Manager, Ads Solution Engineering

Google Google · Big Tech · São Paulo, State of São Paulo, Brazil

Manager for Ads Solution Engineering team at Google, focusing on leading engineers to develop and scale technical solutions for advertisers using Google Ads. The role involves driving AI and automation initiatives, collaborating with cross-functional teams, and delivering strategic goals to unlock growth for the Google Ads Business.

What you'd actually do

  1. Lead a team of Customer and Partner Solutions Engineers focusing on team culture, talent strategy, and skills development to deliver scaled technical solutions aligned to Google Ads Product priorities to customers globally.
  2. Deliver the strategic goal for the organization, working with sales teams, product leads, and cross-functional teams to ensure strategic alignment with customer needs and co-ordinated execution for key priorities.
  3. Provide thought leadership and develop new AI solution offerings for the team as aligned with organizational goals of product and enablement organizations to maximize output and impact.
  4. Drive change management on initiatives that increase automation, integration with AI and efficiency of complex, multifaceted workflows and processes, for both Google and customers.

Skills

Required

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
  • 8 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
  • Experience in technical leadership, including experience leading business transformation initiatives.

Nice to have

  • Master’s degree in Engineering, Computer Science, Business, or a related field.
  • Experience in an analytical 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).

What the JD emphasized

  • technical solutions
  • AI