Applicantz is seeking a Growth Marketing Manager to accelerate growth within their SMB eCommerce business through product-led growth strategies and AI-powered execution. The role focuses on optimizing monetization journeys and leveraging AI to enhance experimentation and operational efficiency while working cross-functionally with various teams.
Responsibilities:
- Define and optimize the SMB eCommerce growth funnel—from acquisition and activation through expansion, cross-sell, and upgrade
- Design and execute rapid experimentation programs across onboarding, in-product messaging, lifecycle communications, and eCommerce touchpoints
- Translate product usage data and behavioral signals into prioritized growth hypotheses and test plans
- Partner with Product and Analytics teams to identify high-intent engagement signals and strengthen the Product Qualified Lead (PQL) motion
- Analyze experiment results and funnel performance to generate actionable insights and inform investment decisions
- Support development of targeted messaging and lifecycle content aligned to customer stage, usage behavior, and expansion opportunities
- Develop dashboards and reporting frameworks to track activation, conversion, expansion, retention, and monetization impact
- Quantify opportunity size and expected business impact to prioritize initiatives effectively
- Leverage AI-powered tools and workflows where applicable to improve experimentation velocity, personalization, and operational efficiency
- Manage cross-functional growth initiatives end-to-end, ensuring alignment, accountability, and timely delivery
Requirements:
- 5+ years of experience in growth marketing, lifecycle marketing, digital marketing, or related roles in SaaS or eCommerce environments
- Demonstrated experience running structured experimentation programs (A/B testing, multivariate testing, rapid testing frameworks)
- Strong analytical skills with experience leveraging behavioral and performance data to inform decision-making
- Experience working cross-functionally with Product, Analytics, and Engineering teams
- Familiarity with product-led growth (PLG) principles and lifecycle marketing strategies
- Experience supporting customer-facing messaging and content development
- Strong project management and communication skills
- Owned a structured experimentation program end-to-end, not just someone who has 'run A/B tests' as part of a broader role — we need evidence of owning the full program: prioritization, test design, analysis, and iteration. Bonus if they can speak to a framework they used to prioritize their roadmap
- PLG and monetization experience in a self-serve SaaS model. Specifically activation and expansion — not acquisition. we want someone who has worked with product usage data to identify growth opportunities and translate them into experiments. experience with trial-to-paid conversion, upsell motions, or PQL frameworks is ideal
- Bias toward action with imperfect data. Our environment is complex and the data is messy. we need someone who moves quickly with incomplete information rather than waiting for ideal conditions. candidates who default to extensive analysis before acting are not a fit
- Experience driving growth in SMB or self-serve SaaS models
- Familiarity with a Product Qualified Lead (PQL) motion
- Hands-on experience with product analytics and experimentation platforms (e.g., Amplitude, Mixpanel, Adobe Analytics, Optimizely)
- Experience with marketing automation platforms, segmentation frameworks, and personalization strategies
- Background in B2B SaaS, digital commerce, or subscription models
- Comfort using AI-powered tools to accelerate analysis, content, or workflow efficiency
- Advanced degree in business, marketing, analytics, or related field