G

Google

Runs Search and YouTube and builds Gemini AI

Product Deployment Engineer Intern - English

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Internship · Summer 2027London, UKNo salary listed

About the Job

Requirements

  • Currently enrolled in a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Business Information Systems, or a related technical or quantitative field in the EMEA region.
  • Relevant practical or internship experience in technical project delivery, technical consulting, software development, or a customer-facing role.
  • Programming or scripting experience with at least one language, such as Python or JavaScript, and experience with SQL or data analysis.
  • Ability to communicate in English to support client relationship management in the region.
  • Currently enrolled in the penultimate or final year of education in an accredited Bachelor's or Master's full-time degree program located in the EMEA region.
  • Able to complete a 13-week full-time internship in the UK during Summer 2027, starting in May, June, or July.
  • Must be located in the UK for the duration of the internship.
  • Must provide an updated CV or resume and a current unofficial or official transcript in English.
  • Include expected graduation date (month and year) and internship availability on the resume.

Responsibilities

  • Shadow and assist Partner Delivery Engineers during technical assessments to understand client technical architectures, advertising stacks, and first-party data strategies.
  • Assist in building lightweight prototypes, proof-of-concepts, scripts, or SQL queries to validate integration feasibility and automate deployment steps.
  • Learn how technical requirements are translated into Business Requirement Documents and collaborate with engineering hubs, including Ads Solutions Engineers, and Engagement Managers.
  • Document technical workflows, capture best practices, and contribute to reusable deployment guides and blueprints.
  • Map customer data flows and Marketing Technology touchpoints to identify privacy-safe integration opportunities and support delivery of Customer Growth Packages.
  • Support technical deployments, evaluate client technical maturity, map Marketing Technology architectures, and assist with product activation, technical scoping, lightweight scripting, and solution delivery.

Desired Qualifications

  • Strong problem-solving skills and a track record of debugging complex and ambiguous challenges.
  • Knowledge of digital advertising concepts, digital analytics tools such as Google Analytics 4, tag management, or cloud environments such as Google Cloud Platform.
  • Ability to learn complex system architectures, privacy-safe data ecosystems, and Google Ads products.
  • Interest in Marketing Technology and learning how online platforms, databases, privacy frameworks, and customer management systems and tools interact.

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

Recently Posted Jobs

Explore more opportunities at Google

See more jobs