Job Overview
Our client is seeking a Growth Manager and Value Leader to join their team onsite in Mountain View CA. Responsibilities:
- Translate journey insights into targeted cross-sell opportunities that would be delivered in partnership w/ Product, Commercialization, GTM and other key partners
- Define technical requirements for personalization initiatives & experiments to guide users through a value ladder, increasing their engagement and utilization of relevant ecosystem features
- Partner closely with Data Science, Engineering, Commercialization, Go-To-Market, Analytics, and Product teams to build and scale these growth levers
- Increased Cross-Sell Conversion Rates: Drive measurable improvements in the rate at which users adopt certain offerings and vice-versa
- Optimized Customer Pathways: Develop and refine in-product pathways that effectively move customers towards higher-value actions and deeper ecosystem engagement
- Improved Funnel Metrics: Show clear improvements in activation, engagement, and conversion rates at critical points in the ecosystem journey
Requirements
- Experienced Growth Professional (Technical Focus): Typically 5+ years in a role focused on driving growth through data-driven experimentation and technical initiatives (e.g., leading growth experimentation programs, technical growth marketing, or a similar role focused on in-product optimization and personalization) within a consumer tech or FinTech company
- Technical Aptitude & Systems Thinking: Strong understanding of how digital products, data systems, and marketing technology work together to deliver personalized experiences; Ability to effectively collaborate with engineering and data science teams to define requirements and implement solutions
- Cross-Sell & Personalization Experience with Experimentation and Data Science Expertise: Demonstrated success in developing and implementing cross-sell strategies and personalized in-product experiences; Proven experience in designing and running A/B tests and other experiments, analyzing results, and iterating quickly; Proficiency with self-serving analytics and ML tools to decipher personalization experiment
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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