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Partner with regional sales, product leads, and clients to evaluate technical maturity, identify custom solution opportunities, and channel field feedback back into core engineering roadmaps.
Translate complex client requirements into scalable system architectures, robust integration strategies, and prototype-backed technical requirement documents.
Codify standardized deployment playbooks and frameworks to enable scalable, vendor-executed delivery of complex workflows.
Architect durable data pipelines and CRM integrations using the Google Ads API while ensuring full compliance with global privacy regulations.
Oversee implementation alongside cross-functional delivery teams, stress-testing solutions with real-world validation data to guarantee reliability prior to rollout.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
3 years of experience troubleshooting technical issues for internal/external partners or customers.
Experience in either system design or reading code (e.g., Java, C++, Python).
Experience in building proof of concepts using web/scripting technologies (e.g., JavaScript, Python, etc.) and SQL databases.
Preferred qualifications
Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
5 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc.).
5 years of experience in a customer-facing role.
Understanding of advertising technologies, APIs, and data integration.
Ability to translate complex business needs into technical specifications.
Bachelor’s degree or equivalent practical experience.
3 years of experience troubleshooting technical issues for internal/external partners or customers.
Experience in either system design or reading code (e.g., Java, C++, Python).
Experience in building proof of concepts using web/scripting technologies (e.g., JavaScript, Python, etc.) and SQL databases.
