Senior Product Manager
vor 1 Tag
Must-Have Experience
- 5+ years of product management experience, including at least 2 years building or managing AI/ML or data-driven products.
- Strong technical fluency in AI/ML fundamentals — data pipelines, modeling, experimentation, and inference.
- Proven ability to translate analytical insights into customer value or business impact.
- Excellent stakeholder management and communication skills, bridging technical and non-technical audiences.
- Strategic, outcome-oriented mindset — focused on delivering measurable value, not just features.
- Fluency in English (C1+) and German (C1) for effective cross-functional collaboration.
- Based in or willing to relocate to Hamburg.
Nice-to-Haves
- Experience in energy, mobility, or smart infrastructure sectors.
- Background in automation or conversational AI (chatbots, recommendations, NLP).
- Familiarity with LLMs, generative AI, or prompt engineering.
- Understanding of AI governance, ethics, and monitoring best practices.
Location: Hamburg, Germany (Hybrid – up to 2 remote days/week)
Team Sizes: Newly formed (Engineering team + 1 Product Manager)
Employment Type: Full-time, Permanent
At Rabot Energy, we believe in autonomy, collaboration, and purpose. You'll join a dynamic, international team that values open communication, shared learning, and ownership over hierarchy.
We move fast, experiment often, and make decisions based on data and impact. Everyone has a voice here - and the freedom to shape how we grow.
Why This Role MattersAt Rabot Energy, we're on a mission to make green energy smarter, simpler, and more accessible for everyone. We offer dynamic electricity tariffs and intelligent energy management solutions that help households and businesses save money while contributing to a cleaner energy future.
To accelerate our next wave of innovation, we're building a dedicated AI & Product Innovation team — focused on leveraging artificial intelligence to enhance customer experiences, optimize operations, and unlock new business models.
As our Senior Product Manager – AI, you'll define and deliver the vision for how AI is integrated across Rabot's product ecosystem — from predictive insights and automation tools to smart, data-driven customer interactions. You'll collaborate closely with Data Science, Engineering, and Product teams to turn cutting-edge AI ideas into tangible, scalable solutions that drive real impact.
If you're passionate about connecting innovation with purpose, this is your opportunity to help shape the future of green energy through AI.
Why Join Rabot Energy- Be part of a mission-driven company shaping the future of green energy in Europe
- Work with modern technologies and a talented, passionate engineering team
- 100% established and transparent career framework
- Backed by top investors (HV Capital and Bosh), €30m+ in funding
- Enjoy flexible hybrid work, with up to 2 remote days per week
- Access to learning, development, and well-being programs, including Urban Sports Club membership
- Flat hierarchies, quick decisions, and space to make a real impact
- Workation: 2 weeks per year from anywhere in the EU
- Extra holidays on Christmas Eve and New Year's Eve
For all our positions, we are open to providing flexible work arrangements to accommodate the unique needs of each individual.What Success Looks Like (6–12 Months)
- You've defined and launched the first AI-powered MVP within Rabot's ecosystem — such as a customer support assistant, predictive energy insights, or internal automation tool.
- You've established a clear AI product framework, ensuring smooth collaboration across Data, Product, and Engineering.
- You're recognized as the go-to person for AI strategy within Rabot Energy.
- AI performance metrics (adoption, ROI, automation rate, accuracy) are defined and actively guide roadmap decisions.
- You've laid the foundation for a long-term AI roadmap and capability framework, shaping Rabot's AI-driven future beyond 2026.
- Define and own the AI product vision, strategy, and roadmap across Rabot's ecosystem.
- Identify, evaluate, and prioritize high-impact AI use cases across customer experience, energy intelligence, and internal operations.
- Drive discovery and experimentation, rapidly prototyping and validating new AI initiatives.
- Collaborate with Data Science and Engineering to design, build, and deploy end-to-end AI-powered features.
- Translate complex business and technical challenges into clear product requirements and measurable outcomes.
- Work cross-functionally with Product, Design, and Operations to ensure adoption and long-term impact of AI solutions.
- Develop and track success metrics for AI initiatives, including performance, adoption, ROI, and automation outcomes.
- Champion responsible AI principles — ensuring transparency, privacy, and ethical standards in every implementation.
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