[Hiring] Technical Account Manager @Lavendo

Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers. 

• Company Type: Publicly traded

• Product: AI-centric GPU cloud platform & infrastructure for training AI models

• Candidate Location: Remote anywhere in the US

Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration. They operate one of the most powerful commercially available supercomputers and are committed to sustainable AI infrastructure.

We are seeking a  Technical Account Manager (TAM) to support our client’s rapidly growing team. As a TAM, you will work closely with major AI-focused customers, helping them identify and resolve technical issues while managing large-scale AI deployments with hundreds to thousands of GPUs.

• Serve as the primary technical contact for customer issues, collaborating with support to troubleshoot and resolve complex problems

• Partner with the sales team to identify upsell opportunities and promote new products and advanced services

• Act as a bridge between customers and the product team, relaying feedback, feature requests, and product updates to enhance customer satisfaction

• Engage and negotiate with internal and external stakeholders to ensure alignment and resolution of customer challenges

• At least 5 years of experience as a Technical Account Manager, Cloud Solutions Architect, Customer Engineer, or a similar technical role focused on Cloud services

• Hands-on experience with IaC and configuration management tools (Terraform/Ansible), Kubernetes, and Python coding skills

• Understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers and libraries (CUDA, OpenCL)

• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)

• Ideally, Experience with HPC/ML orchestration frameworks (Slurm, Kubeflow)

• Ideally, Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) 

• Strong project management skills and experience mentoring technical teams

• Excellent communication skills and a customer-centric mindset

• Collaborative team player working effectively across different departments and cultures

• Results-oriented with a strong sense of ownership and accountability

• Continuous learner, eager to stay updated on the latest AI and cloud computing trends

• High ethical standards and integrity, with a commitment to responsible AI development

• Competitive compensation: $130,000-$175,000 per year (negotiable based on experience and location)

• Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families

• 401(k) plan with a 4% match program

• Stock options plan

• Flexible remote work environment

• Company-paid short-term, long-term disability, and life insurance coverage

• 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers

• Up to $85/month for mobile and internet

• Startup culture with stability: excitement and innovation of a startup backed by the resources of an established company

• Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon)

• Be part of a team that operates one of the most powerful commercially available supercomputers

• Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings

• Level 1 - Interview with the Talent Acquisition (General fit, Q&A)

• Level 2 - Interview with the Hiring Manager (Skills assessment)

• Level 3 - Interview with the C-level (Final)

• Reference and Background Checks: conducted after successful interviews

• Job Offer: provided to the selected candidate

We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.