Responsibilities

• Own and Scale Paid Channels
• Run day-to-day ownership of global paid search, paid social (LinkedIn, Meta, YouTube), programmatic display, and content syndication
• Set channel strategy by segment, geography, and funnel stage — not just by channel defaults
• Manage a significant paid media budget with full accountability for pipeline contribution, cost-per-opportunity, and ROI by pod
• Partner with RevOps and Marketing Ops to close measurement gaps — you won’t accept "last-touch" as the answer
• Build Systems, Not Just Campaigns
• Design and implement repeatable operating processes: campaign scaffolding, naming conventions, QA checklists, reporting cadences, and launch workflows
• Build automation layers that reduce manual work — bidding logic, budget pacing alerts, performance anomaly flags, and audience refresh triggers
• Reduce agency dependency by bringing capability in-house, and maintain a clear view of what the agency layer should and shouldn’t own
• Create and maintain a living playbook so your program can scale without you being the single point of failure

Requirements

• 5–8+ years of B2B SaaS paid media experience, with direct ownership of paid search and paid social at a fast-growing company
• Proven track record of generating qualified pipeline — not just leads — from paid channels
• Demonstrated systems thinking: you\'ve built something that runs without you having to touch it every day
• Hands-on fluency with AI tools applied to marketing work (not theoretical — you actually use them)
• Strong analytical foundation: you build your own reports, interpret your own data, and don\'t wait for someone else to tell you what\'s happening
• Experience managing $1M+ paid media budgets with accountability for performance outcomes
• Excellent communicator — can synthesize paid media performance for executives without hiding behind jargon

Preferred

• Experience running paid programs across global markets with localization considerations
• Background in ABM and account-based paid strategies (6sense, Demandbase, or similar)
• Familiarity with AI-native marketing ops patterns: automated reporting, LLM-assisted copy testing, workflow automation
• Experience working in a high-growth cybersecurity or enterprise SaaS company
• Prior experience restructuring or reducing agency relationships while maintaining output quality