Full-Time

Partner Content Governance Lead

Pure Storage

Pure Storage

5,001-10,000 employees

Delivers all-flash storage hardware and services

Compensation Overview

$153k - $230k/yr

+ Incentive pay + Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

In Person

Work from the Santa Clara office is expected.

Category
Business & Strategy (1)
Required Skills
Graph Databases
Information Architecture
Data Analysis

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Requirements
  • 8+ years of experience in content operations, content management, enablement operations, digital experience management, knowledge management, or related disciplines.
  • Experience managing content governance frameworks and content operations at scale.
  • Strong understanding of content lifecycle management, taxonomy, metadata, search optimization, and content discoverability.
  • Experience working with enterprise content management systems, portals, learning platforms, or digital experience platforms.
  • Demonstrated experience leveraging artificial intelligence tools to improve operational efficiency and automate business processes.
  • Strong project management and stakeholder management skills.
  • Ability to influence cross-functional teams without direct authority.
  • Exceptional attention to detail and operational discipline.
  • Excellent written and verbal communication skills.
  • Hands-on experience designing taxonomies and ontologies.
  • Familiarity with knowledge graphs, graph databases, and semantic query languages.
  • Background in knowledge architecture, information architecture, or enterprise content strategy.
Responsibilities
  • Establish and maintain governance frameworks for partner-facing content across all partner platforms.
  • Define and maintain content ownership, review cadences, approval workflows, and content publication standards in partnership with platform publishing teams.
  • Serve as the central coordinator between content producers and publishing teams, overseeing the end-to-end content intake and governance process while partnering with platform teams responsible for content publication.
  • Drive accountability for content freshness, accuracy, and lifecycle management.
  • Implement content audit and archival processes to eliminate outdated or duplicate content.
  • Own the coordination and governance of content delivery across Partner Central, Partner Library, and future partner content platforms.
  • Manage content intake, prioritization, review, approval, and retirement processes, ensuring content is publication-ready and aligned with governance standards.
  • Ensure content is properly categorized, tagged, searchable, and aligned to partner personas and journeys.
  • Continuously improve partner content discoverability and user experience.
  • Establish and manage content governance service-level agreements, workflow performance metrics, and operational key performance indicators.
  • Partner closely with Product Marketing, Launch Teams, Alliances, and Enablement organizations to ensure partner-facing content is ready at launch.
  • Coordinate launch-related content updates across multiple platforms.
  • Create repeatable launch readiness processes and content checklists.
  • Ensure partner-facing assets are review-complete, publication-ready, and available to partners at or before general availability.
  • Ensure synchronization of dual-audience content across partner-facing and internal platforms, coordinating with both self-service and managed publishing processes to maintain message consistency, publishing alignment, and content accuracy across all audiences.
  • Leverage artificial intelligence to enrich partner knowledge through intelligent metadata generation, taxonomy and ontology alignment, semantic tagging, summarization, and knowledge classification.
  • Design artificial-intelligence-ready knowledge structures that improve discoverability, reuse, and retrieval across partner-facing content and systems.
  • Identify opportunities to automate knowledge governance, metadata management, and publication workflows using artificial intelligence and intelligent automation.
  • Develop scalable knowledge architecture practices that combine human expertise with artificial-intelligence-assisted knowledge management and curation.
  • Establish best practices for responsible artificial intelligence adoption, ensuring knowledge quality, governance, consistency, and trust across the partner ecosystem.
  • Define and track content effectiveness metrics, including usage, engagement, search success, content freshness, and partner feedback.
  • Analyze content performance and identify optimization opportunities.
  • Provide regular reporting and recommendations to leadership.
  • Drive continuous improvement of partner content operations and governance practices.
Desired Qualifications
  • Experience supporting partner ecosystems, channel organizations, or customer-facing digital platforms.
  • Experience with artificial-intelligence-powered content management, generative artificial intelligence tools, workflow automation platforms, and knowledge management systems.
  • Familiarity with learning management systems, content repositories, and partner portals.
  • Experience developing governance models, service-level agreements, and operational metrics.
  • Experience working in a fast-paced, high-growth technology company.

Pure Storage provides data storage solutions including all-flash storage arrays, cloud storage, hybrid cloud, and data protection services. Its products work by using flash memory to deliver fast data access, with Evergreen One offering a subscription-based, continuous update and maintenance model that keeps hardware and software up to date without replacing hardware. The company differentiates itself from competitors through a focus on high-performance all-flash storage, scalable data management, and a subscription-based Evergreen model that sustains ongoing software/firmware updates. Its goal is to help businesses manage, protect, and access their data efficiently at scale with sustainable, environmentally friendly storage solutions.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

2009

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 FY2026 revenue reached $861 million, up 13%, and guidance rose to $3.63 billion.
  • June 2026 Accelerate launched Data Stream, FlashArray//XL190, and expanded NVIDIA partnership.
  • Customer adoption stayed strong: subscriptions grew 15%, operating cash flow hit $212.2 million.

What critics are saying

  • Pure Storage’s 2024 Snowflake breach exposed telemetry, emails, and LDAP usernames, damaging trust.
  • CVE-2026-6444 and CVE-2026-0207 hit Purity and FlashBlade in 2026, demanding urgent patching.
  • Everpure’s pivot from storage to data intelligence risks distracting customers while NVIDIA and NetApp compete.

What makes Pure Storage unique

  • Pure Storage’s FlashBlade//EXA targets AI factories with 800 Gbps per node throughput.
  • Everpure Data Stream and Data Intelligence fuse storage, classification, and AI-ready context.
  • Evergreen subscription model drove 48% revenue from services and $1.8 billion ARR in Q2 FY2026.

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Benefits

Insurance, Health & Wellness - Accidental death and dismemberment (AD&D) Insurance, Dental Insurance, Disability Insurance, Gym / Wellness Reimbursement, Health Insurance, Health Savings Account (HSA), Life Insurance, Maternity Leave, PTO (Vacation / Personal Days), Paternity Leave, Vision Insurance

Home - Business Travel Insurance, Immigration Assistance, Phone Bill Reimbursement, Remote Work

Financial & Retirement - 401k 100% match on the first 3% of base salary, Employee Stock Purchase Program (ESPP), Flexible Spending Account (FSA)

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
Data Center Dynamics
Aug 19th, 2026
Everpure secures contract from "top five" hyperscaler for its flash storage offering.

Everpure secures contract from "top five" hyperscaler for its flash storage offering. Company's second contract with a hyperscaler customer August 19, 2026 Everpure, formerly known as Pure Storage, has secured a second hyperscaler customer. Described as a "top-five hyperscaler," the contract is for the design and supply of storage solutions based on Everpure's DirectFlash technology. The identity of the hyperscaler has not been provided. DirectFlash is a software-powered storage solution that Everpure says can enable hyperscalers to deploy a consistent and unified architecture across storage tiers. Another hyperscaler - Meta Platforms - adopted Everpure's solutions in late 2024. Charles Giancarlo, chairman and CEO of Everpure, said: "Our growing success in hyperscale environments is based upon a foundationally more advanced architecture and technology than legacy storage solutions. Securing a design win with a second hyperscaler for our hyperscale solution signals strong recognition of the economic, operational, and performance advantages of our DirectFlash technology." The value of the contract has not been shared, but Everpure said that it is expected to be a "significant contributor to future revenue" from fiscal year 2028. In a Q&A sheet shared by the company, Everpure said that while it doesn't identify its customers, what is more important is that "two of the largest infrastructure environments in the world will be utilizing Everpure technology." The company is expecting gross margins from its hyperscale product line to remain between 75 and 85 percent. The contract is structured as a master supply agreement, including software and non-NAND components. At the time of writing, Everpure's stock value is up more than 65 percent compared to the start of the month. Pure Storage rebranded as Everpure in February of this year, simultaneously announcing plans to acquire data intelligence and orchestration company 1touch. The new name "reflects the company's greater impact from reshaping storage to defining the future of data management," Everpure said in a statement. In April 2026, UK cloud provider BlackBox Hosting selected Everpure's all-flash storage technology for its platform. More in the compute, Storage & networking channel.

Yahoo Finance
Aug 11th, 2026
Everpure lands second top-five hyperscaler storage deal, stock jumps 22.3%

Everpure has secured a design win and multi-year supply agreement with a second top-five hyperscaler, extending its DirectFlash-based architecture across multiple storage performance tiers in large-scale cloud data centres. The company expects material revenue contributions from fiscal 2028 onwards. The agreement positions Everpure's software-powered storage platform to free up power and rack space for AI and next-generation workloads in hyperscale infrastructure. This follows the company's June expansion of Everpure Data Intelligence and Enterprise Data Cloud. Everpure's narrative projects $6.1 billion revenue and $671.0 million earnings by 2029, requiring 15.7% yearly revenue growth. However, analysts note that hyperscale deployments demand heavy upfront investment, and some lower-ranked analysts forecast only $5.4 billion revenue by 2029, citing risks like rising NAND costs potentially squeezing margins.

UBX Cloud
Jul 30th, 2026
UBX Cloud/EverPure Partnership Makes Highly Successful Ransomware Protection Available to Small and Midsize Companies

UBX cloud/everpure partnership makes highly successful ransomware protection available to small and midsize companies. Cyberattackers Don't Have a Chance 30 July 2026 At a time when massive companies like the Coca-Colas of the world are getting victimized by ransomware attacks, what chance does a smaller company have against the digital bad guys? UBX Cloud thinks they deserve that chance, and thanks to a partnership with EverPure, protection is now possible at prices every company can afford. UBX Cloud has secured an agreement with EverPure (formerly PureStorage) to make its FlashStack platform available, which ensures restoration and recovery of data instantly and absolutely guaranteed in the event of a ransomware attack. "These are million-dollar storage rays that only a small number of Fortune 500 companies could afford," said UBX Cloud CEO Steven Panovski. "We've been using them since EverPure was a startup. We were their first customer in Michigan, and we've got a special relationship with them. So as the product has evolved, we've learned how to maximize its use and extend that value to our own customers." What makes FlashStack so effective is immutability. The system takes immutable snapshots of the customer's data, and those snapshots cannot be removed unless two users who know the delete protocols exercise them simultaneously with third-party oversight from EverPure's team. There is no way hackers can get these codes. "The codes are in our heads," Panovski explained. "The only way to get at the data is to use two nuclear launch keys, and the hackers can't do that. We have to have two people that are authorized to approve the unlocking and the deletion of that data. So no deep fakes. None of that kind of stuff will fly. And the security protocols are constantly being enhanced." FlashStack is powered by Cisco on the networking side and EverPure on the storage side. And while the product is designed to be utilized through large corporations, UBX Cloud has been able to turn FlashStack into a consumer cloud product - the only cloud provider in both North America and India to do so. That makes the investment for UBX Cloud customers more affordable than for those working directly with the various hardware and software vendors. "Even our smallest engagements get the maximum protection FlashStack offers, even if it's only a single server," Panovski said. "This is a huge development for small and midsize companies."

Yahoo Finance
Jul 24th, 2026
Everpure unveils AI data platform as enterprise storage market surges 22.7% to $9.2B

Everpure, formerly Pure Storage, has launched two products designed to make enterprise data AI-ready. Everpure Data Stream automates data preparation using GPU-accelerated pipelines, reducing processing time from months to minutes. Everpure Data Intelligence, based on technology from its May 2026 acquisition of 1Touch, discovers and classifies data across enterprises using a universal data relationship graph. The shift reflects broader industry challenges. An IDC survey from June 2026 found that 94% of IT leaders cite data quality as the primary factor in AI project success. Many enterprises face idle GPU clusters waiting on poorly prepared data. Global external storage vendor revenue reached $9.2 billion in Q1 2026, up 22.7% year over year, driven largely by AI-focused platform demand.

Blocks & Files
Jul 9th, 2026
Why AI-ready data is the real advantage.

Why AI-ready data is the real advantage. Published thu 9 Jul 2026 // 16:00 UTC Partner Content: Everpure Presents: NVIDIA's Kevin Deierling on the"Why" behind Data Stream Many ambitious enterprise AI projects stall before they ever reach production, and according to NVIDIA's Kevin Deierling, the reason is not what most IT leaders expect. For more stories behind the IT headlines watch Everpure's podcast, The Data Wire. "In almost every environment we walk into, the compute works," says Deierling, senior vice president of networking at NVIDIA. "The GPUs are here, the factory runs - but the data hasn't been refined. The fuel isn't ready." In this new episode of The Data Wire, Everpure's Shawn Rosemarin sits down with Deierling for a practical conversation on what it takes to make AI work at scale inside the enterprise. Rather than dwelling on model architectures or GPU counts, the pair examine the problem underneath almost every high-profile AI initiative: turning fragmented, ungoverned information into what they call AI-ready data. "The industry talks a lot about GPUs and models," Rosemarin notes in the episode's opening minutes. "But the uncomfortable truth is that many of these projects will never make it into production - not because the models don't work, but because the data underneath them was never ready." That theme of data readiness as the real bottleneck became the backdrop for Everpure's Data Stream announcement at Accelerate 2026. Everpure Data Stream is a new capability built on the NVIDIA AI Data Platform reference design, intended to help enterprises discover, transform, and deliver the right data to AI workloads without months of manual pipeline work. If the keynote unveiled the "what" of Data Stream on stage in Las Vegas, this conversation with Deierling and Rosemarin explores the "why" behind it. Across roughly 20 minutes, the two dig into: * Why the move from single-shot inference to agentic AI has changed what storage and networking must do to keep GPUs fed. * How to think about an AI factory, where "AI is the process and data is the raw material," and why that factory fails when the raw material is stale, conflicting, or poorly governed. * Why refined, governed AI-ready data becomes a "durable advantage" competitors cannot buy off the shelf, and why Deierling believes it belongs on the board agenda. "Once you have refined, governed AI data, that's a durable advantage ," Deierling argues. "It's your data, shaped around your business context. Your competitors can't just buy that from a vendor." Data Stream is Everpure's answer to that challenge. Announced on the Accelerate mainstage, the software extends Everpure's storage platform with GPU-accelerated pipelines for ingesting, classifying, contextualizing, and delivering enterprise data to AI models, while enforcing the security and governance controls large organizations require. It builds on Everpure's Data Intelligence capabilities, which discover and map data relationships at the source so AI systems can grasp not just the content of information, but the context around it. "Building the next generation of AI factories requires a data architecture that seamlessly bridges secure, governed enterprise data with accelerated computing," said Jason Hardy, vice president of storage technology at NVIDIA, in the Data Stream launch. "Everpure's integration with the NVIDIA AI Data Platform provides the infrastructure foundation organizations need to scale from AI experimentation to full-production intelligence." For technology leaders who watched the Accelerate keynotes and want a deeper look at the thinking behind Everpure's NVIDIA partnership, this podcast is the recommended next stop. The format leans toward candid strategy rather than product briefing, covering why AI projects stall, what "good" looks like in an AI data pipeline, and how enterprises can move from pilots to AI factories without starving their GPUs. The full episode of The Data Wire featuring Kevin Deierling and Shawn Rosemarin is available now on YouTube and Spotify. Contributed by Everpure.