[Hiring] Growth Marketing Hacker @Improvado

Role Description

We're looking for a Growth Marketing Hacker to join Improvado's Marketing team. This is a hands-on execution role — not a strategy role. You'll own campaigns end-to-end, move fast, and use AI as your main unfair advantage.

We're not looking for someone to manage processes or brief agencies. We're looking for someone who gets their hands dirty, ships fast, and uses AI to multiply their output. If you've been in marketing long enough to know what actually moves the needle — and you're the type who'd rather build the thing than write a spec for it — you'll fit right in.

What you'll do:

• Launch, run, and optimize paid acquisition campaigns across LinkedIn, Google, programmatic, and emerging AI-native channels — hands-on, no handoffs
• Build AI-powered workflows that replace manual work: copy generation, audience segmentation, enrichment, reporting
• Generate pipeline from targeted account lists (ABM approach) — from signal to sequence, fast
• Experiment with new growth channels; kill what doesn't work, scale what does
• Use AI tools (Claude, ChatGPT, Clay, n8n, etc.) to enrich and qualify leads before they hit sales
• Analyze funnel performance, surface insights, and act on them without waiting to be asked

Qualifications

• You use AI tools every day — not to experiment, but to actually do the job: write copy, build workflows, research, analyze
• 5+ years of hands-on experience in performance, growth, or demand gen marketing
• You've launched and optimized paid campaigns yourself (not just managed agencies)
• Strong analytical skills — comfortable with attribution, funnel metrics, and dashboards
• B2B SaaS experience
• Advanced English (written and spoken)
• Experience with programmatic / ABM tools (6sense, Demandbase, or similar)

Requirements

• Prior team or project management experience — you know how to coordinate, even if that's not your main job here
• Hands-on with Clay, n8n, Make, Apollo, or similar automation/enrichment tools
• Basic scripting (Python, SQL) — enough to pull data or automate a task
• Familiarity with the MarTech/analytics space

Benefits

• Remote-first environment
• Strong product/market fit: marketing data product for US-based enterprises
• 20 working days of PTO per year
• US holidays and additional days off
• Professional development reimbursement