Google's gTech Users and Products (gUP) team is looking to advocate for Google's users by creating helpful and trusted experiences across the product ecosystem, and the Technical Solutions Consultant role aims to design and implement technical solutions to drive insights from user data, optimize workflows, and improve the user experience across products.
Requirements
- Experience in either system design or reading code (e.g., Java, C++, Python).
- Experience working with Machine Learning and Generative AI applications (e.g., deep learning, natural language processing, computer vision, pattern recognition), applied ML techniques, or using OSS frameworks (e.g., TensorFlow, PyTorch).
- Experience architecting and developing software or infrastructure for scalable, distributed systems.
- Experience in data and information management as it relates to big data trends and issues within businesses.
- Experience building and maintaining ETL pipelines.
- Experience coding with one or more programming languages (e.g., Python, Java, C/C++).
- Familiarity with cloud platforms (e.g., Google Cloud Platform).
Responsibilities
- Design, build, and maintain scalable data pipelines, ETL processes, and data management systems.
- Manage and optimize bug tracking and feedback classification systems. Troubleshoot technical issues related to existing data, tools, and workflows.
- Explore and integrate new Artificial Intelligence (AI) technologies to enhance user insights capabilities, identifying and recommending creative ways to improve and automate solutions.
- Understand and compare different ways to build and organize technical systems to recommend the best approach for gUP Gemini, Labs, and Research+ needs.
- Coordinate timelines, goals, and objectives for assigned project components, ensuring alignment and successful delivery. Effectively communicate technical strategies, progress, and outcomes to both technical and non-technical stakeholders.
Other
- Bachelor’s degree or equivalent practical experience.
- 3 years of experience troubleshooting technical issues for internal/external partners or customers.
- Ability to work closely with product teams, data scientists, and vendor operations.
- Effective communication of technical strategies, progress, and outcomes to both technical and non-technical stakeholders.
- Commitment to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
