Mohit Ambwani
@mohitambwani
I’m a Principal Product Manager building AI-first enterprise SaaS platforms and monetization growth.
What I'm looking for
I’m a hands-on product leader with 12+ years building enterprise SaaS platform ecosystems and platform-native products, specializing in AI-first platform architectures for 0→1 journeys that accelerate GTM and unlock new TAM. In my current role, I lead platform AI, no-code SaaS initiatives, and platform-native mobile applications across multiple healthcare product lines.
I spearheaded an AI-assisted engagement workflow that enables rule-as-code for regulated patient journeys, including configurable real-time interventions for 10,000+ patients and 100% audit traces. I also engineered a vectorization pipeline and NLP search for intent-based, personalized content discovery, and architected a self-service mobile app generation wizard that cut RFP-to-production time by 95% (~6 months to ~2 weeks), generating production-grade pre-sales demo applications contributing to $2.5M ARR.
I’ve driven platform monetization and operational excellence—launching a Patient Support Program vertical ($500K ARR), building administration capabilities that reduced average platform administration time by 15X, and refactoring microservices to support product lines. Earlier, as a Data Platform Product Manager, I overhauled data aggregation (reducing missing data failure by 15% and improving issue detection by ~30%) while reducing developer/analyst effort by 37X; I also led launches in risk management products, including IFRS Hedge Accounting and valuations with EU GDPR-aligned data redaction.
Experience
Work history, roles, and key accomplishments
Principal Product Manager
BrightInsight Inc
Nov 2022 - Present (3 years 7 months)
Led AI and no-code SaaS platform initiatives, including an AI-assisted rule authoring workflow for 10,000+ patients with configurable rule-as-code ensuring 100% audit traces. Built a self-service mobile app generation wizard that cut RFP-to-production deployment time by 95% (6 months to ~2 weeks) and helped generate $2.5M ARR, while reducing admin effort by 15X and launching monetization (e.g., $5
Product Manager, Data Platform
Envestnet Yodlee
Jul 2019 - Nov 2022 (3 years 4 months)
Led initiatives for a core data platform powering personal finance products, overhauling the data aggregation engine to improve reliability and efficiency. Reduced missing data failures by 15%, improved issue detection by ~30%, cut developer/analyst effort by 37x via like-failure clustering, and added new asset classes (Private Equity and Crypto) to expand user net-worth views.
Applications Dev & Product Owner
Oracle Financial Services Software Limited
Aug 2014 - Mar 2018 (3 years 7 months)
Owned the launch and roadmap for banking risk management products, including IFRS Hedge Accounting & Valuations to help banks measure hedge effectiveness. Improved enterprise adoption by expanding product compatibility from a 1x2 to a 3x3 technology matrix and enabled GDPR-aligned data redaction protocols for application data models.
Education
Degrees, certifications, and relevant coursework
Indian School of Business
Post Graduate Program in Management, Finance & Strategy
2018 - 2019
Grade: CGPA – 3.27 / 4
Activities and societies: ISB Torch Bearer award (top 2.5%); Dean’s Appointee (1%); ISB radio podcast host; Dean’s Appointee jury member for academic violations tribunal (26 cases).
Post Graduate Program in Management with a focus on Finance & Strategy. Earned a CGPA of 3.27/4 and received notable academic and leadership recognition.
National Institute of Technology, Rourkela
Bachelor of Technology, Civil Engineering
2010 - 2014
Grade: CGPA – 8.07 / 10
Activities and societies: Won ‘Best Internship’ scholarship (2013) for a construction management project at RITES Limited.
Bachelor of Technology in Civil Engineering. Earned a CGPA of 8.07/10 and received a scholarship award for an internship project.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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