What we’re building
We’re empowering small teams with technology that makes it easier to market and grow businesses. Our current focus is to help consumer brands shift from "workflow automation" to "agent management” within their marketing operations. Matter is the AI coordination layer — 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 work—tools, processes, standards, and hiring.
Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brands—some doing $80M–$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 back-end and front-end, ensuring seamless integration between APIs, databases, UIs, and ML services. You'll design, build, and scale features end-to-end, especially our AI/ML-powered 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 full-stack 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 fine-tuning pipelines.
Ensure front-end and back-end 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 production-grade 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 end-to-end ownership in a full-stack role.
Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.
Able to be hands-on with GCP, containerization (Docker/K8s), and building/supporting high-traffic systems.
Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps.
Familiarity or strong interest in working with MCP servers.
Exceptional problem-solving 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 multi-step or agentic AI workflows.
Background in AI infrastructure or tooling companies.
Contributions to open-source 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