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Executive Data Crowd Compute Jobs (NOW HIRING)

HP

Advanced Compute Executive Assistant

Spring, TX · On-site

$32 - $49/hr

Advanced Compute Executive Assistant This role is responsible for providing basic tactical and ... Accounting, Administrative Support, Billing, Booking (Sales), Calendar Management, Customer Data ...

Hp

Advanced Compute Executive Assistant

Spring, TX · On-site

$32 - $49/hr

Advanced Compute Executive Assistant Description - Job Summary This role is responsible for ... Data Management Data Entry Expense Reports Finance Front Office Invoicing Marketing Microsoft ...

EdgeUno

Managing Director, EdgeUno Compute

Miami, FL · On-site

... data centers, bare metal, GPU infrastructure, and cloud solutions to ISPs, hyperscalers, content ... This role combines executive leadership, operational discipline, commercial strategy, and ...

Anthropic

Finance & Strategy, Compute

San Francisco, CA · On-site

$100K - $125K/yr

... data partnerships. This role sits at the center: owning the consolidation, the operating cadence, the cost allocation methodology, and the executive-facing narrative that ties them together. You will ...

Edgeuno

Managing Director, EdgeUno Compute

Miami, FL · On-site

... data centers, bare metal, GPU infrastructure, and cloud solutions to ISPs, hyperscalers, content ... This role combines executive leadership, operational discipline, commercial strategy, and ...

Anthropic

Finance & Strategy, Compute

San Francisco, CA · On-site

$190K - $235K/yr

... data partnerships. This role sits at the center: owning the consolidation, the operating cadence, the cost allocation methodology, and the executive-facing narrative that ties them together. You will ...

Marvell

Executive Assistant

Santa Clara, CA · On-site

At the same time, the amount of data moving between compute and memory is increasing dramatically ... executive administrators • Manage executive calendars • Coordinate and book domestic and ...

Nvidia

OR · On-site

$108K - $147K/yr

... data centers. Join the team building many of the largest and fastest AI Compute systems in the ... Ways to stand out from crowd: * InfiniBand experience. * Experience with GPU (Graphics Processing ...

Nvidia

Senior AI Compute Engineer - NVIS

Santa Clara, CA · On-site

$127K - $173K/yr

... data centers. Join the team building many of the largest and fastest AI Compute systems in the ... Ways to stand out from crowd: * InfiniBand experience. * Experience with GPU (Graphics Processing ...

Data Direct Networks

Companies are rethinking the infrastructure, storage, compute, networking, and data platforms ... Build relationships with executive buyers and technical influencers * Partner closely with ...

Marvell

Executive Assistant

Santa Clara, CA · On-site

At the same time, the amount of data moving between compute and memory is increasing dramatically ... other executive administrators Manage executive calendars Coordinate and book domestic and ...

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All JobsExecutive Data Crowd Compute Jobs

Executive Data Crowd Compute information

See salary details

$26.5K

$93.6K

$184K

How much do executive data crowd compute jobs pay per year?

As of Jun 6, 2026, the average yearly pay for executive data crowd compute in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Data Crowd Compute vs Data Analyst?

AspectExecutive Data Crowd ComputeData Analyst
CredentialsTypically requires experience with data crowdsourcing platforms, data management, and sometimes certifications in data science or analyticsBachelor's degree in data science, statistics, or related fields; often includes certifications in data analysis tools
Work EnvironmentCollaborative, often remote, involving managing crowdsourced data projects and coordinating with multiple stakeholders
Industry UsageUsed in industries leveraging crowdsourced data collection and processing, such as market research, AI training, and data labeling
Search & Comparison IntentOften compared for roles involving managing or overseeing crowdsourced data projects

Executive Data Crowd Compute focuses on managing and coordinating crowdsourced data projects, often requiring experience with data platforms and project management. Data Analysts primarily analyze data sets to generate insights, requiring strong analytical skills and relevant certifications. While both roles work with data, Executive Data Crowd Compute emphasizes project oversight and crowdsourcing, whereas Data Analysts focus on data interpretation and reporting.

More about Executive Data Crowd Compute jobs
What cities are hiring for Executive Data Crowd Compute jobs? Cities with the most Executive Data Crowd Compute job openings:
What are the most commonly searched types of Data Crowd Compute jobs? The most popular types of Data Crowd Compute jobs are:
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Executive Data Crowd Compute jobs near you
Infographic showing various Executive Data Crowd Compute job openings in the United States as of May 2026, with employment types broken down into 41% Full Time, 5% Part Time, and 54% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Enterprise Account Executive - AI Compute

4 Staffing Corp

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the job Enterprise Account Executive - AI Compute
Enterprise Account Executive - AI Compute
Location: San Francisco, CA - Bay Area
Type: Full-Time, Net-New Sales
Role Overview
Our client is an emerging infrastructure company at the forefront of next-generation AI compute. As a Enterprise Account Executive, you will be responsible for opening new accounts and positioning a highly differentiated compute platform as a compelling alternative for organizations running large-scale AI workloads.
This is a true hunter role focused on net-new logo acquisition engaging technical and executive stakeholders to deliver meaningful improvements in performance efficiency and total cost of ownership.
Key Responsibilities

  • Land Strategic Accounts: Identify and close high-value customers operating large-scale AI and data-intensive workloads where performance and cost efficiency are critical.
  • Drive Competitive Displacement: Leverage a value-based sales approach to position a next-generation compute platform against incumbent solutions.
  • Lead Technical Sales Cycles: Partner closely with internal engineering and solutions teams to validate performance benchmarks and business impact.
  • Build the GTM Motion: As an early commercial hire, help define ideal customer profiles, messaging, and outbound strategies to scale future growth.
What You're Selling
  • Seamless Adoption: Platform designed for minimal friction when deploying existing AI models and workloads.
  • Optimized for Scale: Architecture purpose-built to support large, complex AI use cases with improved efficiency.
  • Cost & Performance Advantage: Enables customers to significantly reduce infrastructure costs while improving throughput and latency.
  • Secure Supply Chain: Designed with an emphasis on reliability and infrastructure independence.
Requirements
  • 7+ Years of Enterprise Sales Experience: Proven success closing $1M+ deals in infrastructure, cloud, semiconductors, or high-performance computing environments.
  • Technical Fluency in AI/ML: Ability to engage with technical stakeholders on model performance, inference workloads, and compute tradeoffs.
  • Entrepreneurial Mindset: Comfortable operating in an early-stage environment with ambiguity and high ownership.
  • Strong Network: Existing relationships within cloud providers, financial services, or AI-focused organizations are highly desirable.
Why Join?
  • Opportunity to join a well-capitalized, high-growth company at an inflection point in the AI infrastructure market.
  • Early role in building the enterprise sales function with significant influence on go-to-market strategy.
  • Backed by leading institutional and strategic investors.

Apply