---
title: 'Founding GTM Lead at unsiloed.ai'
canonical: 'https://feeny.ai/job/founding-gtm-lead-unsiloed-ai-san-francisco-het4pd8chmge'
type: 'job'
last_seen: '2026-09-05'
---

# Founding GTM Lead at unsiloed.ai

- **Company:** unsiloed.ai
- **Location:** San Francisco, CA
- **Compensation:** $120k–$200k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-27
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/unsiloed-ai/am9icG9zdDpWtjVMu5s23-fH4WfXXc0x

## Job description

## About Unsiloed

Unsiloed is building the infrastructure layer for unstructured enterprise data. We are backed by Y Combinator and a group of well-known investors and operators from the Valley.

A huge amount of enterprise work still runs on documents that machines cannot read well. Loan files, broker statements, insurance claims, medical records, contracts, and financial reports. Teams pay people to read them, copy values into systems, reconcile mistakes, and chase exceptions. AI applications built on top of these documents inherit the same problems: hallucinated fields, missed line items, broken tables, and low confidence the moment anything goes into production.

Unsiloed turns these documents into structured, production-grade outputs that AI systems and operational teams can actually build on. The right field, in the right schema, with the right confidence signals, at a quality customers are comfortable putting in front of their own end users.

We are already in production with customers across financial services, legal, insurance, and healthcare. Some are using us to replace manual operations work that used to take entire teams. Others are building net-new AI products on top of us and taking them to market themselves. Every deal so far has been founder-led, and the next step is turning that into a repeatable go-to-market motion.

On deployment, we run as a managed API, inside private VPCs, and fully on-prem for customers that require it. Our customer base sits in regulated industries with real compliance bars, and we are built for teams that care deeply about security, reliability, and deployment flexibility.

## What you will do

Work alongside the founders on the GTM motion end to end Outbound, inbound qualification, discovery calls, POCs, pricing conversations, procurement, and closing early customers.

Help refine and operationalize what is already working Improve messaging, outbound sequences, qualification criteria, POC structure, pricing approaches, and customer workflows as we learn more about the market.

Run and evaluate GTM experiments Outbound email, founder-led content, partnerships, communities, events, and other distribution channels. Help us figure out which motions consistently generate high-quality pipelines for a technical infrastructure product like ours.

Get close to customers and the product You will sit in on customer calls, understand where the product is resonating or breaking down, and feed those learnings back into product, positioning, and sales strategy.

Help define the commercial foundation of the company This is a highly collaborative role with significant influence on how we position the company, define the ICP, shape the sales process, and build the early GTM culture.

Over time, help scale the function As the motion becomes more repeatable, you will help us think through how to grow the team across sales, outbound, partnerships, solutions engineering, and related functions.

What success looks like

In the first 3 months

- Work closely with the founders on active deals and pipeline generation
- Develop a strong understanding of the ICP and buyer pain points
- Run technical POCs with customers
- Contribute to building a more repeatable founder-assisted sales process

In 6-12 months

- Consistent pipeline generation outside founder networks
- Clear understanding of which verticals and motions convert best
- Repeatable POC and qualification process
- Improved sales velocity and conversion rates
- Early foundation for scaling the GTM organization

## About unsiloed.ai

## Company Overview
- **One-liner**: Unsiloed AI provides a production-grade API that converts complex multimodal documents (PDFs, images, spreadsheets) into structured Markdown and JSON for LLMs and AI agents.
- **Entity Type**: Private (YC F25, Pre-seed round led by Y Combinator)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024 (per LinkedIn) / 2025 (per Y Combinator profile) – conflicting reports
- **Founders**: Aman Mishra (Co-Founder & CEO) and Adnan Abbas (Co-Founder & CTO)

## Core Business
- **Primary industry**: Document AI / Unstructured data infrastructure for LLMs and AI agents
- **Target customers**: B2B – Enterprise (Fortune 150 banks, NASDAQ-listed companies) and startups in accuracy‑sensitive verticals (finance, legal, healthcare)
- **Mission or purpose**: “Build the infrastructure layer for turning unstructured data into structured, queryable, and LLM‑ready assets.”

## Products & Services
- **[Unsiloed AI API](https://www.unsiloed.ai/)**: A set of three core capabilities (Parse, Extract, Split) that can be used standalone or chained end‑to‑end. The API ingests PDFs, images, spreadsheets, and scanned documents, and outputs clean Markdown and schema‑validated JSON with confidence scores per field. It handles mixed layouts (tables, charts, forms, handwriting, multi‑page tables) and preserves document hierarchy.

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric**: Total Funding – Pre‑seed round (announced 2025-10-08) with 3 investors, led by Y Combinator (primary partner: Nicolas Dessaigne)
- **Notable Investors/Partners**: Y Combinator (backed through Batch F25)
- **Growth Signals**: Already processing “millions of pages of complex documents each week” for Fortune 150 banks, NASDAQ‑listed enterprises, and 10+ YC startups. Public benchmarks claim #1 accuracy vs. LlamaIndex, Gemini, Mistral, and Unstructured.io. Team size: 2 employees (–33.3% YoY according to LinkedIn).

## Competitive Advantages
- **Proprietary dual‑stream vision model**: A data stream captures tokens/numbers/entities while a layout stream captures image tokens, bounding boxes, alignment, and indentation hierarchy; a cross‑attention layer fuses both for reasoning over content *and* structure.
- **Domain‑specific decoder**: Trained on millions of real enterprise documents (not synthetic data) across legal, finance, healthcare; outputs are schema‑conditioned with cross‑field constraints.
- **Heatmap‑based chunking**: Focuses compute on pivot zones (numerical columns, merged cells), preserving related information across page breaks.
- **Air‑gapped deployment**: Supports managed and air‑gapped on‑prem environments for privacy‑sensitive verticals, with identical API surface.

## Strategic Focus
- **Current priorities**: Scale the API to serve “more AI agents reading from and writing to documents than humans.” Continue improving domain‑specific decoder accuracy via reinforcement learning pipeline and expand enterprise sales, especially in finance, legal, and healthcare.
- **Direction for growth**: Build the universal interface layer for unstructured data in AI workflows.

## Why Work Here
- **Culture highlights**: Small team of ex‑Quant developers and AI researchers; YC‑backed startup with direct exposure to founders and high‑impact work.
- **Remote/hybrid/office policy**: In‑office at San Francisco (all open roles listed as “In office” on [Gem careers](https://jobs.gem.com/unsiloed-ai)).
- **Notable perks or engineering culture**: Opportunity to define the infrastructure layer for AI agents, work on cutting‑edge vision models, and ship a product already used by Fortune 150 enterprises. Open roles: Founding GTM Lead, Founding ML Researcher, Founding Software Engineer (Backend and Infrastructure).

## Sources
1. [unsiloed.ai](https://www.unsiloed.ai/) – Official product page
2. [unsiloed.ai/careers](https://www.unsiloed.ai/careers) – FAQ, technical details
3. [ycombinator.com](https://www.ycombinator.com/companies/unsiloed-ai) – YC company profile (founding, team, funding)
4. [linkedin.com](https://linkedin.com/company/unsiloed-ai) – LinkedIn company page (headcount, financials, founders)
5. [jobs.gem.com](https://jobs.gem.com/unsiloed-ai) – Current open positions and work location

## Other roles at unsiloed.ai

- [Founding ML Researcher](https://feeny.ai/job/founding-ml-researcher-unsiloed-ai-san-francisco-jj09z4hhjseb) — San Francisco, CA
- [Founding Software Engineer - Backend and Infrastructure](https://feeny.ai/job/founding-software-engineer-backend-and-infrastructure-unsiloed-ai-san-francisco-bj29hvewqt6m) — San Francisco, CA
- [Founding GTM Lead](https://feeny.ai/job/founding-gtm-lead-govsignals-new-york-9w2ktd89rzdd) — New York, NY
- [Founding GTM Lead](https://feeny.ai/job/founding-gtm-lead-centari-new-york-dwpf9tjfysj5) — New York, NY
- [Founding GTM Lead](https://feeny.ai/job/founding-gtm-lead-genpeach-ai-new-york-hspy65rtaqhs) — New York, NY
- [Founding GTM Lead](https://feeny.ai/job/founding-gtm-lead-infinite-presidio-v5jf3782m868) — Presidio
- [Founding GTM Lead](https://feeny.ai/job/founding-gtm-lead-emergence-capital-partners-san-francisco-81dnjeb3n441) — San Francisco, CA