Amantya Technologies - AI Product & Business Development Manager

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.