Technical Program Manager III, Machine Learning, Google Cloud
Date: 6 hours ago
City: Kirkland, WA
Salary:
$156,000
-
$229,000
per year
Contract type: Full time

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.Minimum qualifications:
Using your extensive technical and leadership expertise, you'll manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.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
- Bachelor's degree in a relevant field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience working with data structures or machine learning algorithms.
- Master’s degree, PhD, or equivalent experience in Engineering, Computer Science, or other technical related field.
- 5 years of experience managing cross-functional or cross-team projects.
- 3 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, or deep learning.
Using your extensive technical and leadership expertise, you'll manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.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
- Provide software development and project management, coordination, and inter/intra team communications to deliver outstanding program outcomes.
- Work closely with Software Engineers, QA, Product Managers and other engineering teams to get high-quality products and features through the software project lifecycle (build, test and release on time).
- Manage project schedules, identify possible issues and clearly communicate them to project stakeholders.
- Lead several technical programs for Google Cloud, setting priorities for products and engineering, leading teams to take products to market, assuring success metrics are informing future efforts, and quickly fine tuning the program as needed.
- Exercise knowledge of data structures or algorithms that improve software performance over time. Build, maintain and enhance business, operational, and management dashboards
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