Open to opportunities

Vaibhav Verma

@vaibhavverma

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Product manager delivering AI/ML-driven observability and forecasting across multi‑cloud platforms.

United States

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What I'm looking for

I seek product roles where I can lead AI/ML platform initiatives, drive measurable business impact, and collaborate cross‑functionally to scale secure, data-driven products.

I am a product manager with 5+ years building AI/ML-driven anomaly detection, forecasting, and observability solutions for large-scale, multi‑cloud environments. I have launched secure onboarding and licensing workflows for 20K+ customers, pioneered ML forecasting engines that improved accuracy and cost savings, and led platform observability initiatives that increased visibility for tens of thousands of customers.

I partner closely with engineering, executives, and customers to translate telemetry and behavioral data into measurable product impact. My work has reduced incidents, lowered support load, improved personalization and engagement, and automated ESG reporting using generative AI—demonstrating both technical depth and business outcomes.

Experience

Work history, roles, and key accomplishments

Product Manager

Hewlett Packard Enterprise

Jul 2023 - Nov 2025 (2 years 4 months)

Launched AI-powered anomaly detection and ML forecasting across Aruba networking and GreenLake Cloud, delivering $500K+ annual energy savings, 85% visibility gains, and scalable onboarding for 20K+ customers while reducing incidents and support tickets.

Product Management Cloud Platforms Observability Onboarding Forecasting Generative AI Telemetry Stakeholder Management

Product Manager

Credit Suisse

Sep 2017 - Jun 2021 (3 years 9 months)

Led global Investment Research platform used by 3,000+ relationship managers across 17 countries, increasing investment capture 42%, raising personalization adoption 60%, and generating $15M/year in cross-sell revenue through analytics and A/B testing.

Product Management Analytics A B Testing Personalization Dashboarding User Research Stakeholder Management SQL

Software Engineer

Credit Suisse

Jul 2015 - Sep 2017 (2 years 2 months)

Built ML tooling (XGBoost) with interpretability and NLP-driven scenario generation to improve credit risk forecast accuracy by 18% and fixed schema issues that prevented data integrity problems across downstream systems.

Machine Learning XGBoost NLP Data Engineering Model Interpretability Data Quality ETL SQL

Education

Degrees, certifications, and relevant coursework

University of California, Irvine, The Paul Merage School of Business

Master of Business Administration, Product Strategy, Digital Transformation

2023 - 2023

Activities and societies: Finalist (Top 5/51 teams) – SAP + Mars University Challenge in Product Management; project on AI-powered customer segmentation and seasonal promotions.

Completed a Master of Business Administration with focus on Product Strategy and Digital Transformation and was a finalist in the SAP + Mars University Challenge.

National Institute of Technology, Tiruchirappalli

Bachelor of Technology, Computer Science & Engineering

2011 - 2015

Activities and societies: Undergraduate project: Using NLP (WordNet) to generate a visual storyboard from input text.

Earned a Bachelor of Technology in Computer Science & Engineering; completed a project using NLP (WordNet) to generate visual storyboards from input text.