Inception, a G42 company, is the region’s leading innovator of AI-powered domain‑specific as well as industry‑agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real‑world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit (Use the "Apply for this Job" box below)..
OverviewWe are looking for a VP of International Delivery to lead the execution of complex AI product and platform deployments across global customer environments. This role exists to make sure Inception can take technically ambitious products into international markets with disciplined delivery, strong customer alignment, and reliable production outcomes.
You will work closely with product, engineering, infrastructure, commercial and regional stakeholders to turn customer commitments into executable delivery plans. The role involves leading international delivery portfolios, managing complex dependencies across geographies, and building repeatable delivery practices for enterprise‑scale AI deployments. This is a hands‑on leadership role for someone who has built technology before and understands what it takes to deliver it in real customer environments.
Frequent international travel is required to work directly with customers, partners, and delivery teams.
- Own international delivery across a portfolio of AI products, platforms, and strategic customer programs, from planning through deployment, stabilization, adoption, and operational handover.
- Build and scale delivery governance across markets, including milestones, scope, technical dependencies, risks, resourcing, change control, and executive‑level reporting.
- Partner with product and engineering leaders to translate product roadmaps, architecture decisions, and customer requirements into practical delivery plans.
- Lead delivery execution in complex environments involving AI systems, cloud and infrastructure platforms, data pipelines, security requirements, integrations, vendors, and customer operating models.
- Work directly with international customers and partners to align delivery outcomes, manage expectations, resolve blockers, and maintain trust through high‑stakes implementation cycles.
- Establish operating rhythms for portfolio reviews, delivery health, decision‑making, escalation paths, and cross‑functional alignment across regions.
- Improve reliability and predictability across deployments by strengthening service readiness, incident management, change management, SLA governance, and post‑launch support models.
- Bring technical judgment into delivery decisions, including architecture trade‑offs, implementation risk, deployment sequencing, integration complexity, and operational readiness.
- Lead delivery teams and external partners with a high bar for execution quality, technical credibility, customer outcomes, and ownership.
- Identify systemic delivery risks early and build practical mechanisms to resolve blockers before they affect production commitments.
- Create repeatable international delivery practices that allow Inception to move faster across markets without losing control over quality, security, reliability, and stakeholder confidence.
- Strong experience leading international delivery, program management, implementation, or professional services for complex technology products in production environments.
- Previous hands‑on technical experience in software engineering, systems engineering, solution architecture, infrastructure, data, AI, or another technical delivery discipline.
- Proven ability to manage a portfolio of high‑stakes customer programs across product, engineering, infrastructure, commercial, customer, and partner teams.
- Strong understanding of software, AI, data, cloud, or infrastructure delivery, with enough technical depth to engage credibly on architecture, dependencies, risks, and trade‑offs.
- Experience delivering enterprise‑grade systems across multiple geographies, customer environments, regulatory contexts, or…
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