Cloudera

Manager, Applied AI Strategy and Operations

Cloudera$144K — $180K *
US-Anywhere
+ 48 other locationsRemote
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in sales strategy or management consulting with a focus on revenue operations and cross-functional alignment.
  • Strong analytical skills with expertise in CRM systems and data interpretation to support AI adoption strategies.
  • Proven communication skills, capable of presenting insights to C-suite executives and sales leaders effectively.
  • Deep understanding of enterprise data management and AI ecosystem, including big data and hybrid cloud infrastructures.
  • Strong quantitative and data manipulation capabilities, with knowledge of business intelligence tools like Tableau and SQL.
  • Ability to thrive in fast-paced environments by independently building processes and governance frameworks.

Responsibilities

  • Drive global governance and manage the operational rhythms for the Applied AI organization across multiple regions.
  • Optimize customer progression through the AI adoption funnel stages, collaborating with regional leadership.
  • Structure analytical frameworks to prioritize high-impact AI use cases based on customer insights.
  • Define key performance indicators in collaboration with revenue operations to measure AI adoption success.
  • Analyze go-to-market strategies with ecosystem partners to ensure profitable revenue growth.
  • Act as a thought partner to technical and commercial leaders, creating scalable tracking processes for project delivery.
  • Support business planning and executive storytelling with in-depth segment analysis and strategic cases.

Benefits

  • Generous PTO policy.
  • Flexible work-from-home policy to support work-life balance.
  • Mental and physical wellness programs available.
  • Reimbursement for phone and internet costs.
  • Continuous career development opportunities.
  • Comprehensive benefits package including competitive compensation.
  • Access to Employee Resource Groups.
Full Job Description

Business Area:

Corp. Strategy

Seniority Level:

Mid-Senior level

Job Description:

Job title: Manager, Applied AI Strategy and Operations

Job Purpose:

As a Manager, Applied AI Strategy and Operations within the Chief Business Officer and GM, Applied AIs organization, you will lead high-impact, global commercial and operational initiatives with a direct emphasis on accelerating Cloudera's Private AI growth.

Our Applied AI organization is a fast-moving, dedicated group of Forward Deployed Engineers (FDEs), Industry & Applied AI Specialists, and business strategy leaders committed to establishing Cloudera as the trusted standard for Private AI in the enterprise. In this high-autonomy, high-trust role, you will act as the strategic and analytical backbone behind our field engineering motions. You will prioritize the right initiatives across our strategic accounts, establish robust governance and operating rhythms, conduct deep-dive portfolio and sales pipeline analyses, and synthesize complex technical and commercial signals into actionable recommendations for Cloudera's senior leadership.

Key responsibilities:
  • Drive Global Governance & Operating Rhythms: Establish, evolve, and manage the programmatic operating rhythm for the global Applied AI organization across AMER, EMEA, and APAC. Lead the monthly business review (MBR) processfrom metric gathering and CRM ingestion through deep quantitative analysis and executive synthesis for senior leadership.

  • Manage the AI Adoption Funnel: Partner with regional FDE and Applied AI Specialist leadership to track, analyze, and optimize customer progression through our four core execution stages: Discovery & Strategy, Solution & Value, Pilot & Prove, and Production & Scale.

  • Account Prioritization & Use Case Frameworks: Structure analytical frameworks grounded in real customer signaljoining technical discovery sessions, reviewing triage outcomes, and working directly with field engineering teams to filter and isolate high-ROI Private AI workloads. Conduct rigorous analyses to down-select and prioritize target accounts across our Top 100 strategic enterprise lists.

  • Define & Standardize Strategic Metrics: Collaborate with central Revenue Operations and AI GTM Sales Strategy to define, refine, and standardize key performance indicators around subscription and consumption-based Private AI adoption. Track organizational progress against critical milestones, including customer pitch meetings, on-site Use Case Workshops, Applied AI Hands-on Labs, and deployed production solutions.

  • Ecosystem & Commercial Strategy: Analyze and support go-to-market operational alignment with major AI infrastructure and ecosystem partners (including NVIDIA Blueprints and VAST). Evaluate revenue share models, joint sales plays, and co-deployment strategies to maximize platform pull-through and annual recurring revenue (ARR) expansion.

  • Cross-Functional Leadership & Solution Productization: Act as an embedded, highly trusted thought partner to technical and commercial leaders. Design and implement scalable processes for tracking team allocations and solution productization, ensuring repeatable delivery patterns are codified and communicated across Account Executives, Solution Engineers, and Professional Services globally.

  • Business Planning & Executive Storytelling: Build comprehensive segment analyses, growth models, and strategic business cases to support critical investment decisions, headcount planning, and resource allocation across regional pods.

Preferred Qualifications:
  • Strong problem-solving and structuring skills, with a proven ability to scope complex, ambiguous strategic challenges and identify root causes within technical go-to-market organizations.

  • Highly analytical and excellent at leveraging facts, CRM data, and customer insights to generate and validate strategic hypotheses regarding enterprise AI adoption and workload consumption.

  • Proven ability to communicate and build trust with stakeholders at all levelsincluding C-suite executives, technical engineering leaders, and regional sales VPsby turning granular data and research into actionable insight and a well-structured executive storyline.

  • Deep familiarity with enterprise data management platforms, hybrid cloud architectures, data lakehouses (e.g., Apache Iceberg), and the broader AI/ML ecosystem capabilities.

  • Strong quantitative, financial modeling, and data manipulation skills; proficiency in GTM systems (e.g., Salesforce, Clari), business intelligence tools (e.g., Tableau, Power BI), and SQL is a strong plus.

  • Demonstrated capacity to operate with high autonomy in dynamic, fast-moving environments, building structure and operational rigor from the ground up rather than inheriting legacy processes.

Preferred Experience:
  • 6+ years of progressive work experience in sales strategy, revenue operations, business operations, or management consulting, with a demonstrated track record of driving cross-functional alignment and measurable business impact.

  • Direct experience supporting specialized technical sales, pre-sales, or post-sales delivery teamsparticularly within Forward Deployed Engineering (FDE), Solution Architecture, or Applied AI Specialist organizations.

  • Deep domain experience in enterprise software, big data analytics, machine learning/AI, or hybrid cloud infrastructure companies.

  • Proven expertise working with cloud subscription, consumption-based (usage-driven), or product-led growth (PLG) business models, specifically tracking workload transition from pilot to production scale.

  • Experience supporting enterprise commercial or technical organizations through rapid 2x+ revenue growth periods and global expansion across AMER, EMEA, and APAC regions.

  • Note: Candidates without direct commercial ownership experience will still be strongly considered if they demonstrate long, deep tenure supporting commercial or technical sales leaders in a closely comparable enterprise GTM model.

  • The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you apply!

  • This role is not eligible for immigration sponsorship.

The anticipated annual base salary range for this position is:

  • Washington: $144,000 - $180,000

  • New York: $144,000 - $180,000

  • California: $144,000 - $180,000

Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Employee Resource Groups

About Cloudera

Cloudera is a software company that provides a unified platform for data management and analytics. The company's platform enables organizations to store, process, and analyze large amounts of data in a variety of formats, including structured, semi-structured, and unstructured data. Cloudera's platform is used by some of the world's largest and most innovative organizations, including Airbus, Credit Suisse, and Expedia. The company was founded in 2008 and is headquartered in Palo Alto, California.
Learn more about Cloudera
Size
2,728 employees
Market Cap
$4.6 billion
Industry
Net Income
-$162.7 million
Founded
2008
5 Year Trend
+39.2%
Revenue
$869.2 million
NASDAQ

Similar Jobs

More Jobs at Cloudera

More Enterprise Technology Jobs

Find similar Manager, Applied AI Strategy and Operations jobs: