Head of Product & AI

Simply TV
Madrid, Comunidad de Madrid
Tiempo completo
hace 1 semana

About Simply.TV

Simply.TV is a high-growth, PE-backed metadata and content discovery platform serving broadcasters, telcos, and streaming platforms globally. Backed by Summit Partners, we recently expanded into the U.S. with the acquisition of FYI (formerly Red Bee Media’s metadata division) — marking the first step in our ambitious M&A and global growth strategy.

We operate at the intersection of metadata and content intelligence, powering modern entertainment discovery experiences. We are now building the next generation of data-driven products: blending editorial-grade quality with AI-powered automation, analytics, and personalized discovery.

The role

We’re seeking a Head of Product & AI to lead our full product organization and AI product strategy. This is a highly strategic role responsible for setting and executing the company-wide product roadmap — with direct accountability for both customer-facing product innovation and AI-driven internal tooling.

As Simply.TV transitions from a pure metadata provider to a broader data and analytics platform, this leader will be pivotal in scaling product development, embedding AI across the value chain, and driving commercial and operational impact.

You will report directly to the CEO, work closely with our board, and serve as the strategic link between Engineering, GTM, Operations, and Data.

Key Responsibilities

Product Strategy & Roadmap

  • Define and own the end-to-end product vision, strategy, and roadmap across our product offerings
  • Build and maintain a rigorous prioritization process grounded in customer impact, commercial value, and technical feasibility
  • Collaborate with Commercial, Operations, and Engineering to align roadmap with business objectives and market feedback
  • Present roadmap updates and tradeoffs directly to the CEO, Leadership Team, and Board

AI and applied ML leadership

  • Drive Simply.TV’s AI product strategy, shaping how AI is embedded across both external products and internal operations
  • Design and lead initiatives that apply AI and LLMs to elevate our data platform and editorial workflows
  • Identify high-impact use cases where AI can enhance customer value or drive operational efficiency
  • Expand and evolve our AI-powered product features, ensuring they align with customer needs and market trends
  • Evaluate, test, and integrate cutting-edge AI models, frameworks and toolkits

Product execution and team leadership

  • Build and lead a high-performing Product & AI team — hiring PMs, ML product leads, and analysts as needed
  • Establish product development best practices (OKRs, product specs, feedback loops)
  • Drive clear handoffs with Engineering, ensure on-time delivery, and uphold quality standards
  • Foster a culture of experimentation, iteration, and customer obsession

Requirements

  • 8+ years of experience in Product Management, with 3+ years in AI/ML product leadership
  • Deep expertise in applied AI/ML, with a track record of building and scaling AI-native products
  • Experience working with LLMs and generative AI, ideally in areas like content processing, natural language understanding, or search
  • Background in or deep familiarity with data-centric companies, with a strong grasp of data pipelines, governance, and quality
  • Proven ability to set product vision, translate into actionable roadmaps, and drive org-wide alignment
  • Experience applying AI/ML to complex, high-volume data environments (e.g. media, SaaS, search, marketplaces, etc.)
  • Sharp product instincts and bias for execution in dynamic, high-growth settings
  • Executive presence with ability to present to board-level stakeholders and communicate tradeoffs clearly
  • Strong understanding of the metadata and media landscape is a plus (EPGs, schedules, enrichment, etc.)
  • Familiarity with modern AI/ML tooling: OpenAI, HuggingFace, LangChain, Pinecone/Weaviate, etc.
  • Ability to engage deeply with engineers and data scientists to scope AI solutions
  • Solid grasp of LLM architectures, retrieval-augmented generation, fine-tuning, and evaluation metrics
Postular
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