The job

You own a book of SaaS and AI clients, from seed-stage products finding their first repeatable motion to platforms scaling past $50M ARR: their named account lists, their message tests, their monthly readouts, and the call where you tell them what to do next and why. AI is the noisiest category in B2B right now; your job is making one voice unmistakable in it. You are the judgment layer our AI pipelines report to, not the other way around.

What you'll own

• A portfolio of trust-led ABM programs for B2B SaaS and AI companies, PLG to enterprise sales-led
• Message strategy in a crowded category: angles that separate a real AI product from the noise, tested against named accounts, killed or scaled on evidence
• Translating product-led signals (signups, usage, expansion) into account-level warmth your clients' sales teams act on
• The monthly readout: reach, resonance, warmth, attribution, and the next moves, in plain language
• Client calls where you say "not yet" when the data says not yet

Required expertise

• LinkedIn Campaign Manager at the account-list level: matched audiences, list hygiene, the 300-member floor and how to build above it
• SaaS motion literacy: PLG versus sales-led funnels, ARR and NRR mechanics, how buying committees form around technical products
• AI market fluency: platform versus feature positioning, model-agnostic messaging, and how technical buyers smell vaporware
• Named-account list construction from firmographic, technographic, and product-usage signals
• Message test design: variant isolation, clean reads, knowing when a result is signal and when it is noise
• CRM and product-data attribution (HubSpot or Salesforce plus product analytics), first touch to closed-won and expansion

You, probably

• Have run ABM or demand programs for B2B SaaS or AI companies through at least one growth stage
• Can explain a technical product to a buying committee without flattening what makes it real
• Read a LinkedIn campaign and tell a resonance problem from a targeting problem
• Are comfortable telling a founder their favorite message is losing, even when it's about their model