Product Deployment Engineer, Search+ & Ads Tech

Google LLC; San Francisco (CA); Presencial; USD 152.000 - 221.000; Tempo integral

Benefícios oferecidos por esta vaga

Bonus target 15%

Equity

Benefits

Resumo da vaga

Google LLC is hiring for a Product Deployment Engineering role within gTech Ads AMER LCS in the United States. The team delivers complex search consulting and implementation to Google's enterprise advertising clients, helping them unlock value across Google Ads and related platforms.

The role emphasizes collaboration with Sales, Product, and Engineering to craft scalable solutions, with emphasis on data integration for value-based bidding and attribution. In-person interviews are common.

Qualificações

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience in either system design or reading code (e.g., Java, C++, Python).

Responsabilidades

• Partner with regional product leads, Sales, and gTech Engagement Managers to assess customer marketing objectives and data management strategies.
• Lead technical consultations and martech diagnostic sessions to uncover opportunities for custom solutions.
• Translate complex customer requirements into clear architectures and specifications prioritizing scalability and media activation; hand over to Engineering.
• Act as trusted advisor providing technical-product oversight during implementation.
• Drive last-mile delivery, enablement, and seamless deployment outcomes with customer teams.

Conhecimentos

Java

C++

Python

Formação

Bachelor’s degree or equivalent practical experience

Master’s degree in related field (preferred)

Ferramentas

SQL

Descrição da vaga

Google LLC is hiring for a Product Deployment Engineering role within gTech Ads AMER LCS in the United States. The team delivers complex search consulting and implementation to Google's enterprise advertising clients, helping them unlock value across Google Ads and related platforms.

The role emphasizes collaboration with Sales, Product, and Engineering to craft scalable solutions, with emphasis on data integration for value-based bidding and attribution. In-person interviews are common.