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Product Owner/Manager
hace 5 horas
As our Product Manager/Owner, you will sit at the intersection of AI platform development and sustainable packaging innovation. You will own the product lifecycle end-to-end, from discovery and validation to delivery and adoption, ensuring our AI-driven platform delivers measurable business and sustainability impact for customers in the packaging value chain (material suppliers, converters, brands etc.)
You will report directly to our Co-founder and will work closely with Engineering, Data, Design, and Go-to-Market teams, translating real customer problems into scalable, high-impact product solutions.
This role requires end-to-end (design and execution) management and ownership of Product cycle. Further details below.
We are open to remote candidates within Europe (+/- 2hrs CET), with a preference for Spanish or German based candidates who can be directly employed. Any other locations would be managed through Employer of Record services.
Experience: 3–6+ years in a Product Owner or Product Manager role, preferably in B2B SaaS or R&D-oriented platforms. Early stage start up experience is a must.
Discovery-Led Mindset: Proven experience leading user research, problem framing, and solution validation with external stakeholders.
Technical & AI Literacy: Comfortable discussing software terminology, data based product ideas, and AI concepts (e.g., model, data and agent-specific technical concepts) without needing to code.
Sustainability Motivation: Strong interest in circular economy, materials science, or sustainability-driven innovation
Collaboration & Communication: Able to align diverse stakeholders and translate complex technical topics into clear product decisions.
Language: Professional fluency in English; additional languages are a plus.
Tools: Experience with Agile and discovery tools (Jira, Confluence, Figma, Miro, or equivalents).
•fıve valuesHow you'll help build one
•fıve1. Product Discovery & Strategy
Customer & Problem Discovery: Lead continuous discovery with external stakeholders (brand owners, R&D, manufacturing, sustainability teams) to deeply understand workflows, constraints, and decision-making processes.
AI Value Identification:Identify and prioritise opportunities where data, AI, and software can deliver the highest ROI, balancing customer impact, feasibility, and scalability.
Hypothesis-Driven Validation: Partner with Engineering to test assumptions through prototypes, experiments, and MVPs before committing significant development effort.
Outcome Ownership: Define and track product success metrics, focusing on:
User adoption and engagement
Product-level data quality and reliability signals
Quantifiable ROI and environmental impact improvements for customers
Strategic Alignment: Contribute to product vision and roadmap discussions, ensuring alignment with company strategy and customer value.
Roadmap & Backlog Ownership: Develop the product roadmap and translate it into a clear, prioritised backlog in collaboration with Engineering and Data leads.
Decision-Making & Trade-offs: Manage scope, timelines, and trade-offs, clearly communicating risks, dependencies, and options to stakeholders and leadership.
Cross-Functional Alignment: Serve as the primary product contact for Sales, Marketing, and Customer Success to ensure consistent expectations around releases and capabilities.
Enablement & Adoption: Partner with Customer Success/Sales to ensure customers have access to regular updates, customized training and support to adopt the platform.
Collaborate with Engineering, R&D, and Data Leads during discovery and backlog refinement to assess the feasibility of proposed AI features, ensuring key assumptions and constraints are surfaced early.
Align product backlog priorities with technical debt and platform needs in partnership with Engineering Leads, making trade-offs between new functionality and system maintenance.
Support coordinated releases by aligning backlog readiness, documentation, and stakeholder communication across teams.
