Requirements
Requires senior product-engineering leadership experience in building complex enterprise platforms, developer products, or multi-tenant SaaS. Must have strong hands-on technical credibility in architecture, system design, and production diagnosis, with a deep understanding of distributed systems, APIs, identity, security, multi-tenancy, reliability, observability, and production operations. Experience shipping AI-powered products, including agents, RAG, evaluation, grounding, safety, latency, and cost, is essential, along with a track record of guiding products from discovery through production and iteration. Strong product judgment, ability to lead across organizational boundaries, and clarity in ambiguous environments are also key.
Description
Inception42, 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.inception42.aiOverviewWe are looking for a Director - Product Technology, Platforms to lead the technical evolution and productization of Inception42'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.ResponsibilitiesSet the technical direction and execution roadmap for Inception42'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.QualificationsWhat We're Looking ForSenior 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.Nice to HaveExperience 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, model observability, inference optimization, capacity planning, FinOps, or cost governance.Experience leading product engineering across multiple locations.What We Look ForIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception42 community.What Working At Inception42 OffersCulture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.