Level

Kaluza

Product Manager - Agent Experience (Fluency in French & English required)

Kaluza is hiring a Product Manager - Agent Experience (Fluency in French & English required) in London and Paris. It pays €46k-€55k a year and Level rates it ; you can apply on Kaluza.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions LLM integration, product management and ux design among its tools and skills.
  • Kaluza has 37 other open roles on Level.
  • Posted in the last few days.

AI in this role

Lead the end-to-end product strategy for Kaluza Agent Experience, driving agent workflows, UX consistency, and AI adoption.

llm-integrationproduct-managementux-designagent-experiencestakeholder-managementbilingualcustomer-support

Product Manager - Agent Experience 

Location: Paris, France preferred, open to London applicants (hybrid, three days a week in the office)
Team: Customer care
Salary: €46,000 – €55,000 / £47,000 – £59,000
Language: Fluency in French & English
Contract: Permanent 
Reporting To: Lead Product Manager

Please note: This role requires an existing right to work in the EU. 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

  • Own the Roadmap: Lead the end-to-end strategy for Kaluza Agent Experience (KAE) within the European market—grounded in global product goals but sharpened by local client needs and agent behaviors. Driving core operational metrics (AHT, FCR, CSAT, AI adoption, onboarding)ensuring capabilities improve agent/customer outcomes.
  • Drive Journey Design & UX Consistency: Act as guardian of agent UX across KAE to ensure coherence across the experience. Partnering with UX and domain teams to apply shared patterns consistently, reduce agent cognitive load, and maintain alignment and compliance with the design system as new automation and assistive/AI capabilities are introduced.
  • Lead Integrations & Client Onboarding: Drive technical and product integrations with third-party platforms and oversee spinning up new KAE instances end-to-end for incoming clients from discovery through go-live.
  • Ensure Accessibility & Compliance: Champion EU accessibility regulations by design, translating regulatory and market-specific needs into actionable engineering requirements.
  • Engage Clients & Drive Value: Serve as the trusted expert for clients on agent experience, advocating for platform-first configuration over bespoke builds
  • Hands-on Delivery & Enablement: Maintain active involvement across the entire Product Development Life Cycle (PDLC)—from agent discovery sessions to feedback loops—and produce materials to support successful client adoption.

    (Note: Travel to client sites e.g., Brussels, is expected at roughly 1–3 trips a month initially, tapering to 1–2 times a quarter.)

What you’ll bring

Ideally, you’ll have:

  • Contact Centre & UX Expertise: Deep experience owning end-to-end user journeys for high-frequency operational tools (e.g., agent desktops), with hands-on craft in user research, journey mapping, and usability testing with agents and supervisors.
  • EU Accessibility & Platform Integration: Strong working knowledge of EU accessibility standards alongside proven experience integrating products with complex third-party platforms and vendor ecosystems.
  • Client Delivery & Market Expansion: Successful track record implementing or localizing a product for external enterprise clients, taking solutions from zero to live through discovery, configuration, and change management.
  • Data-Informed Judgement & Influence: Demonstrated ability using operational metrics (AHT, FCR, CSAT, agent effort) to defend product decisions, coupled with a platform-first mindset that prioritizes existing capabilities over custom code.
  • Bilingual Capability: Full professional bilingual fluency (written and spoken) in both English and French.

What will set you apart 

  • Experience leveraging AI tools, machine learning capabilities, or LLM integrations within product workflows to enhance platform intelligence and automation directly into customer service desktop environments.
  • Prior experience within SaaS platforms, the energy sector, or large-scale utility migrations.
  • Hands-on experience to scale UI consistency across different product teams.
  • Hands-on experience to scale UI consistency across different product teams.

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

Five values guide how we work at Kaluza:

  • 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

  • Financial & Insurance: Discretionary bonus, Alan Mutuelle Health Insurance, x3 Life & Death insurance (Prévoyance) via Alan, and standard Sécurité Sociale contributions (pension, family allowance, unemployment insurance)
  • Allowances: 50% commuting expense reimbursement, €200 Home Working Allowance, and €150 Learning Fund
  • Time Off & Flexibility: 25 days holiday + bank holidays + RTT days, Moments That Matter Leave, Compassionate Leave, two paid Volunteering Days, Flexible Working, and Career Break eligibility

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.

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

Product Manager - Agent Experience (Fluency in French & English required) at Kaluza rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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

LLM IntegrationProduct ManagementUX DesignAgent ExperienceStakeholder ManagementBilingualCustomer Support

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$180k

Use the typical AI product manager figure as a reference when pay comes up. See AI product manager jobs

Questions you could be asked

  1. How have you integrated a large language model into a production application?
  2. Tell me about a project where product management was part of your work. What did you do?
  3. Tell me about a project where ux design was part of your work. What did you do?
  4. Tell me about a project where agent experience was part of your work. What did you do?
  5. Tell me about a project where stakeholder management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: LLM Integration, Product Management, UX Design, Agent Experience, and Stakeholder Management. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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