AI Analytics Product Manager: Trust & Verification

Google Inc.; Zürich; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Zusammenfassung

Google Inc. is seeking a Mid-level Product Manager for AI Analytics, Trust and Verification to guide products from conception to launch.

You will bridge the technical and business worlds, breaking down complex problems into actionable steps for product development and cross-functional teams. The role emphasizes collaborating with engineers, designers, marketers, and analysts to deliver data-driven solutions that affect millions daily, with a focus on enabling trustworthy AI workflows and

Qualifikationen

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Aufgaben

• Lead the discovery and development of new tools, skills, and sub-agents that address evolving data journeys.
• Build evaluation frameworks and analytics to improve velocity and precision of Google's data insights.
• Conduct research to identify emerging trends and opportunities in the agentic data space.
• Drive cross-functional collaboration to ensure successful product launches, adoption, and integration.
• Communicate effectively with stakeholders at all levels, including engineers, analysts, executives, and internal product partners.

Kenntnisse

Mentoring

Problem solving

Progress driven

Cross-functional collaboration

Ausbildung

Bachelor's degree or equivalent

Master's degree (preferred)

Jobbeschreibung

Google Inc. is seeking a Mid-level Product Manager for AI Analytics, Trust and Verification to guide products from conception to launch.

You will bridge the technical and business worlds, breaking down complex problems into actionable steps for product development and cross-functional teams. The role emphasizes collaborating with engineers, designers, marketers, and analysts to deliver data-driven solutions that affect millions daily, with a focus on enabling trustworthy AI workflows and