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.