--- title: 'Product Manager – AI Agent Platform (Technical PM) at Turgon AI' canonical: 'https://feeny.ai/job/product-manager-ai-agent-platform-technical-pm-turgon-ai-delhi-f2jzh9gg900z' type: 'job' last_seen: '2026-09-08' --- # Product Manager – AI Agent Platform (Technical PM) at Turgon AI - **Company:** Turgon AI - **Location:** Delhi, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-12-05 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/turgon-ai/90aeb3a1-ca79-467e-ba71-9d125a770c21 ## Job description ## 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. ## About Turgon AI ## Company Overview - **One-liner**: Turgon AI is the world's first AI-native system integrator that deploys swarms of specialized AI agents alongside human engineers to modernize legacy IT and data infrastructure for enterprises. - **Entity Type**: Private (Startup, Seed stage) - **Headquarters**: San Francisco, California, United States (with a secondary office in New Delhi, India) - **Founded**: 2024 - **Founders**: Ankur Varma (CEO), Nikhil Sama, Rudra Dalmia ## Core Business - **Primary industry/industries**: IT Services & Consulting, Enterprise Software, AI Infrastructure, Data Modernization - **Target customers**: Large enterprises (B2B) with legacy data systems, including those in finance, fintech, e-commerce, and traditional industries needing cloud migration and data unification. - **Mission or purpose statement**: To rewrite the data modernization playbook by using AI agents and human experts in tandem, delivering 5x faster delivery and 40% cost savings on data migration, system integration, data governance, and unification projects [linkedin.com](https://linkedin.com/company/turgon-ai). ## Products & Services - **Turgon Platform (The "Pod")**: A modular unit combining specialized AI agents (handling 80% of execution) and Forward Deployed Engineers (FDEs) for oversight. Capabilities include: - **Ontology Builder**: Autonomously scans call logs, transcripts, documents, schemas, and data flows to construct a complete architecture map without manual discovery. - **Pipeline Builder**: Automates code migration, schema mapping, and testing. - **Governance Layer**: Manages data lineage and compliance. - **Outcome**: Legacy system migration, cloud-native deployment, and analytics-ready platforms delivered in weeks, not years [turgon.ai](https://www.turgon.ai/platform). ## Market Standing - **Valuation/Market Cap**: Not disclosed (private startup). - **Key Metric**: 30 total employees; 18-50 employees reported on LinkedIn; rapid hiring in SF and Delhi. - **Notable Investors/Partners**: Founders are experienced (2x founders, ex-Bain, ex-PE investors, ex-Silicon Valley engineers). No external funding rounds publicly disclosed yet. - **Growth Signals**: Reported 5x faster delivery and 40% cost savings for clients. Active job postings for senior technical roles (Founding Engineer, Lead Engineer, Senior AI Engineer) and GTM roles (Founding Account Executive) indicating strong product-market fit and scaling phase. LinkedIn following of ~3,400 with 3% monthly growth. ## Competitive Advantages - **AI-Native Delivery Model**: Unlike traditional system integrators (Accenture, Deloitte) that rely on large teams of consultants, Turgon uses a "Pod" model where AI agents handle 80% of execution, drastically reducing cost and delivery time. - **Speed & Transparency**: Claims 5x faster delivery with full traceability of AI processes, avoiding the "black box" problem of typical AI deployments. - **Founder-Market Fit**: Leadership combines deep AI/engineering expertise (Nikhil Sama) with sales scaling experience (Rudra Dalmia) and venture-building (Ankur Varma), a rare mix in the integrator space. ## Strategic Focus - **Current priorities**: Scaling engineering and sales teams (hiring Founding Account Executives, Lead Engineers, and Generative AI Engineers). Expanding presence in both San Francisco and Delhi to build a global delivery model. - **Direction for growth**: Becoming the default AI-native integration partner for Fortune 500 companies migrating off legacy systems. Developing deeper agentic architectures to automate more of the modernization lifecycle. ## Why Work Here - **Culture highlights**: Described as "structured chaos, audacious goals, and shipping fast" by the leadership team [turgon.ai](https://www.turgon.ai/about). Serial entrepreneurs at the helm. Emphasis on "outcomes, not hours." - **Remote/hybrid/office policy**: Hybrid. San Francisco office (in-office or remote for some roles) and Delhi office (on-site). Forward Deployed Engineer roles are remote [jobs.lever.co](https://jobs.lever.co/turgon-ai). - **Notable perks or engineering culture**: Opportunity to work as a "Founding Engineer" or "Forward Deployed Engineer" on cutting-edge AI agent systems. Hands-on work with a modern tech stack: TensorFlow, PyTorch, MLflow, OpenAI, Snowflake, Python, TypeScript. Direct access to founders. Fast-paced, high-ownership environment typical of early-stage startups. ## Sources 1. [LinkedIn Company Page](https://linkedin.com/company/turgon-ai) 2. [Turgon AI Careers Page (Lever)](https://jobs.lever.co/turgon-ai) 3. [Turgon AI About Page](https://www.turgon.ai/about) 4. [Turgon AI Platform Page](https://www.turgon.ai/platform) 5. [Built In Company Profile](https://builtin.com/company/turgon-ai) ## Other roles at Turgon AI - [Delivery Manager](https://feeny.ai/job/delivery-manager-turgon-ai-san-francisco-xa5qw9nb4sf8) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-turgon-ai-san-francisco-x5tgd9wsszad) — San Francisco, CA - [Senior AI Engineer](https://feeny.ai/job/senior-ai-engineer-turgon-ai-delhi-tk4wrmc6pg6w) — Delhi, India - [Generative AI Engineer](https://feeny.ai/job/generative-ai-engineer-turgon-ai-delhi-7y01db5n3qa6) — Delhi, India - [Data Engineer](https://feeny.ai/job/data-engineer-turgon-ai-delhi-rqbs62tq5vgf) — Delhi, India - [Lead Engineer / Founding Engineer](https://feeny.ai/job/lead-engineer-founding-engineer-turgon-ai-delhi-7y86ep9ngnyp) — Delhi, India - [Founding Account Executive](https://feeny.ai/job/founding-account-executive-turgon-ai-san-francisco-ff0rs7mh0gt9) — San Francisco, CA