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NetApp is seeking an experienced and results-driven Senior Product Manager, Monetization to join our dynamic Cloud Storage & Services Business Unit. In this role, you’ll have the unique opportunity to shape impactful monetization strategies that drive business success while maintaining alignment with long-term strategic objectives. By collaborating effectively with cross-functional teams, you’ll lead initiatives from inception to execution with a focus on delivering measurable results.
Job Responsibility:
Drive the end-to-end execution of product initiatives by partnering with cross-functional teams (engineering, operations, marketing, sales and customer success) to ensure seamless rollout of new models, feature bundles, and market offers
Develop product enhancements and packaging options that elevate the customer value proposition and resonate with target enterprise segment
Requirements:
5+ years leading integrated Hardware & Software products strategy, including release management, field-reliability feedback, and compliance/readiness for enterprise customers aligning organizational priorities and the needs of customers.
3+ years driving multi-year product transformations for technical products (platform modernization, cloud/hyperscaler migrations, or pricing model shifts etc.) with operating-model design, OKRs & KPI governance, and executive stakeholder alignment.
Experience working directly with hyperscalers to leverage co-marketing strategies and deploy advanced AI/ML solutions.
Experience applying AI based solutions to conduct user interviews, run experiments, simplify customer experience and define innovative monetization/growth strategy
2 years of post-MBA experience owning the creation and implementation of long-term product strategies with an engineering background
Expertise in owning and driving roadmap strategy, definition, and execution.
Demonstrated ability to lead end-to-end product delivery processes effectively
Experience in the cloud storage and services industry is preferred
Advanced analytical skills with the ability to dive into product usage data and experiment results. Familiarity with data analysis tools (e.g., Python, Excel) and experience with statistical analysis and A/B testing frameworks is a must
Bachelor's degree in Engineering with a STEM focused MBA preferred.