Remote AI-Driven ABM Campaign Manager for Enterprise Growth

Jobgether; Oklahoma City (OK); Remote; USD 114,000 - 135,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Remote work

Paid time off

Job summary

Jobgether is seeking an experienced Campaign Manager (ABM) in the United States to drive enterprise pipeline growth using AI-powered account-based marketing. You will transform account intelligence into personalized, multi-channel campaigns across email, paid media, events, content, and partnerships, aligning with account priorities and sales goals.

You will lead cross-functional teams, develop an experimentation roadmap, and measure impact on pipeline, using AI-driven insights to refine

Qualifications

• 8+ years in demand generation and ABM with enterprise focus.
• Hands-on experience building one-to-one and one-to-few campaigns.
• Proficient with AI tools, prompt engineering, and insights synthesis.
• Strong analytics, testing, and measurement capabilities.

Responsibilities

• Develop AI-powered account intelligence and profiles.
• Map buying committees and document priorities and influence.
• Design and execute personalized ABM programs across channels.
• Lead cross-functional teams and manage timelines and budgets.
• Own testing roadmap with hypotheses, metrics, and success criteria.
• Build dashboards and scalable ABM playbooks.

Skills

Demand generation

Account-based marketing

AI / LLM proficiency

Analytics & experimentation

ABM platforms (6sense/Demandbase)

HubSpot

Salesforce

Cross-functional leadership

Sales enablement collaboration

Tools

HubSpot

Salesforce

6sense

Demandbase

Job description

Jobgether is seeking an experienced Campaign Manager (ABM) in the United States to drive enterprise pipeline growth using AI-powered account-based marketing. You will transform account intelligence into personalized, multi-channel campaigns across email, paid media, events, content, and partnerships, aligning with account priorities and sales goals.

You will lead cross-functional teams, develop an experimentation roadmap, and measure impact on pipeline, using AI-driven insights to refine