Key skills
AWSAzureCloudGoogle Cloud PlatformAIMLGenerative AIGCPGoogle CloudAgileScrumUser ResearchProduct ManagementCollaboration
About this role
Role Overview
- Drive AI Powered Product Innovation
- Lead end to end product lifecycle from ideation through launch for AI and ML products
- Develop compelling business cases by analyzing market opportunities and ROI projections for AI implementations
- Oversee product strategy for large scale data migration projects across cloud platforms including AWS, Azure, and GCP
- Guide data product development including ingestion pipelines, transformation layers, governance frameworks, and consumption APIs
- Balance technical debt management with feature delivery, advocating for architectural improvements
- Partner with client stakeholders, engineering teams, data architects, and ML engineers to deliver integrated solutions
- Conduct design thinking workshops and user research sessions to validate product direction
Requirements
- Bachelor's degree in Technology or Business related field (Master's preferred)
- 5-7+ years of experience in technical product management, solutions architecture, or software engineering
- 5+ years in product management roles with demonstrated end-to-end product ownership
- 3-5+ years of experience with AI/ML products, Generative AI, or data platform development
- 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies
- Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
Benefits
- Long-term B2B collaboration;
- Fully remote setup;
- A budget for your medical insurance;
- Paid sick leave, vacation, public holidays;
- Continuous learning support, including unlimited AWS certification sponsorship.