Senior Lifecycle Growth Manager
Owner.com
Tableau
User Acquisition Manager
Ruby Labs
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
RubyTableau
About the role
- Develop and implement strategies to continuously improve return on ad spend (ROAS).
- Identify opportunities to scale successful campaigns while maintaining or improving efficiency.
- Conduct deep analysis of campaign performance metrics.
- Leverage Tableau, Google Ads reporting, and other tools to extract insights.
- Translate data into actionable strategies and tactical decisions.
- Design and implement optimal campaign/account structures.
- Continuously test and refine ad copy, landing pages, bidding strategies, and targeting.
- Run A/B tests to identify scaling opportunities.
- Oversee and optimize campaigns across Google, while testing new growth channels such as Bing, Twitter/X, LinkedIn, and YouTube.
- Allocate budgets effectively across platforms based on performance and growth potential.
- Stay updated on platform changes and new features, adapting strategies accordingly.
- Collaborate with leadership to establish acquisition goals, KPIs, and budgets.
- Build and execute comprehensive user acquisition strategies aligned with company objectives.
- Partner with creative teams to develop high-performing ad creatives and provide data-driven feedback.
- Identify funnel leakages and propose high-impact experiments to improve efficiency.
- Partner with data, product, and growth teams to ensure cohesive acquisition efforts.
- Collaborate closely with leadership on budget planning and reporting
Requirements
- 4+ years of experience in user acquisition for subscription-based products (web-web or web-app).
- Proven track record of scaling performance marketing campaigns, with Google Search Ads expertise required.
- Hands-on experience managing 7-figure monthly advertising budgets and scaling them profitably.
- Experience testing and scaling new channels (Bing, Twitter/X, LinkedIn, YouTube) strongly preferred.
- Advanced skills in campaign analysis, attribution, and optimization.
- Strong ability to analyze complex datasets and extract actionable insights.
- Data-driven mindset with structured experimentation skills.
- ROI-focused, with a proven ability to maximize efficiency at scale.
- Self-motivated, proactive, and able to work independently.
- Strong project management skills to handle multiple campaigns in parallel.
- Excellent communication skills to collaborate with cross-functional teams.
- Ability to translate performance results into clear insights for leadership.
- English proficiency (selectable levels listed in form from B1 to C2).
