Sr Product Manager, Product Lifestyle

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. Job Title: Sr. Product Manager, Product Lifecycle The Sr. Product Manager, Product Lifecycle will act as the single-threaded business owner for product financial rigor and lifecycle sunset strategy within the Product Lifecycle organization. Reporting to the Director of Product Roadmap, this role bridges product decision-making and financial discipline, ensuring that every device and software feature in the Vivint portfolio is evaluated, priced, and eventually sunset based on rigorous, standardized unit economics. This is a foundational, 0-to-1 role. You will build the first standardized Product P&L framework used across the product organization, and you will stand up Vivint's first generalized End-of-Life (EOL) process from the ground up. You will partner closely with Supply Chain, Sales, Finance, and core Product Managers to ensure that pricing, component cost, and sunset decisions are grounded in data rather than instinct, and that product leadership always has a clear, current view of financial health across the live portfolio. Primary Responsibilities Product P&L & Unit Economics P&L Standardization: Design and roll out a standardized profit-and-loss framework that product teams can use consistently to evaluate the cost, margin, and profitability of any device or software offering. Component & Pricing Strategy: Partner with Supply Chain and Sales to align component costs and sales pricing to margin targets, ensuring pricing decisions are backed by defensible financial data. Financial Performance Monitoring: Build and maintain the mechanisms that track ongoing product financial performance, including margin health, warranty drag, and upgrade subsidy costs, flagging deviations to product and finance leadership. Business Case Development: Partner with the Director of Product Roadmap and core Product Managers to build rigorous, data-backed business cases for new investment, extension, or sunset decisions. EOL Strategy & Process EOL Process Design: Own the end-to-end design of Vivint's first standardized, cross-functional End-of-Life process, including trigger criteria, governance and approval steps, and a repeatable sunset playbook for hardware and software. Legacy Portfolio Assessment: Partner with the Roadmap team to assess the current live and legacy device fleet, using financial modeling to identify and prioritize EOL candidates. Upgrade & Migration Economics: Model the financial tradeoffs of customer upgrade paths and subsidy structures, balancing customer retention costs against margin recovery. Cross-Functional Rollout: Partner with Sales, Customer Support, and Marketing to build the operational playbook needed to communicate and execute product sunsets smoothly. Required Skills & Functional Dimensions Financial Modeling Mastery: Exceptional proficiency building P&L models, margin analysis, and unit economics; advanced Excel or equivalent modeling tools required. Process Design Mindset: Proven ability to build a 0-to-1 process or framework from ambiguity and drive adoption across a cross-functional organization. Cross-Functional Influence: Strong track record building trust and aligning priorities across Finance, Supply Chain, Sales, and Product without relying on direct authority. Data Fluency: Comfortable working with large, complex data sets to support financial modeling; working knowledge of SQL or BI tools (e.g. Tableau, PowerBI) is a plus. Required Education & Experience Experience: 6-8+ years of experience in product finance, FP&A, business operations, or a finance-focused product strategy role, ideally within consumer electronics, IoT, or subscription-based hardware businesses. Lifecycle Exposure: Direct experience building or significantly maturing a product P&L framework, pricing model, or end-of-life/lifecycle process is highly preferred. Cross-Functional Track Record: Demonstrated success partnering across finance, supply chain, and product teams to influence pricing, margin, or portfolio decisions. Education: B.S. or M.S. in Finance, Business, Economics, or a related quantitative discipline; MBA preferred. Job Functions: Position requires in-office presence in Seattle, WA on a hybrid schedule for Monday, Tuesday, Wednesday, and Thursday with a work from home day on Friday. The position will start remote and then will move into the hybrid schedule. The base salary range for this position is: $155,000 - $170,000* *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/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. Official description on file with Talent. We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.