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Product Deployment Engineer, gTech
Google
Chicago, USA
Mid · 5+ years experience
Onsite
USD 152000-221000 / year
Discovered 6 days ago
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Key Skills for This Role
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Full Job Posting
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.
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.
About Google
Technology10,001+Founded 1998
Technology company specializing in search, advertising, cloud computing, and AI
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