| Location | Dearborn, MI |
Senior Product Manager, Consumer AI Assistant- Mobile
About the Role
We are looking for a Senior Product Manager to lead the strategy and execution of our consumer AI assistant on mobile.
You will own two critical outcomes: improving the assistant's ability to fulfill customer needs and driving sustained adoption and engagement. Working at the intersection of consumer mobile, conversational AI, and product growth, you will turn emerging AI capabilities into useful, reliable, and trusted customer experiences.
You will partner closely with engineering, AI/ML, design, research, analytics, safety, legal, and marketing teams.
Senior Product Manager, Consumer AI Assistant- Mobile About the Role We are looking for a Senior Product Manager to lead the strategy and execution of our consumer AI assistant on mobile. You will own two critical outcomes: improving the assistant's ability to fulfill customer needs and driving sustained adoption and engagement. Working at the intersection of consumer mobile, conversational AI, and product growth, you will turn emerging AI capabilities into useful, reliable, and trusted customer experiences. You will partner closely with engineering, AI/ML, design, research, analytics, safety, legal, and marketing teams.
What You'll Do
Define the product vision, strategy, and roadmap for the mobile AI assistant.
Own outcomes across task completion, response quality, customer satisfaction, adoption, engagement, and retention.
Identify high-value customer needs and improve the end-to-end assistant experience.
Use analytics, experimentation, customer research, and AI evaluations to identify friction and prioritize improvements.
Develop growth strategies that improve discovery, onboarding, activation, repeat usage, and retention.
Partner with AI/ML and engineering teams to improve grounding, latency, reliability, safety, and overall assistant quality.
Lead cross-functional initiatives and communicate priorities, tradeoffs, and results to senior leadership.
What You'll Do
Define the product vision, strategy, and roadmap for the mobile AI assistant.
Own outcomes across task completion, response quality, customer satisfaction, adoption, engagement, and retention.
Identify high-value customer needs and improve the end-to-end assistant experience.
Use analytics, experimentation, customer research, and AI evaluations to identify friction and prioritize improvements.
Develop growth strategies that improve discovery, onboarding, activation, repeat usage, and retention.
Partner with AI/ML and engineering teams to improve grounding, latency, reliability, safety, and overall assistant quality.
Lead cross-functional initiatives and communicate priorities, tradeoffs, and results to senior leadership.