Outbound Product Manager, Google Cloud Applied AI Applications

Minimum qualifications:

• 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, 0 to 1, etc.).

Preferred qualifications:

• Master's degree in a technology or business related field.
  
• 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  
• 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  
• 4 years of experience in a role preparing and delivering technical presentations to senior leadership.
  
• 3 years of experience in software development or engineering.

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.

As an Outbound Product Manager, you will play a critical role as the technical/domain expert and shape the direction of the Applied AI Applications product roadmap in customer experience and contact center AI, as well as go-to-market strategy. You will partner with Product Management, Engineering, and cross-functional stakeholders, and will provide user and market insights to help product teams make more informed roadmap decisions. You will be responsible for developing differentiated product positioning and messaging, and you will support go-to-market activities that drive business performance and customer satisfaction.

The Cloud Applied AI Applications team synthesizes customer ideas and drives alignment and prioritisation across cross-functional teams to accelerate Cloud Applied AI applications adoption, growth, and cross-product pull-through.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

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

• Advocate product capabilities informed by customer insights and market intelligence to support product and go-to-market decisions.
• Drive reactive and proactive competitive intelligence work on pricing product portfolios.
• Engage customers and partners to regularly collect feedback, understand product adoption, and enable sellers and partners to articulate the value and positioning of conversation AI product portfolios.
• Work cross-functionally with product, product operations, product marketing, sales, and partnership teams.
• Drive partner and sales enablement as well as broader scaled go-to-market programs.