Senior Product Manager

About the role

Greyparrot is seeking a hands‑on Senior Product Manager to mature and improve its AI‑powered waste intelligence product ecosystem. This individual contributor role works closely with customers, designers and engineers, taking ownership from discovery through delivery, adoption and continuous improvement.

Key responsibilities

• Own the full product lifecycle, from discovery and validation to launch, adoption and iteration, using learnings to drive improvements.
• Identify and execute opportunities to enhance usability, onboarding, reliability and operational efficiency of existing products in live customer environments.
• Engage directly with recycling operators, enterprise customers and internal teams to translate real‑world workflows into clear product problems and measurable outcomes.
• Shape and manage the roadmap in partnership with cross‑functional leaders, balancing customer needs, commercial priorities and technical dependencies.
• Write practical requirements, user stories and acceptance criteria, and partner with the Product Designer to test assumptions.
• Collaborate daily with Engineering, Data and AI teams, making trade‑offs and ensuring delivery stays on track.
• Support launch activities, coordinate with Commercial and Customer teams, and measure product performance against defined success metrics.

Required profile

• Extensive commercial product management experience, with a proven record of owning products through the full lifecycle.
• Hands‑on experience improving and maturing established B2B software or data products after launch.
• Ability to work effectively in a small, lean product team, handling discovery, requirement writing and delivery support.
• Experience in industrial, manufacturing, recycling, logistics or similar physical production environments is valuable.
• Strong product discovery skills, including customer interviews, problem definition and hypothesis testing.
• Excellent communication skills, capable of bringing structure to complex discussions and aligning teams.

Required skills

• Understanding of how software interacts with hardware, operational workflows and real‑world constraints.
• Comfort working with engineering, data and AI teams, asking informed questions and making clear trade‑offs.