About SalesMonk
Every company on earth pours money into events, and almost all of it vanishes. Booths, flights, a week
of a team's life, and what's left is a stack of badges nobody works. SalesMonk is rebuilding that entire
motion with AI. Our agents compress weeks of field-team work into days, with humans in the loop
where it counts, and have the room booked before the doors open. We turn the single most wasted line item in B2B into the most predictable source of pipeline. It's a massive problem, almost nobody is
solving it well, and we're moving fast. We're a small, technical team building alongside the founders.
Why This Role Exists
We want one person who owns the outbound system end to end, the machine that finds, enriches, routes, and runs pipeline, not an SDR working a list someone else built. Done right, that single seat does the work of a three-person SDR pod for SMB and mid-market.
What You'll Own (The 4 Pillars)
- Build the plumbing. Enrichment pipelines with multi-provider waterfalls. Signal triggers wired through tools like Common Room, Trigify, or RB2B. Webhooks that route a qualified lead into the right sequence the moment a buying signal fires. You build the machine; reps work the output.
- Own the targeting layer. Programmatic filters that stack firmographic, technographic, and intent data, with enrichment layered until every prospect carries 8–12 data points before the first email is drafted. The list is the strategy — targeting quality is the single most reliable predictor of reply rate.
- Run campaigns in production. Email, LinkedIn, sometimes phone, coordinated across multiple domains and inboxes. This looks more like product management than sales: run controlled experiments, read performance data daily, and rebuild campaign architecture around what the numbers actually say. The campaign is the product.
- Integrate AI without losing the signal. Use AI for lead research, first-draft personalization, and CRM hygiene. Keep humans on system design and the judgment calls AI gets wrong (deal politics, when a campaign’s whole thesis needs to change). AI handles volume; you handle the decisions that need real thinking.
What We’re Looking For
This role needs two things that rarely live in the same person. You need both.
- Business acumen: ICP definition, pipeline strategy, knowing what converts and why.
- Technical depth: Connecting APIs, building enrichment/outbound workflows from scratch (in Clay, Bitscale, Freckle, or similar), wiring automation in n8n without filing a ticket to engineering. Technical ability without business sense builds systems that run beautifully and sell nothing. Business sense without technical skill means doing manually what should have been automated months ago. Only the combination grows pipeline.
The Stack
A Clay-class workflow tool (Clay, Bitscale, Freckle, or similar), Smartlead or Instantly, LinkedIn Sales Navigator, an enrichment stack like Prospeo or FullEnrich, a signal platform like Common Room or Trigify, plus a CRM (HubSpot/Salesforce).
Tool expertise is secondary. We don’t care which brand you’ve used we care that you think across five or more tools as one system and can pick up a new one in a weekend. The core skill is designing logic, not memorizing a UI. SQL/Python and Claude Code are a genuine plus.
You’re A Fit If
You think in systems, you’ve owned outbound numbers end to end, and you can point to pipe‐ line you generated (not activity you logged). You’ve already opened Claude Code, tried the tool we were about to ask you about, and have an opinion on why most campaigns underperform.
What You’ll Need
- 2–4 years in GTM engineering, growth, RevOps, or technical outbound.
- Hands-on experience building enrichment/outbound workflows from scratch in a Clay-class tool (Clay, Bitscale, Freckle, or similar). The brand is secondary, we care that you’ve built the logic yourself.
- Experience running multi-channel outbound in production with real deliverability ownership (SPF/DKIM/DMARC, domain warm-up, inbox rotation).
How We Work
We measure on qualified opportunities per dollar of total spend (people + tooling), not calls or emails sent. You’ll own systems, read the data daily, and rebuild around what the numbers say.