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OpenAI Deployment Company

Specialized engineering for enterprise AI deployments

Technical Deployment Lead

Program ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have 5+ years of customer-facing technical delivery, technical program management, deployment, consulting, solutions engineering, or implementation leadership experience.
  • Have led complex, ambiguous, cross-functional technical projects where outcomes depended on tight coordination and fast decision making.
  • Be technically fluent enough to pressure-test architectures, integration plans, data and workflow constraints, and production readiness without needing to be the deepest engineer in every domain.
  • Move fluidly between system-level strategy and execution-level detail, from executive objectives to ticket-level dependencies.
  • Bring practical interest or experience in AI/large language model systems and eagerness to learn solution patterns, evaluation practices, and production pitfalls.
  • Have worked with government, national-security, or other customers operating under clearance and access constraints.
  • Balance delivery momentum with customer security requirements and coordinate effectively when information or access is restricted.
  • Have an active U.S. government security clearance, be able to maintain it, and obtain customer-specific access.

Responsibilities

  • Own technical delivery plans for customer workstreams, translating business objectives into milestones, dependencies, acceptance criteria, and operating rhythms.
  • Run day-to-day execution across DeployCo, OpenAI, and customer teams, keeping work sequenced, risks visible, blockers resolved, and critical paths protected.
  • Embed with customers to map workflows, shape requirements, align technical plans to success criteria, and ensure solutions are adopted in production.
  • Partner with Forward Deployed Engineers, researchers, Product, customer engineers, and customer technical teams to move prototypes through minimum viable product, production readiness, launch, and scale.
  • Make pragmatic tradeoffs on scope, sequencing, resourcing, and quality while maintaining trust with technical and executive stakeholders.
  • Own value cases and impact measurement, including hypotheses, baselines, key performance indicators, adoption tracking, and readouts to sponsors.
  • Codify reusable delivery patterns, implementation playbooks, evaluations, and field insights that improve future deployments and inform product roadmap priorities.
  • Account for access approvals, secure-facility scheduling, and dependencies on customer security and infrastructure teams in delivery plans.
  • Align technical teams and customer stakeholders on readiness criteria for the target environment, including testing, operational ownership, and support.
  • Keep sponsors informed through approved channels, with delivery risks and decisions communicated at the appropriate sensitivity level.
  • Build within customer-approved environments for cleared engagements, accounting for restrictions on data, connectivity, tooling, and access; work with the Technical Deployment Lead and customer engineers to establish a feasible path from prototype to an operable system.

Desired Qualifications

  • Communicate clearly with business leaders, technical teams, and customer stakeholders, especially when tradeoffs involve risk, scope, speed, or adoption.
  • Bring strong customer empathy and willingness to spend time onsite with customers when it accelerates delivery and trust.
  • Operate well in high-ambiguity environments and bring enough structure to make complex work simple, visible, and shippable.
  • Hold TS/SCI clearance with polygraph; all clearance levels are considered.

About the Company

OpenAI Deployment Company

Specialized engineering for enterprise AI deployments

The Deployment Company helps large enterprises adopt generative AI by delivering engineering-led integration, model fine-tuning, data infrastructure optimization, and custom AI agents, with licensing tied to the OpenAI ecosystem. Forward-deployed engineers work alongside client teams to build digital replicas and tailor AI solutions that plug into existing workflows. It differentiates itself by combining OpenAI capabilities with hands-on, enterprise-focused consulting and governance to ensure safety, regulatory alignment, and scalable deployment. Its goal is to embed scalable, compliant AI into core business operations across diverse units to boost productivity.

Company size
Not listed
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$4B
Headquarters
San Francisco, CA
Founded
2026

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