Principal Client AI Strategy - AI Storage
Read straight from Cloudera's careers page, verified 3d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationUSA > Texas > Austin
Work moderemote · United States
Typefull-time
SeniorityDirector
Experience4–7 yrs
DepartmentCorp. Strategy
Company size1,001–5,000 people
PostedOct 1, 2026 · 1mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
MBA or advanced technical degree is a plus
EEO/VEVRAA
Skills
AI
LLM
RAG
multi-agent systems
SaaS
Benefits
Generous PTO policy
Flexible wfh
Mental wellness
Physical wellness
Phone reimbursement
Internet reimbursement
Career development
Comprehensive benefits
Paid volunteer time
Employee resource groups
Business Area:
Corp. Strategy
Seniority Level:
Director
Job Description:
About the company
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 program
•
Access to Continued Career Development
•
Comprehensive Benefits and Competitive Packages
•
Paid Volunteer Time
•
Employee Resource Groups
Legal
EEO/VEVRAA