Product Deployment Engineer, gTech

Responsibilities

• Partner with Sales and Engagement Managers to understand customer marketing objectives, infrastructure, first-party data management strategy, and pain points.
• Lead technical assessment/consultation sessions to uncover opportunities where bespoke solutions are required, ensuring solutions respect industry-specific data constraints and business-cycles.
• Translate complex customer requirements into clear technical specifications and solution designs, considering scalability, reusability, and best practices as well as a clear path to media activation.
• Provide technical-product oversight during the implementation phase, ensuring the engineering build remains aligned with the original customer strategy, while delegating base code-level and system-building decisions to the Engineering team.
• Collaborate closely with cross-functional gTech teams (e.g., Engineering teams, Solution Experts, Measurement Experts) to orchestrate bundled service delivery and ensure seamless customer outcomes.
• - Partner with Sales and Engagement Managers to understand customer marketing objectives, infrastructure, first-party data management strategy, and pain points. - Lead technical assessment/consultation sessions to uncover opportunities where bespoke solutions are required, ensuring solutions respect industry-specific data constraints and business-cycles. - Translate complex customer requirements into clear technical specifications and solution designs, considering scalability, reusability, and best practices as well as a clear path to media activation. - Provide technical-product oversight during the implementation phase, ensuring the engineering build remains aligned with the original customer strategy, while delegating base code-level and system-building decisions to the Engineering team. - Collaborate closely with cross-functional gTech teams (e.g., Engineering teams, Solution Experts, Measurement Experts) to orchestrate bundled service delivery and ensure seamless customer outcomes.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. - 5 years of experience in building proof-of-concepts using web/scripting technologies (e.g., JavaScript, Python, etc.) and SQL databases. - Experience with system design or reading code in Java, C++, or Python. Preferred qualifications: - Experience working with Google Ads, Google Marketing Platform products (e.g., SA360, DV360, GA4), or Google Cloud services. - Expertise in one of the three core product pillars: Search+, YouTube+, or Measurement and Platforms. - Ability to manage multiple projects and priorities in a dynamic environment. - Excellent communication, presentation, and stakeholder management skills.