Winter 2026

Product Manager Intern

Posted on 9/8/2026

Deadline 11/13/26
Red Hat

Red Hat

10,001+ employees

Enterprise open-source software subscriptions and services

No salary listed

No H1B Sponsorship

Boston, MA, USA + 1 more

More locations: Raleigh, NC, USA

In Person

Category
Product (1)
Required Skills
Kubernetes
Product Management
Docker
JIRA
Google Workspace
Linux/Unix
Data Analysis

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Requirements
  • Excellent written and verbal communication skills in English.
  • Ability to manage tasks, meet deadlines, and analyze data to foster data-driven decisions.
  • Basic knowledge of and willingness to learn Google Workspace, Jira, and Slack.
  • Passion, curiosity, and desire to create new things and examine how things work internally.
  • Willingness to learn and proactively work as part of a wider team.
  • Ability to work without a need for current or future visa sponsorship.
Responsibilities
  • Collect and document input from technology users, customers, and other stakeholders to understand customer needs and requirements.
  • Execute and develop competitive analysis by researching competitive solutions and documenting their relative strengths and weaknesses.
  • Develop, prioritize, and document requirements, epics, and user stories for new releases of offerings.
  • Collaborate with engineering teams and other stakeholders to design, develop, and enhance software to solve business problems.

Red Hat sells subscriptions for open-source software and related services to enterprises. Its products, like Red Hat Enterprise Linux, OpenShift, and Ansible, are open-source but come with guaranteed updates, patches, and professional support through a subscription, so customers install the software and receive ongoing assistance. The company differentiates itself with an enterprise-focused, integrated stack and services around hybrid cloud, containers, and automation, backed by IBM as a strategic owner while Red Hat operates as a distinct unit. Its goal is to help large organizations deploy, manage, and scale open-source software across complex IT environments with predictable, enterprise-grade support.

Company Size

10,001+

Company Stage

Acquired

Total Funding

$34B

Headquarters

Raleigh, North Carolina

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • August 28, 2026 Ansible 2.7 automation orchestrator expands workflow depth and AI-assisted operations.
  • August 20, 2026 FLock.io partnership adds federated learning for sovereign AI customers.
  • April 29, 2026 OpenShift Virtualization roadmap targets VMware migrations and hardware-cost pressure.

What critics are saying

  • August 25, 2026 Keycloak CVE-2026-18963 enables unauthenticated account takeover across identity stacks.
  • August 24, 2026 cluster-proxy-addon SSRF exposes internal cluster services inside OpenShift deployments.
  • April 2026 China R&D cuts and IBM back-office migration erode Red Hat's independence; deeper integration kills differentiation.

What makes Red Hat unique

  • Red Hat owns enterprise open source workflows across RHEL, OpenShift, Ansible, and Keycloak.
  • May 5, 2026 MCP server for OpenShift gives governed AI access to clusters.
  • Fortune 500 standardization and IBM distribution create sticky, long-lived enterprise deployments.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Family Planning Benefits

Tuition Reimbursement

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Webhani Inc.
Aug 30th, 2026
Letting an AI agent talk to your Kubernetes cluster: the guardrails MCP servers don't give you by default.

Letting an AI agent talk to your Kubernetes cluster: the guardrails MCP servers don't give you by default. webhani · 2026-08-30 Red Hat is building an open-source MCP (Model Context Protocol) server extension aimed at letting AI assistants manage Kubernetes and OpenShift clusters directly - querying resource state, applying manifests, and running the kind of operational tasks a platform engineer would normally run through kubectl. It's part of a broader trend: MCP has become the default way to wire an AI agent into infrastructure tooling, and cluster management is one of the more consequential places that's happening, because the blast radius of a wrong command is a production outage, not a bad code suggestion. This is a genuinely useful capability - "ask the agent to diagnose why this pod is crash-looping and it queries the cluster directly" is a real time-saver over copy-pasting kubectl describe output into a chat window. But an MCP server that can read cluster state can usually also write it, and the default configuration of "give the agent a kubeconfig" grants far more than most tasks need. The most common mistake webhani inc. see is pointing an MCP server at a kubeconfig with cluster-admin, because it's the fastest way to get the integration working in a demo. That's fine for a local kind cluster; it's not fine for anything touching production, for the same reason you wouldn't give a CI runner cluster-admin just because it's convenient. The agent inherits every permission the credential has, including ones no task you're planning to ask it for actually needs. Create a dedicated ServiceAccount and RBAC role for the MCP server's identity - not the human operator's kubeconfig, and not cluster-admin. Start read-only. Diagnosis and investigation cover the majority of what teams actually want an agent doing against a live cluster, and read-only access means a bad or hallucinated command can't do damage - it just returns an error or wrong-but-harmless output. If you do want the agent to apply changes - restarting a deployment, scaling a replica count - put that in a second Role scoped to exactly those verbs and resources, bound only in the namespaces where it's needed. Never grant cluster-wide write access to an agent identity; namespace-scoped RoleBindings mean a mistake in a staging namespace can't reach production, even if the same MCP server instance is technically capable of talking to both. Kubernetes audit logging can filter on a specific ServiceAccount, which means you can get a clean, isolated trail of everything the agent actually did versus what a human operator did - critical both for debugging an incident the agent may have caused and for building the trust needed to expand its scope later. The MCP server process holds the credential and mediates every call the agent makes - if it's compromised or misconfigured, the RBAC scoping on the ServiceAccount is your only remaining control. Run it in its own namespace, apply a NetworkPolicy restricting its egress to the Kubernetes API server, and don't expose it on a shared network segment with unrelated workloads. * Start every MCP-to-cluster integration read-only, and add write scopes one capability at a time as you build confidence. * Never bind an agent identity to cluster-admin, even temporarily "to get it working" - scope it from the first deployment. * Turn on audit logging filtered to the agent's ServiceAccount before granting any write access, not after the first incident. * Keep the MCP server's blast radius equal to what you'd accept from a junior engineer's first week of kubectl access, not what you'd hand a senior SRE. The capability itself is worth adopting - cluster-aware AI assistance genuinely speeds up diagnosis and routine operations. The risk isn't the integration; it's skipping the RBAC design work because the demo worked with a kubeconfig that had more access than the task needed.

Red Hat
Aug 28th, 2026
Friday five - august 28, 2026.

Friday five - august 28, 2026. Streamlining container security: Red Hat Hardened Images now supported in AWS InspectorScan API and ECR Basic scanning. AWS InspectorScan API and ECR Basic scanning now support Red Hat Hardened Images. This integration helps software security and development teams reduce vulnerability alerts, verify software supply chain integrity, and streamline compliance across hybrid cloud workflows using enterprise open source container images. Learn more Unify IT workflows at scale with the new automation orchestrator for Ansible Automation Platform. Red Hat announced general availability of the automation orchestrator add-on for Red Hat Ansible Automation Platform 2.7. The composable canvas allows IT teams to weave existing job templates with logic nodes, event-driven triggers, and AI agent recommendations into complex operations workflows without changing established automations. Learn more Open telco AI: Training a model for an industry. Red Hat collaborated with AT&T, AMD, Dell, Microsoft, and GSMA to launch OTel 2.0, a domain-specific AI model for telecommunications. Using Red Hat's open source SDG Hub, the project converts technical standards into high-quality synthetic training data, creating a practical blueprint for carrier-grade AI scaling. Learn more Increasing hardware costs? Get more from your VM estate with Red Hat OpenShift Virtualization. Ahead of the Red Hat OpenShift Virtualization Reception at VMware Explore in Las Vegas (register here), learn how Red Hat OpenShift Virtualization can help you recover capacity and improve efficiency in your virtualization estate, facing hardware budget constraints and memory costs. Discover the three layers of efficiency built into the platform. Learn more Who really built that? Supply-chain provenance for AI agent identity. Close the trust gap with build-time agent supply-chain provenance. Learn how SPIRE plus Sigstore form the foundation for trustworthy agents. Learn more Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on its industry-leading operating system, and automate, secure, and manage complex environments. Award-winning support, training, and consulting services make Red Hat a trusted adviser to the Fortune 500. As a strategic partner to cloud providers, system integrators, application vendors, customers, and open source communities, Red Hat can help organizations prepare for the digital future. Original podcast

TechCentral
Aug 26th, 2026
Red Hat validates LSD Open for virtual machine migrations.

Red Hat validates LSD Open for virtual machine migrations. Promoted | LSD Open has been validated to migrate and run VMs on Red Hat OpenShift Virtualization across sub-Saharan Africa. LSD Open, a cloud-native and AI systems integrator, has been named a Red Hat Specialized Partner for Virtualization in sub-Saharan Africa. The designation adds to the company's Red Hat Premier Business Partner status and recognises technical expertise and service capability around virtual machines. Virtual machine platforms have had an unsettled few years. Consolidation among traditional VM vendors has left many companies facing pricing they cannot sustain and lock-in they did not choose, pushing them to look elsewhere to protect existing VM investments. Red Hat OpenShift Virtualization runs virtual machines alongside containerised applications on a cloud-native platform. LSD Open worked with Red Hat to formalise its skills around it. "As Red Hat continues to evolve and improve its global partner experience, we are committed to helping partners build critical skills and services capabilities that can fuel real business outcomes for customers," says Laurie Fontaine, Red Hat senior director for the global commercial partner ecosystem. "We are pleased to collaborate with LSD Open as part of the Red Hat Specialized Partner program to effectively guide customers in shaping and achieving their IT modernisation goals using industry-leading open source solutions and validated services." Working with Red Hat OpenShift Virtualization, LSD Open helps customers migrate virtual machines to a platform engineered, deployed and managed by Red Hat-certified specialists. That standardises infrastructure and opens a path to modernisation, putting virtual infrastructure on the same footing as cloud-native applications. 'Relentless dedication' The Red Hat Specialized Partner programme validates professional services and technical skills across the customer lifecycle. Partners qualify by demonstrating validated capability in one or more of Red Hat's core technology areas. "Achieving the Red Hat Virtualization specialisation is a proud milestone for LSD Open, showcasing our team's relentless dedication to the Red Hat ecosystem," says Neil White, CEO of LSD Open. "We believe wholeheartedly in Red Hat's open-source vision and tech stack, and this accreditation validates our ability to execute at the highest level. As businesses actively rethink their IT infrastructure, we are thrilled to bring Red Hat's platform to our clients as a powerful, enterprise-grade alternative to traditional virtualization technologies." To discuss virtualisation or arrange a migration assessment, contact [email protected]. * Read more articles by LSD Open on TechCentral * This promoted content was paid for by the party concerned

Intelligent Tech Channels
Aug 26th, 2026
Red Hat appoints Prem Pavan to lead APAC partner ecosystem.

Red Hat appoints Prem Pavan to lead APAC partner ecosystem. Sarah Weston 26 August, 2026 Red Hat has announced the appointment of Prem Pavan as Vice President, Head of APAC Ecosystem, reinforcing the company's focus on helping partners across Asia Pacific support customers in adopting open hybrid cloud, AI and virtualisation technologies. In this role, Prem will lead Red Hat's partner ecosystem strategy across Asia Pacific, working with cloud hyper-scalers, global systems integrators (GSIs), independent software vendors (ISVs), technology partners, value-added resellers (VARs) and distributors. His focus will be on strengthening Red Hat's regional ecosystem, enabling partners to bring Red Hat's open-source technologies to more customers and supporting organisations as they modernise infrastructure, scale AI initiatives and build more flexible hybrid cloud environments. Pavan brings more than three decades of experience in the technology industry, including over 20 years leading teams across Asia Pacific. Most recently, he served as Vice President and General Manager for Southeast Asia and Korea (SEAK) at Red Hat, where he led the company's business across the region. His appointment comes as enterprises across Asia Pacific are rethinking their IT strategies to support AI adoption, application modernisation and changing virtualisation needs. As customers look for greater choice, flexibility and consistency across hybrid environments, partners are playing an increasingly important role in helping organisations move from experimentation to enterprise-scale implementation.

Cisco
Aug 25th, 2026
Deep dive: automating netops with the cisco.catalystcenter Ansible Collection.

Deep dive: automating netops with the cisco.catalystcenter Ansible Collection. As part of its Automating Cisco at Scale series, Cisco Systems, Inc explore how automating Cisco Catalyst Center with Ansible brings infrastructure-as-code practices to enterprise campus orchestration. Having previously established the groundwork with the Red Hat and Cisco partnership and examined Cisco Meraki, Cisco Systems, Inc now address the realities of campus scaling. Eliminating manual configuration errors requires a fundamental operational shift: treating your controller-managed campus network infrastructure as code. In today's IT landscape, this transition is no longer optional - it is necessary for long-term consistency and speed. Historically, network engineers automated campus networks through the command-line interface (CLI) - SSHing into devices, parsing raw text with regular expressions, and pushing structured configuration scripts. When Cisco introduced DNA Center (now Cisco Catalyst Center), the operational focus shifted from individual device management to centralized, controller-led, intent-based networking through a user interface or REST APIs. As enterprise networks scale, managing complex Cisco Catalyst environments through manual operations or custom, brittle API scripts is no longer sustainable. To help network engineers treat infrastructure as code, Cisco and Red Hat have delivered the cisco.catalystcenter Ansible Collection. Available through Red Hat Ansible Automation Hub, this validated collection provides a robust, enterprise-grade framework of modules, roles, and playbooks that interact directly with Cisco Catalyst Center through its APIs. High-Value enterprise use cases and playbook blueprints. The collection features more than 70 operational and configuration use cases, covered in more than 300 playbooks. The most impactful implementations solve high-friction enterprise problems. Day 0/1: zero-touch discovery and provisioning. Manual onboarding of branch devices is a significant bottleneck. Using the Cisco Validated Playbooks (CVP) and roles provided, you can automate the Plug and Play (PnP) onboarding process. Playbooks can programmatically design site hierarchies, allocate global and site-specific IP address pools, and assign device credentials. You can enforce standardized network settings - such as SNMP, telemetry, logging, and wireless profiles - uniformly across the enterprise before a device even connects. Example: The pnp_workflow_manager module automates the insertion of serial numbers into the controller's inventory database and immediately binds devices to the correct site layout. - - hosts: localhost gather_facts: false tasks: - name: Import and Provision Bare-Metal Switch via Plug-and-Play cisco.catalystcenter.pnp_workflow_manager: state: present configlist: - device_infolist: - serialNumber: "FOX2345X67Y" hostname: "BR01-ASW-02" platformId: "C9300-48UXM" authorize: true siteName: "Global/North America/Austin Office/Floor 2" Day 2: sd-access (SDA) fabric orchestration. Managing an SDA fabric requires precise configuration. The collection allows you to orchestrate the fabric entirely through code. Use cases include: * LAN automation: Automating underlay network deployments. * Fabric management: Programmatically managing SDA fabric sites, zones, and IP/SDA transits. * Virtual networks: Automating L2 VLANs and L3 Anycast Gateways, as well as seamlessly onboarding hosts and fabric devices. * Policy enforcement: Managing SDA extranet policies and application policies as code. Example: Instead of modifying configurations line by line across 500 switches, engineering teams can use Ansible to enforce global compliance tags. These tags trigger policies, dynamic network profiling, or group-based access-control policies within Catalyst Center. - - hosts: localhost gather_facts: false tasks: - name: Standardize PCI-Compliance Tags Across Controller Infrastructure cisco.catalystcenter.tag: state: present name: "PCI-DSS-Zone" description: "Applies Zero-Trust microsegmentation for POS terminals" register: tag_output - name: Output Operation Telemetry ansible.builtin.debug: var: tag_output.id Day N: software image management (SWIM) and assurance. Day N maintenance is critical for security and resilience. The collection transforms highly disruptive tasks into automated, scalable workflows: * SWIM automation: Automate the entire OS upgrade process. Playbooks can upload images, tag "golden" images by device family, and distribute and activate the images across the network. * Compliance and backups: Automatically check device compliance against Catalyst Center templates, remediate drift, and trigger scheduled configuration backups and restores. * Network assurance: Integrate automated troubleshooting by querying Catalyst Center for Device Health Score KPIs and ICAP settings, and execute Path Traces to identify routing or physical-layer issues. Example: The collection features hundreds of _info modules that extract system telemetry without raw command scraping. The following playbook fetches analytics on authentication health across an entire environment: - - hosts: localhost gather_facts: false tasks: - name: Collect Global AAA Service Analytics and Trend Data cisco.catalystcenter.aaa_services_summary_analytics: startTime: "1717804800000" # Epoch milliseconds timestamp endTime: "1717891200000" register: aaa_analytics - name: Assert Authentication Failure Rates are Below Thresholds ansible.builtin.assert: that: - aaa_analytics.failedRequests | int < 50 fail_msg: "AAA anomalies detected! Check Catalyst Center Assurance dashboard." Configuration generation and "state" Extraction. One of the most unique features of this collection is its Config Generator Roles, such as inventory_config_generator and sda_fabric_virtual_networks_config_generator. These roles allow platform engineers to query Catalyst Center and dynamically extract the current configuration state into structured data. This data can then be checked into a Git repository, enabling true GitOps workflows in which the Git repository remains the synchronized single source of truth for dynamic reporting and documentation. Engineering benefits: Automating Cisco Catalyst Center with Ansible. Integrating the cisco.catalystcenter collection with Red Hat Ansible Automation Platform (AAP) in your CI/CD or platform-engineering pipeline provides fundamental technical advantages over legacy scripting practices: * Eliminate "screen scraping": Legacy CLI automation depends on regular-expression tools such as TextFSM to convert CLI output into objects. If a Cisco IOS XE update changes a single whitespace character in show command output, your parser can break. This collection works exclusively with JSON structures natively supported by Catalyst Center APIs. * Adopt true infrastructure as code (IaC): Networks can be defined statefully in YAML files stored in a Git repository. A pull request that changes a site name or assigns a new configuration profile can trigger an AAP workflow, pushing changes reliably to production. * Synchronize multiple domains: Modern enterprise environments use platforms such as NetBox or ServiceNow as a single source of truth (SSoT). With Ansible, you can build unified workflows that fetch a newly allocated IP prefix from NetBox, register it as an enterprise IP pool through cisco.catalystcenter.ip_pool, and update a ServiceNow change ticket - all within a single orchestration run. * Abstract scale: A single Ansible task targeting the collection can execute a global policy update across thousands of downstream endpoints. The operator relies on Catalyst Center to handle the underlying concurrency, queuing, and edge-execution safety. Ready to build? Want to learn more? Explore Ansible for Catalyst Center on the Cisco Networking App Marketplace to see how automating Cisco Catalyst Center with Ansible can streamline configuration, compliance, and operations at scale. Developer advocate.