What you'll do
Accountabilities:
Own the end-to-end strategy for paid acquisition across channels such as Google, Meta, Bing, and native/prospecting platforms, optimizing for growth and subscription economics
Lead and develop a team of Growth Operators, providing coaching, prioritization, and performance direction to maximize impact
Allocate marketing investments across channels based on customer insights, LTV modeling, and business objectives
Identify growth opportunities across channels, funnels, creative, offers, and pricing, translating insights into actionable tests
Analyze performance trends, diagnose shifts, and uncover root causes behind growth or decline
Evaluate and test new acquisition channels and emerging platforms to expand scalable growth opportunities
Design experimentation roadmaps and ensure resources are focused on the highest-impact initiatives
Partner with engineering and data teams to build AI-enabled workflows, automation systems, and scalable marketing infrastructure
Define how human operators and AI systems collaborate to optimize acquisition performance and efficiency
Establish measurement frameworks, attribution models, and experimentation standards to connect marketing activity to business outcomes
Requirements:
5+ years of experience in growth marketing, performance marketing, or paid acquisition with ownership of business outcomes
Strong expertise across digital acquisition channels including Google, Meta, Bing, and programmatic/native networks
Proven track record of scaling subscription or recurring revenue businesses through experimentation and data-driven growth
Deep understanding of subscription economics including LTV, retention, conversion, and acquisition efficiency
Hands-on analytical capability, including SQL proficiency and ability to independently interrogate and interpret data
Experience designing and interpreting incrementality and lift tests (e.g., geo experiments, holdouts)
Strong fluency in AI-enabled marketing systems, including understanding of LLM behavior and automation workflows
Ability to translate marketing workflows into technical specifications and collaborate effectively with engineering teams
Systems-thinking mindset with strong prioritization, operational rigor, and decision-making under uncertainty
Proven leadership experience managing and developing high-performing teams in fast-moving environments
Strong communication skills with the ability to influence across product, marketing, and technical stakeholders
Experience in financial services, fintech, or subscription-based digital businesses is a strong plus
Benefits:
Competitive annual salary range: $165,000, $180,000 USD
Fully remote work within approved U.S. states
Unlimited vacation policy and generous paid parental leave
Comprehensive medical, dental, and vision coverage with low employee premiums
$1,000 annual stock investment benefit
Equity participation as part of total compensation package
High-autonomy environment with strong emphasis on experimentation and ownership
Exposure to advanced AI-driven marketing transformation initiatives.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
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Context
About Growth Marketing roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.