OpenAI

Manager, Cyber - AI Deployment Engineering

OpenAI$150K — $180K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in technical deployment or professional services, especially in cybersecurity
  • Hands-on experience in several cybersecurity domains: AppSec, DevSecOps, cloud security, and more
  • Ability to conduct executive-level technical discussions
  • Experience in scoping pilots and defining success criteria
  • Strong communication skills across multidisciplinary teams
  • Ability to thrive in ambiguous, evolving environments

Responsibilities

  • Lead technical discovery sessions with security professionals and teams
  • Collaborate on solution design, presentations, and validations during pre-sales
  • Translate customer needs into detailed deployment plans and success metrics
  • Manage transition from pre-sales design to post-sales implementation
  • Serve as the key technical partner overseeing deployment processes
  • Design and troubleshoot integrations across various technical environments
  • Identify and mitigate technical risks or blockers during deployment
  • Develop frameworks for monitoring and governance post-deployment
  • Measure the impact of solutions to ensure they deliver significant security results
  • Document successful deployments as playbooks and best practices

Benefits

  • Opportunity to shape the future of AI and cybersecurity
  • Collaborative work environment with cross-functional teams
  • Innovative projects that address global challenges
  • Continuous learning and development opportunities
  • Engagement in cutting-edge technology and practices
Full Job Description
The Cyber Deployment Manager partners with customers throughout the full lifecycle-from technical discovery and solution design through implementation, deployment, and adoption. You'll work closely with Sales and Solutions Engineering during the pre-sales process to understand customer security priorities, assess technical requirements, develop solution architectures, and support demonstrations, workshops, and proofs of concept.

After a customer commits, you'll remain engaged as the technical deployment lead, translating the proposed solution into a production-ready implementation. You'll guide integrations, establish success criteria, manage technical risks, and help customers operationalize AI across security workflows such as secure code review, vulnerability management, threat detection, incident response, SOC operations, and GRC automation.

In this role, you will:
  • Lead technical discovery with security executives, practitioners, architects, and engineering teams.
  • Partner with Sales and Solutions Engineering on solution design, demonstrations, workshops, technical validation, and proofs of concept.
  • Translate customer requirements into clear architectures, deployment plans, success criteria, and implementation milestones.
  • Own the transition from pre-sales solution design into post-sales deployment and adoption.
  • Serve as the primary technical partner during implementation, coordinating customer stakeholders and internal Product, Engineering, Security, and GTM teams.
  • Build and troubleshoot integrations involving APIs, agents, security tools, cloud platforms, data sources, and enterprise workflows.
  • Identify deployment risks, technical blockers, and product gaps, and drive them toward resolution.
  • Help customers establish evaluation frameworks, governance controls, guardrails, monitoring, and human-review processes.
  • Measure adoption and business impact, ensuring deployed solutions deliver meaningful security outcomes.
  • Turn successful customer deployments into reusable architectures, playbooks, demonstrations, and best practices.

You might thrive in this role if you:
  • Have experience spanning both pre-sales solutions engineering and post-sales implementation, professional services, or technical deployment.
  • Bring hands-on cybersecurity expertise across areas such as AppSec, DevSecOps, cloud security, SOC, incident response, vulnerability management, identity, or security architecture.
  • Can lead executive-level technical conversations while remaining comfortable building, integrating, and troubleshooting solutions.
  • Have experience scoping pilots, defining success criteria, and moving technical evaluations into production deployments.
  • Communicate effectively across customer, sales, product, engineering, and security teams.
  • Enjoy operating in ambiguous environments and taking ownership from initial discovery through measurable customer adoption.


At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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