Location: Hyderabad, Telangana, India

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations.

As a Senior Product Associate in Business Banking focused on building out specific AI use cases, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success. 

Job responsibilities

• Work to gain a deep understanding of intricate business challenges and processes, and identify opportunities for AI/ML solutions.
• Translate user and business needs into strategy and actionable requirements
• Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
• Writes the requirements, epics, and user stories to support product development
• Considers and plans for upstream and downstream implications of new product features on the overall product experience
• Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
• Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle 

Required qualifications, capabilities, and skills

• 3+ years of experience or equivalent expertise in product management or a relevant domain area
• Strong communication skills for technical and non-technical stakeholders
• Demonstrated ability to build trust and foster collaboration
• Experience driving the full product lifecycle for products, writing product documents, and leading tech teams from idea to alignment and through execution and launch
• Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through
• Effective verbal and written communication skills with technical and business audiences
• Hands-on experience developing and deploying Data Science and ML capabilities in production at scale

Preferred qualifications, capabilities, and skills

• Demonstrated prior experience working in a highly matrixed, complex organization
• Experience developing and using AI Agents in a professional setting
• Familiarity with AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks. 
• Experience defining robust evaluation sets and leading teams through quantitative and qualitative evaluations and iterations to achieve reliable, high-quality delivery.
• Proven track record of delivering and launching successful products at scale.