G

Google

Runs Search and YouTube and builds Gemini AI

Product Deployment Engineer - Multiple Teams

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience.
  • Five years of experience troubleshooting technical issues for internal or external partners or customers.
  • Experience in either system design or reading code, such as Java, C++, or Python.
  • A master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field, is preferred.
  • Experience working with Google Ads, Google Marketing Platform products such as SA360, DV360, or GA4, or Google Cloud services is preferred.
  • Expertise with Search+ is preferred.
  • Experience in an online advertising or customer growth role and familiarity with the ad serving industry and internet technologies are preferred.
  • Demonstrated coding ability with Java or Python, and database knowledge including the ability to construct complex SQL queries, are preferred.

Responsibilities

  • Partner with regional product leads, Sales, and gTech Engagement Managers to assess customer marketing objectives, technical maturity, infrastructure, and first-party data management strategies.
  • Lead technical consultations and martech diagnostic sessions to identify opportunities for custom solutions, ensuring designs respect industry-specific data constraints and business cycles.
  • Translate complex customer requirements into system architectures and technical specifications that prioritize scalability, reusability, and media activation.
  • Lead technical handovers to the engineering team by authoring prototype-grounded Business/Product Requirement Documents aligned with the product roadmap, and serve as the entry gatekeeper to the Engineering Center of Excellence.
  • Provide technical-product oversight during implementation to ensure the engineering build aligns with customer strategy while deferring base-code decisions to Engineering.
  • Partner with gTech teams and customer technical teams to drive last-mile delivery, enablement, and deployment outcomes.
  • Provide complex search consulting and implementation for Google's enterprise advertising clients.
  • Help customers use their data across Google Ads, SA360, and Shopping, commonly integrating customer data for value-based bidding, inventory bidding, or third-party attribution.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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