Industry Architect – AI Cybersecurity
Red Cell Partners
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $250,000 - $300,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudGoogle Cloud PlatformPyTorchTensorflow
About the role
- Monitor and evaluate emerging technologies at the frontier of AI security to identify novel product approaches.
- Collaborate with engineering to develop and test MVPs in-market, iterating based on customer feedback and market insights.
- Support the development of product roadmap development and go-to-market strategies.
- Track competitive solutions, positioning, and market movements.
- Prepare white papers, proposals and other materials for funding opportunities.
- Synthesize findings into actionable insights and recommendations.
- Engage prospective customers to uncover unmet needs and gaps in the current vendor eco-system.
- Conduct primary and secondary research to validate product-market fit.
Requirements
- Entrepreneurial mindset: scrappy, resourceful, and biased toward action
- Proven experience building and deploying AI/ML systems end-to-end.
- Experience with modern ML frameworks (e.g., PyTorch, TensorFlow, etc.) and MLOps tools.
- Fluency in cloud-native development (AWS/GCP), containerization, and scalable backend systems.
- Strong product intuition and ability to translate user needs into technical solutions.
- Exceptional research, analytical, and communication skills, with the ability to synthesize complex technical and market data into clear, actionable insights and strategic recommendations.
Benefits
- 100% employer-paid, comprehensive health care including medical, dental, and vision for you and your family.
- Paid maternity and paternity for 14 weeks at employees' normal pay.
- Unlimited PTO, with management approval.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI securityAI/ML systemsMVP developmentproduct roadmap developmentgo-to-market strategiesprimary researchsecondary researchproduct-market fitML frameworksMLOps tools
Soft skills
entrepreneurial mindsetresourcefulnessaction-orientedproduct intuitionanalytical skillscommunication skillssynthesis of complex datastrategic recommendations