- Location
- London, England, United Kingdom
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Product
- Seniority
- Senior
- Source
- Recruitee
Description
About Greyparrot
At Greyparrot, we are 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, our technology processes billions of waste objects, turning waste into actionable data.
Through our hardware-enabled SaaS model, including the Greyparrot Analyzer, which uses computer vision above recycling conveyor belts, and Deepnest, our packaging intelligence platform, we help recycling facilities, consumer goods businesses and regulators understand packaging performance, improve recovery and make better operational and commercial decisions.
About the Role
We are looking for a hands-on Senior Product Manager to help us mature and improve our established product ecosystem.
This is an individual contributor role for someone who enjoys being close to customers, working through detail with designers and engineers, and taking ownership from early discovery through delivery, adoption and continuous improvement.
Our Product team is small. You will work directly with our Product Designer and partner closely with Engineering, AI, Commercial and Customer teams. You will bring structure and momentum to the day-to-day product process while remaining comfortable doing the practical work yourself, from customer interviews and problem definition to writing clear requirements, testing solutions and reviewing results after launch.
The product is already in market, so the focus is on understanding where it can work better, strengthening the customer experience and improving how our software, data and physical systems work together in live production environments. You will contribute to the roadmap within the product direction set by our leadership, rather than being expected to define company-wide product strategy or build a new function from scratch.
This role will be based in our London office at least one day a week and reports directly to Ambrish, our Cofounder and Exec Team.
Key Responsibilities
Own the product lifecycle: Manage work from discovery and validation through prioritisation, delivery, launch, adoption and iteration. Make sure we learn from what we release and use those insights to improve the product.
Mature the existing product: Identify opportunities to improve usability, onboarding, reliability, customer value and operational efficiency across products already used in live customer environments.
Stay close to customers: Spend time with recycling operators, enterprise customers and internal teams to understand real workflows, pain points and priorities. Turn what you learn into clear product problems and measurable outcomes.
Shape and manage the roadmap: Work with cross-functional leaders to translate product direction into a focused, realistic roadmap. Balance customer needs, commercial priorities, technical dependencies and longer-term product health.
Define clear product work: Write practical requirements, user stories and acceptance criteria. Partner closely with our Product Designer to test assumptions and ensure proposed solutions are useful, usable and ready for Engineering.
Partner with Engineering: Work day to day with technical teams to understand constraints, make sensible trade-offs and keep delivery moving. Be comfortable discussing data quality, system dependencies and the realities of software connected to hardware.
Support delivery and launch: Maintain clarity on scope, decisions and progress throughout development. Coordinate with Commercial and Customer teams so releases are understood, introduced well and supported by the right product knowledge.
Measure product performance: Define practical success measures and use product data, customer feedback and operational insight to assess adoption, retention and value. Use evidence to recommend what should change next.
Strengthen product ways of working: Help a small team establish lightweight, repeatable practices for discovery, prioritisation, decision-making and delivery without adding unnecessary process.