Cloudera

13 hours ago

Manager, Applied AI Strategy and Operations

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Lead global governance and operating rhythms for Cloudera’s Applied AI organization, including monthly business reviews, CRM ingestion, and executive synthesis across AMER, EMEA, and APAC. Manage the AI adoption funnel from discovery through production scale, prioritize high-ROI private AI workloads, and define standardized metrics with Revenue Ops and AI GTM strategy. Analyze ecosystem strategy with partners (e.g., NVIDIA) and build executive-ready business cases to accelerate Private AI growth.

Location: Washington

Workplace: Remote

Employment Type: Full time

Job Function: Strategy & Corporate Development

Seniority: Manager level

Key Responsibilities

•Establish and manage global Applied AI governance and operating rhythms, including monthly business reviews with CRM ingestion and executive synthesis for senior leadership.
•Track and optimize the AI adoption funnel across Discovery & Strategy, Solution & Value, Pilot & Prove, and Production & Scale in partnership with regional leaders.
•Build account prioritization and use case frameworks to filter and isolate high-ROI private AI workloads across top strategic enterprise lists.
•Define and standardize strategic metrics for subscription and consumption-based private AI adoption, tracking milestones for workshops, hands-on labs, and deployed solutions.
•Analyze ecosystem and commercial strategy with partners (including NVIDIA Blueprints and VAST), support GTM operational alignment, and build business cases for investment and resource planning.

Pay and Benefits

Salary: USD 144,000 - 180,000 annually

Perks:Paid LeaveRemote WorkWellness StipendHome Office

Key Requirements

•6+ years of progressive experience in sales strategy, revenue operations, business operations, or management consulting, driving cross-functional alignment and measurable impact.
•Highly analytical ability to use CRM data and customer insights to generate and validate strategic hypotheses about enterprise AI adoption and workload consumption.
•Strong problem-solving and structuring skills to scope ambiguous strategic challenges and identify root causes within technical go-to-market organizations.
•Proficiency with GTM systems (e.g., Salesforce, Clari), business intelligence tools (e.g., Tableau, Power BI), and SQL (strong plus).
•Deep familiarity with enterprise data management platforms, hybrid cloud architectures, and data lakehouses (e.g., Apache Iceberg) plus the broader AI/ML ecosystem.

Experience:Enterprise softwareBig data analyticsAI/MLHybrid cloud

Skills:Problem-solvingAnalytical thinkingCommunicationStakeholder managementAutonomy

Tech Stack:SalesforceClariTableauPower BISQLApache IcebergCRM

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Cloudera

Provides a hybrid data platform for managing, analyzing, and securing enterprise data across cloud and on-premises environments, enabling machine learning, analytics, and data engineering at scale.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 2008

Glassdoor: 3.8

Website LinkedIn

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Cloudera

13 hours ago

Manager, Applied AI Strategy and Operations

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Washington

Workplace: Remote

Employment Type: Full time

Job Function: Strategy & Corporate Development

Seniority: Manager level

Key Responsibilities

•Establish and manage global Applied AI governance and operating rhythms, including monthly business reviews with CRM ingestion and executive synthesis for senior leadership.
•Track and optimize the AI adoption funnel across Discovery & Strategy, Solution & Value, Pilot & Prove, and Production & Scale in partnership with regional leaders.
•Build account prioritization and use case frameworks to filter and isolate high-ROI private AI workloads across top strategic enterprise lists.
•Define and standardize strategic metrics for subscription and consumption-based private AI adoption, tracking milestones for workshops, hands-on labs, and deployed solutions.
•Analyze ecosystem and commercial strategy with partners (including NVIDIA Blueprints and VAST), support GTM operational alignment, and build business cases for investment and resource planning.

Pay and Benefits

Salary: USD 144,000 - 180,000 annually

Perks:Paid LeaveRemote WorkWellness StipendHome Office

Key Requirements

•6+ years of progressive experience in sales strategy, revenue operations, business operations, or management consulting, driving cross-functional alignment and measurable impact.
•Highly analytical ability to use CRM data and customer insights to generate and validate strategic hypotheses about enterprise AI adoption and workload consumption.
•Strong problem-solving and structuring skills to scope ambiguous strategic challenges and identify root causes within technical go-to-market organizations.
•Proficiency with GTM systems (e.g., Salesforce, Clari), business intelligence tools (e.g., Tableau, Power BI), and SQL (strong plus).
•Deep familiarity with enterprise data management platforms, hybrid cloud architectures, and data lakehouses (e.g., Apache Iceberg) plus the broader AI/ML ecosystem.

Experience:Enterprise softwareBig data analyticsAI/MLHybrid cloud

Skills:Problem-solvingAnalytical thinkingCommunicationStakeholder managementAutonomy

Tech Stack:SalesforceClariTableauPower BISQLApache IcebergCRM

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Cloudera

Provides a hybrid data platform for managing, analyzing, and securing enterprise data across cloud and on-premises environments, enabling machine learning, analytics, and data engineering at scale.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 2008

Glassdoor: 3.8

Website LinkedIn