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
- Have familiarity with container orchestration platforms like Kubernetes
- Have experience working with NVIDIAs GPUs
- Are a self-starter, curious, and not afraid to ask when in doubt
- Measure yourself on results, not effort, and constantly seek to accomplish more by becoming more efficient
- Are able to build strong relationships across your entire organization
Nice to Have
- Experience using deep learning frameworks such as TensorFlow or PyTorch
- Experience deploying generative AI/ML applications
- Experience working with LLM architectures
- Experience designing, implementing and maintaining large-scale HPC infrastructure in cloud and hybrid environments
- Experience working with RESTful API and general service-oriented architecture
Salary Range Information
Based on market data and other factors, the salary range for this position is $194,000-$278,000 OTE. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
