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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Figma is seeking an experienced Technical Program Manager to build and operate the program system for its Internal AI Tooling portfolio, reporting to the CIO PMO and partnering with Product, Engineering, Security, Legal, Data, and other stakeholders. The role translates the Product Manager’s roadmap into integrated plans, milestones, release schedules, decision points, and clear ownership, while establishing lightweight planning, governance, and intake processes with defined problems, outcomes, delivery paths, risks, and accountable owners. You’ll manage cross-functional execution, maintain dependencies and risks, coordinate security, legal, procurement, and data integrations, and ensure releases have acceptance criteria, runbooks, and clear handoffs with measurable outcomes. Requirements include 5+ years of technical program management or technical delivery in cloud/SaaS/enterprise environments, the ability to translate roadmaps into plans with credible technical planning, and excellent communication; you don’t need to be an engineer but must engage credibly in technical discussions. Figma offers a base salary range of $169,000–$245,000 plus equity and comprehensive benefits, supports remote or US-hub work, and emphasizes an inclusive, growth-oriented culture with accommodations available during hiring.

Figma is expanding its team of creatives and builders to make design accessible to all, with a platform that supports brainstorming, prototyping, translating designs into code, and AI-assisted iteration for real-time collaboration from anywhere. The company is looking for an experienced Technical Program Manager to build and run the program operating system for Figma's Internal AI Tooling portfolio, reporting to the CIO PMO and partnering with Product, Engineering, Security, Legal, Procurement, Data Engineering, Business Systems, IT, Enablement, and other business teams. You’ll translate the Product Manager’s roadmap into integrated program plans, manage execution across technical and business stakeholders, establish lightweight planning and governance, maintain dependencies and risks, coordinate security/legal/procurement milestones, and ensure releases have clear ownership and measurable outcomes. Requirements include 5+ years of technical program management in cloud/SaaS/enterprise environments, experience leading cross-functional programs, the ability to translate roadmaps into milestones and release schedules with clear ownership boundaries, and strong technical fluency in enterprise systems and software lifecycles; remote or US-based roles are available. Preferred extras include experience delivering internal AI tooling, governance frameworks, enterprise SaaS, change management, and familiarity with compensation details (base salary range $169,000–$245,000, equity and benefits); Figma is an equal opportunity employer offering accommodations for applicants with disabilities, and there are notes about cameras during video interviews and in-person onboarding.

Figma is expanding its Finance Data Science team with a full-time role (remote in the US or based in one of its US hubs) to build the data foundation powering financial reporting, forecasting, strategic decision-making, and investor communications as the company scales. The Finance Data Scientist will own data models for key metrics (ARR, revenue, billings, collections), build scalable reporting and forecasting systems, and ensure data accuracy across month-, quarter-, and year-end closes while collaborating with Engineering, Product, and finance teams. The role includes conducting deep-dive analyses to inform strategic decisions, defining and operationalizing key financial and operational metrics, and advising Finance leadership on reporting and decision-making. Requirements include 3+ years in data science/analytics/finance, advanced SQL and Python, experience supporting finance stakeholders, and the ability to translate complex data into actionable insights; preferred experience includes SaaS/subscription models, ASC 606, and tools like DBT, Snowflake, Git, Spark, or IPO readiness. The position offers a base salary range of $140,000–$348,000 plus equity and broad benefits, and Figma is an equal opportunity employer that provides accommodations and a range of additional benefits.

Figma is expanding its Finance Data Science team to build the data foundation for financial reporting, forecasting, strategic decision-making, and investor communications as the company scales and introduces new products and AI offerings. The Finance Data Scientist will own financial data models (ARR, revenue, billings, collections), design scalable reporting and forecasting systems, ensure data accuracy across month-end to year-end closes, and partner with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams. Requirements include 3+ years in data science/analytics/finance, advanced SQL and Python, experience supporting finance stakeholders, and the ability to translate complex data into actionable insights; preferred skills include SaaS/revenue models, ASC 606, and tools like DBT, Snowflake, Git, Spark, or Presto. This is a full-time role based in the US (remote option available) with a salary range of $140,000-$348,000 plus equity and comprehensive benefits, and Figma emphasizes growth and diversity and encourages applicants even if not a perfect match. Figma provides accommodations for disabilities, requires camera-on interviews, onboarding may be in person, and personal data will be processed under the Candidate Privacy Notice.

At Appfire, a remote-first company with 800+ employees across 28 countries, we build software that helps teams collaborate, with flagship products like JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. The Senior Product Marketing Manager role is highly cross-functional and hands-on, owning positioning, messaging, go-to-market strategy, product launches, sales enablement, and full-funnel content for a portfolio of B2B SaaS products to drive demand and revenue. You’ll develop differentiated market strategies and messaging grounded in customer needs and product capabilities, define ideal customer profiles and journeys, build messaging frameworks, lead top-to-bottom demand and content programs, and orchestrate end-to-end launches and enablement for sales and partners, including AI-enabled approaches. The position requires 7–10+ years of B2B PMM experience with a proven track record launching SaaS products, strong cross-functional collaboration, data-driven GTM decisions, and experience supporting both new logo acquisition and expansion motions, with the ability to communicate to technical and executive audiences. Benefits include equity, unlimited PTO and holidays, comprehensive health coverage, 401(k) with match, CSR days, remote-work stipend, and optional on-site offices in Boston, Burlington, or New York City; Appfire is recognized by Deloitte, Inc., BuiltIn, and others and is an equal opportunity employer.

Appfire is a remote-first software company with 800+ employees across 28 countries, offering a portfolio of B2B SaaS products such as JXL, Comala, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. They’re seeking a Senior Product Marketing Manager to translate customer problems, product capabilities, and market opportunities into differentiated go-to-market strategies, owning positioning, messaging, launches, demand generation, and full-funnel content for multiple products. The role involves cross-functional collaboration with Product, Demand Gen, Sales, Customer Success, Channel/Partners, and Marketing, turning product strategy into campaigns, assets, sales plays, and customer journeys. Requirements include 7–10+ years of B2B SaaS product marketing with proven launches and full-funnel strategies, strong analytics, and experience with customer research and competitive intelligence; experience with ecosystems like Atlassian is especially valuable, and using AI tools in marketing is a plus. Success will be measured by GTM outcomes such as awareness, demand, leads and pipeline, adoption and expansion, and improved sales/partner effectiveness, with benefits including equity eligibility, 25–30 days of PTO, comprehensive health coverage, a CAD 600 annual sport allowance, CSR volunteering days, and industry recognition.

Appfire is a flexible, remote-first software company with 800+ employees across 28 countries, known for products like JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture, with customer stories available on their site. The Launch Manager role coordinates cross-functional product launches across the portfolio using Appfire's Launch Execution Framework to ensure alignment, readiness, dependencies management, risk surfacing, and timely decisions, while functional teams retain ownership of their deliverables. Responsibilities include orchestrating launches from intake to General Availability and post-launch review, facilitating readiness reviews and key decisions, surfacing risks early, providing visibility into launch health, and coordinating multiple concurrent launches with evolving requirements. Requirements include 2+ years in launch/program/product operations or related roles in SaaS/tech, strong organizational and facilitation skills, ability to influence without direct authority, and experience coordinating complex cross-functional initiatives across product and go-to-market lifecycles. Benefits include equity for all employees, generous vacation and wellbeing perks, learning through Appfire University, comprehensive health and life insurance, lifestyle stipends and remote-work support, and recognition as a top employer by Deloitte Tech Fast 500, Inc. Best Places to Work, BuiltIn Best Places to Work, and Inc. 5000, along with an equal opportunity employer commitment.

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.

Deviniti is hiring an Enterprise Transformation Advisor (AI & Digital) to work remotely with frequent travel, joining a Digital Transformation team led by Tomasz Stankiewicz and focusing on strategic advisory, AI, digital transformation, and Deviniti solutions (Cloud, Atlassian). This is a non-management role in which you will act as a business and strategic partner to large enterprises, building trusted relationships with C-level stakeholders to diagnose challenges, design strategy, and implement changes with measurable impact. Your duties include Strategy and Diagnosis (organizational process audits, transformation roadmaps, business cases, and diagnosing challenges in financial, banking, and energy sectors) and Implementation and Adoption (coordinating technology teams, ensuring adoption, and building a culture of change). Requirements include at least 10 years of enterprise experience, leadership of transformations in finance/banking/energy, knowledge of ML, GenAI, cloud architectures (Azure, AWS, GCP), SDLC/PDLC, and IT risk management, plus comfort with C-level workshops and safe AI adoption; nice-to-haves include AI solution experience and certifications such as TOGAF, ITIL, PMP, or Lean Six Sigma. Deviniti emphasizes wellbeing, skill development, feedback culture, employee freedom, CSR, and outlines a 5-stage recruitment process (CV screening, phone interview, online interview, on-site interview, and final decision within about two weeks), with more details on their site and social channels.

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

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

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

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

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

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

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

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

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

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

Atlassian supports flexible, distributed work and hires globally where it has a legal entity, with interviews and onboarding conducted virtually. They’re hiring a Solutions Engineer to grow the ITSM Specialist team in the US, who will work with enterprise sales and channel partners to understand customer needs and win large deals. In this role, you’ll navigate sales cycles, deliver value-based demonstrations, support proofs of concept, and help close business with enterprise customers. Atlassian’s customer base exceeds 250,000 and includes NASA, IBM, HubSpot, Samsung, and Coca-Cola; they emphasize value selling and a “play as a team” culture where employees work with, not for, Atlassian. You’ll specialize in Atlassian’s ITSM offerings, collaborate with cross-functional teams, map client requirements to Atlassian capabilities, align with sales management, deliver compelling presentations and POCs, and provide customer feedback to product management.

Atlassian offers flexible work options (office, home, or hybrid) and a distributed-first approach, hiring in any country with a legal entity, with virtual interviews and onboarding. They’re seeking a Solutions Engineer to grow the US ITSM specialist team, solving customers’ hardest problems and closing enterprise deals by working with enterprise sales and channel partners to understand needs and steer winning sales cycles. The role emphasizes value-based demonstrations, enterprise proofs of concept, and close collaboration to drive customer outcomes, ideal for a customer-obsessed, top-performing engineer. Atlassian serves 250,000 customers including NASA, IBM, HubSpot, Samsung, and Coca-Cola, emphasizes value selling and cross-functional teamwork, and promotes a “play as a team” culture with strong earnings potential in cloud and AI markets. You will specialize in ITSM offerings, design and optimize solutions for enterprise customers, map client requirements to Atlassian capabilities, partner with sales management on account plans, deliver compelling presentations and POCs, and work with product management to gather customer feedback.

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

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

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

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

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

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

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

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

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

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

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity to support employees’ family, personal goals, and other priorities. The Central AI Org is dedicated to AI innovation across Atlassian products, building horizontal AI capabilities and a centralized search, Q&A, and conversational AI system, while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by building productive tools for developing, deploying, measuring, and operating AI models and experiences. As a Senior ML System Engineer on the Inference team, you will design and optimize large-scale model serving systems end-to-end, from distributed infrastructure to low-level GPU and optimization work. You will architect scalable infrastructure for model serving, optimize latency and throughput under production workloads, build high-concurrency serving, benchmark and accelerate inference engines, create CI/CD for deployment, and collaborate with senior ML engineers to fine-tune open-source LLMs and deploy them.

Atlassian supports flexible work locations and hires people in any country where it has a legal entity, giving employees more control over family, personal goals, and priorities. The Central AI Org aims to drive AI innovation across Atlassian products, build horizontal AI capabilities, create a centralized search/Q&A/conversational AI system, and explore AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by providing productive, reliable tools to develop, deploy, measure, and operate AI & ML models and experiences. The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving, encompassing distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) and deep low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable model-serving infrastructure, optimizing latency and throughput under production workloads, building reliable high-concurrency serving, benchmarking and accelerating inference engines, creating robust CI/CD for model deployment and inference engine updates, and partnering with senior ML engineers to fine-tune open-source LLMs and deploy them.

- Atlassian supports flexible work locations and hires globally wherever it has a legal entity. - The Central AI Org drives AI innovation across Atlassian products, aims to deliver seamless AI experiences, build robust AI infrastructure, and create a centralized Search, Q&A, and Conversational AI system with potential external integrations. - The AI & ML Platform Team seeks to democratize AI and ML for Atlassian’s teams, customers, and ecosystem by building tools to develop, deploy, measure, and operate AI/ML models and experiences. - The Senior ML System Engineer on the Inference team designs and optimizes large-scale model serving systems end-to-end, from distributed infrastructure to deep low-level optimizations. - Responsibilities include architecting scalable model-serving infrastructure, reducing latency and increasing throughput under production workloads, building high-concurrency serving systems, benchmarking and accelerating inference engines, establishing CI/CD for model deployment, and collaborating to fine-tune open-source LLMs and deploy them.

- Atlassians can choose where to work (office, home, or hybrid) and the company hires in any country with a legal entity. - The Central AI Org drives AI innovation across Atlassian products, aims to build horizontal AI capabilities, and seeks to establish a centralized Search, Q&A, and Conversational AI system while exploring external AI integrations. - The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by creating productive tools for developing, deploying, measuring, and operating AI models and experiences. - The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving infrastructure, from distributed systems to deep low-level optimizations. - Responsibilities include architecting scalable model-serving infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), reducing latency and increasing throughput under production workloads, building reliable high-concurrency serving systems, benchmarking and accelerating inference engines, creating robust CI/CD for model deployment, and (with senior ML engineers) fine-tuning open-source LLMs for deployment.

Atlassian offers flexible work options—office, remote, or hybrid—and hires people in any country where the company has a legal entity, to support employees’ family, personal goals, and priorities. The Central AI Org is dedicated to driving AI innovation across Atlassian products and platforms, delivering seamless AI experiences and building a robust AI infrastructure, including developing horizontal AI capabilities, a centralized Search, Q&A, and Conversational AI system integrated with all products, and exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI and ML for Atlassian’s teams, customers, and ecosystem by creating productive, reliable tools to enable development, deployment, measurement, and operation of AI & ML models and experiences. As a Senior ML System Engineer on the AI & ML Platform’s Inference team, you will design and optimize large-scale model serving end-to-end, owning distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding). You will architect scalable distributed infrastructure for model serving, optimize latency and throughput under production workloads, build reliable, high-concurrency serving systems for billions of requests, benchmark and accelerate inference engines, create robust CI/CD for model deployment and inference engine updates, and partner with senior ML engineers to fine-tune open-source LLMs and deploy.

At Atlassian, employees can choose where to work—office, home, or a mix—and the company hires in any country where it has a legal entity. The Central AI Org aims to drive AI innovation across Atlassian products by building horizontal AI infrastructure, a centralized Search/Q&A/Conversational AI system, and exploring integrations with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML by delivering productive tools to develop, deploy, measure, and operate AI experiences for Atlassian teams, customers, and the ecosystem. The role is a Senior ML System Engineer on the AI & ML Platform’s Inference team, responsible for end-to-end design and optimization of large-scale model serving, from distributed infrastructure to deep low-level optimizations. Key duties include architecting scalable infra (load balancing, auto-scaling, batch scheduling, global KV cache), reducing latency and increasing throughput under production workloads, building high-concurrency serving systems for billions of requests, benchmarking and accelerating inference engines, establishing robust CI/CD for model deployment, and partnering with senior ML engineers to fine-tune open-source LLMs and deploy them.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally in countries where it has a legal entity. The Central AI Org aims to drive AI innovation across all Atlassian products, build horizontal AI capabilities, and establish a centralized Search, Q&A, and Conversational AI system while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by delivering tools to develop, deploy, measure, and operate AI/ML models and experiences. The Senior ML System Engineer on the Inference team will design and optimize large-scale model serving systems end-to-end, covering distributed infrastructure and deep low-level optimizations. Responsibilities include architecting scalable infrastructure, reducing latency and increasing throughput under production workloads, building high-concurrency serving systems for billions of requests, benchmarking and accelerating inference engines, creating CI/CD for deployments, and collaborating to fine-tune and deploy open-source LLMs.

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 supports flexible work locations and global hiring, with the Trusted Data Platform (TDP) delivering secure, scalable data storage including TDP SQL, the managed relational database. The company is hiring a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, partnering with senior engineers, product and program leaders, infrastructure, security, and product organizations to evolve TDP SQL into a dependable internal platform. The role emphasizes building an inclusive, high-performing team, effective hiring and development, setting operating practices, managing capacity, and translating complex requirements into a clear roadmap. It requires owning the platform’s reliability and trust—availability, durability, performance, security, compliance, data residency, backup/recovery, incident response, and visibility into customer commitments. It also entails cross-functional leadership and economics—defining architectural direction, managing multi-cloud deployments, reducing integration complexity, establishing technical and operational contracts, and managing cost posture to balance customer value with sustainable efficiency.

Atlassian offers flexible work options and hires globally where it has a legal entity, with its Trusted Data Platform (TDP) providing secure, compliant data storage used across product teams. TDP SQL is Atlassian’s managed relational database platform that handles infrastructure, security, scaling, and enterprise controls, enabling teams to build on relational databases without managing underlying systems. Atlassian seeks a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for the team’s people, strategy, execution, and operational outcomes, and to partner with senior engineers, product teams, security, and infrastructure to evolve the platform. Responsibilities include building an inclusive, high-performing team; defining strategy and roadmaps; owning reliability, service levels, incident response, and enterprise requirements like data residency and encryption; and increasing platform adoption by reducing integration complexity. The role also requires cross-functional leadership, cost and economics management, and making investment decisions that balance customer trust with sustainable platform value.

At Atlassian, employees can choose where to work—office, home, or a mix—and the company hires in any country where it has a legal entity. Its Trusted Data Platform (TDP) provides secure, scalable data storage for enterprise needs, including data residency, encryption, compliance, backup/recovery, and multi-cloud operations, with TDP SQL serving as the managed relational database platform. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for the team’s people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product and program leaders, infrastructure, security, and product groups. The role emphasizes building an inclusive, high-performing organization, defining and executing the TDP SQL roadmap, surfacing delivery risks, improving platform adoption, and managing capacity and technical debt alongside reliability and incident response. It also requires cross-functional leadership, architectural direction across cloud environments, clear ownership and decision rights, and stewardship of the platform’s cost posture, demand forecasting, unit economics, and investments to maximize customer trust and sustainable value.

Atlassian supports flexible work arrangements—office, remote, or a mix—and hires in any country where it has a legal entity. Atlassian’s Trusted Data Platform (TDP) provides secure, scalable data storage that helps teams manage persistent customer data while meeting data residency, encryption, regulatory, backup/recovery, and multi-cloud requirements. TDP SQL is Atlassian’s managed relational database platform, enabling engineering teams to build on relational databases without managing underlying infrastructure, availability, security, or enterprise controls themselves. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for people, strategy, execution, and operational outcomes, who will partner with senior engineers, product and program leaders, infrastructure, security, and product organizations to evolve TDP SQL into a dependable, easy-to-adopt internal platform. The role spans team leadership, strategy and execution, reliability and customer trust, technical and platform leadership, cross-functional collaboration, and cost management, including incident response, architectural direction across multiple clouds, and ensuring data residency, security, compliance, performance, and sustainable cost efficiency.

- Atlassian supports flexible work options, including in-office, remote, or hybrid arrangements, and hires in any country where it has a legal entity. - Its Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage that addresses data residency, encryption, regulatory compliance, backup and recovery, and multi-cloud operation. - TDP SQL is Atlassian’s managed relational database platform, offering a supported way to build applications on relational databases without handling underlying infrastructure, availability, security, or enterprise controls independently. - Atlassian is looking for a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product and program leaders, infrastructure teams, security specialists, and product organizations to evolve TDP SQL. - The role emphasizes building an inclusive, high-performing team, defining strategy and roadmap, ensuring reliability and trust, managing cross-functional dependencies and platform adoption, and owning cost posture and investment decisions.

Atlassian supports flexible work locations and global hiring, and maintains the Trusted Data Platform (TDP), which provides secure, reliable, and scalable data storage across multiple clouds with data residency, encryption, regulatory compliance, backup and recovery capabilities; TDP SQL is the managed relational database platform built on top of TDP. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for the team’s people, strategy, execution, and operational outcomes, and to partner with senior engineers, product and program leaders, infrastructure teams, security specialists, and Atlassian product organizations to evolve TDP SQL into a dependable, easy-to-adopt internal platform. Success in this role means building a strong engineering organization, operating a highly reliable platform, and translating complex customer and infrastructure requirements into a clear, executable roadmap, while establishing effective hiring, onboarding, talent development, succession planning, and capacity management. Responsibilities include defining and executing the TDP SQL strategy and roadmap aligned with broader data-platform and cloud-infrastructure goals, surfacing delivery risks and dependencies early, increasing platform adoption, owning operational health with SLOs and incident response, and ensuring data residency, encryption, backup/recovery, disaster recovery, and regulated environments are supported. The role also requires technical and cross-functional leadership across multiple cloud providers, managing costs and investment decisions, establishing clear ownership with partner teams, representing TDP SQL in reviews and planning, and balancing customer trust with platform value and sustainable cost efficiency.

At Atlassian, employees can choose where to work—office, home, or a mix—and the company hires people in any country where it has a legal entity. Atlassian’s Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage, including TDP SQL, a managed relational database service. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for the team’s people, strategy, execution, and operational outcomes. The role involves building an inclusive, high-performing team, defining strategy and roadmap, improving reliability, surfacing delivery risks, and partnering with product, security, infrastructure, and other teams to evolve TDP SQL. It also requires cross-functional leadership on architectural direction, cloud strategies, data residency and compliance, cost management, and delivering production-ready capabilities with sustainable trade-offs.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. The Senior Manager will build and drive the Government Cloud platform components, own the end-to-end release process, manage go/no-go decisions, and participate in hard launch calls in a hands-on leadership role. They will lead a team of 10-15 software engineers, focusing on mentorship, performance, on-call coverage, and building bench strength so no release depends on a single person. Strategically, they’ll develop a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout with canaries, automated release gates, and one-click rollback, while partnering with other platform teams to scale tooling. The role requires cross-functional collaboration with Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance; conducting blameless post-release reviews and ensuring compliance with change management and audit standards (e.g., SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian supports flexible work locations and hires from any country with a legal entity. The role is a Senior Manager to build and mature Atlassian Government Cloud platform components, leading end-to-end release processes and acting as a hands-on leader during hard launch decisions. Responsibilities include owning the release process for government releases (planning, versioning, readiness, cutover, verification, rollback), managing the release calendar and go/no-go criteria, and serving as the escalation point for release-impacting incidents. You will manage 10-15 engineers, coach and develop the team, drive a multi-quarter roadmap to reduce release risk and cycle time with trunk-based development, feature flags, canaries, automated release gates, and one-click rollback, while collaborating with platform teams to scale tooling. You will partner across functions, communicate status to senior leadership, run blameless post-release reviews, and ensure compliance and auditability for releases (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian supports flexible work arrangements—office, home, or a mix—and hires in any country where it has a legal entity. The Senior Manager will build and drive the Government Cloud platform components, lead a team of engineers to provide the infra for many product and service teams, own the go/no-go framework, and push the shift from continuous delivery to operator-approved releases, while being hands-on in strategy and launches. Responsibilities include owning the government release process (planning, versioning, release readiness, cutover, verification, rollback), running the release calendar and cross-team dependencies, and serving as the escalation point for release-impacting incidents and go/no-go criteria. You’ll manage 10-15 software engineers, coaching and hiring, setting expectations, building on-call rotations, and ensuring no release depends on a single person’s memory. You’ll define a multi-quarter roadmap to reduce release risk and cycle time (trunk-based development, feature flags, canaries, automated gates, one-click rollback), partner with platform teams and other functions, run blameless post-release reviews, and ensure releases meet change management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without unnecessary paperwork.

- Atlassian supports flexible work arrangements and hires globally where it has a legal entity. - The Senior Manager role is to build and mature the Government Cloud platform release components and own the end-to-end release process, including go/no-go decisions. - You will lead a 10–15 software engineers, set strategy, coach the team, and participate in hard launch calls and on-call escalation for releases. - You will drive a multi-quarter roadmap to reduce release risk and cycle time by adopting trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, partnering with other platform teams to scale tooling. - You will work with cross-functional partners and leadership, run blameless post-release reviews, and ensure compliance with change management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian supports flexible work locations and hires globally wherever it has a legal entity. The Senior Manager will build and drive the Atlassian Government Cloud platform components, focusing on end-to-end release capabilities and moving toward operator-approved releases. It is a hands-on leadership role that requires setting strategy, growing and coaching a 10–15 engineer team, and participating in hard launch decisions and escalations. You will own the government release process—from planning, branching/versioning, readiness, cutover, verification, and rollback to go/no-go criteria and a defined "ready to ship" standard—while coordinating a multi-team release calendar and handling incidents, including after-hours. You will drive a multi-quarter roadmap to reduce release risk and cycle time (trunk-based development, feature flags, progressive rollout/canaries, automated release gates, one-click rollback), partner with cross-functional teams to scale tooling while keeping releases compliant and auditable with standards such as SOC 2, ISO 27001, FedRAMP, PCI, or SOX, and lead blameless post-release reviews for continuous improvement.

Atlassian offers flexible work options (office, remote, or hybrid) and can hire in any country where it has a legal entity. They’re seeking a Senior Manager to build and mature the Government Cloud platform components, own end-to-end release components, drive the shift from continuous delivery to operator-approved releases, and lead a hands-on engineering team. Responsibilities include owning the release process (planning, versioning, readiness, cutover, verification, rollback), managing the release calendar across teams, and serving as the escalation point for release-impacting incidents. You’ll manage 10-15 engineers, grow the team, set expectations, and build bench strength, while driving a multi-quarter roadmap with trunk-based development, feature flags, canaries, automated release gates, and one-click rollback, partnering with platform teams to scale tooling. You’ll collaborate with stakeholders across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, run blameless post-release reviews, and ensure releases meet change-management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, or SOX) without turning delivery into paperwork.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees more control over family, personal goals, and other priorities. The Senior Manager will build and mature Atlassian Government Cloud platform components, focusing on end-to-end release components, and lead a team of engineers who provide infrastructure for multiple product teams and hundreds of service teams. Responsibilities include owning the government release process (planning, branching/versioning, release readiness, cutover, verification, rollback), managing the release calendar and dependencies, making go/no-go decisions, defining readiness criteria, and serving as the escalation point for release-related incidents. The role also entails managing 10-15 engineers, coaching and hiring, establishing performance and on-call rotation, and delivering a multi-quarter roadmap to reduce release risk with trunk-based development, feature flags, progressive rollout/canaries, automated release gates, and one-click rollback, plus partnering with platform teams to scale tooling and reduce toil. Lastly, the candidate will collaborate with Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance to align release and launch readiness, communicate risks to senior leadership, conduct blameless post-release reviews, and ensure change-management and audit compliance without turning delivery into bureaucracy.

Atlassian offers flexible work locations and hires globally in places where they have a legal entity. The role is with the Spark growth team, focusing on world-class experimentation at scale and building AEO/SEO features to help millions discover and sign up for Atlassian products. You will lead engineers, cultivate an inclusive culture, work with Talent Acquisition to hire diverse talent, monitor team health, and drive delivery across top-of-funnel workstreams using agile practices. Technical leadership includes setting architecture direction, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. Candidates should have 5+ years of experience managing software engineering teams (including 2+ years managing other managers or senior engineers), a CS degree or equivalent, a strong background in distributed systems and cloud infrastructure, plus experience with AI/ML systems and collaboration with product managers, TPMs, and designers to shape strategy.

- Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity. - The role sits on the Spark Growth team, focusing on large-scale experimentation to drive top-of-funnel acquisition and building AEO/SEO features to help millions discover and sign up for Atlassian products. - It combines People Leadership & Team Health (mentoring engineers, fostering inclusion, hiring, well-being) with Delivery & Outcome ownership (driving multiple top-of-funnel workstreams, prioritization, and agile efficiency), and Why Spark emphasizes meaningful early impact, collaborative learning, and a data-driven culture. - Technical Leadership & Architecture duties include defining long-term technical direction, establishing AEO methodologies, championing engineering excellence, and ensuring system resilience and maintainability. - The role requires 5+ years of experience managing software engineering teams, 2+ years managing managers or senior engineers, a CS degree or equivalent, a strong background in distributed systems/cloud/tooling, and experience with applied AI/ML systems and cross-functional collaboration with product managers and designers.

Atlassian supports flexible work locations and hires people in any country where it has a legal entity. The opportunity is with the Spark Growth team, focusing on world-class experimentation at scale to drive top-of-funnel customer acquisition and build AEO/SEO features for millions to discover Atlassian products. The role includes leading and developing engineers, building an inclusive, high-performing culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team health. You will own team outcomes, make trade-offs between feature development, technical debt, reliability, and security, and establish agile processes while guiding technical direction and ensuring system resilience and engineering excellence. Ideal candidates have 5+ years managing software engineering teams, 2+ years supervising other managers or senior engineers, a CS-related degree, a strong background in distributed systems and cloud infrastructure, experience with AI/ML and related tooling, and a track record partnering with product managers and designers to shape strategy.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where we have a legal entity. You will join the Spark Growth team focused on customer acquisition through experimentation and building AEO/SEO features to help millions discover Atlassian products. The role encompasses people leadership and team health—mentoring engineers, fostering an inclusive culture, hiring diverse talent, and maintaining team well-being and sustainable delivery. Technical leadership involves shaping architecture and long-term strategy, establishing AEO methodologies, championing engineering excellence, and ensuring system resilience. The role emphasizes early impact, data-driven decisions, collaboration, and measurable metrics, with requirements of 5+ years leading software engineering teams, 2+ years mentoring other managers or senior engineers, a CS degree or equivalent, and experience in distributed systems, cloud, AI/ML, and working with PMs/designers.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where the company has a legal entity. The role is with the Spark Growth team, focused on accelerating customer acquisition through experimentation on top-of-funnel surfaces and building AEO/SEO features. Responsibilities cover People Leadership & Team Health (mentoring engineers, building an inclusive culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team well-being) and Delivery & Outcome Ownership (driving multi-workstream execution, balancing feature development with technical debt, reliability, and security, and refining agile processes). Technical Leadership & Architecture duties include setting long-term technical direction, establishing AEO methodologies, promoting engineering excellence and system resilience, and guiding architecture decisions. The ideal candidate has 5+ years of experience managing software teams, 2+ years of experience managing other managers or senior engineers, a CS degree or equivalent, a strong foundation in distributed systems and cloud infrastructure, plus experience with AI/ML, collaboration with product managers and designers to shape strategy.

Atlassian offers flexible work locations and hires in any country where it has a legal entity, giving employees control over family, personal goals, and priorities. The company aims to be a 100-year, world-class engineering organization built from empowered, high-performing teams with the tools and infrastructure to do their best work. This role involves building, mentoring, and leading a distributed full-stack engineering team across global locations, while driving developer experience and platform capabilities—design system, theming, rapid prototyping, AI-powered accessibility remediation, and tooling—to accelerate high-quality product delivery. It also entails scaling Atlassian’s in-house translation and localization platform to improve translation quality, latency, and adoption, and partnering with Design, Product, and Engineering to embed accessibility, internationalization, and quality standards into platform tools and automated guardrails, along with governance and release hygiene across shared packages. Ideal candidates have 5+ years managing software engineering teams, proven experience leading senior and principal engineers, a strong full-stack background (backend services, distributed systems, React, TypeScript), familiarity with design systems, localization, prototyping tooling, or AI-assisted workflows, and a track record of leading distributed teams across time zones with a passion for mentorship and high-trust culture.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where it has a legal entity. The company aims to build a 100-year, world-class, empowered engineering organization with the tools and infrastructure for employees to do their best work. In this role you will lead a distributed full-stack engineering team, drive developer experience and platform capabilities across the design system, theming, prototyping tools, AI-powered accessibility remediation, and developer tooling, and scale the in-house translation/localization platform. You will partner with design, product, and engineering to embed accessibility, internationalization, quality standards, and guardrails into platform tools, while balancing governance with fast iteration. Requirements include 5+ years of experience managing software engineering teams in platform or full-stack, guiding senior/principal engineers, strong backend and frontend fundamentals, familiarity with design systems, localization, or AI-assisted developer workflows, and a track record of leading distributed teams across time zones with a focus on mentorship and high-trust culture.

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

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

Atlassian offers flexible work options—office, remote, or a hybrid—and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The company is on a mission to help customers compete in the modern digital economy and has built a multi-billion-dollar software business with hundreds of thousands of customers, partners, and millions of users. This is a remote role reporting to the Manager of the Strategic Sales segment in Deal Desk AMER, focusing on supporting the lifecycle of high-value enterprise deals for strategic accounts. You will own strategic deal structuring and modeling, provide high-impact advisory to sales/finance/legal, become an expert on Atlassian's commercial capabilities, build trusted relationships, and drive cross-functional initiatives to enhance deal strategy and lead-to-cash processes, including product and pricing changes. The role requires at least five years in B2B SaaS in Deal Desk/Strategy/Revenue Operations, experience shaping large complex deals with stakeholders, playbook development, and proficiency in CPQ, GTM systems, Excel, and governance practices.

Atlassian offers flexible work options—office, home, or hybrid—with global hiring and virtual interviews and onboarding as part of a distributed-first approach. The company is on a mission to help customers compete in the modern digital economy, boasting a multi-billion-dollar software business, over 300,000 paying customers, hundreds of partners, and millions of users, all within a culture that is open, collaborative, and customer-focused. This remote role in Deal Desk AMER supports the high-value enterprise deal lifecycle for strategic accounts, reporting to the Manager of the Strategic Sales segment, and involves structuring and modeling deals to balance customer outcomes with Atlassian’s commercial and risk goals. Responsibilities include providing strategic deal advisory to sales, finance, and legal; becoming an expert in pricing, packaging, contracts, and related systems; building trusted advisor relationships; leading cross-functional deal strategy and lead-to-cash initiatives; ensuring product/pricing changes are deal-ready; and mentoring junior team members. Requirements include at least five years in B2B SaaS deal-related roles, experience with complex deals and senior stakeholder alignment, development of playbooks for strategic motions, a BS/BA in a related field, knowledge of CPQ/QTC and core GTM systems (e.g., Salesforce, Oracle, NetSuite, Jira, Confluence, DocuSign), governance practices for strategic deal reviews, and strong Excel modeling with the ability to prioritize strategic work over ad-hoc tasks.

Atlassian offers flexible work locations—office, home, or hybrid—and globally hires in any country where it has a legal entity, giving employees more control over personal priorities. DX, headquartered in Salt Lake City, Utah, is a fast-growing SaaS company that helps engineering leaders build high-performing, productive teams and collects millions of data points daily to generate insights on developer productivity and experience for companies like Pinterest, GitHub, BNY, and Xero. The business has scaled profitably and grown rapidly, tripling annual recurring revenue in recent years, and DX recently closed its acquisition by Atlassian to expand resources and accelerate growth and R&D for greater customer impact. At DX, the core value is mastery and becoming the best at one's craft, with those who demonstrate this quality well rewarded, even as outcomes are affected by factors beyond control. The role involves building and maintaining ETL pipelines to extract, transform, and load live product data into research-ready formats; designing and optimizing data models for AI impact reports and benchmarks; collaborating with research and engineering to translate requirements into scalable data infrastructure; ensuring data quality and consistency; supporting ad hoc data pulls, and documenting schemas, transformations, and dependencies for self-serve data access.

Atlassian offers flexible work locations and hires in any country where they have a legal entity. DX, based in Salt Lake City, is a fast-growing SaaS company that helps engineering leaders build high-performing teams, collects millions of data points daily, and serves customers like Pinterest, GitHub, and Xero, with profitable, rapid ARR growth in recent years. DX was acquired by Atlassian, and joining Atlassian will expand resources, accelerate growth and R&D, and deliver greater impact to customers. At DX, the core value is mastery and high performance, with rewards oriented toward those who excel, while outcomes remain influenced by external factors. The role focuses on building and maintaining data pipelines, designing data models for AI Impact Reports and benchmarks, collaborating with research and engineering, ensuring data quality and consistency, supporting ad hoc data pulls, and documenting schemas, logic, and dependencies for self-serve access.

Atlassian supports flexible work locations and hires in any country where we have a legal entity. Customer Success Managers help customers realize value from Atlassian by aligning on strategic goals and delivering scalable methodologies that drive product adoption, solution expansion, and long-term growth. As a CSM, you build relationships across the customer journey, guide complex customers, and act as a trusted advisor to executives and global teams to maximize value throughout the lifecycle. You’ll collaborate with the account team to develop Customer Success Plans, conduct regular check-ins and Executive Business Reviews, and manage post-sales activities with product expertise to address customers’ needs. You’ll identify early risk to mitigate churn, champion the Voice of the Customer for internal feedback, and work across multiple product areas to support adoption of Atlassian solutions.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where the company has a legal entity, giving employees greater control over family, personal goals, and priorities. Atlassian Customer Success Managers (CSMs) help customers realize value from their investment by engaging to align on strategic goals and unlock early and sustained outcomes through standard methodologies at scale that support product adoption, solution expansion, and long-term growth of user bases. As a CSM, you’ll build trusted relationships across the customer journey, guide complex customers through hurdles with proactive, programmatic engagement, and leverage cross-product and cross-solution expertise to support executives, admins, and global teams in adopting and expanding Atlassian solutions. You’ll develop Customer Success Plans with the account team (including the account executive, solution partners, and other Atlassians), conduct regular check-ins and executive business reviews, manage post-sales activity, mitigate churn through early risk identification and escalation in partnership with the Account Associate, and ensure customers receive maximum value. Finally, you’ll act as the Voice of the Customer, providing internal feedback to help Atlassian better serve enterprise customers and drive ongoing adoption and success of the platform among customers.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, allowing employees to balance family, personal goals, and priorities. The company serves over 300,000 customers worldwide, including NASA, IBM, Hubspot, Samsung, Booking.com, Heineken, IKEA, and Coca-Cola, with a mission to unleash every team’s potential through software and drive ongoing revenue growth. Atlassian emphasizes a culture of “play as a team,” where employees support one another, celebrate wins, and share knowledge, working with Atlassian rather than for it. The sales role focuses on building and nurturing relationships with key stakeholders, negotiating complex contracts, and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to ensure customer satisfaction, driven by a hunter mindset and a focus on Fortune 500 opportunities. Responsibilities include developing strategic plans for named accounts or territories, qualifying leads, delivering solutions, forecasting, cross-functional collaboration, staying current on industry trends, traveling as needed, and running strategies to win opportunities across complex sales cycles.

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 and hires globally wherever they have a legal entity. Loom is Atlassian’s async video product for quick, shareable video walkthroughs, integrated with Confluence and enhanced by AI-generated transcripts and summaries via Rovo. Loom users span across time zones, and the product is expanding to improve collaboration between people and AI agents. The Loom Analytics role involves collaborating with cross-functional partners, applying quantitative analysis and experimentation, and using data storytelling to inform strategy and solve business challenges. Responsibilities include defining and testing opportunities to improve products, forecasting and monitoring key metrics, influencing roadmaps with insights, and communicating findings to leadership.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity. - Loom is Atlassian’s async video product that integrates with teams’ tools and syncs with Confluence, offering AI-generated transcripts and summaries through Rovo to preserve context. - Loom is expanding and entering a new phase to broaden how async video helps people and AI agents collaborate across time zones. - Joining the Loom Analytics team means shaping the product’s direction at the intersection of product strategy, customer insight, and experimentation, becoming a trusted strategic partner through clear work. - The role emphasizes applying quantitative analysis and storytelling to develop hypotheses, test opportunities, forecast and monitor key metrics, influence roadmaps, collaborate with cross-functional teams, and communicate insights to leadership.

The role is Principal Data Scientist on Atlassian's Global Experiences Data Science team, reporting to the Manager and focused on shaping user experiences across customer-facing products while delivering high-impact analytics at scale. You will lead the full data science lifecycle—from defining questions and building robust models to influencing product strategy and communicating insights to senior leaders—acting as a force multiplier and collaborating with Product, Engineering, and Design. Responsibilities include defining and driving DS strategy for your product area, translating ambiguous business problems into rigorous analytical frameworks, and owning end-to-end ML development and experimentation infrastructure (including A/B test design and power analysis). You will identify high-impact opportunities through exploratory analysis, mentor junior data scientists, and contribute to hiring while setting technical standards for modeling, code quality, and analytical rigor. You will also translate findings for executives, define metrics frameworks (north star and guardrails), drive adoption of best practices in feature engineering and model monitoring, and promote responsible AI across teams.

As a Principal Data Scientist on the Global Experiences Data Science team at Atlassian, you’ll influence analytics for customer-facing products and report to the Manager of Global Experiences Data Science. You’ll lead the full data science lifecycle—from defining questions and building robust models to shaping product strategy and communicating insights to senior leaders. You’ll collaborate with Product, Engineering, and Design to embed data-driven decision-making, own experimentation infrastructure (A/B design, power analysis, and scaled interpretation), and identify high-impact opportunities through exploratory analysis. You’ll act as the technical authority, setting standards for modeling, code quality, and analytical rigor, and you’ll mentor and develop junior staff, contributing to hiring and capability-building. You’ll translate findings into actionable narratives for executives, define metrics frameworks (north star and guardrail metrics), and drive adoption of best practices in feature engineering, model monitoring, and responsible AI/ML across teams.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally with virtual interviews and onboarding, but this role requires you to be located in the UK or Poland. This is a people-management role within Revenue Operations: Manager of the Deal Desk for the AMER Strategic Sales segment, reporting to the Head of Deal Desk, AMER, and leading a team of Deal Managers and Senior Deal Managers. Responsibilities include leading the quote-to-cash process across Atlassian products, ensuring efficient deal execution, providing strategic advisory to sales, finance, revenue, and legal, mentoring analysts, driving cross-functional projects to improve deal operations, and ensuring compliance with GDPR, revenue recognition, and SOX, while operationalizing new products and packaging/pricing changes. Requirements include at least five years in a B2B SaaS environment in roles such as Deal Desk, Sales Contract Support, or Revenue Operations, at least two years in people management, advanced Excel and deal-shaping experience, willingness to participate in daily video chats, and a BS/BA in Business, Economics, Finance, or Operations; plus knowledge of CPQ/QTC tech and platforms (Salesforce, Oracle Fusion, NetSuite, JIRA/Confluence, Docusign) and experience with deal governance and risk optimization. Atlassian’s culture is open, welcoming, and customer-focused, aiming to help customers compete in the modern digital economy, with a multi-billion-dollar, fast-growing software business serving 300,000+ paying customers and millions of users.

Atlassian supports flexible work arrangements, but this role is remote and requires the candidate to be located in the UK or Poland to enable effective collaboration. It is a people-management role in Revenue Operations, leading the Deal Desk team (Deal Managers and Senior Deal Managers) for the AMER Strategic Sales segment, focused on high-value enterprise deals. Responsibilities include guiding the quote-to-cash process, pricing and terms structuring, contract management, booking, and providing strategic deal advisory across sales, finance, revenue, and legal teams, while mentoring staff and leading cross-functional improvement projects. The role emphasizes operationalizing new products and packaging changes, ensuring client-facing documents comply with GDPR, revenue recognition, and SOX, and aligning with product, strategy, and revenue operations teams. Qualifications include at least five years in a relevant B2B SaaS function, two years of people management, strong Excel skills, familiarity with CPQ/QTC tools and major systems (Salesforce, Oracle Fusion, NetSuite, JIRA, Confluence, DocuSign), experience with deal shaping and governance for complex contracts, and willingness to participate in daily video chats.

Atlassian supports a distributed-first, remote work model, and this role requires being located in the UK or Poland. This is a people-management role in Revenue Operations, leading a team of Deal Managers and Senior Deal Managers for the AMER Strategic Sales segment to handle high-value enterprise deals through the quote-to-cash process. Responsibilities include deal shaping, quoting, terms structuring, financial analysis, contract management, booking, cross-functional projects, and ensuring compliance with GDPR, revenue recognition, and SOX. Requirements include at least five years in a B2B SaaS-related function, two years of people management, strong Excel skills, and experience with CPQ/QTC tech and systems like Salesforce, Oracle Fusion, NetSuite, JIRA/Confluence, and Docusign, plus willingness to join daily video chats. A BS/BA in Business, Economics, Finance, Operations, or a related field is required, along with experience establishing governance for deal reviews and risk-adjusted evaluations.

- Atlassian supports flexible work arrangements and hires globally; this role is remote and requires you to be located in the UK or Poland to help teams work together effectively. - It is a people-management role within the revenue operations organization, the Manager of the Deal Desk for the Strategic Sales segment in AMER, reporting to the Head of Deal Desk, AMER. - You will lead a team of Deal Managers and Senior Deal Managers to support the high-value enterprise deal lifecycle across AMER, covering deal shaping, quoting, terms structuring, financial analysis, contract management, and booking. - Responsibilities include building and managing the team, ensuring efficient quote-to-cash processes, providing strategic deal advisory across sales, finance, revenue, and legal, becoming an expert on Atlassian’s deal capabilities, mentoring, leading cross-functional projects, and ensuring compliance with GDPR, revenue recognition, and SOX. - Requirements include at least five years in a B2B SaaS-related role, at least two years in people management, advanced Excel skills, willingness to engage in daily video chats, a BS/BA, knowledge of CPQ/QTC tools and related software, and experience in deal shaping, negotiations, financial modeling, and governance.

Atlassian offers flexible work options—office, remote, or hybrid—and can hire in any country with a legal entity to support employees’ families and personal goals. The Mid-Market sales team manages a portfolio of mid-sized customers (200-10,000 seats), focusing on cloud-first opportunities, cross-sell and expansion, while nurturing relationships and achieving revenue targets, all while advocating for customers to product and engineering. The role requires close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to guide deployment and utilization of Atlassian at scale, guided by Atlassian values. Responsibilities include owning a book of ~30-40 accounts with a $1.5-3M annual quota, leading cross-functional deal teams as quarterback, and building executive-level relationships across IT, business, and marketing while using MEDDPICC to qualify and win complex opportunities. Additional duties involve negotiating and pricing contracts, sourcing and qualifying leads to maintain a healthy pipeline with accurate forecasting, staying informed on industry trends, and occasional travel for customer meetings and events.

Atlassian offers flexible work locations (office, home, or a mix) and hires people in any country where there is a legal entity to support employees’ personal priorities. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and expansion opportunities, nurturing relationships, and meeting revenue targets while advocating for customers by feeding feedback to product and engineering and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The role owns a book of ~30-40 accounts (200-10,000 seats) with a $1.5-3M annual quota, leads a cross-functional deal team as quarterback, and builds executive relationships across IT, business, sales, and marketing. You will use MEDDPICC to qualify and win complex opportunities, close multithreaded, multi-solution deals through outcome-based selling, negotiate and price contracts, keep a healthy pipeline with accurate forecasting, and collaborate with internal teams to maintain high customer satisfaction. Occasional travel for customer meetings, industry events, and team gatherings is also required.

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 unleashes the potential of every team with Jira, Confluence, and the Teamwork Collections, trusted by millions and guided by a bold, optimistic, practical sense of humor that invites people to help teams do the best work of their lives. The role is a strategic, creative, and data-driven leader who will head the Product Marketing team for Jira, defining Jira’s narrative, running top-of-funnel brand campaigns, onboarding and activating customers, and creating content that drives organic growth and sales enablement. This position is pivotal in how millions discover, learn about, and succeed with Atlassian’s flagship products, requiring close partnership with Product, Brand, Growth, and Analytics to deliver measurable impact and set the standard for product-led growth in SaaS. Atlassian offers flexible work arrangements—office, home, or hybrid—and hires in any country where the company has a legal entity. Responsibilities include leading Product Marketing Managers across the full customer journey, owning Jira’s AI story flywheel, driving top-of-funnel campaigns, overseeing onboarding/activation, building content programs for SEO and thought leadership, aligning cross-functionally, championing experimentation, mentoring the team, and representing the voice of the customer for diverse audiences.