Director - Product Technology

Job Description:

Inception
42, 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 www.inception
42.ai

We are looking for a Director - Product Technology, Platforms to lead the technical evolution and productization of Inception
42’s shared agentic-AI platform. You will help turn advanced AI capabilities into secure, reliable, and scalable experiences for enterprise and government customers - connecting product ambition with engineering execution and helping teams move from early validation to dependable deployment at scale.

Reporting to the Senior Director of Product Technology, you will set technical direction, shape architecture, bring together the right engineering and AI capabilities, and guide the platform from concept through production. You will partner closely with Product, Design, Engineering, Data & AI, Platform, Security, Delivery, and strategic technology partners, including Microsoft. Success requires strong technical and product judgment across usability, reliability, speed, security, deployment constraints, and AI economics.

• Set the technical direction and execution roadmap for Inception
  42’s shared agentic-AI platform.
• Evolve the architecture across agent runtime, orchestration, tool execution, governance, APIs, identity, multi-tenancy, security, and sovereign deployment.
• Partner with Product, Design, and Data & AI to turn models, agents, and prototypes into evaluated, usable, secure, observable, and supportable platform capabilities that solve real customer needs.
• Lead the platform’s enterprise integration strategy, including interoperability with strategic technology ecosystems.
• Establish strong engineering practices across development, release, and production, supported by automated evaluations, observability, rollback, and clear operational ownership.
• Shape the engineering capabilities and capacity required to deliver the roadmap, working across Engineering, Data & AI, Platform, Security, and Design.
• Improve platform reliability, scalability, performance, security, and AI economics across enterprise, sovereign, hybrid, and customer-controlled deployments.
• Raise technical and product judgment through strong reviews, clear expectations, coaching, and shared engineering practices.
• Use production behavior, incidents, customer feedback, and adoption signals to continuously improve the platform and technical roadmap.

• Senior product-engineering leadership experience building complex enterprise platforms, developer products, or multi-tenant SaaS.
• Strong hands-on technical credibility in architecture, system design, design or code review, and complex production diagnosis.
• Deep understanding of distributed systems, APIs, identity, security, multi-tenancy, reliability, observability, and production operations.
• Experience shipping AI-powered products, with practical knowledge of agents, RAG, evaluation, grounding, safety, latency, and cost.
• Experience guiding products from early discovery and prototypes through launch, production operation, iteration, and scale.
• Strong product judgment grounded in user and developer workflows, usability, adoption, and measurable value.
• A track record of leading across organizational boundaries and bringing clarity to complex technical and commercial trade-offs.
• Ability to bring structure and clarity to ambiguous environments while keeping teams moving without unnecessary process.
• Clear communication with engineers, researchers, executives, customers, and strategic partners.

• Experience with agent platforms, copilots, workflow systems, developer platforms, or API ecosystems.
• Exposure to sovereign, regulated, government, hybrid, or on-premises deployment environments.
• Experience with AI evaluation,…