Staff Product Manager, Gemini Audio Delivery & Infra

DeepMind Technologies Limited; Mountain View (CA); Vor Ort; USD 300.000 - 333.000; Vollzeit

Benefits dieser Stelle

25% bonus target

Equity

Benefits

Zusammenfassung

Google DeepMind seeks a Staff Product Manager for Gemini Audio Delivery and Infrastructure. You will drive the productionization of Gemini Audio models, shape the required production and research infrastructure, and guide the end-to-end rollout for Live dialog, Transcribe, TTS, and Translation across platforms.

You will collaborate with researchers, engineers, and partners to ensure scalable, low-latency solutions while shaping product strategy, execution, and measurement for billions of users.

Qualifikationen

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in product management or related technical roles.
• 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).

Aufgaben

• Own PRDs by overseeing collaboration with partner teams (engineers, PMs, UX) during product design.
• Own and oversee definition of product roadmaps.
• Own development and secure buy-in for a product outlook that defines and supports the overall narrative and direction.”
• Oversee validation of market size and opportunity (e.g., user-based, strategic opportunity, revenue).
• Lead the team through defining, identifying, collecting, and tracking product or business metrics, both quantitative and qualitative.

Kenntnisse

Product management

Technical experience

End-to-end product delivery

Ausbildung

Bachelor's degree

Jobbeschreibung

Google DeepMind seeks a Staff Product Manager for Gemini Audio Delivery and Infrastructure. You will drive the productionization of Gemini Audio models, shape the required production and research infrastructure, and guide the end-to-end rollout for Live dialog, Transcribe, TTS, and Translation across platforms.

You will collaborate with researchers, engineers, and partners to ensure scalable, low-latency solutions while shaping product strategy, execution, and measurement for billions of users.