Technical Program Manager III, AI Modeling, Cloud Supply Chain
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Design, build, and prototype AI agents focused on optimizing key supply chain functions for cloud compute infrastructure.
Iterate on ideas, conducting rapid A/B testing and proof-of-concept experiments to validate the technical feasibility and business impact of agent-based solutions.
Collaborate with Data Science and Data Engineering teams to identify, clean, and structure the necessary supply chain data for use in ML and agent models.
Create comprehensive documentation, including technical specifications, model architecture, and model maintenance procedures to ensure a seamless and efficient transition of successful prototypes to production engineering teams.
Partner with Supply Chain Operations, Architects, Finance, and Engineering teams to define requirements, gather feedback, and ensure prototypes align with strategic business objectives and drive user adoption in production.
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience with AI agent-based modeling, ML predictive modeling, or deep learning architectures.
- Experience with Java, Python, SQL, standard API design and system architectures.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience putting data science principles into practice, data quality assessment, statistical modeling, feature engineering, and data visualization.
- Experience with global supply chain management within the enterprise hardware or cloud infrastructure space.