
Job Overview
Location
Spain-Madrid-Remote
Job Type
Full-time
Category
Product Management
Date Posted
June 23, 2026
Full Job Description
đź“‹ Description
- • Drive ARR growth by embedding quantified, forward-looking value narratives into deal strategy, linking AI platform architectures and emerging AI operating models to revenue uplift, cost optimisation, and risk reduction.
- • Build and present CFO-grade business cases using TCO, ROI, NPV, and IRR models, incorporating evolving cost dynamics such as inference workloads, utilisation patterns, and long-term AI operating economics.
- • Align solution design with commercial objectives by partnering with Sales, Solutions Engineering, and Product teams to ensure architectures are optimised for performance, scalability, and durable economic efficiency in AI-driven environments.
- • Engage C-suite stakeholders including CIOs, CFOs, and CDOs to shape enterprise AI and data strategies, positioning Cloudera within broader shifts toward platform consolidation, hybrid architectures, and AI-enabled business models.
- • Lead value discovery engagements to map current-state environments to future-state AI-native architectures, explicitly quantifying value drivers, investment trade-offs, and execution pathways.
- • Leverage AI tools and automation—including LLMs and agentic workflows—to scale analysis, accelerate insight generation, and industrialise repeatable assets such as TCO models and scenario simulators.
- • Support complex, multi-year enterprise deal cycles through commercial structuring, scenario modelling, and competitive positioning against cloud-native and emerging AI platform alternatives.
- • Represent Cloudera in executive forums, articulating perspectives on enterprise AI economics, architectural trade-offs, and the long-term implications of AI adoption on cost structures and operating models.
- • Operate independently in ambiguous, high-growth environments with a high ownership mindset, driving outcomes without direct oversight.
- • Work closely with Sales teams on complex, high-value enterprise deals to influence deal strategy, positioning, and commercial outcomes.
- • Distil complex technical and financial concepts into clear, actionable insights for non-technical executive audiences.
🎯 Requirements
- • 5–7+ years in strategy consulting, value engineering, or equivalent customer-facing roles
- • Strong commercial and financial acumen, including advanced financial modelling (DCF, NPV, IRR) and the ability to link technology decisions to P&L, balance sheet, and cash flow outcomes
- • Demonstrated ability to influence enterprise deal cycles, including shaping deal strategy, positioning, and commercial outcomes
- • Solid understanding of modern data platforms, distributed systems, and AI/ML workloads, including data pipelines, model deployment, and infrastructure trade-offs
- • Ability to quantitatively reason about evolving cost drivers in AI and data environments, including compute, storage, and workload patterns
- • Hands-on experience using AI tools (e.g., LLMs, automation frameworks) to support analysis, modelling, and content generation
🏖️ Benefits
- • Generous PTO Policy
- • Support work life balance with Unplugged Days
- • Flexible WFH Policy
- • Mental & Physical Wellness programs
- • Phone and Internet Reimbursement program
- • Access to Continued Career Development
Skills & Technologies
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About Cloudera, Inc.
Cloudera, Inc. provides an enterprise data cloud platform for analytics and machine learning. Its software combines data engineering, data warehousing, and AI workloads on hybrid and multi-cloud environments. Built around open-source technologies like Apache Hadoop, Spark, and Kafka, it offers unified security, governance, and metadata management. Customers use Cloudera Data Platform to ingest, store, analyze, and model large-scale data for business intelligence and real-time insights. The company serves financial services, healthcare, telecommunications, and public sector organizations worldwide.
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