About the Company
Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform 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 AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services.
The Opportunity
We seek a Partner Solutions Architect (Remote) to join our client's Channel and Alliances team. This critical role bridges technical excellence and business strategy, supporting partners in adopting and implementing cloud solutions for AI workloads.
What You'll Do
Build strong relationships with technical and business stakeholders, acting as a trusted advisor to drive adoption and loyalty
Collaborate with partners to understand their business requirements and develop scalable, secure cloud architectures and solutions
Design and document Infrastructure as Code solutions, technical documentation, and how-tos
Act as a bridge to product teams, providing partners feedback, relaying feature requests, and ensuring alignment with stakeholders' requirements
Deliver technical enablement sessions, workshops, and materials to ensure partners have the knowledge to succeed
Represent the organization at industry events and partner meetings, sharing expertise and insights on cloud technologies and trends
What You Bring
5+ years of experience in roles like Solutions Architect or Technical Account Manager with hands-on experience in cloud services and AI/ML workloads
Experience working with partner ecosystems, resellers, or technology alliances
Commitment to understanding partner needs and driving mutual success through tailored solutions
Customer-centric approach with a proven ability to build trust and foster long-term relationships
Ability to work independently and manage multiple projects simultaneously
Strong ability to explain technical concepts to technical and non-technical audiences
Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
Preferred Technical Skills
Networking, security, and systems architecture
Programming Languages: Python, Go, Java, C++
Infrastructure as Code (IaC): Terraform, Ansible
Orchestration: Kubernetes (K8s), Slurm
DevOps Tools: Git, Docker, Helm
Big Data Frameworks: Spark, Kafka, Hadoop
Databases: SQL, NoSQL, and vector databases
ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
Key Attributes for Success
Entrepreneurial mindset with a passion for AI
Self-starter who thrives in a fast-paced, evolving startup environment
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
Confident and articulate communicator
Why Join?
Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location)
Full medical benefits and life insurance: 100% coverage for health, vision, and dental insurance for employees and their families
401(k) match program with up to a 4% company match
Stock options plan in a publicly traded company
PTO and paid holidays
Flexible remote work environment
Reimbursement of up to $85/month for mobile and internet
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
Interviewing Process
Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&A)
Level 2: Virtual interview with the Hiring Manager (Skills assessment)
Level 3: Interview with the C-level (Final round)
Reference and Background Checks: Conducted post-interviews
Offer: Extended 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.
