VP Product

• Own the vision, strategy, and execution of Greyparrot's dual-pronged product ecosystem, bridging sophisticated hardware deployment with deep, data-driven AI software platforms. • Operate 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. • Hold a pivotal executive role reporting directly to the Cofounder and CPO, requiring deep technical fluency in AI and data pipelines, commercial instinct across two buyer types, and strategic clarity to build a coherent platform.

• Bring 8+ years of product management experience with at least 3+ years in a senior leadership role such as VP, Head of Product, or Director within a fast-growing B2B tech scale-up. • Have 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. • Have deep technical fluency in machine learning lifecycles, computer vision, data labelling pipelines, and edge-AI computing, grounding product decisions in what is actually buildable with available data. • Have experience and understanding of the unique friction of physical supply chains, hardware retrofitting, firmware updates, and how they interact with cloud-based software layers. • Have a strong background in owning B2B data products that serve multiple distinct buyer types, translating the same underlying dataset into different value propositions without fragmenting the platform. • Have experience defining monetisation strategies for hybrid models such as upfront hardware costs paired with recurring SaaS data subscriptions.

• Have experience in the waste management, recycling, or circular economy sector. • Bring experience working with IoT or edge computing hardware deployed in industrial environments. • Have experience with product-led growth strategies in B2B data platform contexts. • Have experience challenging AI researchers on accuracy, model drift, and data ingestion metrics.

• Shape and execute a unified product roadmap spanning the Analyser hardware units, AI/computer vision data extraction, the Analyser operator portal, and the Deepnest packaging intelligence platform. • Own the data platform architecture and roadmap that connects Analyser output to Deepnest intelligence, partnering with the Deepnest PM on surface-level execution while retaining strategic ownership of the platform layer beneath. • Ensure all product design and UX decisions are grounded in available data models and technical reality before reaching engineering, being accountable for the quality and implementability of product specifications. • Act as a peer to Engineering and AI Research, translating commercial requirements into technically grounded product decisions. • Lead and develop a lean, high-impact product management and design team, fostering a culture of high accountability, rapid experimentation, and structured delivery. • Define, track, and optimise core product KPIs driving product-led growth indicators, client retention, and data-accuracy features. • Act as the voice of the customer, spending time on-site at recycling facilities as well as in the boardrooms of enterprise sustainability and operations executives.

• Work hybrid from the London office at least one day per week. • Report directly to the Cofounder and CPO. • Join a pioneering AI company tackling the global waste crisis. • Work with world-leading FMCG brands including Kenvue, Unilever, and L'Oréal.

Greyparrot is on a mission to solve the global waste crisis by introducing transparency and automation to a traditionally opaque sector. As the pioneer of AI-powered waste intelligence, the company's technology processes billions of waste objects, turning trash into actionable data. Through a hardware-enabled SaaS model comprising the Greyparrot Analyzer and Deepnest packaging intelligence platform, the company empowers recycling facilities, FMCG giants, and global regulators to track packaging performance, maximise recovery, and turn circular economy aspirations into reality.