Lead and scale the Forward Deployed Engineering and Technical Support teams, defining engagement models and operating standards.
Own the FDE engagement lifecycle from technical discovery to deployment guidance, ensuring customer value.
Drive operational discipline across support tools and partner with Sales, Product, and Engineering on roadmap alignment.
Runpod is the AI Developer Cloud. More than one million developers use the platform to experiment, train, deploy, and scale AI, and we are a small, remote-first team that has processed over 20 billion inference requests and closed a $100M Series A.
Lead the design and operation of GPU infrastructure for AI workloads.
Manage Kubernetes-based environments and optimize for AI training and inference.
Define operational standards, implement monitoring, and collaborate with AI engineering teams.
ELEKS is a software engineering company that partners with enterprises to accelerate digital transformation. They have a global team of over 2,000 professionals and foster a culture of innovation and collaboration.
Lead engineering deployment, scaling, and operations of AI compute clusters with GPU fleets and bare metal environments.
Drive reliability, monitoring, automation, and incident response for AI infrastructure.
Collaborate with AI/ML, networking, and product teams to align infrastructure with business needs.
Our partner is a fast-growing cloud environment focused on building large-scale AI infrastructure. They seek a senior leader to manage engineering operations for advanced AI compute clusters.
Participate in sales meetings, provide architectural recommendations, and build proof-of-concept solutions for onboarding high-spending customers.
Troubleshoot and resolve complex technical issues using code analysis, scripting, and log analysis.
Create and maintain technical documentation and deliver training sessions, webinars, and demos.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. We are a small, remote-first team that takes ownership seriously, moves fast, and ships work relied on by more than a million developers daily.
Design, operate, and improve reliable infrastructure for AI training and inference workloads.
Build monitoring, alerting, runbooks, and incident-response practices for easier operations.
Partner with ML, research, and platform teams to translate workload needs into infrastructure improvements.
Boson AI builds production-grade AI systems that make communication with AI more natural, capable, and useful. The team is focused on infrastructure reliability, operating GPU clusters and networks for AI workloads.
Design and deliver hands-on AI training across Development, QA, and DevOps.
Own and continuously evolve the training curriculum to keep it current with emerging AI tools.
Review trainees' submitted code and exercises, providing direct, practical feedback.
Smart Working connects skilled professionals with global teams for full-time remote roles, breaking down geographic barriers. They are a highly-rated workplace on Glassdoor that values employee growth and well-being.
Lead engineers deploying, operating, and optimizing AI compute clusters at scale.
Oversee cluster reliability, GPU fleet operations, and incident response.
Coordinate with cross-functional teams to ensure cluster capabilities meet AI workloads.
Vultr makes high-performance cloud infrastructure easy to use, affordable, and locally accessible for global enterprises and AI innovators. It is the world’s largest privately-held cloud infrastructure company, trusted by hundreds of thousands of customers across 185 countries.
Translate Megaport's platform capabilities into clear, deployable architectures for enterprise customers.
Develop detailed reference architectures and deployment blueprints across connectivity, compute, and storage solutions.
Partner with Product and Engineering teams to create field-ready technical enablement materials.
Megaport is the global leader in Network as a Service (NaaS), enabling businesses to connect to cloud, data centers, and each other. With over 600 employees across Asia-Pacific, Europe, and the Americas, we foster a collaborative, supportive, and fun culture that values curiosity and teamwork.
Partner with Account Executives to map out and break into net-new enterprise accounts, sovereign GPU clouds, and high-performance computing clusters.
Design high-performance, multi-tenant data pipelines for massive GPU fabrics, optimizing data node interactions.
Lead deep-dive architectural workshops and translate complex engineering concepts into ROI-driven narratives for C-level executives.
Everpure transcends traditional storage to deliver the Enterprise Data Cloud, a unified architecture for AI, Deep Learning, and HPC projects. The company has been named Fortune's Best Workplaces in Technology and is certified as a Great Place to Work, fostering a culture of innovation, growth, and teamwork.
Build and operate production-grade model serving infrastructure using vLLM, TGI, or Triton frameworks.
Design and implement auto-scaling, multi-model architectures, and intelligent request routing for ML inference.
Optimize GPU utilization, memory efficiency, and observability to ensure low-latency, cost-effective systems.
They are a distributed cloud infrastructure startup building AI-native cloud services with GPU-powered compute. The company is well-funded, fast-scaling, and operates in a remote-first environment with a focus on sustainability and decentralization.
Design and build the orchestration layer using Kubernetes, Slurm, or comparable technologies.
Build customer-facing platform APIs, CLIs, web portals, and SDKs.
Drive infrastructure-as-code, multi-tenant isolation, and platform reliability.
GPU One provides GPU-as-a-Service (GPUaaS), turning raw GPU infrastructure into a usable cloud platform. The company is building a multi-tenant orchestration layer to serve customers at scale, with a focus on platform engineering and AI infrastructure.
Monitor, operate, and support production AI infrastructure platforms and resolve incidents.
Investigate performance, availability, and reliability issues across infrastructure and platform components.
Collaborate with engineering teams, hardware vendors, and data center personnel to resolve technical issues.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. It is a Silicon Valley leader with passionate, talented colleagues, offering a competitive compensation package and strong benefits.
Develop core positioning, messaging, and value propositions for AI infrastructure and cloud-native platform portfolio.
Produce high-quality technical content including solution briefs, white papers, blog posts, and reference architectures.
Support product launches, sales enablement, competitive intelligence, and go-to-market strategy.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build scalable infrastructure for AI and data-intensive applications. With deep expertise in open source and Kubernetes orchestration, Mirantis empowers platform engineering teams worldwide.
Lead technical enablement programs for partners to implement Chainguard Containers and Libraries.
Develop partner-facing technical content like integration guides and reference architectures.
Act as technical liaison between partner ecosystem and Product and Engineering teams.
Chainguard is the trusted source for open source, delivering hardened, secure builds of open source software. The company is venture-backed by leading investors and serves Fortune 500 enterprises and global industry leaders.
Own the strategy and delivery of training programs that build knowledge and capability for clients and internal teams.
Design engaging learning experiences across cybersecurity, AI, and usability topics, creating original content like decks, guides, and curricula.
Mentor team members across departments to build internal security and training capability and confidence over time.
Personified is a managed IT and cybersecurity services provider for campaigns, non-profits, and mission-aligned organizations. Their mission is to lead technology and security programs for clients, enabling them to focus on mission-critical work, and they are looking for top IT talent as they continue to scale their team.
Collaborate with Product Management and Marketing to design and deliver world-class enablement programmes for the Solutions Consulting organization.
Build engaging training content and lead high-impact Bootcamps, workshops, and coaching sessions for technical audiences globally.
Optimize the onboarding experience for Solutions Consulting to accelerate field ramp time, partnering seamlessly with cross-functional teams.
Zscaler accelerates digital transformation to secure customers in the AI age, leveraging the world's largest security data lake for its Zero Trust Exchange platform. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, with a focus on impact over activity.
Bridge the gap between technical expertise and sales acumen to communicate complex technical solutions to potential clients.
Lead technical demonstrations, proof-of-concepts, and workshops tailored to client challenges.
Collaborate cross-functionally with sales teams to drive revenue growth and solution strategy.
Armada is a hyperscaler for the edge, delivering modular AI infrastructure from first deployment to AI factory. With nearly half a billion dollars in funding, backed by top investors such as Microsoft, Founders Fund, and BlackRock, Armada is one of Fast Company's Most Innovative Companies and a CNBC Disruptor 50.
Deploy Hermes Agent Enterprise across cloud, on-premises, and hybrid customer environments.
Integrate enterprise APIs, internal data sources, and authentication systems into agent workflows.
Partner with customers to scope requirements, implement solutions, and iterate based on feedback.
Nous Research is an AI research company that develops advanced AI agents for enterprise deployment. The team is entrepreneurial and focuses on solving complex technical challenges through customer collaboration.
Design and deliver advanced technical sessions and 1:many technical enablement for platform, DevOps, and security audiences.
Build scalable PoC frameworks and reusable technical assets to drive deep product adoption beyond initial onboarding.
Serve as a post-sales technical subject matter expert and escalation point for complex architecture and non-support SE questions.
Docker is a developer tooling platform trusted by over 20 million monthly users, enabling software building, sharing, and running through products like Docker Desktop and Docker Hub. The company is a globally distributed, remote-first team of hundreds focused on containerization and AI-driven development workflows.
Facilitate live, virtual training programs focused on practical AI skill-building for organizations.
Lead interactive 60-minute classes for groups of 25-100+ learners from mid-market to large enterprises.
Apply hands-on AI expertise using tools like ChatGPT, Claude, and Gemini for real-work applications.
Hone is an employee development platform specializing in live leadership training and AI-powered coaching. Their community of facilitators spans 4 continents and more than 10 countries, uniting AI practitioners, technologists, and educators.