure, scalable data storage for product and platform teams, addressing data residency, encryption, regulatory compliance, backup/recovery, and multi-cloud operations. TDP SQL is Atlassian’s managed relational database platform, enabling teams to build applications without managing underlying infrastructure, availability, security, scaling, or enterprise controls. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product, security, and infrastructure teams to evolve TDP SQL into a dependable internal platform. Key responsibilities include building an inclusive, high-performing team; defining strategy and roadmap; ensuring reliability, security, and compliance; driving platform adoption; guiding architecture and cross-functional collaboration; and managing cost and capacity.

Atlassian supports flexible work arrangements and global hiring, and its Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage with data residency, encryption, regulatory compliance, backup/recovery, and multi-cloud operation; TDP SQL is Atlassian’s managed relational database platform built on TDP. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for the team’s people, strategy, execution, and operational outcomes, partnering with senior engineers, product and program leaders, infrastructure teams, security specialists, and Atlassian product organizations to evolve TDP SQL as a dependable, easy-to-adopt internal platform. Responsibilities include leading and developing managers and engineers, building an inclusive, high-performing team through hiring, onboarding, talent development, and succession planning, delegating meaningful ownership, establishing operating practices, and managing capacity across strategic investments, customer commitments, operational work, and technical debt. The role requires defining and executing the TDP SQL strategy and roadmap in alignment with Atlassian’s data-platform goals, surfacing delivery risks and dependencies early, increasing platform adoption, and owning the platform’s reliability, security, compliance, and recoverability with service-level objectives and incident response. It also entails cross-functional leadership to establish architectural direction across multi-cloud environments, manage technical and operational contracts with dependent teams, represent TDP SQL in reviews and portfolio planning, and own cost posture and investment decisions that balance customer trust with sustainable cost efficiency.

Atlassian supports flexible, office/home/hybrid work and hires globally where it has legal entities, and operates the Trusted Data Platform (TDP) for secure, scalable data storage across clouds, including data residency, encryption, and compliance, with TDP SQL as the managed relational database layer. The company is seeking a Senior Engineering Manager to lead the TDP SQL team, accountable for people, strategy, execution, and operating outcomes, working with senior engineers, product, infrastructure, security, and other Atlassian teams to make TDP SQL a dependable internal platform. The role emphasizes building an inclusive, high-performing engineering organization, establishing effective operating practices, and balancing strategic investments, customer commitments, and technical debt. Responsibilities include defining and executing the TDP SQL strategy and roadmap, ensuring reliability with SLAs and incident response, and improving adoption by reducing integration complexity while supporting data residency and regulatory needs. Cross-functional leadership covers architectural direction across multiple clouds, managing platform costs and partner relationships, and making investments that prioritize customer trust and sustainable cost efficiency.

Atlassian supports flexible work locations and global hiring, giving employees control over work-life priorities and enabling hiring in any country with a legal entity. Their Trusted Data Platform (TDP) provides secure, scalable data storage, with TDP SQL offering a managed relational database platform for internal use. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to partner with senior engineers and various product, infrastructure, and security teams. The role involves defining the TDP SQL strategy and roadmap, surfacing risks early, increasing platform adoption, and ensuring designs meet scalability, security, data residency, and multi-cloud requirements. Cross-functional leadership also includes managing cost posture, capacity, investments, and ownership of infrastructure efficiency and unit economics while balancing delivery with platform simplification.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, guided by core principles centered on customer outcomes, strategic engagements, long-term value, and crafting beautiful, repeatable results. - The Principal Value Advisor for DX is a highly influential individual contributor who shapes strategic value engagements, defines the value proposition of DX solutions, and sets the standard for craft excellence and customer-centricity across the organization. - Key responsibilities include engaging with senior executives to develop tailored value-based solutions, building business cases and metrics, delivering executive storytelling, driving innovation in DX offerings, and collaborating across functions with up to 15-20% travel. - Must-have qualifications include 7+ years in value or strategy consulting, extensive experience with cloud technologies and digital transformation, proven ability to lead cross-functional engagements, and strong financial modeling and executive communication skills. - Nice-to-have elements include familiarity with Atlassian products, experience with workflow or service management tools, regional language coverage, and relevant industries such as financial services, software/tech, and government.

Atlassian offers flexible work locations—office, home, or a hybrid model—and hires globally where it has a legal entity, enabling employees to balance family and personal goals. Core principles emphasize owning customer outcomes, pursuing strategic engagements with stakeholders, playing the long game, and delivering beautiful, repeatable work to advance DX. The Principal Value Advisor for DX is a highly influential individual contributor who defines DX’s value proposition, drives innovation, and sets the standard for customer-centric craft across the organization. Key responsibilities include building senior-level customer relationships, developing business cases and value metrics, synthesizing data into innovative solutions, delivering executive storytelling, driving DX innovations and practice initiatives, collaborating across functions, and traveling 15–20% for customer engagements. Must-have qualifications include 7+ years in value or strategy consulting or related fields with cloud and digital transformation experience, mastery of financial modeling and value articulation, and strong executive communication; nice-to-have items include familiarity with Atlassian solutions, relevant tooling, regional language coverage, and experience in industries like financial services, software/tech, and government.

Atlassian allows employees to choose their work location—office, home, or a mix. This arrangement gives employees more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The policy emphasizes flexibility to help staff balance work with life considerations. Overall, the text highlights a flexible, globally accessible work model designed to empower employees.

- Atlassians can choose where they work, whether in an office, from home, or a combination of the two. - This flexibility gives them more control over supporting their family, personal goals, and other priorities. - Atlassian can hire people in any country where it has a legal entity. - The policy emphasizes employee autonomy and work-life balance. - The text ends with the token "NTD," which may be a note or placeholder.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally to build a 100-year company with empowered engineering teams and the right tools. Engineering at Atlassian prioritizes AI and the transition to the cloud, delivering maximum value through Jira, Confluence, Trello, and Bitbucket. In this role, you will tackle large, complex problems, provide technical leadership on high-impact projects, champion a high technical standard across Atlassian, and drive cross-functional, company-wide initiatives. You will transfer knowledge, share best practices, and mentor the next generation of technical leaders to improve engineering excellence. The ideal candidate has 10+ years of full-stack experience (Java, Scala, Node, JavaScript, or React), a CS degree or equivalent, deep experience in systems engineering at scale (testing, reliability, security, observability), strong communication and mentoring skills, a focus on customer impact in decision-making, and familiarity with A/B testing.

At Atlassian, employees can choose where they work (office, home, or hybrid) and the company hires globally where it has a legal entity, to support personal goals and family needs. Atlassian aims to be a 100-year company with empowered engineering teams, equipped to do their best work, while focusing on AI and customers' cloud transitions and delivering value through Jira, Confluence, Trello, and Bitbucket. The roles target individuals who want to shape the future, tackle large, complex problems, provide technical leadership, and establish architectural standards across new projects. The position also involves driving company-wide initiatives, sharing engineering best practices, mentoring future technical leaders, and elevating the technical bar across the organization. Candidates should have 10+ years of full-stack experience with languages like Java, Scala, Node, JavaScript, or React, strong systems engineering skills at scale (testing, reliability, security, observability), excellent communication, and a focus on customer impact in technical decisions, including familiarity with A/B testing.

Atlassian offers flexible work options (office, home, or a mix) and hires globally where it has a legal entity, giving employees control over family and personal priorities. It aims to build a 100-year company through a world-class engineering organization of empowered teams, focused on AI and the cloud transition for customers, while delivering value through Jira, Confluence, Trello, and Bitbucket. Atlassian seeks individuals eager to shape the future and collaborate to achieve extraordinary results. In this role, you will tackle the largest and most complex problems, provide technical leadership, address architecture challenges, raise the technical bar, collaborate on company-wide initiatives, share best practices, and mentor future technical leaders. Requirements include 10+ years of full-stack experience with languages such as Java, Scala, Node, JavaScript, or React; a CS degree (or equivalent), deep systems engineering experience at scale (testing, reliability, security, observability), strong communication, mentoring ability, customer-focused decision making, and familiarity with A/B testing.

At Atlassian, employees can work in an office, from home, or a mix of both, and the company hires in any country where it has a legal entity, aiming to support personal goals and build a 100-year engineering organization with empowered teams and the right tools. The engineering focus emphasizes advancing AI, helping customers migrate to the cloud, and delivering maximum value through Jira, Confluence, Trello, and Bitbucket. The role involves tackling the largest and most complex problems, providing technical leadership, addressing architecture challenges, and championing high technical standards across the organization. It also requires partnering across engineering teams on company-wide initiatives, sharing best practices, and mentoring the next generation of technical leaders. Candidates should have 10+ years in full-stack development with languages such as Java, Scala, Node/JavaScript/React, a computer science degree or equivalent, deep experience in systems engineering at scale (testing, reliability, security, observability), strong communication skills, mentoring experience, customer-focused decision-making, and familiarity with A/B testing.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity. They’re seeking a Lead Product Designer to join the Rovo & AI team, responsible for Rovo and AI experiences and working across Atlassian apps’ AI features with teams across Atlassian; the team is primarily based in Australia and the West Coast of North America. Responsibilities include leading strategic vision and design outcomes for the AI landscape, applying systems thinking, strong visual/interaction design, driving design reviews, and coaching other designers to ensure cohesive AI experiences, and partnering with leadership to unify AI capabilities. You will lead design projects end-to-end, tie design work to customer value delivery and outcomes, identify success metrics, and collaborate with engineers, product managers, content designers, researchers, marketing, and analysts to ship high-quality work. Qualifications require 10+ years of product design experience, enterprise software design, end-to-end UX, experience with org-wide design programs, storytelling, balancing customer needs with business and technical feasibility, facilitation and cross-functional collaboration, design systems, measuring success, and improving processes and adoption of new capabilities.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The company is hiring a Lead Product Designer for the Rovo & AI team, with responsibilities spanning the Rovo flagship AI experience and AI features across Jira, Confluence, Bitbucket, and other Atlassian apps, with the team primarily based in Australia and the U.S. West Coast. Responsibilities include leading the strategic vision and design outcomes for AI experiences, applying systems thinking to navigate complex product relationships, and demonstrating strong visual and interaction design to communicate impact while guiding other designers. You will partner with leadership and cross-functional teams to create a unified design view of AI capabilities, lead end-to-end design projects, tie outcomes to customer value, identify success metrics, and seek opportunities to accelerate AI and search experiences. Qualifications call for 10+ years of enterprise product design, a track record of org-wide design programs, end-to-end UX design, storytelling, balancing user, business, and technical feasibility, cross-functional collaboration, design systems expertise, and experience measuring success and improving processes.

Atlassian offers flexible work locations—office, home, or hybrid—and hires people in any country where they have a legal entity. They’re seeking a Lead Product Designer for the Rovo & AI team to work on AI experiences across Atlassian apps (Jira, Confluence, Bitbucket, etc.) with collaboration across teams, primarily based in Australia and the West Coast of North America. Responsibilities include leading the strategic vision and conceptual design for customer experiences across the AI landscape, applying systems thinking, driving cohesive design, and leading design reviews while coaching other designers. The role entails partnering with leadership and cross-functional teams to create a unified view of AI capabilities, leading projects from creation to execution, tying outcomes to customer value, and identifying success metrics and opportunities to accelerate AI and search experiences. Qualifications require 10+ years in enterprise software product design, experience delivering end-to-end UX and strategic programs across multiple delivery teams, storytelling, balancing user needs with business and technical feasibility, collaboration and facilitation, design systems expertise, and experience measuring success and driving process improvements.

Atlassian is a global leader in team collaboration and productivity software, offering tools like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide to plan, track, and manage work. The company is dedicated to building innovative tools that drive the future of work and is seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph. The team also develops frameworks, models, and infrastructure to accelerate AI feature development across Atlassian. Atlassians can choose to work in an office, from home, or in a hybrid arrangement, and the company can hire in any country where it has a legal entity. In this role you will lead the development and implementation of cutting-edge ML algorithms and models powering AI capabilities, collaborate with product, engineering, and analytics teams, design system and model architectures, lead rigorous experiments and evaluations, provide technical mentorship, and help shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software with products like Jira, Confluence, Trello, Bitbucket, and Rovo used worldwide to plan, track, and manage work. The company is hiring a Principal Machine Learning Engineer for its Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph, plus the infrastructure to accelerate AI development. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The role involves leading the development and implementation of cutting-edge ML algorithms and models that power AI capabilities across Atlassian’s products, collaborating with product, engineering, and analytics teams to translate business needs into solutions. Responsibilities also include designing system and model architectures, conducting rigorous experimentation and evaluation, providing technical mentorship to ML engineers, and helping shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software, with Jira, Confluence, Trello, Bitbucket, and Rovo trusted by millions to plan, track, and manage work. They are seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to Atlassian’s Teamwork Graph. The team also develops the frameworks, models, and infrastructure that accelerate AI feature development across the company. Atlassian offers flexible work arrangements and hires in any country where they have a legal entity, giving teams control over office, remote, or hybrid work. The role will lead the development and implementation of cutting-edge ML algorithms and models, collaborate with product, engineering, and analytics teams, design architectures, drive rigorous experimentation, provide technical mentorship, and help shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software, with products like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide. They are seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, working on flagship AI products including agentic search and chat, long-horizon agents, and capabilities that enrich the Teamwork Graph, as well as frameworks, models, and infrastructure that accelerate AI feature development. Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity. In this role, you will lead the development and implementation of cutting-edge ML algorithms and sophisticated models powering AI capabilities across Atlassian’s products and services. You will collaborate with product, engineering, and analytics teams to translate business and customer needs into impactful solutions, design system and model architectures, lead rigorous experimentation and evaluation, provide technical mentorship to ML engineers, and help shape Atlassian's AI strategy.

Atlassian supports flexible work arrangements—employees can work in an office, from home, or a mix—and hires in any country where the company has a legal entity. In this role, you’ll be the Manager, Customer Success Architects (AI), leading a pod that drives adoption of Atlassian's AI platform, Rovo, and delivers real, measurable business value in production. You’ll hire, coach, and develop Customer Success Architects (AI), own pod-level operations, capacity planning, engagement quality, and adoption metrics, ensuring engagements progress from initial activation to outcomes. You’ll partner with Pre-Sales, Post-Sales, Product, and Engineering to deliver solutions, surface product friction, influence roadmap priorities, and help expand AI use cases across new markets, with collaboration across Account Teams, CSMs, and Sales leadership. On day one you’ll lead with people management and enablement, maintain playbooks and product updates, align pod capacity with pipeline, advocate cross-functionally, and travel up to 15% while complying with GDPR and EU AI Act requirements.

At Atlassian, you can work from an office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. In this role, you’ll lead a team of Customer Success Architects (AI) focused on adopting Atlassian’s AI platform, Rovo, ensuring engagements move from initial activation to real, measurable business value in production. You’ll hire, coach, and develop CSAs (AI), own pod-level capacity planning and delivery quality, monitor key metrics, and provide enablement materials and playbooks to support the team. You’ll partner with Pre-Sales, Post-Sales, Product, and Engineering, collaborate with account teams to prioritize engagements, surface product friction to influence roadmaps, and advocate for TAS in cross-functional forums while broadening AI adoption. Familiarity with GDPR and the EU AI Act is required, and travel up to 15% is expected for team events, customer meetings, and offsites.

Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance family, personal goals, and other priorities. The company is hiring a Senior Incident Response Analyst with strong technical skills in threat analysis and incident management to protect Atlassian’s corporate and cloud environments and safeguard data for Atlassian, its customers, and partners. Key responsibilities include acting as an escalation point for security incidents, investigating logs across multiple sources, conducting post-incident reviews, participating in on-call rotations, developing automated response capabilities, leading incidents, and performing threat hunting, forensics, playbook development, and tabletop exercises. Qualifications include 5+ years in a security domain, specialization in areas such as malware analysis or threat hunting, experience with AI-assisted tools, programming or scripting in languages like Python, Ruby, Java, or Go, cloud experience (AWS/GCP), project delivery, open-source contributions, and strong communication skills. The role sits within Atlassian’s Security Detection and Response organization, and the company values diverse skills, collaboration with development teams, and ongoing security improvements across products and engineering practices.

Atlassian supports flexible, location-agnostic work and hires globally where it has a legal entity. They are seeking a Senior Incident Response Analyst/Incident Responder with strong technical skills, threat analysis expertise, and a solid background in incident management to safeguard Atlassian's and customers' data and systems across corporate and cloud environments. The role involves leading security incidents, hunting for signs of compromise, developing and automating response strategies, and collaborating with cross-functional teams to enhance security posture, with day-to-day duties including escalation, log analysis, post-incident reviews, on-call duties, threat hunts, tooling and automation, playbooks, evidence collection, and tabletop exercises. Requirements include 5+ years in security, specialization in areas such as malware analysis/forensics/threat hunting/network analysis/cloud endpoint analysis, experience with AI-assisted tools, programming/scripting languages, cloud experience (AWS/GCP), project delivery, and strong communication, with contributions to the security community or open source a plus. The role sits within Atlassian's Security Detection and Response organization, a cross-disciplinary group spanning Incident Response, Detection Engineering, Threat Intelligence, and Security Engineering, which collaborates with development teams to improve product security and practices, with remote work options noted (#LI-Remote).

The Account Executive, Mid-Market (P50) is a senior, quota-carrying sales role in the Benelux region responsible for driving strategic revenue growth across a defined mid-market portfolio, owning the entire commercial process from outbound to close. At the P50 level, the role emphasizes moving beyond transactional selling to position Atlassian’s System of Work as a catalyst for long-term business transformation, using data-driven territory planning and executive-level engagements. Success is measured by quota attainment, executive engagement (a minimum of 3 executive briefings and 7 executive sales calls per fiscal year), and the ability to influence cross-functional teams to deliver a coordinated customer experience. The role includes Strategic Revenue Ownership, Advanced Territory & Account Planning, Executive Relationship Management, Consultative Value Selling, and Cross-Functional Leadership to orchestrate Solution Engineers, Channel Partners, Marketing, and Customer Success. Additional responsibilities cover CRM hygiene and MEDDPICC forecasting, contributions to sales playbooks, expansion into emerging Atlassian products, and mentorship of junior AEs/SDRs along with pursuing mandatory certifications.

The Account Executive, Mid-Market (P50) in the Benelux region is a senior, quota-carrying seller responsible for strategic revenue growth across a defined mid-market book, acting as the account team's quarterback from outbound pipeline generation to negotiation and close. The role requires moving beyond transactional selling to position Atlassian’s System of Work as a catalyst for long-term business transformation, supported by data-driven territory plans and engagement with C-level stakeholders through strategic briefings. Success is measured by quota attainment, executive engagement, and the ability to lead cross-functional teams to deliver a coordinated, high-impact customer experience. Key responsibilities include owning an annual ACV quota for new business and expansion, sophisticated territory planning, executive relationship management (minimum 3 executive briefings and 7 executive calls per fiscal year), consultative value selling with ROI/TCO models, cross-functional leadership, and driving strategic product expansion in areas like Jira Service Management and Atlassian Intelligence. The role also emphasizes operational and analytical excellence (CRM hygiene, MEDDPICC forecasting) and mentorship, including completing mandatory certifications and helping develop junior AEs/SDRs while sharing regional market insights.

The Account Executive, Mid-Market (P50) in Benelux is a senior, quota-carrying role responsible for driving strategic revenue growth across mid-market accounts and serving as the quarterback of the end-to-end sales process. At P50, the role moves beyond transactional selling to position Atlassian’s System of Work as a catalyst for long-term business transformation, using data-driven territory plans and strategic C-level engagements. Success is measured by quota attainment, executive engagement, and the ability to influence cross-functional teams to deliver a coordinated, high-impact customer experience. Core responsibilities include owning an annual ACV quota targeting new business and expansion, executing advanced territory planning, building and maintaining executive relationships (minimum 3 briefings and 7 executive calls per fiscal year), and employing ROI/TCO models in a discovery-led approach. The position also requires cross-functional leadership with Solution Engineers, channel partners, Marketing, and Customer Success; maintaining CRM hygiene and MEDDPICC forecasting; driving product expansion into areas like Jira Service Management and Atlassian Intelligence; and mentoring junior AEs/SDRs.

- Atlassian offers flexible work options, allowing you to work from home or any global office, and it hires in any country where it has a legal entity. - The Grad++ program blends hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to help students launch successful careers at Atlassian. - This role is located in Seattle, WA, and is not eligible for F1/J1 visas or any work sponsorship. - You will build production-ready features by developing scalable code for Jira, Confluence, and Trello used by millions, contributing to reliable systems powering global collaboration. - You’ll own end-to-end projects from design through deployment, collaborate in Agile teams, and innovate with AI/ML technologies to solve complex distributed systems and data processing problems using data-driven insights.

Zendesk is seeking a seasoned Sales Leader to run Commercial and Enterprise sales for the Greater China region (Mainland China, Hong Kong, Taiwan), based in Singapore and reporting to the RVP, Asia Sales. The role entails leading and mentoring the GCR teams, developing go-to-market strategies for Enterprise and Commercial segments, building trusted relationships with senior stakeholders, collaborating with marketing, product, customer success and channel partners, and owning pipeline management, forecasting, and deal progression with a data-driven approach using Salesforce. You will hire, develop, and retain top sales talent, navigate the GCR market with cultural sensitivity and regulatory compliance, and serve as the voice of the customer to inform product and service improvements. Requirements include 12+ years in Commercial/Enterprise sales with a sustained quota achievement, Mandarin fluency (Cantonese a plus), leadership of China-to-Global CX/CRM/AI market teams, proven revenue growth in complex environments, and strong analytical and stakeholder-influencing skills plus experience with direct and channel sales. Zendesk emphasizes hybrid work, global diversity and inclusion, and equal opportunity employment; it may use AI in screening, and provides accommodations for applicants with disabilities upon request.

Zendesk is hiring a Senior Software Engineer for the Employee Services organization in Krakow to tackle cross-organizational challenges, emphasizing clear communication, deep problem understanding, and collaboration. The role involves joining a self-organizing frontend team delivering core functionality for Employee Service products, with possible Ruby backend work, contributing through all software lifecycle stages, owning features and bugs, and participating in prototyping, code reviews, rapid deployments, and on-call support. Candidates should have a strong React/JavaScript frontend background, good communication and collaboration skills, willingness to own their work, flexibility to work across the stack, a growth mindset, and openness to GenAI and modern tooling. The Krakow office is hybrid with in-person requirements about 2 days per week, and the salary range is zł257,000 to zł385,000, with actual compensation determined by experience and capabilities and potential bonuses or benefits. Zendesk emphasizes fairness and inclusion, may use AI in screening, is an equal opportunity employer, provides accommodations for applicants with disabilities, and offers a contact email for accommodation requests.

Zendesk is seeking an Account Executive in Milan with a proven B2B sales track record, preferably with AI-sales experience, to grow the business and deepen Zendesk’s impact with customers. The role focuses on driving top-line revenue by acquiring new Italian customers, penetrating top-tier accounts, and cross-selling additional products to existing clients. You’ll manage key relationships, leverage data insights and adoption history, develop quarterly territory plans, and lead complex, value-centric sales cycles with proof-of-concept stages. Requirements include a BA/BS (or equivalent), 4+ years in cloud/software B2B/AI sales with a history of exceeding quotas, experience selling to C-level executives, strong negotiation and closing skills, familiarity with Salesforce/Outreach/Clari/Seismic/Looker, the ability to travel, and fluency in Italian and English. Zendesk emphasizes a hybrid, inclusive culture with equal opportunity employment, AI screening of applications, and accommodations for applicants with disabilities.

The role is a regional Expert Services Consulting leader at Zendesk (Austin and Madison) reporting to Bethany Neubauer, tasked with building and scaling a high-performing team that consistently delivers predictable, high-quality outcomes and accelerates customer adoption and value realization. You’ll establish operating rhythms, staffing discipline, and delivery standards, ensure engagements are staffed and delivered on time and within scope, and monitor utilization, capacity, and KPIs to surface risks and drive remediation that protects retention and expansion across ongoing services packages. You’ll partner cross-functionally to drive customer adoption, expansion, and retention, and you’ll innovate scalable delivery motions, embed continuous improvement, and coach the team through change using data- and AI-enabled tools to turn insights into measurable business impact. Basic qualifications include 7+ years in professional services/enterprise SaaS, 2+ years of people management, proven ability to manage multiple concurrent engagements, and strong analytical and communication skills; preferred qualifications include Zendesk Admin experience, AI tool experience, and advanced degrees, with US OTE of $160,000–$240,000 and a 91/9 base/commission mix and potential bonuses. Zendesk emphasizes a fulfilling, inclusive culture with a hybrid work model and equal opportunity employer policies, and notes that AI screening and accommodations may be used in the hiring process to support applicants.

The role is Senior Staff Engineer on Zendesk's Enterprise Data & Analytics team, leading the architecture and engineering of an AI-ready enterprise semantic data platform that unifies analytics, applications, and AI on trusted foundational data models. You will define the enterprise semantic architecture (metrics, dimensions, entities, relationships, grain, time semantics, and business context), establish reusable semantic contracts, evaluate long-term platform options (Snowflake Semantic Views, dbt Semantic Layer/MetricFlow, Cube), design metadata-driven capabilities, and guide conversational analytics and golden datasets while leading multi-team initiatives from PoC to production. You will mentor engineers, influence build-versus-buy decisions, and treat the platform as an internal product to improve adoption, documentation, onboarding, and migration from duplicate implementations. Basic qualifications include 10+ years in data engineering/architecture with at least 3+ years hands-on semantic layer experience, deep expertise with Snowflake/Databricks and dbt, strong SQL and programming skills, and excellent communication for collaboration across executives, architects, engineers, analysts, data scientists, and business stakeholders. Preferred experience includes Snowflake Semantic Views, dbt MetricFlow, Cube, LookML/Looker, or similar semantic platforms, plus familiarity with text-to-SQL, agent evaluation, deterministic vs probabilistic metric boundaries, and evaluating vendors or open-source platforms for adoption roadmaps; the data stack includes Snowflake, Kafka, Tableau/Looker, AWS, Kubernetes, Terraform, and CI/CD tooling, with a US base salary range of $200k–$300k and potential bonuses, while Zendesk supports hybrid work, diversity and inclusion, and reasonable accommodations.

The Professional Services organization at Miro helps Enterprise customers achieve exceptional outcomes through the Innovation Workspace, with strategic advisors, onboarding experts, and technical account managers collaborating to transform collaboration, innovation, and AI-enabled workflows on Miro’s platform. The Technical Account Manager (TAM) acts as a fractional strategic advisor for Enterprise customers, guiding AI-powered workflow optimization and embedding Miro into customers’ innovation operating models to enable Discover, Define, and Deliver. Responsibilities include designing and evolving AI-driven workflows, architecting integration and automation using Miro’s API, WebSDK, and MCP, providing proactive optimization, change management and scaling support, and co-facilitating quarterly business reviews with adoption analytics. Requirements include 5+ years in enterprise SaaS or related roles, strong technical fluency with APIs and IT ecosystems, experience with AI and change management, and willingness to travel up to 25%; the engagement model is fractional, supporting up to three enterprise customers at 33/50/100% dedication, focused on strategic advisory rather than hands-on development or training. Miro offers benefits such as equity, wellbeing support, a WFH equipment allowance, an L&D stipend, and a diverse, collaborative culture, emphasizing belonging and inclusion as part of a global organization with a substantial user base.

The Professional Services organization at Miro helps Enterprise customers achieve exceptional outcomes through the Innovation Workspace by pairing strategic advisors, onboarding experts, and technical account managers to transform collaboration and innovation with agentic AI. The Technical Account Manager (TAM) role is to partner with Enterprise customers as a fractional strategic advisor who guides workflow optimization, drives AI-powered adoption, and embeds Miro into customers’ innovation operating models to support Discover, Define, and Deliver. Responsibilities include designing and evolving AI-driven workflows across the Discover–Define–Deliver lifecycle, recommending integration and automation using Miro’s API, WebSDK, and MCP, guiding embedding into customers’ systems, proactively optimizing platform health and adoption, enabling change management and CoE support, and co-facilitating QBRs with adoption analytics. Requirements include 5+ years in enterprise SaaS-related roles, strong technical fluency with APIs and integrations, experience leading workflow optimization and large-scale change, familiarity with AI and agentic workflows (low/no-code tools a plus), data-driven analytics and executive facilitation, up to 25% travel, and a fractional engagement model supporting up to three customers at 33/50/100% dedication focusing on strategic advisory rather than training or development. You’ll love working here for the opportunity to shape AI-powered collaboration at leading companies, join a collaborative, fast-paced team, and access global benefits (equity, wellbeing, equipment allowance, L&D stipend), while Miro emphasizes belonging, diversity, and an inclusive culture and provides information on recruitment privacy.

The Professional Services team at Miro helps Enterprise customers achieve exceptional outcomes in the Innovation Workspace through strategic advisors, onboarding experts, and technical account managers, powered by agentic AI and the platform. The Technical Account Manager (TAM) role partners with Enterprise customers as a fractional strategic advisor to maximize business value, guiding AI-driven workflow optimization and embedding Miro into customers’ innovation operating models. Key responsibilities include designing AI-driven workflows across Discover–Define–Deliver, recommending integration and automation via Miro’s API, WebSDK, and MCP, and providing proactive optimization, change management, and governance support to scale adoption. Candidates need 5+ years in enterprise SaaS consulting or TAM roles, strong technical fluency with APIs and IT ecosystems, experience with AI adoption and agentic workflows, familiarity with MCP and low/no-code tools, and willingness to travel up to 25%. The engagement model is fractional (supporting up to three enterprise customers) with strategic advisory focus (not technical support or custom development), complemented by a collaborative, diverse culture and competitive benefits as part of Miro’s mission to empower teams to create the next big thing.

The Professional Services team at Miro helps Enterprise customers achieve exceptional outcomes through the Innovation Workspace by pairing strategic advisors, onboarding experts, and technical account managers to transform collaboration and innovation with agentic AI. The Technical Account Manager (TAM) role partners with Enterprise customers as a fractional strategic advisor to guide workflow optimization, drive AI-powered adoption, and embed Miro into their innovation operating models. You’ll design and evolve AI-driven workflows across the Discover–Define–Deliver lifecycle, recommend integration strategies using Miro’s API, WebSDK, and MCP, and guide embedding Miro into existing systems and workflows. You’ll monitor platform health, usage, and adoption; deliver proactive optimization and governance guidance; and support scaling and Centers of Excellence while co-facilitating quarterly business reviews to align with business goals. Qualifications include 5+ years in enterprise SaaS roles, strong technical fluency with APIs and ecosystems, experience with AI and change management, and willingness to travel up to 25%; the engagement model is fractional (up to three enterprise customers at 33%, 50%, or 100% dedication) focusing on strategic advisory rather than direct development, with a culture emphasizing diversity, belonging, benefits, and growth opportunities.

The Professional Services team at Miro helps Enterprise customers maximize value from the Innovation Workspace, with Technical Account Managers acting as fractional strategic advisors to guide AI-driven adoption and embed Miro into customers’ innovation operating models. TAMs design and evolve AI-driven workflows across the Discover–Define–Deliver lifecycle, architect integrations using Miro’s API, WebSDK, and MCP, and provide guidance on embedding Miro into existing systems while driving adoption. They also handle proactive platform optimization, governance and change management to scale adoption across departments and CoEs, and co-facilitate Quarterly Business Reviews with Customer Success Managers to align on business outcomes. Candidates need 5+ years in enterprise SaaS-related roles, strong API/integration fluency, experience with workflow optimization and large-scale change management, familiarity with AI and agentic workflows (MCP and low/no-code tools a plus), and willingness to travel up to 25%. The engagement model is fractional, supporting up to three enterprise customers at 33%, 50%, or 100% dedication, with a focus on strategic advisory rather than technical support or custom development, plus a collaborative, diverse culture and a benefits package that includes equity and professional development opportunities.

The Professional Services team at Miro helps Enterprise customers achieve exceptional outcomes in the Innovation Workspace by pairing strategic advisors, onboarding experts, and technical account managers to transform collaboration and innovation, powered by agentic AI and Miro’s platform. The Technical Account Manager (TAM) is a fractional strategic advisor who partners with Enterprise customers to maximize business value by guiding AI-powered adoption, workflow optimization, and embedding Miro into their innovation operating models. Key responsibilities include designing and evolving AI-driven workflows across the Discover–Define–Deliver lifecycle, architecting integration strategies with Miro’s API, WebSDK, and MCP, and providing guidance on embedding Miro into existing systems, along with proactive optimization, governance support, Centers of Excellence enablement, and quarterly business review-driven strategic alignment. Requirements include 5+ years in enterprise SaaS-related roles, strong technical fluency with APIs and IT ecosystems, experience with workflow optimization and change management, familiarity with AI/prompt engineering and agentic workflows, plus MCP or low/no-code tooling as a plus, and up to 25% travel. The engagement model uses a Fractional Engagement approach supporting up to three enterprise customers at 33/50/100% dedication with a strategic advisory focus (not training or custom development), and Miro offers equity, wellbeing benefits, a WFH equipment allowance, and an annual Learning & Development stipend within a diverse, collaborative culture.

The Professional Services team at Miro helps Enterprise customers achieve outcomes in the Innovation Workspace by pairing strategic advisors, onboarding experts, and technical account managers who leverage agentic AI and the platform. The Technical Account Manager (TAM) role is to partner with Enterprise customers as a fractional strategic advisor, guiding workflow optimization, AI-powered adoption, and embedding Miro into customers’ innovation operating models to help Discover, Define, and Deliver new products and services. Responsibilities include designing and evolving AI-driven workflows across the Discover–Define–Deliver lifecycle, architecting integrations using Miro’s API, WebSDK, and MCP, embedding Miro into existing systems, and driving proactive optimization, adoption, and governance at scale. Requirements include 5+ years in enterprise SaaS-related roles, strong technical fluency with APIs and IT ecosystems, experience with AI and agentic workflows, excellence in change management and executive facilitation, and willingness to travel up to 25%. The engagement model is fractional (supporting up to three enterprise customers at 33/50/100% dedication) with a focus on strategic advisory rather than training or custom development, plus benefits and a culture centered on diversity, belonging, and growth at Miro.

The Professional Services team at Miro helps Enterprise customers achieve exceptional outcomes through the Innovation Workspace, with Technical Account Managers acting as fractional strategic advisors to maximize business value and embed AI-powered collaboration. As a TAM, you guide customers through AI-driven workflows in the Discover–Define–Deliver lifecycle, architect integration strategies using Miro’s API, WebSDK, and MCP, and help embed Miro into existing systems and ways of working. You’ll monitor platform health, usage patterns, and feature adoption, deliver proactive recommendations to deepen AI capabilities, lead change management to scale adoption across departments, and co-facilitate QBRs to align with business goals. Requirements include 5+ years in enterprise SaaS consulting or TAM roles, strong technical fluency with APIs and integrations, experience with workflow optimization and large-scale change, familiarity with AI/prompt engineering and MCP/low-code tooling as a plus, and willingness to travel up to 25%. The engagement model is fractional, supporting up to three enterprise customers at 33/50/100% dedication, with a strategic advisory focus rather than technical support or custom development, and the role offers benefits like equity, wellbeing, a learning stipend, and a diverse, mission-driven culture at Miro.

The Professional Services team at Miro helps Enterprise customers achieve exceptional outcomes through the Innovation Workspace by pairing strategic advisors, onboarding experts, and technical account managers to transform collaboration, build, and innovate with agentic AI and Miro’s platform. The Technical Account Manager (TAM) role partners with Enterprise customers as a fractional strategic advisor to guide workflow optimization, drive AI-powered adoption, and embed Miro into customers’ innovation operating models across the Discover–Define–Deliver lifecycle. Responsibilities include designing and evolving AI-driven workflows using Miro’s API, WebSDK, and MCP; recommending and architecting integration and automation opportunities; providing guidance on embedding Miro into existing systems; monitoring platform health and adoption; and supporting change management and scaling with Centers of Excellence and executive reviews. Requirements include 5+ years in enterprise SaaS-related roles, strong technical fluency with APIs and integrations, experience with AI/agentic workflows, data-informed decision making, facilitation of executive-level discussions, and willingness to travel up to 25%. The engagement model is fractional—supporting up to three enterprise customers at 33%, 50%, or 100% dedication—with TAMs focusing on strategic vision and workflow optimization rather than technical support or custom development, within a culture that emphasizes collaboration, growth, and a diverse, mission-driven environment with global benefits.

The Professional Services organization at Miro helps Enterprise customers achieve exceptional outcomes through the Innovation Workspace, with strategic advisors, onboarding experts, and technical account managers collaborating to transform collaboration, build, and innovate using agentic AI on Miro’s platform. We’re seeking a Technical Account Manager (TAM) to partner with Enterprise customers as a fractional strategic advisor, guiding workflow optimization, AI-powered adoption, and embedding Miro into their innovation operating models to help Discover, Define, and Deliver new products and services. You’ll design and evolve AI-driven workflows across the Discover–Define–Deliver lifecycle, architect integration strategies using Miro’s API, WebSDK, and MCP, guide embedding into existing systems, and provide proactive optimization and adoption insights, plus change management and scaling across departments, regions, and Centers of Excellence with quarterly business reviews. Requirements include 5+ years in enterprise SaaS roles, strong technical fluency with APIs and IT ecosystems, proven ability to drive workflow optimization and large-scale change management, experience with AI and agentic workflows (MCP and low/no code a plus), and willingness to travel up to 25%. The engagement model is fractional, supporting up to three enterprise customers at 33/50/100% dedication, focused on strategic advisory rather than technical support or custom development, and Miro emphasizes a diverse, collaborative culture with growth opportunities and a broad benefits package.

Atlassian offers flexible work locations—office, home, or a mix—along with a distributed-first approach that conducts interviews and onboarding virtually, and hires in any country where they have a legal entity. The Senior Principal Forward Deployed Engineer role places you at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and help shape the future of AI-powered teamwork. You’ll code across the Atlassian product suite, lead the design, development, and deployment of AI/ML solutions using Rovo tailored to customer needs, and build robust integrations with Python, JavaScript, APIs, and enterprise-scale systems while influencing product direction. The role also involves championing AI-augmented workflow automation, overseeing end-to-end deployments with monitoring, navigating AI risk and data privacy/regulatory requirements, mentoring engineers, and communicating complex concepts to technical and non-technical stakeholders while aligning solutions with business objectives. Compensation is designed to be equitable and competitive, with base pay within a range and potential eligibility for benefits, bonuses, commissions, and equity, following consistent hiring practices.

At Atlassian, you can work flexibly (office, home, or hybrid) and the company hires globally where it has a legal entity, with virtual interviews and onboarding as part of being distributed-first. The Senior Principal Forward Deployed Engineer role places you at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver innovative AI-powered solutions with high visibility and impact. Responsibilities include coding across Atlassian’s product suite, leading the design/development/deployment of AI/ML solutions using Rovo, and building robust API/microservice integrations with Python or JavaScript for enterprise-scale systems. The role also involves influencing product direction through customer collaboration, championing AI-augmented workflow automation, overseeing end-to-end deployment with ongoing evaluation, and navigating AI risk and data privacy/regulatory requirements. You’ll mentor engineers, communicate complex concepts to technical and non-technical stakeholders, align technical work with business objectives, and receive equitable compensation with base pay in a range plus benefits, bonuses, commissions, and equity.

At Atlassian, you can work in an office, from home, or a mix of both, and the company hires people in any country where it has a legal entity. You’ll join the Rovo Chat Quality team within the Rovo + AI organization, aiming to turn Rovo’s reach into lasting customer value and to drive trust and adoption of AI-powered experiences. You’ll architect and build production ML and evaluation systems at scale—datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals—and advance Rovo’s agentic capabilities in reasoning, planning, tool use, retrieval, memory, and long-horizon execution. You’ll close the loop between evaluation and product impact by identifying systemic failures, deploying interventions, and measuring outcomes, while making high-leverage decisions on model choice, prompting, data strategy, architecture, latency, safety, and cost, and you’ll lead cross-functional initiatives and establish reusable methods and standards. The ideal candidate has a track record shipping large-scale ML/AI systems with measurable customer and business impact, deep experience with LLM-powered products and agentic systems, strong production engineering skills, and proven technical leadership and communication abilities.

Atlassian offers flexible work locations—office, home, or a hybrid approach—and hires in any country where they have a legal entity. You’ll join the Rovo Chat Quality team within the Rovo + AI organization, focused on turning “make Rovo better” into measurable customer value by building evaluation systems, datasets, quality signals, and production ML capabilities. As a Senior Machine Learning Engineer, you’ll tackle open-ended technical problems, stay hands-on while setting direction across teams, and architect and build production ML and evaluation systems at scale, advancing Rovo’s agentic capabilities. You’ll close the loop between evaluation and product impact—identifying systemic failure modes, shipping interventions, and assessing whether they improve customer outcomes—while making high-leverage decisions about models, prompting, data strategy, architecture, latency, safety, and cost, and leading cross-organizational initiatives to standardize quality. The ideal candidate has a track record shipping large-scale ML/AI systems, experience with LLM-powered products and agentic systems, strong production engineering and technical leadership skills, and the ability to communicate clearly and mentor others.

Atlassian offers flexible work arrangements (office, remote, or hybrid), but this role requires you to be located in France, enabling support for family and personal goals. The company serves over 300,000 customers worldwide and aims to unleash every team’s potential through powerful software, driving customer impact and ongoing revenue growth, while fostering a culture of teamwork and shared success. Atlassian is leading responsible AI integration into cloud products, migrating customers to the cloud with cost transparency, faster collaboration, and accelerated business outcomes. The role involves steering a powerful sales strategy for a high-value, strategic customer base, understanding their long-term business goals, and crafting customized growth plans. You will develop and implement strategic sales and account plans, build relationships with key decision-makers and C-level executives, streamline processes with internal teams, lead negotiations, conduct market research, stay informed on industry trends, and provide performance updates to senior management, including travel and industry-event participation.

- Atlassian supports flexible work arrangements, letting employees choose to work from an office, from home, or a hybrid to better support family, personal goals, and other priorities. - The role requires you to be located in France and focuses on serving Atlassian’s global customer base of over 300,000. - Atlassian aims to unleash the potential of every team through its software, delivering exceptional customer impact and ongoing revenue growth, and it emphasizes a culture where employees work with Atlassian, not for Atlassian. - The company is leading the responsible integration of AI into its cloud products to migrate customers to the cloud, building trust through cost transparency, faster collaboration, and stronger business outcomes. - The role involves developing strategic sales and account plans for high-value customers, understanding their long-term objectives, positioning tailored solutions, coordinating with internal teams and partners, leading complex negotiations, staying informed on market trends, and engaging clients through travel and industry events.

The role is Principal Data Scientist at Atlassian, partnering with business leads to tackle high-impact analytics, strategy, and operations and turning data into compelling visualizations for leadership decisions. Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country where the company has a legal entity. The position collaborates with cross-functional teams to apply quantitative analysis, experimentation, and data storytelling to develop strategies and address the business's biggest challenges. Responsibilities include developing hypotheses using multiple analytical approaches, testing opportunities, and forecasting and monitoring key product metrics to influence roadmaps and product development. The role emphasizes communicating insights through storytelling to leadership and ensuring the built products deliver value to people, businesses, and Atlassian.

The role is Principal Data Scientist, partnering with business leads to tackle high-impact analytics, strategy, and operations projects and to make foundational contributions. You will collaborate with cross-functional teams and use quantitative analysis, experimentation, and data visualization to develop strategies and solve the business's biggest challenges. You will develop hypotheses using multiple analytical approaches to test opportunities, aiming to improve products and influence roadmaps through insights and recommendations. You will forecast and monitor key product metrics to measure success, shape product development, quantify new opportunities, identify upcoming challenges, and ensure value for people, businesses, and Atlassian, while communicating insights through storytelling to leadership. Atlassian supports flexible work arrangements (office, home, or hybrid) with hiring in any country where a legal entity exists, and you will become a trusted strategic partner through structured work and collaboration across teams.

Atlassian offers flexible, distributed work options and hires globally with virtual interviews and onboarding. The Mid-Market Manager India role (based in India, with remote work or Bengaluru office) leads a team focused on acquiring and managing mid-market customers in the Asia region. Responsibilities include developing market penetration plans, elevating the Atlassian brand through executive engagement, analyzing data and trends, managing key client relationships, mentoring the sales team, recruiting, collaborating cross-functionally, and reporting to senior management. Candidates should have sales experience in India as both an individual contributor and a manager, plus experience building sales strategies for multiple countries/regions, understanding APAC cultural nuances, knowledge of Atlassian solutions in India, and a proven track record of meeting targets and generating pipelines. They should be proficient with CRM, pipeline management, and analytics tools, motivated to coach and mentor, and eager to challenge traditional sales models in a fast-paced international environment.

Atlassian offers flexible work locations—office, home, or hybrid—and hires globally where it has a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. The Mid-Market Manager India role is based in India (remote or Bengaluru office) and leads a team dedicated to acquiring and managing mid-market customers in the India region, developing strategies tailored to mid-market needs. Responsibilities include leading the mid-market sales team, expanding market share in the Asia-focused mid-market segment, elevating the Atlassian brand through executive engagement and events, analyzing data and market trends, managing key client relationships and negotiations, mentoring the team, setting performance goals, recruiting, and collaborating with cross-functional teams. The candidate should have experience in sales as both an individual contributor and a manager with India-based customers, plus experience building multi-country sales strategies that account for regional economic differences and APAC cultural nuances. A strong track record in hitting targets and pipeline goals, knowledge of solution selling and CRM/analytics tools, and a proactive, innovative approach to coaching and optimizing sales processes in a fast-paced international environment is desired.

Atlassian aims to unleash the potential of every team by revolutionizing software development, serving global customers like Williams Racing, NASA, Nike, Pixar, and Tesla, and maintaining a culture focused on customer success. The Enterprise Account Executive will build and implement territory and named account plans to grow adoption across Atlassian’s portfolio with large enterprise customers, particularly in India, while championing customer needs and uncovering additional value. They will own the account end-to-end and coordinate with Solution Engineering, Sales Development, Customer Success, Channel Partners, Product Specialists, and Marketing to deliver a seamless customer experience and effective sales strategies. The role requires strong collaboration with Technical Account Managers to drive outcomes, regular 1:1s and executive engagements, roundtables and events, and educating customers on Atlassian’s Cloud-based System of Work (AI, Scaled Agile, Enterprise Service Management, Work Management, DevOps). They are expected to consistently exceed quotas through teamwork and open collaboration, helping Atlassian continuously improve its ability to serve customers.

Atlassian aims to unleash the potential of every team by revolutionising software development, helping customers like Williams Racing, NASA, Nike, Pixar and Tesla advance humanity, and building a multi-billion-dollar business with over 300,000 paying customers and millions of users worldwide. The culture is open, welcoming, collaborative, and customer-focused, and the Enterprise Account Executive will build and implement a territory strategy to drive growth and adoption of Atlassian’s solutions with the largest enterprise customers in India, coordinating with Channel Partners, Product Specialists, and Marketing to position value and strengthen relationships. The role requires a consultative, solution-oriented, strategic thinker who can prioritise resources to meet customer needs and act as a champion for customers. Responsibilities include developing territory and named account plans to maximise expansion opportunities, maintaining full account ownership while coordinating with Solution Engineering, Sales Development, and Customer Success to ensure a seamless customer experience, and working with the Atlassian Channel team and external Partners to execute effective sales strategies for named accounts. You will engage customers through regular 1:1s, 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), collaborate with Technical Account Managers on technical initiatives to drive business outcomes, and consistently exceed quotas while exemplifying open collaboration to improve service.

The Strategic Account Director will own 3–5 of Adaptavist’s most strategically important global enterprise customers, responsible for multi-year growth strategies, executive relationships, and positioning Adaptavist as a long-term transformation partner, orchestrating cross-functional virtual teams to expand wallet share and sustainable account growth. They will lead and coordinate virtual teams across Sales, Presales, Delivery, Customer Success and partners to identify whitespace opportunities, generate pipeline, and perform value-based selling aligned to measurable business outcomes. They will develop customer-centric points of view, conduct structured discovery to uncover problems and drivers, build compelling business cases and value realization plans anchored in outcomes (e.g., Developer Experience, Toolchain Modernisation, AI Adoption, Compliance and Change Assurance, Cloud Migration), and apply MEDDPICC to qualify and progress opportunities. They will manage stakeholder relationships by enabling direct access to Economic Buyers and C-suite sponsors, building multi-threaded relationships across technology and business leadership, mobilizing internal champions, and navigating complex organizational structures and influencer networks. They will lead partner ecosystem initiatives with joint account strategies and co-sell, ensure operating rhythm and commercial excellence through CRM hygiene, forecast accuracy, quarterly reviews, governance, margin discipline, and involvement in QBRs, deal inspections and sales excellence initiatives.

The Strategic Account Director owns a portfolio of 3–5 of Adaptavist’s most strategically important enterprise customers—typically global organisations with the potential to generate more than £1m in annual gross margin—and is responsible for multi‑year growth strategies, deepening executive relationships, and positioning Adaptavist as a long‑term transformation partner, orchestrating virtual teams across Sales, Presales, Delivery, Customer Success and strategic partners to drive wallet share expansion and sustainable account growth. They will own and execute multi‑year growth plans across a portfolio of complex enterprise accounts, build executive‑level relationships across customer organisations, and lead and coordinate virtual strategic account managers and supporting teams across Sales, Presales, Delivery and Customer Success to identify whitespace opportunities and generate pipeline through value‑based selling. They will develop customer‑centric points of view that connect Adaptavist capabilities to measurable business outcomes, lead structured discovery to uncover problems and stakeholder motivations, build compelling business cases and value realization plans anchored in outcomes across Developer Experience, Toolchain Modernisation, AI Adoption, Compliance and Change Assurance, and Cloud Migration, and apply MEDDPICC to qualify, inspect and progress opportunities. They will establish direct access to Economic Buyers and C‑suite sponsors, build multi‑threaded relationships spanning technology and business leadership, identify and mobilise internal champions, navigate complex organisational structures, and partner with strategic allies to develop joint account strategies, execute partner‑involved deals with co‑sell structures and margin management, and position Adaptavist as the preferred services and transformation partner within shared accounts. They will maintain operating rhythm and commercial excellence by keeping CRM hygiene and forecast accuracy, leading quarterly account reviews and strategic planning sessions, driving commercial governance, deal quality and margin discipline through complex negotiations, and contributing to QBRs, deal inspections and sales‑excellence initiatives.

The Sales Specialist – DevOps & Developer Experience helps customers modernise how software is planned, built, secured, deployed and operated across UK/I, acting as a specialist advisor in Developer Experience, Platform Engineering, DevSecOps, Cloud Native Engineering, Observability and AI-enabled software delivery, and works with Strategic Account Managers and partner teams to identify opportunities and lead complex specialist engagements. They create and develop a specialist sales pipeline aligned to DevOps and software delivery transformation, identifying opportunities across relevant domains, developing customer-specific hypotheses and roadmaps tied to strategic business outcomes, and building territory plans and joint go-to-market activities. In Customer Advisory & Transformation Consulting, they engage with CIOs/CTOs and other executives to understand priorities, lead discovery and maturity assessments, analyze operating models and bottlenecks, and develop business cases and transformation roadmaps that support decision-making. In Opportunity Leadership & Sales Execution, they own opportunities through qualification to closure using MEDDPICC, lead complex multi-stakeholder engagements, craft commercial proposals and value-based business cases, coordinate internal resources and negotiate to close deals. They also cultivate Partner Ecosystem relationships with key players (e.g., Atlassian, GitLab, Harness, AWS, Datadog, IBM, Red Hat) to drive co-sell motions and joint campaigns, while driving thought leadership and market presence through insights, events and industry engagement to position Adaptavist as a leader in DevOps and software engineering transformation.

The role centers on helping customers transform how work is coordinated, how services are delivered, and how organizations scale, acting as a specialist advisor in Enterprise Service Management, Work Management, workflow automation, AI-enabled operations, and Atlassian Cloud transformation. The Sales Specialist collaborates with Strategic Account Managers and partner teams to identify opportunities, shape transformation programs, and lead complex engagements, earning trust as a trusted advisor in service and operational transformation. In pipeline generation and market development, they create a specialist sales pipeline across ITSM/ESM, Work Management, Workflow Automation, AI-assisted Operations, Atlassian Cloud transformation, and business process optimization, developing customer-specific hypotheses and account plans. They engage with CIOs and other executives, run discovery workshops and maturity assessments, analyze operating models to uncover improvements, and develop business cases and transformation roadmaps to support decision-making. For opportunity leadership and sales execution, they apply MEDDPICC, manage complex sales engagements, coordinate internal resources, negotiate contracts, and build compelling proposals, while also developing partner ecosystems and maintaining thought leadership through events, webinars, and market insights.

The Sales Specialist – DevOps & Developer Experience role in the DACH region helps customers modernize how software is planned, built, secured, deployed and operated, acting as a trusted advisor in Developer Experience, Platform Engineering, DevSecOps, Cloud Native Engineering, Observability and AI-enabled software delivery to deliver measurable business outcomes. Specialist Pipeline Generation & Market Development: build and pursue a specialist sales pipeline aligned to DevOps and software delivery transformation, identifying opportunities across Developer Experience, Platform Engineering, DevSecOps, Cloud Native Engineering, Observability and AI-assisted software delivery and software supply chain security, developing customer-specific hypotheses and account plans, and generating opportunities through executive workshops and partnerships. Customer Advisory & Transformation Consulting: engage with CIOs/CTOs and other executives to understand priorities, lead discovery, engineering and maturity assessments, analyze operating models and bottlenecks, and develop business cases and transformation roadmaps that enable improved delivery and decision-making. Opportunity Leadership & Sales Execution: own opportunities end-to-end, apply MEDDPICC for qualification, lead complex engagements, build commercial proposals and value-based business cases, and coordinate internal resources to close deals and achieve outcomes. Partner Ecosystem Development & Thought Leadership: develop relationships with strategic partners (Atlassian, GitLab, Harness, AWS, Datadog, IBM, Red Hat) to drive co-sell and joint go-to-market, position Adaptavist as the preferred partner, and contribute market-facing insights, content, events and thought leadership.

The Strategic Account Director owns a portfolio of 3–5 of Adaptavist’s most strategically important enterprise customers, typically global organisations with potential >£1m in annual gross margin, and is accountable for multi-year growth strategies while orchestrating virtual teams across Sales, Presales, Delivery, Customer Success and partners to drive wallet share and sustainable account growth. They lead strategic account leadership by building executive-level relationships, pursuing whitespace opportunities across business units and geographies, and generating pipeline through executive engagement, account-based selling and partner collaboration, while developing value-based, customer-centric points of view tied to measurable outcomes. They oversee structured discovery to uncover business problems and stakeholders’ motivations, develop compelling business cases and value realization plans anchored in outcomes such as Developer Experience, Toolchain Modernisation, AI Adoption, Compliance and Change Assurance, and Cloud Migration, applying MEDDPICC to qualify and progress opportunities. They establish and champion access to Economic Buyers and C-suite sponsors, build multi-threaded relationships across technology and business leadership, identify internal champions, navigate complex organizational structures and influencer networks, and lead partner ecosystem efforts with co-sell structures and margin management. They maintain operating rhythm and commercial excellence through CRM hygiene, forecast accuracy, quarterly account reviews and strategic planning, drive governance and margin discipline in complex negotiations, and contribute to QBRs, deal inspections and sales excellence initiatives.

The Head of UK Sales will lead the UK sales territory to deliver accelerated, profitable growth and build a high-performing regional commercial organisation across Strategic, Enterprise, and Mid-Market segments. They will operationalise Adaptavist's two selling motions—DevOps & Developer Experience and Service & Work Management—aligning sellers, Presales, Marketing, Partnerships, Delivery, and Finance around priority accounts, repeatable propositions, and measurable customer outcomes. The role includes defining and executing the UK GTM strategy, translating global priorities into an annual territory plan and a 2-3-year growth outlook, segmenting the market, and setting regional priorities, rhythms, and performance expectations. They will implement a disciplined account coverage model, structured strategic account planning, and MEDDPICC-based qualification and governance, building robust pipeline and rigorous forecasting while coordinating with global strategic-account programmes. They will lead partner and ecostems engagement with key tech partners, drive cross-functional collaboration with Marketing, Presales, Delivery, Finance/RevOps, and focus on talent development, onboarding, and a consistent operating rhythm to represent the UK sales organisation at executive level and contribute to global strategy.

The Head of DACH Sales will lead the DACH sales territory, accountable for delivering accelerated, profitable growth and building a high‑performing regional commercial organisation across the Strategic, Enterprise, and Mid‑Market segments, while operationalising Adaptavist's two selling motions—DevOps & Developer Experience and Service & Work Management—through cross‑functional alignment. They will define and execute the DACH go‑to‑market strategy, translate global priorities into an annual territory plan and a 2–3‑year growth outlook, identify whitespace, prioritise investment, and set regional priorities, rhythms, and performance expectations for revenue, gross margin, pipeline, forecast and sales productivity. They will build a disciplined account coverage model for Strategic, Enterprise and Mid‑Market customers, establish structured strategic account planning with executive sponsorship and expansion plans, and coordinate DACH activity within global strategic‑account programmes while embedding MEDDPICC as the common qualification and deal‑governance language. They will lead local executive engagement with priority technology partners (e.g., Atlassian, GitLab, Harness, AWS, Datadog), build joint territory and account plans, and strengthen alignment with partner field organisations to position Adaptavist as a strategic transformation partner, leveraging a multi‑vendor ecosystem to create differentiated propositions. They will drive cross‑functional commercial integration with Marketing, Presales, Delivery, Finance and RevOps; recruit, onboard and develop talent; maintain a consistent operating rhythm (forecasting, pipeline generation, account planning, quarterly business reviews) and represent the DACH sales organisation with executive leadership while contributing to global sales strategy and operating‑model development.

As a Senior Contracts & Legal Manager in Commercial Operations, you’ll support the business with contract review, negotiation and management while collaborating with stakeholders, clients, subcontractors and suppliers. You’ll lead and support engagements primarily across Germany and the wider DACH region, collaborating with colleagues across EMEA and other geographies when needed, and own contracts from initial review through negotiation and signature, while also supporting Germany-specific legal and compliance matters. The Commercial Operations team provides contract management, negotiations, legal and compliance support, process improvement and risk management; you’ll work closely with Sales, Delivery, Finance and other functions, as well as with clients and their procurement and legal teams. Ideally based within reasonable travelling distance of Wiesbaden or Cologne, this is a hybrid role with office attendance required around 1-2 days per week. Key duties include reviewing, drafting and redlining NDAs, MSAs, SOWs and software purchasing agreements; independently negotiating terms; end-to-end contract ownership; supporting supplier/subcontractor arrangements; working on RFPs, tenders, onboarding and compliance questionnaires; supporting data protection, privacy and GDPR and other regulatory requirements; managing contract information and internal systems; contributing to knowledge management, playbooks, templates and processes; coordinating peer reviews of redlines and balancing legal/commercial risk with The Adaptavist Group’s wider strategy, while collaborating with colleagues across Germany, EMEA and the wider global Commercial Operations team.

Sentry is a fast-growing application monitoring company trusted by over 200,000 organizations, building an AI-native future to help developers fix errors and performance issues faster. As a Senior Software Engineer on the Telemetry Experience team, you’ll own the end-to-end developer experience that turns telemetry into usable APIs, workflows, and interfaces across the backend (Python/Django and PostgreSQL) and frontend (React/TypeScript). You’ll own projects end to end, from rough customer problems through scoping, design, implementation across the stack, rollout, and measurement, collaborating with SDK and ingest teams to shape contracts and ensure a native developer experience. Qualifications include 5+ years shipping full-stack web apps, strong React/TypeScript and Python with PostgreSQL, a proven track record of cross-team initiatives, excellent English communication, and experience with AI-powered development tools; bonus points for familiarity with observability, developer-facing products, high-volume data stores or streaming systems, and open-source contributions. Salary starts at EUR 60,844 gross per year per IT-KV, with compensation above the minimum and comprehensive benefits, and Sentry is an equal-opportunity employer that values diversity and accommodations, as detailed in the Applicant Privacy Policy.

Atlassian is seeking a Commercial Counsel to join its Commercial Legal team to support Enterprise Sales in the Central/West US, Canada, and LATAM, collaborating with Sales, Trust, and other Legal colleagues to negotiate SaaS agreements with major enterprise customers. The role is remote (with the option to work from an Atlassian office) and Atlassian supports flexible work arrangements, including hiring in any country where it has a legal entity. You will negotiate contracts from drafting to execution—covering contract generation, redlining, exhibit coordination, approval escalation, record management, and post-execution support and compliance—while providing pragmatic, business-minded guidance on customer requests and working with internal partners to modify standard terms as needed; you will also draft terms and coordinate with Product, Engineering, and Compliance to support sales to highly-regulated customers. You will join a team of six attorneys supporting Central/West US Sales as well as Canada and LATAM Sales and will liaise directly with Sales clients and customers. The ideal candidate takes ownership, collaborates effectively, translates SaaS contracting complexities for cross-functional colleagues, thrives under tight deadlines while managing risk, navigates a decentralized global organization, and has strong knowledge of software and cloud services, business models, and AI-related issues, with a creative approach to risk-based solutions.

- Atlassian is seeking a Commercial Counsel to join the Commercial Legal team, focusing on Enterprise Sales in the Central/West AMER region and negotiating SaaS agreements with major enterprise customers in the Central/West US, LATAM, and Canada. - The role is remote (with an option to work from an Atlassian office) and involves liaising directly with Sales clients and customers to support strategic projects and transactions. - You’ll be part of a six-attorney team supporting Central/West US Sales as well as expanding Canada and LATAM Sales, handling contracts from drafting to execution, including redlining, exhibit coordination, approvals, record management, and post-execution compliance. - You will provide pragmatic, business-minded guidance on customer requests, obtain internal approvals for modifications, and draft terms in collaboration with Product, Engineering, and Compliance for highly-regulated customers. - The ideal candidate is ownership-driven and collaborative, able to translate SaaS contracting complexities, manage risk while closing deals, navigate a decentralized global organization, and bring strong knowledge of software/cloud services and AI-related issues with creative, risk-based recommendations.

At Atlassian, we aim to help customers compete in the modern digital economy and have built a multi-billion-dollar software business with 300,000 paying customers, hundreds of partners, and millions of users, all under a culture that is open, collaborative, and relentlessly customer-focused. The Strategic Solution Sales team develops and executes strategies to drive adoption of the Service Collection (ESM/ITSM/Customer Service Management) among Atlassian's largest customers. The Strategic Solution Sales Executive acts as a customer champion, feeds insights back to product and engineering, and owns a defined regional territory in Southern Europe. In this role, you will own end-to-end territory strategy, lead the Service Management sales motion, and drive multi-product conversations that leverage multiple components of the Atlassian platform. You will design and run targeted campaigns to build a healthy pipeline, orchestrate the right cross-functional resources, and engage senior decision-makers and economic buyers with value-based conversations tied to business outcomes.

Atlassian aims to help customers compete and win in the modern digital economy and has built a multi-billion-dollar, fast-growing software business with 300,000+ paying customers, hundreds of partners, and millions of users worldwide. The culture is open, welcoming, collaborative, and passionately focused on customers’ success. The Strategic Solution Sales team creates and drives sales strategies to increase adoption of the Service Collection (ESM/ITSM/CSM) among Atlassian’s largest customers, with the Strategic Solution Sales Executive acting as a customer champion and feeding insights back to product and engineering. In this role you’ll own your territory in Southern Europe end-to-end, build multi-quarter sales plans, and be accountable for the numbers alongside the overall Account Executive. You’ll lead the Service Management sales motion, design targeted campaigns to generate pipeline, orchestrate cross-functional resources, engage senior decision-makers, and conduct value-based conversations that tie Atlassian’s platform to key business outcomes.