Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management, or a related technical role.
• 3 years of experience developing or launching products or technologies within Artificial Intelligence/Machine Learning (AI/ML).
• Experience working with AI technologies and generative models.
• Experience taking products from conception to launch.

Preferred qualifications:

• Master's degree in a technology or business related field.
  
• 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  
• 5 years of experience in product management, specifically bringing innovative software products to market.
• 4 years of experience in a role preparing and delivering technical presentations to executive leadership.
• Track record of managing product roadmaps and executing complex launches in an ambiguous environment.

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.

Google Workspace is a smart, simple and secure family of productivity applications.They are designed to simplify work and increase the productivity of teams, with real-time collaboration built in from the start.

Generative AI is transforming the entire productivity space, and becoming a direct citizen in Google Workspace. The Gemini-powered Workspace features are helping users draft better emails, summarize lengthy docs, generate beautiful slides, analyze and augment spreadsheets, and more.

Ensuring content quality, safety and security of the underlying Large Language Models (LLMs) and the full end-to-end flow is a critical step in ensuring we can enable these features safely for our users.

We are part of the mission-driven Workspace Abuse and Safety Protections (WASP). We build ML-powered enforcement to prevent harmful abuse across the Workspace.

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 $183,000-$271,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. 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

• Build and scale solutions to evaluate content safety and prompt injection risks for all Gemini-powered Workspace launches.
• Develop innovative methods to monitor AI feature safety and proactively identify emerging risks.
• Streamline the setup of safety and prompt injection mitigations to minimize potential vulnerabilities.
• Partner closely with the GenAI Workspace Safety and Security (GAWSS) team, Trust and Safety (operations/evals), and Policy teams.
• Monitor the Workspace compliance landscape and ensure all upcoming safety requirements are addressed.

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Requisition #: 97152939188986566

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