Skand Vijay

Product Manager

New York, New York, United States5 yrs 8 mos experience

Highly StableAI Enabled

Key Highlights

Led cross-functional initiatives to improve product adoption.
Increased product engagement and reduced churn through data-driven decisions.
Successfully launched AI-first products from prototype to traction.

Stackforce AI infers this person is a Product Manager with a strong focus on AI-driven SaaS solutions.

Contact

Skills

Core Skills

Product ManagementMachine Learning

Other Skills

RAG Systems0-1 Product DevelopmentAPI TestingData AnalysisStakeholder ManagementMicroservicesHuman Computer InteractionDatabase Management System (DBMS)Artificial Intelligence (AI)AI ProductivityLarge Language Model Operations (LLMOps)JavaScriptREST APIsOracle DatabaseAutomation

About

Hey, I am Skand, I build products that turn insight into measurable growth. My focus is on defining clear goals, testing ideas fast, and scaling what works. I have led cross-functional initiatives that improved adoption, retention, and customer trust across both enterprise and startup settings. My work has increased product engagement, reduced churn, and unlocked new market opportunities through data-driven decision making and clear execution. With my entrepreneurial thinking, I have taken AI-first products from prototype to traction, combining strategy, experimentation, and disciplined delivery. I care about evidence over assumption and impact over activity.

Experience

Capacity

Product Manager

May 2025 – Aug 2025 · 3 mos · New York, United States

Worked on finding new AI opportunities to improve productivity. Launched beta in 90 days for internal teams supporting 1.5M+ users.

RAG Systems0-1 Product DevelopmentProduct Management

Massachusetts institute of technology

Research Assistant

Jan 2025 – Jun 2025 · 5 mos · Cambridge, Massachusetts, United States

Privacy Economics & Consumer Behavior Research under Prof. Alessandro Acquisti | Designed user experiments investigating privacy trade-offs and personal data decision-making | Developed machine learning models simulating user behavior in targeted advertising and data privacy scenarios | Analyzed experimental data using Python and statistical modeling to uncover consumer attention patterns | Collaborated across MIT, CMU, Cornell, University of Michigan, and UC Berkeley research teams

API TestingData AnalysisMachine Learning