--- title: 'AI Platform Engineer, Developer Productivity at Brain Co.' canonical: 'https://feeny.ai/job/ai-platform-engineer-developer-productivity-brain-co-san-francisco-694gs4667ftb' type: 'job' last_seen: '2026-10-28' --- # AI Platform Engineer, Developer Productivity at Brain Co. - **Company:** Brain Co. - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-26 - **Last confirmed live:** 2026-10-28 - **Apply:** https://jobs.ashbyhq.com/brainco/01260568-d527-4fa7-a1e8-ce842f8d720d/application **Skills:** Nx, Bazel, Pants, Buck, Turborepo, GitHub Actions, Buildkite, CircleCI, Go, Python, TypeScript, Rust, Bash, Tilt, Docker, Kubernetes, Nix, SLSA, Sigstore, Storybook > Join the DevX pod to own the build system, CI/CD, and developer tooling for a monorepo spanning Python, TypeScript, and Go. You will remove developer friction, design reliable CI/CD pipelines, and treat developer tools as production systems with real SLOs. ## 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. ## What You'll Work On You'll join the team that owns the Software Factory: the development environments, build systems, CI/CD, and engineering automation that set the ceiling on how fast every other engineer at Brain Co. can ship high-quality software. This is a force-multiplier role: your work compounds as we add teams, services, and customers. You'll shape how engineers develop, test, review, and ship software, combining developer tooling, reliable infrastructure, and AI-assisted workflows to improve speed and quality across Brain Co. Your job is to discover, measure, and remove developer friction. You should be comfortable going from “this workflow is slow or confusing” to instrumented evidence, a shipped improvement, and clear before/after impact. Own developer environments and build infrastructure Own the local development experience, monorepo, build systems, and shared tooling. Make it easy for engineers to set up, develop, and test software, with fast and reliable workflows as the company scales. Build delivery workflows and engineering automation Own CI/CD, PR workflows, code-review automation, and shared tooling for product quality assurance. Integrate AI-assisted development and coding agents where they improve speed and quality, supporting delivery across cloud, regulated, and air-gapped environments. Measure and improve developer experience Discover, measure, and remove friction across the development lifecycle. Combine developer feedback with instrumentation to shorten feedback loops, improve reliability, and demonstrate clear before/after impact. Drive onboarding, enablement, and adoption Help engineers become productive quickly through intuitive tooling, documentation, and practical support. Guide teams through new workflows and migrations, and drive adoption through quality, not mandates. Operate the developer platform as a product Own the full lifecycle: architecture, implementation, rollout, reliability, and iteration based on internal user feedback. Partner closely with engineering, Infrastructure, and Security to build a platform teams trust and want to use. You Might Be a Great Fit If You… We're looking for engineers who treat developer experience as a product — engineers who reach for users, not just specs. Developer Platform & Build Systems - Have 3+ years building developer-facing infrastructure: monorepo platforms, build systems, CI/CD, or internal tooling. - Have hands-on depth with at least one modern monorepo tool (Nx, Bazel, Pants, Buck, Turborepo) and the willingness to go deeper. - Have strong fluency with CI/CD systems at scale (GitHub Actions, Buildkite, CircleCI, or similar): matrix design, caching strategies, secret flow, parallelism. - Are fluent in at least two of: Go, Python, TypeScript, Rust, Bash. - Have experience building automated testing or code-quality workflows that engineers trust. Platform & Product Mindset - Have shipped developer platforms that real engineers adopted. - Have measured developer friction and shown clear before/after impact from tooling, CI, build, release, or workflow improvements. - Have strong intuition for developer experience, paved paths, and long-term maintainability. - Are comfortable owning the full lifecycle: design doc, MVP, hardening, adoption. - Can help teams adopt new tools and migrate existing workflows through clear documentation and practical support. Production & Reliability - Have owned developer-facing systems with real uptime and operational responsibility. - Are familiar with observability tooling and incident response. - Bring strong fundamentals in retries, idempotency, queueing, and failure modes for reliable build and automation systems. Ways You Might Stand Out - Built or integrated coding agents, automated code review, or AI-assisted testing into engineering workflows, with measurable improvements in speed or quality. - Experience with sandboxed code execution, credential scoping, or security controls for development agents. - Built or significantly contributed to a remote build cache, custom build system, or hermetic build pipeline (Bazel, Nix, etc.). - Led a polyrepo → monorepo (or reverse) migration at scale. - Experience applying DORA / SPACE or other DX metrics in practice. - Background in release engineering, supply-chain security (SLSA, Sigstore), or artifact management. - Built internal PaaS, dev environments, or scaffolding generators. - Built shared quality-assurance infrastructure, such as end-to-end test harnesses, Storybook / visual-regression tooling, accessibility checks, or performance budgets across apps. - Open-source contributions to Nx plugins, GitHub Actions, coding-agent tooling, or related developer platforms. - Exposure to multi-tenant, regulated, or air-gapped deployment environments. ## Why This Role Matters You'll set the ceiling on how fast every other engineer at Brain Co. can ship. As we grow from a handful of teams to dozens — building AI systems for governments and regulated industries — the platform that lets us move quickly without breaking what matters becomes one of the highest-leverage systems in the company. ## Benefits - Competitive salary plus equity - Medical, Dental, and Vision coverage - 401(k) - Unlimited PTO - Daily lunches - Commuter benefits ## 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. - [AI Deployment Lead, Financial Services](https://feeny.ai/job/ai-deployment-lead-financial-services-brain-co-san-francisco-cwvdkzmn9ec3) — San Francisco, CA - [IT Operations](https://feeny.ai/job/it-operations-brain-co-san-francisco-0a84axygy3m6) — San Francisco, CA - [IT Engineer](https://feeny.ai/job/it-engineer-brain-co-san-francisco-qvmrynye7zvx) — San Francisco, CA - [Senior Manager, IT](https://feeny.ai/job/senior-manager-it-brain-co-san-francisco-fe0wevmznhfe) — San Francisco, CA - [AI Product Engineer, 2027 New Grad](https://feeny.ai/job/ai-product-engineer-2027-new-grad-brain-co-san-francisco-bmk4rke9vkc4) — San Francisco, CA - [Security Engineer, Detection & Response](https://feeny.ai/job/security-engineer-detection-response-brain-co-san-francisco-9vmcqadw0r0v) — San Francisco, CA - [AI Security Engineer Co-Op Intern, Winter 2027](https://feeny.ai/job/ai-security-engineer-co-op-intern-winter-2027-brain-co-san-francisco-6yxe5yv9nfr8) — San Francisco, CA - [AI Platform Engineer Co-Op Intern, Winter 2027](https://feeny.ai/job/ai-platform-engineer-co-op-intern-winter-2027-brain-co-san-francisco-kp0p14kewgt0) — San Francisco, CA - [Machine Learning Engineer, Applied AI Co-Op Intern, Winter 2027](https://feeny.ai/job/machine-learning-engineer-applied-ai-co-op-intern-winter-2027-brain-co-san-zryx6b3070na) — San Francisco, CA - [AI Product Engineer Co-Op Intern, Winter 2027](https://feeny.ai/job/ai-product-engineer-co-op-intern-winter-2027-brain-co-san-francisco-r9j5xv2yqwr3) — San Francisco, CA