Senior Customer Solutions Engineer

Google Google · Big Tech · New York, NY +1

This role is for a Senior Customer Solutions Engineer focused on technical implementation, optimization, and creating scalable solutions for Google's advertising products. The role involves collecting requirements, designing and building global solutions, adapting existing solutions for scale, and managing the lifecycle of a portfolio of scaled solutions. While experience with Machine Learning is preferred, the core of the role is in engineering and scaling ad solutions, not in building AI models themselves.

What you'd actually do

  1. Collect requirements, provide guidance, and best practices to apply to ad products and technologies.
  2. Engineers the proactive scoping, designing, and building of a series of solutions and best practices at a global level to be reused by customers, sellers, partners.
  3. Leverage engineering skills to adapt existing bespoke ads solutions created by regional teams into globally scaled solutions that can support thousands of customers.
  4. Own a solution life cycle from discovery, to launch, managing maintenance bugs and feature requests, as well as deprecation for a portfolio of scaled solutions.

Skills

Required

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
  • 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
  • Experience troubleshooting technical issues for internal/external partners or customers.

Nice to have

  • Master’s degree in Engineering, Computer Science, Business, or a related field.
  • Experience in an investigative role such as business intelligence, data analytics, or statistics.
  • Experience working with database technologies (e.g., SQL, NoSQL).
  • Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
  • Experience using Machine Learning and building solutions.
  • Experience working with systems (e.g., Linux, Unix, Windows).