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About the role
Key responsibilities & impact- Own the long-term success of enterprise customers from go-live onward: adoption, expansion, renewal, and measurable risk reduction.
- Lead the delivery of AI security engagements: threat modeling, guardrail design, red-team exercises, control frameworks, and implementation advisory against the platform.
- Embed alongside customer security and engineering teams, translating their AI risk exposure into outcomes they can see and defend to their board.
- Turn what you find in delivery into clear, executive-ready narratives that drive decisions, not just technical artifacts.
- Act as the senior technical voice in enterprise sales cycles: presenting, demonstrating, and defending the proposition to CISOs, security architects, and engineering leaders.
- Lead discovery that surfaces real risk exposure and shape it into a compelling case for the platform and the services around it.
- Partner with sales on scoping, solution design, and proposals that win complex, multi-stakeholder deals across the Fortune 500.
- Help shape the strategy, roadmap, and success of the AI security offering in North America.
- Define repeatable delivery methods, and feed patterns from the field back into product direction.
- Lay the foundations of the North America team, and grow into leading it as the function scales.
Requirements
What you’ll need- 8+ years in a senior post-sales technical role: customer engineering, solutions architecture, professional services, or security consulting at principal level.
- Deep, credible knowledge of AI and ML security: adversarial attacks, prompt injection, data poisoning, model inversion, supply-chain risk, and the threat landscape around LLMs and agentic systems.
- A track record of owning enterprise customer relationships and outcomes, from first deployment through expansion.
- Comfort across the full sales cycle without losing technical credibility. You can hold a room with a CISO and go deep with a security engineer in the same afternoon.
- Proven delivery leadership: you have scoped, led, and closed out complex technical engagements with enterprise clients.
- Entrepreneurial: you are energized by a blank page and comfortable building the road as you walk it.
- Commercial: you understand deal mechanics, pipeline, and what it takes to win, and you care about the number.
- Curious: you follow emerging technology because you want to, and you have built with AI systems yourself.
- Owner's instinct: you take accountability for the long game, not just the launch.
- Strongly preferred
- Hands-on experience securing LLM deployments in enterprise environments: RAG architectures, agentic frameworks, fine-tuning, and the security considerations of each.
- Background in offensive security, red teaming, or adversarial ML research. You understand how these systems are attacked, not only how they are defended.
- Familiarity with AI governance and compliance frameworks: NIST AI RMF, EU AI Act, ISO 42001, SOC 2.
- Domain depth in a regulated vertical: financial services, healthcare, defense, or critical infrastructure.
- A public presence: speaking, writing, research, or a recognized reputation in AI security.
- Experience standing up a practice, service line, or methodology from the ground up.
Benefits
Comp & perks- Health Care Plan (Medical, Dental & Vision)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Training & Development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Threat ModelingGuardrail DesignRed-Team ExercisesControl FrameworksAdversarial AttacksData PoisoningModel InversionSupply-Chain RiskRAG ArchitecturesFine-Tuning
Soft Skills
Entrepreneurial MindsetCuriosityAccountability