Field Chief Technology Officer (Field CTO) Remote (anywhere in United States)

The Role

As Field Chief Technology Officer (Field CTO), you will be a senior technical leader and trusted advisor to Quilr's enterprise customers. You will help security and technology leaders understand the risks of adopting AI at scale, shape their AI security strategies, and translate those strategies into practical architectures and deployments using Quilr. You will work at the intersection of customer strategy, product direction, enterprise architecture, and technical go-to-market execution.

This is a highly customer-facing leadership role. You will engage with executives, CISOs, CTOs, AI leaders, architects, and engineering teams; lead strategic technical conversations; support high-impact evaluations and deployments; and bring customer insights back to Quilr's product and engineering organization. The Field CTO is expected to combine executive-level communication with strong technical credibility and a practical understanding of how secure AI systems are designed, deployed, and operated.

Executive and Customer Technical Leadership

• Serve as a senior technical advisor to customer CTOs, CISOs, CIOs, AI leaders, and enterprise architecture teams on AI security strategy and adoption.

What You Will Do

• Lead executive briefings, technical strategy sessions, architecture workshops, and discussions about securing LLM applications, AI agents, and MCP-based workflows.
• Help customers identify AI security priorities, assess organizational readiness, and build pragmatic roadmaps for secure AI adoption.
• Communicate complex technical risks, architectural trade-offs, and product capabilities clearly to both executive and engineering audiences.
• Build long-term trusted relationships with the executives of our customers and prospects.

Strategic Solution Architecture and Technical Validation

• Guide the design of enterprise AI security architectures that integrate Quilr with customer AI applications, model providers, agent frameworks, APIs, data platforms, identity systems, and security tooling.
• Advise on controls for prompt injection, sensitive-data exposure, unsafe agent actions, excessive tool permissions, untrusted context, and AI supply chain risks.
• Provide senior technical oversight for strategic proof-of-concept engagements, architecture reviews, and complex enterprise deployments.
• Help customer teams define technical success criteria and assess security, scalability, reliability, and operational requirements.
• Partner with Solutions Engineers, AI Solutions Architects, and Field Developers to unblock complex evaluations and implementation challenges.

Product Strategy and Market Feedback

• Act as a bridge between customers and Quilr's product and engineering teams, translating real-world requirements into clear product opportunities.
• Identify recurring architectural challenges, emerging AI security threats, and gaps in enterprise adoption that should influence product priorities.
• Contribute to product strategy, roadmap discussions, reference architectures, and technical best practices.
• Help validate product direction with customers and communicate field learnings in a way that informs engineering decisions.

Technical Go-to-Market and Thought Leadership

• Partner with Sales and executive leadership on strategic opportunities, account planning, technical positioning, and high-value customer engagements.
• Support differentiated technical narratives that explain Quilr's approach to securing AI systems and its relevance to enterprise risk and business objectives.
• Represent Quilr in customer briefings, industry events, webinars, and relevant technical communities.
• Develop or contribute to executive presentations, architecture papers, technical points of view, and other thought-leadership materials.
• Build trusted relationships with strategic customers and, where appropriate, ecosystem partners.

Required Qualifications

• Typically 10+ years of experience across software engineering, enterprise architecture, cybersecurity, AI/ML infrastructure, technical consulting, or related fields, with a track record of senior technical leadership.
• Experience advising enterprise customers or senior technology and security stakeholders on complex technical decisions.
• Strong understanding of modern AI systems, including LLM-powered applications, AI agents, retrieval-augmented generation (RAG), and the operational challenges of deploying AI in enterprise environments.
• Strong foundation in enterprise architecture, cloud platforms, APIs, distributed systems, identity and access management, and application security.
• Ability to explain AI security threats and mitigations—including prompt injection, unsafe tool use, data exposure, and agent permissions—in clear business and technical terms.
• Experience supporting complex technical evaluations, solution architecture, strategic customer engagements, or enterprise technology adoption.
• Demonstrated ability to influence product direction by translating customer needs into actionable technical insights.
• Excellent executive communication, presentation, facilitation, and written communication skills.
• Comfort operating in a fast-moving startup environment, working across functions, and navigating ambiguity.

Nice to Have

• Direct experience in AI security, application security, cloud security, product security, or security architecture.
• Familiarity with OWASP guidance for LLM applications and agentic AI, AI red-teaming, threat modeling, and adversarial testing.
• Knowledge of MCP architecture, agent tool permissions, trust boundaries, and AI supply chain security.
• Experience with enterprise security platforms, including SIEM, identity providers, secrets management, API gateways, and security monitoring.
• Prior experience as a Field CTO, CTO, CISO, Principal/Distinguished Engineer, Chief Architect, or senior customer-facing technology leader.
• Experience at an early-stage B2B SaaS, cybersecurity, cloud infrastructure, or AI startup.
• A public technical profile through conference talks, technical publications, open-source contributions, or industry engagement.

What Success Looks Like

• Build trust with strategic customers and senior technology and security leaders.
• Help enterprise customers understand and act on their AI security requirements.
• Improve the quality and momentum of strategic technical evaluations and deployments.
• Influence product strategy with specific, high-value customer and market insights.
• Strengthen Quilr's technical credibility and differentiated position in the AI security market.
• Enable repeatable enterprise adoption through reference architectures, technical guidance, and cross-functional collaboration.

Important Logistical Note

Candidates must possess active, valid US work authorization. Quilr is currently unable to provide visa sponsorship. This is a remote role; travel expectations for strategic customer meetings and industry events should be confirmed during the hiring process.