Ashutosh Patnaik

Owns end-to-end product roadmap for enterprise AI deployment initiatives, translating business requirements into PRDs and aligning cross-functional teams. Drives go-to-market and adoption strategy for AI-assisted workflow automation tools, resulting in a 35% reduction in manual process time.

Owned end-to-end product roadmap and requirements for an AI-powered data operations platform, using customer discovery and user research to prioritize backlog and drive a 20% increase in CSAT and a 10-point improvement in NPS within 18 months. Analyzed product telemetry and usage data to identify friction points and translate insights into prioritized product requirements.

Defined and executed go-to-market strategy for new marketplace product capabilities, using competitive and market analysis to shape positioning and drive a 25% increase in feature adoption and a 10% uplift in revenue. Led requirements definition and rollout planning for AI-driven data quality automation, improving catalog accuracy and enabling stronger downstream business decisions.

Managed end-to-end product launch and brand onboarding processes, coordinating cross-functional stakeholders to ensure requirements were met and marketplace standards upheld. Improved catalog data quality and operational efficiency by streamlining onboarding workflows and standardizing product listing processes across teams.

Pursued a Bachelor of Engineering in Mechanical Engineering, gaining a strong foundation in engineering principles and problem-solving skills.

Completed the AI Product Management certification, focusing on integrating AI capabilities into product strategy and delivery.

Achieved the Tableau Desktop Specialist certification, validating skills in data visualization and analytics using Tableau.