Senior Product Manager, Assistant Natural Language Processing

irst. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Customer expectations for the quality and reliability of spoken-language interactions are increasing as language understanding technology rapidly evolves in direct view of the public.

The Assistant Natural Language Processing (NLP) team uses Gemini to improve the quality of user experience for Google Assistant in the home. We train small models to perform precise actions accurately, reliably, and safely, powered by a serving infrastructure that can scale to the many millions of users that use Assistant daily. Our mission is to bring Artificial Intelligence (AI) into the home that exceeds the expectations of our users.

Google aims to build products that organize the world's information and make it universally accessible to our users. As a Product Manager at Google, you could be working on new technologies, platforms, consumer facing products, and/or enterprise systems. The end goal will be to match you with the team that best aligns with your interests, experience, and where you will have the most impact.

Responsibilities

• Maximize the impact of the NLP teams in India by providing product leadership across a broad portfolio of quality, data system, and feature investments.

• Drive customer-centric opportunity identification and prioritization across the LLM investments for Assistant Action quality, query classification, repair and rewriting.

• Produce a rigorous product point of view to complement and increase the impact of Engineering's technical solutions.

• Communicate and coordinate within a globe-spanning engineering and product organization.

• Drive development and secure buy-in for a product goal that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts.