Solutions Architect (Pre-Sales) - AI Cloud Infrastructure

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.

Compensation Range: $225K - $315K