a
amoghraghuram

Amogh

@amoghraghuram

Lead Product Manager

India
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am a Lead Technical Product Manager specializing in AI strategy, agentic workflows, and enterprise system architecture. My career spans from building zero-to-one MVPs as a Full-Stack Developer, to engineering high-frequency trading systems at Societe Generale (processing billions in volume), to leading AI and algorithmic product verticals at fast-growing tech startups. I don't just write PRDs—I bridge deep technical execution with high-level product strategy. Whether you need a technical roadmap, AI integration planning, or rapid prototyping architecture, I can help you scale.... Continua a leggere

Competenze

a
amoghraghuram
Amogh
offline • 

Consulta i miei servizi

Strategia di business e innovazione
I will be your lead tech pm for ai strategy saas and engineering

Esperienza lavorativa

Lead Product Manager

Factory • Full time

Jun 2023 - Present3 yrs 1 mo

AI & Agentic Workflow Integration Led the Factori MCP (Model Context Protocol) Rollout: Spearheaded the product architecture and launch of the Factori MCP, enabling enterprise clients to seamlessly connect real-world data streams (mobility, geospatial, identity) directly into their LLMs and agentic workflows. Enterprise AI Positioning: Positioned Factori’s proprietary Real-World Graph Model as a foundational layer for enterprise AI development, designing APIs that allow applied ML teams to feed real-world context into predictive models for demand forecasting and dynamic pricing. Rapid Technical Prototyping: Accelerated the product development lifecycle by personally building proof-of-concept data pipelines and internal tools using AI coding assistants (Claude Code) and backend-as-a-service platforms (Supabase) prior to formal engineering handoff. Core Product Strategy & Roadmap Ownership End-to-End Product Lifecycle: Owned the entire product vision and execution for Factori’s suite of 12+ data products (including Mobility, Places, People, and Economic modules), scaling the platform from initial datasets to a comprehensive enterprise data cloud. Roadmap Prioritization: Instituted rigorous, structured product planning cycles, balancing short-term GTM requests (e.g., custom data enrichment for retail site selection) with long-term strategic bets in the AI and agentic space. Cross-Functional Leadership: Acted as the central hub between data engineering, data science, and GTM teams. Translated complex, multi-terabyte geospatial and consumer graph data into plain-language, commercially viable features for non-technical enterprise buyers. Go-to-Market (GTM) & Business Impact Use-Case Expansion: Defined and launched targeted product solutions across major industry verticals (QSR, Retail, Supply Chain, AdTech), directly contributing to enterprise pipeline growth and adoption. Developer Experience (DX): Overhauled the developer portal, API documentation, and dataset s