Product Manager Commerce growth

• Shape the strategy and backlog for Eneco’s owned commercial sales channels
• Shape how AI changes the funnel: design journeys where an agent recommends, negotiates and closes, with clear guardrails on margin, compliance and customer trust
• Work closely with engineers, designers, analysts, and business stakeholders to turn opportunities into shipped impact
• Identify where customers drop, hesitate, or lose confidence and turn those insights into focused product bets
• Lead a sharp experimentation agenda on conversion and retention, and use LLMs to go faster on hypotheses, funnel diagnosis, copy variants and readouts without losing rigour
• Challenge assumptions with data and evidence, and keep the team focused on measurable outcomes in a complex environment 

You are likely a strong fit for this role if the statements below describe you.

• You have led meaningful improvements in conversion, retention, revenue or funnel performance, and at least one of those stories involves an AI or LLM-driven product choice
• You are highly data-driven, comfortable with funnel analytics and experiment results, and you use LLMs deliberately to go faster without losing rigour
• You are meticulous, structured, and strong in prioritisation
• You have a strong product craft foundation: strategy, discovery, roadmap quality, stakeholder alignment, and execution
• You know how to lead a cross-functional team with clarity, principles, and high standards
• You preferably are fluent in AI product work at a working level: you have shipped LLM-powered features in production and you have opinions on prompting, evals, guardrails and RAG. You set the quality bar on AI output, not your engineers
• You have a point of view on what agentic commerce and external LLM distribution mean for a business like ours, and you want to be the one shaping it
• You can balance short-term commercial wins with long-term product quality
• You communicate crisply, challenge constructively, and know how to influence senior stakeholders 

• The end-to-end product strategy and roadmap for our online sales and retention journeys
• Conversion optimisation across the funnel, from first interaction to completed purchase or renewal
• A strong experimentation agenda, including hypothesis creation, prioritisation, test design, and readout
• Improvements to acquisition, renewal, upsell, cross-sell, and win-back journeys
• Product decisions grounded in customer insight, funnel analytics, and commercial performance
• Clear product principles that help the team make better, faster, and more scalable decisions
• AI-driven selling on our own surfaces: conversational and agentic commerce through Eva on app and web, from first question to signed contract
• Our commercial presence inside external LLMs (ChatGPT, Perplexity, Gemini, Copilot): how customers discover, compare and ultimately transact with Eneco there