Jobs at Cue AI

Support the founder across customer onboarding, customer success, sales outreach, growth experiments, operations, investor relations, and chief-of-staff tasks. Responsibilities include managing communications, coordinating follow-ups and meetings, testing campaigns, tracking funnel results, preparing briefs and decks, documenting decisions, and maintaining project and content pipelines. The role offers broad startup exposure with potential transition from an unpaid trial internship to a paid full-time role with equity.

Build a production-ready MVP for a realtime AI startup, develop proof-of-concepts with pilot customers, and help shape the product’s technical vision. The internship provides hands-on experience with OpenAI’s Realtime API, LLM streaming, agentic workflows, RAG pipelines, deep-research tools, web search, and locally hosted models. The role requires strong Node.js, TypeScript, and Python skills, prior AI application development, and an adaptable, action-oriented approach.

Support the founder across operations, go-to-market, fundraising, finance, product experiments, and growth. Organize projects, coordinate pilots, manage customer and investor follow-up, prepare decks and financial models, and build AI-powered workflows using tools such as n8n, Clay, and ChatGPT. This remote-first, unpaid internship offers broad startup exposure, flexible hours, and potential future equity or paid employment.

Build a production-ready MVP for a stealth startup developing realtime AI chat and locally hosted model solutions. Responsibilities include working with pilot customers on proof-of-concepts, shaping the product’s technical vision, and developing agentic workflows, RAG pipelines, deep research and web search systems, and secure low-latency AI inference applications.

Provide fractional CTO leadership for a stealth GenAI startup by advising on architecture, reviewing designs and pull requests, shaping the technical roadmap, balancing features and technical debt, mentoring engineers, supporting hiring, and advising on prompt engineering, MLOps, deployment, and cloud or edge infrastructure. The engagement may develop into a co-founder or long-term advisor role.