Founding Growth Engineer

present of AI; San Francisco (CA); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Confident AI is seeking a growth-focused engineer to build a growth system from scratch and drive activation. You will code in Python or TypeScript, establish tracking and attribution, and run experiments that link to activated users.

The role emphasizes honesty with data and the discipline to drop ideas that fail. You will work on AI product measurement and growth tooling, shaping how the company appears in AI-generated answers.

Formación

• Proficiency in Python or TypeScript for building growth tooling.
• Experience with tracking and attribution to measure impact.
• Ability to design experiments that tie outcomes to activated users.

Responsabilidades

• Build a growth system from scratch to drive user activation.
• Set up tracking and attribution to quantify experiments.
• Run multiple experiments and decide based on real outcomes.
• Be honest about data and drop ideas that do not work.

Conocimientos

Python

TypeScript

Funnel analysis

Cohort analysis

Attribution tracking

Growth tools

Descripción del empleo

This role asks for someone who can build a growth system from scratch, not just run campaigns. A strong candidate codes in Python or TypeScript, sets up tracking and attribution, and runs experiments that tie back to activated users. They need to be honest about data and willing to drop ideas that do not work.

How it fits the AI era

AI changes the work by making it possible for one person to build pipelines, automate content, and run many experiments at once. The role also involves helping the product show up in AI generated answers, which is a new acquisition channel. What stays human is judgment about which experiments matter and the discipline to trust real outcomes over vanity metrics.

How it builds AI experience

The company builds evaluation and observability tools for LLM applications, so the role offers hands on exposure to how AI products are measured and improved. A candidate can build AI agent workflows for growth tasks and learn how AI search visibility works in practice. Showing comfort with LLM based tooling and data pipelines would help.

Worth showing

• Python or TypeScript coding
• Funnel and cohort analysis
• Attribution and event tracking
• Building internal growth tools

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Confident AI

Enterprise evaluation and observability platform for LLM applications powered by open-source DeepEval.