Growth Hacker - Marketing

Role Overview

We are looking for a data-driven Growth Hacker to drive scalable user and revenue growth. This role focuses on identifying new growth opportunities, validating them through rapid experimentation, and scaling successful initiatives into repeatable growth engines.

• Identify and evaluate emerging acquisition channels (e.g., social commerce, affiliates, partnerships, influencers, new ad platforms)
• Continuously scan the market for high-potential, underutilized growth levers
• Develop hypotheses on how new channels or tactics can drive incremental growth

• Design and execute structured experiments to validate new ideas and channels
• Launch MVP campaigns or partnerships with minimal setup to test viability
• Define clear success metrics and evaluate performance against benchmarks

• Translate successful experiments into scalable and repeatable playbooks
• Drive execution to scale through internal teams or external partners
• Monitor unit economics (CAC, payback, incrementality) to ensure sustainable growth

• Use data to validate opportunities and measure experiment impact
• Build simple tracking frameworks for new channels and initiatives
• Leverage tools like Excel, SQL, or analytics platforms to support decision-making

• Identify and develop compounding growth mechanisms (referrals, UGC, partnerships)
• Convert one-time acquisition tactics into repeatable systems

• Collaborate with Product, Partnerships, and Marketing teams to launch initiatives
• Work with tech teams where required for integrations, tracking, or automation

• 3–7 years in growth, performance marketing, partnerships, or startup roles
• Demonstrated experience in launching and scaling new growth initiatives

• Strong experimental mindset with a bias for action
• Ability to work with data to validate ideas and measure outcomes
• Hands‑on experience with at least one acquisition channel (paid, partnerships, or organic)
• Strong understanding of unit economics and growth scalability

• Familiarity with SQL, Excel, or BI tools
• Basic knowledge of Python or R for data analysis or automation is a plus

• High ownership and accountability
• Comfortable working in ambiguity and moving quickly
• Commercially driven with strong problem‑solving skills