AI Solution Manager

Description 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 experience in business operations/ business applications/ product management 2+ years Experience building or working within an AI-focused team Heavy knowledge with 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: Cursor or similar AI-powered IDEs 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 Bonus: Engineering degree (Computer Science, Software Engineering, or related field) Experience with Python, API development, and cloud platforms Knowledge of AI ethics, safety considerations, and responsible AI practices