Technical Product Manager

Responsibilities:

• Develop use cases, personas, and scenarios to present solutions effectively to internal and external stakeholders.
• Collaborate with engineering teams to build and deploy solutions with optimal resources.
• Resolve development queries based on understanding of customer business.
• Scope and prioritize activities according to business and customer impact.
• Provide input for QA test plans and certification, assist in UAT certification.
• Conduct regular competitor and market analysis to understand trends.

Technical Skills - Must Have:

• Solid understanding of cloud-based systems and industry-specific knowledge in Banking, Finance, Healthcare, Web/Social, etc.
• Prototyping, UI skills, and experience with tools like Postman.
• Understanding of AI and ML fundamentals, particularly in model deployment and lifecycle management.
• Must have worked on at least 1 AI product development project of large size ( min duration of 6-8 months )
• Good knowledge in software development and web technologies
• Working knowledge any two technologies out of Web Service concepts, JavaScript/Java, and JSON/XML / Python / React / Agentic AI
• 4-6 years experience in roles like BA or PM in a product company.

Nice-to-have

• Exposure to developer tools, coding/engineering, and design experience is a plus.
• Ability to operate effectively in fast-paced environments with multiple priorities.
• Excellent communication and presentation skills for working with sales and engineering teams.

Nice-to-Have:

AI/LLM Knowledge:

o Exposure to natural language processing, especially LLMs, with hands-on experience in fine-tuning or applying pre-trained models in product use cases.

o Familiarity with AI-driven features such as intelligent data processing, recommendation engines, and customer interaction enhancements.

Agile/Process Skills:

o Practical knowledge of Agile and iterative development, experience in managing and delivering AI-enhanced projects.

o Prior experience in working closely with cross-functional AI/ML and data science teams.

Process Skills:

General SDLC process knowledge. Experience with Agile and Scrum methodologies.

Strong in gathering/documenting user requirements and writing technical specs.

Behavioral Skills:

Proactive, positive attitude with a strong learning orientation.

Excellent team collaboration skills, especially in virtual teams.

Self-motivated with minimal supervision, able to communicate directly with clients and report accurately.

Education:

Bachelor s in Engineering or a Master s in Computer Applications .

Certification - Must have at least 1

Certified Product Manager Agile scrum master , Agile Product Owner, Agile coach

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.