AI Support Experience Manager driving performance and improvement in customer support at Bumble through AI tools. Focus on workflow optimization and team integration.
About the role
- AI Team Leader defining and executing AI strategy across products for VSN, a leader in media and broadcast software. Responsible for building and leading a high-impact engineering team.
Responsibilities
- Define and own VSN’s AI roadmap in alignment with company and product strategy
- Translate business needs into concrete AI initiatives, POCs, and product features
- Build, lead and mentor a high-performing AI engineering team (internal + external/partners)
- Collaborate closely with Product, Engineering, Sales and Customer Success to prioritize and deliver AI capabilities that drive tangible business value
- Design and implement end-to-end AI solutions: from data ingestion and model integration to frontend UX
- Build and maintain production-grade services and APIs that integrate AI/ML and LLMs into VSN products
- Work as a strong full-stack engineer (backend + frontend) capable of owning features from concept to deployment
- Use tools like Cursor, Claude, and other AI coding assistants as core instruments to increase development speed and quality at scale
- Define the technical architecture for AI services (cloud, scalability, security, observability)
- Select, evaluate and integrate third-party AI platforms, models, and vendors
- Establish coding standards, best practices and quality gates for the AI team
- Ensure robustness, performance, and reliability of AI features in production
- Promote a high-pace, agile environment with short feedback cycles and continuous delivery
- Drive experimentation (A/B tests, fast POCs) and systematically measure impact vs. cost
- Evangelise AI internally, supporting training and awareness across the organization
Requirements
- 6+ years of professional software development experience, with at least 2+ years in AI/ML, LLMs or applied data products
- A bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence or a similar related discipline is essential
- Strong full-stack capabilities:
- Backend: Node.js, Python, or similar; REST/GraphQL APIs; microservices
- Frontend: React (or similar modern framework), TypeScript/JavaScript
- Databases: SQL and NoSQL; data modeling and performance tuning
- Proven experience integrating LLMs / AI APIs (OpenAI, Anthropic, etc.) and building applications around them (RAG, agents, workflows, etc.)
- Hands-on experience using AI coding tools (Cursor, Claude, Copilot or similar) as a standard part of the development workflow
- Solid understanding of cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes)
- Strong software engineering fundamentals: testing, code review, CI/CD, version control, security best practices
- Legally authorized to work in Spain
- Previous experience leading a small engineering team or acting as a tech lead
- Ability to operate at both strategic and tactical levels: roadmap definition and hands-on coding
- High agility and comfort working in a fast-paced, evolving environment
- Excellent communication skills in English and Spanish, and the ability to interact directly with C-level stakeholders
- Strong ownership mindset, bias for action, and a focus on measurable business outcomes
- Excellent problem-solving and analytical abilities
- Proven ability to work in agile teams and deliver in fast-paced environments
- Self-motivated with strong organizational skills and attention to detail
- Hands-on attitude with a proven entrepreneurial spirit and pace-setter traits
- Experience in media, broadcast, OTT, or adjacent industries
- Prior work on recommendation systems, search, content enrichment, or video workflows
- MLOps experience (model lifecycle, monitoring, retraining pipelines)
- Start-up or scale-up experience
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