Full-Time

Key Account Director

Media & Entertainment

Cloudera

Cloudera

1,001-5,000 employees

Hybrid data platform for analytics

Compensation Overview

$300k - $350k/yr

+ Commission

No H1B Sponsorship

Washington, USA + 4 more

More locations: California, USA | Texas, USA | Florida, USA | Arizona, USA

Remote

Domestic and international travel is required.

Bachelor's

Category
Sales & Account Management (1)
Required Skills
Kubernetes
Sales
Docker

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Requirements
  • A minimum of 10+ years of exceeding enterprise software sales targets across multiple business units.
  • Experience in fast-moving startup environments and use-case-driven sales.
  • Multiple Sales Club or Circle of Excellence awards.
  • Experience with data management and data warehousing.
  • Experience with containers, Kubernetes, data infrastructure, public cloud infrastructure technology, NVIDIA, and general artificial intelligence capabilities.
  • A four-year Bachelor's degree from an accredited university.
  • Ability to travel domestically and internationally.
  • Experience selling to the media and entertainment industry.
  • The role is not eligible for immigration sponsorship.
Responsibilities
  • Own Media and Entertainment enterprise account relationships.
  • Drive net new revenue in the territory and overall customer success through value-based business cases.
  • Influence decision-makers and C-level executives by developing relationships with executive sponsors, decision-makers, influencers, and partners, while orchestrating the account team to achieve long-term customer success.
  • Introduce domain product and service experts while maintaining account oversight.
  • Lead large-scale competitive projects and close large-scale deals.
  • Build pipeline, forecast the business, lead the internal team, and communicate key updates.
  • Exceed quarterly and annual goals for new software subscriptions, professional services, and training.

Cloudera provides a data management and analytics platform for large organizations. Its core product, the Cloudera Data Platform (CDP), is a hybrid data platform that lets companies store, manage, and analyze data across on‑premises, cloud, and edge environments. Users subscribe to software and also access professional services and support to implement and optimize their data solutions. The platform processes big data to deliver insights, enabling digital transformation and competitive differentiation for industries like finance, healthcare, telecommunications, and retail. Cloudera differentiates itself with a unified, multi-environment data platform designed for large enterprises, combined with services to help customers deploy, optimize, and scale their data workloads. The company’s goal is to turn vast data into actionable insights that inform business decisions and drive innovation.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

2008

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Simplify Jobs

Simplify's Take

What believers are saying

  • Cloudera launched Anywhere Cloud on August 19, 2026 for agentic AI across estates.
  • NVIDIA GPU acceleration for Spark 4.1 promises up to 4x faster pipelines.
  • Forrester named Cloudera a Leader in Data Lakehouses, Q3 2026.

What critics are saying

  • DOJ sued Cloudera April 2026 over alleged U.S. worker hiring discrimination.
  • Private-equity ownership pressures margins; May 2026 layoffs signal relentless cost-cutting.
  • Snowflake, Databricks, and hyperscalers can commoditize hybrid analytics and squeeze renewals.

What makes Cloudera unique

  • Cloudera spans public, private, sovereign, and edge environments through one control plane.
  • Taikun, acquired August 2025, strengthens Kubernetes-native hybrid deployment and operations.
  • Apache Iceberg, Polaris, and zero-copy connectors keep Cloudera aligned with open standards.

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Benefits

Unlimited Paid Time Off

Flexible Work Hours

Remote Work Options

Mental Health Support

Phone/Internet Stipend

Professional Development Budget

Paid Volunteer Time

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-1%
Cloudera
Aug 31st, 2026
Three events, one partner story: how Cloudera is turning AI ambition into action.

Three events, one partner story: how Cloudera is turning AI ambition into action. Throughout the first half of 2026, Cloudera was proud to join key partners at three of the enterprise technology industry's biggest events: ServiceNow Knowledge26, Dell Technologies World, and Snowflake Summit. Across each stop, Cloudera showed what it takes to move AI from ambition to action. At Knowledge26, the focus was on activating workflows with trusted enterprise data. At Dell Technologies World, it was the infrastructure needed to move AI from prototype to production. And at Snowflake Summit, it was open, governed data access across the modern data lakehouse. The throughline: partner ecosystems are how customers get the most value from the data spread across the cloud, data centers, and the edge. Here's a closer look at how that played out at each event. ServiceNow Knowledge26 - may 5-7. At Knowledge26, Cloudera launched the Workflow Data Fabric Zero Copy Connector for ServiceNow, connecting the hybrid data lakehouse directly to intelligent workflows and putting data to work in AI-driven processes without the cost, complexity, and risk of duplicating it. That capability matters more by the day. As AI agents move from pilot programs into production, enterprises need visibility into what those agents do and confidence that their decisions rest on trusted, governed data. Moving or copying sensitive information to get there only adds security and scalability risks. Greg Bleers of Cloudera and Anu Mohan of ServiceNow demonstrated how zero-copy access links enterprise data to AI agents and workflows without moving or duplicating the data. Jaidev Karthickeyan from Cloudera addressed another aspect by participating in an industry panel on the business benefits of eliminating data fragmentation and enabling AI to access trusted enterprise data. Together, the two sessions linked the technology to practical outcomes: AI that goes beyond demonstration projects to deliver value within enterprises. Dell Technologies World - may 18-21. Dell Technologies World put the spotlight on infrastructure, focusing on what it takes to move AI from prototype to production across any environment or workload. Together, Cloudera and Dell Technologies help customers put their data to work wherever it lives, without compromising the governance and security that enterprise AI demands. Cloudera's Kevin Colter, Principal Solutions Architect, joined Justin King of NVIDIA and Ricardo Tavares of Dell Technologies for a breakout session titled, "Accelerating Fraud Detection with Dell Technologies and NVIDIA." Using fraud detection as the proof point, the session showed how trusted infrastructure, accelerated computing, and governed data come together to move AI beyond experimentation and into secure, scalable deployment. That kind of collaboration is the product of a longstanding partnership between Cloudera and Dell Technologies. In fact, Dell Technologies was just named Cloudera's IMPACT Partner of the Year in March 2026. The award reflects the important role that partners play in helping enterprises realize the potential of their AI investments. Snowflake Summit - june 1-4. Just before Snowflake Summit, Cloudera announced that it was adopting Apache Polaris as part of its open data lakehouse architecture, built on Apache Iceberg. This move is designed to cut data movement and duplication, while opening up access across AI engines. Cloudera and Snowflake designed the move together, in the kind of partnership work that gives customers a real choice in how they build their data architecture, not just where they store it. Mark Lyons, Vice President of Product Management at Cloudera, joined The Ravit Show at Snowflake Summit to talk about exactly that, exploring what it takes to make enterprise data accessible, governed, and AI-ready across hybrid and multi-cloud environments. The challenge is familiar to nearly every enterprise: data lives everywhere, but AI needs a trusted source of truth. As Mark explained, "Iceberg has been an amazing unlock for meeting in the middle and creating a platform that works across vendors and, ultimately, for customers." For Cloudera, the conversation was a reminder that open standards and interoperability are what keep enterprises out of lock-in while they get their data ready for AI at scale. Three events, one connected Cloudera story. These three events highlight Cloudera's partner ecosystem through the connected layers of enterprise AI. Knowledge26 showed how zero-copy access activates workflows with trusted data. Dell Technologies World showed the infrastructure that turns AI from prototype into production. Snowflake Summit showed how open standards give customers real choice in their data architecture. Each event proved that enterprises do not need to move all their data to AI. With the right partner ecosystem, Cloudera can bring AI to trusted data wherever it lives. Ready to see what a trusted, partner-powered approach to enterprise AI can do for your organization? Connect with Cloudera to learn how its partner ecosystem can help you put your data to work. Dennis duckworth. Director of Product Marketing, Partner Ecosystem

ET Edge Insights
Aug 21st, 2026
Cloudera kicks off EVOLVE26 in Singapore showcasing Cloudera Anywhere Cloud(TM).

Cloudera kicks off EVOLVE26 in Singapore showcasing Cloudera Anywhere Cloud(TM). * PublishedAugust 21, 2026 Cloudera is set to kick off its annual global data and AI conference series, EVOLVE26, in Singapore on Friday, 21st August. Cloudera CEO Charles Sansbury will attend EVOLVE26 alongside the company's global C-suite leaders, including recently promoted Chief Business Officer and General Manager of Applied AI Abhas Ricky; Chief Revenue Officer Brian Rosso; Chief Product Officer Leo Brunnick; and Chief Technology Officer Sergio Gago. The conference will explore how hybrid data architectures support organizations in governing data consistently, run AI where it is most efficient, and scale innovation securely and cost-effectively. Cloudera also unveiled Cloudera Anywhere Cloud(TM), a new hybrid data and AI platform designed to eliminate the infrastructure barriers slowing enterprise AI adoption. Unlike cloud-only platforms that require organizations to migrate data into proprietary environments, Cloudera Anywhere Cloud establishes a unified control plane that enables enterprises to deploy AI wherever their data already resides. Sponsored globally by Amazon Web Services (AWS), Advanced Micro Devices, Inc. (AMD), VAST Data and locally by Protegrity, Hexaware, Quantexa, TechData and Kyndryl; this year's EVOLVE26 conference brings together industry visionaries, technology partners, and Cloudera's customers from across the region such as Airtel, Axis Bank, Bank Central Asia (BCA), Bank Mandiri, Bombay Stock Exchange, DCB Bank, IDFC First Bank, PCS Security and more. Cloudera was recently named a Leader in The Forrester Wave(TM): Data Lakehouses, Q3 2026, recognizing Cloudera's capabilities in supporting enterprises requiring hybrid flexibility, strong governance, real-time analytics, and operational control across large, distributed, and highly regulated data environments. Discussions at the event are centered on how these capabilities enable the world's largest enterprises to unlock the full value of AI by accessing data anywhere and running AI across public clouds, on-premises data centers, and the edge through a consistent cloud experience. Against the background of enterprises fundamentally rethinking their underlying data architectures, EVOLVE26 will address critical industry shifts revealed in Cloudera's latest global survey, The Great AI Re-Architecture. The study revealed that 84% of APAC respondents have significantly or moderately changed their organization's data storage and architecture practices due to AI integrations, but 68% believe their current data architecture will require a significant overhaul to meet future requirements for AI. The conference agenda features visionary keynotes, industry-focused sessions, interactive hands-on labs, and exclusive "Meet the Experts" meetings for attendees to gain actionable insights into leveraging AI for transformative impact. A mainstage highlight of EVOLVE26 will be a keynote address by Sol Rashidi, the world's first Chief AI Officer and one of the world's foremost authorities on enterprise AI. She will draw on her experience to address practical insights on how enterprises can separate AI hype from operational success, scale adoption across business functions, and create measurable impact from emerging technologies. Additionally, EVOLVE26 will feature breakout sessions and technical talks centered on three core themes: * Operationalizing AI Across Hybrid and Multi-Cloud Environments: Discovering proven strategies for moving Agentic AI from pilot to production while addressing data gravity, sovereignty, and hybrid cloud complexity. * Building Enterprise Expertise and Ecosystem Advantage: Connect with data architects, partners, and AI experts through hands-on experiences, training, certifications, and practical customer case studies. * Designing High-Performance Data Strategies for Measurable Impact: Engage with executives and technical specialists to develop a high-performance data strategy that supports scalable innovation and measurable business outcomes. "AI is only as powerful as the data strategy behind it," said Charles Sansbury, CEO of Cloudera. "At this year's EVOLVE26, we're focused on helping enterprises move from experimentation to real results, unlocking the value of AI, no matter where the data lives, without compromise. By bringing together customers, partners, and industry leaders, we're creating a space to share why a 'data anywhere approach' is vital for accelerating measurable business impact." "Singapore's position as a regional hub for regulatory excellence and digital innovation makes it the natural launchpad for EVOLVE26," said Remus Lim, Senior Vice President for Asia Pacific and Japan at Cloudera. "While organizations across Asia Pacific face diverse data sovereignty and compliance requirements, they share a unified ambition to scale AI securely. EVOLVE26 creates a vital forum for business and tech leaders to exchange cross-market insights and turn regional complexity into practical, production-ready AI action that will propel their business forward." EVOLVE26 will also feature an expo zone with a "Guru Bar" showcasing groundbreaking solutions for scalable and secure data management, business-critical AI applications, and real-time analytics. Attendees at EVOLVE26 can also look forward to the Data Impact Awards 2026, which recognize organizations using data and AI to deliver meaningful business and societal impact with Cloudera. This year, 21 finalists are competing across three categories: * AI Anywhere: Use Cloudera AI to drive insights, automate decisions and scale intelligent applications * Data Anywhere: Build a trusted, unified data lakehouse, with an open foundation to power analytics and AI * Cloud Anywhere: Run data and AI across hybrid or multi-cloud environments with flexibility and control Furthermore, as part of its commitment to collaborative innovation, Cloudera will celebrate exceptional contributions from partners who accelerate enterprise data and AI outcomes across Asia Pacific at its annual Partner Preview event, held on August 19 ahead of EVOLVE26. Award categories are: * APAC Strategic Partner of the Year 2026: TCS * APAC Emerging Partner of the Year 2026: Accenture * APAC Breakthrough Partner of the Year 2026: Kolon Benit * SE Asia Partner of the Year 2026: PCSS * APAC Cloud Partner of the Year 2026: Amazon Web Services EVOLVE26 will once again feature a Women Leaders in Technology session under the theme "The Future of Leadership: Anywhere, Anyone, Anytime". Open to all attendees, the session will bring together senior leaders from across industries to share practical leadership perspectives and explore how inclusive innovation can help organizations realize the full potential of data and AI. Disclaimer: The views expressed in this article are those of the author/authors and do not necessarily reflect the views of ET Edge Insights, its management, or its members.

Channel Post MEA
Aug 21st, 2026
Cloudera to present newly launched Anywhere Cloud at LEAP 2026.

Cloudera to present newly launched Anywhere Cloud at LEAP 2026. On: August 21, 2026 Cloudera announced Cloudera Anywhere Cloud, its new platform for building, deploying, and scaling production-grade data and AI applications across multi-cloud and on-premises environments. The company will showcase the new platform at LEAP, Hall 3, Booth B50. It is designed to operate standalone or complement existing massive data lakes. Cloudera Anywhere Cloud is built to deliver a unified cloud experience wherever data resides. The platform combines modular agility, self-service provisioning, and automated management with complete data control and sovereignty. Powered by Cloudera's agentic copilot, Cloudera Anywhere Cloud enables teams to automate workflows, and launch advanced AI capabilities directly against their proprietary data estates without moving sensitive assets. Organizations across every industry are racing to operationalize AI, but most remain constrained by fragmented infrastructure, lengthy platform upgrade cycles, and increasingly complex data sovereignty requirements. Recent research revealed 73% of IT leaders believe infrastructure performance constraints have hindered operational initiatives, reflecting the difficulty of scaling AI across fragmented environments. As enterprises struggle to balance rapid innovation with security and risk management, high-value AI initiatives often stall long before reaching production. Cloudera Anywhere Cloud addresses this challenge by bringing push-button simplicity and cloud-native agility directly to enterprise data, wherever it resides. Featuring a simpler, outcome-driven interface, it allows teams to focus on solving urgent business use cases and activating AI rather than navigating software mechanics. It is built on a modular architecture that enables organizations to deploy, govern, and scale independent AI and data services across public clouds, sovereign infrastructure, and private data centers through a single control plane. By eliminating disruptive migrations and proprietary vendor lock-in, organizations can move from experimentation to production faster while maintaining unified governance and digital sovereignty across their entire data estate. "Enterprise AI has outgrown the public cloud-only model," said Leo Brunnick, Chief Product Officer at Cloudera. "Organizations shouldn't have to choose between innovation and control. Cloudera Anywhere Cloud brings the speed and flexibility of the cloud directly to enterprise data. This allows enterprises to accelerate AI initiatives while maintaining complete ownership of their data and intellectual property, all while optimizing the cost of their infrastructure, tokens, and business models." Cloudera Anywhere Cloud enables organizations to: * Accelerate AI-enhanced use cases and Private or Sovereign AI deployment to shrink project timelines from months down to minutes and realize faster time to value across agentic AI initiatives. * Quickly optimize workload placement across public clouds, sovereign infrastructure, and private data centers to run applications wherever business, regulatory, or economic priorities dictate without moving or copying any data. * Maintain centralized zero-trust governance across distributed data estates for continuous enterprise compliance, unbroken lineage, and complete digital sovereignty * Deploy decoupled modular data services through self-service marketplace blueprints in any environment. Customers can deploy Cloudera engines such as Spark, Kafka, or Trino, as well as any other open source or partner engine of their choice. * Leverage open, standards-based interoperability with Apache Iceberg, Polaris catalog, and unified APIs to instantly connect analytics engines without vendor lock-in or custom integration tax. * Streamline operations with agentic copilots that convert plain-language requests into automated data workflows or infrastructure management across environments, eliminating operational friction for business and technical teams, while being connected to any company environment. Cloudera Anywhere Cloud allows customers to transform their data estates into an open marketplace ecosystem, combining self-service agility with automated corporate guardrails to accelerate enterprise AI initiatives safely. As a result, developers and data practitioners can utilize a plain-language agentic copilot to rapidly deploy first-party, partner, and open-source data, analytics, and AI capabilities. Every deployment maintains full interoperability while automatically inheriting enterprise governance policies for continuous compliance. Cloudera Customer Design Partners for Anywhere Cloud include these and other leading data-driven organizations: * ADMIRAL Technologies * ExxonMobil * IQVIA * ai * Mastercard Cloudera will be at LEAP 2026 in Riyadh from August 31 to September 3. As the 5th edition of this massive global technology conference gathers innovators in Saudi Arabia, Channel Post MEA invite you to join the team at Hall 3, Booth B50. 2026-08-21

Associated Press
Aug 20th, 2026
Cloudera partners with NVIDIA to cut cloud costs with 4x faster Apache Spark processing

Cloudera has partnered with NVIDIA to introduce native GPU acceleration for Apache Spark 4.1 in Cloudera Data Engineering. The collaboration uses NVIDIA's CUDA-X library, cuDF, to accelerate Spark workloads without requiring code changes to existing PySpark or SQL applications. The integration promises up to 4x workload acceleration on NVIDIA GPUs compared to traditional CPU infrastructure. This aims to reduce data processing times and lower cloud compute costs across hybrid environments. The GPU acceleration capability will be available as part of Cloudera Anywhere Cloud, announced at EVOLVE Singapore on 20 August 2026. Unlike single-cloud solutions, Cloudera's approach works across public cloud, private cloud, sovereign cloud, and on-premises environments whilst maintaining consistent governance and security. Cloudera's recent survey found that 84% of respondents reported increased infrastructure costs due to AI workloads, highlighting the need for more efficient data processing solutions.

IT Brief India
Aug 20th, 2026
Cloudera adds GPU acceleration to Apache Spark 4.1 pipelines.

Cloudera adds GPU acceleration to Apache Spark 4.1 pipelines. Thu, 20th Aug 2026 (Today) Cloudera has added native GPU acceleration for Apache Spark 4.1 in Cloudera Data Engineering through a partnership with NVIDIA. The feature will be available as part of Cloudera Anywhere Cloud. The move targets one of the costliest parts of large-scale data work as companies running AI and analytics projects seek faster ways to prepare data and control cloud spending. The integration uses the NVIDIA cuDF plug-in for Apache Spark, based on CUDA-X software libraries, and allows customers to speed up Spark jobs without rewriting PySpark or SQL code. Apache Spark is widely used for extract, transform and load processes, as well as broader analytics workloads. On conventional CPU infrastructure, those jobs can run for hours, raising compute bills and slowing the handoff from raw data to machine learning and reporting-ready data sets. Cloudera said customers using the new setup can see up to 4x acceleration on NVIDIA GPUs compared with traditional CPU-based systems. The software is also designed to work without manual driver configuration while preserving the governance and security controls already used across Cloudera's broader data platform. The announcement reflects a wider market shift as vendors try to make AI projects less dependent on costly infrastructure expansion. In Cloudera's Great Re-Architecture Survey, 84% of respondents said AI workloads had increased infrastructure costs. Hybrid focus A central part of the rollout is support for hybrid environments rather than a single public cloud. Organisations will be able to run the accelerated Spark workloads across public cloud, private cloud, sovereign cloud and on-premises systems while keeping the same operating model, according to Cloudera. That approach may appeal to large companies that cannot move all their data into one environment because of regulation, residency requirements or existing investments in on-site systems. By tying GPU acceleration to its data engineering service, Cloudera is aiming to reduce the need for bespoke tuning across separate environments. The feature also expands NVIDIA's role in enterprise data stacks beyond AI model training and inference. GPU use in data engineering is drawing growing interest as businesses look for gains earlier in the AI pipeline, particularly in data cleaning and transformation, where large volumes of information must be processed before use in production systems. Leo Brunnick, Chief Product Officer at Cloudera, said the main constraint is often data bottlenecks rather than model quality alone. "For many organizations, AI isn't limited by models. It's limited by how quickly they can turn raw data into trusted, usable insights," said Leo Brunnick, Chief Product Officer at Cloudera. "Accelerating Spark inside Cloudera Data Engineering helps remove that bottleneck, allowing customers to move from data preparation to analytics and AI faster while keeping governance, security, and operational consistency at the center of their strategy." Cost pressure Cloud compute spending has become a more prominent concern as AI deployments expand from pilot projects to regular business use. Spark workloads are often among the largest recurring jobs in data estates, so even moderate runtime reductions can materially affect monthly infrastructure bills. Cloudera is positioning the integration as a way to shorten those runtimes without requiring engineering teams to change established applications. For companies with substantial PySpark and SQL code bases, avoiding rewrites can matter as much as raw speed gains because it removes migration work and lowers operational risk. NVIDIA said the partnership is intended to fit into existing enterprise practices rather than force changes in how teams manage their environments. "The fastest path to accelerating AI deployments is the one that aligns with how enterprises already operate today," said Pat Lee, Vice President of Strategic Enterprise Partnerships at NVIDIA. "With NVIDIA AI infrastructure and CUDA-X libraries now native to Cloudera Data Engineering, enterprises can lower costs and dramatically speed up Apache Spark pipelines without changing a single line of PySpark or SQL code, turning business data into a foundation for AI." For Cloudera, the launch adds another feature to its push to serve customers running mixed cloud and on-premises estates. For NVIDIA, it extends the use of its software libraries into mainstream data engineering workflows, where the business case for acceleration may be easier to measure through reduced runtime and lower compute use. GPU acceleration for Apache Spark will be available in Cloudera Data Engineering as part of Cloudera Anywhere Cloud, with support aimed at organisations running Spark wherever their data resides.