Principal Client AI Strategy - AI Storage

Cloudera; Austin (TX); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Generous PTO Policy

Flexible WFH Policy

Mental & Physical Wellness programs

Phone and Internet Reimbursement

Job summary

Cloudera is seeking a Principal for Client AI Strategy & Ecosystem Solutions to lead Go-to-Market execution and technical innovation with enterprise clients. You will architect agentic workflows, manage senior stakeholder relationships, and shape internal ecosystem strategy to scale a playbook for enterprise automation.

Ideal candidates bring 4–7+ years across top technology consulting and technical GTM/Solution Architecture roles, with strong collaboration across Product, Engineering, and GTM

Qualifications

• 4–7+ years of experience split between tier-one Technology/Management Consulting and a highly technical, customer-facing GTM/Solution Architecture role in AI or SaaS.
• Bachelor's degree in Data Analytics, Business Administration, Computer Science, or related field; MBA or advanced technical degree is a plus.

Responsibilities

• Drive Client AI Strategy & Solutioning with Fortune 500 executives and technical leaders.
• Architect scalable agentic workflows and multi-agent system blueprints for enterprise adoption.
• Own cross-functional ecosystem initiatives with Product, Engineering, and GTM teams.
• Synthesize market and tech trends in LLM, RAG, and AI agent landscapes for growth opportunities.
• Build value blueprints with ROI models and PoCs to justify enterprise resource allocation.

Skills

Agentic mindset

Executive stakeholder mgmt

Structured problem solving

Entrepreneurial mindset

Education

Bachelor's degree in Data Analytics, Business Administration, Computer Science

MBA or advanced technical degree

Job description

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.

Key Responsibilities

• 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

Preferred Qualifications

• 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
• Support work life balance with Unplugged Days
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement programAccess to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups

EEO/VEVRAA If you need assistance with applying for a position, please email our office at [e-mail].