Senior Solution Consultant, Teamwork Foundations + AI at Atlassian
- Company
- Atlassian
- Employment type
- Full-Time
- Location
- Americas
- Posted
- 2026-08-12
About this role
Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Your future team The Atlassian Advisory Services team is a globally distributed team of Atlassian experts who are passionate about creating customer success. Advisory Services team members engage with our largest strategic and enterprise organizations with some of the most complex business challenges to help them deliver delightful solutions to their users. We provide customer teams with trusted advisors to help orchestrate successful outcomes, providing the highest benefits from their Atlassian investment. At Atlassian, you'll have an impact on millions of users, fast! We don't just want to know your opinions; we want to see your ideas in action. We hire great people and then trust them to be great. We're hiring a Senior Solutions Consultant with a Teamwork Foundations + AI focus to join our Advisory Services Delivery team as an individual contributor - this is not a managerial role. Atlassian Solutions Consultants are experts in Atlassian products, practices, and solutions, delivering guidance to drive value realization for clients that have purchased Advisory Services from Atlassian. Each member of the team is accomplished at delivering performant strategic technical guidance at scale, aligning product capabilities with business needs and desired outcomes. In This Role You Will: Help our strongest promoters showcase successes to their peers, and serve as the tip of the spear in growing the reach of our technologies for new use cases and markets. Create technical solution content and prescriptive guidance to support customer goals and outcomes in one or more Atlassian solution areas Partner with non-customer-facing teams across Atlassian to advocate for customer needs and innovative solutions that address their business drivers 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. 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 . In The Americas , we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A : $159,300 - $207,975 Zone B : $143,370 - $187,178 Zone C : $132,219 - $172,619 Your Background: 6-8 years of experience within SaaS companies 5+ years of experience in customer-facing roles where you’ve engaged with and influenced customer stakeholders that range from technical administrators to executive leadership Demonstrated expertise in Teamwork Foundations, including Experience driving effective team communication and project management with collaboration tools using foundational tools in Atlassian’s Teamwork Collection – Jira, Confluence, Loom, and Rovo Experience with popular best-in-breed products in the Teamwork / Collaboration space and Atlassian ecosystem that support enterprise-wide collaboration Proven ability to implement and optimize teamwork methodologies and tools that align with organizational goals, and enhance team productivity and cohesion Demonstrated capacity for writing goals, identifying strategies and uncovering metrics within complex organizations Demonstrated expertise in Artificial Intelligence, including Familiarity with Atlassian’s Rovo platform, and ways in which Agents are implemented and deployed Background in large language…
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