About the role
TL;DR Own Anon's channel mix. Decide what we test, in what order, with what budget, across cold outreach, organic, paid, and partnerships — then design the experiments, instrument them, and double down on what works. Why this role exists Sales is currently founder-led. We need a counterpart who owns the system feeding sales — the channel mix, the experiments, the measurement — so we can scale beyond what one person can run by hand. This is our highest-priority hire.
What you'll do Own the channel-mix portfolio. Cold outreach (email, LinkedIn, Instagram, etc.), organic content, paid (Google Ads and beyond), partnerships (trade associations, integrators, communities). Decide allocation. Re-allocate weekly. Run experiments end-to-end. Hypothesis → instrumentation → ship → read → next bet. Landing pages, positioning, offer/packaging, sequences, hooks, creatives. Document learnings so we compound. Pull in resources (the Sales Lead, Content Lead, contractors, and our internal agents) that each experiment requires. You don't have to do everything yourself, but you own the outcome. Set the metrics and the cadence. Define what "working" means for each channel, build the scorecard inside our dashboard, and run a weekly growth review with
the team. Work alongside our internal tools. We have agents and dashboards that handle the busywork of audits, strategies, and reporting. You should be able to use them, push their limits, and partner with
the team to extend them when an experiment needs new instrumentation. Profile we're optimizing for We picked these axes deliberately: AI fluency — High. You think with AI as a default collaborator, not a novelty. Data analytics — High. You read analytics tooling fluently and reason from numbers, not vibes. Experimentation — High. You design clean tests, know what's underpowered, and don't conflate noise with signal. First-principles thinking — High. The field is changing too fast to import an old playbook. GTM résumé / playbooks — Low is fine. We'd rather a sharp first-principles thinker than a long résumé of legacy GTM patterns. Coding experience — Light is plenty. You don't need to ship production code, but you should be comfortable enough to move on your own with AI rather than waiting in a queue. Success looks like (first 30 days) A working channel-mix scorecard live in our dashboard, refreshed weekly. At least three channels under active experimentation with documented learnings. A measurable lift in qualified meetings booked / week. A clear point of view on which 1–2 channels we should double down on next. Hard
