Deskripsi Pekerjaan
Join Google as a Customer Engineering Manager focused on Artificial Intelligence. In this pivotal role, you will lead a team of dedicated engineers and technical professionals whose mission is to drive cloud AI adoption for our enterprise clients. You will act as a trusted advisor, helping customers leverage Google's advanced AI portfolio, including TensorFlow, Vertex AI, and Generative AI tools, to solve complex business challenges. Your leadership will be instrumental in translating cutting-edge technical capabilities into tangible business value.
As a key member of our Customer Engineering team, you will collaborate closely with product, engineering, and sales teams to deliver customized technical solutions. You will establish yourself as a subject matter expert in the AI space, conducting deep-dive technical workshops and guiding customers through their digital transformation journeys. This is a unique opportunity to shape the future of AI adoption in the cloud ecosystem and work at the intersection of technology and strategy.
Tanggung Jawab
- Lead, mentor, and develop a high-performing engineering team of technical experts and solution architects.
- Drive strategic cloud AI adoption initiatives for key enterprise customers and partners.
- Collaborate with Google’s product teams to provide feedback and shape the future of AI tools.
- Act as a trusted advisor to C-level executives, translating technical AI concepts into business value.
- Design and deliver complex technical solutions using Google’s advanced AI portfolio.
- Conduct technical discovery sessions and architectural reviews for large-scale AI deployments.
- Represent the company at industry events and technical conferences to build brand authority.
Kualifikasi
- Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree is preferred.
- 5+ years of experience in software engineering, data science, or machine learning.
- 3+ years of experience in people management, leading cross-functional teams.
- Deep technical expertise in Cloud AI, Machine Learning, and Deep Learning frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of Generative AI models, LLMs, and prompt engineering.
- Excellent communication and presentation skills, with the ability to bridge the gap between technical and non-technical audiences.
- Experience working directly with enterprise customers and managing high-stakes technical projects.