Jobs at Atlassian

Own strategic enterprise accounts, develop territory and account plans, drive expansion and retention, build C-level relationships, lead complex negotiations, and close high-value software sales. The role requires coordinating cross-functional teams and channel partners, forecasting performance, researching market opportunities, and positioning solutions to customer objectives. Travel may be required for client meetings, events, and conferences, with responsibility for mentoring junior sales team members when applicable.

Lead technical pre-sales engagements for large LATAM enterprise customers. Partner with account teams and channel partners, conduct Spanish-language discovery sessions and demonstrations, advocate for Atlassian Rovo and Teamwork Graph, architect customized solutions, and translate complex business challenges into measurable customer value. Build executive relationships, influence cross-functional teams, provide market feedback to Product Management, and support complex, high-stakes enterprise deals.

Provides strategic and technical guidance to enterprise customers using Atlassian products and solutions. Partners with stakeholders to address business challenges, improve enterprise agility, map operating practices to product capabilities, and implement strategy and planning tools. Creates prescriptive solution content, supports adoption and enablement, advocates for customer needs internally, and identifies expansion opportunities. The role requires significant SaaS and customer-facing experience, expertise in enterprise strategy and Agile tools, AI integration familiarity, and up to 30% travel.

Lead Atlassian’s Commercial Solutions Engineering team for the DX product. Manage technical advisors who support sales efforts, provide technical guidance to customers, and help drive product growth. The role is remote and based in New York, with work eligibility limited to countries where Atlassian has a legal entity.

Principal Software Engineer responsible for owning customer-facing products end to end, leading technical strategy, architecting large-scale distributed systems, and delivering AI-native experiences. The role involves full-stack implementation, product strategy, system design, code reviews, reliability, testing, telemetry, security, performance, and mentoring engineers. Candidates must have extensive experience building and operating large-scale systems and strong product, UX, communication, and collaboration skills.

Lead Atlassian’s TDP SQL engineering team, owning people leadership, platform strategy, roadmap execution, reliability, security, compliance, incident response, technical direction, cross-functional dependencies, infrastructure economics, and operational outcomes. Build a high-performing organization and evolve a scalable managed relational database platform across multiple cloud environments while supporting enterprise requirements such as data residency, encryption, disaster recovery, and tenant isolation.

Manage the full enterprise customer lifecycle, including implementation, adoption, success planning, renewals, and expansion. Partner with customers to drive engineering transformation, business alignment, and high-value use cases. Forecast renewals, identify risks, conduct executive discussions, discover growth opportunities, collaborate cross-functionally, and track account metrics to improve customer outcomes.

Lead adoption of Atlassian’s Teamwork Graph platform by developing positioning, messaging, go-to-market strategy, onboarding programs, enablement, and activation initiatives. Translate complex platform, data, and AI concepts for technical and business audiences, collaborate with Product, Engineering, Sales, and Customer Success, measure adoption analytics, optimize engagement programs, and represent the platform externally.

Serve as strategic legal counsel to product and engineering teams on AI/ML, data governance, intellectual property, regulatory, and platform issues. Develop scalable legal frameworks and launch checklists for AI product innovation, act as the primary legal partner for product initiatives, collaborate with legal subject-matter experts, and help build the Product Counsel function’s operating model and culture.

Drive complex, end-to-end sales cycles for Atlassian’s Teamwork Collection across mid-market and enterprise accounts. Partner with Account Executives, Solutions Engineers, Deal Operations, and Customer Success to expand multi-product adoption, upgrade customers to Cloud Enterprise, lead collaboration deployments, and displace competing point solutions. Focus on organization-wide adoption across Marketing, HR, Operations, Finance, and PMO teams.

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.

Design, build, and operate scalable, low-latency search and retrieval systems powering Atlassian products. Develop and serve production ML models (neural rankers, embeddings, rerankers) using PyTorch and Triton. Implement vector indexing and RAG/agentic retrieval pipelines, ensure observability and cost optimization, manage on-call/runbooks, and collaborate cross-functionally while mentoring junior engineers.

Develop and deploy machine learning and LLM capabilities for agentic search, query understanding, search planning, and retrieval. Build evaluation datasets, improve model behavior through experimentation and fine-tuning, and optimize quality, latency, cost, and reliability. Collaborate across search, product, infrastructure, and AI teams while owning projects through production and mentoring engineers.

Leads a team of 10–15 software engineers responsible for Atlassian Government Cloud release infrastructure and processes. Owns release planning, readiness, go/no-go decisions, cutover, verification, rollback, incident escalation, and compliance. Defines a multi-quarter roadmap covering trunk-based development, feature flags, progressive rollouts, automated gates, and rollback automation. Partners across engineering, product, QA, SRE, security, and compliance while coaching team members and improving release reliability.

Leads enterprise and strategic sales for Atlassian’s Teamwork Collection, managing specialists, setting revenue strategies and targets, coaching and recruiting sales professionals, analyzing performance, developing executive relationships, and collaborating with account teams, partners, and solution engineers. The role requires consultative, value-based selling expertise, SaaS leadership experience, and knowledge of teamwork workflows, software delivery, and enterprise AI applications.

Manage the full customer lifecycle, including implementation, adoption, success planning, renewals, and expansion. Partner with customers to drive engineering transformation, align business goals, develop high-value use cases, and integrate DX into workflows. Track account metrics, forecast renewals, address risks, lead executive discussions, and collaborate cross-functionally to improve customer outcomes.

Provide strategic technical guidance to enterprise and public sector customers using Atlassian Data Center and Cloud solutions. Advise stakeholders on architecture, migrations, integrations, upgrades, security, adoption, and transformation. Create technical solution content, promote service and product expansion, advocate for customer needs internally, and collaborate across Sales, Product, Support, and Advisory Services. The role requires up to 30% domestic and international travel.

Leads and develops software engineering teams responsible for customer acquisition, experimentation, personalization, and SEO/AEO features. Owns delivery outcomes, prioritization, technical strategy, architecture, system resilience, engineering excellence, and team health. Partners with product managers, TPMs, designers, and recruiting teams while guiding distributed systems, cloud infrastructure, developer tooling, and applied AI/ML initiatives.

Lead global mid-market sales performance and revenue growth for Atlassian’s Teamwork Collection. Develop operating plans, strategic sales plays, inspection rhythms, and scalable go-to-market execution. Partner across sales, SDR, channel, demand generation, product, and marketing teams to increase pipeline, accelerate deal velocity, and expand market presence. Enable account executives and sales managers through field readiness, onboarding, and clear positioning of collaboration and AI solutions.

Lead the technical direction for Atlassian’s Search Serving platform, building globally scalable, low-latency agentic search systems. Own architecture for retrieval, indexing, query processing, and ML inference while improving quality, reliability, scalability, operability, and cost. Establish production ML practices for evaluation, experimentation, observability, rollouts, and incident response. Optimize inference for embedding, retrieval, and ranking models, and lead cross-team initiatives while mentoring senior engineers and aligning technical leaders.