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Head of Service Enablement
Head of Service Enablement-August 2024
San Francisco
Aug 26, 2025
ABOUT ATLASSIAN
Atlassian builds enterprise software that helps every member of every team and department stay on track, on point, and on top of their game. Atlassian develops products geared towards software develop
10,000+ employees
Technology
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About Head of Service Enablement

  Atlassians have flexibility in 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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

  Atlassian seeks a senior leader to head a global team of Service Enablement Engineers and Data Scientists/Analysts. The team aims to minimize customer friction and develop innovative solutions by influencing Atlassian products, tools, processes, and supportability to increase customer support efficiency and deliver high-quality customer experiences. You will be a customer's voice for Engineering and Product Management. Through data-driven analysis and a deeper understanding of the customer, you and your team will partner with Engineering and Product Management executives to identify opportunities for enhancing products, tooling, community, partner engagements, and customer support experiences throughout Atlassian.

  Compensation

  At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

  Zone A: $220,400 - $293,800

  Zone B: $198,300 - $264,400

  Zone C: $182,900 - $243,900

  This role may also be eligible for benefits, bonuses, commissions, and equity.

  Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

  What you'll do

  You will lead a global team of 35+ highly tenured and experienced Service Enablement Engineers and 10+ data scientists. As the leader, you will coach and mentor senior managers and leaders within the team. Your responsibilities include overseeing organizational design, scaling, and resource allocation for short-term and long-term goals.You will partner with senior engineering and product management executives to influence changes or highlight opportunities in products, tooling, and strategy through data-driven analysis of customer friction.As a leader with a background in SaaS engineering and product management and knowledge or experience in data engineering and data science/analytics, you will guide the team on best practices, and industry standards for Cloud products and supportability.You will develop business-specific presentations, communications, and monthly/quarterly reviews for senior leadership across the company to help create awareness, influence strategies and make effective decisions.You will build a shared vision and goals with R&D organizations, empower the team, and deliver high-quality outcomes.

  An executive with 15 to 20 years of experience in engineering or product management roles.Leader of leaders with experience in working with senior executives of the organization.Success at managing large global and remote teams.Successfully led initiatives from start to finish, including developing a vision, influencing strategies, unlocking and allocating resources, and overseeing the roadmaps and execution of plans.Strong technical background in SaaS engineering and Cloud.Success at building a culture of data-informed decision-making, fast learning, and new ideas.Experience in data architecture, data science, and data engineering is a plus.

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