---
title: 'Product Manager, Financial Services at Brain Co.'
canonical: 'https://feeny.ai/job/product-manager-financial-services-brain-co-san-francisco-3fa24156j0vd'
type: 'job'
last_seen: '2026-09-09'
---

# Product Manager, Financial Services at Brain Co.

- **Company:** Brain Co.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-31
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/brainco/2bc9aece-f614-47d5-b415-d873f5910b4a

## 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.'s financial services products run inside large enterprises, asset managers, banks, specialty lenders, and corporate finance teams. This role owns what they become as a product line.

You'll be the first product manager for the vertical, reporting to the vertical lead and working with AI deployment leads embedded at client sites, plus a dedicated engineering and design team. You'll set the roadmap, define the standards every deployment is held to, and decide which capabilities become part of the core product.

That last decision is most of the job. You'll spend your time with the people doing the work, finding the structure underneath, and building the parts that hold across accounts.

Financial services is a wide surface. You'll have a point of view on which parts we go after next, and the standing to act on it.

## WHAT YOU'LL DO

- Turn deployments into product. Every engagement produces something that works for one institution. You decide what becomes a reusable capability and what stays specific to that account, and you hold that line under pressure.
- Run discovery. On-site, with the end users doing the work: controllers, underwriters, analysts, operators.
- Set the quality bar. Decide what great means for each product surface, then measure it: accuracy, adoption, hours returned, and whether people still use it in month six.
- Build rather than specify. Prototype in design or in code. We'd take something working today over a PRD tomorrow.
- Own the accuracy and control model. These are regulated institutions with almost no tolerance for a wrong number. You decide where an agent acts, where a human reviews, what gets cited back to source, and how the system fails safely.
- Know the market inside out. Enough to argue for something no customer has asked for yet, and to defend it to the people who fund it.

## WHAT YOU'LL BRING

- 7+ years building products, with a track record of owning an area end to end: discovery, launch, and the iteration after.
- Real technical depth. You can reason about how a system is put together, read an API spec, and hold your own with engineers without needing a translator.
- Experience shipping into complex, document-heavy environments where being wrong is expensive.
- A high quality bar and a fast ramp. You sweat the details other people let slide, and pick up unfamiliar domains quickly.
- Exceptional communication. You can explain a modeling trade-off to an engineer, then the same decision to a CFO.
- Extreme comfort with ambiguity. You structure your own work and don't wait for a playbook.

## EVEN BETTER

- You've built for financial services, accounting, audit, lending, credit, fund reporting, or the office of the CFO, and can talk to a practitioner in their own vocabulary.
- You came into product from a finance seat: corporate finance, audit, accounting, FP&A, fund finance, banking, or underwriting.
- You've worked forward-deployed, in solutions, or as a founding PM, accountable for a named account at real depth.
- You've shipped production agents and have informed opinions on evals, accuracy, and when to trust model output.
- You're a builder outside of work: side projects, real production code, a startup attempt.

## LOCATION

- San Francisco Bay Area. We're an in-person company, hybrid three days a week.
- New York considered on an exception basis for someone who will relocate or co-locate in San Francisco.
- Occasional travel to client sites, up to 25%.

## BENEFITS

- Competitive salary
- Medical, Dental, and Vision (100% Coverage)
- Paid Maternity and Paternity Leave
- 401(k)
- Daily Lunches
- Commuter Benefits
- Unlimited PTO

## WHY JOIN US

- Ship quickly, iterate constantly and see your work deployed at global scale
- Collaborate with industry veterans from Tesla, DeepMind, Databricks and more
- Accelerate your career with ownership based on impact, not tenure
- Earn competitive compensation + meaningful equity in a high-growth company
- Thrive in a culture built on speed, curiosity, and impact

If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.

## 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.

- [Private Equity Engagement Lead](https://feeny.ai/job/private-equity-engagement-lead-brain-co-san-francisco-dsr10m5g52v2) — San Francisco, CA
- [Specialty Insurance Underwriter/Coverage Attorney/Consultant/Professional (Contract)](https://feeny.ai/job/specialty-insurance-underwriter-coverage-attorney-consultant-professional-qwspr442emtg)
- [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