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Job Description
What weâ're building Weâ're empowering small teams with technology that makes it easier to market and grow businesses. Our current focus it to help consumer brands shift from "workflow automation" to "agent managementâ" within their marketing operations. Matter is the AI coordination layer â— providing shared AI memory, centralized agent control, and model differentiation. We founded the company based on a decade of experience providing marketing services to 300+ consumer brands, leveraging that expertise to develop interfaces that streamline user experience in the era of AI. Why join Matter? Founding Engineer Equity You'll get a meaningful equity stake; early-stage and undiluted. Product Ownership You'll ship production code daily and help steer key product and technical decisions. Shape the Engineering Culture You'll influence how we workâ—tools, processes, standards, and hiring. Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brandsâ—some doing $80Mâ-$500M in revenue. Don't join Matter if... Work-life balance is a high priority for you You're uncomfortable changing your priorities every 24-48 hours You're not confident in your abilities to manage end-to-end solutions You require a many devops resources to be successful About the Role You'll sit squarely at the intersection of backâend and frontâend, ensuring seamless integration between APIs, databases, UIs, and ML services. You'll design, build, and scale features endâtoâend, especially our AI/MLâpowered experiences, while mentoring peers and driving architecture decisions. Core Tech & Tools Languages & Frameworks: Python, Node.js, React (TypeScript) Datastore: PostgreSQL Cloud & Infra: Google Cloud Platform, Airflow, Terraform, Docker, Kubernetes ML/AI: LLMs, RAG, prompt engineering Other: MCP Key Responsibilities Architect and implement fullâstack features, from database schema to React components, optimized for scale and reliability. Build and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP. Integrate, prompt, and debug LLMs and generative AI tools; own RAG or fineâtuning pipelines. Ensure frontâend and backâend systems interoperate flawlessly, minimize friction, optimize data flow, and enforce contracts. Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship productionâgrade code. Monitor performance, reliability, and security. Mentor junior engineers through code reviews, architecture reviews, and shared best practices. Requirements 5+ years of professional software engineering experience with endâtoâend ownership in a fullâstack role. Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL. Able to be handsâon with GCP, containerization (Docker/K8s), and building/supporting highâtraffic systems. Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps. Familiarity or strong interest in working with MCP servers. Exceptional problemâsolving skills and a product mindset: you think deeply about UX, performance, and business impact. You sweat both technical details and end-user experience. Nice to Haves Experience with multiâstep or agentic AI workflows. Background in AI infrastructure or tooling companies. Contributions to openâsource AI/ML projects. What we offer Competitive salary and equity package (roles, responsibilities, and comp grow as we do) Top-tier health, vision, dental insurance (US) Regular team off-sites Regular hack weeks
Salary: $80
