
Senior AI Deployment Manager, Cyber
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United States.
• Lead intricate AI product initiatives and delivery efforts within Eliza's Cyber vertical.
• Act as the product liaison to client leaders and the business development team.
• Convert cybersecurity requirements into actionable AI opportunities and oversee delivery alignment from the discovery phase to launch.
• Conduct structured discovery sessions with cybersecurity stakeholders to gain insights into workflows, risks, data readiness, and business outcomes.
• Evaluate use-case applicability, feasibility, sequencing, and pathways to production.
• Create and manage a prioritized backlog of use cases based on feasibility, readiness, and measurable impact.
• Transform client requirements into product specifications, acceptance criteria, delivery plans, and product roadmaps.
• Collaborate with engineers deployed on-site throughout the design, evaluation, iteration, launch, and handoff processes.
• Address gaps from prototype to production, including issues related to data quality, security, compliance, and scalability.
• Ensure alignment among client executives, subject-matter experts, business development, and technical teams regarding scope, trade-offs, timing, and measurable value.
• Establish success criteria for AI systems that necessitate ongoing evaluation.
• Report on progress and risks, challenge inappropriate requests, and escalate decisions as necessary.
• Provide contributions to AI governance and offer training for ChatGPT/Codex setup when needed.
• Develop Cyber delivery methodologies into reusable playbooks, evaluations, and practices for production readiness.
• Mentor Associates and assist in shaping enterprise AI experimentation-to-production practices in the cybersecurity field.
• Aid in pre-sales activities, including drafting and reviewing Statements of Work (SOWs), work plans, and playbooks.
• Extensive experience in cybersecurity and sound judgment regarding the operational context of client challenges.
• Proven track record of independently navigating complex client or product initiatives through ambiguity and achieving measurable outcomes.
• Strong proficiency in AI: practical application of current AI tools and an understanding of when models are effective, ineffective, or require evaluation.
• Product acumen that connects user needs, business impact, feasibility, data readiness, risk factors, and technical limitations.
• Establish credible partnerships with engineers, recognizing which decisions fall under product responsibility and when to seek engineering input.
• Strong skills in executive communication, the ability to create concise written materials, and confidence in navigating difficult trade-off discussions.
• Experience in guiding others or coaching less-experienced team members in delivery.
• Experience in AI governance, cyber risk, Codex setup, or responsible AI training is preferred.
• Consulting or client-service background with executive stakeholders is preferred.
• Experience in developing reusable delivery methods, evaluations, or workflow assets is preferred.
• Legally authorized to work in the United States.
• Must disclose whether employment visa sponsorship is needed now or in the future.
• Competitive salary structure (base salary plus performance incentives linked to client success).
• Equity options in an expanding AI services firm.
• Exposure to diverse industries and significant AI challenges.
• Travel opportunities for on-site client engagements (if desired).
• Work at the convergence of enterprise AI delivery and a substantial cybersecurity domain.
• Take ownership of client outcomes and collaborate directly with senior stakeholders.
• Work closely with on-site engineers developing and deploying real-world systems.
• Influence how Eliza's Cyber practice approaches AI project delivery.
• Compensation and benefits information will be provided during the hiring process.
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