6 дней назад
Technical Deployment Lead (Cybersecurity)
170 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Deployment Lead (Cybersecurity): Leading enterprise cybersecurity deployments that apply AI to threat investigation, incident response, and vulnerability management with an accent on technical delivery planning, production readiness, and customer adoption. Focus on coordinating cross-functional teams, moving prototypes into production, measuring customer impact, and codifying reusable deployment patterns.
Location: Hybrid in New York or San Francisco, United States
Salary: $170,000–$400,000 per year, plus equity
Company
DeployCo is OpenAI’s deployment subsidiary, delivering enterprise AI transformation and scaled services for complex business challenges.
What you will do
- Own technical delivery plans, milestones, dependencies, acceptance criteria, and operating rhythms for customer workstreams.
- Coordinate DeployCo, OpenAI, and customer teams while managing risks, blockers, critical paths, scope, sequencing, and resourcing.
- Partner with enterprise security teams to map workflows and deploy AI solutions for threat investigation, incident response, and vulnerability management.
- Move solutions from prototypes through MVP, production readiness, launch, adoption, and scale with FDEs, researchers, Product, and customer engineers.
- Own value cases, KPIs, adoption tracking, impact measurement, and sponsor readouts.
- Codify reusable delivery patterns, implementation playbooks, evaluations, and field insights for future deployments and product roadmaps.
Requirements
- 5+ years of experience in customer-facing technical delivery, technical program management, deployment, consulting, solutions engineering, or implementation leadership.
- Experience leading complex, ambiguous, cross-functional cybersecurity deployments in Fortune 500 or similarly complex enterprises.
- Ability to discuss established and emerging threats, including AI-enabled attack and defense, and translate them into detection and response workflows.
- Technical fluency in architectures, integrations, data and workflow constraints, and production readiness.
- Clear communication with business leaders, technical teams, and customer stakeholders, including tradeoffs involving risk, scope, speed, and adoption.
- Willingness to spend time onsite with customers when it accelerates delivery and trust.
Nice to have
- Practical interest or experience with AI and LLM systems.
- Experience with solution patterns, evaluation practices, and production pitfalls.
Culture & Benefits
- Work on ambitious enterprise AI transformation and complex cybersecurity deployments.
- Fast execution, intellectual honesty, and strong focus on solution quality.
- Opportunity to shape reusable operating patterns and influence Product and Research priorities.
- Equity is included in the compensation package.
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