Designation - AI Product & Business Development Manager
Roles and Responsibilities:
- Lead the product strategy and roadmap for your AI product(s).
- Work closely with data scientists, engineers, designers, and business development to ensure the AI product aligns with technical feasibility, business goals, and user needs.
- Conduct market research and user analysis to identify opportunities and define product requirements.
- Develop and manage product backlogs, user stories, and acceptance criteria.
- Own the product roadmap and prioritize features based on data and user feedback.
- Track and measure product performance using key performance indicators (KPIs).
- Stay up-to-date on the latest AI trends and technologies.
Qualification:
- MBA from a reputed college. Engineering Background would be a big Plus.
- Minimum 8+ years of experience in product management, preferably with experience in AI based technical products.
- A strong understanding of the AI/Machine Learning (ML) landscape and its capabilities.
- Proven ability to define product vision, translate user needs into actionable features, and prioritize effectively.
- Experience working with AI/ML for any industry vertical (Telecom would be added bonus).
- Experience building and launching data-driven products. A track record of success in bringing complex technical products to market.
- Develop and implement the business strategy for your AI group.
- Identify and prioritize target markets and use cases for AI solutions
- Lead the development of business plans and financial models for AI projects.
- Build relationships with key stakeholders across the organization to secure buy-in for AI initiatives.
- Manage and develop partnerships with external vendors involved in AI development.
- Track and measure the return on investment (ROI) of AI projects.
- Communicate the business value of AI to leadership and other departments.
- Experience working in an agile development environment.
- Excellent communication and collaboration skills to bridge the gap between technical and non-technical stakeholders.
- Familiarity with specific AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) would be a big advantage.
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