Who are we?

Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and data-driven performance media to enable smarter decision-making, increased efficiency, and maximized ROI for businesses worldwide. Our platform helps manage approximately $10B in annual ad spend through partnerships with Google, Meta, Amazon, Microsoft, and others.

Founded in 2006, Skai is a global company with around 650 employees. We operate in a hybrid work model that combines remote flexibility with in-office collaboration.

What will you do?

As a Lead AI Engineer, you will own the delivery of complex, multi-component products and play a pivotal role in shaping how our engineering teams leverage AI-driven product development.

In this role, you will function as a hybrid of engineer, architect, analyst, and product partner. You will establish pod-level AI workflows, lead the adoption of agentic development practices across teams, and build AI-enabled solutions that significantly improve engineering velocity and output quality. You will drive cross-functional alignment, mentor teams on pragmatic AI leverage, and encode organizational and domain knowledge into scalable context layers to maximize product impact.

Responsibilities:

• Technical Leadership & Architecture: Own the end-to-end delivery of complex multi-component products, ensuring technical cohesion across services and data layers.
• Agentic Workflows & Standards: Establish pod-level AI workflows and engineering standards that ensure high-quality output from both human engineers and AI agents.
• AI-Enabled Velocity: Build and scale AI-enabled solutions that drive measurable improvements in team velocity, quality, and execution efficiency.
• Context & Domain Encoding: Encode organizational and domain knowledge into context layers and prompt guardrails to scale expert judgment across the engineering organization.
• Cross-Functional Alignment: Lead cross-functional pods, drive execution alignment, and balance technical debt management with rapid AI-driven feature delivery.
• Strategic Influence & Product Impact: Act as a strategic partner to align scope, architecture, and success metrics, ensuring teams are solving high-value problems with clear business impact.
• Mentorship & AI Culture: Shape the organizational culture regarding AI-driven development and mentor engineering teams on pragmatic AI leverage and delivery excellence.