Head of AI-Driven Marketing

📌 Core Information 🔹 Job Title: Head of AI-Driven Marketing 🔹 Company: Userlane GmbH 🔹 Location: Munich, Bavaria, Germany 🔹 Job Type: Full Time 🔹 Category: Marketing, AI, SaaS 🔹 Date Posted: April 17, 2025 🔹 Experience Level: 5-10 years 🔹 Remote Status: Hybrid (Munich East office) 🚀 Job Overview 🌟 Lead the transformation of Userlane's marketing function by embedding deep AI capabilities at its core. 🌟 Architect, build, and operate an advanced, AI-powered marketing engine for demand generation, customer lifecycle optimization, content creation, and performance analysis. 🌟 Collaborate across functions to ensure AI-driven marketing is both technically sound and aesthetically aligned with Userlane's brand. 🌟 Mentor a small team and foster a culture of innovation, data-driven decision-making, and AI adoption. 📋 Key Responsibilities ✅ Develop and execute a comprehensive, AI-integrated marketing strategy. ✅ Lead AI-powered demand generation efforts, with a focus on targeting, creative optimization, and performance analysis. ✅ Own the MarTech stack with an AI-first lens, evaluating, selecting, and integrating technologies based on their AI capabilities. ✅ Translate marketing strategy into technical AI execution, bridging the gap between business goals and specific AI models and data pipelines. ✅ Oversee brand consistency and strategic positioning, ensuring all AI-driven activities and assets enhance the core brand message. ✅ Oversee digital presence, managing the company website and other digital properties, and utilizing AI for SEO, personalization, CRO, and content optimization. ✅ Lead and mentor the team, fostering a culture of innovation, data-driven decision-making, and AI adoption. ✅ Collaborate closely with Sales, Product, and Customer Success to ensure tight GTM alignment and feedback loops. 🎯 Required Qualifications Education: Bachelor's degree in a relevant field (e.g., Marketing, Computer Science, or a related discipline). An advanced degree (Master's or Ph.D.) would be an asset. Experience: 5+ years of strategic marketing experience, preferably in B2B SaaS targeting enterprise clients, with a strong technical foundation and deep expertise in applying AI/ML to real-world problems. Required Skills: - Proven ability to leverage AI/ML to create efficient, scalable marketing processes. - Keen eye for design and brand aesthetics, with demonstrable design taste and ability to ensure brand consistency and quality across all marketing outputs. - Data-driven growth marketing, lead acquisition, and customer lifecycle optimization experience, ideally enhanced by AI techniques. - Analytical and quantitative mindset, with the ability to design experiments, interpret complex data, and translate AI model performance into business impact. - Familiarity with modern MarTech stacks and experience integrating diverse systems, potentially via APIs. - Strategic thinking and leadership capabilities, with a builder/practitioner mentality. - Excellent communication skills, with the ability to articulate complex technical concepts and strategic brand considerations. - Fluency in English. Preferred Skills: - Experience with specific AI/ML tools and frameworks relevant to marketing. - Familiarity with the Digital Adoption Platform (DAP) industry. - Knowledge of the German market and enterprise buyer landscape. 💰 Compensation & Benefits Salary Range: €80,000 - €120,000 per year (based on experience and qualifications). This is an estimate, and the actual salary may vary based on the company's compensation structure and the candidate's negotiation skills. Benefits: - Health and well-being programs - Leisure perks - Team events - Flexible hours and remote work options - Modern office in Munich East (Neue Balan) - In-house training and learning opportunities - Opportunity to work for a global leader in the Digital Adoption Platform (DAP) industry Working Hours: Full-time, with a flexible work arrangement that includes remote work options and a modern office in Munich East. 📌 Applicant Insights 🔍 Company Context Industry: Userlane operates in the Digital Adoption Platform (DAP) industry, which focuses on helping organizations understand and improve the value of their technology investments by addressing adoption barriers across software applications. Company Size: Userlane is a mid-sized company with a global presence, offering a supportive and engaging work environment with over 20 nationalities represented in its team. Founded: Userlane was founded in 2016 and has since grown to become a market leader in the DAP industry, working with some of the world's most recognizable enterprises. Company Description: - Userlane is an award-winning Digital Adoption Platform that empowers organizations to understand and improve the value of their technology investments. - The company identifies and eliminates adoption barriers across software applications, helping enterprises deliver employees and customers a more engaging, rewarding, and productive software experience. - Userlane's Adoption Suite helps enterprises realize the full value of their software investments by delivering a seamless, intuitive user experience that drives user engagement, productivity, and adoption. Company Specialties: - Digital Adoption Platform (DAP) - Software usability - Employee and customer experience - AI-driven marketing - Enterprise software Company Website: www.userlane.com 📊 Role Analysis Career Level: This role is a senior-level position, reporting directly to the Chief Marketing Officer (CMO) and working closely with other executives, such as the Chief Product Officer (CPO) and Chief Revenue Officer (CRO). Reporting Structure: The Head of AI-Driven Marketing will lead a small team of marketing professionals and collaborate with various departments, including Sales, Product, and Customer Success. Work Arrangement: This role follows a hybrid work arrangement, with a modern office in Munich East (Neue Balan) and remote work options available. Growth Opportunities: - Develop and grow the AI-driven marketing function within Userlane. - Contribute to the company's overall growth and success by driving demand generation and customer lifecycle optimization efforts. - Gain experience working in a fast-paced, innovative environment with a global customer base. - Opportunities for professional development and career advancement within the marketing department or other areas of the business. 🌍 Location & Work Environment Office Type: Modern, collaborative workspace in Munich East (Neue Balan) with remote work options available. Office Location(s): Munich East, Germany Geographic Context: - Munich is the capital and most populous city of the German state of Bavaria, with a vibrant tech industry and a strong focus on innovation and entrepreneurship. - The city is home to numerous tech startups, multinational corporations, and research institutions, providing ample networking opportunities and a thriving tech ecosystem. - Munich offers a high quality of life, with a rich cultural scene, excellent infrastructure, and a strong sense of community. Work Schedule: Flexible hours with a focus on results and productivity, allowing for a healthy work-life balance. 💼 Interview & Application Insights Typical Process: 1. Online application submission and resume screening. 2. Phone or video screening to discuss the role, qualifications, and cultural fit. 3. In-depth technical interview focused on AI/ML skills and marketing strategy. 4. Case study presentation or take-home assignment to assess problem-solving skills and strategic thinking. 5. Final interview with the CMO and other key stakeholders to discuss the role's fit and next steps. Key Assessment Areas: - AI/ML technical skills and marketing strategy. - Problem-solving and critical thinking abilities. - Cultural fit and alignment with Userlane's values and mission. - Communication and presentation skills. Application Tips: - Tailor your resume and cover letter to highlight your AI/ML skills, marketing experience, and relevant achievements. - Prepare for the technical interview by brushing up on your AI/ML knowledge and reviewing recent marketing trends and best practices. - Familiarize yourself with Userlane's products, services, and target market to demonstrate your understanding of the business and industry. - Be prepared to discuss your approach to AI-driven marketing and provide examples of successful AI/ML implementations in marketing campaigns. ATS Keywords: AI, Machine Learning, Automation, Demand Generation, Content Marketing, Brand Stewardship, Data-Driven Decision Making, MarTech, SEO, Performance Analysis, Customer Lifecycle Optimization, Design Aesthetics, Analytical Mindset, Strategic Thinking, Leadership, Communication Skills 🛠️ Tools & Technologies - Modern MarTech stack, including AI-powered tools and platforms for demand generation, customer lifecycle optimization, and content creation. - AI/ML frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. - Data visualization and analytics tools, such as Tableau, Power BI, or Looker. - Marketing automation and CRM platforms, such as HubSpot, Marketo, or Salesforce. - Collaboration and productivity tools, such as Slack, Microsoft 365, or Google Workspace. 👔 Cultural Fit Considerations Company Values: - Innovation: Embrace continuous learning and improvement. - Customer-centricity: Focus on understanding and meeting customer needs. - Collaboration: Work together to achieve common goals and drive success. - Integrity: Act with honesty and transparency in all aspects of the business. - Excellence: Strive for the highest standards in all endeavors. Work Style: - Userlane values a dynamic, fast-paced work environment with a strong focus on collaboration and innovation. - The company encourages a results-driven, data-informed approach to decision-making and continuous improvement. - Userlane fosters a culture of open communication, active listening, and constructive feedback. Self-Assessment Questions: - How do you align with Userlane's core values, and how have you demonstrated these values in your previous roles? - How comfortable are you working in a fast-paced, collaborative environment with a strong focus on innovation and continuous improvement? - How do you approach problem-solving and decision-making, and how have you applied these skills in previous marketing roles? 🛡️ Potential Challenges - Balancing the technical aspects of AI-driven marketing with brand stewardship and design sensibility. - Integrating AI capabilities into existing marketing processes and workflows. - Ensuring the ethical and responsible use of AI in marketing campaigns and customer interactions. - Managing a small team with diverse skills and backgrounds, fostering a culture of collaboration and continuous learning. - Adapting to the fast-paced, dynamic nature of the tech industry and staying up-to-date with the latest AI/ML trends and best practices. 📈 Similar Roles Comparison - Head of Marketing vs. Head of AI-Driven Marketing: The primary difference is the focus on AI/ML integration and the requirement for hands-on AI/ML experience in the latter role. - Marketing Manager vs. Head of AI-Driven Marketing: The Head of AI-Driven Marketing role carries more strategic responsibility, requires deeper AI/ML expertise, and involves leading a team focused on AI-driven marketing initiatives. - AI Specialist/Engineer vs. Head of AI-Driven Marketing: The Head of AI-Driven Marketing role requires a broader set of skills, including marketing strategy, brand stewardship, and leadership, in addition to AI/ML expertise. 📝 Sample Projects - Developing and implementing an AI-driven demand generation strategy that leverages machine learning algorithms to optimize targeting, creative optimization, and performance analysis. - Creating an AI-powered content creation and distribution platform that generates personalized, engaging content tailored to enterprise buyers. - Building and integrating an AI-driven customer lifecycle optimization engine that analyzes customer data to identify and address adoption barriers, improving customer engagement and retention. ❓ Key Questions to Ask During Interview - How does Userlane plan to support the growth and development of the AI-driven marketing function in the coming years? - What are the key priorities for the first 90 days in this role, and how can I contribute to achieving these goals? - How does Userlane approach integrating AI capabilities into existing marketing processes and workflows, and what resources are available to support this effort? - What is the company's strategy for ensuring the ethical and responsible use of AI in marketing campaigns and customer interactions? - How does Userlane support the professional development and career advancement of its employees, particularly in the marketing department? 📌 Next Steps for Applicants To apply for this position: 1. Submit your application through this link. 2. Customize your resume and cover letter to highlight your AI/ML skills, marketing experience, and relevant achievements. 3. Prepare for the technical interview by brushing up on your AI/ML knowledge and reviewing recent marketing trends and best practices. 4. Familiarize yourself with Userlane's products, services, and target market to demonstrate your understanding of the business and industry. 5. Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications for the role. ⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.