4 часа назад
Technical Deployment Lead (AI)
195 000 - 320 000SGD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Deployment Lead (AI): Leading complex enterprise AI engagements from problem discovery and proof of concept through production launch and scale with an accent on product strategy, technical delivery, and customer adoption. Focus on defining success metrics, pressure-testing architectures, resolving cross-functional blockers, and turning AI solutions into reliable production systems.
Location: Hybrid, based in Singapore; the listing also references Melbourne and Sydney, Australia. Customer travel is shaped by deployment needs.
Salary: SGD 195,000–SGD 320,000 annually, plus equity.
Company
DeployCo is OpenAI’s deployment arm, delivering enterprise AI transformation and production solutions using OpenAI models and products.
What you will do
- Own product and delivery plans for customer workstreams, translating business objectives into problem statements, hypotheses, proof-of-concept scope, success metrics, and production milestones.
- Lead execution across DeployCo, OpenAI, engineering, design, product, research, and customer teams.
- Embed with customers to map workflows, define requirements, align technical plans, and drive production adoption.
- Guide solutions from prototypes and proof of concepts through production readiness, launch, and scale.
- Manage product and technical tradeoffs involving scope, sequencing, resources, quality, adoption, and time-to-value.
- Measure business impact and codify reusable product, delivery, implementation, evaluation, and field-insight patterns.
Requirements
- Experience in customer-facing product delivery, product management, technical delivery, consulting, solutions engineering, or implementation leadership.
- Experience leading cross-functional teams to design, build, and ship production-grade AI and software products in enterprise environments.
- Technical fluency across Python applications, microservices, data technologies, large language models, architecture, integrations, and production readiness.
- Ability to connect customer needs, workflow realities, technical constraints, and business value into a practical production strategy.
- Clear communication with business leaders, engineers, product teams, and customer stakeholders.
- Ability to structure ambiguous product and engineering work and drive it toward delivery.
Culture & Benefits
- Work at the intersection of advanced AI, enterprise transformation, and scaled services delivery.
- Collaborate with OpenAI, DeployCo, and major enterprise customers on complex business challenges.
- Operate in a fast-moving environment that values intellectual honesty and ambitious execution.
- Hybrid work with customer travel shaped by deployment requirements.
- Equity is included in the compensation package.
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