Hands-On AI / Full-Stack CTO & Co-Founder

Hands-On AI / Full-Stack CTO & Co-Founder

Steady is looking for a hands-on technical co-founder to lead the build of an AI-powered SaaS platform for restaurant operations and hospitality logistics.

This is not an advisory CTO role.

This is not a “manage a team from day one” role.

We are looking for someone who can architect, build, ship, test, iterate, and own the product end-to-end — from the first MVP to a scalable SaaS platform.

About Steady

Steady is building the intelligent operational layer for commercial kitchens, restaurants, bars, and hospitality environments.

Our platform uses Computer Vision, AI, and operational data to help restaurants reduce manual tracking, identify bottlenecks, improve workflows, and generate actionable insights for managers.

The CTO We Are Looking For

A true builder.

Someone who can turn product concepts into working software quickly.

Someone comfortable moving between product thinking, architecture, backend, frontend, cloud infrastructure, AI integrations, and early technical strategy.

Someone who knows how to build fast — but also understands what needs to be built properly for scale.

Must-Have Experience

Strong hands-on Full-Stack development experience

Proven ability to build SaaS products or web applications from scratch

Backend architecture, APIs, databases, cloud infrastructure, CI/CD, and production deployment experience

Experience integrating AI / LLM models into real software products

Strong familiarity with AI-augmented development tools such as Claude, Cursor, GitHub Copilot, or similar agentic development workflows

Ability to work independently as the sole technical lead in the early stage

Strong architectural judgment: knowing when to build a fast MVP and when to design for scale

What You Will Own

End-to-end development of the first product version

Frontend web application for restaurant managers and operators

Backend systems for data ingestion, processing, automation, and reporting

AI / LLM orchestration and integration

Connection between Computer Vision outputs and actionable operational insights

Cloud infrastructure, monitoring, deployment, and reliability

Engineering standards, documentation, and development workflows

After funding: recruiting and leading a lean, AI-augmented engineering team

Nice to Have

Experience with Computer Vision, object detection, video processing, or models such as YOLO

Experience with video streams, cameras, WebRTC, RTSP, or edge-computing environments

Experience in restaurant tech, hospitality, retail operations, logistics, or food service technology

Experience building early-stage MVPs or pre-seed products

Compensation

This is an equity-first co-founder opportunity until funding.

Following funding and milestone completion, the role will transition into a standard founder salary plus equity package, with standard co-founder vesting.

Who This Is For

This role is for a senior engineer, architect, or technical product builder who wants to become a true co-founder.

Someone who wants ownership, not just employment.

Someone excited by the opportunity to build an AI product for a real operational pain point in a large, global market.