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Winnow

AI-powered waste analytics for kitchens

Senior Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeLondon, UKHybrid

About the Job

Requirements

  • You may come from a product, design or engineering background; breadth and experience building products are valued over a long career in product management alone.
  • You have worked in technology and product teams and can point to outcomes you owned, not only features you delivered.
  • You have shipped products that combine hardware, software and machine learning.
  • You have designed for frontline users and spent time with them where they work.
  • You understand human-in-the-loop systems.
  • You have commercial acumen and can connect product decisions to customer and business value.
  • You are comfortable analysing data independently using SQL or product analytics tools.
  • You are technically curious and credible with engineers, though you do not need to be an engineer yourself.
  • Nice to have: experience in kitchen-tech, medical devices, frontline or industrial tools, connected home and security hardware, wearables or mobility.
  • You collaborate instinctively, build high trust with engineering and design peers, lead by context rather than control, and build relationships across teams and borders using diplomacy where needed.
  • You are user-driven, and your decisions start from what you see and hear from product users.
  • You are organised and can facilitate complex projects with many moving parts.
  • You are comfortable with ambiguity, including work spanning five hardware generations and three engineering teams.
  • You devise and execute plans with little guidance, take initiative, and empower others to do the same.
  • You communicate clearly in writing and in person, present confidently to audiences small and large, and influence non-confrontationally, including when the message is difficult.
  • You are open about what did not work, hungry for feedback, run honest post-mortems on failed bets, share learnings with your team and across Winnow, and give and receive feedback to improve performance.
  • You are passionate about the value of food and committed to the fight against food waste.

Responsibilities

  • Own the product strategy and OKRs for the Vision Suite, translating the broader product vision into a single clear roadmap that includes Machine Learning Services and Hardware priorities wherever their work affects Vision.
  • Own the Product Growth Funnel across the Vision Suite, defining clear success metrics for every major initiative, such as time to value, installation friction, usage and engagement, and AI accuracy.
  • Prioritise outcomes over output, assess feature performance, and recommend changes or removal when features no longer deliver value.
  • Build regular processes for getting the team into kitchens, including shift shadowing, site visits and empathy interviews, and share what is learned across Winnow.
  • Develop domain expertise that customers and sales trust, run discovery to find root causes, and validate value and usability before a line of code is written.
  • Design for frontline users who are time-poor, interrupted and did not choose the tool, including human-in-the-loop experiences where user corrections feed model improvement.
  • Turn discoveries into clear requirements across relevant engineering teams and lead the product trio through context and alignment rather than control.
  • Communicate the roadmap proactively, explain decision rationale and trade-offs, and build business partnerships to drive Vision end to end.
  • Launch major features on time, equipping sales with battle cards and support with documentation.
  • Manage the backlog, sprints and release notes; run backlog grooming, sprint planning and regular demos; and communicate progress and blockers openly.
  • As the role develops, take on cross-team launch synchronisation across hardware, firmware and software releases.

About the Company

Winnow

AI-powered waste analytics for kitchens

Winnow provides hardware and software to help professional kitchens measure, monitor, and reduce food waste, using Winnow Vision AI to identify and quantify discarded food. A camera above the waste bin captures images, and the AI recognizes items and records each waste event, turning it into actionable analytics. This data-driven approach scales across large hospitality groups with a SaaS model and is supported by a track record of cost savings and a B Corp certification that underlines its sustainability focus. The goal is to expand adoption of its analytics platform to cut waste and improve efficiency and sustainability in commercial kitchens worldwide.

Company size
51-200
Company stage
Series C
Total funding
$42.2M
Headquarters
London, United Kingdom
Founded
2013

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