Principal Client AI Strategy - AI Storage

Business Area: Corp. Strategy Seniority Level: Director Job Description:   At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Principal - Client AI Strategy & Ecosystem Solutions Job Purpose As the Principal of Client AI Strategy & Ecosystem Solutions, you will sit at the intersection of Go-to-Market (GTM) execution and technical innovation. You will act as the premier strategic advisor to our most critical enterprise clients, architecting and delivering high-impact AI Ecosystem solutions centered on AI Native storage . You will own senior stakeholder relationships, mapping complex enterprise business challenges to cutting-edge agentic architectures. This role is a high-visibility, fast-track leadership opportunity; you will not only design the frameworks that drive client AI transformation at a massive scale, but you will also shape our internal ecosystem strategy, scaling a team and a playbook to define the next era of enterprise automation.

Drive Client AI Strategy & Solutioning: Partner directly with Fortune 500 executives and technical leaders to scope, structure, and design agentic workflow solutions that solve pointed operational bottlenecks and unlock massive business impact Architect Scalable Agentic Workflows: Create clear, repeatable strategic frameworks and technical blueprints that help enterprise clients assess, deploy, and scale multi-agent systems and AI ecosystem integrations Own Cross-Functional Ecosystem Initiatives: Lead initiatives from initial discovery to production-level design, coordinating closely with internal Product, Engineering, and GTM teams to ensure client feedback directly influences the core platform Synthesize Market & Tech Trends: Gather and build a thorough understanding of the rapidly evolving LLM, RAG, and AI agent landscapes to identify emerging threats, partnership ecosystems, and long-term enterprise growth opportunities Build Value Blueprints: Develop structured business cases, ROI models, and data-driven proof-of-concepts (PoCs) to validate strategic hypotheses and justify large-scale enterprise resource allocation.

The Agentic Mindset: Deep, specialized understanding of the AI ecosystem, with hands-on exposure to agentic workflow design, multi-agent frameworks, LLM orchestration, and enterprise integration patterns Elite Stakeholder & GTM Communication: Proven ability to command a room of executive stakeholders by translating granular technical details, prompt design, and data architectures into a compelling, value-driven storyline Structured & Ambiguous Problem Solving: Strong structured thinking with the ability to walk into unstructured client environments, diagnose complex corporate workflows, and build an execution roadmap Entrepreneurial & High-Energy: A curious, self-starting professional who thrives in a "high-growth/start-up paced" ecosystem and is looking to actively step into people and technical leadership roles Preferred Experience 4–7+ years of professional experience split between tier-one Technology/Management Consulting (e.g., Big 4) and a highly technical, customer-facing Sales Engineering / Solution Architecture / GTM Strategy role at a cutting-edge AI or SaaS enterprise platform. Proven track record of deploying complex data analytics, cloud, or AI initiatives for large-scale enterprise clients Direct experience with multi-agent orchestration frameworks and modern SaaS GTM strategies Bachelor’s degree in Data Analytics, Business Administration, Computer Science, or a related field; MBA or advanced technical degree is a plus What you can expect from us: Generous PTO Policy