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C-Serv

Principal Customer Engineer

RemoteUnited States, Canada only
Published
Role
Security
Experience
Principal
Employment
Full-time
Salary not disclosed
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Open to US, CA only. Set where you work from to check your eligibility.

No BS summary

Founding North America post-sales hire for a fast-scaling AI security business within a larger security organization. You will build an AI security services practice from scratch, owning customer success, leading engagements, and acting as the technical voice in sales cycles. Requires 8+ years in a senior post-sales technical role with deep AI/ML security knowledge and proven enterprise customer relationship ownership.

Core skills

AI securityLLM security

Required skills

ML securityadversarial attacksprompt injectiondata poisoningmodel inversionsupply-chain riskLLMsagentic systems

Optional skills

securing LLM deploymentsRAG architecturesagentic frameworksfine-tuningoffensive securityred teamingadversarial ML researchAI governance

What you'll do

  • 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.

What they require

  • 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.
  • 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

  • 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

A values-led, woman-owned delivery partner built on empathy, integrity, collaboration, and growth.

AI Security
Salary not disclosed