Head of Paid Acquisition
San Francisco - United States - San Francisco, California 94104 United States; Remote - Remote
Overview
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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Responsibilities
Job Overview:
As the Director of Paid Acquisition, you will be responsible for leading and executing a strategic, multi-channel paid acquisition strategy. You will own the performance of paid channels such as search (Google, Bing), paid social (LinkedIn, Facebook, Twitter), display, programmatic, and retargeting, while working closely with cross-functional teams like product marketing, growth, data, and brand. Your goal will be to fuel product adoption and revenue growth in a cost-efficient manner, leveraging the strengths of our product-led model to build a sustainable and scalable acquisition engine.
Key Responsibilities:
Strategy & Leadership:
Own and develop the global paid acquisition strategy across multiple channels (search, social, display, programmatic and video).
Drive customer acquisition, lead generation, and revenue growth through performance marketing campaigns
Collaborate closely with product, sales, growth, and data teams to align acquisition strategies with the product-led growth model.
Lead, mentor, and grow a high-performing team of paid acquisition specialists, providing guidance on best practices and innovation.
Manage a multi-million-dollar ad budget, optimizing for customer acquisition cost (CAC) and return on investment (ROI).
Campaign Execution & Optimization:
Plan, execute, and optimize large-scale paid campaigns across platforms (e.g., Google Ads, LinkedIn Ads, Facebook Ads, Twitter Ads, etc.).
Develop and implement A/B tests, landing page optimization and creative experimentation to maximize conversions and ROI.
Continuously optimize media spend based on performance data, adjusting for maximum efficiency and scalability.
Analytics & Reporting:
Analyze campaign performance metrics (LTV, Cost Per Acquisition) to drive continuous improvement and optimization.
Develop comprehensive reports and dashboards that measure the success of paid efforts, highlighting key trends, insights, and recommendations.
Collaborate with the data science team to refine attribution models, measure true acquisition impact, and improve multi-touchpoint attribution.
Monitor industry trends and advancements in paid media to stay ahead of the curve in campaign strategies and tactics.
Cross-Functional Collaboration:
Partner with content, SEO, and brand teams to ensure a consistent message and user experience across channels.
Work with product teams to optimize the user journey and conversion points to increase activation and reduce churn.
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Bonuses Commissions Competitive compensation Equity Flexible work location Health coverage Paid volunteer days Remote-first company Support for personal goals Variety of perks Virtual onboarding Wellness resources
Tasks- Analyze campaign performance
- Analyze performance metrics
- Collaborate with cross functional teams
- Optimize campaigns
A/B Testing Analytical Analytics Audience Segmentation B2B Marketing B2B SaaS Best Practices Campaign Execution Campaign Optimization Collaboration Communication Continuous Improvement Cross-functional Collaboration Data-driven decision making Data Science Design Experimentation Facebook Ads Go Google Ads Growth Marketing Innovation Leadership Lead Generation LinkedIn Ads Marketing Marketing Analytics Mentoring Onboarding Performance Performance Marketing Performance Metrics Product Adoption Product Marketing Programmatic Advertising Revenue growth SaaS Sales Scalability Segmentation SEO Strategy Team Collaboration User Experience
Experience10 years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9