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.
