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Atlassian offers flexible work options—office, remote, or hybrid—and hires globally wherever there is a legal entity. As a Principal-level (P70) designer, you have cross-domain, cross-functional ownership and influence over senior management, shaping design direction, North Star experiences for agent creation and lifecycle, Studio strategy, and cohesive narratives that align teams to roadmaps. You will design systems that unify agents, apps, and automations into a coherent experience, propose scalable architectural improvements, lead end-to-end design on high-leverage, ambiguous problems, maintain exceptional craft, and influence long-term architecture with PM and Engineering, while bringing an informed point of view on AI-native patterns, developer experience, and marketplace mechanics. You drive research, data, and prototyping at the portfolio level, plan formative and summative research, synthesize insights into clear directions, champion rapid prototyping and iterative testing, and multiply the team by coaching mid- and senior-level designers and participating in hiring. You champion inclusive, accessible design, embed accessibility practices across systems and reviews, adopt AI-native ways of working within the Ecosystem & Marketplace design team, build consensus among senior stakeholders, rally cross-functional teams around a shared vision, and represent Design in the rooms where the biggest ecosystem decisions are made.

At Zendesk, the company is reinventing Customer Experience and Employee Services with a unified Resolution Platform powered by AI and cloud technologies, and they’re hiring a Sales Engineer to design and demonstrate AI-driven solutions that deliver measurable value for top brands. You will lead technical and business discovery, conduct AI readiness assessments, design tailored demos and proofs of value, and own the end-to-end technical engagement from qualification to pilot, ensuring alignment with customer goals and compliance. You will architect AI-driven CX and ES solutions by translating AI capabilities into business narratives, integrate and scale using Zendesk APIs, middleware, telephony, and cloud platforms (AWS, Azure, GCP), collaborate across teams to influence roadmaps, and measure ROI with analytics to drive AI adoption. Qualifications include 5+ years in presales or solutions consulting in SaaS/CX, strong knowledge of web technologies and SaaS architectures, experience designing pilots/POCs, deep AI knowledge (LLMs, NLP), domain expertise in CCaaS or related areas, excellent storytelling and communication skills, a bachelor’s degree (graduate degree a plus), and Dutch plus English fluency with willingness to travel. Zendesk also highlights a hybrid work model, commitment to fairness and diversity, AI screening for applications, and a strong emphasis on equal opportunity and accommodations for applicants with disabilities.

Zendesk is hiring a Vice President, Total Rewards to lead global compensation, benefits, accommodations and HR compliance, defining a holistic total rewards strategy and modernizing delivery with analytics, automation and AI while briefing executive leadership and the Board as needed. The role serves as the enterprise owner of Total Rewards standards, responsible for global policy, program design, compliance posture, and a scalable roadmap, and acts as an executive advisor on people risk, pay strategy, and program impact with board-facing materials. Key duties include designing competitive compensation, equity and benefits programs (base, variable, sales comp), partnering with executives on executive compensation, and driving AI-enabled automation to surface pay equity insights, model scenario impacts, and simplify operations. Requirements include 12+ years of HR experience with deep Total Rewards and executive compensation, 7+ years in senior/global leadership, global SaaS/technology experience, proficiency with HR analytics and automation, and strong cross-functional collaboration and board communication; preferred experience with SaaS/AI, Workday, and global equity or sales compensation programs, along with AI literacy and governance capabilities. The US base salary ranges $283,000–$425,000 with potential bonus/benefits; Zendesk promotes hybrid work, diversity and inclusion, and informs applicants that AI or automated decision systems may screen applications, while accommodations are available for applicants with disabilities.

Tempo serves 30,000+ customers, including a third of Fortune 500, offering an integrated suite for time management, resource planning, budgeting, roadmapping, program management, and reporting, and is the #1 time management add-on for Jira in the Atlassian ecosystem since 2007. The company aims to help teams work smarter and strives to be a tech company with a heart, continuing to innovate award-winning products and solutions. The Associate Account Executive will own the full SMB sales cycle—from prospecting and demos to closing deals and building long-term client relationships—collaborating with internal teams to drive onboarding and customer success. Requirements include 2+ years in sales/BD/AM with a proven quota track record, strong communication and negotiation skills, CRM experience (Salesforce/HubSpot), and a preferred Bachelor’s in Business/Marketing or related field. Perks include remote-first environment, unlimited vacation, comprehensive benefits, training and travel reimbursements, diverse teams, professional growth opportunities, and an equal opportunity employer, with resumes submitted in English.

Tempo serves over 30,000 customers, including about a third of Fortune 500 companies, and offers integrated solutions for time management, resource planning, budget management, roadmapping, program management, and reporting to help modern teams deliver value. Since 2007, Tempo began as a time-tracking tool and has grown to be the #1 time management add-on for Jira, expanding through development and acquisitions to become a trusted name in the Atlassian ecosystem with a mission to help the world work smarter. The company is hiring an Associate Account Executive to own the full SMB sales cycle—from prospecting and qualifying to closing deals and building lasting client relationships—and to collaborate across Tempo to deliver tailored solutions and drive revenue growth. Responsibilities include identifying and engaging SMB prospects, delivering product demos and consultative presentations, managing the sales pipeline and CRM, negotiating contracts, building retention and upsell opportunities, and ensuring smooth onboarding and customer success while staying informed on industry trends. Requirements include 2+ years in sales or related roles with a proven quota track record, strong communication and negotiation skills, experience with CRM tools (e.g., Salesforce, HubSpot), and a preferred bachelor’s degree; the role offers remote-first work, unlimited vacation, comprehensive benefits, professional development, an inclusive culture, and an equal opportunity employer with resumes requested in English.

Tempo is a global software company with 30,000+ customers, including a third of Fortune 500, offering integrated solutions for time management, resource planning, budget management, roadmapping, program management, and reporting, built to help modern teams translate vision into value; it began in 2007 as a time-tracking tool and has become the #1 time management add-on for Jira in the Atlassian ecosystem, with a mission to help the world work smarter. The role is Associate Account Executive, owning the full SMB sales cycle—from prospecting to closing—and working with internal teams to tailor solutions and drive revenue growth. Key responsibilities include identifying and engaging SMB prospects, delivering product demonstrations and consultative presentations, managing the sales pipeline and CRM, negotiating contracts and terms, building long-term client relationships for retention and upsell, and ensuring smooth onboarding and customer success while staying current on industry trends. Requirements include 2+ years in sales or related fields with a proven quota track record, strong communication and negotiation skills, CRM experience (Salesforce or HubSpot), comfort in a fast-paced environment, and a preferred bachelor’s degree in Business or Marketing. Tempo offers a remote-first environment with benefits such as unlimited vacation in many locations, comprehensive health/dental/vision and savings plans, training and travel reimbursements, diverse teams, professional development opportunities, and an inclusive culture; resumes should be submitted in English.

Atlassian lets employees choose where they work—office, home, or a mix—and hires from any country with a legal entity, serving over 300,000 customers including NASA, IBM, HubSpot, Samsung, and Coca‑Cola to unleash team potential with software and drive revenue growth. The company emphasizes the value of “play as a team,” supports one another, shares knowledge, and has employees work with Atlassian, not for it, while offering strong sales earning potential in a vast enterprise market. Atlassian is advancing responsible AI integration into its cloud products, migrating customers to the cloud, and building trust through cost transparency, faster collaboration, and improved business outcomes as part of a bold sales strategy. The sales role focuses on steering a set of high-value, strategic accounts, understanding their long-term goals, and developing customized plans to expand and retain them, while nurturing relationships with decision-makers and executives and collaborating across internal teams and partners to deliver aligned solutions. Key responsibilities include strategic account or territory planning, serving as the primary contact or escalation point, negotiating contracts, conducting market research, providing forecasts, maintaining deep product knowledge, traveling as needed, and mentoring junior team members.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The company serves over 300,000 customers worldwide, including NASA and Coca‑Cola, and aims to unleash the potential of every team through software while driving ongoing revenue growth, guided by a “play as a team” culture where employees work with Atlassian, not for it. The sales role targets high‑value accounts, building relationships with key decision‑makers, and coordinating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver aligned solutions. Responsibilities include developing named account or territory plans, acting as the main contact or escalation point, leading negotiations, conducting market research, forecasting sales, traveling as needed, and mentoring junior team members. Atlassian seeks customer‑focused, creative professionals who can implement strategic sales plans, understand customer objectives, and advance an AI‑driven cloud migration and growth strategy in line with Atlassian values.

- Atlassian offers flexible work options (office, home, or a mix) and hires globally where it has a legal entity, giving employees more control over family and personal goals. - The company serves over 300,000 customers worldwide—including NASA, IBM, HubSpot, Samsung, and Coca‑Cola—with a mission to unleash every team's potential through software, delivering customer impact and driving revenue growth. - Atlassian's unique value is "play as a team," fostering mutual support, shared wins, and knowledge sharing, with employees working with Atlassian rather than for it. - The sales role centers on strategic accounts, building relationships with decision-makers (including C‑level executives), identifying expansion opportunities, and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver aligned solutions and negotiate contracts. - The company is leading responsible AI integration into cloud products and migrating customers to the cloud, while the role also involves developing named account or territory plans, forecasting, market insight, mentoring juniors, and traveling to meet clients and attend events.

Atlassian supports flexible work arrangements, allowing Atlassians to work from an office, home, or a combination, and hires in any country where they have a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive the adoption and long-term growth of the DX product (getdx.com) for enterprise customers. The role serves as the post-sale technical authority, leading technical implementation, onboarding, complex integrations, and system architecture to ensure customers realize maximum value. Responsibilities include leading technical deep-dive sessions, mapping the DX platform to a client’s workflows, designing tailored integrations, and asking targeted questions to optimize deployment. The position also acts as a trusted advisor on best practices for DX analytics and deployment, while capturing customer feedback to inform the product roadmap.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product for Enterprise customers, serving as the post-sale technical authority. The role leads technical implementations, partnering with Customer Success Managers to onboard clients, manage complex integrations, and design system architectures for a smooth transition from evaluation to production. It includes architecture and strategy work, deep-dive sessions to map the DX platform to a customer’s workflows, and custom solution engineering to create integrations and workflows that connect DX APIs to client environments, along with consultative implementation to optimize deployment pipelines. The position acts as a trusted advisor on best practices for DX analytics, deployment methodologies, and cultural transformation, and maintains a feedback loop with Product and Engineering to influence the roadmap.

Atlassian supports flexible work arrangements—office, remote, or a mix—and hires people in any country where they have a legal entity. The Advisory Services Delivery team is seeking a Senior Solution Consultant (Strategy Collection focus) to provide expert Atlassian guidance to large strategic and enterprise clients as an individual contributor. Responsibilities include aligning on strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, creating prescriptive guidance, traveling up to 30% for events, and collaborating with cross-functional teams. Required background includes 6-8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, experience mapping operations to product capabilities, and familiarity with strategy/planning tools and AI integrations; fluency in English is required, with a second language such as Spanish, French, or Portuguese being a plus. Perks include substantial time off and an education budget, and Atlassian emphasizes an inclusive culture with non-discrimination and provides resources like a Candidate Resource Hub.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where it has a legal entity. The Advisory Services Delivery team is a globally distributed group of Atlassian experts helping large strategic and enterprise customers realize value from Atlassian products. They’re hiring a Senior Solution Consultant (Strategy Collection focus) as an individual contributor to provide strategic technical guidance, align outcomes, drive business results, create prescriptive content, and identify opportunities for service and product expansion. Ideal candidates have 6–8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, experience with Strategy Collection tools and other enterprise tools, AI integrations, fluency in English (a second language is a plus), and up to 30% travel. Atlassian offers perks like ample time off, an education budget, volunteer days, and a culture that emphasizes inclusion and confidentiality, with resources such as a Candidate Resource Hub to learn more about the process.

- Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires globally where it has a legal entity, enabling staff to balance family and personal goals while impacting millions of users. - The Atlassian Advisory Services team is a globally distributed group of experts delivering trusted guidance to large enterprise customers to maximize value from their Atlassian investments. - The Senior Solution Consultant with a Strategy Collection focus is an individual contributor in Advisory Services Delivery, responsible for delivering strategic technical guidance, aligning product capabilities with business outcomes, and identifying opportunities for service and product expansion. - Responsibilities include collaborating on strategic outcomes, solving client challenges with Atlassian products, creating prescriptive guidance, staying current with best practices, working cross-functionally, and traveling up to 30% of the time. - Requirements include 6–8 years in SaaS, 5+ years in customer-facing roles engaging with stakeholders from technical admins to executives, expertise in Enterprise Agility, experience mapping operations to product capabilities, and fluency in English (additional languages and AI integration experience are a plus); Atlassian emphasizes an inclusive culture with nondiscrimination, generous perks, and an emphasis on confidentiality per EEO guidelines via its Candidate Resource Hub.

At Atlassian, you can work in an office, from home, or a hybrid setup, and the company hires globally wherever it has a legal entity to support personal priorities and impact millions of users. The Senior Solution Consultant with a Strategy Collection focus is an individual-contributor role within the globally distributed Advisory Services Delivery team, providing expert Atlassian guidance to large strategic and enterprise customers. Responsibilities include aligning on strategic outcomes, solving business challenges with Atlassian products and practices, identifying expansion opportunities, creating prescriptive guidance, collaborating with cross-functional teams, and traveling up to 30% domestically or internationally. The ideal candidate has 6–8 years in SaaS with 5+ years in customer-facing roles, deep Enterprise Agile expertise, the ability to map customer operations to product capabilities, experience delivering enterprise strategy and planning tools (e.g., Strategy Collection, Rally, RTC, ADO, VersionOne) and AI integrations (Rovo, Agentic AI, MCP), and fluent English (additional languages like Spanish, French, or Portuguese are a plus). Atlassian emphasizes perks like time off, an education budget, and volunteer days, and maintains a diverse, inclusive culture with non-discrimination and confidentiality in line with EEO guidelines, with more details available in the Candidate Resource Hub.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity, supported by a globally distributed Advisory Services team focused on customer success. - They’re hiring a Senior Solution Consultant with a Strategy Collection focus as an individual contributor to deliver expert Atlassian guidance and drive value realization for enterprise clients who purchase Advisory Services. - Responsibilities include collaborating with peers to define strategic outcomes, solving business challenges with Atlassian products and practices, identifying expansion opportunities, creating prescriptive guidance, and traveling up to 30% for internal and client-facing events. - Candidates should have 6-8 years in SaaS, 5+ years in customer-facing roles, deep Enterprise Agility expertise, ability to map operations to product capabilities, experience with enterprise strategy and planning tools (Strategy Collection and alternatives like Rally, RTC, ADO, VersionOne), and AI integrations (Rovo, Agentic AI, MCP), plus English fluency and ideally a second language. - Perks include ample time off and an annual education budget, with Atlassian emphasizing inclusive culture and non-discrimination, and offering resources like the Candidate Resource Hub to learn more.

- Atlassian offers flexible work arrangements—office, remote, or a mix—and hires in any country where it has a legal entity. - The Advisory Services Delivery team is globally distributed, and this Senior Solution Consultant (Strategy Collection focus) will be an individual contributor delivering strategic, technical guidance to Atlassian’s largest enterprise customers to maximize value from their Atlassian investments. - Responsibilities include collaborating to define strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, building deep solution expertise, creating prescriptive guidance, and traveling up to 30% for internal and customer events. - The role requires 6–8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, the ability to map customer operations to product capabilities, and experience with enterprise strategy and planning tools (Strategy Collection: Align, Focus, Talent, Jira Plans; Rally, RTC, ADO, VersionOne) and AI integrations; fluent English, with a second language a plus. - Atlassian emphasizes inclusive culture and benefits (ample time off, an education budget, volunteer days) and maintains confidentiality per EEO guidelines, with a Candidate Resource Hub to learn more.

Atlassian supports flexible work locations and hires people in any country where they have a legal entity, with the globally distributed Advisory Services team helping their largest strategic and enterprise customers succeed using Atlassian solutions. They are hiring a Senior Solution Consultant with a Strategy Collection focus to join the Advisory Services Delivery team as an individual contributor, delivering strategic technical guidance and helping clients realize value from their Atlassian investment. Responsibilities include collaborating on strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities within a client’s organization, building deep industry expertise, creating technical content, and traveling up to 30% for internal and customer-facing events. Requirements include 6–8 years in SaaS, 5+ years in customer-facing roles engaging with stakeholders from technical administrators to executives, expertise in Enterprise Agility, ability to map customer practices to product capabilities, experience delivering enterprise strategy and planning tool implementations, and familiarity with multiple tools and AI integrations, with English fluency and a second language (e.g., Spanish, French, Portuguese) as a plus. Perks include ample time off and an annual education budget, and Atlassian emphasizes non-discrimination and confidentiality with resources available in the Candidate Resource Hub.

Atlassian supports flexible work locations and hires globally where it has a legal entity, with a focus on AI-powered teamwork and Rovo as the intelligent teammate. You’ll join the Rovo Chat Quality team and help turn “making Rovo better” into measurable, shippable improvements by building evaluation systems, datasets, quality signals, and production ML capabilities. As a Senior Machine Learning Engineer, you’ll tackle open-ended technical challenges, drive advances in models, agents, and evaluation, and translate them into measurable customer value for millions of users. You’ll architect and build production ML and evaluation systems at scale, advance agentic capabilities such as reasoning, planning, tool use, memory, and long-horizon execution, and close the loop between evaluation and product impact while balancing quality, latency, safety, and cost. The role requires a proven track record shipping large-scale ML/AI systems, deep experience with LLM-powered products and agentic systems, strong production engineering, technical leadership, and excellent communication and mentorship skills.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country with a legal entity, helping teammates balance family, personal goals, and priorities. You’ll join the Rovo Chat Quality team within the Rovo + AI organization, focusing on turning “make Rovo better” into measurable customer value by building evaluation systems, datasets, quality signals, and production ML capabilities that reveal where Rovo succeeds or falls short. As a Senior Machine Learning Engineer, you’ll stay hands-on while setting direction across teams to advance models, agents, and evaluation, translating improvements into measurable benefits for millions of active users. Responsibilities include architecting and building production ML and evaluation systems at scale (datasets, simulations, automated judges, regression suites, experimentation platforms, online signals), advancing Rovo’s agentic capabilities (reasoning, planning, tool use, memory, long-horizon execution), and closing the loop between evaluation and product impact by shipping interventions and assessing outcomes, all while balancing quality, latency, safety, and cost. Required background includes a track record shipping large-scale ML/AI systems with measurable customer impact, deep experience with LLM-powered products and agentic systems, strong production engineering skills, technical leadership, and excellent product/technical judgment and communication.

At Atlassian, employees can work flexibly (office, home, or hybrid) and the company hires globally in countries with a legal entity. They are seeking a senior analytics engineer / sales data analyst to drive data alignment between enterprise go-to-market and finance by designing robust data pipelines and an AI-ready context layer. The role includes building and maintaining data infrastructure for quality and accessibility, creating canonical datasets via ETL/ELT, and monitoring data drift across systems like Salesforce, Oracle Fusion, Gainsight, and Databricks. It also involves partnering with finance, data engineering, and other cross-functional teams to flag data inconsistencies, conducting sizing analyses for infrastructure changes, and owning core data transformations from requirements through UAT to implementation. Additionally, the position emphasizes process improvements to reduce manual work, enable scalable analytics, and performing UAT/QA on bug fixes and feature releases for data systems.

Atlassian offers flexible work options and hires globally where it has a legal entity. They seek a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing pipelines to monitor data drift among systems like Salesforce, Oracle Fusion, Gainsight, and Databricks. The role involves designing, building, and maintaining data infrastructure for quality, consistency, and accessibility, and leading the development of data products and an AI context layer to scale analytics. Responsibilities include building canonical datasets with high-volume ETL/ELT pipelines using data lakes and warehouses, partnering with finance and other teams to flag data inconsistencies affecting the close, and performing sizing analyses for infrastructure changes with impact analyses. The position also requires owning core system data transformations from requirements to UAT to deployment, leveraging tools to improve efficiency and reduce manual work, and conducting UAT/QA on bug fixes and feature releases.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, giving employees control over family and personal goals. They’re seeking a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing robust data pipelines and monitoring data drift among Salesforce, Oracle Fusion, Gainsight, and Databricks. The role includes evolving the data stack, championing best practices in data processing and analytics design, and building a robust AI context layer to enable safe interaction by AI agents. You’ll lead the development of data products, canonical datasets, and ETL/ELT pipelines (data lake and warehouse concepts) to ensure data quality, consistency, and accessibility for analytics across the company, and you’ll partner with finance and cross-functional teams to flag inconsistencies that affect financial close. Additional duties include executing sizing analyses for transformational data infrastructure changes, owning SME-level knowledge of core system data transformations, seeking efficiencies to remove manual processes, and performing UAT/QA on bug fixes and feature releases.

At Atlassian, employees can choose to work in an office, from home, or a mix of both, and the company hires in any country where it has a legal entity. They are seeking a versatile, senior sales data analyst or analytics engineer to align data between enterprise go-to-market and finance. The role involves designing robust data pipelines and infrastructure to monitor data drift across systems like Salesforce, Oracle Fusion, Gainsight, and Databricks, plus building a context layer to enable safe AI interactions. Responsibilities include developing canonical datasets via high-volume ETL/ELT pipelines, ensuring data quality and accessibility for analytics, and partnering with finance and other teams to flag data inconsistencies and support close of books. Additional duties cover owning core data transformations from requirements through UAT to deployment, driving efficiencies to remove manual processes, and performing UAT/QA on bug fixes and feature releases.

Atlassian offers flexible work options and hires globally; this role is based in the United States with a strong preference for Pacific or Mountain time zones and requires regular travel to Sydney, San Francisco, and Seattle. The role is Head of Product for Jira, responsible for leading Jira’s experience, AI, and customer adoption, and for shaping how humans and agents collaborate within Jira. You’ll lead a global team of product managers across Australia, the United States, and India, reporting to Jira’s Head of Product and acting as an immediate deputy for strategy, team building, and executing major initiatives. Key responsibilities include owning the multi-year product strategy for human-agent collaboration, guiding the core Jira experiences (work items, boards, lists, backlogs, plans, views, and mobile), defining AI and Teamwork Graph context, and driving agent adoption from onboarding to habitual use. You’ll also partner with leaders across Atlassian, especially in the Teamwork Collection and AI groups, build an experience-led product culture, and serve as the senior product voice with customers and the market.

- Atlassian offers flexible work options and hires globally; the role is based in the US with a preference for Pacific or Mountain time, and regular travel to Sydney, San Francisco, and Seattle is expected. - The Head of Product for Jira will lead the product organization responsible for Jira’s experience, AI, and customer adoption, shaping how humans and agents collaborate across work items, boards, lists, backlogs, plans, agent sessions, and the Teamwork Graph context. - This leader will head a global team across Australia, the United States, and India, report to Jira’s Head of Product, and act as an immediate deputy responsible for strategy, team-building, and executing major initiatives. - Key focuses include owning a multi-year strategy for human-agent work in Jira, driving the core Jira experiences, defining AI/agent context, and accelerating agent adoption through in-product discovery, onboarding, automation, and related efforts. - Additional responsibilities involve building and scaling a large product organization, upholding experience-led product management standards, partnering cross-functionally with Atlassian teams, and representing customer and market voice to shape a durable Jira vision.

Atlassian offers flexible work options and can hire globally where it has a legal entity; the role is based in the United States with a strong preference for Pacific or Mountain time zones and will require regular travel to Sydney, San Francisco, and Seattle. The Head of Product for Jira will lead the product organization focused on Jira’s experience, AI, and customer adoption, shaping the surfaces where humans and agents collaborate—work items, boards, lists, backlogs, plans, agent sessions, and the Teamwork Graph context. You’ll lead a global team of product managers across Australia, the United States, and India, report to Jira’s Head of Product, and work closely with engineering and design leadership while maintaining a high quality bar and engaging meaningfully with customers. Key responsibilities include owning the multi-year product strategy for human/agent collaboration in Jira, guiding core Jira experiences, defining AI and agent context, and driving agent adoption through in-product discovery, onboarding, automation, and habitual use. Additional focus areas involve building and scaling the PM organization across three geographies, maintaining an experience-led product management standard, partnering cross-functionally within Atlassian (notably Teamwork Collection and AI groups), and acting as the senior product voice with customers and the market to translate learnings into a durable experience vision.

Atlassian offers flexible work options, and this role is based in the United States with Pacific or Mountain time preferred to support collaboration with teams in Australia; you should expect regular travel to Sydney, San Francisco, and Seattle. The Head of Product for Jira will lead the product organization responsible for Jira’s experience, AI, and customer adoption, shaping the surfaces where humans and agents work together across work items, boards, lists, backlogs, plans, agent sessions, and the Teamwork Graph context. You’ll lead a global team of product managers across Australia, the United States, and India, report to Jira’s Head of Product, and be responsible for strategy, team building, and executing major initiatives while working closely with engineering and design and maintaining a high quality bar. The role centers on owning a multi-year product strategy for how humans and agents do work together in Jira, guiding core Jira experiences, and defining AI and agent context to turn Teamwork Graph data into better customer outcomes, plus driving agent adoption through in-product discovery, onboarding, automation, and habitual use. You’ll build and scale the product organization across three geographies, partner with Atlassian leaders in the Teamwork Collection and AI groups to resolve duplicated work and align teams around shared outcomes, and serve as the senior product voice with customers and the market to translate real-world feedback into a durable experience vision.

Atlassian offers flexible work options—office, home, or hybrid—and the role is fully remote but UK-based, with virtual interviews and onboarding as part of being a distributed-first company. As Principal Value Management Advisor in Atlassian’s Value Management Office for the EMEA region, you will lead strategic value engagements shaping Atlassian’s most critical customer relationships. You will set the benchmark for value management craft, drive innovation at scale, and act as a thought leader and trusted advisor to senior executives within Atlassian and across customer accounts. Your work will involve building influential relationships with key decision-makers, analyzing data to create business cases and metrics, and uncovering value drivers through advanced discovery to develop holistic solutions. You’ll deliver executive presentations, contribute to new VMO solutions, align cross-team efforts, and develop thought leadership to support value-based selling and customer success.

Atlassian supports flexible work arrangements—office, home, or hybrid—with this role fully remote but UK-based, and interviews and onboarding conducted virtually as part of its distributed-first approach. As a Principal Value Management Advisor in Atlassian’s Value Management Office, you will lead strategic value engagements shaping Atlassian’s most critical customer relationships in the EMEA region. You will set the benchmark for value management craft, drive innovation at scale, and serve as a thought leader and trusted advisor to senior executives both within Atlassian and across our customer base. Your work includes building influential, personalized relationships with key decision-makers, analyzing customer data to identify opportunities and develop metrics, and using advanced discovery to uncover value drivers for holistic solutions. You will create executive-level presentations, contribute to new VMO solutions, align teams, and share thought leadership to support value-based selling across the organization.

At Atlassian, employees can work flexibly and the company hires globally where it has a legal entity; the role is Manager of the EMEA Solutions team for DX, leading a team of Solutions Engineers and Solutions Architects to grow the DX product across EMEA. You will scale the technical strategy across pre- and post-sales, coaching SEs and SAs through discovery, POCs, and implementations, and act as a key bridge between Sales, Customer Success, Product, and Engineering leadership. You will partner with EMEA Sales and Customer Success leaders to ensure the platform meets the needs of rapidly growing and agile engineering organizations, while recruiting, onboarding, and mentoring a world-class EMEA team and fostering a culture of technical excellence and continuous learning. Your responsibilities include acting as a player-coach on high-stakes opportunities, overseeing POCs and deal strategy, and guiding pilots and go-lives with clean handoffs to post-sales, while noting that you do not own the CS motion. You will drive process optimization, standardize POC playbooks and implementation handoffs, manage resource allocation across the EMEA pipeline, advocate for the EMEA customer in leadership discussions and with Product/Engineering to prioritize the roadmap, and define KPIs aligned with regional revenue targets and successful technical delivery.

At Atlassian, employees can choose flexible work arrangements and the company hires globally wherever it has a legal entity. The Manager of the EMEA Solutions team for DX will lead a high-performing group of Solutions Engineers and Solutions Architects to drive DX growth across the EMEA region, partnering with EMEA Sales and Customer Success as well as Product and Engineering leadership. The role involves recruiting and mentoring, scaling the technical strategy across pre-sales and post-sales, and coaching teams through discovery, POCs, and implementations to ensure value delivery and clean handoffs. It also emphasizes pre-sales strategy and deal support, implementation strategy, process standardization (POC demos, handbooks, handoffs), and balancing resource allocation while representing the EMEA customer in cross-functional discussions to shape the roadmap. Success is measured by KPIs aligned with regional revenue targets and the effectiveness of technical delivery.

SmartBear delivers application integrity for modern tech stacks with continuous, AI-speed governance, offering deep test automation, API lifecycle management, and observability across the SDLC. It is trusted by 32,000 organizations—including 75% of the largest financial institutions—and brands like Adobe, JetBlue, and Microsoft; its open source tools are downloaded over 100 million times per month and have 30,000+ GitHub stars. Its portfolio includes Swagger, TestComplete, Reflect, QMetry, Zephyr, and others, and the company invites people to learn more at smartbear.com or follow on LinkedIn, X, and Reddit. The Workplace Services Manager role in Somerville, MA entails day-to-day office operations, vendor and service-provider management, health and safety, space planning, events, and food/beverage coordination, requiring 3–5 years of relevant experience. SmartBear emphasizes an inclusive culture, offers growth opportunities, and provides a transparent total rewards package with a base salary range of $60,000–$79,000, plus bonuses and benefits, with compensation determined by experience, skills, and location.

Sentry is hiring a Senior Technical Program Manager in San Francisco (three days per week in the office) to coordinate AI/ML platform work and cross-functional areas including AI/ML, Issues Platform, Product Design, and Ingest to deliver a cohesive product experience. The role involves connecting roadmaps, sequencing work, managing dependencies and integration risks, and shaping release readiness with a lightweight change-readiness process that includes documentation and support preparation. The ideal candidate has experience leading complex cross-team programs from problem definition through launch, with the ability to review designs, discuss architectural tradeoffs, manage dependencies, and communicate progress and decisions clearly; preferred background includes shipping AI/ML features and working with data pipelines or developer tools. Sentry emphasizes team principles like making work visible, raising risks early, reducing friction, respecting ownership, and keeping partners informed to ensure timely delivery. Compensation ranges from $150k to $240k with benefits, and Sentry provides equal opportunity and accommodations per its policies and privacy policy.

Sentry helps developers fix errors and performance issues faster, trusted by 200,000+ organizations and pursuing an AI-native future. The Infrastructure Engineering team builds the internal control platforms, configuration systems, traffic routing, and automation that let product engineers operate services safely at scale. The Engineering Manager for Infrastructure Engineering will lead a team responsible for internal admin and change management tools, configuration automation, and the routing layer, owning technical vision, reliability, and cross-team coordination. The role requires nurturing engineers, fostering an inclusive, high-performing culture, and partnering with Production Engineering, SRE, and Developer Infrastructure to keep tooling consistent as the company grows. Qualifications include 10+ years of software engineering, 4+ years of management experience, experience leading architecture of internal control platforms, strong Python skills, familiarity with Kubernetes and Terraform, excellent technical communication, and a base salary of $220,000–$400,000 USD plus up to 15% annual bonus, along with benefits and equal opportunity commitments.

Sentry is a software monitoring company trusted by over 200,000 organizations, helping developers fix errors and performance issues faster while building an AI-native future. In this role, you’ll own AI-assisted coding within Sentry’s Platform Engineering organization, bridging teams with Developer Infrastructure as your home base and starting by making internal developer systems accessible to agents via APIs and integrating tools like Claude Code. You’ll build context and execution environments for agents, implement checks and evaluations to improve AI-generated pull requests, and automate recurring work such as dependency upgrades and minor bug fixes, while expanding workflows across issues and CI/CD. Qualifications include 10+ years of software engineering, experience building developer tooling or automation used by engineering teams, hands-on experience with AI coding tools and agents, and strong communication; prior ML experience is not required. The base salary range is $220,000 to $400,000 plus up to 15% annual bonus, with full benefits and equal opportunity, Sentry’s open-source ethos, and accommodations; the role is based in San Francisco with three days per week in the office.

Sentry helps developers fix errors and performance issues faster, is trusted by 200,000+ organizations, and is building an AI-native future. The Engineering Manager for the Events Analytics Platform (EAP) leads engineers who store, query, and analyze event data—such as errors, transactions, spans, profiles, replays, and metrics—and powers Sentry’s AI initiatives like Seer. You’ll grow a high-impact team, set technical direction, drive core EAP features, enable large-scale cross-event querying, support AI workloads, unify event data, and lead cross-functional collaboration and incident response. Qualifications include 10+ years in software engineering with 4+ years of people management, a strong background in data platforms or analytical backends (e.g., ClickHouse, Pinot, Druid), experience with distributed systems and query optimization, and Python or Rust; compensation ranges from $220k to $400k base plus up to 15% annual bonus, plus benefits. Sentry is an equal opportunity employer with a commitment to diversity and inclusion, offers accommodations for disabilities, and provides details in its applicant privacy policy.

Sentry is a leading application monitoring company that helps developers fix issues faster and is expanding its Platform team with a Senior Staff Software Engineer to shape infrastructure, streaming, and storage across the organization. The role will set technical direction for platform initiatives, own cross-team projects from design to production, address bottlenecks and reliability risks, and stay hands-on with design, prototyping, and coding. You’ll partner with engineering and product leaders to prioritize platform investments, guide major architectural decisions, mentor senior and staff engineers, and build alignment across teams. Requirements include 12+ years of software engineering, a proven track record leading cross-team initiatives, deep cloud experience (AWS or GCP), and expertise in cloud infrastructure, streaming, and storage with strong hands-on skills. Compensation ranges from $260,000 to $400,000 base plus up to 20% annual bonus, with benefits and equal opportunity commitments, and the company’s open-source and accessibility ethos plus accommodations if needed.

This remote role at DX, a fast-growing SaaS company headquartered in Salt Lake City, centers on using millions of data points to power insights into developer productivity for customers like Pinterest, GitHub, BNY, and Xero. DX has scaled profitably—tripling its annual recurring revenue in recent years—and has recently closed an acquisition by Atlassian to accelerate growth, R&D, and impact for customers. The company values individual mastery and rewards those who become the best at their craft, emphasizing doing work at the highest level possible even when outcomes are influenced by factors outside one’s control. The role entails coaching a team of Strategic Account Executives to meet targets, acting as a player-coach in high-stakes deals, institutionalizing pipeline discipline and forecasting, analyzing performance data to remove bottlenecks, driving GTM improvements from customer feedback, fostering continuous learning, and recruiting top talent. Ideal candidates are team-first, systems thinkers who lead by example, provide radical candor with empathy, thrive in ambiguity, balance data-informed decisions with the human element, and exhibit high emotional intelligence to navigate complex internal stakeholders.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The company is seeking a Lead Product Designer to join the AI Design team and work on AI experiences across Atlassian, including the flagship Rovo product. The team is primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across Jira, Confluence, and Loom on applied AI, modeling AI-enabled design practices, and partnering with leadership and cross-functional teams to unify AI capabilities across Atlassian. The ideal candidate has 7+ years of product design experience for complex or enterprise software, experience with applied AI in products like Search, AI Chat, and Agents, and strong systems-thinking skills to integrate multiple teams and improve processes to accelerate adoption of new capabilities.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Atlassian offers flexible work options and global hiring across countries where they have a legal entity, with Jira at the heart of their System of Work in the Teamwork ecosystem. The Jira Design team is seeking a Principal Product Designer to lead visionary work across Jira, reporting to a Senior Design Manager, and collaborating with teams in Australia and North America. In this role you will design end-to-end product experiences for over 10 million users, mentor the design team, and ensure Jira feels cohesive as if designed by one hand. Day-to-day work includes designing end-to-end experiences that integrate AI into Jira workflows, modernizing Jira’s design language, and partnering with leadership to define a unified vision for modern work management. The ideal candidate has 9+ years of end-to-end product design experience, expertise in AI-native processes and complex enterprise software, strong storytelling and stakeholder engagement, and the ability to drive programs with measurable outcomes across cross-functional teams.

Atlassian supports flexible work locations and hires in any country where it has a legal entity, with Jira at the core of its System of Work evolving into an intelligent partner for modern work. The Jira Design team is seeking a Principal Product Designer to lead visionary work across Jira, reporting to a Senior Design Manager and coordinating across teams in Australia and North America. The role involves conceptualizing and delivering industry-leading experiences, mentoring the design team, guiding strategy, and owning end-to-end product experiences from strategy to UI. Daily responsibilities include designing end-to-end AI-enabled Jira workflows, modernizing the design language across Jira, Rovo, and 1P/3P agentic workflows, and partnering to define a unified vision and measurable impact for customer value and business goals. Requirements include 9+ years of end-to-end product design, strong visual/UX craft and prototyping, experience shaping AI-native processes and agent integrations, leadership on ambiguous problems, storytelling, user research, and robust cross-functional leadership and stakeholder engagement.

Atlassian aims to unleash the potential of every team and is investing heavily in Generative AI to accelerate how teams work, discover, and create. They’re hiring a Principal Machine Learning Systems Engineer (P60) to lead the technical direction of GenAI Products & Knowledge Innovations in the US, focusing on building and scaling systems that power enterprise knowledge, rapid prototyping, and applied research. The role involves designing scalable ML systems for training, fine-tuning, and serving LLMs and embeddings, plus building efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. It emphasizes enabling rapid prototyping and applied research by partnering with applied scientists to turn ideas into production-ready pipelines and by optimizing latency, throughput, and resource use for GenAI workloads. Collaboration across ML engineers, backend developers, and product teams is required to ship end-to-end innovations and establish the team as a world-class GenAI systems hub, with flexible work options and the ability to hire in any country where Atlassian has a legal entity.

Atlassian is investing in Generative AI and is seeking a Principal Machine Learning Systems Engineer (P60) to lead the technical directions of GenAI products and knowledge innovations in the US. The role focuses on building and scaling systems that power advanced GenAI products with enterprise knowledge, rapid prototyping, and applied research, bridging cutting-edge algorithms with reliable, high-performance infrastructure. Responsibilities include designing and building scalable ML systems for training, fine-tuning, and serving large language models and embeddings, and developing retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. It also emphasizes enabling rapid prototyping and applied research, partnering with scientists to create POC systems and evolve them into reliable, scalable services, while optimizing latency, throughput, and resource efficiency for GenAI workloads. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity, reflecting a global, distributed team and collaboration across ML engineers, backend developers, and product teams to ship end-to-end GenAI innovations.

Atlassian aims to unleash the potential of every team and is investing heavily in Generative AI to accelerate how teams work, discover, and create. They’re seeking a Principal Machine Learning Systems Engineer (P60) to lead the technical direction of GenAI Products & Knowledge Innovations in the US, focusing on building and scaling systems that power enterprise knowledge, rapid prototyping, and applied research. The role involves designing scalable ML systems for training, fine-tuning, and serving large language models and embeddings, and building efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. It emphasizes enabling rapid prototyping and applied research by partnering with applied scientists to produce production-ready pipelines, plus optimizing latency, throughput, and resource efficiency for GenAI workloads. Collaboration across ML engineers, backend developers, and product teams is required to ship end-to-end innovations, contribute to best practices in deployment, monitoring, and evaluation, and help establish the team as a world-class hub for GenAI systems innovation; Atlassian also supports flexible work locations and can hire in any country with a legal entity.

At Atlassian, the company is investing deeply in Generative AI and seeking a Principal Machine Learning Systems Engineer (P60) in the US to lead GenAI Products & Knowledge Innovations and advance scalable systems for enterprise knowledge and rapid prototyping. The role involves architecting and implementing scalable ML systems for training, fine-tuning, and serving large language models and embeddings, plus building efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. It also emphasizes enabling rapid prototyping and applied research by partnering with scientists to turn ideas into production-ready pipelines and optimizing latency, throughput, and resource efficiency. The engineer will collaborate across ML engineers, backend developers, and product teams to ship end-to-end innovations and contribute to deployment, monitoring, and evaluation best practices, helping to establish the team as a world-class GenAI systems hub. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country with a legal entity, enabling support for family and personal goals.

Atlassian supports flexible work locations and hires globally, with virtual interviews and onboarding as part of being a distributed-first company. Atlassian is seeking a Principal Machine Learning Scientist to join the Central AI team in Bellevue, WA. The Central AI organization builds the fundamental infrastructure, data pipelines, frameworks, models, and other capabilities to accelerate AI feature development across the company. Central AI is part of the Atlassian Intelligence program and aims to accelerate AI innovation, provide cohesive AI experiences, and lay the AI infrastructure for the future, while most AI work will be conducted by federated product teams. In this role, you’ll drive development of cutting-edge ML algorithms, train sophisticated models, collaborate with product, engineering, and analytics teams, design system and model architectures, conduct experiments and evaluations, and mentor other ML engineers to realize AI's potential across Atlassian's offerings.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires globally with virtual interviews and onboarding as part of its distributed-first approach. They are seeking a Principal Machine Learning Scientist for the Central AI team based in Bellevue, WA. The Central AI organization builds fundamental infrastructure, data pipelines, frameworks, models, and other capabilities to accelerate AI feature development across the company. It is part of the Atlassian Intelligence program, aiming to accelerate AI innovation, provide cohesive AI experiences, and establish an Atlassian AI infrastructure while federated product teams execute most AI initiatives; Central AI ensures a unified foundation and develops core experiences like search, knowledge discovery, and conversation. The role involves driving cutting-edge ML development, training models, collaborating across product, engineering, and analytics teams, designing architectures, conducting experiments, and mentoring emerging ML engineers to realize AI’s transformative potential across Atlassian’s offerings.

Atlassian lets employees choose where to work—office, home, or a hybrid setup—and hires globally with virtual interviews and onboarding as part of being a distributed-first company. They are seeking a Principal Machine Learning Scientist for the Central AI team based in Bellevue, WA. The Central AI organization builds the core infrastructure, data pipelines, frameworks, and models to accelerate AI feature development and is part of the Atlassian Intelligence program to drive AI innovation and provide cohesive AI experiences, including shared capabilities like search and knowledge discovery. While most AI initiatives will be developed by federated product teams, Central AI provides the underlying infrastructure and common experiences to prevent silos and enable unified AI functionality across the company. The role involves designing system and model architectures, conducting experiments and evaluations, training advanced models, collaborating with product, engineering, and analytics teams, and mentoring junior ML engineers to realize AI's transformative potential across Atlassian's offerings.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity, giving teams more control over personal priorities. The role is ML System Engineer on the AI & ML Platform’s Inference team. You will design and optimize large-scale model serving systems end-to-end, spanning distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable infrastructure for model serving, optimizing latency and throughput under real production workloads, and building high-concurrency serving systems that handle billions of requests while benchmarking, fine-tuning, and accelerating inference engines. You will create robust CI/CD pipelines for seamless model deployment and inference engine updates, and partner with senior ML engineers to fine-tune and deploy open-source LLMs.

Atlassian offers flexible work locations (office, home, or a hybrid) and hires from any country where it has a legal entity. As an ML System Engineer on the AI & ML Platform’s Inference team, you will design and optimize large-scale model serving systems end-to-end. You will own distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) and deep low-level optimizations (GPU kernels, quantization, speculative decoding). The role requires architecting scalable distributed infrastructure for model serving, optimizing latency and throughput under real production workloads, and building high-concurrency systems that serve billions of requests. You will benchmark, fine-tune, and accelerate inference engines, create robust CI/CD for deployment and updates, and collaborate with senior ML engineers to fine-tune and deploy open-source LLMs.

Atlassian supports flexible work locations, letting employees choose between office, home, or a hybrid arrangement to better support family and personal goals. They can hire people in any country where they have a legal entity. The role is ML System Engineer on the AI & ML Platform's Inference team, responsible for designing and optimizing large-scale model serving systems end-to-end. Responsibilities include architecting scalable distributed infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimizing latency and throughput under real production workloads, building reliable, high-concurrency serving systems for billions of requests, benchmarking and accelerating inference engines, and creating robust CI/CD for model deployment and inference engine updates. The role also involves partnering with senior ML engineers to fine-tune and deploy open-source LLMs.

At Atlassian, people can choose where to work—office, home, or a hybrid—and the company hires globally where it has a legal entity. Jira is the core of Atlassian’s System of Work, and the Jira Design team is seeking a Lead Product Designer to evolve Jira across the Teamwork Collection, reporting to a Senior Design Manager. The role involves conceptualizing and delivering industry-leading experiences, mentoring the design team, leading strategic initiatives, and owning end-to-end product experiences used by more than 10 million users. Day-to-day work includes designing end-to-end Jira experiences that integrate AI, modernizing Jira’s design language, and partnering with leadership and cross-functional teams to define a unified vision with measurable outcomes. The ideal candidate has 7+ years of product design experience for complex software, strong craft and prototyping skills, experience with AI-native workflows, end-to-end UX, customer research, storytelling, collaboration, metrics, stakeholder management, and process improvement.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. Jira sits at the heart of Atlassian’s System of Work, evolving from a work-management tool into an intelligent partner powered by Teamwork Graph, Rovo, and agent tooling. The Jira Design team is looking for a Lead Product Designer who will report to a Senior Design Manager and lead strategic work across Jira with a multinational team in Australia and North America. In this role you’ll design end-to-end experiences, modernize Jira’s design language, drive AI-enabled workflows, define success metrics, and collaborate with engineers, product managers, researchers, and other teams to deliver cohesive product experiences. Candidates should have 7+ years of product design experience, strong craft, AI-native design experience, end-to-end UX skills, customer research, storytelling, stakeholder management, and the ability to drive impact across multiple teams and programs.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. - They are seeking a Lead Product Designer for the Growth Platform team to shape Atlassian’s front door, evolving the website into end-to-end journeys grounded in customer intent and JTBD with AI-first experiences. - The role entails leading design across core areas such as modernization and craft, user engagement and activation, journey-led architecture, AI-powered experiences, and cross-functional mentorship, partnering with Design, Product, Engineering, Content, and Analytics. - The candidate should have 10+ years of product design experience, exceptional craft in visual and interaction design, AI-first prototyping skills, journey-driven systems thinking, strategic vision, and data-informed decision-making with collaborative leadership. - Desirable background includes designing high-traffic marketing websites or large-scale web experiences, growth and experimentation, and influence across organizational boundaries.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. - They’re seeking a Lead Product Designer to join the Growth Platform team to evolve Atlassian’s website into cohesive, AI-first end-to-end customer journeys. - The role involves setting strategy and leading design across modernization, user engagement, journey-led architecture, AI-powered experiences, and cross-functional collaboration to boost engagement and long-term value. - Candidates should have 10+ years of product design experience, exceptional craft, AI-first prototyping, journey-driven systems thinking, strategic vision, data-informed decision-making, and collaborative leadership. - Experience with high-traffic marketing sites, growth/experimentation, and operating across organizational boundaries is preferred.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, serving more than 300,000 customers worldwide including NASA, IBM, HubSpot, Samsung, Booking.com, Heineken, IKEA, and Coca-Cola. The goal is to unleash the potential of every team through powerful software, delivering exceptional customer impact and ongoing revenue growth, anchored in the unique value of “play as a team” where employees support each other and share knowledge. There is strong earning potential for the sales team, supported by a vast enterprise market and customer preference for Atlassian products, with employees working with Atlassian, not for Atlassian. As a salesperson, you will build and nurture relationships with key stakeholders, negotiate contracts, and collaborate with internal teams—Channel Partners, Product Specialists, Account Managers, and Solution Engineers—to ensure customer satisfaction and success, especially with Fortune 500 companies. Responsibilities include developing and executing named account or territory plans, strategic sales, lead qualification, executive-level relationship building, contract negotiations, accurate forecasting, cross-functional collaboration, staying updated on industry trends, and traveling as needed, serving as the main Atlassian contact for designated accounts and driving complex sales cycles.

Atlassian offers flexible work options—office, remote, or hybrid—and hires people in any country where it has a legal entity, with a mission to unleash the potential of every team through software and to deliver exceptional customer impact and ongoing revenue growth, serving over 300,000 customers worldwide including NASA, IBM, HubSpot, Samsung, Booking.com, Heineken, IKEA, and Coca-Cola. The culture centers on the value of “play as a team,” emphasizing mutual support, celebrating wins, and sharing knowledge, with employees working with Atlassian, not for Atlassian, and strong earning potential for the sales team due to a vast enterprise market and customer preference for Atlassian products. As a team member, you will build and nurture relationships with key stakeholders, negotiate complex contracts, and collaborate with internal teams to ensure customer satisfaction. The role requires a customer-focused, creative, hunter mindset, and excitement to identify business needs and ideate solutions for Fortune 500 companies. Responsibilities include developing and implementing named account or territory plans, executing strategic sales plans, identifying and qualifying leads, building C-level relationships, collaborating with channel, marketing, product, and customer success, negotiating contracts and pricing, providing accurate forecasting and account planning, staying aware of industry trends, traveling as necessary, and serving as the main Atlassian contact to run strategy plays and manage long-term, cross-functional sales cycles.

At Atlassian, you can work in an office, from home, or in a hybrid setup, but this role requires you to be located in France to support team collaboration. Atlassian serves over 300,000 customers worldwide and aims to unleash every team's potential through software, delivering significant customer impact and ongoing revenue growth, underlined by the value of 'play as a team'. The company is leading the responsible integration of AI into its cloud products as it migrates customers to the cloud, building trust through cost transparency, faster collaboration, and accelerated business outcomes. The role involves constructing and executing a powerful sales strategy for a high-value, strategically important customer base, including managing a defined set of accounts and understanding their long-term goals to foster mutual growth. Responsibilities include developing named account and territory plans, building relationships with key decision-makers and executives, aligning solutions with customer objectives, coordinating with internal teams and partners, leading negotiations, conducting market research, staying informed on industry trends, and providing sales performance updates to senior management while traveling and participating in industry events.

Atlassian offers flexible work locations (office, home, or hybrid), but the role requires being located in France. Atlassian serves over 300,000 customers worldwide and aims to unleash the potential of every team through software, driving customer impact and revenue growth. The company emphasizes its value of “play as a team,” supporting each other, celebrating wins, and sharing knowledge, with employees working with Atlassian rather than for it. They’re leading responsible AI integration into cloud products to migrate customers to the cloud while building trust through cost transparency, faster collaboration, and better business outcomes. The role involves shaping and executing a sales strategy for key high-value customers, including developing named account and territory plans, understanding client goals, coordinating with internal teams, leading negotiations, staying informed on market trends, and providing performance updates with travel and industry events.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. They are seeking a Senior Solutions Engineer, Strategic for their strategic business, who will be a product expert in the sales cycle and help solve customers’ toughest problems to close enterprise deals. The role involves partnering with sales and larger account teams on transformation deals in multi-million dollar global accounts, engaging C-level executives, conducting discovery, mapping business needs to Atlassian products, and identifying cross-product opportunities with value-driven demonstrations. You’ll lead the customer’s technical needs in the sales process, forge strong partnerships with aligned account executives, coordinate cross-functional teams, and document product feedback and competitive intelligence for internal teams. Compensation is described as equitable and competitive, with location pay zones and ranges (and a link to pay zones), and potential benefits, bonuses, commissions, and equity depending on location.

Atlassian offers flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity. They are seeking a Senior Solutions Engineer, Strategic focused on being a product expert during the sales cycle to solve customers' hardest business problems and help close enterprise deals. The role involves partnering with sales and executives in large, multi-million-dollar accounts, conducting customer discovery, mapping business problems to Atlassian solutions, and leading value-based demonstrations. It also requires forging strong cross-functional partnerships, tracking feedback and competitive intelligence, helping the product team, and continuously refining pre-sales knowledge and processes. In the United States, the role offers base pay ranges by geographic zone (Zone A $168,300-$219,725; Zone B $151,271-$197,493; Zone C $139,506-$182,132) with potential benefits, bonuses, commissions, and equity, and candidates should confirm their zone with the recruiter.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Senior Solutions Engineer, Strategic role is to be a product expert in the sales cycle, solve customers' toughest business problems with Atlassian products, and help close enterprise deals. Responsibilities include partnering with sales teams and executives in large, multi-million dollar accounts; conducting customer discovery; mapping needs to Atlassian products; identifying cross-product opportunities; leading value-based demos; and guiding customers' technical requirements while gathering feedback for product management. The role requires building long-term C-level relationships, forging strong partnerships with account executives, leading cross-functional teams, and maintaining pipeline alignment toward shared goals. Compensation includes geographic pay zones in the US with three zones and associated base pay ranges, plus benefits, bonuses, commissions, and equity; details are at go.atlassian.com/payzones and should be confirmed with a recruiter.

- Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where they have a legal entity, empowering employees to balance family and personal goals. - Atlassian seeks a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solve customers' hardest business problems with Atlassian products, and help close enterprise deals. - The role involves partnering with sales teams on transformation deals in large global accounts, engaging with C-level executives, conducting discovery, mapping needs to Atlassian solutions, and identifying cross-product opportunities. - Responsibilities include leading value-based demonstrations, guiding customers' technical needs to gain buy-in, forging strong partnerships with account executives, coordinating cross-functional support, and feeding product feedback to management. - Compensation is designed to be equitable and competitive with three US geographic pay zones, offering base pay ranges (Zone A: $168,300–$219,725; Zone B: $151,271–$197,493; Zone C: $139,506–$182,132) plus benefits, bonuses, commissions, and equity, with zone confirmation through a recruiter.

The role is remote from the UK at DX, a Salt Lake City–based fast-growing SaaS company that collects data to power insights into developer productivity for customers like Pinterest and GitHub. DX has scaled profitably, tripled its annual recurring revenue in recent years, and was recently acquired by Atlassian to expand resources, accelerate growth and R&D, and deliver greater impact to customers. DX values individual mastery and performance, stating that those who achieve mastery will thrive and be rewarded, while outcomes may be influenced by factors outside their control. In the role, you’ll own the full sales cycle—from prospecting and qualifying to proposal, negotiation, and close—run proofs of concept and demos, build a strong, accurately forecasted pipeline, and translate market insights into product and GTM improvements. The ideal candidate is competitive, self-motivated, autonomous, adaptable to rapid change, takes ownership of outcomes, is a continuous learner, communicates clearly with engineers and executives, and balances bias for action with diligence.