Jobs at Brain Co.

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

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.

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.

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.

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

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.

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.

Annotate and review insurance policy and claim documents to build ML training data and evaluation rubrics. Tasks include locating policy limits, producing structured coverage conclusions, assessing claim coverage, liability, litigation stage, and damages. Work part-time as a US-based contract SME across excess and specialty lines.

The role involves permitting review, plan examination, and interpreting building codes while also supporting product development and project management efforts.

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

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.

As a Marketing Lead, you will translate AI product positioning into compelling narratives for diverse audiences, own demand generation, and partner with sales to boost pipeline. You will also manage event strategies and work cross-functionally to ensure consistent messaging and rapid iteration on marketing tactics.

Lead platform product decisions to identify repeated engineering patterns, define shared systems and interfaces, and drive adoption of foundations that reduce duplication and increase team velocity.

The role involves managing government partnerships, driving the sales process from opportunity identification to closing deals, while working with various stakeholders and maintaining relationships.

Lead end-to-end UX and visual design for complex AI-driven enterprise and government software: research, interaction design, prototyping, testing, design systems, and cross-functional collaboration to prioritize usability and scalability.

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 end-to-end delivery of AI deployments for financial services clients: define features, translate business needs into technical specs, run agile sprints, drive adoption and change management, ensure measurable program outcomes, and expand commercial relationships while collaborating with engineers, product, design, and investment teams.