Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in product management or related technical role.
  
• 2 years of experience in developing or launching products; or technologies within Artificial Intelligence or Machine Learning (AI or ML).

Preferred qualifications:

• Master's degree in a technology or business related field.
  
• 2 years experience developing new Generative Artificial Intelligence (GenAI) technologies.
• 2 years of experience in a business role (e.g., strategy, business operations, consulting).
• Experience taking a product from 0 to 1 and from 1 to 10.
• Experience managing day-to-day technical and research directions.
• Experience product managing internal ML infrastructure, advocating for its use cases, and growing its adoption.

About the job

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.

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.

Domain Applied ML (DAML) is a translational research group within CoreML that focuses on developing the novel research that our product areas (PAs) need to become the best at bringing the latest and greatest Generative Artificial Intelligence (GenAI) capabilities into Google products. DAML is positioned at the crossroads of CoreML, Google DeepMind (GDM) and our PAs.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Maintain an understanding of the development workflows that GenAI product builders traverse so that you can propose the biggest opportunities to 10x those workflows with novel research innovations.
• Articulate the current state of the art in your research area so that you can make a business case for why or why not additional innovation is needed or not in that area.
• Build productive and trusting partnerships with your DAML research team, CoreML teammates, GDM colleagues, PA partners; maintain communication across these groups.
• Establish a multi-year research roadmap that you will adjust as new opportunities or technologies emerge; translating that roadmap into action across scales (e.g., weekly deliverables, OKRs).
  
• Be the spokesperson for your research area within CoreML and also across Google; advocate for your research team such that you collectively deliver the highest impact.