AI Native Engineer

Factagora; Republic (MO); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Factagora is seeking an engineer who blends marketing intuition with engineering rigor. You’ll define problems, leverage AI as a default tool, and ship experiments that move growth metrics with a single line of code.

You'll design experiments for acquisition, activation, and retention, build full-cycle features, and collaborate with Product and Business teams to translate B2B partner needs into measurable product outcomes.

Qualifications

• 2+ years of software development or end-to-end service experience.
• Daily use of AI tools to speed up development.
• Ability to understand service metrics using data tools (SQL, GA, Clarity).
• Ability to learn unfamiliar technologies quickly with AI.
• Prioritize solving the customer's problem fast.

Responsibilities

• Designing and building features to improve user acquisition, activation, and retention.
• Designing A/B tests and funnel analyses, and analyzing results with statistical significance in mind.
• Building user lifecycle features such as onboarding flows, notifications, and email automation.
• Building dashboards to monitor growth metrics such as DAU, conversion rate, and churn.
• Providing technical support for acquisition channels, including SEO and landing page optimization.
• Working across the full stack, from prototype to production deployment, without being confined to a single role.
• Collaborating with Product and Business teams to translate global B2B partner requirements into technology and ship experiment results into the product.

Skills

AI tooling

SQL

Data analysis

Full-stack dev

Problem solving

Tools

Claude Code

Cursor

Gemini CLI

SQL

Job description

An engineer who defines the problem, not just the requirements

Factagora's AI Native Engineers don't stop at implementing requirements. You'll define problems yourself, use AI as your default tool to build ideas quickly, and solve growth bottlenecks with technology, from acquisition to retention. Working at the intersection of marketing and engineering, you'll design experiments grounded in data, validate them quickly, and ship them into the product. What's validated goes straight into the service, and a single line of your code moves our growth metrics.

Responsibilities

• Designing and building features to improve user acquisition, activation, and retention
• Designing A/B tests and funnel analyses, and analyzing results with statistical significance in mind
• Building user lifecycle features such as onboarding flows, notifications, and email automation
• Building dashboards to monitor growth metrics such as DAU, conversion rate, and churn
• Providing technical support for acquisition channels, including SEO and landing page optimization
• Working across the full stack, from prototype to production deployment, without being confined to a single role (full-cycle development)
• Collaborating with Product and Business teams to translate global B2B partner requirements into technology and ship experiment results into the product

Requirements

• 2+ years of software development experience, or end-to-end experience taking at least one service from planning through development and operations
• Daily use of modern AI tools such as Claude Code, Cursor, or Gemini CLI to meaningfully speed up development
• Ability to understand service metrics using data tools such as SQL, GA, or Clarity, and connect them to technical solutions
• Ability to learn unfamiliar technologies quickly with AI and apply them in practice within a short time
• You prioritize how fast you solve the customer's problem over which technology you use

Preferred Qualifications

• Hands-on experience improving LLM-based agent workflows or RAG-based unstructured data search and extraction performance
• Experience designing funnel optimization or A/B tests at a B2B SaaS or professional-audience service
• Hands‑on technical experience with SEO, performance marketing, or email automation
• Experience operating a service for a global user base, or comfortable communicating in English
• Experience working in a fast‑changing, pre-Series A startup environment
• Strong understanding of AI or deep‑tech products

Who We're Looking For

• When you see a number, you naturally ask "why?" and want to verify the answer in code
• You feel at home somewhere between marketing intuition and engineering logic
• You're not afraid of AI; you're used to using AI to expand your own limits
• When an experiment fails, you turn it into a lesson and design the next one better
• You're motivated by the sense that a growth metric can hinge on a single line of your code
• You genuinely connect with Factagora's mission of building a trustworthy AI and information ecosystem

Hiring Process

Application 1st Interview 2nd Interview Final Offer

Application Inquiries

If you run into any issues during the application process or have questions about this role, reach out to
[e-mail] and we'll get back to you as soon as possible.