AI Solution Manager at WSC Sports – Ramat-Gan | Jobyssey

WSC Sports, the pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. WSC Sports’ platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.

Why WSC Sports:

You’ll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At WSC Sports, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and that’s just the beginning of what WSC Sports has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.

About the Role

We’re looking for a hands-on AI Solutions Manager who combines deep practical knowledge of generative AI tools with strong business understanding. This role sits at the intersection of technology and impact - identifying real organizational needs and translating them into scalable, AI-driven solutions.

This role is perfect for someone who lives and breathes AI technology, stays ahead of the rapidly evolving landscape, and knows how to turn cutting-edge capabilities into real-world solutions.

What You’ll Do

Collaborate with cross-functional teams to identify opportunities where AI can solve complex business and internal problems
Evaluate and select the right AI tools and models (Claude, Gemini, OpenAI, etc.) based on use case, limitations, cost, performance, and scalability
Design and implement AI-powered solutions and internal automations using LLM APIs and workflow platforms (e.g., N8N, Workato)
Build and optimize prompts, RAG pipelines, and AI agents while understanding model limitations and trade-offs
Architect scalable AI workflows and integrations across systems (e.g., Salesforce, Jira, Confluence, , etc.)
Lead hands-on projects from ideation to rollout, iterating rapidly to deliver value
Stay up to date with emerging AI capabilities and continuously evaluate new tools and frameworks
Educate and guide the organization how to adopt and use wisely AI tools and models

Requirements

What you’ll need:

5+ years of experience in business operations/ business applications/ product management
2+ years of experience building or working within an AI-focused team
Heavy knowledge of prompt engineering best practices and LLM limitations
Deep practical experience with modern generative AI platforms (Claude, Gemini, OpenAI, etc.)
Hands-on expertise with AI development and automation tools:
N8N or comparable workflow automation platforms
AI agent frameworks and orchestration tools
Understanding of RAG, vector databases, MCP and LangChain multi-agent systems
Proven track record of building functional AI solutions from concept to production
Strong problem-solving mindset with the ability to break down complex challenges
Solution-oriented approach with focus on practical outcomes and business impact
Knowledge of AI ethics, safety considerations, and responsible AI practices

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Requirements