Solutions Engineer AI Security
$300,000–$300,000 year
RemoteUnited States
United StatesRemoteFull Time$300,000–$300,000 yearLarge
Full TimeLarge
Job Summary
Own technical discovery, product demos, Proof of Concepts (POCs), and evaluations with enterprise security and AI teams. Manage the full lifecycle of customer onboarding, including integration architecture and production readiness. Build reusable solutions, integrations, and technical content that helps scale go-to-market efforts. Advise customers on AI security best practices, risk assessments, and secure deployment patterns. Act as a critical feedback loop between the customer and our product roadmap. Serve as the CTO of your territory while remaining hands-on with new technologies.
Required Qualifications
- 5-10 years in cybersecurity
- 5-10 years in enterprise sales or customer-facing roles
- 2+ years of experience with AI or relevant emerging technologies
- Hands-on experience with cloud platforms (AWS, Azure, GCP)
- Experience with API-driven architectures
- Basic programming (reading/troubleshooting code)
- Comfort working in hyper-fluid, fast-paced environments where innovation drops overnight
- Familiarity with platforms like OpenAI, Anthropic, or open-source frameworks
- Experience with model gateways (LiteLLM, Portkey)
- Experience with safety tooling (NVIDIA NeMo Guardrails)
- Experience with AI red-teaming tools (Promptfoo, Garak)
- A strong desire to 'play' with new tech (like Claude Code)
- A history of building your own agents or GitHub projects
Desired Qualifications
- Proven ability to translate complex technical concepts into business value for executives
- Ideally with experience in the AppSec space
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