Join gTech Ad GCS as a Product Deployment Engineer, serving as a key regional advisor and service authority for specific Google products. This role bridges customer aspirations with gTech's capabilities, requiring deep knowledge of the gTech Ads Implementation Menu of Service.

You'll be instrumental in translating customer needs into scalable product strategies and high-quality technical specifications. Your expertise will connect implementation consultancy with engineering, ensuring Google's gTech Ads engineering power addresses high-impact business challenges and drives campaign performance.

Google is dedicated to creating products that enhance the world, and gTech plays a vital role in bringing them to fruition. Our global teams provide trusted advisory services, leveraging technical skills, product knowledge, and a profound understanding of customer complexities. Whether developing bespoke solutions or scalable tools, our aim is to maximize customer benefit from Google products.

Collaborate with regional sales, product leaders, and clients to assess technical maturity and identify custom solution opportunities. Channel field feedback to enhance core engineering roadmaps.

Translate intricate client requirements into scalable system architectures, effective integration strategies, and prototype-supported technical documents (BRDs/PRDs).

Develop standardized deployment playbooks and frameworks to facilitate scalable delivery of complex workflows through vendors.

Design durable data pipelines and CRM integrations utilizing the Google Ads API, while strictly adhering to global privacy regulations.

Supervise implementations with cross-functional teams, rigorously testing solutions with real-world validation data to ensure reliability before full rollout.

A Bachelor's degree or equivalent practical experience is required.

Possess at least 3 years of experience in troubleshooting technical issues for partners or customers.

Demonstrate experience in either system design or code comprehension (e.g., Java, C++, Python).

Proven ability to build proof-of-concepts using web/scripting technologies (e.g., JavaScript, Python) and SQL databases.

Preferred qualifications include a Master's degree in Business, Statistics, Mathematics, Economics, Engineering, or Applied Science. Additionally, 5 years of experience in project management, analytics, software coding, customer-facing web technologies, operations management, or customer-facing roles is beneficial. Familiarity with advertising technologies, APIs, and data integration, along with the capability to translate complex business needs into technical specifications, is highly valued.