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

$ 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 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.

• 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.
• 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.