Jobs at Atlassian

Lead the technical evolution and long-term architecture of Jira Data Management. Drive enterprise-scale data movement, governance, resiliency, reliability, performance, security, and observability initiatives. Own a 12–24 month platform roadmap, lead major architectural programs from strategy through delivery, conduct design and incident reviews, solve high-risk technical problems, and mentor senior and principal engineers across Jira Platform.

Own India’s regional marketing strategy and pipeline target, partnering with sales and central marketing teams to drive demand, campaigns, events, ABM, partner initiatives, and localized content. Diagnose performance gaps, use market intelligence and campaign data to optimize investment, translate Atlassian’s AI and platform story for local audiences, and report regional performance. The role requires strategic ownership, cross-functional influence, AI fluency, and strong B2B SaaS marketing experience.

Lead post-sales technical implementations for enterprise customers, including onboarding, integrations, system architecture, workflow configuration, and deployment strategy. Design custom solutions using APIs and complex client environments, advise customers on developer experience analytics and engineering practices, lead technical workshops, and translate architecture into business value. Partner with Customer Success, Product, and Engineering teams while synthesizing customer feedback to influence the product roadmap.

Principal Machine Learning Engineer responsible for setting technical direction and building production-grade AI systems for Confluence. The role spans model evaluation, retrieval, ranking, prompt and workflow design, experimentation, reliability, and customer-facing AI product development. Responsibilities include making architectural decisions, partnering across engineering and product teams, mentoring engineers, identifying model and product failure modes, and delivering scalable AI experiences across content creation, editing, discovery, recommendations, and multimodal interaction.

Prospect, qualify, and close net-new enterprise SaaS opportunities across defined U.S. territories. Own the full sales cycle, conduct demos and proof-of-concept engagements, develop business cases, forecast accurately, and guide buyers through complex evaluations. Build trusted relationships with technical and executive stakeholders, provide customer and market feedback, and help establish strategic sales processes for the U.S. region.

Own the full enterprise SaaS sales cycle across defined U.S. territories, from prospecting and qualification through negotiation and close. Build strategic pipelines, run demos and proof-of-concept discussions, forecast accurately, and guide buyers through complex evaluations. Develop trusted relationships with technical and executive stakeholders, provide customer and market feedback, and help establish the U.S. strategic sales hub and cross-functional processes.

Prospect, qualify, and close net-new enterprise SaaS opportunities across assigned territories. Own the full sales cycle, lead demos and proof-of-concept engagements, develop business cases, negotiate proposals, and forecast pipeline accurately. Build trusted relationships with technical and executive stakeholders, guide complex buying processes, gather customer and market feedback, and help establish strategic sales processes and a US hub.

Develop and scale digital and agentic customer success programs that improve product adoption and retention. Coordinate messaging across email, in-app, community, learning, AI agents, and human channels. Partner with Product, Data Science, Marketing, and Customer Success to use product signals, optimize content distribution, enable expansion, and connect digital experiences with frontline teams. Lead experimentation and cross-functional change through data-backed hypotheses and continuous improvement.

Leads and develops an enterprise sales team to exceed revenue targets. Acts as a player-coach in strategic demos and negotiations, establishes disciplined sales processes, manages forecasting and CRM hygiene, analyzes funnel performance, delivers coaching and training, informs go-to-market improvements, and recruits top talent. Requires extensive B2B SaaS enterprise sales experience, quota success, complex sales-cycle expertise, and familiarity with modern sales tools.

Lead technical engagement for complex enterprise sales cycles across strategic UKI accounts. Conduct customer discovery, deliver tailored product demonstrations, develop proof-of-concept environments, lead workshops, address technical objections, and connect Atlassian solutions to business goals. Collaborate with sales, channel partners, product teams, and account stakeholders to drive transformation deals, identify expansion opportunities, communicate competitive differentiators, and improve pre-sales engagement methods.

Lead post-sale technical implementations for enterprise customers, including onboarding, integrations, architecture, and custom API-based solutions. Conduct technical workshops, translate engineering needs into business outcomes, advise on developer experience analytics and deployment practices, and manage technical delivery across multiple implementations. Capture customer feedback and collaborate with Product and Engineering teams to influence the DX product roadmap.

Build and scale AI-powered workflows, agents, copilots, and internal tools for SDR prospecting, prioritization, coaching, forecasting, and pipeline creation. Partner with Sales, RevOps, Engineering, Marketing, Enablement, and governance teams to translate business needs into secure, reliable products. Lead experimentation, integrations, adoption, guardrails, and measurement of productivity, conversion, pipeline, and manager-leverage outcomes.

Own and expand strategic state and local government accounts across the Western U.S. Build customer relationships, develop account plans, drive enterprise SaaS sales, and coordinate cross-functional teams including channel partners and solutions engineers. Guide customer engagement, demonstrate value, support cloud transitions, and provide feedback to product and engineering leadership. The role requires deep public sector procurement knowledge and experience selling software to government agencies and higher education institutions.

Leads and develops Strategic Account Executives to exceed revenue targets. Serves as a player-coach in strategic demos and negotiations, enforces pipeline and forecasting discipline, analyzes funnel performance, and delivers coaching and sales training. Partners with Product and Marketing on go-to-market improvements, recruits and onboards talent, and builds a high-performing sales culture.

Serve as a pre-sales solutions expert for Atlassian’s LATAM mid-market business. Partner with sales teams, conduct customer discovery, identify business needs, map problems to Atlassian solutions, lead customized demonstrations, and guide technical evaluations. Build executive and technical relationships, identify expansion opportunities, communicate product value, track customer feedback and competitive intelligence, and collaborate with product management and account executives to support successful sales outcomes.

Provides centralized sales operations ticket support, resolves requests within SLAs, ensures policy compliance and data integrity, and supports SDR and SE teams. Analyzes ticket trends and process health, identifies operational bottlenecks, develops scalable automations, delivers reporting and leadership insights, and contributes to cross-functional go-to-market initiatives and process implementations.

Lead Advisory Services engagements for strategic and enterprise clients using Atlassian solutions. Serve as the primary client contact, manage scope, resources, projects, and programs, accelerate time to value, monitor outcomes, and identify expansion opportunities. Build long-term client relationships, communicate value, and collaborate with internal Atlassian teams to deliver solutions. Travel domestically and internationally up to 30% of the time.

Lead the design and delivery of scalable machine learning systems and customer-facing generative AI applications for Rovo Chat. Build agent harnesses that improve quality, reliability, and latency; advance state-of-the-art AI capabilities; lead engineers through technical design and launch; and collaborate cross-functionally with teams and internal customers. The role also involves applying a deep understanding of the machine learning project lifecycle and supporting platform-based product development.

Manage centralized sales operations ticket requests, resolve issues within SLAs, ensure policy compliance and data integrity, and support Sales Operations Manager teams serving SSE and AM functions. Analyze ticket volumes and operational metrics, identify bottlenecks, automate processes, deliver reporting and insights, and support cross-functional go-to-market initiatives and implementations.

Lead machine learning architecture and technical direction across multiple quarters while remaining involved in experimentation, quality, and production systems. Work across model post-training, personalization and recommendation, and agentic experiences. Define solutions for ambiguous problems, align cross-functional partners, drive execution, and safely bring ML systems into production.