---
title: 'AI Deployment Lead, Financial Services at Brain Co.'
canonical: 'https://feeny.ai/job/ai-deployment-lead-financial-services-brain-co-san-francisco-cwvdkzmn9ec3'
type: 'job'
last_seen: '2026-10-28'
---

# AI Deployment Lead, Financial Services at Brain Co.

- **Company:** Brain Co.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-27
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.ashbyhq.com/brainco/135184c8-1623-4ddd-890f-ef0ad8e9d4a8

## 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. builds applied AI products for enterprises. We’re building our AI Deployment team in San Francisco, with a focus on financial-services clients across the U.S. You’ll work at the intersection of AI product delivery and client engagement, helping define, shape, and deliver solutions for asset managers, investors, lenders and other financial institutions. You’ll own the end-to-end delivery of your engagements: leading the team, building client relationships, and turning deployed AI into adopted, durable workflows. You’ll be accountable for program execution and measurable customer value, and help grow each account by earning trust and identifying the next valuable problem to solve. You’ll partner with engineers, product managers, designers, and senior client stakeholders to translate complex business needs into working products. This is a hands-on leadership role: you’ll stay close to users, make scope decisions, and use AI tools and prototypes to move the work forward.

Core responsibilities

- Lead end-to-end delivery: coordinate the cross-functional team from discovery through production and sustained use. Set priorities, run delivery cycles, manage dependencies and risks, and keep the client and team aligned on commitments.
- Define what to build: work with practitioners and sponsors to understand the workflow, prioritize valuable problems, and translate requirements into clear product specifications and acceptance criteria. Decide what to build, defer, or stop.
- Drive adoption and change: build relationships with users, win over skeptical stakeholders, and lead the people-and-process changes required for new ways of working to take hold. Use direct feedback to improve the product and verify sustained use.
- Deliver measurable value: agree outcomes and a baseline with the client. Track whether the deployment improves the work, surface risks early, and address quality or adoption problems after launch.
- Grow the account: own the day-to-day client relationship, communicate with senior sponsors, and connect delivered results to new opportunities. Partner with commercial colleagues on expansion proposals and commitments.
- Improve the next deployment: build or adapt prototypes, test consequential AI output, and work with engineers on technical trade-offs. Partner with product managers to turn recurring customer needs into reusable capabilities and implementation practices.

## What you’ll bring

- Delivery ownership: a track record of owning complex enterprise programs through production and adoption, with clear examples of your own decisions and results.
- Team and client leadership: experience leading cross-functional teams, coordinating multiple workstreams, and building trusted relationships with senior clients and the people doing the work.
- Hands-on AI fluency: you use AI in your work, understand its limitations, and can discuss data flows, evaluation, human review, and technical trade-offs with engineers.
- Product and commercial judgment: you can turn an ambiguous problem into a useful first release, make scope trade-offs, and connect delivery to customer value and account growth.
- Change management: experience driving behavioral and process change in large organizations, aligning competing incentives, and earning adoption without direct authority.
- Communication and initiative: clear written and verbal communication, a willingness to learn an unfamiliar domain, and the drive to resolve gaps yourself.

Financial-services experience is a strong plus. We also welcome commercially minded operators from consulting, enterprise software, and other complex industries who can show how they learned a domain and delivered lasting results.

Location and travel This role is based in San Francisco. Regular travel to customer sites is expected, particularly during discovery, launch, and adoption.

## 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)

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