Principal Customer Engineer

C-Serv

$130K — $180K *
US-AnywhereRemote in Canada
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in a senior technical post-sales role like solutions architecture or security consulting.
  • In-depth knowledge of AI and ML security, including adversarial attacks and threat landscapes.
  • Proven track record in managing enterprise customer relationships throughout deployment and expansion.
  • Ability to engage with both CISOs and security engineers seamlessly in discussions.
  • Demonstrated experience leading complex technical engagements with enterprise clients.

Responsibilities

  • Own the long-term success of enterprise customers from deployment to renewal.
  • Lead delivery of AI security engagements and translate risks into outcomes for clients.
  • Create executive-ready narratives from delivered findings to aid decision-making.
  • Act as the senior technical resource during enterprise sales cycles, addressing key decision-makers.
  • Collaborate with sales teams to develop winning proposals for multi-stakeholder deals.
  • Contribute to shaping the strategy and roadmap for AI security in North America.
  • Define repeatable delivery methods and influence product direction with field feedback.

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
Full Job Description
A rare founding hire. 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.
  • 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.

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

The essentials
  • 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 (this counts as much as the CV)
  • 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.
Why this role

This is a buildout, not a maintenance role. You get the autonomy and pace of a startup with the reach of a global enterprise: a Fortune 500 install base to grow into, a platform at the front of its category, and a genuine hand in how AI security services take shape across North America. There is a clear path to lead the North America practice as it scales, in a business that values technical depth and commercial impact equally.

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

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