Bachelor's degree or equivalent practical experience.
3 years in product management or a related technical role.
1 year of experience taking technical products from conception to launch.
Experience in data analysis, product strategy, or policy analysis.
2 years of cross-functional collaboration with engineering, UX/UI, and sales finance.
Responsibilities
Architect an AI-driven strategy for ingesting and synthesizing complex contextual data.
Lead the AdMob first-party data ecosystem using AI-augmented user surveys and analytics.
Partner with buyer teams to discover signals using predictive ML models.
Establish advanced quality benchmarks with LLMs for semantic analysis.
Utilize algorithmic matchmaking to connect buyers with optimal inventory.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and holidays.
Retirement savings plans with company matching.
Professional development opportunities and resources.
Flexible work arrangements.
Full Job Description
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 (e.g., ideation to execution, end-to-end, 0 to 1, etc).
Experience in data analysis, product strategy, or policy analysis.
Preferred qualifications:
2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
2 years of experience in a role preparing and delivering technical presentations to executive leadership.
Experience in mobile business generation, supply-side platforms (SSPs), mediation, or programmatic bidding.
Experience engaging directly with app developers and partnering with go-to-market teams to drive product adoption.
Responsibilities
Architect an AI-driven strategy to ingest and synthesize complex contextual data across the app ecosystem and partner with DeepMind to deploy deep learning pipelines.
Lead the AdMob first-party data ecosystem using AI-augmented user surveys and analytics to capture user attribute, interest, and intent data at scale.
Partner with buyer teams to discover signals, utilizing predictive ML models to dynamically interpolate and scale high-fidelity user insights across emerging inventory.
Establish advanced quality benchmarks using LLMs to automate semantic analysis and classify inventory insights at scale.
Partner with buyers using algorithmic matchmaking to connect them with optimal inventory, ensuring sustainable, long-term business growth for publishers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
