Top Tech Jobs & Startup Jobs

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 DX's APAC marketing presence by owning regional account-based programs, executive events, localized messaging, webinars, and experimentation. Partner closely with AEs, demand gen, events, and product marketing to drive pipeline and adapt global campaigns for APAC.

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.