We run a two-sided pay-per-lead marketplace connecting motivated property sellers with real estate investors in the US. The business is profitable, revenue is growing, and demand currently exceeds what we can supply — which means the fastest way to grow is not more marketing, but making the product itself perform better. That's the job.
The mission
You'll own a set of metrics and be measured on nothing else: Refund rate — down. Every refunded lead is a quality failure somewhere in the pipeline, and we didn`t want to publish "bad" leads on our platform Contact rate and closing rate — up. A lead that can't be reached or doesn't convert is a supply problem dressed up as a sales problem. You find out which one it is, with data. Price per lead — up, through quality. Better-verified, better-scored leads command higher prices. You build the scoring that proves it. Supply vs. demand balance — under daily control instead of periodic manual review.
Right now the CEO does this work personally: reviewing lead quality, hunting duplicates, spotting supply gaps by hand. We're hiring the person who takes it over and does it better — because they built a system for it, not because they check more spreadsheets.
What the work looks like
You form hypotheses about why leads refund, why calls don't connect, why certain sources underperform — then you test them. Some tests are analytical (segment refunds by source, geography, verification path). Some are operational (change a verification step, adjust distribution logic, pilot a new outreach sequence for appointments). You bring the numbers, propose the fix, and drive it to a measured result. Technical implementation — like a lead-scoring model — goes through our dev team; your job is to define what gets built and prove it worked.
You'll work directly with the CEO. Not "report into a layer that reports to leadership" — the two of you will look at the same dashboard and argue about the same numbers.
What changes in 6 months if this works Supply performance has one owner, and it isn't the CEO. Lead quality is controlled systematically: scoring before a lead is sold, not complaints after. Supply vs. demand is monitored daily with clear signals for action. There's a standing pipeline of experiments — some running, some queued, all with expected impact attached. Key decisions in this area start from your recommendation and your numbers.
Must-haves Strong analytical thinking and a working habit of backing claims with data Hands-on experience running experiments and improving processes to a measurable result Experience with AI tools, automation, and CRM systems Proactivity in the literal sense: you find the problem, propose the solution, and sequence your own work without being handed a task list
Nice-to-haves Marketplace, lead generation, or AdTech background Product Ops / BizOps / RevOps experience Unit economics fluency Basic understanding of performance marketing Experience working alongside product teams and developers
How we'll evaluate the trial
In your first week, we'll write 30-60-90 plan — what you'll audit, what you'll test, what you expect to move. We review it together, agree on targets, and that plan becomes the yardstick. By day 90 we expect you to fully own the metrics above, with at least the first experiments shipped and measured. Compensation includes a performance bonus tied to the metrics you own — when they move, so does your pay.
What you get Direct, measurable impact on revenue — your metrics translate to dollars, and everyone can see it A direct line to the CEO with full visibility into business metrics and unit economics No bureaucracy — a ~30-person remote team that ships fast and values execution over process
