Product leadership
Vision, PR-FAQ, portfolio strategy, roadmap sequencing, executive decisions, and cross-functional operating mechanisms.
Principal / Staff Product Manager
Nitish
Prasad
Enterprise AI platforms, workflow systems, and marketplace products.
Principal/Staff product leader with 14 years across Amazon, Amazon Pay, marketplaces, fintech infrastructure, and AI systems. I turn ambiguous operating problems into durable product platforms by defining the workflow and economic wedge, separating deterministic controls from model judgment, and establishing evaluation, observability, and release mechanisms.
14 years product leadership$16B+ incentive portfolio1,600 NA and EU users6,000+ platform users migrated
Implemented AI platform
Early signal. Inspectable proof.
A connected operating model spanning model access, knowledge, evaluation, release integrity, and agent runtime—not a collection of disconnected demos.
01 / AccessLLM Gateway
Routing, DLP, quotas, cache, fallback, and cost attribution.
30 tests 02 / KnowledgeRAG + GraphRAGCitations, guardrails, ontology traversal, and tenant isolation.
33 cases 03 / EvidenceEval + TracesQuality, safety, latency, cost, fallback, and failure isolation.
150K-span burst 04 / IntegrityRelease GatesAdversarial probes, redacted evidence, verdicts, and ownership.
40-probe gate 05 / RuntimeAgents + MCPBounded delegation, authentication, rate limits, and kill switch.
4 agents · 2 toolsLeadership profile
Product judgment grounded in operating evidence.
Platform strategy, marketplace economics, and 0-to-1 execution—connected through measurable operating mechanisms.
AI product judgment
LLM gateway strategy, RAG and GraphRAG boundaries, agent/MCP contracts, evaluation, guardrails, and release gates.
Platforms and systems
Microservices, API strategy, Salesforce integration, AWS services, multi-region deployment, GDPR review, and migration design.
Execution and insight
Customer research, workflow shadowing, metric design, phased rollout, experimentation, requirements, and adoption evidence.
Experience
Fourteen years of product and operating depth.
Sr. Product Manager, Fees
Own strategy and operating mechanisms across a $16B+ 3P seller fee-incentive portfolio. Launched three programs associated with 171% lift in targeted ASINs and 41% GMS lift. Reframed a reporting request into Amplify, an AI seller-workflow intelligence platform embedded in Salesforce.
- Scaled to 1,600 NA/EU users
- Reduced preparation time 89%
- Achieved sub-500ms P95 latency
- Reduced infrastructure cost 52%
- Modeled inference cost down ~99%
Senior Product & Customer Insights Manager, CXBT
Translated customer evidence into roadmap decisions across 3P Seller and 1P Vendor ecosystems. Led studies covering returns, order management, Vendor Central UX, API discoverability, third-party software, and Supplier Chain Connect.
- Produced PR-FAQ inputs and decision memos
- Influenced Director and VP roadmap sequencing
Senior Program Manager, PSAS Operations
Led an enterprise platform migration from JIRA to Workfront for 29 teams and 6,000+ users. Built PMO and analytics functions, owned VP-level goals, and supported a 700-member organization.
- 29 teams migrated
- 100% operating-goal attainment
Senior Program Manager, Payments CX
Managed customer experience across 30+ Amazon Pay products. Delivered $4.8M in free-cash-flow impact through contact reduction, self-service workflows, and automated data pipelines.
Program Manager II, Sales Operations
Drove 200K+ leads, led a Salesforce CRM migration, and designed automated lead assignment, KPI dashboards, and commercial operating improvements.
Selected proof
Follow the work behind the claims.
Shipped enterprise productAmplify
Embedded AI workflow intelligence with measurable adoption, latency, and cost outcomes.
Implemented platform portfolioEnterprise AI PlatformGateway, GraphRAG, observability, red-team gates, MCP runtime, funding logic, and adoption contracts.
Live AI productSproutRouteVerified-data boundaries, production architecture, and an implemented MCP agent path.
Working portfolio toolAI Eval Control TowerModel evidence plus an implemented runtime trace workflow for quality, safety, cost, latency, and release decisions.
Contact