Description
Drive end-to-end pre-sales activities and technical solutioning within the Data Science and Applied AI domain.
Responsibilities
- Execute B2B sales processes, including requirement gathering, solution scoping, proposal writing, and presentations.
- Develop business collateral showcasing ML and AI potential for enterprise applications.
- Collaborate with Solution Architects and Data Science teams to translate complex business problems into technical solutions.
- Work hands-on with customers to prototype Google Cloud product integrations and resolve technical blockers.
- Recommend enterprise architectures, integration strategies, and application infrastructure based on cloud best practices.
Required Skills
- 12-17 years of experience in B2B sales, customer relationship management, and technical solutioning.
- Hands-on experience with AI-powered document processing tools such as Google Document AI, ABBYY FlexiCapture, Kofax, Automation Anywhere, or UiPath Document Understanding.
- Experience deploying and scaling applications on Google Cloud Platform (GCP), AWS, or Azure.
- Familiarity with model lifecycle management, retraining strategies, and performance optimization for AI document models.
- Knowledge of RPA tools like UiPath or Automation Anywhere integrated with document AI.
- Understanding of regulatory standards such as HIPAA, GDPR, or PCI DSS within industries like healthcare or banking.
- Experience with enterprise content management (ECM) and search platforms.
- Strong analytical, abstraction, and presentation skills.
Preferred Skills