- Shape the future of AI startups with cutting-edge cloud infrastructure
- Work closely with founders and engineers building next‑gen AI products
About Our Client
Our client is a leading global cloud and AI infrastructure provider with a rapidly growing presence in the U.S. startup ecosystem. They offer a comprehensive, open, and cost-efficient AI stack designed to support cutting-edge innovation across generative AI, machine learning, and large-scale inference.
Job Description
- Build and own relationships with AI startup founders, CTOs, engineers, and product leaders across the U.S.
- Gain a deep understanding of customer technical architectures and business models, including LLM fine-tuning, RAG pipelines, AI agent orchestration, computer vision, and generative AI applications.
- Position the company's AI platform-models, managed AI services, GPU-optimized infrastructure, scalable storage, and serverless inference-as the optimal solution for performance, flexibility, and cost.
- Drive customer adoption and expansion from early pilots to scaled production, with a strong focus on AI-related usage (GPU hours, model hosting, API consumption).
- Partner closely with Solutions Architects and AI specialists to design differentiated solutions addressing startup challenges such as efficient training, low-latency inference, and global deployment.
- Guide customers through competitive evaluations versus major cloud providers, articulating advantages in openness, pricing, and architectural flexibility.
- Represent the company at AI conferences, startup accelerators, incubators, and venture capital ecosystem events.
- Act as the voice of the customer, sharing market and developer feedback with internal product and engineering teams to improve tooling and experience.
The Successful Applicant
Required
- Bachelor's degree in Computer Science, Engineering, or a related technical discipline (or equivalent practical experience).
- 3+ years of experience in customer-facing technical sales, solutions engineering, or developer relations within cloud, AI/ML, or infrastructure.
- Strong understanding of modern AI stacks, including transformers, fine-tuning, quantization, vector databases, inference optimization, and MLOps.
- Ability to clearly communicate complex technical concepts to both technical and non-technical audiences.
- Excellent interpersonal skills and comfort operating in fast-paced, founder-led startup environments.
- Willingness to travel extensively (approximately 50%) across the U.S.
Preferred
- Experience working at or closely with AI startups.
- Hands-on experience deploying AI models on major cloud platforms.
- Familiarity with open-weight models, model serving frameworks, and inference cost/performance tradeoffs.
- Demonstrated passion for AI innovation through research, experimentation, or side projects.
- An established network within the U.S. AI, startup, or VC ecosystem.
What's on Offer
- Competitive base salary depending on location, skills, and experience.
- Opportunity to work at the forefront of AI innovation with high-growth startups.
- Significant autonomy, customer visibility, and influence on product direction.
- Exposure to leading-edge AI technologies and a global cloud platform.
- At-will employment with compensation subject to adjustment based on performance and market factors.
Contact:
Quote job ref: JN-042026-7007272
