Product Manager – AI Agent Platform (Technical PM)

About Us At Turgon AI , we’re reimagining how enterprise IT services are delivered by combining AI agents and forward-deployed engineers to build, integrate, and automate the enterprise data stack. Our vision is to create the AI-Native Accenture — where autonomous agents understand your ERP, CRM, and data systems and can deliver full-fledged data pipelines, insights, and system integrations. This is a $ 1.5T transformation opportunity , and we’re building the core team to make it real. If you’re a product leader who can code, think systemically, and thrive at the intersection of engineering, AI, and enterprise data — we’d love to talk. About the Role We’re looking for a Technical Product Manager to lead the productization of our AI Agent Platform that delivers automated data pipelines from ERP and SaaS systems into Snowflake’s medallion architecture (Bronze → Silver → Gold) . This is a hybrid role — part product manager , part project lead , and part technical operator . You’ll own product definition and roadmap, manage multi-agent orchestration use-cases, and lead forward-deployed engineers executing real client implementations. You’ll work closely with the founders to define our agentic workflow engine, customer experience, and deployment playbooks — and translate deep technical complexity into elegant, usable, enterprise-grade products. Responsibilities Define and own the roadmap for Turgon’s multi-agent platform and its integration with ERP, CRM, and data-warehouse ecosystems. Translate customer problems into detailed product specs — APIs, workflows, agent behaviors, UI/UX flows, and orchestration logic. Act as technical bridge between customers, engineers, and researchers — ensuring clarity, delivery, and continuous improvement. Lead and coordinate forward-deployed engineering pods delivering client solutions; ensure timelines, scope, and quality. Manage backlog, sprints, and cross-functional execution across AI, backend, and data teams. Define success metrics (latency, accuracy, cost per job, automation coverage, etc.) and drive iterative improvements. Partner with leadership on go-to-market strategy, pricing, and product packaging for enterprise clients. Stay on top of emerging developments in LLMs, LangGraph, dbt, Dagster, and Snowflake Tasks/Streams ecosystems to guide roadmap evolution. Requirements 4–8 years of experience in technical product management , data engineering , or AI-powered product development . Strong coding foundation (Python, SQL, or JS) — comfortable reading and writing production-level code. Experience in data pipeline , ETL , or AI orchestration environments (Snowflake, dbt, Airflow, Dagster, etc.). Demonstrated experience working with enterprise clients and managing end-to-end technical delivery. Exceptional ability to structure ambiguity into clarity — requirements, specs, timelines, and measurable impact. Excellent written and verbal communication; ability to convey complex technical concepts to engineers and executives alike. Proven experience leading cross-functional teams under startup-speed conditions. Nice to Have Experience with LangChain, LangGraph, or OpenAI Assistants API . Prior work in enterprise automation, ERP integration, or agentic systems. Background in ML, data engineering, or software architecture. Prior startup or early-stage experience, especially in technical founder or PM roles. What We Offer Competitive compensation with meaningful equity (ESOPs) . Hybrid, global culture with bases in San Francisco and New Delhi . Leadership role shaping one of the most advanced AI-native integration platforms in the world. Access to top AI researchers, engineers, and advisors across the U.S. and India. A fast, transparent, and execution-driven environment where product decisions happen daily.