AI Technology Manager driving AI solutions in Valmet's industrial innovation. Leading AI application design and integration into products across multiple business processes.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Medical Affairs AI Operations Lead driving AI transformation by assessing workflows and embedding AI capabilities. Ensuring measurable productivity improvements in Medical Affairs across regions and functions.
AI Consultant responsible for leading AI discovery and project implementation for large enterprise clients. Focusing on automation opportunities and scaling AI solutions for maximum impact.
AI Operations Engineer at Cube, building systems for automated workflows and AI infrastructure. Focused on enabling operational efficiency across teams while ensuring data integrity.
Senior Associate focused on program management and client relationships at PwC. Analyzing complex issues and mentoring team members while overseeing program execution and reporting.
Manager in strategy consulting at PwC specializing in AI - led operating models and strategic business solutions. Leading cross - functional teams to deliver measurable value to clients.
AI Transformation Intern aiding Group IT strategy via data analysis and project coordination. Engaging in high - impact initiatives within cross - functional teams in a leading tech company.
AI Agile Transformation Consultant developing intelligent agents and automations to improve productivity at Verity. Focused on integrating AI into team workflows and strategic decisions.
AI & R&D IT Intern at Eisai, assisting with AI technology in pharmaceutical R&D operations. Collaborating with the RSQM IT team and cross - functional colleagues on AI use cases and implementations.
Senior Business Consultant leading growth in AI and data expertise for customers in Norway. Collaborating across teams to create significant customer impact within a dynamic environment.