Product Manager Pixel AI, Experiences

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in product management or a related technical role.
• 1 year of experience taking technical products from conception to launch, such as ideation to execution or 0-to-1 work.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications

• Master's degree in a technology- or business-related field.
• 2 years of experience in a business function or role, such as strategic marketing, business operations, or consulting.
• 2 years of experience preparing and delivering technical presentations to senior leadership.
• 2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.
• 1 year of experience in software development or engineering.
• Experience with Android mobile, device software, operating systems, or other foundational technology-stack components.

About the job

Guide products from conception to launch by connecting technical and business needs, breaking complex problems into actionable steps that drive product development. Work with engineers, designers, marketers, and other partners to design, develop, position, package, promote, and tailor solutions for users.

The role supports the development of mobile experiences, bringing together artificial intelligence, software, and hardware to create smartphone experiences for users worldwide.

Responsibilities

• Define and execute the product strategy and roadmap for AI experiences, synthesizing multimodal signals into context-aware user suggestions.
• Advance next-generation device pipelines to create frictionless user interactions.
• Partner with engineering, UX, and privacy teams to architect secure, on-device processing solutions that address technical platform constraints.
• Lead rapid prototyping and continuous testing using AI-assisted tools to independently validate concepts and user experiences.
• Author product specifications that frame requirements around outcomes and success criteria and align specialized teams.