Lead Product Engineering
Role Overview
Own engineering execution for an assigned product or major platform area, turning product priorities into production-ready software.
The role combines technical leadership, team development, and delivery accountability through release and reliable operation.
Work with Product, Design, Data & AI, Platform, Security, and Delivery to resolve trade-offs and deliver capabilities.
Key Skills for This Role
Full Job Posting
Role overview
Own engineering execution for an assigned product or major platform area, turning product priorities into production-ready software.
The role combines technical leadership, team development, and delivery accountability through release and reliable operation.
Work with Product, Design, Data & AI, Platform, Security, and Delivery to resolve trade-offs and deliver capabilities.
Responsibilities
- Own planning, development, release, and production support for a product or platform area.
- Lead and coach a product-engineering squad; set expectations for quality, ownership, and delivery.
- Refine requirements into engineering backlogs, 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 productionize usable, secure, observable features.
- Build code review, automated testing, CI/CD, release readiness, observability, and incident response into team execution.
- Manage engineering risks, technical debt, reliability, defects, and performance improvements.
- Resolve cross-team dependencies and promote reusable shared-platform capabilities.
- Track delivery and quality outcomes and surface blockers and trade-offs early.
Required qualifications
- Experience leading software engineers delivering and operating 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, quality, speed, reliability, and technical debt.
- Evidence of cross-functional execution, dependency resolution, engineer coaching, and setting technical standards.
- Clear communication with product, engineering, AI, security, and delivery stakeholders.
Preferred experience
- Experience shipping AI-powered products, agent platforms, copilots, workflow systems, or developer platforms is a plus.
- Exposure to RAG, AI evaluation, grounding, safety, model observability, latency, or inference cost management is a plus.
- Experience with sovereign, regulated, hybrid, or on-premises deployments is a plus.
About Inception42
Inception42 is a G42 company focused on AI-powered domain-specific and industry-agnostic products.
Within the G42 ecosystem, Inception turns data and compute infrastructure into applied AI solutions.
What the company offers
- The company describes an open, diverse, inclusive environment and opportunities for learning, development, and growth.
- A competitive remuneration package and benefits including healthcare, education support, and leave are described.
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