Founding Data Scientist

About AIApply

We’re a scaling, founder-led B2C subscription business, helping people land jobs faster with AI-driven auto-apply, resume tailoring, and interview prep. Millions of high-intent candidates have used the product.

We’re now moving beyond tools into infrastructure, building a verified talent layer for employers, expanding distribution beyond paid social, and creating a defensible organic moat.

We move fast, ship often, and run a flat, high-ownership team.

What you’ll do

You will become the person the company trusts when it asks:

“Is this actually working?”

That means:

• Building a clean, reliable data layer across product, revenue, and user behaviour
• Defining the core metrics the company runs on
• Making every experiment measurable, interpretable, and comparable
• Identifying the highest-leverage opportunities in the product (especially early churn and onboarding)
• Turning data into decisions, not dashboards

Over time, you’ll shape how we prioritise work across the entire company.

What success looks like

Within your first few months:

• Every key initiative has a clear baseline and measurable outcome
• The team trusts a single source of truth for metrics
• Experiments have clear readouts and influence product decisions
• You’ve identified at least one high-impact opportunity and driven it into execution

Longer term:

• AIApply runs on a coherent metrics system
• Experimentation becomes a core operating rhythm
• Product, growth, and data are tightly integrated
• You help scale this into a small, high-leverage team

Who we’re looking for

You’re a product-minded operator who can both build and think.

You might come from:

• Product (strong data + experimentation bias)
• Analytics / data science (with real product ownership)
• Engineering (especially backend / Laravel) with a strong product instinct

What matters:

• You can go from raw data → insight → decision → action
• You’ve worked on a real product with real users and revenue
• You’re comfortable getting hands-on (SQL, pipelines, tooling — whatever is needed)
• You challenge bad experiments, not just measure them
• You care about outcomes, not reporting

Strong signals

• You’ve owned metrics or experimentation in a live product
• You’ve built or cleaned up a messy data layer
• You’ve killed ideas based on data (not just validated them)
• You can write clearly and explain decisions simply

Bonus:

Experience with marketplaces, subscriptions, or LLM-driven products.

Not a fit

• You’re purely academic or research-focused
• You only want to analyse, not build or influence
• You need a perfect stack before you start

Comp & process

Competitive base + meaningful equity. We’re profitable. the equity is real.

Process:

• 30 min intro
• Paid take-home (lightweight, real data)
• Working session with the team
• References → offer

We can move quickly.