Industry Architect - New AI Cybersecurity Concept
Skills
- Proven experience building and deploying end-to-end AI/ML systems.
- Proficiency with modern ML frameworks (PyTorch, TensorFlow) and MLOps tooling.
- Fluency in cloud-native development (AWS/GCP) and containerized infrastructure.
- Strong backend/scalable systems experience and familiarity with CI/CD for ML.
- Excellent product intuition and ability to translate user needs into technical solutions.
- Outstanding research, analytical, and communication skills for synthesizing technical and market data.
Responsibilities
- Monitor and evaluate emerging AI-security technologies to identify novel product opportunities.
- Collaborate with engineering to design, build, and iterate on MVPs based on customer feedback.
- Define product roadmaps and support go-to-market strategy and positioning.
- Track competitors, market movements, and synthesize strategic insights.
- Prepare white papers, proposals, and investor materials for funding opportunities.
- Engage prospective customers to uncover unmet needs and validate product-market fit.
- Conduct primary and secondary research and translate findings into actionable recommendations.
Education
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or related field, or equivalent practical experience.
- Advanced degree (MS/PhD) in ML, AI, cybersecurity, or related field preferred but not required.
Benefits
- 100% employer-paid comprehensive healthcare (medical, dental, vision) for employees and family.
- 14 weeks paid maternity and paternity leave at normal pay.
- Unlimited PTO (with manager approval) and flexible remote work.
- Opportunity to shape a new company and work closely with experienced founders and operators.
- Independent role with significant autonomy and potential equity upside if spun out.
Average salary estimate
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