Product leader. Entrepreneur. Builder.

20 years in technology. Currently at Amazon, leading AI strategy and science platform development. Previously built and led a 60-person engineering organization, shipping end-to-end systems for 30-minute food delivery. My platforms serve 200K+ customers worldwide.

20
Years in Tech
200K+
Users Worldwide
3+
Years AI Leadership
Vitaly Rodnenko

AI & Agentic Systems

Leading AI cultural change and science platform development at Amazon. Building workflow orchestration for agent-owned execution — from LLM orchestration and evaluation frameworks to production governance. Leading the leaders who drive adoption across the organization.

Supply Chain Optimization

Multi-horizon supply chain modeling — from demand forecasting to "laws of physics" optimization (MIP modeling). Building systems that plan long-term, steer mid-term, and execute short-term, balancing strategy and tactics at every horizon. Heavy use of ML, DL/RL, scalable data pipelines, and high-throughput inference.

E-Commerce & Platforms

Built end-to-end IT systems for 30-minute food delivery — mobile, web, ML/AI personalization, backoffice, and integrations. Shipped integration platforms serving 200K+ customers worldwide across 200+ global carriers. Experience spans the full product lifecycle from zero to scale.

The AI PM's Job — Own Impact, Not Models
The PM's priority is not to design prompts. It's to own what the agent is supposed to do, how success is measured, and how autonomy expands safely.
Agentic Operating Model — What to Migrate First
Not all workflows are equal candidates for agent ownership. Select by observability, repeatability, and reversibility.
The New Org Chart: Why Your Next Hire Should Be an Agent
An agent is not 'AI in a feature.' It is execution capacity. The right starting point is the org chart, not the model.