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?
We are the Agents Studio group at Skai, operating as a high-speed development group within a global powerhouse. Following the initial launch of our flagship Agents Studio platform MVP, we are now scaling through our live Beta phase.
In this role, you will serve as a GenAI-native technical lead, driving the rapid execution of our product strategy. You will connect live market feedback and customer needs directly to engineering delivery. Leading a dedicated pod of engineers, you will leverage advanced GenAI toolchains and translate real-world requirements into scalable, production-grade agentic solutions.
Responsibilities:
- Drive Live Business Impact & Beta Launch:Rapidly engineer GenAI-assisted solutions, prototypes, and platform adjustments that unlock customer value and support Beta adoption.
- Command the Rapid Execution Pod:Lead a dynamic pod of 2-3 engineers drawn from core teams. Establish an AI-first development culture and agentic workflows to maximize team velocity and focus on high-impact business needs.
- Frontline & Client Alignment:Partner closely with Forward-Deployed Engineers (FDEs),Product teams, and clients to translate user feedback and market friction into solid architectural solutions.
- Dynamic Backlog & Roadmap Generation:Convert market signals and customer feedback into an actionable engineering backlog, taking end-to-end ownership from concept to production.
- Navigate the MVP-to-PMF Gap:Make pragmatic technical decisions daily, balancing fast GenAI prototyping with long-term, scalable core platform architecture.
- Agentic Workflows & AI Velocity:Build, scale, and maintain systems using GenAI coding toolchains and LLM frameworks, improving engineering output and setting standards for human-AI collaboration.
- Context Encoding & Technical Guardrails:Encode domain and organizational knowledge into scalable context layers, prompt pipelines, and fallback mechanisms to ensure system reliability and enterprise safety.
- Mentorship & GenAI Culture:Drive AI-native development practices across engineering teams, mentoring on practical AI adoption and fast-paced delivery.
- 5+ yearsof hands-on experience as a Senior or Lead Backend/Full-Stack Engineer, with a strong background in fast-paced startup or rapid-execution environments.
- Production AI Experience:Proven hands-on experience building, architecting, deploying, and operating AI Agents, GenAI frameworks, and LLM-based applications in production environments.
- Startup DNA & Ownership:Demonstrated ability to thrive in dynamic environments, take extreme ownership, and balance strategic technical goals with practical execution.
- Product-Minded Engineering:Strong business acumen and customer focus, with a track record of prioritizing engineering work based on product impact.
- Architectural Expertise:Solid foundation in cloud infrastructure (AWS preferred), microservices, CI/CD pipelines, and building robust guardrails for AI systems.
- Cross-Functional Leadership:Excellent communication skills, with experience leading engineering pods, aligning with Product, and interacting with client-facing teams.
- Pragmatic Execution:Proven ability to deliver fast without sacrificing enterprise-grade code quality, security, and stability.
Skills Required
- 5+ years of hands-on experience as a Senior or Lead Backend or Full-Stack Engineer
- Experience in fast-paced startup or rapid-execution environments
- Hands-on experience building, architecting, deploying, and operating AI agents, GenAI frameworks, and LLM-based applications in production
- Ability to thrive in dynamic environments and take extreme ownership
- Ability to balance strategic technical goals with practical execution
- Strong business acumen and customer focus
- Track record of prioritizing engineering work based on product impact
- Solid foundation in cloud infrastructure, preferably AWS
- Experience with microservices and CI/CD pipelines
- Experience building robust guardrails for AI systems
- Excellent communication skills
- Experience leading engineering pods and aligning with Product and client-facing teams
- Ability to deliver quickly without sacrificing enterprise-grade code quality, security, and stability
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.
