Solutions Architect (Pre-Sales) - AI Cloud Infrastructure
Lavendo, San Francisco, California, United States, 94199
About the Company
Our client is a fast-growing, publicly traded AI cloud infrastructure company with a global footprint spanning R&D hubs across North America, Europe, and Israel. Built by a world‑class team of engineers and AI researchers with deep expertise in hardware, software, and ML systems, they are building the foundational infrastructure that powers the next generation of AI‑driven businesses worldwide. Their platform enables companies of all sizes — from Fortune 500 enterprises to cutting‑edge AI startups and research institutions — to tackle real‑world AI challenges without the burden of massive infrastructure investments or the need to build large in‑house AI/ML teams. The Mission
To democratize access to world‑class AI infrastructure, empowering 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. The Opportunity
As a
Cloud Solutions Architect (Pre‑Sales)
specializing in Cloud Infrastructure and MLOps, you will be a key technical partner to some of the most innovative AI teams in the world. You'll work hands‑on with state‑of‑the‑art GPU infrastructure — including the latest NVIDIA hardware — helping customers design, deploy, and optimize AI workloads at scale. This is a high‑visibility role at the intersection of deep technical work and strategic customer engagement, with real influence over how customers experience and adopt the platform. What You'll Do
Serve as a trusted technical advisor to customers throughout the full pre‑sales and onboarding lifecycle
Lead PoCs, architectural workshops, presentations, and training sessions on GPU cloud technologies and best practices
Collaborate with customers to deeply understand their business requirements and translate them into scalable solution architectures
Design and document Infrastructure as Code solutions, reference architectures, and technical how‑to guides in collaboration with support engineers and technical writers
Help customers optimize ML pipeline performance, throughput, and scalability for efficient utilization of cloud resources
Act as a cross‑functional technical expert, bridging product, technical support, and marketing teams around customer needs
Represent the company at external events including hackathons, conferences, and webinars
What You Bring
5–10+ years of experience as a Cloud Solutions Architect, Systems/Network Engineer, Developer, or similar technical role focused on cloud computing
Strong hands‑on experience with IaC and configuration management tools (Terraform/Ansible preferred), Kubernetes, and Python
Solid understanding of GPU computing for ML training and inference workloads, including the GPU software stack (drivers, CUDA, OpenCL, etc.)
Excellent communication skills — able to explain complex technical concepts clearly to both engineering and business audiences
Customer‑centric mindset with a track record of building trusted advisor relationships
Legal authorization to work in the U.S. on a full‑time basis without visa sponsorship
Nice to Have
Hands‑on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)
Hands‑on experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
Familiarity with the cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
Key Success Drivers
Self‑starter who thrives in fast‑moving, ambiguous environments with a high degree of ownership
Collaborative by nature — able to work effectively across engineering, sales, and product teams
Results‑oriented with a strong sense of accountability and follow‑through
Creative problem‑solver who identifies opportunities where others see obstacles
Continuously curious — eager to stay ahead of the latest developments in AI and cloud infrastructure
Passionate about making world‑class AI infrastructure accessible to organizations of all sizes
Why Join?
Compensation & Benefits
Competitive compensation:
$225,000 – $315,000 OTE + equity , based on experience, skills, and location
100% company‑paid medical, dental, and vision insurance for employees and families
401(k) with up to 4% company match and immediate vesting
20 weeks paid parental leave for primary caregivers; 12 weeks for secondary caregivers
Remote work reimbursement up to $85/month for mobile and internet
Company‑paid short‑term, long‑term disability, and life insurance
Flexible remote work environment
Why This Role
Work hands‑on with cutting‑edge AI infrastructure and the latest NVIDIA GPU technology
Contribute to one of the most powerful commercially available AI supercomputing platforms
Join a team that operates with genuine technical depth, speed, and ownership
Abundant opportunities for professional growth in a fast‑scaling global company
Be part of a mission‑driven company building the infrastructure that powers the global AI economy
Interviewing Process
Level 1:
Talent Acquisition (General fit, Q&A)
Level 2:
Hiring Manager (Technical Deep‑dive)
Level 3:
Technical Assignment
Final Round:
Interview with Leadership
Reference & Background Checks:
Conducted post‑interviews
Offer:
Extended to the selected candidates
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.
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Our client is a fast-growing, publicly traded AI cloud infrastructure company with a global footprint spanning R&D hubs across North America, Europe, and Israel. Built by a world‑class team of engineers and AI researchers with deep expertise in hardware, software, and ML systems, they are building the foundational infrastructure that powers the next generation of AI‑driven businesses worldwide. Their platform enables companies of all sizes — from Fortune 500 enterprises to cutting‑edge AI startups and research institutions — to tackle real‑world AI challenges without the burden of massive infrastructure investments or the need to build large in‑house AI/ML teams. The Mission
To democratize access to world‑class AI infrastructure, empowering 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. The Opportunity
As a
Cloud Solutions Architect (Pre‑Sales)
specializing in Cloud Infrastructure and MLOps, you will be a key technical partner to some of the most innovative AI teams in the world. You'll work hands‑on with state‑of‑the‑art GPU infrastructure — including the latest NVIDIA hardware — helping customers design, deploy, and optimize AI workloads at scale. This is a high‑visibility role at the intersection of deep technical work and strategic customer engagement, with real influence over how customers experience and adopt the platform. What You'll Do
Serve as a trusted technical advisor to customers throughout the full pre‑sales and onboarding lifecycle
Lead PoCs, architectural workshops, presentations, and training sessions on GPU cloud technologies and best practices
Collaborate with customers to deeply understand their business requirements and translate them into scalable solution architectures
Design and document Infrastructure as Code solutions, reference architectures, and technical how‑to guides in collaboration with support engineers and technical writers
Help customers optimize ML pipeline performance, throughput, and scalability for efficient utilization of cloud resources
Act as a cross‑functional technical expert, bridging product, technical support, and marketing teams around customer needs
Represent the company at external events including hackathons, conferences, and webinars
What You Bring
5–10+ years of experience as a Cloud Solutions Architect, Systems/Network Engineer, Developer, or similar technical role focused on cloud computing
Strong hands‑on experience with IaC and configuration management tools (Terraform/Ansible preferred), Kubernetes, and Python
Solid understanding of GPU computing for ML training and inference workloads, including the GPU software stack (drivers, CUDA, OpenCL, etc.)
Excellent communication skills — able to explain complex technical concepts clearly to both engineering and business audiences
Customer‑centric mindset with a track record of building trusted advisor relationships
Legal authorization to work in the U.S. on a full‑time basis without visa sponsorship
Nice to Have
Hands‑on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)
Hands‑on experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
Familiarity with the cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
Key Success Drivers
Self‑starter who thrives in fast‑moving, ambiguous environments with a high degree of ownership
Collaborative by nature — able to work effectively across engineering, sales, and product teams
Results‑oriented with a strong sense of accountability and follow‑through
Creative problem‑solver who identifies opportunities where others see obstacles
Continuously curious — eager to stay ahead of the latest developments in AI and cloud infrastructure
Passionate about making world‑class AI infrastructure accessible to organizations of all sizes
Why Join?
Compensation & Benefits
Competitive compensation:
$225,000 – $315,000 OTE + equity , based on experience, skills, and location
100% company‑paid medical, dental, and vision insurance for employees and families
401(k) with up to 4% company match and immediate vesting
20 weeks paid parental leave for primary caregivers; 12 weeks for secondary caregivers
Remote work reimbursement up to $85/month for mobile and internet
Company‑paid short‑term, long‑term disability, and life insurance
Flexible remote work environment
Why This Role
Work hands‑on with cutting‑edge AI infrastructure and the latest NVIDIA GPU technology
Contribute to one of the most powerful commercially available AI supercomputing platforms
Join a team that operates with genuine technical depth, speed, and ownership
Abundant opportunities for professional growth in a fast‑scaling global company
Be part of a mission‑driven company building the infrastructure that powers the global AI economy
Interviewing Process
Level 1:
Talent Acquisition (General fit, Q&A)
Level 2:
Hiring Manager (Technical Deep‑dive)
Level 3:
Technical Assignment
Final Round:
Interview with Leadership
Reference & Background Checks:
Conducted post‑interviews
Offer:
Extended to the selected candidates
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.
#J-18808-Ljbffr