N

Nutanix

Builds software to run apps across cloud systems

Enterprise Account Manager - West Tennessee

Full-Time
$300k - $450k/yr+ Sign-on bonus + Restricted stock units + Discretionary awards
Senior
Nashville, TN, USA
RemoteRemote within the West Tennessee area, with approximately 30% travel and occasional visits to a local office or other locations.
Sales & Account ManagementAccount Management
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A minimum of five years of experience in enterprise account management or a related field.
  • A proven track record of meeting or exceeding sales quotas.
  • Strong communication and negotiation skills.
  • The ability to build and maintain strong client relationships.
  • Effective problem-solving and analytical thinking abilities.
  • Familiarity with remote sales strategies and tools.
  • Adaptability to a fast-paced and changing environment.
  • An understanding of market trends and industry dynamics.
Responsibilities
  • Manage a portfolio of enterprise accounts to drive revenue growth and achieve sales targets.
  • Develop and maintain strong relationships with key stakeholders within assigned accounts.
  • Identify client needs and align solutions to meet their business objectives.
  • Collaborate with cross-functional teams to ensure successful delivery of products and services.
  • Conduct regular business reviews to assess performance, uncover opportunities, and mitigate risks.
  • Lead negotiations and close contracts while ensuring compliance with company policies.
  • Monitor market trends and competitor activities to inform sales strategy.
  • Set and achieve objectives for client satisfaction and revenue growth within the first year.

About the company

N

Nutanix

View
cbWebsite

Nutanix builds infrastructure software for organizations that run applications and manage data across private data centers, public clouds and edge locations. Its cloud platform combines virtual machines, storage, networking and management, with AHV virtualization and Prism controls in one system. Customers also use its tools to operate Kubernetes clusters, automate databases and deploy AI inference services across computing environments. The company sells software subscriptions and support that run on compatible servers and public cloud capacity supplied by other providers. Nutanix was founded in 2009 and is headquartered in San Jose, California.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

San Jose, California

Founded

2009

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Simplify Jobs

Simplify's Take

What believers are saying

  • Revenue is growing: Nutanix's August 2026 report showed fiscal 2026 revenue of $2.85 billion, up 12% yearly.
  • AI capabilities expanded: Nutanix acquired Ryax in September 2026, adding compute orchestration technology with integration into its platforms planned.
  • Employees get wellbeing days: Nutanix's annual filing says all staff are offered dedicated time away from work.

What critics are saying

  • Jobs face restructuring: Nutanix announced a planned 5% global workforce reduction in August 2026, with implementation varying by jurisdiction.
  • Migration sales face delays: Nutanix's annual filing identifies contracts, hardware refresh cycles and budget constraints as adoption barriers.
  • Commercial leadership is transitioning: Nutanix's October 2026 filing says former president Tarkan Maner became a senior advisor.

What makes Nutanix unique

  • Virtualization comes integrated: Nutanix's AHV hypervisor is included with its infrastructure software license and managed through Prism.
  • Licenses move with workloads: Nutanix Cloud Clusters lets customers reuse software licenses across data centers and public clouds.
  • AI deployment has its own platform: Nutanix Enterprise AI manages enterprise inference services alongside its Kubernetes infrastructure.

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Benefits

  • Competitive compensation and equity
  • Robust medical, dental, and vision coverage
  • Paid volunteer time off and donation matching
  • Speed coaching and professional development
  • Wellness perks and flexible time off to recharge

Growth & Insights and Company News

6 month growth

0%

1 year growth

0%

2 year growth

0%
MarketScreener
Oct 21st, 2026
Nutanix announces that it is collaborating with nvidia, Supermicro, and Netris to deliver new ai solutions.

Nutanix announces that it is collaborating with nvidia, Supermicro, and Netris to deliver new ai solutions. Published on 10/21/2026 at 02:20 pm EDT S&P Capital IQ Nutanix announced it is collaborating with NVIDIA, Supermicro, and Netris to deliver new AI solutions that aim to simplify the infrastructure required for production AI and help organizations bring new capabilities online faster. By combining Nutanix software with leading hardware, networking, and silicon technologies, Nutanix aims to help enterprises deploy and operate production AI environments more efficiently at scale. As organizations push more AI workloads into production, capacity constraints and operational complexity can make it harder to move quickly. Nutanix and its partners are working to simplify that path to make it easier to bring AI into production faster and accelerate time to value. Extending Agentic AI to the CPU Layer with NVIDIA Vera; As enterprises adopt agentic AI at scale, they are anticipated to require infrastructure that can support increasingly demanding workloads across the full AI environment, not just GPU-intensive tasks. Agentic applications combine inference with tool calls, code execution, retrieval, orchestration, and outcome processing. As these workflows scale, CPU performance is expected to become essential for completing the steps between GPU operations, reducing delays, and maximizing overall AI-factory efficiency. To help ensure this critical compute path does not become a bottleneck, Nutanix plans to work towards Day Zero support for NVIDIA Vera CPUs, beginning with NKP Bare Metal, to serve highly performance-sensitive AI factory environments, with planned expansion to virtualized Nutanix environments. By pairing NVIDIA?s purpose-built CPU architecture? engineered for high-speed agent execution and reduced latency? and NVIDIA OpenShell to create safe, private runtime environments for agents with NKP, the collaboration aims to give organizations a predictable, high-performance foundation for their most advanced AI agents. This support is expected to give organizations greater flexibility in how they safely deploy agentic AI while simplifying operations with a consistent cloud operating model. Nutanix and Supermicro Take on Runaway AI Costs with Jointly Engineered System for Private Inference. Nutanix and Supermicro are announcing plans for a jointly engineered AI infrastructure solution built around validated Supermicro server systems. By combining Supermicro servers and NVIDIA GPUs with Nutanix Agentic AI (NAI) and NVIDIA Spectrum-XTM Ethernet networking, the solution is being designed to help reduce custom configuration and integration delays, with the goal of helping enterprises get on-premises GPU capacity and take on runaway AI costs with a jointly engineered system powered by NAI for private inference. As AI requirements grow, the architecture is expected to be able to scale GPU capacity to meet evolving requirements. Nutanix provides an AI cloud control plane and AI storage purpose-built to support workloads with resilient operations and high-throughput data workflows. Customers are anticipated to gain a predictable path to deploy, manage, and scale AI inference workloads without assembling and integrating a complex, multivendor environment. Nutanix and Netris: Making Multitenant AI Infrastructure Easier to Deploy and Operate; For NVIDIA Cloud Partner reference architectures, multitenancy is designed to extend across AI infrastructure, including the physical network. In dynamic neocloud environments, operators also must be able to automate network access and ensure tenant isolation as customers, workloads, and GPU allocations change. Nutanix and Netris are collaborating to automate this network-layer multitenancy and turn complex GPU infrastructure into secure, cloud-like, multitenant AI services. Nutanix will provide the foundation for compute across virtual machines, containers, CPUs, and GPUs, along with storage, security, Kubernetes, and Nutanix Agent Gateway, model-as-a-service and AI platform services. Netris will provide network automation, abstraction, and multitenancy across the physical network fabric, with hard isolation (enforced on networking hardware) from compute through the physical network. Together, the integrated solution will provide a cloud-like self-service operating experience across bare-metal and virtualized AI infrastructure, helping providers instantly onboard tenants and deliver AI services more efficiently. (C) S&P Capital IQ - 2026

Financial IT
Oct 21st, 2026
Nutanix builds a faster foundation for production AI.

Nutanix builds a faster foundation for production AI. * Artificial Intelligence * 21.10.2026 01:13 pm Nutanix, a hybrid cloud leader and AI platform company, today announced it is collaborating with NVIDIA, Supermicro, and Netris to deliver new AI solutions that aim to simplify the infrastructure required for production AI and help organisations bring new capabilities online faster. By combining Nutanix software with leading hardware, networking, and silicon technologies, Nutanix aims to help enterprises deploy and operate production AI environments more efficiently at scale. As organisations push more AI workloads into production, capacity constraints and operational complexity can make it harder to move quickly. Nutanix and its partners are working to simplify that path to make it easier to bring AI into production faster and accelerate time to value. "Organisations need more than just advanced infrastructure to move agentic AI into production - we believe they need an AI cloud that simply connects intelligence, agents, enterprise applications, and data across CPUs, GPUs, virtual machines, containers, on-premises environments, and cloud," said Thomas Cornely, Executive Vice President, Product Management at Nutanix. "Through our collaboration with NVIDIA, Supermicro, and Netris, we plan to help customers accelerate deployments of agents and AI services on a unified platform with built-in security, performance, and governance." Extending Agentic AI to the CPU Layer with NVIDIA Vera As enterprises adopt agentic AI at scale, they are anticipated to require infrastructure that can support increasingly demanding workloads across the full AI environment, not just GPU-intensive tasks. Agentic applications combine inference with tool calls, code execution, retrieval, orchestration, and outcome processing. As these workflows scale, CPU performance is expected to become essential for completing the steps between GPU operations, reducing delays, and maximising overall AI-factory efficiency. To help ensure this critical compute path does not become a bottleneck, Nutanix plans to work towards Day Zero support for NVIDIA Vera CPUs, beginning with NKP Bare Metal, to serve highly performance-sensitive AI factory environments, with planned expansion to virtualised Nutanix environments. By pairing NVIDIA's purpose-built CPU architecture - engineered for high-speed agent execution and reduced latency - and NVIDIA OpenShell to create safe, private runtime environments for agents with NKP, the collaboration aims to give organisations a predictable, high-performance foundation for their most advanced AI agents. This support is expected to give organisations greater flexibility in how they safely deploy agentic AI while simplifying operations with a consistent cloud operating model. Nutanix and Supermicro Take on Runaway AI Costs with Jointly Engineered System for Private Inference Nutanix and Supermicro are announcing plans for a jointly engineered AI infrastructure solution built around validated Supermicro server systems. By combining Supermicro servers and NVIDIA GPUs with Nutanix Agentic AI (NAI) and NVIDIA Spectrum-XTM Ethernet networking, the solution is being designed to help reduce custom configuration and integration delays, with the goal of helping enterprises get on-premises GPU capacity and take on runaway AI costs with a jointly engineered system powered by NAI for private inference. As AI requirements grow, the architecture is expected to be able to scale GPU capacity to meet evolving requirements. Nutanix provides an AI cloud control plane and AI storage purpose-built to support workloads with resilient operations and high-throughput data workflows. Customers are anticipated to gain a predictable path to deploy, manage, and scale AI inference workloads without assembling and integrating a complex, multivendor environment. Nutanix and Netris: Making Multitenant AI Infrastructure Easier to Deploy and Operate For NVIDIA Cloud Partner reference architectures, multitenancy is designed to extend across AI infrastructure, including the physical network. In dynamic neocloud environments, operators also must be able to automate network access and ensure tenant isolation as customers, workloads, and GPU allocations change. Nutanix and Netris are collaborating to automate this network-layer multitenancy and turn complex GPU infrastructure into secure, cloud-like, multitenant AI services. Nutanix will provide the foundation for compute across virtual machines, containers, CPUs, and GPUs, along with storage, security, Kubernetes, and Nutanix Agent Gateway, model-as-a-service and AI platform services. Netris will provide network automation, abstraction, and multitenancy across the physical network fabric, with hard isolation (enforced on networking hardware) from compute through the physical network. Together, the integrated solution will provide a cloud-like self-service operating experience across bare-metal and virtualised AI infrastructure, helping providers instantly onboard tenants and deliver AI services more efficiently. Analyst Commentary "Nutanix built its enterprise business by simplifying virtualised infrastructure and more recently containerised workloads," said Don Gentile, Analyst, Data Platforms and Resiliency, HyperFRAME Research. "Now it's extending that expertise to bare- metal AI systems, agent execution, private inference, and multitenant cloud services. Through innovation and targeted partnerships, Nutanix is advancing a common cloud operating model that enterprises and service providers have long wanted: consistent management, automation, and choice across increasingly diverse infrastructure." Ecosystem Commentary "AI agents need fast CPUs to execute code, use tools and process data between model calls," said Hannah Coutand, Director of Product Marketing for Vera CPU at NVIDIA. "NVIDIA Vera is purpose-built for this work, and our collaboration with Nutanix will help enterprises bring high-performance agentic AI into production with a consistent cloud operating model." Customer Commentary "Digital and AI transformation is a fundamental pillar supporting the Kingdom's ambitions to build cutting-edge, resilient, agile, and data-driven public services. Through our collaboration with Nutanix, we look forward to exploring how Nutanix's platform for hybrid cloud computing across multiple environments can support the adoption of AI technologies and help develop national capabilities in advanced cloud and AI technologies." - Ministry of Environment, Water and Agriculture (MEWA) - Kingdom of Saudi Arabia

VMblog
Oct 21st, 2026
Nutanix and Netris announce strategic collaboration to deliver a multitenant infrastructure stack from compute to network for neoclouds and NVIDIA Cloud partner environments.

Nutanix and Netris announce strategic collaboration to deliver a multitenant infrastructure stack from compute to network for neoclouds and NVIDIA Cloud partner environments. Nutanix and Netris announced a strategic collaboration to deliver a jointly engineered infrastructure stack designed specifically for neoclouds and enterprises. By combining Nutanix Cloud Platform and Nutanix's expertise in cloud infrastructure and compute orchestration with the Netris NAAM platform, the joint solution will provide neoclouds and enterprises with a scalable, secure, and multitenant solution across the infrastructure. As the demand for AI infrastructure accelerates, neoclouds and enterprises are leading the deployment of large GPU clusters to support a broad range of AI workloads. Delivering this infrastructure as a service requires both soft isolation and hard isolation (enforced on networking hardware) that extends across every layer of the infrastructure, from the compute layers and data processing units to the physical switches. An automated multitenant infrastructure stack for AI clouds. Bringing together Nutanix's cloud infrastructure capabilities with Netris network automation and multitenancy, the joint solution will provide neoclouds and enterprises with a secure, multitenant AI infrastructure stack across bare-metal and virtualized environments, enabling providers to instantly onboard customers, maintain strict isolation between tenants from compute through the physical network, and deliver AI services through a cloud-like self-service experience. Key highlights of the joint solution for neoclouds and enterprises will include: * Automated Network Fabric Operations: Simplifies AI infrastructure deployment by automatically configuring the physical network as tenant resources are provisioned, reducing manual effort, accelerating time to value, and improving operational consistency. * Unified Multitenant Networking: Delivers a consistent networking experience across physical and virtual environments by translating Nutanix tenant requirements into the appropriate underlying network services for bare-metal and virtualized GPU nodes. * Self-Service Cloud Networking: Provides cloud-grade networking constructs - VPCs, elastic IPs, NAT, and L4 load balancers - through a web console, REST API, and Terraform, enabling infrastructure to be consumed through a self-service, cloud-like experience. * High-Performance AI Factory Networking: Supports the connectivity for demanding AI workloads, enabling efficient edge, East-West, North-South, scale-up, and host-based networking traffic flows. * End-to-End Tenant Isolation: Extends secure hard and soft tenant isolation across the entire network - from virtual workloads through the physical switching layer - supporting secure, reliable GPU-as-a-Service offerings on shared infrastructure. Executive commentary. "Neoclouds and NVIDIA Cloud Partners are at the forefront of the AI transformation, but building the cloud operating stack required to monetize GPU clusters at scale is remarkably complex," said Ketan Shah, Vice President, Product Management, Nutanix. "By pairing Nutanix's Agentic AI solution with the Netris NAAM platform, we will provide AI cloud operators with an out-of-the-box solution to accelerate their journey from metals to margins. We chose to partner with Netris, a leader in network automation, abstraction, and multitenancy, to give operators true self-service networking across both bare-metal and virtualized environments. This will enable our partners to deliver secure, multitenant IaaS environments quickly while maintaining the simplicity and enterprise reliability that Nutanix is known for." "AI infrastructure is scaling incredibly fast, and the network has to scale with it," said Alex Saroyan, CEO and Co-Founder of Netris. "An AI cloud needs two layers working as one - Nutanix's compute orchestration and virtualization, backed by deep operational leadership and experience, and Netris network automation, abstraction, and multitenancy. What makes this collaboration matter is that those layers stay continuously in sync, giving neoclouds and enterprises a single automated stack for secure, multitenant GPU services." Analyst commentary. "AI infrastructure providers are evolving beyond GPU capacity to deliver trusted inference environments, workload orchestration, agent lifecycle management, and managed AI services. The differentiator will be a cloud-like operating model that combines performance with control, isolation, and security at every layer of the stack." - Steve McDowell, Principal Analyst, NAND Research Availability. The joint solution is planned to be available in tech preview in early 2027. David Marshall is the founder of VMblog.com, one of the industry's longest-running independent publications covering modern data center technologies. What began as a focus on virtualization and cloud computing has expanded to cover the full spectrum of enterprise IT, including AI, security, and DevOps, making VMblog a trusted destination for vendor news, technology analysis, and industry commentary.Beyond publishing, David has spent his career at the intersection of technology and business, inventing, marketing, and launching a number of successful software companies and products, and building a reputation as a skilled marketing executive in the enterprise IT space.David is also a published author, having written two well-regarded books on virtualization and served as technical editor for two "For Dummies" titles covering virtualization and cloud computing. He co-founded CloudCow.com, a publication focused on cloud computing, and has been named a VMware vExpert every year since 2009, one of the longest continuous honoree streaks in the program's history.Connect with David on LinkedIn: https://www.linkedin.com/in/davidmarshall/

The Register
Oct 20th, 2026
Nutanix's dual-native platform runs VMs and containers together for agentic AI

Nutanix says enterprises can run virtual machines (VMs) and containers on one platform, rather than keeping separate stacks as AI adoption grows. The company calls the approach "dual-native" and delivers it through its Nutanix Cloud Platform (NCP). New AI workloads often go straight to containers, while existing applications and data stay on VMs. Separate stacks bring duplicate capacity plans, fragmented governance, and "stranded capacity." In Nutanix's latest Enterprise Cloud Index survey, 85% of IT executives said AI is speeding their adoption of containers. NCP runs VMs and Kubernetes-based AI workloads together across on-premises, public cloud, and edge. Nutanix Enterprise AI release 2.8 adds governance controls for agents and private inference, and works with NVIDIA NIM and NeMo microservices. "Rather than trying to work around heterogeneity, the objective now should be to make heterogeneous environments operate consistently," said Harsha Kotikela, senior director of product and solutions marketing at Nutanix.

exchange4media
Oct 15th, 2026
Nutanix expands Faiz Shakir to lead Asia Pacific and Japan.

Nutanix expands Faiz Shakir to lead Asia Pacific and Japan. Shakir's new role will be as Vice President - Sales, Asia Pacific and Japan. Nutanix has appointed Faiz Shakir to Vice President, Sales, Asia Pacific and Japan (APJ). In his expanded new role, Shakir will lead Nutanix's regional strategy, go-to-market execution, partner ecosystem, and customer expansion across the APJ region. Shakir has been associated with Nutanix for a decade. "Faiz's 10-year journey, rising from our first sales hire in India to leading our regional business, reflects his deep understanding of enterprise customer priorities and market dynamics," said Andrew Brinded, Chief Revenue Officer, Nutanix. "His proven track record of building and scaling high-performing teams makes him uniquely suited to drive our next phase of growth across Asia Pacific and Japan as AI reshapes enterprise IT." "Having been part of Nutanix's growth story in India from day one, I am honored to take on this expanded role," said Faiz Shakir, Vice President, Sales, APJ, Nutanix. "Enterprises across India and the wider region are at a crucial inflection point as they modernize their cloud infrastructure and build readiness for AI. I look forward to working closely with our regional teams, partners, and customers to accelerate their transformation journeys."