Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
  
• 5 years of experience in Conversation AI applications space, CCAI, or similar areas.
  
• Experience with speech recognition, natural language processing (NLP), text-to-speech (TTS), and related algorithms.
  
• Experience with Python and deep learning frameworks such as PyTorch or TensorFlow.
  
• Experience with conversational AI applications, chatbots, voice assistants, or similar technologies.
  

Preferred qualifications:

• Experience working with cloud-based ML platforms (e.g., Google Cloud Vertex Platform).
  
• Experience in building and deploying speech recognition systems (e.g., commercial or open source).
  
• Experience with contact center technologies and platforms.
  
• Knowledge of large language models, their architecture, training methodologies, and fine-tuning techniques.
  
• Familiarity with speech processing tools and frameworks (e.g., Librosa, Audacity, iZotope, etc.).
  

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

In this role, you will serve as a trusted advisor, adept at understanding customer challenges in automated speech recognition (ASR) and related fields. You will guide customers through practical deployment and maintenance of speech systems, collaborating to design tailored solutions. You will translate customer needs into actionable technical strategies, create high-quality technical content, and lead workshops. You will collaborate across teams to ensure smooth implementation, proactively gather customer feedback, and stay at the forefront of speech technology advancements to contribute to the development of new products and services.

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.

Responsibilities

• Serve as a trusted technical advisor, understanding and addressing customer challenges in automated speech recognition (ASR) and related fields (e.g., natural language understanding, text-to-speech).
  
• Guide customers through the practical challenges of deploying and maintaining speech systems, covering topics such as data pre-processing, speaker diarization, model monitoring, and feature management.
  
• Create and deliver high-quality technical content (i.e., best practice guides, tutorials, blog posts, sample code, presentations) for diverse audiences, ranging from technical specialists to business decision-makers.
  
• Partner with cross-functional teams (e.g., sales, engineering, product) to ensure seamless implementation and integration of speech solutions into customers' production environments.
  
• Represent the company at industry events and conferences, sharing expertise and building relationships with key stakeholders.