Technical Program Manager III, AI Customer Engagement, Google Cloud
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Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience building tools and automation for artificial intelligence/machine learning (AI/ML) infrastructure.
Preferred qualifications:
- BA or BS degree in Computer Science, Engineering, or a related field.
- 5 years of experience managing cross-functional or cross-team projects.
- 5 years of experience in customer-facing roles within the technology industry, preferably in the AI or machine learning space.
- Understanding of the issues and opportunities presented by AI technologies.
- Understanding of driving customer success and delivering exceptional customer experiences.
- Excellent communication and presentation skills, with the ability to articulate technical concepts to a non-technical audience.
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.
AI and Infrastructure's PA-CE team (Poduct Area-Customer Engagement) team is responsible for representing all the infrastructure and AI tooling provided by AI and Infrastructure to all the internal product-areas of Google. It is a small yet impactful team responsible to act as a connective tissue and ensure our internal product-areas get to use the latest and best AI and Infrastructure tooling to help Google become the world-leader in AI. The team is at the forefront of Google's AI revolution, empowering product areas (PAs) across the company to leverage technologies like Gemini, Uniserve, and JAX.
In this role, you will be responsible in driving the successful adoption of AI and infrastructure (AI2) technologies within the product areas. You will collaborate closely with the Director of Product-Area Engagement and key stakeholders to define and execute strategies that ensure seamless integration, maximize customer satisfaction, and accelerate the development and launch of AI-powered advertising solutions.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 $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
- Collaborate with the Director of product area engagement to define and implement comprehensive customer engagement plans for the YouTube product area.
- Identify and prioritize key customer needs and issues, and develop tailored strategies to address them effectively. Track and measure the effectiveness of customer engagement initiatives, and make data-motivated recommendations for improvement.
- Provide technical guidance and support to ensure smooth implementation and adoption of AI and infrastructure solutions. Develop and deliver training materials and resources to educate YouTube teams on the benefits and capabilities of AI2 technologies.
- Proactively address any concerns or issues that arise during the customer engagement process, ensuring a positive and seamless experience for YouTube as a AI and infrastructure customer.
- Translate customer insights into actionable recommendations for product and program improvements and enhancements and advocate for the customer.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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