Principal Client AI Strategy - AI Storage

Posted Yesterday
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Austin, TX, USA
In-Office
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Shape the Global Future of Enterprise AI Come build the future of enterprise AI with a global team that puts its people
The Role
Leads AI strategy and ecosystem solutions for Fortune 500 clients, designing agentic workflows, multi-agent architectures, and AI-native storage solutions. Partners with executives and internal Product, Engineering, and GTM teams to translate business challenges into scalable technical blueprints. Evaluates LLM, RAG, and AI agent trends, develops ROI models and proof-of-concepts, and shapes enterprise platform strategy while building repeatable solutions and team capabilities.
Summary Generated by Built In

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 SolutionsJob 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

EEO/VEVRAA

Skills Required

  • Deep understanding of the AI ecosystem, including agentic workflow design, multi-agent frameworks, LLM orchestration, and enterprise integration patterns
  • Proven ability to communicate technical concepts, prompt design, and data architectures to executive stakeholders
  • Strong structured problem-solving skills in ambiguous client environments
  • Entrepreneurial, self-starting approach with interest in people and technical leadership
  • 4–7+ years of professional experience spanning technology or management consulting and technical customer-facing sales engineering, solution architecture, or GTM strategy
  • Experience deploying complex data analytics, cloud, or AI initiatives for large 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

Cloudera Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.

  • Fair & Transparent Compensation Pay practices are presented as equity-audited with a recognized Fair Pay Workplace certification and ongoing internal reviews. Compensation is often characterized as competitive for similar-sized peers, with visible market-aligned ranges for key roles.
  • Healthcare Strength Benefit descriptions emphasize comprehensive medical, dental, and vision coverage, alongside life and disability insurance, an EAP, wellness programming, and U.S. gym reimbursement. Health coverage is described as strong in practice.
  • Leave & Time Off Breadth Policies include generous PTO and holidays plus recurring companywide Unplugged Days that create extended weekends. Parental and medical leave are also highlighted as part of the core package.

Cloudera Insights

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The Company
HQ: Santa Clara, CA
3,092 Employees
Year Founded: 2008

What We Do

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.

Why Work With Us

Impact at Scale: The infrastructure we build solves massive problems for top global banks, telecommunications giants, and healthcare providers. Cutting-Edge Tech: Work directly at the intersection of Open Source, Machine Learning, and Generative AI. Unmatched Flexibility: Enjoy a remote-friendly, hybrid culture that respects your time—including

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