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Director - Product Technology

Inception42

Abu Dhabi, United Arab Emirates · Full Time

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Experience
Any
Salary
—
Openings
1
Posted
1 week ago
Work mode
In office
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Job description

About Inception42

Inception42, a company within the G42 ecosystem, is a premier developer of AI-driven, domain-specific and industry-independent products, rooted in extensive research and innovation. Operating as the intelligence core of G42, Inception42 transforms data and computing infrastructure into tangible AI applications, aiming not only for commercial success but also societal benefit.

Role Overview

We seek a Director of Product Technology to lead the advancements and commercialization of Inception42’s shared agentic-AI platform. This role bridges ambitious product goals with engineering delivery, facilitating transition from early-stage validation toward robust, scalable, and secure production-level deployments tailored for enterprise and government clients.

Key Responsibilities

  • Define and guide the technical vision and development plan for Inception42’s agentic-AI platform.
  • Advance architectural aspects related to agent runtimes, orchestration, tool execution, governance, APIs, identity management, multi-tenancy, security, and sovereign cloud deployments.
  • Collaborate closely with Product, Design, and Data & AI teams to convert AI models, agents, and prototypes into fully validated, reliable, secure, and manageable platform features that address customer requirements.
  • Drive the platform's enterprise integration, ensuring compatibility with strategic technology partners including Microsoft.
  • Implement robust engineering standards encompassing code development, release management, production operations, with automation for evaluation, monitoring, rollback, and clear ownership.
  • Develop engineering capabilities and resources across functional teams to fulfill the platform roadmap.
  • Enhance the platform’s dependability, scalability, performance, security posture, and efficiency in AI economics across various deployment models such as enterprise, sovereign, hybrid, and client-controlled environments.
  • Elevate team technical and product proficiency via comprehensive reviews, clear direction, coaching, and unified engineering methodologies.
  • Leverage operational data, incident analysis, customer insights, and adoption metrics to continually refine the platform and its technical strategy.

Candidate Profile

  • Proven senior leadership in product engineering, specifically building complex platforms, developer-focused products, or multi-tenant SaaS solutions.
  • Demonstrable hands-on expertise in software architecture, system design, code or design reviews, and complex troubleshooting in live environments.
  • In-depth knowledge of distributed systems architecture, API management, identity and access control, security, multi-tenancy, system reliability, observability, and production support practices.
  • Experience delivering AI-powered solutions with familiarity in components such as autonomous agents, retrieval-augmented generation (RAG), evaluation methods, grounding techniques, safety protocols, latency considerations, and cost optimization.
  • Track record of shepherding products from concept and prototype phases through release, operations, iterations, and scaling.
  • Strong user and developer-centered product sense emphasizing usability, adoption stimuli, and measurable business value.
  • Skill in leading cross-functional teams and communicating complex technical and business considerations clearly.
  • Ability to bring order and clarity in ambiguous settings while maintaining team agility without excessive bureaucracy.
  • Exceptional communication skills tailored to audiences including engineers, researchers, executives, customers, and strategic allies.

Desirable Qualifications

  • Experience with agent platforms, copilots, workflow orchestration, developer platforms, or API ecosystems.
  • Familiarity with sovereign, regulated, government-related, hybrid, or on-premises technology deployments.
  • Expertise in AI evaluation strategies, model monitoring, optimization of inference, capacity management, financial operations (FinOps), or cost control frameworks.
  • Leading product engineering teams distributed across multiple geographic locations.

Additional Information

Inception42 is committed to crafting AI solutions engineered for practical application at scale, spanning multiple industries, infrastructures, and national initiatives. Candidates passionate about harnessing advanced AI technologies for impactful real-world implementations are encouraged to express interest.

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