Product Manager, Machine Translation

At Google, we put our users first. 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.

As Product Manager for Machine Translation, you will have an opportunity to work across Product Areas and drive value for every Google product. You will be part of the Core team, which builds the technical foundation behind Google's flagship products. The team is responsible for underlying design elements, developer platforms, product components, and infrastructure at Google.

Your responsibilities will include:

• Owning planning, execution, and success for machine translation and Translation Console.
• Achieving improved localization quality for Google users and a great experience for Google teams as they localize their products.
• Advancing machine translation, training data, and evaluation.
• Finding new ways to integrate Translation Console into first-party developer workflows and tools.
• Collaborating cross-functionally with multiple engineering teams, product areas across Google, and the gTech localization team.
• Analyzing usage metrics, UX research, and user feedback to drive great outcomes for localization at Google.

This role requires a Bachelor's degree or equivalent practical experience, 5 years of experience in product management or related technical role, and 2 years of experience taking technical products from conception to launch. Preferred qualifications include experience in languages and serving global users, influencing across job functions and levels at a large technology company, experience with internationalization and localization, and the ability to navigate ambiguity.

Join Google's Core team and have a unique opportunity to impact important technical decisions across the company while working on machine translation and localization products that affect millions of users worldwide.