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AI-Powered Job Summary
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This role offers the opportunity to lead product-led growth for a high-velocity platform connecting creators and audiences. You will own the systems, experiments, and analytics that drive activation, retention, monetisation, and viral growth across the platform. Working closely with cross-functional teams in product, engineering, data, and marketing, you will design, optimise, and scale growth mechanisms that directly impact revenue and engagement. You will build and mentor a world-class Growth team while establishing processes, KPIs, and experimentation infrastructure to accelerate decision-making. This is a high-autonomy role in a fast-paced, remote-first environment, where your strategic and analytical expertise will shape the company’s trajectory and long-term success.
Accountabilities
- Lead the product-led growth engine, focusing on creator and fan onboarding, activation, retention, and monetisation
- Design and optimise referral systems, viral loops, and engagement mechanics to drive sustainable growth
- Establish high-velocity experimentation infrastructure with clear success metrics and feedback loops
- Analyse activation funnels, retention curves, ARPU, and other product KPIs to inform strategic decisions
- Build, mentor, and scale a Growth team across PM, Engineering, and Data, ensuring top talent and high performance
- Collaborate closely with Product, Engineering, Marketing, and Data to align growth initiatives with broader business objectives
- Implement growth OKRs, review cycles, and operating rhythms to drive accountability and transparency
- Proven experience leading product-led growth initiatives, building end-to-end growth systems rather than optimising individual channels
- Deep understanding of activation, retention, monetisation, and viral mechanics, ideally in two-sided marketplaces, PLG SaaS, or consumer platforms
- Strong analytical skills and experience with product analytics tools such as Amplitude or Mixpanel
- Track record of hiring, coaching, and scaling high-performing cross-functional teams
- Experience running experimentation programs and interpreting complex product and behavioural data
- Ability to operate in ambiguity, think in systems and loops, and create clarity for teams and stakeholders
- Strong communication and collaboration skills with a partner-oriented mindset and low ego
- Competitive salary with executive-level visibility and impact
- Remote-first flexibility with support for wellbeing and personal growth
- Unlimited holiday policy to encourage work-life balance
- Budget for professional development and team growth
- Opportunity to directly influence GMV, retention, and long-term business leverage
- Culture built on innovation, transparency, ownership, and speed
- Participation in shaping a high-growth, creator-focused platform
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills
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