Lead AI Software Engineer

Posted 11 Days Ago
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Tel Aviv, ISR
Hybrid
Senior level
AdTech • Marketing Tech • Software
The Role
Lead design and delivery of AI-driven, multi-component SaaS products. Establish agentic workflows, encode domain context, improve engineering velocity, mentor teams, and align cross-functional execution with business metrics.
Summary Generated by Built In
Description

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.
Requirements
  • Proven experience (at least 5+ years) in software engineering, architecture, and leading complex technical projects in SaaS or data-driven environments.
  • Deep hands-on experience in building, architecting, and deploying AI-driven systems, LLM applications, or agentic workflows.
  • Strong architectural background with the ability to ensure cohesion across multi-component platforms, microservices, and data layers.
  • Demonstrated experience in driving engineering standards, developer velocity improvements, and CI/CD/AI practices.
  • Excellent cross-functional leadership skills - ability to bridge technical strategy with product vision and business metrics.
  • Proven track record of mentoring engineers, leading cross-functional pods, and fostering technical adoption.
  • Strong analytical mindset with a data-informed approach to measuring execution efficiency and product success.
  • Exceptional communication skills and a proactive, collaborative approach in a dynamic, hybrid environment.

Skills Required

  • At least 5+ years in software engineering, architecture, and leading complex technical projects in SaaS or data-driven environments.
  • Hands-on experience building, architecting, and deploying AI-driven systems, LLM applications, or agentic workflows.
  • Strong architectural background ensuring cohesion across multi-component platforms, microservices, and data layers.
  • Experience driving engineering standards, developer velocity improvements, and CI/CD/AI practices.
  • Cross-functional leadership ability to bridge technical strategy with product vision and business metrics.
  • Proven track record mentoring engineers, leading cross-functional pods, and fostering technical adoption.
  • Data-informed analytical mindset to measure execution efficiency and product success.
  • Exceptional communication skills and collaborative approach in a hybrid environment.
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The Company
HQ: Tel Aviv-Yafo
71 Employees

What We Do

Skai is the leading omnichannel advertising platform specializing in walled garden media. Backed by nearly two decades of innovation, we support marketers with insights they can use, data they can trust, and impact they can measure on the media that matters. Our marketing platform includes solutions for retail media, paid search, paid social, and app marketing. We work alongside the largest brands and publishers to solve the industry’s biggest challenges. Founded on our core values of innovation, integrity, passion, and humility, we are a global team of professionals passionate about doing good work and doing the right thing. Skai is the combined entity of former companies Kenshoo and Signals Analytics, each with a long history of first-to-market innovation. Skai uses the brand name Kenshoo Skai in Europe.

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