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Kaluza

UX Designer

Kaluza is hiring a UX Designer in Bristol and London, United Kingdom. It pays £58k-£70k a year and Level rates it ; you can apply on Kaluza.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Claude and Claude Code among its tools and skills.
  • Kaluza has 36 other open roles on Level.
  • Posted in the last few days.

AI in this role

claudeclaude-code

UX Researcher (Global) 

  • Location: Bristol/London, UK (hybrid, three days a week in the office)
  • Team: Global UX
  • Salary: £58,000 - £70,000
  • Contract: Permanent
  • Reporting To: UX Lead

Please note: This role requires an existing right to work in the UK. We can’t offer visa sponsorship, but we review sponsorship role by role, so keep an eye on our careers site for future opportunities.

About Kaluza

Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future.

Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.

With teams across Europe, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.

What you’ll do

Hands-on research

  • Run mixed-methods research in a B2B2C setting, combining qualitative studies with behavioural data in Mixpanel, that sets the standard for good research and shapes team roadmaps and client conversations
  • Research the whole chain, from client teams and subject matter experts to their end customers and the developers using our SDKs and APIs, and look for patterns that hold across clients so we build once and reuse
  • Make sure research has impact: track whether it changed a decision and what result followed, and use that to make the case for research investment

Research enablement and operations

  • Democratise research: coach and mentor colleagues in Product, Design and Engineering to run their own studies with rigour, through workshops, guidance and lightweight methods
  • Make insight easy to find and trust, through our insights agents, knowledge bases and journey management artefacts, backed by data you can rely on (quality, privacy, bias), so people can find and question evidence themselves
  • Help run research operations: improve how we recruit participants (frameworks, lead times, consent and data protection), and set clear guardrails so teams run ethical, compliant research
  • Assess and recommend research tools, deciding when to build and when to buy, trial them, and support procurement; use AI-assisted development such as Claude Code to build working tools where that is the right call

What you’ll bring

Ideally you’ll have/be

  • A track record of running research end to end that other teams used in product or roadmap decisions, with strong data literacy: you combine qualitative methods with behavioural data and know what the numbers can and can’t tell us
  • Experience researching in B2B or B2B2C or enterprise contexts, including technical users such as developers (eg SDKs, APIs or documentation), or a strong appetite to learn how
  • Experience coaching non-researchers in research fundamentals (interviewing, bias mitigation, ethical handling of user data) so they can self-serve
  • Experience on a platform or multi-client product, spotting patterns across customers, and familiarity with journey mapping or service design methods
  • Experience in research operations or enablement, such as participant recruitment, consent and data governance, repositories or tool selection, with judgement on when to build and when to buy
  • Confidence working with some autonomy across a distributed, international team

What will set you apart 

  • You’ve built a tool, repository or pipeline that measurably cut the time from research signal to team-wide insight
  • You’ve found a way to measure developer experience where there was no playbook (eg time to first successful call, or where developers drop off)
  • You’ve made the case for research with real numbers, and followed your research after the readout to see what happened

Where you'll work
We offer flexible working, with an expectation of 3 days a week in the office. This gives us the best of both: real time together to collaborate and build relationships, with the flexibility to work in the way that suits you best the rest of the week.

Our Values

  • Play to win: Collective pride in decarbonising energy at scale.
  • Solve the real problem: Cutting through complexity to focus on real-world outcomes.
  • Build trust every day: Consistency, transparency and doing what we say.
  • Own the outcome: Full accountability, wins and setbacks, without ego.
  • Go further together: Collaboration, respect and different perspectives.

Our Perks

  • Time off and family: 26 days’ holiday, plus 26 weeks’ full pay for new parents with no qualifying service period
  • Health and security: Private medical insurance with virtual GP, life assurance, pension scheme, free mortgage advice and eye tests
  • Pay and flexibility: Discretionary bonus, a Flex Fund of 5% [of salary] to spend on the benefits you want most, retail discounts through Perks at Work
  • Growth and setup: Personal learning budget, home office budget
  • Climate: Furthr, our climate action app

Come as you are

We want to meet people from all walks of life. The more inclusive we are, the better our work will be, and we recognise talent on merit and potential. If you’re excited about the role but don’t tick every box, we’d still love to hear from you.

Find out more on our careers page and LinkedIn. Our Applicant Data Protection Policy is here.

How we rate this

UX Designer at Kaluza rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ClaudeClaude Code

Questions you could be asked

  1. What's a project where you used Claude hands-on?
  2. Walk me through how you've used Claude Code in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Claude and Claude Code. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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