Principal Customer Engineer

About the role

You will build an AI security services practice across North America from the first customer up, with the independence of a startup and the install base, brand, and balance sheet of a major global security organization behind every conversation you have.

What You Will Own

• Customer success and delivery (your center of gravity)
• 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
• Pre-sales and commercial (the second gear)
• Act as the senior technical voice in enterprise sales cycles: presenting, demonstrating, and defending the proposition to CISOs, security architects, and engineering leaders
• Partner with sales on scoping, solution design, and proposals that win complex, multi-stakeholder deals across the Fortune 500
• Build and practice (founding scope)
• 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

• 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

The mindset

• 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
• 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
• 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

• 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