Field Chief Technology Officer (Field CTO)

QuilrAI

18h•Remote

About The Position

The Field Chief Technology Officer is a senior technical leader and trusted advisor to Quilr’s enterprise customers. The role helps security and technology leaders understand the risks of adopting AI at scale, shape AI security strategies, and translate those strategies into practical architectures and deployments using Quilr. It operates across customer strategy, product direction, enterprise architecture, and technical go-to-market execution. This highly customer-facing leadership role engages executives, CISOs, CTOs, AI leaders, architects, and engineering teams. The Field CTO leads strategic technical conversations, supports high-impact evaluations and deployments, and brings customer insights to Quilr’s product and engineering organization. The role requires executive-level communication, technical credibility, and practical knowledge of designing, deploying, and operating secure AI systems. The Field CTO advises enterprise customers on AI security strategy and adoption; leads executive briefings, technical strategy sessions, and architecture workshops; and guides enterprise AI security architectures and complex technical validations. The role also connects customer requirements to product opportunities, contributes to product strategy and technical best practices, supports strategic go-to-market efforts, and represents Quilr through customer engagements and thought leadership. Candidates must have active, valid US work authorization. Quilr is unable to provide visa sponsorship. This is a remote role, with travel expectations for strategic customer meetings and industry events to be confirmed during the hiring process.

Requirements

Typically 10 or more years of experience in software engineering, enterprise architecture, cybersecurity, AI/ML infrastructure, technical consulting, or related fields, with a 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 enterprise AI deployment.
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.
Active, valid US work authorization; visa sponsorship is unavailable.

Nice To Haves

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 or 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.

Responsibilities

Advise customer CTOs, CISOs, CIOs, AI leaders, and enterprise architecture teams on AI security strategy and adoption.
Lead executive briefings, technical strategy sessions, architecture workshops, and discussions on securing LLM applications, AI agents, and MCP-based workflows.
Help customers identify AI security priorities, assess organizational readiness, and develop practical roadmaps for secure AI adoption.
Explain technical risks, architectural trade-offs, and product capabilities to executive and engineering audiences.
Build long-term trusted relationships with customer and prospect executives and strategic customers; develop ecosystem-partner relationships where appropriate.
Guide enterprise AI security architectures that integrate Quilr with customer applications, model providers, agent frameworks, APIs, data platforms, identity systems, and security tools.
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 resolve complex evaluation and implementation challenges.
Translate real-world customer requirements into product opportunities and share recurring architectural challenges, emerging threats, and enterprise adoption gaps with product and engineering teams.
Contribute to product strategy, roadmap discussions, reference architectures, and technical best practices; validate product direction with customers and communicate field learnings to engineering.
Partner with Sales and executive leadership on strategic opportunities, account planning, technical positioning, and high-value customer engagements.
Support technical narratives explaining Quilr’s approach to AI security and its relevance to enterprise risk and business objectives.
Represent Quilr in customer briefings, industry events, webinars, and technical communities.
Develop or contribute to executive presentations, architecture papers, technical points of view, and other thought-leadership materials.
Help improve strategic evaluations and deployments, influence product strategy with customer and market insights, and enable repeatable enterprise adoption through technical guidance and cross-functional collaboration.