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Multiply

AI-powered B2B demand generation platform

Early Engineer - Full-Stack

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 3 years of experience building software with a strong track record and the ability to work full-stack.
  • Experience using large language models in production and interest in staying at the cutting edge of artificial intelligence.
  • Experience designing and building scalable systems.
  • Knowledge of modern software engineering practices and frameworks.
  • Use tools such as Cursor, Claude Code, Codex, or OpenAI APIs as a core part of software development workflows.
  • Ability to take early ownership in a startup environment.
  • Strong product intuition and the ability to think beyond the code.

Responsibilities

  • Build 0-to-1 product features quickly and iterate based on real customer feedback.
  • Design and ship systems that embed large language models and artificial intelligence agents into core workflows.
  • Orchestrate multi-step artificial intelligence systems, including agents, evaluations, and feedback loops.
  • Own features end-to-end from idea through building, deployment, and iteration.
  • Work directly with founders on product, roadmap, and technical direction.
  • Improve engineering culture, tooling, and velocity.
  • Help build and mentor the early team.

About the Company

Multiply

AI-powered B2B demand generation platform

Multiply is an AI-native media agency that helps B2B brands grow through Self-Learning Advertising, acting as an integrated extension of a client’s team with AI and growth strategists to drive demand and build a sales pipeline. It connects to a company’s internal data sources, like CRM systems and sales call recordings, and uses AI agents to analyze language and deal data to craft targeted ad creative and messaging, running hundreds of experiments to optimize campaigns on Google and LinkedIn with weekly improvements. It differentiates itself by offering a hybrid Service-as-Software model that combines automation with human strategists as an embedded partner and plans an omni-channel platform with AI-driven budget allocation. Its goal is to help B2B companies get discovered by ideal buyers and create a reliable, growing pipeline, as shown by early customers reporting more sales meetings and stronger pipeline generation.

Company size
11-50
Company stage
Early VC
Total funding
$9.5M
Headquarters
San Francisco, CA
Founded
2024

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