Product Manager: Generative AI for Next-Gen Support

Google; Boulder (CO); On-site; USD 163,000 - 237,000; Full time

Job summary

Google is seeking a Product Manager in gTech Users and Products (gUP) to guide Conversational AI for support from ideation to launch, partnering with engineering, design, and data teams to deliver high-impact features.

You will work across Sunnyvale, Boulder and other U.S. locations, leveraging Generative AI to improve consumer help experiences, with a focus on metrics, experimentation, and cross-functional collaboration.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in product management or related technical roles.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• Experience with the domain area of Generative AI or Large Language Models.

Responsibilities

• Understand user and product needs, set a direction, and ensure it aligns with gUP’s and the product area’s overall goals.
• Analyze every touchpoint across the self-help journey and optimize conversational AI for consumer support w/in that context to drive engagement and successful outcomes.
• Generate new ideas, prioritize features, and collaborate with engineering, your product peers, and other partners to deliver a high-quality product.
• Develop strategies to drive usage, engagement, and complete rates.
• Work with engineering, operations, product verticals and other teams to ensure Help Guide’s success for your product area.

Skills

Product management

Generative AI

Education

Bachelor’s degree or equivalent practical experience

Job description

Google is seeking a Product Manager in gTech Users and Products (gUP) to guide Conversational AI for support from ideation to launch, partnering with engineering, design, and data teams to deliver high-impact features.

You will work across Sunnyvale, Boulder and other U.S. locations, leveraging Generative AI to improve consumer help experiences, with a focus on metrics, experimentation, and cross-functional collaboration.