Accountabilities

AI-driven Growth Strategy: Design, develop, and implement AI-powered growth marketing strategies across multiple channels, identifying opportunities to expand B2B market reach, improve customer acquisition, and accelerate revenue growth.
Predictive Analytics and Lead Scoring: Develop and optimize predictive lead scoring models using machine learning technologies to identify high-value prospects, prioritize sales opportunities, and improve lead qualification.
Go-to-Market Collaboration: Partner with product, sales, and data science teams to integrate AI-driven insights into go-to-market strategies, ensuring alignment between marketing initiatives, customer needs, and business objectives.
Data Governance and Cybersecurity: Oversee marketing data quality, hygiene, and governance while ensuring compliance with applicable data privacy regulations and cybersecurity standards. Implement secure data-handling practices across marketing systems and assets.
Campaign Optimization and Experimentation: Lead A/B and multivariate testing initiatives across creative assets, landing pages, email sequences, and other campaign components, leveraging AI-powered tools to improve engagement, conversion rates, and campaign effectiveness.
Performance Analysis and Reporting: Monitor campaign performance, evaluate key growth indicators, develop actionable dashboards, and communicate strategic insights and recommendations to senior leadership.
Team Leadership and Development: Mentor and support junior marketing professionals, sharing knowledge of AI tools, data interpretation, growth marketing methodologies, and experimentation techniques.
Marketing Technology Innovation: Continuously evaluate and improve the marketing technology stack by integrating emerging AI APIs, automation platforms, and innovative workflows to enhance operational efficiency and scalability.
AI and Cybersecurity Awareness: Stay informed about developments in artificial intelligence, emerging cybersecurity threats, and industry best practices to maintain a competitive and secure marketing environment.
Ethical AI Implementation: Promote responsible AI adoption across marketing initiatives, ensuring appropriate bias mitigation, transparency, and ethical use of automated decision-making technologies.

Requirements

Professional Experience: At least 6 years of experience in B2B growth marketing, with a proven track record of developing and scaling revenue through data-driven marketing strategies.
AI and Machine Learning Expertise: Strong proficiency with AI and machine learning platforms and technologies, such as TensorFlow, PyTorch, and GPT-based models, with practical experience applying them to marketing challenges.
Analytical and Technical Skills: Advanced understanding of predictive modeling, customer segmentation, attribution analysis, lead scoring, and marketing performance measurement.
Growth Marketing Strategy: Demonstrated ability to design and execute effective B2B growth campaigns, optimize customer acquisition funnels, and deliver measurable improvements across key business metrics.
Creative and Strategic Thinking: Strong creative capabilities, with the ability to develop compelling campaign concepts and messaging that resonate with senior decision-makers and enterprise audiences.
Cybersecurity and Data Privacy: In-depth knowledge of cybersecurity frameworks, data protection regulations such as GDPR and CCPA, and secure data management practices.
Communication Skills: Excellent written and verbal communication skills, including the ability to translate complex AI and analytical insights into clear, practical business strategies and recommendations.
Leadership and Collaboration: Proven experience leading cross-functional initiatives, coordinating multidisciplinary teams, and managing large-scale marketing technology implementations.
Performance Orientation: Demonstrated success achieving measurable growth outcomes, including marketing-qualified leads (MQLs), sales-qualified leads (SQLs), and annual recurring revenue (ARR), preferably in fast-growing business environments.

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.

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