---
title: 'Delivery Manager at Turgon AI'
canonical: 'https://feeny.ai/job/delivery-manager-turgon-ai-san-francisco-xa5qw9nb4sf8'
type: 'job'
last_seen: '2026-09-15'
---

# Delivery Manager at Turgon AI

- **Company:** Turgon AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-03
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.lever.co/turgon-ai/60cbbb49-4e7e-47ba-a1aa-d8e6af2fdad0

## Job description

You’re probably hearing how AI is going to change the world everywhere you look. However, despite the exponential improvements in capability, AI doesn’t work well without the right context; garbage in, garbage out, as they say. Unfortunately for the vast majority of companies in the world, that data lives in countless silos, resulting in AI projects that just don’t work that well. Turgon is building the engine that connects those silos, to fix that and unlock the true potential of AI. If you want to work on problems that actually matter at the frontier of unlocking *actual* enterprise value with AI, please read on…

## About the Role

Delivery is our moat. We're not just running projects — we're building a repeatable, AI-native model for enterprise transformation. You'll own a meaningful P&L across a portfolio of Turgon's largest accounts, scoping and running complex migration engagements while growing those accounts over time. You'll decide what AI agents handle, what humans own, and how it all fits together — then deliver results faster than clients think is possible. This is hire #2 on the delivery team. Almost everything here is uncharted territory. The work is hard, the impact is real, and when we succeed, you'll know it couldn't have happened without you.

## What We Offer

Competitive compensation (cash and equity) Direct exposure to co-founders and a hand in shaping company strategy The chance to define how AI gets implemented in the world's largest companies Strong benefits (medical, vision, dental, vacation, etc.) Interview Process Four steps, roughly two weeks end to end: 30 min screen with the hiring manager Take-home (1–2 hrs) + 30 min presentation — involves creating documents with AI 30–45 min culture-fit conversation with a sales lead 60 min sample case study 60 min with the founders, followed by offer and reference check

## Responsibilities

Own Client Delivery: You own the relationship with the client's program lead and steering committee — managing status, risks, and blockers. When a workstream falls behind, you diagnose and fix it, not just escalate. Bridge Every Function: You earn the trust of engineering, product, sales, and the client at once — translating what the client needs into what the team builds, and turning that work into crisp, client-ready output at every step. Build the Methodology: After every engagement, you codify what worked into reusable templates and frameworks. You're building the product, not just running projects.

## Requirements

5–10 years of experience, likely in a high-growth B2B startup, management consulting (MBB, Big 4, or strong boutique), or a founding role. Executive Presence: You're comfortable running steering committees, navigating procurement, and translating between technical teams and senior leadership. Business Instinct: You understand the why behind the why and proactively spot new opportunities — not just execute clear marching orders. Structured Thinking Under Ambiguity: When a client says “migrate 100+ systems,” you start decomposing workstreams and dependencies before anyone hands you a playbook — because there usually isn't one. Genuine AI Fluency: You don't need to build our agents, but you understand what they can and can't do — and can communicate that credibly to audiences ranging from execs to SMEs. Bias Toward Speed: You make judgment calls with incomplete information and tell clients what you're doing and why, rather than waiting for alignment across a dozen stakeholders. Comfortable Context-Switching: We work across ERP migrations, data platform modernizations, GIS upgrades, and more. No one person is an expert in all of it, and you'll need to learn new fields fast rather than specialize in one. Builder Mindset: You get energy from writing the process while running it — building the car while driving, with minimal hand-holding along the way. Nice-to-Have Skills Delivery experience at a high-growth B2B startup (Palantir, Databricks, Snowflake, Celonis, or similar). Management consulting background (MBB, Big 4, or strong boutique) who left to build and deliver, not just advise. Former founder or early operator at a startup. Familiarity with AI/ML workflows or agentic systems, even at a conceptual level.

## 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

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- [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
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