BP Media · 6 hours ago
Fractional CTO - Cloud & AI Operations (AWS/GPU, Computer Vision)
United States
Contract
Remote
Director/ExecutivePower NIL (PNIL) empowers universities to confidently approve Name, Image, and Likeness (NIL) deals by transforming athlete exposure into defensible fair market value. They are seeking a Fractional CTO to own their AWS infrastructure and GPU compute operations for a computer-vision product, while leading a technical team and ensuring reliable and cost-controlled cloud operations.
Information Technology & Services
Responsibilities
Create and manage AWS environments (dev/stage/prod), set up guardrails, and keep the platform stable
Own deployments, CI/CD, monitoring/logging, alerting, backups, and incident response
Establish cost controls (budgets, alerts, optimization) and manage GPU spend proactively
Own AWS security & connectivity: IAM roles/policies, secrets management, VPC/security groups, audit trail, least-privilege access
Own GPU compute strategy on AWS: instance/service selection, provisioning, scaling approach, utilization, and reliability
Support production inference/training operations with runbooks, observability, and rollback plans
Optimize GPU cost/performance and ensure workloads 'work in production'
Lead technical demos and architecture reviews with external stakeholders (partners/customers)
Explain roadmap, tradeoffs, and system design clearly to non-technical audiences
Lead a small senior team (Full-Stack Engineer + AI Engineer) and set lightweight standards (code review, documentation, release process)
Understand CV/ML concepts well enough to guide the AI Engineer, make pragmatic decisions, and ensure production readiness
Align model work with infrastructure realities (latency, reliability, cost, monitoring)
Qualification
Required
Deep AWS + DevOps ownership in production (not just 'familiar with AWS')
Proven experience managing cloud cost and reliability tradeoffs
AWS security/networking fundamentals (IAM/VPC/secrets)
Operating GPU workloads on AWS (inference and/or training)
Ability to lead and execute in an early-stage environment
COMPUTER VISION
Preferred
MLOps experience (model versioning, deploy/rollback, monitoring)
IaC (Terraform/CDK/CloudFormation), containers/orchestration
Prior startup leadership (0→1 or early scale)
Benefits
Equity included
Company
BP Media
BP Media technology uses AI and computer vision to automatically identify athletes in live and recorded content, enabling teams, brands, and agencies to connect sponsorship exposure directly to individual players and turn every on-screen moment into measurable value.
Founded in 2024SF, US
2-10 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase