Back
Tier-1 brand, popular PM title, mid-level (5+ years), and metro location drive high competition.
Strong product and financial domain plus responsible-AI requirements make cross-industry transferability limited.
Explicit 5+ years plus mandatory LLM/MLOps and responsible AI controls increases shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Support product development and optimization using user research, customer feedback, and data analytics, contributing to innovative product creation and continuous improvement.
Collaborate closely with Engineering, Data Science/ML, Data Engineering, Design, and Risk/Controls teams to deliver end-to-end product solutions incorporating data, models, and user experience.
Analyze product metrics across the development life cycle and write requirements, epics, and user stories to support product development and strategic product roadmaps.
5+ years of experience in product management or a relevant domain.
Proficient in product development life cycle including discovery and requirements definition.
Experience implementing LLM-enabled analytics (e.g., RAG patterns, semantic search, summarization) with responsible AI controls (PII handling, prompt/tool safety, explainability, evaluation).
Experience with MLOps/ModelOps including monitoring, drift detection, retraining triggers, and model governance/auditability.
Experienced working at the intersection of AI/ML technologies and product management with a strong understanding of integrating AI assistants/tools (e.g., Claude, Copilot) under approved controls.
Comfortable collaborating closely with cross-functional teams spanning engineering, data science, and risk management for delivering complex data- and model-driven product features.
Strategic thinker capable of considering upstream/downstream implications of product features and driving data-driven product decisions.