Mirantis

Product Manager

• Sales Enablement & Field Support: Build and maintain the core k0rdent Enterprise pitch: positioning, messaging, use cases, pricing explainers, and competitive differentiation. Produce the materials sellers need to open and close deals — slide decks, one-pagers, battle cards, ROI models, demo scripts, and migration guides. Partner directly with the sales team; show up to customer meetings, support discovery calls, and help close strategic accounts. Own the talk track. Make it simple, repeatable, and field-tested.
• Go-to-Market Execution: Take ownership of GTM plans for new capabilities and releases - coordinate across product, marketing, and sales to land launches with impact. Engage analysts, write technical content, and build the external narrative around k0rdent Enterprise. Develop and maintain a clear point of view on the competitive landscape - Rancher, Red Hat, SpectroCloud, Rafay, hyperscalers - and keep the field armed with current intelligence. Track win/loss patterns and feed insights back into positioning and roadmap conversations.
• Customer & Market Insight: Engage directly with platform engineers, DevOps teams, and SREs to understand pain points and buying drivers. Identify the use cases where k0rdent Enterprise wins - multi-cloud orchestration, IDP delivery, regulated/air-gapped environments - and make those the center of the GTM story. Translate customer feedback into clear, prioritized input for engineering and product leadership.
• Revenue Responsibility: Take ownership of the commercial performance of the sales motion you enable. You are not a support function - you are accountable for helping the team hit numbers. Track pipeline, conversion, and deal velocity as leading indicators of whether your GTM is working. Work with sales leadership to identify gaps in coverage, messaging, or materials that are causing deals to stall.

Backend Engineer

• Own the technical relationship with a small number of strategic customers (typically 5–8), acting as their primary technical point of contact across MOSK, MKE, k0rdent, and the broader Mirantis portfolio
• Build a deep working knowledge of each customer’s architecture, use cases, internal platform strategy, and adjacent toolchain; maintain a living technical account plan for each
• Drive deeper product integration by identifying opportunities to expand Mirantis usage into new workloads, clusters, environments, and teams — and by working with the customer to remove the technical blockers that stand in the way
• Lead technical alignment between the customer’s engineering and platform teams and Mirantis Product and Engineering; translate customer requirements into credible product input and translate roadmap into customer-relevant guidance
• Run regular technical cadences — architecture reviews, upgrade planning sessions, roadmap briefings, and health checks — both remotely and on-site at customer locations
• Partner closely with Support on high-impact cases for your accounts, alerting duties and hush severity issues, providing account context, accelerating resolution, and closing the loop on recurring issues through product and operational improvements
• Advocate internally for the customer across Product, Engineering, Support, and Customer Success; ensure their voice is represented in roadmap, release, and prioritisation discussions
• Collaborate with the account team — Technical Account Manager, Account Executive, and Solutions Engineer — without duplicating their remit; the boundary is clear: they own commercial, delivery, and pre-sales; you own sustained technical depth post-sale
• Contribute back to internal enablement, reference architectures, and best-practice guidance so patterns learned in one account benefit the wider customer base

Principal Customer Engineer, Openstack, Kubernetes

Solutions Engineer

• Work onsite with strategic, enterprise class customers, delivering solutions architecture consulting, technical guidance, knowledge transfer and establish “trusted advisor status”
• Lead proof of concept and pilot implementations of the platform within key customer accounts
• Present platform strategy, concepts, and roadmap to technical leaders with the customer’s organization
• Develop best practices and guidance for containerizing various application platforms
• Serve as customer advocate to other Mirantis teams including Product Development, Sales, and Marketing
• Help enable partners to develop service delivery skills through mentorship, training, engagement shadowing etc.
• Help propagate skills and experience through development of repeatable assets (methodologies, blueprints, tools, white papers, knowledge articles etc.)

Solutions Architect

Infrastructure Engineer

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
• Act as a senior escalation point for operational teams during critical service-impacting events.
• Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
• Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues.
• Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
• Lead root cause analysis activities and drive long-term corrective actions.
• Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges.
• Participate in major incident management and service restoration activities.
• Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
• Drive improvements in platform reliability, observability, monitoring, and operational processes.
• Identify opportunities to automate repetitive operational activities and improve operational efficiency.
• Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions.
• Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI.
• Evaluate emerging technologies and operational practices to improve service delivery and platform resilience.
• Mentor and support AI Infrastructure & Platform Operations Engineers.
• Share technical knowledge through documentation, training sessions, and operational reviews.
• Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices.
• Help define operational processes, escalation paths, and service reliability standards.
• Act as a trusted technical advisor during operational planning and service improvement initiatives.

Senior AI Infrastructure, Platform Operations Engineer

Ecommerce

• Own the day-to-day health of the Mirantis Webstore, AWS Marketplace, and Azure Marketplace listings — accuracy, availability, and completeness.
• Coordinate product onboarding, updates, and deprecations across all three channels: pricing, SKUs, entitlements, descriptions, and media assets.
• Manage private offer workflows (AWS/Azure) end-to-end: initiation, approval, fulfillment, and post-sale handoff to Customer Success.
• Liaise with AWS/Azure partner teams on listing certification, metering integration, and marketplace program requirements.
• Maintain a consolidated project tracker (Jira) across all active eCommerce initiatives — launches, integrations, catalog changes, and process improvements.
• Run sprint planning, status meetings, and async standups; surface blockers early with clear context and a proposed path to resolution.
• Author and maintain RAID logs, decision records, and stakeholder updates throughout delivery.
• Coordinate UAT cycles: define test cases, assign testers, consolidate results, and own sign-off.
• Drive process automation with an AI-first mindset — identify repetitive workflows and lead their automation using available AI tooling, including Claude Enterprise.
• Elicit, document, and validate functional requirements for eCommerce initiatives: listings, checkout flows, entitlement logic, pricing models, and integration changes.
• Produce BRDs, user stories with acceptance criteria, process maps, and data flow diagrams that Engineering and QA can act on without clarification loops.
• Map end-to-end data flows across the commerce stack — Webstore → NetSuite ERP → AWS/Azure metering APIs — and document integration gaps with proposed solutions.
• Serve as the subject-matter expert on AWS and Azure Marketplace technical requirements: metering, SaaS contract integration, and private offer mechanics.
• Produce weekly and monthly status reports for Business Apps & Integration leadership, Finance, and Sales — covering channel activity, launch status, fulfillment health, and key commerce metrics.
• Build and maintain dashboards (Looker / Snowflake / Google Sheets) tracking GMV, conversion, average order value, fulfillment SLA, and entitlement activation.
• Act as the primary coordination point with Finance — align on order volumes, entitlement provisioning, and period-close data requirements.
• Partner with Sales to provide marketplace deal analytics and fulfillment visibility that supports pipeline reviews and forecasting.
• Document and maintain SOPs for recurring commerce operations: listing updates, promo setup, refund processing, and entitlement provisioning.

eCommerce Business Analyst – Project Coordinator

Data Analyst

• Gather and document requirements from internal stakeholders
• Define, track, and report on key performance indicators (KPIs)
• Translate business questions into data models, queries, and dashboards
• Prepare clear reports and present findings to technical and non-technical audiences
• Help build and maintain ELT pipelines from Segment into Snowflake
• Monitor and validate event data flowing through Segment — checking completeness, consistency, and correct destination mapping
• Assist with data quality audits across the Segment → Snowflake → Looker stack
• Investigate and document data anomalies and pipeline failures
• Support data model development and maintenance in Snowflake
• Build dashboards and reports in Looker
• Write and optimize SQL queries against Snowflake
• Assist with basic LookML development: views, explores, and measures
• Apply data visualization best practices for clarity and audience fit
• Use AI assistants (Claude, Copilot, ChatGPT) to speed up SQL writing, documentation, and analysis
• Apply text-to-SQL and LLM-based tools for faster data exploration
• Prototype basic AI features: anomaly detection and automated report summarization
• Contribute ideas for AI and automation adoption within the team
• Track tasks and participate in Agile sprints using Jira
• Use Git/GitHub for version control of SQL, LookML, and Python scripts
• Participate in code and dashboard reviews
• Document data models, event schemas, metric definitions, and pipeline logic

Intern – Data Analyst

Software Engineer

• Build and maintain integrations between internal systems (CRM, ITSM, ERP) using REST and GraphQL APIs
• Develop data pipelines to move, transform, and sync data across platforms
• Work with iPaaS tools such as Make, Zapier, Boomi, or MuleSoft
• Debug integration failures and data issues across distributed systems
• Write clean, documented code in Python and/or JavaScript
• Connect LLM APIs (Claude, OpenAI) into internal workflows and business applications
• Build MCP connectors to enable AI agents to interact with enterprise systems
• Help design and test multi-agent workflows using LangChain, AutoGen, or CrewAI
• Prototype AI-native patterns: document parsing, ticket classification, semantic search, and RAG pipelines
• Monitor AI pipelines for accuracy and unexpected behavior; iterate based on results
• Write tests to validate integration and pipeline behavior
• Participate in code reviews — both giving and receiving structured feedback via GitHub pull requests
• Apply basic security practices: secret management, input validation, OAuth2 scopes, and least-privilege API access
• Identify and flag common integration security risks such as exposed credentials, insecure endpoints, and excessive data exposure
• Document API contracts, data mappings, and configurations
• Maintain runbooks and contribute to the internal knowledge base.

Intern – Integration Developer

Business Analyst

• Gather and document business and functional requirements through interviews, workshops, document analysis, and workflow reviews
• Break projects into actionable tasks with clear timeframes, owners, and goals
• Schedule and facilitate regular team meetings; capture decisions, action items, and next steps
• Prepare clear documentation for internal teams and key stakeholders, leveraging AI writing and summarization tools to improve quality and efficiency
• Monitor project progress, proactively flag risks, and help drive issues to resolution
• Maintain and update project reports, dashboards, and status trackers on a regular cadence
• Use AI-assisted tools to analyze project data, identify patterns, and surface actionable insights
• Conduct acceptance testing of newly developed features and functionality
• Serve as a first point of contact for customers seeking technical assistance via phone, email, or web portal
• Troubleshoot technical issues systematically, using AI-powered diagnostic and knowledge base tools where applicable, and escalate unresolved cases to the appropriate support tier or engineering team
• Track and manage open issues through to resolution within agreed SLAs
• Provide timely, accurate, and professional responses to customers throughout the support lifecycle
• Verify that customer systems are fully functional following issue resolution
• Log all events, problems, and resolutions accurately in the ticketing system
• Contribute to the internal knowledge base by writing technical notes and user-facing documentation, using AI tools to maintain consistency and clarity
• Work closely with developers, QA engineers, and system engineers to support quality product delivery
• Apply basic prompt engineering techniques to get effective results from AI assistants in day-to-day tasks
• Build and maintain positive working relationships with customers and internal stakeholders.

Intern – Support Specialist, Business Analyst

Support Engineer

• Proactively/Reactively troubleshoot customer environments based on Linux, OpenStack, Kubernetes, networking and other cloud technologies, detect, report and resolve issues.
• Alert Management.
• Learn and troubleshoot MOSK (Mirantis Openstack on Kubernetes)
• Resolve and Handle/Triage IaaS related needs in customer datacenters.
• Reproduce customer issues in labs where needed, confirm bug reports, provide detailed information to the development team.
• Work closely with the development team: discuss customer issues, suggest improvements, fix product bugs, etc.
• Own escalations end-to-end by routing issues to the appropriate teams, including OpenStack/ceph storage, networking, hardware, and infrastructure, and product engineering while maintaining accountability and follow-through.
• Participate in weekend on call rotation and holiday coverage
• Communicate urgently, clearly, and in detail with customers during incidents via email and remote session, providing accurate status updates and guiding them through troubleshooting and resolution
• Work with AI tools to increase efficiency and problem solving tasks for customers.
• Troubleshooting server issues- DCOPs issues, Firmware upgrading, Iso, OS, Dell, Lenovo, ST Micro
• Work to troubleshoot any DC networking asks/upgrades, triaging where applicable.

Technical Support Engineer – Kubernetes, Openstack

Product Marketing

• Develop and maintain core positioning, messaging frameworks, and value propositions for Mirantis’ AI infrastructure and cloud-native platform portfolio.
• Translate highly technical product capabilities — GPU cluster orchestration, multi-cluster Kubernetes management, MLOps pipelines — into audience-specific narratives for practitioners, platform engineers, and C-suite buyers.
• Own the competitive intelligence function: track competitors including Red Hat OpenShift AI, NVIDIA Base Command, Rancher/SUSE, VMware Tanzu, and emerging AI cloud providers; produce battlecards, comparisons, and win/loss analysis.
• Produce a steady cadence of high-quality technical content: solution briefs, white papers, blog posts, use case studies, reference architectures, and demo scripts.
• Partner with solution architects and product managers to develop technical content that educates buyers on AI infrastructure patterns, including LLM inference at scale, GPU scheduling, and developer platform self-service.
• Support demand generation campaigns with compelling assets aligned to key personas: AI/ML engineers, platform ops teams, and infrastructure decision-makers.
• Build and maintain sales enablement materials, including pitch decks, battlecards, objection-handling guides, and ROI frameworks.
• Partner with solution architects and sales teams to distill field learnings into sharper messaging and better-targeted content.
• Support product launches with go-to-market plans, launch kits, and internal training materials.
• Monitor trends across the AI infrastructure, cloud-native, and open-source ecosystems to surface market insights that inform GTM strategy.
• Support analyst and media briefings; contribute to Mirantis’ positioning in key industry conversations and reports.
• Represent Mirantis’ platform perspective at industry events, webinars, and community forums as a subject matter resource.

Technical Product Marketer

• Proactively/Reactively troubleshoot customer environments based on Linux, OpenStack, Kubernetes, networking and other cloud technologies, detect, report and resolve issues.
• Alert Management.
• Learn and troubleshoot MOSK (Mirantis Openstack on Kubernetes)
• Resolve and Handle/Triage IaaS related needs in customer datacenters.
• Reproduce customer issues in labs where needed, confirm bug reports, provide detailed information to the development team.
• Work closely with the development team: discuss customer issues, suggest improvements, fix product bugs, etc.
• Own escalations end-to-end by routing issues to the appropriate teams, including OpenStack/ceph storage, networking, hardware, and infrastructure, and product engineering while maintaining accountability and follow-through.
• Participate in weekend on call rotation and holiday coverage
• Communicate urgently, clearly, and in detail with customers during incidents via email and remote session, providing accurate status updates and guiding them through troubleshooting and resolution
• Work with AI tools to increase efficiency and problem solving tasks for customers.
• Troubleshooting server issues- DCOPs issues, Firmware upgrading, Iso, OS, Dell, Lenovo, ST Micro
• Work to troubleshoot any DC networking asks/upgrades, triaging where applicable

Technical Support Engineer – Openstack, Kubernetes

Platform Engineer

• Monitor, operate, and support production AI infrastructure platforms.
• Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
• Support NVIDIA GPU infrastructure and associated platform services.
• Monitor and troubleshoot Kubernetes-based environments.
• Investigate performance, availability, and reliability issues across infrastructure and platform components.
• Collaborate with engineering teams, hardware vendors, datacenter personnel, and service delivery teams to resolve technical issues.
• Participate in incident response, root cause analysis, and operational improvement activities.
• Contribute to improvements in monitoring, observability, automation, and operational processes.
• Maintain operational documentation, runbooks, and knowledge articles.