Technical Program Manager, Cloud AI and Industry Solutions
Job Summary
Job Description
- 8+ years program management experience
- 8+ years machine learning experience
- Experience with language models
- Manage multiple projects
- Cross-functional project management
- Experience managing cross-functional projects across multiple geographies and time zones
- Experience with Google Cloud and/or other cloud technologies & launches
- Experience driving AI/ML program life-cycles from concept to deployment and monitoring
- Experience building applications
- Bonus
- Equity
- Benefits
3 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in program management.
- 8 years of experience with machine learning.
- Experience with language models.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- 6 years of experience with project management in a lead role working with engineering teams spread across multiple geographies and time zones.
- Experience in Google Cloud and/or other cloud technologies & launches.
- Experience driving AI/ML program life-cycles from concept to deployment and monitoring.
- Experience building applications.
About the job
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.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $183,000-$271,000 + 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 .
Responsibilities
- Manage work streams including requirements gathering and risk assessment.
- Work with researchers, engineers, and other stakeholders to define and prioritize features and capabilities across various workstreams.
- Manage multiple projects of moderate to high scope.
- Develop recommendations that translate into a course of action.
- Design, implement, and build operational processes that help the teams/organizations scale.
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