Demand Generation Lead
FairCom
·Yesterday
- Location
- Sandy, Utah · Columbia, Missouri
- Workplace
- Hybrid
- Type
- Full-time
- Seniority
- Lead
- Source
- Workable
Description
We're a small, scrappy marketing team looking for a hands-on, data-obsessed problem solver who loves to build, experiment, automate, and get things done. You'll own our paid acquisition engine, website conversions, HubSpot marketing operations, and performance intelligence—turning marketing investment into measurable qualified pipeline.
This is not a campaign-coordination job. One day you'll restructure Google Ads; the next you'll troubleshoot a form, build a BI dashboard, analyze behavior in Microsoft Clarity, or automate a repetitive workflow with AI. We want someone who finds the problem, builds the solution, measures the results, and makes it better.
You'll work with product marketing, sales, and engineering to reach data scientists, engineers, developers, IT leaders, architects, and industrial technology buyers. You don't need to know databases or industrial software on day one; curiosity, ownership, and fast learning matter more.
What Success Looks Like
- First 30 days: Audit paid channels, HubSpot, forms, and tracking; establish reliable baselines and fix the most urgent problems.
- By 60 days: Improve priority campaigns and conversion paths, establish actionable BI reporting, launch structured tests, and ship a useful automation.
- By 90 days: Demonstrate measurable operational or acquisition improvements and present a data-backed roadmap for scaling and further automation.
The Day-to-Day
- Paid Advertising & Demand Generation
- Personally build, manage, audit, and optimize Google Ads, LinkedIn Ads, and Reddit Ads campaigns, including structure, audiences, keywords, bids, budgets, creative tests, and tracking.
- Use Semrush and campaign data to identify search demand, competitive opportunities, wasted spend, and profitable investments; optimize for qualified pipeline, not vanity metrics.
- Work with product marketing and sales to test messages and offers for complex B2B buying committees; recommend when to scale, shift, or stop spending.
- HubSpot, Marketing Operations, & Website Conversion
- Own website form performance, landing page conversions, lead capture, tracking, and integrations; build and improve landing pages, including Spike.ai experiences.
- Configure and troubleshoot HubSpot forms, properties, lists, workflows, lifecycle stages, lead scoring, routing, and follow-up automation.
- Measure contact engagement across website activity, email, forms, campaigns, and lifecycle progression; partner with Sales/RevOps on reliable handoffs.
- Use Microsoft Clarity to identify conversion friction and intent/account engagement to improve audience activation and sales alignment.
- Maintain trustworthy GA4, Google Tag Manager, UTM, event, and ad conversion tracking; resolve broken forms, missing events, duplicates, and sync issues.
- Business Intelligence, Analytics, & Experimentation
- Build decision-ready BI dashboards and data models that connect paid media, website behavior, HubSpot engagement, funnel conversion, opportunities, and revenue.
- Use funnel economics, cohort analysis, forecasting, and statistical reasoning to explain performance and guide budget allocation; identify anomalies and attribution limitations.
- Design and run structured tests across audiences, ads, offers, forms, and landing pages; define hypotheses, success criteria, and learnings before scaling.
- AI, Automation, & Marketing Technology
- Use AI and automation to accelerate research, campaign production, analysis, reporting, lead management, and repetitive operational work.
- Own the effectiveness of the existing martech stack; proactively identify gaps, evaluate new technology, build business cases, and lead pilots and implementation within approved budget and security guardrails.
- Connect systems through native integrations, APIs, or tools such as Zapier, Make, and n8n; measure improvements in time saved, reliability, conversion, or pipeline.
- Build with appropriate human review, data privacy controls, documentation, and safeguards for changes that affect spend or customer data.