Early Engineer, Full-Stack (San Francisco)

About Multiply Multiply is a fast-growing AI startup that helps B2B companies scale paid ads and get discovered by their dream customers. Traditional ads campaigns decay over time. Multiply builds self-learning growth ads that continuously improve performance by combining AI with expert operators.

We are 13 people today. You would be #14 .

Role Description We’re looking for an AI-native engineer who doesn’t just write code — but uses AI as a core part of how they build, think, and ship . As an early engineer, you’ll help shape our product and have an important voice in decisions regarding the technical stack, direction, and vision.

This is a full-time Software Engineering role. The current team is in San Francisco, and this role is in person at Multiply HQ.

We work hard and we know we're building a generational company. If you're looking for the ride of a lifetime, this might just be what you're looking for.

What You'll Do

• Build 0 → 1 product features quickly and iterate based on real customer feedback
• Design and ship systems that embed LLMs and AI agents into core workflows
• Orchestrate multi-step AI systems (agents, evals, feedback loops, etc.)
• Own features end-to-end: idea → build → deploy → iterate
• Work directly with founders on product, roadmap, and technical direction
• Help improve our engineering culture, tooling, and velocity
• Play a key role in building and mentoring the early team

What We Mean By “AI-Native” You should already be using tools like: Cursor, Claude Code, Codex / OpenAI APIs or similar AI-assisted development workflows, as a core part of how you build software , not as an afterthought.

Qualifications

• 3+ years experience building software with a strong track record and ability to work full-stack
• Startup mindset — resourceful, sharp, and entrepreneurial, who is excited to take early ownership
• Love to move fast, to learn, and to always-be-improving
• Experience using LLMs in production and interest in staying at the cutting edge of AI
• Experience in designing and building scalable systems. Knowledge of modern software engineering practices and frameworks
• You care deeply about users and love shipping polished, impactful work
• Strong product intuition — you think beyond the code