---
title: 'AI Deployment Lead, Gov at Brain Co.'
canonical: 'https://feeny.ai/job/ai-deployment-lead-gov-brain-co-san-francisco-9tdnr7z3hpb4'
type: 'job'
last_seen: '2026-11-11'
---

# AI Deployment Lead, Gov at Brain Co.

- **Company:** Brain Co.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-11
- **Apply:** https://jobs.ashbyhq.com/brainco/cfdd60e3-ca4b-463d-8ee9-9e6abbe4261a

## 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

We’re hiring an AI Deployment Lead to own our most consequential government engagements from discovery through production adoption and expansion, while building the team, playbooks, and operating cadence that let us run many deployments at once without quality slipping. Most companies treat deployments as a cost center between sale and renewal. We think they’re the engine of the company: the place where client trust is earned and where the product learns fastest. The person who runs that engine well will shape Brain Co.’s product, reputation, and growth more than almost anyone else here. This is a player-coach role. You will personally lead 2–4 of our most complex deployments while overseeing the broader portfolio as the team grows. You will operate at the intersection of deployment and product development: translating agency workflows into buildable AI solutions, orchestrating cross-functional delivery, and turning field evidence into reusable product capabilities. The role knits together two concurrent mandates:

- Client experience, end to end. You own the client’s experience across the full arc—from the sales rep’s first handoff, through relationship-building with mayors, city managers, CIOs, agency heads, and their teams, through deployment quality and adoption, to renewal and expansion. Clients should experience one coherent Brain Co., not a relay race between sales, delivery, product, and engineering.
- Deployments as product R&D. Every deployment is a structured opportunity to mature the product. You will work with Product and Engineering to decide—deliberately, before kickoff—what each deployment should teach us, then run the deployment so it produces that learning: which workflows generalize, which configurations should become product, which client asks are one-offs versus roadmap signal. You turn the accident of “field feedback” into an intentional product-maturation engine.

## Key Responsibilities

- Lead 2–4 of Brain Co.’s most complex government deployments personally while overseeing the broader portfolio as the team grows.
- Engage before close to de-risk delivery: shape scope, success criteria, stakeholder maps, resourcing, data and integration dependencies, acceptance criteria, and a workplan the customer’s executive sponsor has bought into before kickoff.
- Translate agency workflows and desired outcomes into an MVP, technical requirements, sequencing decisions, and a delivery roadmap that Product and Engineering can execute.
- Define a value case and learning agenda for each deployment and product line, including impact hypotheses, baselines, adoption measures, and success KPIs.
- Run multi-workstream delivery with rigor: clear owners, milestones, dependencies, weekly operating cadence, crisp status synthesis, and early, honest escalation.
- Protect the critical path by surfacing risks early, making clear scope/speed/quality trade-offs, and leading decision-ready executive readouts.
- Drive adoption and change management, including stakeholder onboarding, training, operating-model changes, and sustained use after go-live.
- Build durable relationships with mayors, city managers, CIOs, agency heads, program leaders, and frontline users, so issues surface early and Brain Co. becomes a trusted operating partner.
- Turn field evidence into reusable product capabilities, evaluation patterns, playbooks, templates, and staffing models that shorten time to value on future deployments.
- Run the deployment reviews and product-feedback cadence that converts customer signal into clear roadmap decisions.
- Partner with sales team on renewal and expansion by translating proven deployment outcomes into the next highest-value use case, without losing scope discipline.
- Navigate the security, procurement, legal, compliance, and systems-of-record constraints that come with public-sector deployments.
- Hire, develop, and manage deployment leads as volume grows, setting the bar for what great looks like by doing it first.

## What We’re Looking For

- 7+ years of experience leading complex, senior-stakeholder client programs—enterprise deployment leadership, AI / ML deployment, complex implementation, or program leadership at a high-growth software company, or comparable client-facing program leadership.
- Demonstrated experience taking an AI/ML, data, or other complex technical product from ambiguous problem framing through production use and adoption.
- Technical fluency in AI/ML and enterprise systems: you can map workflows and data, reason about integrations, evaluations, model behavior, security and production constraints, and pressure-test a delivery plan with engineers. You do not need to write production code.
- A rigorous operating toolkit: structured problem-solving, hypothesis-driven workplans, synthesis under ambiguity, managing a team and a client at the same time, and the confidence to deliver hard messages early and constructively.
- Demonstrated senior-client leadership—you’ve been the trusted day-to-day counterpart to executives and can build that trust quickly with elected officials, agency heads, and career public servants alike.
- Product instinct: you can distinguish a configuration request from a product insight, and you’ve worked closely enough with product/engineering teams to speak their language and earn their trust.
- Builder’s temperament: you’d rather create the playbook than inherit one, and you can hold high standards while shipping imperfect v1s of process.
- Clear, decision-oriented communication across technical, operational, and executive audiences.
- Comfort with 30–50% travel and genuine enthusiasm for working inside government buildings with the people who run them.

Nice to Haves

- Public-sector delivery experience (govtech or civic tech).
- Familiarity with government procurement, security reviews, and contracting norms.
- Experience deploying AI/ML products.
- Experience hiring and managing delivery teams.

Join Us If you’re excited about helping modernize government and bringing frontier AI into the public sector, we’d love to hear from you.

Location Remote; candidates based in San Francisco are expected to work in office (hybrid, 3 days/week in office).

## Compensation

We pay competitively for every role and back that with meaningful equity, because we want the people building Brain Co. to genuinely share in what we build together. Beyond salary and equity, we invest in country-specific benefits because we want our team to feel taken care of, not only compensated. The annual base salary range for this role is $145,000 - $300,000. We publish this range for every role, as a matter of policy regardless of whether local law requires it. Actual pay will depend on skills, scope, and experience

## 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.

- [Technical Program Manager, Strategy & Ops](https://feeny.ai/job/technical-program-manager-strategy-ops-brain-co-san-francisco-qk01zvtdbzd7) — San Francisco, CA
- [Technical Program Manager, Security](https://feeny.ai/job/technical-program-manager-security-brain-co-san-francisco-r0xgb1kygtmw) — San Francisco, CA
- [Product Designer, MENA](https://feeny.ai/job/product-designer-mena-brain-co-abu-dhabi-sncgjrx9hyj1) — Abu Dhabi, United Arab Emirates
- [Full Cycle Technical Recruiter](https://feeny.ai/job/full-cycle-technical-recruiter-brain-co-london-rmfwmq0372zs) — London, United Kingdom
- [Senior Security Engineering Manager](https://feeny.ai/job/senior-security-engineering-manager-brain-co-san-francisco-g9gv0e8pjfjt) — San Francisco, CA
- [Account Executive, Insurance](https://feeny.ai/job/account-executive-insurance-brain-co-remote-yvbfnc3jyp11)
- [Sales Operations Manager](https://feeny.ai/job/sales-operations-manager-brain-co-san-francisco-2sbjprabds0c) — San Francisco, CA
- [Account Executive, Financial Services](https://feeny.ai/job/account-executive-financial-services-brain-co-san-francisco-m2mgn5bmt0yr) — San Francisco, CA
- [Account Executive, Gov](https://feeny.ai/job/account-executive-gov-brain-co-remote-jqde6gkez7eq)
- [BizOps](https://feeny.ai/job/bizops-brain-co-san-francisco-g4rwh68y0n8f) — San Francisco, CA