Jobs at Brain Co.

Own the financial services product line from discovery through launch and iteration. Set the roadmap, determine which deployment capabilities become core product features, conduct user discovery, define quality standards, and establish accuracy, human-review, citation, and safe-failure models for regulated workflows. Prototype in design or code, collaborate with engineers and designers, understand the market, and deliver reusable AI capabilities across financial institutions.

Conduct AI diligence for private equity and corporate sponsors, evaluating target companies’ AI strategies, data infrastructure, and technical maturity. Translate technical findings into investment and value-creation recommendations, manage client relationships and engagement workstreams, prepare presentations and deliverables, and collaborate with engineering and product leaders to define feasible AI solutions. The role requires strong analytical, communication, commercial, and AI/ML literacy skills in a fast-paced startup environment.

Own full-cycle technical recruiting for AI/ML, AI Product, and AI Platform engineering teams. Partner with leadership to define hiring needs, design sourcing strategies, manage candidate experience, build market maps and pipelines, negotiate complex offers, and represent Brain Co. at events to attract top technical talent.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

Lead the development of Brain Co.'s strategy for government partnerships and AI deployments, transforming early pilot programs into scalable solutions.

As an AI/ML Engineer, you will design and deploy advanced models, optimize processes, and collaborate with government leaders to implement AI solutions.

Design and scale Kubernetes- and Terraform-based infrastructure across customer environments; define standards for networking, security, CI/CD and multi-region deployments; build observability (metrics, logging, tracing), dashboards and SLOs; diagnose and optimize performance for distributed systems and AI workloads; support inference, data pipelines and backend services; ensure reliability under variable load; partner with technical leaders and mentor engineers.

As a Product Designer, you will lead design efforts, collaborate with stakeholders, and establish design systems for AI-driven software products.

Lead end-to-end delivery of enterprise AI engagements: run discovery, size value, define features, coordinate cross-functional teams, drive adoption and change management, and own commercial expansion and program outcomes in regulated environments.

Lead and build core internal and go-to-market operations: procurement, onboarding, vendor management, deal processes, pipeline reporting, and durable systems. Partner cross-functionally with finance, legal, product, and engineering to scale operational infrastructure, automate workflows, and make company goals and metrics legible.

Build, deploy, and maintain AI-powered web applications for government and industrial customers. Work end-to-end: define product specs with customers, implement front-end and back-end systems, integrate data pipelines and sensor networks, optimize performance and reliability, and support deployed systems globally. Collaborate with cross-functional teams, mentor junior engineers, and travel on-site to deliver production-grade solutions.

Deploy and optimize LLM-based solutions for real-world government, healthcare, and energy problems. Build scalable data pipelines, productionize models (RAG/agents), monitor performance, engage stakeholders including government officials, and collaborate with cross-functional teams to deliver impactful AI products.

As a Product Manager, you'll own a product area, translate business needs into PRDs, collaborate with teams, and drive product iteration and improvement.

The GTM Lead for Insurance will build and manage enterprise insurance accounts, develop relationships with senior industry leaders, and shape sales strategies for AI solutions.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

Own and scale the Nx-based monorepo, build system, and CI/CD to make builds, tests, and developer workflows fast, reliable, and observable. Build developer tooling, local dev stacks, and production-grade developer infra with SLOs, on-call, and measurable DX improvements.

Lead AI product delivery and customer engagement across finance, energy, and government clients. Define features, translate requirements to technical specs, run agile sprints, drive adoption through regional travel, and serve as the customer-facing champion to ensure successful, high-quality AI deployments.

Part-time domain expert role advising product and engineering teams on commercial contract workflows. Duties include walking through legal processes, evaluating AI outputs, creating evaluation rubrics and ground-truth data, reviewing agreements, and supporting customer discovery. Expect 5–10 hours/week for 3–4 months, remote-friendly, U.S.-based candidates only, NDA required.