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Lead Product Engineering Location Abu Dhabi, Abu… at G42 · Location…
Job 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.ai
Overview:
We are looking for a Product Engineering Lead to own engineering execution for an assigned product or major platform area. You will turn product priorities into production-ready software and help your squad deliver predictably, with high quality.
The role combines technical leadership, team development, and delivery accountability. You will work with Product, Design, Data & AI, Platform, Security, and Delivery to resolve trade-offs and take capabilities from backlog through release and reliable operation.
Responsibilities:
What You’ll Own
- Own engineering execution for an assigned product or platform area, including planning, development, release, and production support.
- Lead and coach a product-engineering squad; set clear expectations for quality, ownership, and delivery.
- Turn prioritized requirements and acceptance criteria into a refined engineering backlog, estimates, sprint goals, and release plans.
- Guide architecture and implementation across services, APIs, integrations, user workflows, and reusable platform capabilities.
- Partner with Product and Data & AI to turn prototypes and requirements into usable, secure, observable production features.
- Ensure code reviews, automated testing, CI/CD, release readiness, observability, and incident response are part of team execution.
- Own engineering risks, technical debt, product reliability, defects, and performance improvements.
- Resolve cross-team dependencies and contribute reusable capabilities to shared platforms rather than duplicating work.
- Track sprint and release outcomes, delivery predictability, and quality; surface blockers and trade-offs early.
Qualifications:
- Experience leading software engineers to deliver and operate a production product or major platform area.
- Strong technical judgment in architecture, system design, code review, debugging, and production operations.
- Experience with APIs, distributed systems, cloud platforms, integrations, security, and observability.
- Practical experience owning engineering backlogs, sprint execution, releases, and production readiness.
- Ability to balance product scope, engineering quality, speed, reliability, and technical debt.
- Evidence of resolving dependencies and driving cross-functional execution with minimal process overhead.
- Track record coaching engineers and establishing clear technical ownership and engineering standards.
- Clear communication with product, engineering, AI, security, and delivery stakeholders.
Nice to Have
- Experience shipping AI-powered products, agent platforms, copilots, workflow systems, or developer platforms.
- Exposure to RAG, AI evaluation, grounding, safety, model observability, latency, or inference cost management.
- Experience with sovereign, regulated, hybrid, or on-premises deployments.