Product Manager, Google Cloud Network Security

Google•Sunnyvale, CA

1d•$192,000 - $279,000

About The Position

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. In this role, you will be delivering new AI-powered network security products that will enable our customers to protect their applications, networks, services, and users from even the most sophisticated cyber attacks. You will be responsible for helping develop new product ideas and then taking them from initial development to release and then onto successful deployment with some of our largest and most complex customers. You will be focused on building products/features in the Web Application Firewall, DDoS protection, Bot protection area, working closely with customers, sales, engineering and security partners. You will get a chance to build products that protect the customer's critical applications against emerging threats leveraging a combination of traditional and AI/ML driven techniques. 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

Requirements

Bachelor's degree or equivalent practical experience.
8 years of experience in product management or related technical role.
3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
Experience integrating generative AI tools or LLM interfaces into workflows.

Nice To Haves

Master's degree in a technology or business related field.
5 years of strong Product Management experience in Application Security or Network Security space, preferably involving public Cloud.
Experience launching products or features in one or more areas: Web Application Firewalls, DDoS Protection, Bot/Agent trust Management, AI/Agentic Security, Data Security.
Experience building AI-powered security products for public cloud (GCP).
Familiarity with the cloud security ecosystem (e.g., WAF, NGFW, IDPS, CSPM, SIEM etc.).
Strong communication (written and verbal) and presentation skills, comfortable presenting to customers, sales and partners.

Responsibilities

Understand enterprise customers network security needs both in the cloud and on premise.
Understand broader network security ecosystem, markets, competition and new trends.
Drive the goal and development of AI-powered features within our network security product portfolio to protect Google Cloud customers at scale.
Help generate new ideas on products and services that we can bring to market to help protect Google Cloud customers from network based threat vectors.
Lead the end-to-end product lifecycle with an AI-first SDLC approach, actively utilizing AI tools for ideation, requirements gathering, prototyping, User Experience (UX), and documentation.