
AI Product Manager @ Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Product manager with 17+ years of experience building data products and solutions for the largest enterprises in the world.
The University of North Carolina at Chapel Hill
Master's, Information Science
N/A – Present
Savitribai Phule Pune University
Bachelor's, Computer Engineering
N/A – Present
Senior Product Manager
January 1, 2022 – Present
Product Manager (Rotation)
January 1, 2021 – December 1, 2021
Google Cloud Data Specialist
November 1, 2019 – December 1, 2021
Microsoft
Senior Data & AI Solutions Architect
July 1, 2018 – October 1, 2019
San Francisco Bay Area
Microsoft
Senior Data and AI Engineer
July 1, 2011 – June 1, 2018
San Francisco Bay Area
Design and Implement Big Data Analytics Solutions
Microsoft
June 24, 2026 – Present
MCITP: Database Administrator 2008
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Engineer Associate
Microsoft
June 24, 2026 – Present
MS: Design and Implement Cloud Data Platform Solutions
Microsoft
June 24, 2026 – Present
MCTS: SQL Server 2008, Implementation and Maintenance
Microsoft
June 24, 2026 – Present
OpenHack: Modern Data Warehousing Coach
Microsoft OpenHack
June 24, 2026 – Present
OpenHack: Modern Data Warehousing
Microsoft OpenHack
June 24, 2026 – Present
Microsoft Certified Solutions Expert: Cloud Platform and Infrastructure
Microsoft
June 24, 2026 – Present
MS: Implementing Microsoft Azure Infrastructure Solutions
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in large, established tech companies (Google, Microsoft) with a clear progression from engineering/architecture roles to product management. While this demonstrates adaptability and leadership, the target role is 'Backend Engineer'. The recent shift to product management might indicate a different career trajectory than a pure engineering role. The breadth of experience across various data platforms and cloud services suggests a willingness to learn and adapt, but the direct alignment with a hands-on backend engineering role needs further validation.
Soft Skills & Operational Fit
The candidate's experience as a Product Manager and Solutions Architect at Google and Microsoft indicates strong leadership, communication, and problem-solving skills. They have a proven ability to de-escalate critical customer situations, provide clear direction, and foster inter-team communication, which are crucial for operational fit. The focus on customer engagement and sales enablement also suggests a strong business acumen.