Software Engineering Manager

Job Title: Software Engineering Manager

Location: Paris (Hybrid)

Salary: €72,800 - €91,,000

Team: Client Engineering

Reporting To: Head of Client Engineering

This role is based in Paris and requires an existing right to work in France. At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.

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, North America, 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 will I be doing?

• People Leadership & Growth: Look after up to 2 cross-functional teams of engineers (up to 10 direct reports), nurturing engineering talent, encouraging personal development, and managing performance to ensure alignment with delivery objectives.
• AI-Informed Team Development: Actively develop your teams’ AI capabilities — identifying skill gaps, sponsoring learning, and embedding AI-assisted practices into day-to-day engineering. You’ll be the bridge between Kaluza’s AI ambitions and your teams’ day-to-day reality.
• Client Engagement & Value Delivery: Work closely with major partners like ENGIE, alongside product managers and client success teams, to translate complex client requirements into technical reality and ensure high-value delivery.
• Technical Guidance: Leverage your technical background to contribute to architecture and implementation discussions, ensuring systems are robust, scalable, and resilient — and that AI tooling is thoughtfully integrated where it adds genuine value.
• Strategic Roadmap Execution: Drive the technical roadmap and strategy for your domain, steering both the technical and product vision to ensure your team’s products are highly successful.
• Operational Excellence: Champion ways of working across your teams, eliminating engineering blockers, optimising delivery, and ensuring AI adoption translates into measurable productivity and quality improvements.

About You

Ideally you'll have/be:

• Engineering Management Experience: Proven experience in an Engineering Management or related leadership role guiding high-performing, cross-functional engineering teams.
• AI Leadership: Experience leading teams through AI adoption, whether introducing LLM-powered tooling, AI-assisted workflows, or a broader cultural shift toward AI-informed engineering. You know how to move a team from curious to capable.
• Client-Facing & Relationship Mastery: Strong track record of developing and maintaining positive client relationships, actively listening to needs, providing transparent communication, and managing stakeholder expectations.
• Modern Technical Architecture: An excellent understanding of distributed architectures and event-based systems (e.g., Kafka), with enough hands-on background to guide senior engineers confidently.
• Agile Frameworks: A fundamental and practical understanding of Agile and Lean software development practices.
• Communication & Collaboration: Superb communication and interpersonal skills, with experience collaborating closely with senior leaders, product managers, and external technical teams.

What will set you apart:

• LLM Integration at Team Scale: Hands-on familiarity with LLM APIs and agentic workflow patterns, with experience helping engineering teams move beyond personal experimentation into shared, production-ready AI practices.
• Knowledge Amplifier: Experience acting as a connector between teams — ensuring AI learnings, patterns, and wins don’t stay siloed but spread across an engineering organisation.
• Domain Expertise: Background in enterprise billing, finance and ledger tooling, payments systems integration, or ecommerce.
• Client-Delivery: Experience on consulting, SaaS onboarding, or client-delivery technical programmes where engineering quality directly impacts client relationships.

Kaluza Values

Here at Kaluza we have five core values that guide us as a business:

Play to win, Solve the real problem, Build trust every day, Own the outcome, Go further together.

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 .

You can also find our Applicant Data Protection Policy here .