About the job

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. 

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video. 

Responsibilities

• Partner with Sales and Engagement Managers to deeply understand enterprise customers' marketing objectives, technical maturity, and first-party data strategies. Act as a trusted advisor, pitching first and reserving custom engineering for high-impact, business-unlocking scenarios.
• Translate business requirements into technical specifications, system architectures, and integration strategies. Write high-quality business/product requirement documents to facilitate seamless hand-overs to core Engineering teams.
• Develop and iterate on working prototypes and proofs-of-concept (using an AI-first approach) to validate technical viability before full-scale engineering builds. Prioritize creating reusable blueprints and open-source integration wrappers over one-off, isolated fixes.
• Design durable, privacy-safe data pipelines (e.g., server-side tagging, customer relationship management (CRM) integrations, and Privacy-Safe APIs like Clean Rooms/PAIR). Ensure all first-party data activation complies with global privacy regulations while maintaining high signal quality.