• Drive ownership - Own and evolve the existing structured financial data taxonomy library at AlphaSense, inclusive of all client-facing labels, metric definitions and dataset classifications, ensuring both backwards compatibility and future proofing. • Set the standard - Understand existing naming standards and define how label conventions and governance principles apply across a growing range of data types, ensuring clients can intuitively discover, understand, and leverage the data Alpha-Sense has to offer. • Collaborate cross-functionally with engineering, data, product, sales, and client-facing teams to align stakeholders on taxonomy decisions and translate conceptual frameworks into scalable, production-ready systems • Serve as the internal subject matter expert on data semantics, and develop and maintain official internal and external documentation ensuring taxonomy standards are clearly articulated and accessible to all stakeholders • Proactively identify gaps and inconsistencies as new datasets are onboarded, and drive resolution in a structured and scalable way • Design and maintain taxonomy and data structures with AI and LLM compatibility as a core consideration, ensuring labels, definitions, and conventions support model training, inference, and broader AI-driven automation • Lay the foundation for a future taxonomy practice — building repeatable frameworks and positioning this function for team growth over time

• Develop differentiated messaging for thermal control systems for AI products (e.g., GPUs, ASICs, AI accelerators, SoCs, CPO, pluggable transceivers) • Articulate value across performance, power efficiency, and thermal design considerations • Translate complex concepts such as optical transceiver laser thermal control, AI server and GPU cooling, rack density, cooling requirements, and energy efficiency into customer-impact narratives • Lead launches of silicon and AI platform solutions optimized for high-density, thermally constrained environments • Develop GTM strategies that highlight performance-per-watt, cooling efficiency, and infrastructure readiness • Partner with product and engineering teams on positioning tied to data center scalability and sustainability • Analyze trends across AI infrastructure, high-performance computing (HPC), and data center thermal management • Track competitive approaches to liquid cooling, immersion cooling, advanced air cooling, and energy-efficient architectures • Develop insights on how competitors address heat density, power consumption, and AI cluster scaling challenges • Equip sales teams with materials explaining thermal tradeoffs, rack-level constraints, and cooling requirements • Develop tools to communicate TCO, power usage effectiveness (PUE), and data center operational efficiency • Collaborate with ecosystem partners including data center operators, cloud providers, and cooling and infrastructure vendors (e.g., liquid cooling solutions) • Create content on AI infrastructure challenges, including power delivery, cooling, and scaling constraints • Publish whitepapers and technical briefs on AI workload-driven thermal demands, cooling technologies (liquid cooling, immersion, direct-to-chip), sustainable AI infrastructure, etc. • Represent the company in discussions on AI data center design and efficiency trends

• Building media and tech that adolescent girls in Africa and Asia want, trust, and need. • Providing safe spaces to access crucial facts about health, education, and relationships. • Empowering girls to redefine what is possible. • Currently deploying three chatbots in India, South Africa and Kenya, providing answers at scale to pressing questions related to sex health, mental wellbeing and livelihoods. • Scaling chatbot solutions to reach 30 million girls by 2030.

• You are the central point of contact for client advisory, procurement, billing and controlling on all master data matters • You translate client contracts and information from client advisory into correct configurations in DML and Maconomy, and vendor records in SAP/Ariba • You maintain and manage core master data in our media operations system DML • You actively develop master data processes, e.g., clear guidelines, uniform standards and reduction of complexity • You identify automation opportunities and contribute to their implementation • You train internal users and support the development of key-user expertise within the teams • You support finance processes and contribute to data-driven management of the group