Full Stack Team Lead - AI-Powered Content & Monetization Platform at Pixellot

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full Stack, Team Lead, Frontend, AI-First Mindset, GenAI Tools, Agentic Development, Architecting, React Native, Flutter, LLMs, AWS, CI/CD, React, Vue, Node.js, UX

Industry

Media Production

Description

At Pixellot, we are revolutionizing sports production with AI-powered systems that automatically capture, process, and stream live sports content to millions of users worldwide -from parents watching their kids’ games to coaches analyzing performance. We’re looking for a hands-on Full Stack Team Lead for our AI-Powered Content & Monetization Platform - someone with a strong frontend orientation and an AI-first mindset who leverages modern GenAI tools to accelerate development and improve engineering workflows. You’ll lead by doing - building, prototyping, prompt-engineering, and guiding the team in adopting agentic development practices while maintaining architectural clarity across our Streaming & Engagement Platforms. As part of your role, you will: Lead a full-stack engineering team (Web, Mobile, Streaming & Engagement Platforms), owning execution and delivery end-to-end. Stay deeply hands-on - architecting, coding, reviewing, and building production-ready features. Drive agentic development practices across the full SDLC. Build rapid functional prototypes – turning product ideas or Figma designs into working cross-platform solutions. Integrate LLMs into development workflows - including test generation, documentation, CI/CD automation, and internal tooling. Architect scalable solutions across Web, Mobile (React Native / Flutter), and Streaming & Engagement environments (Smart TVs / CTV). Ensure frontend excellence and user experience quality across consumer-facing flows. Work closely with Product and Design to streamline design-to-code cycles using modern tooling. Mentor engineers on modern full-stack architecture and AI-assisted development workflows. Balance speed with technical depth - enabling fast iteration without sacrificing scalability. Requirements + years of engineering experience, including 2+ years leading an engineering team. Strong full-stack background with a clear frontend and UX orientation. Proven experience shipping consumer-facing products across Web and/or Mobile. Deep experience with modern frontend frameworks (React / Vue / similar) and backend systems (Node.js / cloud-based services). Experience working with AWS and production-grade CI/CD pipelines. Hands-on experience using GenAI tools for development (Cursor, Claude, Copilot, v0, Replit Agent, etc.). Demonstrated ability to prototype quickly and improve development velocity using AI-assisted workflows. Understanding of cross-platform architecture across Web, Mobile, and Streaming & Engagement Platforms. Strong product intuition and ability to translate user needs into high-quality technical execution. A hands-on leadership style - comfortable reviewing code, writing code, and leading by example. Why You'll Love Working Here Real Impact: Your work directly affects millions - from parents watching Friday night games to coaches gaining competitive advantage. Cutting-Edge Challenges: Real-time video at global scale, AI-powered content platforms, and next-generation engagement and monetization experiences. Speed & Ownership: Lead modern engineering practices in a high-impact consumer domain. Join the Team! If you’re passionate about building AI-powered consumer platforms that combine content, engagement, and monetization - we’d love to hear from you.

Responsibilities

The role involves leading a full-stack engineering team responsible for AI-powered content and monetization platforms, requiring deep hands-on involvement in architecting, coding, and building production-ready features end-to-end. A key focus is driving agentic development practices and integrating Generative AI tools across the Software Development Life Cycle (SDLC) to accelerate prototyping and workflow improvements.