Job title: Product Manager
Location: London (Including Hybrid)
Salary: £62,500 - £76,750
Closing date for applications is Friday 6th June 2025
Kaluza reimagines energy to bring net-zero within everyone’s reach. The Kaluza Platform enables energy utilities to unlock the full value of a radically changing energy system and propel us to a future where renewable energy is sustainable, affordable and accessible for all.
From automating and simplifying core operations including billing to create a lower-cost, higher-engagement experience, to optimising energy usage across smart devices in the home, we turn tough challenges into win-win-win outcomes for customers, suppliers and the energy system.
We have a strong flexible, hybrid working ethos, we aim to be as flexible as possible to balance work with life. Teams can choose how and where to work, whether it’s from one of our lovely offices or from home or a mixture of both. Each team is different but we do like to get together monthly/quarterly as teams - if they are not at your local office we will cover the costs of travel and accommodation if necessary. As a company we come together annually for our conference and end of year celebrations!
Where in the world of Kaluza will I be working?
You’ll be working in Kaluza’s Data Products team, at the intersection of our core platform, our clients, and the data that underpins every energy product we offer. This team provides the analytical insights, and machine-learning (ML) products that power smarter decision-making across the platform. From building ML models that are implemented and scaled across Kaluza to driving customer-facing analytics and insights, your team’s work will be central to helping Kaluza and its clients to harness the full potential of their data and drive the future of AI in energy.
You’ll be joining the Kaluza Product community. We’re a group of Product Managers and Leaders focused on translating complex needs into simple and innovative solutions that solve real customer and business problems.
What will I be doing?
As the Product Manager for Data Products, you’ll work with engineers, data scientists, and other domain experts to build scalable data analytics and AI/ML-enabled products that help our clients to reduce their operational costs and support our mission to decarbonise the lives of their customers. Your team will work with data from a diverse array of sources - from smart meters, IoT connected smart devices, pricing and billing systems, third-party datasets to products used by platform users such as Customer Service Agents. Your team will both build such products independently as well as build tooling and document best practices that make it easier for other product teams to deploy data products of their own.
Responsibilities
Is this the job for me?
You’re the right person for us if you…
Kaluza Values
Here at Kaluza we have five core values that guide us as a business:
We’re on a mission, We build together, We’re inclusive, We get it done, We communicate with purpose.
Our values are not words on a wall — they are at the heart of our culture. They are how we make decisions and how we treat each other. They are concrete and clear, and reflect what we as people, and as a business, really care about.
Kaluza’s vision is to power a world where net-zero is within everyone’s reach. Would you be interested in joining us to help achieve this?
From us you’ll get
Even better? You’ll have access to these benefits from day 1 when you join.
We want the best people
We’re keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential.
We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you.
Find out more about working in Kaluza on our careers page and LinkedIn.