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Vast Data Jobs (NOW HIRING)

Description VAST Data is looking to hire a Sales Executive for our Analytics & AI team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

VAST Data is looking to hire a Sales Executive for our Analytics & AI team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization ...

VAST Data is looking to hire a Sales Executive for our Analytics & AI team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization ...

VAST Data is looking to hire a Sales Executive for our Analytics & AI team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization ...

Description VAST Data is looking for an Account Executive to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

Description VAST Data is looking for an Account Executive to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

Description VAST Data is looking for an Account Executive to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

Description VAST Data is looking to hire a Sales Executive for our Analytics & AI team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

VAST Data is looking for a District Manager, Financial Services to join our growing team! VAST Data is the AI Operating System for the modern enterprise, bringing together storage, database ...

Description VAST Data is looking for an Associate Systems Engineer - Global Financials to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure ...

Description VAST Data is looking to hire a Director for GSI & OEM! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in ...

Description About VAST Data VAST Data is revolutionizing the data infrastructure landscape with its innovative approach to data platforms, AI acceleration, and storage architecture. Our mission is to ...

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Vast Data information

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How much do vast data jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for vast data in the United States is $32.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $39.42 per hour, depending on experience, location, and employer.

What is a Vast Data engineer?

A Vast Data engineer is a professional who specializes in designing, implementing, and maintaining data storage solutions using Vast Data's platform. Vast Data is a company known for its high-performance, scalable storage systems that leverage technologies like NVMe and advanced data reduction. Engineers in this field focus on optimizing storage infrastructure for speed, reliability, and efficiency, often supporting big data, AI, and machine learning workloads. Their responsibilities include configuring storage systems, ensuring data integrity, and troubleshooting performance issues.

What are the key skills and qualifications needed to thrive as a Vast Data engineer?

To thrive as a Vast Data Engineer, you need expertise in data storage architectures, cloud technologies, and distributed systems, often supported by a degree in computer science or related field. Familiarity with Vast Data's Universal Storage platform, proficiency in scripting languages like Python or Bash, and experience with tools such as Kubernetes and Linux are typically required. Strong problem-solving skills, teamwork, and effective communication help in troubleshooting and collaborating with cross-functional teams. These abilities ensure robust storage solutions, seamless system integration, and reliable data management in high-performance environments.

What are common challenges faced by engineers working with Vast Data solutions, and how can they be addressed?

Engineers working with VAST Data solutions often encounter challenges related to managing large-scale unstructured data and ensuring optimal performance in complex environments. Addressing these challenges typically involves staying up to date with evolving storage architectures, collaborating closely with IT and DevOps teams, and proactively monitoring system health. VAST Data engineers usually benefit from regular training on new features, participating in troubleshooting sessions, and leveraging peer support within cross-functional teams to resolve issues efficiently.

What is the difference between Vast Data vs Data Engineer?

AspectVast DataData Engineer
Required CredentialsBachelor's in Computer Science or related, familiarity with storage and data managementBachelor's or higher in Computer Science, Engineering, or related, often with certifications in data tools
Work EnvironmentData storage and infrastructure environments, often in data centers or cloudData pipelines, ETL processes, cloud or on-premises environments
Employer & Industry UsageTech companies, data storage providers, cloud servicesAny industry with large data needs: finance, tech, healthcare, etc.
Common Search & ComparisonYesYes

Vast Data professionals focus on data storage solutions, infrastructure, and management, often working with storage hardware and cloud platforms. Data Engineers design, build, and maintain data pipelines and architectures. While both roles work with data, Vast Data roles are more hardware and storage-oriented, whereas Data Engineers focus on data processing and integration.

More about Vast Data jobs

What cities are hiring for Vast Data jobs?

Cities with the most Vast Data job openings:

What states have the most Vast Data jobs?

States with the most job openings for Vast Data jobs include:

Infographic showing various Vast Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

Sales Executive - Analytics & AI

VAST Data

Boston, MA • On-site

Full-time

Re-posted 13 days ago


Job description

Description
VAST Data is looking to hire a Sales Executive for our Analytics & AI team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Overview:
We are seeking an experienced sales executive with a minimum of 10 years sales experience, particularly within the data analytics industry. The ideal candidate will be responsible for driving sales of VAST Data's groundbreaking data platform product. This role requires exceptional evangelism skills, deep understanding of the database industry landscape, and a proven track record of exceeding sales targets.
Responsibilities:
  • Develop and execute strategic sales plans to achieve sales targets and expand VAST Data's customer base.
  • Identify and pursue new business opportunities through proactive prospecting, networking, and relationship building.
  • Cultivate and maintain strong relationships with key decision-makers, influencers, and stakeholders within target accounts.
  • Conduct in-depth product demonstrations and presentations to showcase the value proposition of VAST Data's innovative data platform.
  • Collaborate closely with cross-functional teams including marketing, product management, and customer success to ensure seamless execution of sales strategies and alignment with company objectives.
  • Stay abreast of industry trends, competitive landscape, and customer needs to effectively position VAST Data's solutions in the market.
  • Negotiate contracts and close deals while adhering to company policies and procedures.
  • Provide timely and accurate sales forecasts, pipeline updates, and activity reports to management.
  • Serve as a brand ambassador for VAST Data, representing the company with professionalism and integrity at industry events, conferences, and customer meetings.
  • Continuously strive for personal and professional growth through ongoing learning and development initiatives.

Requirements
  • Bachelor's degree in Business, Computer Science, Engineering, or related field (MBA preferred).
  • 10+ years of enterprise B2B sales experience with a strong track record selling analytics, database, AI, or infrastructure platforms.
  • Strong technical understanding of modern data and AI architectures, including distributed databases, data lakes/lakehouses, AI/ML pipelines, Kubernetes, cloud infrastructure, and high-performance storage.
  • Familiarity with modern analytics and AI ecosystems such as Snowflake, Databricks, Confluent, ClickHouse, Elastic, MongoDB, Redis, Spark, Iceberg, or similar technologies.
  • Ability to engage credibly with CIOs, CTOs, Chief Data Officers, platform architects, and data engineering teams on both business and technical value.
  • Proven success navigating complex enterprise sales cycles with multiple technical and executive stakeholders.
  • Strong consultative selling, evangelism, presentation, and negotiation skills.
  • Experience with AI, analytics modernization, or large-scale data transformation initiatives preferred.
  • Highly motivated self-starter who thrives in fast-paced, high-growth environments.
  • Proficiency with Salesforce and modern sales productivity tools.
  • Willingness to travel as needed.