• Architect Multi-Channel Growth: Build demand gen and ABM programs that drive pipeline across key segments and buying committees. • Targeting & Playbooks: Lead cross-functional planning to define ICPs, target account lists, and full-funnel campaign plays. • Innovation: Continually test new channels and audiences to identify growth opportunities and increase efficiency. • Conversion Optimization: Partner with Web and Product Marketing to optimize the website, CTAs, and campaign messaging for maximum resonance. • Rapid Iteration: Run fast experimentation cycles on creative and tactics based on data and sales feedback. • Pipeline Ownership: Own ROI and velocity reporting, delivering actionable insights to executive stakeholders. • Infrastructure & Ops: Collaborate with Marketing & RevOps to manage attribution, lead scoring, and tracking systems. • Budget & Strategy: Manage spend and forecasting, sharing performance learnings to refine the broader GTM strategy.

• Verantworten der konsequenten Generierung von Nachfrage im Bereich Building Management Systems (BMS) • Identifizieren potenzieller Neukunden, Berater und Planer sowie deren langfristige Gewinnung für Honeywell Partner Channel Produkte und Services • Professionelles Business Development mit dem Focus auf Endanwendern, M&E Consultants, Planern, General- und Subunternehmern im Einklang zu Honeywell Geschäftszielen • Entwickeln von Geschäftsmöglichkeiten unter Berücksichtigung des Honeywell Portfolios • Erschließung neuer Verkaufschancen für Neubau-, Modernisierungs- und Ausbauprojekte im Bereich der Gebäudeautomation • Aktiver Beitrag zu Produktvertrieb, Projekten und Performance des Servicevertriebsteams • Generierung neuer qualifizierter Sales-, Service-Leads und Geschäftschancen für alle Marktkanäle • Mitarbeit an der BMS-Strategie und Implementierung via Research und Business Development • Erstellen und pflegen der Business Development Pläne für alle neu identifizierten Kunden • Regelmäßige Teilnahme und Mitarbeit in den monatlichen Sales / Service Team Meetings • Mitarbeit an der Markenentwicklung durch Erarbeitung von Marketinginhalten, Teilnahme an Messen zur Erweiterung von Netzwerk und Einfluss

• Manage, optimize, and scale Google Ads campaigns (search, display, retargeting) • Develop and implement SEO strategies to improve organic search visibility • Drive lead generation from individuals searching for AI research programs • Support online reputation management initiatives to strengthen brand perception • Collaborate with the marketing team on content and branding efforts • Contribute to improving admissions yield by increasing brand trust and digital visibility

• Build, maintain, and optimise the full tracking and analytics stack (GTM, GA4, consent mode, enhanced conversions, offline conversions, BigQuery). • Diagnose which growth lever will meaningfully shift performance. • Own attribution, cohort modelling, CAC/LTV forecasting, and revenue insights across the funnel. • Lead all paid media channels (Google, Meta, YouTube, Reddit, etc.) with a focus on high-intent acquisition and efficiency. • Build campaigns end-to-end, from audiences to creative testing, but with a strong emphasis on analytics-driven optimisation rather than surface-level campaign optimisers. • Reallocate budgets dynamically based on real-time performance, funnel data, and experiment learnings. • Run structured experimentation across landing pages, funnels, UX flows, and pricing, rapid A/B tests, multivariate tests, and behavioural experiments. • Partner with Product and Design to improve conversion rates across the full user journey. • Build the experimentation backlog, define hypotheses, measure lift, and codify learnings. • Work with Product, Sales, and Engineering to tell a consistent data story across the business. • Improve user experience through insights-led recommendations, messaging, and funnel diagnostics. • Collaborate with creative teams to guide high-impact concepts based on performance data. • Build processes, ETLs, dashboards, and automation that make performance visible across the company. • Continuously improve data quality, measurement integrity, and analytics depth.