Senior AI-native Growth Marketer

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. Adaptability and Innovation: Ability to quickly learn and implement new AI tools, emerging technologies, and innovative marketing approaches while adapting to changing market conditions. Continuous Learning: Genuine interest in AI innovation, cybersecurity, and emerging marketing trends, with a willingness to share knowledge and best practices with colleagues and stakeholders. Ethical and Responsible Mindset: Understanding of the importance of responsible AI implementation, data privacy, and bias mitigation in marketing activities. Benefits Competitive Compensation: Annual salary range of INR 30–40 LPA , depending on experience, expertise, and qualifications. Remote Work: Fully remote working arrangement, offering the flexibility to work from anywhere in India. Full-time Employment: Opportunity to take on a senior-level position within a technology-driven and growth-oriented environment. Strategic Ownership: Lead impactful AI-powered growth initiatives and influence customer acquisition, marketing performance, and revenue generation. Advanced Technology Exposure: Hands-on opportunities to work with cutting-edge AI, machine learning, predictive analytics, and marketing automation technologies. Cross-functional Collaboration: Work closely with product, sales, and data science professionals to develop integrated growth strategies. Leadership Opportunities: Mentor junior marketing professionals and contribute to building advanced AI-driven marketing capabilities. Professional Development: Continuous exposure to emerging technologies, innovative marketing methodologies, and evolving cybersecurity practices.