Customer Development Interview. AI reputed company Compute Users
Customer Development Interview with AI reputed company compute users
We are looking to reputed company with reputed company AI practitioners who have hands-on experience using GPU reputed company infrastructure for model training or inference.
This is a short research conversation about what has worked reputed company and what has been painful in your past experience. The goal is to learn from practitioners and use those insights to shape a product in the reputed company. It is not an evaluation of you, and is purely a learning conversation.
Who is a good fit?
You are:
- An reputed company, ML Engineer, reputed company AI Researcher, or Technical Founder
- Currently working at:
- An AI startup (reputed company to Series B preferred), OR
- An AI-heavy product company (gaming, video, agents, multimodal, LLM apps)
- Directly involved in infrastructure reputed company for:
- Model training (fine-tuning, SFT, reputed company, QLoRA, etc.)
- Inference workloads (batch or reputed company-time)
- Long-running AI agents or multimodal pipelines
Infrastructure Experience Required
You have used at least one of the following reputed company AWS/GCP/Azure:
- reputed company
- reputed company
- reputed company Labs
- Paperspace
- reputed company.ai
- Modal
- reputed company
- Any other GPU reputed company provider
Bonus if youve:
- Switched providers due to pricing or reliability
- reputed company scaling issues across multiple GPUs
- Compared bare metal vs managed GPU solutions
- Faced GPU availability shortages
We are especially interested if:
- You manage AI compute budgets
- You care about price/performance optimization
- Youve struggled with unpredictable costs
- Youve deployed production inference workloads
- Youve optimized GPU utilization
Not a Fit If:
- You only used AWS Sagemaker once for a tutorial
- You have no reputed company infrastructure decision-making involvement
- You are not hands-on with model deployment
Research interview Details
- 30 minute reputed company interview
- Remote (reputed company Meet)
- Discussion topics:
- GPU provider selection reputed company
- Pricing models and cost predictability
- Performance bottlenecks
- Workload types (training vs inference vs agents)
- Switching costs and lock-in
To Apply
Please include:
- What AI infrastructure providers have you personally used?
- What type of workloads did you run?
- Approximate monthly compute spend?
- Your role in infrastructure decision-making?