B2B Paid Technical Contractor — LinkedIn & Meta

We're a niche B2B brand targeting a small, technical professional audience — native platform targeting doesn't reach these people reliably. We need someone who knows how to engineer precision B2B audiences on platforms that weren't built for B2B, and measure whether those audiences are actually moving pipeline. What you'll own Building the technical foundation (Meta CAPI, UTM standardization into HubSpot, enriched custom audience setup for high match rates on LinkedIn and Meta), managing ongoing audience rotation and creative testing, and owning the measurement framework including holdout tests and incrementality analysis. On the creative side, developing and testing copy and campaign concepts written for a technical professional audience — hooks that speak to formulation problems and supply chain decisions, not lifestyle benefits. What this role is not Managing campaigns inside the native platform UI and calling it B2B targeting. Treating high CPC on an ABM campaign as a problem to fix by broadening the audience. Swapping headline colors and calling it a creative test. Blaming audience strategy when the real issue is broken tracking. The stack This gives you a sense of the tooling environment and the level of sophistication we're expecting. You don't need to have used every tool listed — but you should have worked with comparable tools at each layer and be able to speak to why you'd make different choices. ICP validation — website visitor intelligence to see which companies and job titles are already engaging organically before building outbound lists (Primer, Warmly, or equivalent) List building — B2B prospecting and contact data (Apollo, ZoomInfo, or equivalent) Data enrichment — waterfall enrichment to match personal emails and identifiers for high match rates on Meta and LinkedIn (Clay, People Data Labs, Datagma, or equivalent) Account scoring — custom ICP scoring model built from observed conversion signal, not assumed firmographics (Keyplay, or equivalent) Audience sync — enriched audience activation and refresh across LinkedIn and Meta; static manual uploads are a fallback, not the target state (Primer, or equivalent) Channel activation — LinkedIn Campaign Manager and Meta Ads Manager; primary channels with distinct creative and measurement strategies for each Conversion tracking — Meta CAPI (server-side), UTM standardization, click ID passthrough into HubSpot; this is non-negotiable infrastructure, not an afterthought Attribution and measurement — holdout/incrementality testing to prove pipeline influence, not last-click reporting (native platform lift tests, HockeyStack, Dreamdata, or equivalent) CRM — HubSpot as the control tower that all audience, conversion, and pipeline data flows back into Screening process Candidates who pass the resume screen go through three steps before any offer. Step 1 — Written pre-screen Three short scenario questions. These questions have right and wrong answers. Generic or platform-surface responses end the process here. Step 2 — Live tool demo (30 minutes, screen share) Choose one of the following: Option A — Enrichment workflow. Walk us through how you take a raw B2B contact list and enrich it with personal identifiers for high match rates on Meta and LinkedIn. Show the actual tool or stack you use, your provider waterfall logic, how you handle unmatched records, and how you QA before uploading. We're evaluating the mechanics, not which specific tool you use. Option B — Audience setup and diagnosis. Walk us through a custom B2B audience you've built and activated on LinkedIn or Meta — using whatever approach you used at the time. Show how it was defined, what match rates looked like, and walk us through a moment where performance declined and how you diagnosed and fixed it. We're evaluating whether you can reason through platform behavior systematically, not which tools you've used. Option C — Case study with real numbers. A specific B2B campaign where you moved from native targeting to enriched custom audiences. Show actual results: match rates, CPM/CPC change, and evidence of pipeline influence. Walk us through the decisions, what worked, and what you'd do differently. Step 3 — Paid trial A scoped two-week deliverable — typically a tracking audit and first-draft audience architecture — paid at an agreed day rate before any longer commitment. Engagement One contractor, not an agency. 10–20 hours per month once built, heavier during the initial 4–6 week setup. Rate negotiable based on experience. We look forward to your communication.