Role Description As Head of Paid Search & AI Advertising (f/m/d), you will take ownership of the strategic direction of our entire Paid Search practice while building our capabilities across emerging AI advertising channels. You will develop future-proof strategies for established search platforms as well as new AI-driven environments, including emerging advertising opportunities within ChatGPT and other platforms. You will define best-in-class standards and ensure that testing, learning, innovation, and continuous improvement are firmly embedded in our day-to-day work. You’ll operate in an international, remote-first environment with genuine strategic ownership and the opportunity to shape the future direction of our search and AI advertising offering. Full professional proficiency in both German and English is essential for this role. Qualifications - At least 5 years of experience in Paid Search / SEA / Search Advertising - Strong strategic understanding of performance marketing, business objectives, and digital ecosystems - Experience with complex account structures, automation, and modern Paid Search setups - A passion for developing hypotheses, testing ideas, and continuously improving performance - Proven experience in strategic consulting and direct client interaction - Structured, self-driven working style – especially in a remote environment - Fluent (business-level) German and English skills are required Requirements - Own the strategic direction of complex Paid Search setups and international client accounts - Develop and evolve cross-channel Paid Search and full-funnel strategies - Lead and prioritize operational initiatives with a clear focus on impact, scalability, and sustainability - Establish and continuously improve a strong testing and learning culture within Paid Search – including clear hypotheses, structured testing, and systematic derivation of insights - Ensure that new ideas, formats, and platform features are continuously evaluated, tested, and refined - Provide strategic consulting at eye level – including close collaboration and sparring with clients and internal stakeholders - Take functional leadership of the entire international SEA / Paid Search team: methodologies, standards, quality, and development - Enable, mentor, and support team members in their day-to-day operational work - Lead pitches, client presentations, and internal knowledge-sharing formats Benefits - 100% remote work with flexible working hours - A high level of trust and ownership from day one - Short decision-making paths and direct collaboration with strategy, tech, and management - International client projects with high visibility and strategic impact - No micromanagement – we measure outcomes, not hours - A collaborative, highly skilled team with a hands-on mindset - Plenty of room for professional growth, knowledge sharing, and personal development

- Analyze and improve existing processes across different departments (for example, Sales/Customer Support, etc.) - Reduce manual work using automation tools and AI-based solutions - Handle technical requests in internal chats, including resolving issues related to tools such as HubSpot, Aircall, Stripe, and similar platforms - Research tools, workflows, and technical solutions to support business needs - Design and introduce new processes that improve operational efficiency

• Analyze and improve existing processes across different departments (for example, Sales/Customer Support, etc.) • Reduce manual work using automation tools and AI-based solutions • Handle technical requests in internal chats, including resolving issues related to tools such as HubSpot, Aircall, Stripe, and similar platforms • Research tools, workflows, and technical solutions to support business needs • Design and introduce new processes that improve operational efficiency

• Own the end-to-end technical recruiting pipeline for PhD AI/ML roles including full-time and internships, helping to define the process as a scalable, distributed system that must maintain a high quality bar under extreme volume. • Partner with engineering and data leaders to define role scopes, assess capability gaps, and shape hiring strategy across emerging domains like generative AI, LLMs, NLP, computer vision, and infrastructure automation. • Relentlessly monitor recruiting health metrics to translate complex data into actionable insights and strategic recommendations with hiring partners. • Act as a talent business partner to executive leadership, hiring managers, and cross-functional teams (PBPs, People Analytics, Engineering) to forecast needs, secure resources, and influence hiring velocity and quality. • Design, implement, and continuously refine scalable, end-to-end PhD hiring programs that deliver an outstanding, human-centered candidate experience from first touchpoint through conversion and onboarding. • Partner with leaders and cross functional partners to execute the PhD strategy including ML conferences, campus strategy, academic collaborations, and creative outreach strategies. • Serve as a subject matter expert on AI/ML PhD market trends and innovative sourcing techniques. • Ensure that operational excellence is at the forefront of your process - influencing and improving processes to help the team work smarter, faster, and at scale.