Note: The job is a remote job and is open to candidates in USA. NRG Energy is a leader in smart home solutions, focusing on creating a smarter, cleaner, and connected future. The Senior Director of Product Management for AI Experiences will lead the transformation of smart home hardware into an intelligent ecosystem, overseeing the development of innovative AI-driven experiences and managing a team of Technical Product Managers.
Responsibilities
- Own the definition, multi-year sequencing, and execution of the AI experience roadmap across the entire Vivint and NRG smart home portfolio
- Develop a comprehensive 3-year product roadmap rooted in a deep technical understanding of emerging AI/ML capabilities, translating future technological vectors into immediate, high-value customer benefits
- Autonomously identify, scope, and validate "white space" opportunities to deploy net-new, disruptive AI experiences that shift the smart home from a reactive state to an ambient, proactive state
- Serve as the strategic thought leader on how disparate hardware endpoints (cameras, panels, sensors) and cloud platforms can leverage unified machine learning models to act as a singular, cohesive system
- Author high-quality, data-driven narrative documents (PRFAQs, Working-Backwards documents, and 3-Year Operating Plans) to align senior executive leadership (VP+) on high-stakes AI investments, algorithm training requirements, and data privacy policies
- Define and scale cross-organizational mechanisms to continuously monitor model performance, customer usage telemetry, and behavioral data to rigorously refine and iterate on shipped experiences
- Directly manage, mentor, and scale a lean team of high-performing Technical Product Managers, fostering a deep culture of technical excellence, algorithmic rigor, and extreme customer-centricity
- Operate independently to influence, unblock, and align a highly cross-functional, multi-disciplinary organization spanning Data Science, AI/ML Platform Engineering, UX Design Language teams, and Hardware Product lines
- Translate complex machine learning capabilities into precise, unambiguous product requirement documents (PRDs), ensuring a reliable and ethical path from initial model training to mass-market production deployment
Skills
- 10+ years of product management experience, with at least 5+ years dedicated specifically to shipping consumer-facing AI/ML software features, intelligent IoT experiences, or complex data-driven platforms at scale
- Demonstrated experience managing products that require close, daily coordination with AI data scientists, machine learning infrastructure engineers, and data privacy teams
- 3+ years of experience directly managing and developing technical product professionals, with a proven ability to scale a team's technical capacity
- B.S. or M.S. in a Technical Field (Computer Science, Data Science, Artificial Intelligence, or related discipline)
- Proven ability to define long-term product frameworks and navigate intense ambiguity independently. You must be comfortable establishing a product path where technical baselines or data sets are completely undefined
- Deep technical literacy in applying machine learning approaches to consumer-facing ecosystems. Direct experience productizing capabilities like computer vision, edge-AI processing, natural language processing, or predictive behavioral modeling is required
- Strong understanding of how software intelligence interacts with physical consumer hardware lifecycles, including ambient wireless frameworks, cloud latency constraints, and local device processing limitations
- Exceptional written and verbal communication skills. Proven track record of presenting complex data science and product concepts clearly to non-technical executive leadership to secure broad organizational alignment
- MBA or equivalent business experience preferred
Benefits
- Annual bonus
- Short- and long-term incentives
- Program-specific awards
- Benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts
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