AI-Native Product Strategy
Developing products that think and building the AI product organizations that drive this shift.
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Vlad Grubman
Product, technology, and operations leadership.
Summary
I operate where high-level strategy survives contact with execution. I build amazing products, as well as the organizations that build them.
I have spent 15+ years in the trenches across FinServ, Healthcare, and Enterprise SaaS, and now I focus on the next divide: AI enablement. I build AI-native ecosystems and the teams required to run them. My approach is simple: I treat the product function as a system with inputs, outputs, and inefficiencies. I enter chaotic environments and impose order through rigorous product operations and execution.
Core Competencies
Organizational Architecture
Scaling the teams that ship the code.
Revenue Operations
Systematically identifying revenue leakage and building automated tools to recover it.
Enterprise Transformation
Turning legacy giants into product-led nimble beasts.
Experience Highlights
EPAM Systems | AI and Enterprise Transformation
The Mission: Enterprise-scale modernization, taking legacy giants and moving them into the AI era.
The Execution: Directed multiple high-stakes engagements focused on AI enablement and process modernization. Defined product strategy for AI-native ecosystems, identified high-value use cases, and translated abstract AI capabilities into concrete, shippable requirements.
The Impact: Built resilient product organizations capable of operating in a post-AI landscape. Delivered functioning AI ecosystems and revenue-generating products, replacing theoretical roadmaps with deployed software.
B2B Soft | Revenue Recovery
The Problem: Manual reconciliation was costing dealers massive amounts of lost revenue.
The Fix: Designed and built an automated Carrier Commissions Reconciliation System.
The Impact: Recovered 60-80% of lost revenue for dealers and eliminated manual grunt work. Also modernized the flagship Retail Management System with an omni-channel strategy, opening new revenue streams.
Allscripts | Clinical Systems
The Problem: Clinicians were tethered to workstations, and manual record-keeping was slowing patient care.
The Fix: Delivered a mobile-first clinical data application and a high-availability Call Center application.
The Impact: Replaced manual workflows with deep clinical integrations (EMR, Imaging) and enabled clinicians to work untethered, directly improving speed and quality of care.