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.
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