---
title: 'Specialty Insurance Underwriter/Coverage Attorney/Consultant/Professional (Contract) at Brain Co.'
canonical: 'https://feeny.ai/job/specialty-insurance-underwriter-coverage-attorney-consultant-professional-qwspr442emtg'
type: 'job'
last_seen: '2026-09-09'
---

# Specialty Insurance Underwriter/Coverage Attorney/Consultant/Professional (Contract) at Brain Co.

- **Company:** Brain Co.
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/brainco/4132897e-ff0f-4637-b2c7-e8d499335e00

## Job description

## OUR MISSION

Rebuild how the world works, to make institutions work better for the people they serve.

ABOUT BRAIN CO.

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.

## WHY NOW

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.

You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗥𝗼𝗹𝗲

Brain Co is applying frontier AI to specialty insurance. We are building AI that reads specialty insurance policies — declarations, forms, endorsements, schedules of underlying, layered programs — and turns them into structured, decision-ready data. We need experienced specialty insurance underwriters/coverage attorneys/consultants/professionals to help us do it right.

You will work directly with our engineering team: telling us where our AI falls short, annotating insurance documents, reviewing AI-generated output, and helping us build the rubrics and benchmarks that define quality for our machine learning pipelines. Your expertise shapes the product so it reflects how specialty insurance is actually practiced.

We are looking for someone who can commit approximately 2–10 hours per week for an initial 3–4 months, with the opportunity to extend based on mutual interest and project needs.

𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗪𝗶𝗹𝗹 𝗗𝗼

- 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗲 𝗽𝗼𝗹𝗶𝗰𝘆 𝘁𝗼𝘄𝗲𝗿𝘀. Locate and annotate the limits structure within a given excess policy — limits, sublimits, retentions, attachment points, and how the layers stack.
- 𝗥𝗲𝗻𝗱𝗲𝗿 𝗰𝗼𝘃𝗲𝗿𝗮𝗴𝗲 𝗰𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻𝘀. Given an insuring agreement and its ensuing exclusions, produce a structured conclusion about how coverage responds to a described scenario.
- 𝗤𝗔 𝗮𝗻𝗱 𝗰𝗼𝗿𝗿𝗲𝗰𝘁 𝗹𝗮𝗯𝗲𝗹𝗶𝗻𝗴. Review AI-generated output, fix mislabeled data, and grade agent performance against what a seasoned practitioner would conclude.
- 𝗔𝗱𝗷𝘂𝗱𝗶𝗰𝗮𝘁𝗲 𝘁𝗵𝗲 𝗵𝗮𝗿𝗱 𝗰𝗮𝘀𝗲𝘀. Resolve the ambiguous, conflicting, and unusual situations — manuscript wordings, follow-form excess, nested exclusions, schedule-of-underlying disputes, implicit market conventions — that determine whether a product is trusted by real practitioners.
- 𝗕𝘂𝗶𝗹𝗱 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗿𝘂𝗯𝗿𝗶𝗰𝘀. Partner with our team to design the scoring criteria and review workflows that tell us, line by line, whether an extraction or a coverage conclusion is accurate.
- 𝗦𝗵𝗮𝗽𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗿. Help us decide how coverage should be interpreted and presented — what a practitioner needs to see, in what structure, and what would mislead them. Translate practice into product requirements.
- 𝗕𝗲 𝗼𝘂𝗿 𝘁𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗼𝗿. Sit between the documents and the engineers: explain terminology, market convention, and the "why" behind how things are done, and flag where our assumptions do not match reality across lines of business.
- 𝗗𝗲𝗳𝗶𝗻𝗲 𝗴𝗿𝗼𝘂𝗻𝗱 𝘁𝗿𝘂𝘁𝗵. Review real policies, endorsements, and claims documents and tell us the correct answer — coverages, limits, sublimits, retentions, attachment points, exclusion logic, and how layers stack — so we can measure and improve the AI against an expert standard.

𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲

- USA-based. 3 years of experience minimum; 5+ years strongly preferred, specifically within excess and specialty insurance.
- Experience in excess and specialty (E&S) insurance as an underwriter, coverage attorney or counsel, or consultant.

𝗪𝗵𝗼 𝘄𝗲'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿

- Have deep, hands-on experience in specialty insurance – underwriting, claims, broking, or coverage counsel — and/or broad multiline experience across the lines we work in (General Liability, Professional Liability, and related casualty and specialty lines).
- Can read a policy end-to-end — declarations, forms, endorsements, schedules of underlying — and explain precisely how coverage responds, including across primary and excess layers.
- Have strong opinions on what "correct" means and can articulate the reasoning, not just the verdict, so it can be encoded into an AI system.
- Communicate clearly with non-insurance experts and enjoy the back-and-forth of teaching engineers your craft.
- No technical background required - your job is to tell us if the AI gets it right, not to explain how it works

𝗡𝗶𝗰𝗲 𝘁𝗼 𝗛𝗮𝘃𝗲

- Claims experience — working as, or closely alongside, claim adjusters, claim examiners, complex or litigated claims specialists, or claims counsel.

𝗖𝗼𝗺𝗽𝗲𝗻𝘀𝗮𝘁𝗶𝗼𝗻 & 𝗟𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀

- Part-time, contract engagement with flexible scheduling that fits your current work.
- Competitive hourly rate commensurate with experience and depth of expertise.
- Remote-friendly, with collaboration over shared documents and working sessions with our AI and product teams.

## About Brain Co.

## Company Overview
- **One-liner**: Brain Co. builds applied AI platforms and applications that automate complex, manual workflows for the world’s most important institutions, turning permitting, insurance, supply chain, and patient-care processes from months-long bottlenecks into minutes-long transactions.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States (also offices in the United Arab Emirates, United Kingdom, and Spain)
- **Founded**: 2024 (founding conversation in February 2024; public launch in 2025)
- **Founders**: Jared Kushner, Dan Ashton (CEO), Elad Gil, Dr. Luis Videgaray, Eric Wu, Mircea Pasoi, Revant Kapoor

## Core Business
- **Primary industries**: Artificial intelligence, government technology, healthcare, insurance, energy, hospitality, supply chain logistics
- **Target customers**: Global 2000 enterprises, federal/state governments, large healthcare systems, insurance carriers (B2B / Enterprise)
- **Mission or purpose statement**: “Empower the world’s most important institutions to create an abundant AI future” and “reinvent the broken processes that hold governments and institutions back.”

## Products & Services
- **Permitting**: Automates construction and other permitting workflows, cutting the process from months to minutes (claims 99% faster, $375M+ unlocked annually). SaaS / AI workflow platform.
- **Specialty Insurance**: Cuts complex underwriting and adjusting workflows from hours to minutes. AI-powered decision engine.
- **Supply Chain**: Optimizes end-to-end supply chain operations, delivering 30% lower cost, 99% reliability, and mitigating $100M+ in lost revenue. Integrated AI platform.
- **Patient Pathways**: Automates patient care-path management, returning patients to optimal care faster. Healthcare AI application.
- **General AI Platform**: An underlying platform that automatically incorporates advances in foundation models, enabling applications to stay current without traditional re-development.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company; Series A at $30M raised)
- **Key Metric**: $30 million total funding (Series A, led by Elad Gil and Affinity Partners, announced October 2025)
- **Notable Investors/Partners**:
  - Lead investors: Elad Gil (Gil Capital), Affinity Partners
  - Strategic partner: OpenAI
  - Angel investors include Ali Ghodsi (CEO Databricks), Andrej Karpathy, Aravind Srinivas (CEO Perplexity), Brian Armstrong (CEO Coinbase), Kevin Weil (CPO OpenAI), Reid Hoffman, Patrick Collison (CEO Stripe), Sarah Guo (Conviction), and many more.
- **Growth Signals**:
  - Headcount: 73 employees (LinkedIn, June 2026), monthly growth of +20.2%, quarterly job posting growth +47.4%
  - 10+ Global 2000 customers and multiple government engagements
  - $375M+ annual value unlocked in permitting alone; $100M+ supply chain revenue loss mitigated
  - Strategic partnership with OpenAI for model access and co-innovation
  - Engineering talent sourced from Stripe, Palantir, Amazon, Adobe, Roblox, and Alchemy

## Competitive Advantages
- **Outcome-based pricing**: Revenue model tied to client results, not software licenses – clients pay based on value delivered.
- **Production deployment, not pilots**: Every engagement begins with a value case; solutions go straight into production.
- **Domain-expertise embedded**: Subject matter experts in each vertical (government, insurance, healthcare) work alongside AI engineers to build around specific rules, regulations, and workflows.
- **Future-proof AI**: Applications automatically incorporate new capabilities from foundation models as they are released, avoiding obsolescence.
- **Enterprise-grade security**: SOC 2 and HIPAA-ready infrastructure with hallucination controls and guardrails.

## Strategic Focus
- Scale the platform across additional government and enterprise verticals (e.g., energy, hospitality)
- Deepen the partnership with OpenAI to rapidly leverage newest model capabilities
- Expand headcount (28 active job postings, especially in AI engineering, infrastructure, security, and deployment)
- Extend presence in the Middle East (Qatar, UAE) and Europe (UK, Spain)
- Continue building a new software-development paradigm where applications auto-update with AI advances

## Why Work Here
- **Culture**: “World-class talent built to deliver applied AI in production.” The team includes engineers from Tesla, NVIDIA, DeepMind, and top tech companies. Emphasis on solving hard, high-impact problems for the largest institutions.
- **Remote/hybrid/office**: Not explicitly stated, but headquarters in San Francisco with distributed teams in UAE, UK, and Spain. Likely a hybrid or office-first model given the nature of client engagements.
- **Notable perks or engineering culture**:
  - Outcome-driven work: every project tied to measurable value cases
  - Direct partnership with OpenAI and access to cutting-edge models
  - High-caliber co-founders (Kushner, Gil, Videgaray, Wu) and leadership (Marne Levine, former COO Instagram/Meta)
  - Rapidly growing (~73 people, +20% monthly headcount growth) – offers early-stage ownership
  - Roles span AI platform engineering, agentic systems, infrastructure, security, and deployment consulting

## Sources
1. [brain.co](https://brain.co/) – Main site overview
2. [brain.co](https://brain.co/blog/introducing-brain-co-9gk9a) – Introducing Brain Co. blog post (funding, founders, investors, customers)
3. [braincompany.ai](https://braincompany.ai/about) – About page (team, approach, security)
4. [linkedin.com](https://www.linkedin.com/company/brainco-ai/jobs) – LinkedIn company page (headcount, growth, job postings, talent sources)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/brainco/) – Careers page (open positions)

## Other roles at Brain Co.

- [Product Manager, Financial Services](https://feeny.ai/job/product-manager-financial-services-brain-co-san-francisco-3fa24156j0vd) — San Francisco, CA
- [Private Equity Engagement Lead](https://feeny.ai/job/private-equity-engagement-lead-brain-co-san-francisco-dsr10m5g52v2) — San Francisco, CA
- [Commercial/Transactional Lawyer](https://feeny.ai/job/commercial-transactional-lawyer-brain-co-remote-4aeem8qsj0cn)
- [Machine Learning Engineer, Platform](https://feeny.ai/job/machine-learning-engineer-platform-brain-co-san-francisco-3b4v2yrmrnjd) — San Francisco, CA
- [Full Cycle Technical Recruiter](https://feeny.ai/job/full-cycle-technical-recruiter-brain-co-san-francisco-wwne111bgb3d) — San Francisco, CA
- [Machine Learning Engineer, Applied AI - Deployed](https://feeny.ai/job/machine-learning-engineer-applied-ai-deployed-brain-co-london-8n2mv9qr9d3v) — London, United Kingdom
- [AI Product Engineer, Deployed](https://feeny.ai/job/ai-product-engineer-deployed-brain-co-london-wknmh7b52szs) — London, United Kingdom
- [AI Deployment Lead](https://feeny.ai/job/ai-deployment-lead-brain-co-abu-dhabi-dyvjtkbpcb7h) — Abu Dhabi, United Arab Emirates
- [AI Platform & Infrastructure Engineer, Deployed](https://feeny.ai/job/ai-platform-infrastructure-engineer-deployed-brain-co-abu-dhabi-w9efm94wfs0s) — Abu Dhabi, United Arab Emirates
- [AI Deployment Lead](https://feeny.ai/job/ai-deployment-lead-brain-co-san-francisco-bgg9872de6c2) — San Francisco, CA