Delivery Manager, Recycleye
AI-powered waste sorting robotics
Be an early applicant
AI-powered waste sorting robotics
101-200 employees
Be an early applicant
101-200 employees
Company mission
To deliver more profitable materials recovery through robust, reliable and effective sorting technology.
Role
Who you are
- The ideal candidate brings experience in industrial machinery, a deep understanding of optimizing processes, a hands-on mindset, and cross‑functional team collaboration
- Proven experience managing engineering or plant operations teams (6+ direct reports preferred)
- Hands on mindset, happy to spend plenty on site, not bothered by working with waste
- Must be detailed oriented, almost to the point of obession
- Highly curious, inquisitive mindset, desire to understand the why behind the data
- Strong background in industrial machinery, or complex technical operations
- Demonstrated experience in systems design, process optimisation, and operational workflow development
- Excellent problem‑solving abilities, with a track record of managing technical challenges and project risks
- Exceptional communication and collaboration skills, with experience working cross‑functionally and with client‑facing teams
- Ability to thrive in a fast‑paced, evolving environment
- Even if you don’t tick every box listed above but are motivated by our work and believe you can make a difference on our team, we’d really love to hear from you – so please do apply and drop us a note about what you bring!
What the job involves
- We are seeking an experienced Delivery Manager to lead a high‑performing team of Technicians and Data Analysts who make up our Application Engineering Team and are responsible for optimising the performance of our cutting edge machines, in the field and in our test centre
- Recycleye is able to sort a limitless number of waste stream
- For each new type of waste we need to develop a strong AI model by scanning many items in our test centre or at customer sites (e.g. bricks, circuit boards, PET bottles, etc), these scans are managed in a waste taxonomy (contains hundreds of thousands of labelled images), we then deploy these on our machines and adjust aggressivity of detection, belt speeds, ejection parameters, etc
- This pipeline is managed by the Application Engineering Team that is currently made up of 3 data analysts (managing the data) and 3 test centre engineers currently operating the test centre and supporting commissioning of newly installed units in the field
- This role combines technical leadership, operational excellence, and strong people management
- This right culture fit for this role will see that this is not a desk job—we need someone who thrives on being in the mix with their team, constantly problem-solving, and refining technical processes in a dynamic, real-world environment
- You and your team will work closely with the Product and Performance teams, calibrating vision systems, optimising sorting recipes, and managing waste sample logistics, all while developing innovative methodologies to enhance material recognition and classification
Salary benchmarks
Our take
Almost all materials can be recycled or re-used if properly collected, aggregated and processed. Recycleye is out to revolutionise recycling and accelerate the transition towards a circular economy, with its neural network providing a system that can identify and classify recyclable materials leading to more efficient sorting.
As well as conducting paid pilots with the waste industry, Recycleye has partnered with Imperial College, Microsoft and Netherland’s Delft University to develop AI and machine learning. This ensures Recycleye has the newest capabilities and systems within its pipeline, keeping it at the forefront of development.
With the need for transparent and low cost waste-sorting solutions only expected to grow, Recycleye is operating in a lucrative space. It has received positive attention and good funding because its system is affordable, data driven, and reduces the need for manual sorting - all contributing to a positive looking future.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Feb 2023
$17m
SERIES A
Sep 2021
$4.8m
SEED
Total funding: $25.2m
Company benefits
- Unlimited holiday
- Built-in upskilling
- Vitality insurance
- Monthly socials
- Annual retreat
Company HQ
Stratford, London, UK
Leadership
Victor Dewulf
(Co-Founder & CEO)Completed a PhD in Environmental Engineering and Computer Vision and previously worked as an Analyst at Goldman Sachs.
Peter Hedley
(Co-Founder & CTO)Completed a Master's in Computer Science at Imperial College and has worked as a Data Scientist prior to founding Recycleye.
Share this job
View 4 more jobs at Recycleye