Fit4Me is looking for a Growth Marketing Manager (Web Funnels) who will own purchase conversion across our web funnels and drive measurable CR growth through systematic A/B testing and data-driven decisions.
Your main challenge is to drive measurable growth across web funnels through systematic experimentation. You will be accountable for purchase conversion rate performance.
This role is a great fit if you:
Are ready to own purchase conversion across web funnels end-to-end.
Prefer speed, experimentation, and measurable results over processes for the sake of processes.
Work autonomously and take responsibility for outcomes, not just tasks.
Want to build products that help millions of people start a healthier lifestyle and see the real impact of your work.
Want to work directly with key stakeholders and decision-makers, without extra layers.
Your area of Impact:
Own purchase conversion across web funnels and be accountable for CR growth.
Design, run, and analyze A/B tests end-to-end: hypothesis → launch → analysis → rollout.
Optimize web funnels end-to-end: LP → quiz → paywall → purchase.
Prioritize experimentation hypotheses based on data, user behavior, and previous test results.
Analyze competitor pricing, paywall logic, and offers as a source of experimentation ideas.
Use key product metrics (CR, ARPU, LTV) as the foundation for decision-making and experiment evaluation.
Scale winning experiments across products and funnels.
Work closely with the CEO and Head of Product to iterate on experimentation strategy.
Collaborate cross-functionally with designers, developers, and analysts to implement and ship experiments.
What do you need to join us:
3+ years of experience in growth / CRO / product-oriented marketing within B2C subscription products.
Strong hands-on experience with A/B testing: hypothesis design, experiment setup, analysis, and decision-making.
Proven experience improving purchase conversion within web funnels.
Practical experience working with landing pages, quizzes, paywalls, and checkout flows.
Strong understanding of product metrics such as CR, ARPU, and LTV, and how to use them to evaluate experiments.
