Senior Cloud Solutions Engineer

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

What You’ll Do

• Advocate for Lambda’s Products.
• Develop and maintain expertise in Lambda’s cloud products and services
• Demonstrate Lambda’s software and solutions to customers, partners and staff
• Create field enablement materials for technical audience, lead workshops and support product advocacy efforts 
• Provide technical feedback from customers to Lambda’s product and marketing teams
• Own the technical side of Lambda’s sales process.
• Partner with Lambda account executives to drive customer adoption and ensure successful delivery
• Evaluate and assess customers needs to deeply understand pain-points, bottlenecks and expected outcomes
• Recommend appropriate cloud services and configurations to design a cohesive solution that supports the customers applications and workflow
• Document proposal and designs in formats including but not limited to presentations, white-papers, diagrams, Bill of Materials and rack elevations
• Demonstrate expertise on Lambda’s cloud infrastructure 
• Build structured and purposeful learning into your work routine
• Develop and support internal Lambda community as a subject matter expert
• Be an expert at deploying AI/ML workloads on Lambda cloud
• Stay up to date on the latest deep learning trends, best practices and experiment with them using internal tools and resources
• Develop high quality processes and documentation
• Reinforce Lambda’s culture
• Contribute positively throughout the organization
• Maintain a high level of agility and responsiveness 
• Hyper-focused on customer satisfaction

You 

• Love learning both broadly and deeply
• Are a skilled communicator who can translate technical concepts into plain english from vague customer needs into technical requirements on the fly
• Are comfortable communicating with and crafting presentation collateral for customers, both internal and external, up to and including partnering with sales on customer interactions
• Identify as a subject matter expert in the cloud & hyperscale industry  
• Have 4+ years of experience as a product lead or as a solutions architect role supporting cloud infrastructure and services 
• Have 3+ years of experience designing, deploying and scaling cloud infrastructure
• Have 1+ year of experience working with cloud-based AI/ML services 
…