Compensation
$110K-$175k Base
Discretionary Bonus
Equity
About this role
Who we are
Koah is an AI native ad network powering the revenue engine for the next generation of AI product. Our mission is to help publishers monetize and help advertisers reach the right audience — without compromising speed, UX, or privacy. We’ve raised $5.7M from Tier 1 investors and are growing faster than we can keep up.
Why this role exists
Demand for Koah’s core product is exploding, and we need all the help we can get in making our customers happy. This role exists mainly to help us capitalize on existing demand & convert that into new publisher (AI Apps) leads , drive insights for existing customers to make them more successful and to inform product decisions, and create analytical & thought leading content to continue fueling the growth engine.
How you’ll spend your week
Focus | ~% of time | What you’ll do |
|---|---|---|
Publisher biz-dev | 50 % | Source AI-app publishers, pitch value, close rev-share deals, drive integrations to first ad impressions. |
Data-driven product insights | 30 % | Pull performance data (Sheets/BI tools), spot levers, file clear tickets/wireframes for engineering. You interface between the core operations work that makes our business and customers function, while driving product leadership within the technical team. |
Content & case studies | 20 % | Produce integration docs, one-pagers, short Loom/Framer videos, thought leading blog posts and social content—aim for one new case study per month. |
Milestones that prove you’re winning
Horizon | Outcomes |
|---|---|
Day 30 | Master platform workflow; smooth your first live campaign issue; publish a publisher-integration checklist; log three actionable product tickets. |
Day 90 | ≥ 3 new publishers live; small-advertiser book growing month-over-month; first case study shipped. |
Day 180 | Publisher ad inventory 5–10× baseline; monthly “insight pack” to engineering; six case studies live. |
Day 365 | you own the publisher pipeline, are a product & ops leader, and mentor the next GTM hire. |
You might be a fit if you…
Have 2-6 years in consulting, customer-facing tech, growth, sales, CS or rev-ops roles.
You run towards the fire.
Enjoy translating performance data into clear stories and product asks (no deep SQL required).
Are comfortable context switching frequently.
Can work mostly in-person with a small, ambitious SF team.