About the Role
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.
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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.
What We Look For
If 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 community.
What Working Offers
- Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on groundbreaking, 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.
