Senior Customer Success Architect (AI)

Working at Atlassian
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What you'll do
In this role, you'll be part of the Customer Success Architect (CSA) team within the Sales and Success department, focusing on the adoption of Atlassian's AI platform, Rovo. As a Senior CSA (AI), you'll lead time-boxed, co-built technical engagements that take customers from "Rovo is turned on" to real, measurable business value in production, and own the methodology that makes those engagements repeatable and scalable. You'll partner directly with enterprise teams on the most complex activations, while also building playbooks, running internal enablement, and maintaining the relationship with Rovo Product and Engineering. Your role bridges deep AI and Atlassian platform expertise with customer success leadership, focusing on measurable adoption outcomes at both the individual engagement and program level.
We're hiring a Senior CSA (with an AI focus) to join our Customer Success Architect team, reporting to a regional leader. You lead through domain expertise, playbook ownership, and internal enablement, not through direct reports. Atlassian Senior CSAs are technical experts with Atlassian solutions, delivering guidance to drive value realization and adoption. They partner with Pre-Sales, Post-Sales, and Product teams to provide solutions and technical guidance to help customers achieve their desired outcomes and goals.
You'll help our strongest promoters showcase their successes to their peers and serve as the tip of the spear in expanding the reach of AI and the Atlassian System of Work into new use cases and markets. As a Senior CSA (AI), you aim to help enterprise customers get the most out of their Atlassian investment.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
On your first day, we'll expect you to have:

• Discovery. Facilitate use case discovery workshops with customer teams to identify high-impact, high-value AI opportunities. Understand their workflows, pain points, and where Rovo agents and search can deliver measurable outcomes. Lead the most complex engagements: large enterprises with multiple stakeholder groups, cross-functional AI strategies, and high-visibility use cases.
• Design. Co-build custom Rovo agents and configure third-party connectors alongside customer teams. Customers are hands-on keyboard. Design solutions tailored to their workflows using the Atlassian platform (Jira, Confluence, Rovo Studio).
• Deploy. Guide customers from sandbox to production. Validate that agents are performing, connectors are flowing data, and teams are enabled to iterate and scale independently post-engagement.
• Enable. Own the engagement methodology. Build and iterate the playbooks the AI pod follows. Onboard and train new team members on Rovo capabilities, product changes, and engagement standards.
• Bridge Product & Field. Maintain the working relationship with Rovo Product and Engineering. Synthesize field signals into structured product feedback that influences roadmap priorities.
• Collaborate. Work with Account Teams and Customer Success Managers to plan customer-specific activation journeys and hand off for sustained growth.
• Advocate. Meet with Rovo Product, Engineering, and AI teams to surface product friction, share field patterns, and improve the adoption motion.
• Travel up to 15% domestically and internationally for events and customer meetings.

Your background

• Customer Success & Experience: 7-10+ years in Customer Success, AI consulting, or technical advisory roles, managing Enterprise customers with complex SaaS portfolios. Experience technically leading or mentoring a team without formal management authority.
• Technical Aptitude: Demonstrated expertise with AI platforms, the Atlassian ecosystem (Jira, Confluence, Rovo), and technical product demos. Deep experience building AI agents, prompt engineering, and configuring integrations between enterprise knowledge sources and AI systems. Hands-on experience helping organizations adopt and operationalize AI tools in production environments at scale (10,000+ users). Familiarity with LLM-powered architectures and agentic workflows.
• Solution Area Expertise: Deep expertise in enterprise workflows across product development, IT service management, or business operations. Experience designing AI-powered solutions for incident response, backlog management, knowledge discovery, and cross-team collaboration. Strong understanding of third-party connector ecosystems (Google Drive, SharePoint, Slack, GitHub, etc.) and how to integrate organizational knowledge into AI systems.
• Product Mindset & Communication: Strong product mindset with a track record of building playbooks, methodologies, or enablement programs that others adopt and scale. Comfortable owning problems end-to-end from discovery to deployment. Effective communicator who can influence executive stakeholders and translate AI capabilities into business outcomes for non-technical audiences. Delivers durable solutions but can quickly prototype when needed.

Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.