VP Product

Requirements

• 8+ years of product management experience, with at least 3+ years in a senior leadership role (VP, Head of Product, or Director) within a fast-growing B2B tech scale-up.
• Proven experience scaling a data platform product where one product's output feeds another's value proposition — understanding how to sequence roadmaps across upstream and downstream dependencies, and maintaining a coherent platform architecture while serving distinct buyer personas.
• Deep technical fluency in machine learning lifecycles, computer vision, data labeling pipelines, and edge‑AI computing. Expected to work within technical constraints, grounding product decisions in what is actually buildable with available data, and challenging AI researchers on accuracy, model drift, and data ingestion metrics.
• Experience and understanding of the unique friction of physical supply chains, hardware retrofitting, firmware updates, and how they interact with cloud‑based software layers.
• Strong background in owning B2B data products that serve multiple distinct buyer types - understanding how to translate the same underlying dataset into different value propositions for different audiences, without fragmenting the platform beneath them.
• Experience defining monetisation strategies for hybrid models (e.g., upfront hardware costs paired with recurring SaaS data subscriptions).

What the job involves

As our VP of Product, you will own the vision, strategy, and execution of Greyparrot’s dual‑pronged product ecosystem. Your work will bridge the gap between sophisticated hardware deployment and deep, data‑driven AI software platforms. This is a pivotal executive role for a platform thinker. Greyparrot operates across two distinct buyer markets - recycling facility operators and the brands and regulators who depend on packaging performance data - served through a single underlying AI intelligence platform. The VP of Product owns the roadmap and architecture logic that connects these two surfaces, ensuring the right sequencing of investment so that growth in one directly compounds the value delivered by the other. This requires deep technical fluency in AI and data pipelines, commercial instinct across two very different buyer types, and the strategic clarity to build a coherent platform while serving audiences with fundamentally different needs. This role will be based in our London office at least one day a week, and reports directly to Ambrish, our Cofounder.