Performance Marketing Lead

CardFlight
11hRemote

About The Position

We are hiring a Performance Marketing Lead to own acquisition execution and measurement end to end. This role is responsible for generating profitable attention, traffic, and qualified leads through a mix of paid channels, performance partnerships (affiliates and referrals), and scalable distribution. You will run day-to-day campaign operations, leverage AI throughout your process, build repeatable growth experiments, and maintain rigorous attribution from click to CRM to revenue outcomes. This is a builder role, not just of channels and programs, but of how modern acquisition gets done. You'll bring tools, workflows, and a point of view we don't have today and raise the ceiling for what a lean team can produce. You must have proven you can take a channel or acquisition program from scratch and scale it. Success is measured in business results, not activity metrics. You will build and own: A diversified acquisition engine that produces qualified leads consistently Reliable attribution and reporting that ties spend to opportunity and revenue outcomes An experimentation cadence that scales winners and kills underperformers quickly — with the discipline to do both fast A performance partnership channel (affiliates, referrals) that becomes a meaningful source of pipeline An AI-powered operating model that raises the team's ceiling. Your choice of tools, and you’ll build the workflows that generate results and show us what's possible

Requirements

  • 3-5+ years running profitable paid acquisition in B2B SaaS, fintech, payments, or similarly competitive markets, experience with application or underwriting a plus
  • You've personally managed tens of thousands in monthly ad spend and can show the CAC, conversion rates, and ROAS you achieved
  • Built something from zero to scale, not just optimized existing programs
  • Deep ad platform fluency: campaign structure, bidding strategies, Quality Score optimization, audience layering
  • Attribution competence in a cookieless environment, first-party data strategy, server-side tracking, CRM integration, modeled and multi-touch attribution
  • Affiliate/partnership experience, you've recruited partners, structured offers, and tracked performance
  • Comfortable with constraints, you've made small budgets work, not just managed large ones as this is about efficiency first
  • Agentic workflows, you've built or orchestrated multi-step AI pipelines that run tests, read outputs, and iterate. Not prompting a chatbot for headlines; actually compressing work that used to take days into hours
  • Velocity, your testing throughput is demonstrably faster because of how you use AI tools, and you can prove it with results. You also know where AI breaks down and you validate before you act

Responsibilities

  • Paid Acquisition (60%)
  • You own paid acquisition from spend to revenue outcome. That means hitting payback period targets, improving unit economics over time, and making disciplined channel decisions based on what the data actually says
  • Daily optimization: bid strategies, audience refinement, creative testing, landing page variants
  • Weekly decision-making: scale, iterate, or kill based on actual CAC and conversion data
  • You manage the budget like it's your money because we track every dollar to closed revenue
  • Performance Partnerships (20%)
  • Build and manage affiliate/referral programs that generate qualified merchant leads
  • Recruit partners, negotiate terms, create offers that convert
  • Own tracking infrastructure so we know exactly what drives what
  • Merchant comparison sites, industry aggregators, referral networks—if it performs, you scale it
  • Growth Experiments (20%)
  • Find channels our competitors haven't discovered or exhausted yet
  • Test unconventional tactics: Reddit communities, vertical-specific forums, niche directories
  • Launch rapid experiments with clear hypotheses and kill criteria
  • Build and run agentic AI workflows that compress testing cycles — automated variant generation, performance reads, and iteration loops with minimal manual intervention

Benefits

  • US location-neutral work environment
  • Home-office equipment stipend
  • Flexible paid time off
  • Employee Engagement (Lunch & Learns, team building events)
  • Learning & Development culture
  • Comprehensive health benefits
  • Competitive compensation and company ownership/stock options
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