Sr Product Manager, Product Usage (VIRTUAL, WA, US, 00000)

Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, cleaner and more connected future. Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes. The Senior Manager of Product Usage & Insights will act as a single-threaded business and data owner responsible for analyzing how customers interact with the Vivint smart home ecosystem. This role focuses on translating post-launch device telemetry, customer support data, and operational metrics into actionable insights. You will bridge the gap between real-world product performance and future state design, serving as a critical insights engine for core Product Managers. In this role, you will dive deep into device usage patterns, troubleshooting calls, and product issues to identify functional gaps and roadmap opportunities. You will operate cross-functionally to aggregate data across the business, while also spearheading the development of internal AI and data tools to help team members more efficiently understand customer behavior and business trends. Your ultimate mission is to ensure our product teams have the deep data required to evolve features, optimize hardware, and deliver a seamless customer experience. Primary Responsibilities Product Usage Analysis & Diagnostic Insights - Usage Tracking & Behavioral Data: Analyze high-volume device telemetry and behavioral data to understand how, when, and why customers use specific smart home products on a daily basis. - Troubleshooting & Escalation Deep-Dives: Partner with Customer Operations and Technical Support to systematically audit troubleshooting calls, hardware failure rates, and customer friction points. - Gap & Opportunity Identification: Translate real-world product issues and negative customer experiences into clearly defined product gaps, presenting data-backed optimization opportunities to core Product Managers. Roadmap Support & Cross-Functional Data Enablement - Data-Backed Roadmap Input: Support core Product Managers by providing empirical data and usage baselines to inform 1-to-2 year product roadmaps and feature prioritization. - Cross-Functional Collaboration: Operate as the central hub for product insights, collaborating daily with Supply Chain (on hardware reliability), Marketing (on feature adoption), Research (on user sentiment), and Operations (on field issues). - Business Telemetry Modeling: Synthesize disparate data streams into unified, scannable dashboards and operational metrics that accurately reflect the health and performance of the live product portfolio. Internal AI Tool Development & Efficiency - Internal AI Enablement: Lead the conceptualization and deployment of internal generative AI, search, or analytical tools designed to help internal teams query and understand complex product and business data more efficiently. - Insights Democratization: Build automated reporting mechanisms and data repositories that allow non-technical stakeholders to quickly extract trends regarding product usage and operational performance. Required Skills & Functional Dimensions - Analytical Mastery: Exceptional proficiency in data manipulation and statistical analysis. Baseline skills in SQL, data visualization platforms (e.g., Tableau, PowerBI), and Excel are required. - Root-Cause Troubleshooting Mindset: Strong diagnostic instincts with the ability to look past surface-level symptoms in customer support logs to identify underlying firmware, hardware, or software flaws. - Cross-Functional Influence: Proven ability to build strong working relationships and align priorities across diverse corporate functions without relying on direct authority. - Emerging Tech & AI Literacy: Solid understanding of how to apply basic data science workflows or leverage low-code/no-code internal AI frameworks to automate business intelligence. Required Education & Experience - Experience: 4–6+ years of experience in product analytics, business intelligence, operations framework management, or a data-focused product management role. - Ecosystem Exposure: Direct experience working within consumer electronics, IoT, telecommunications, or subscription-based software services is highly preferred. - Cross-Functional Track Record: Demonstrated success aggregating data from operations, supply chain, or customer support teams to drive business or product changes. - Education: B.S. or M.S. in Data Analytics, Business Statistics, Finance, Information Systems, or a related quantitative discipline; equivalent practical analytical experience considered. The base salary range for this position is: $155,000.00 - $190,000.00* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf) Official description on file with Talent.