Product Manager, YouTube, API - Google
Los Angeles, CA
About the Job
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience in product management or related technical role.
- 1 year of experience taking technical products from conception to launch.
Preferred qualifications:
- Master's degree in a Technology or Business related field.
- 2 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- 2 years of experience working cross-functionally with engineering, User Experience (UX)/User interface (UI), business finance, and other stakeholders.
- 2 years of experience in a role preparing and delivering technical presentations to executives.
- 1 year of experience in software development or engineering.
- Experience in incorporating inclusion and accessibility into product development methodologies and knowledge of building accessibility tools.
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.
In this role, you will build a new Application programming interface (API) portfolio and Artificial Intelligence (AI) powered capabilities by working with Google's engineering team. You will bring these innovations to market via our agency partners. You have an understanding of digital advertising, API development, AI, and can translate agency needs into product strategies.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $122,000-$178,000 + 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
- Build Application programming interfaces (API) by collaborating with engineering to leverage existing or new data and launch APIs.
- Lead pilot programs, define distribution, prioritize agencies, and enable Go-to-Market (GTM).
- Partner with cross-functional teams for market analysis, prioritization, and differentiation. Define success metrics and iterate based on feedback.
- Identify opportunities for new APIs, including Artificial Intelligence (AI) capabilities, based on internal and market input.
- Update the progress report to executives and stakeholders.