Product Manager

Overview At Factbird, we’re redefining how manufacturing runs. By combining hardware, firmware, cloud, and AI, we turn raw production data into real, measurable impact on factory floors around the world. Location Location: United States About the role This is a high-impact, hands-on product role at the core of Factbird’s growth. As our AI Product Manager, you’ll define the AI product vision, own the roadmap, and drive execution from idea to launch — and beyond. You’ll work closely with AI engineers and data teams as a true technical partner — shaping features based on a deep understanding of machine learning models, data pipelines, and production constraints. Reporting to the Head of Product, you’ll play a key role in shaping how our AI platform scales — and how our customers create measurable value on the factory floor. Location & relocation This role is based in Copenhagen, Denmark, where you’ll work closely with our product and engineering teams. If you’re currently based elsewhere, relocation support is available for the right candidate. Key Responsibilities Define AI product direction: Own and drive the AI product vision — focused on solving real production bottlenecks through robust, scalable ML solutions. Turn ML capabilities into real features: Translate machine learning opportunities into concrete product features. Work closely with AI engineers to scope models, define inputs/outputs, understand constraints, and ensure production readiness. Design with data in mind: Partner with data engineers to define data requirements, ensure data quality, and build strong pipelines that support reliable model training, validation, and monitoring. Drive technical decision-making: Understand model limitations, trade-offs, drift, latency, edge vs. cloud processing, and performance constraints in industrial environments — and use that insight to guide prioritization. Own performance and outcomes: Define and track both model performance metrics (precision, recall, drift, stability) and business KPIs (uptime, cost savings, throughput improvements). Launch, learn, iterate: Drive structured experimentation, MVP validation, and iterative improvements based on real-world production data. End-to-end ownership: Manage AI-driven products throughout their full lifecycle — tightly integrated with hardware, firmware, and cloud infrastructure. About you You’re a builder with a technical backbone. You thrive in scale-up environments where ownership is high, pace is fast, and impact is visible. You’re comfortable discussing model architecture, data pipelines, and deployment strategies — and you can bridge the gap between engineering depth and business value. You care about AI — but even more about what it enables in the real world. You want to ship systems that factories depend on, not just experiment in isolation. Requirements Strong foundation in Machine Learning / Data Engineering: You have hands-on experience with ML systems, data engineering, or similar technical roles. You understand how models are trained, validated, deployed, and monitored in production environments. Experience bringing ML into production: You’ve worked on AI/ML features that moved beyond prototypes and into real customer-facing products. Comfortable with data tools: Experience working with SQL, Python, and understanding data pipelines, feature engineering, drift detection, and performance monitoring. Manufacturing or industrial experience: You understand production realities and can translate factory-floor challenges into scalable digital products. Product management experience (3+ years): Ideally within SaaS, industrial tech, AI-driven products, or production-focused platforms. Experiment-first mindset: You validate ideas through MVPs and structured experimentation — and know when to scale what works. Business-oriented thinking: You can connect ML initiatives to ROI, cost savings, and growth — and use that insight to drive prioritization. Why Factbird? People are at the heart of everything we build. We believe great products come from empowered teams — and we work hard to create an environment where you can do your best work and have space for life beyond it. Flexible working hours : We trust you to manage your time. Life isn’t one-size-fits-all, and neither is work. Competitive salary : We offer compensation that reflects your skills, experience, and impact. Internet reimbursement : Stay connected and productive, wherever you choose to work from. Thoughtful, human onboarding : We’ll support you step by step, giving you the context, tools, and guidance you need to feel confident from day one. A career path that grows with you : Through bi-yearly Individual Development Plan conversations, we’ll work together to shape a career journey that fits your ambitions. Company-wide kickoffs & team days : We regularly come together across teams and regions to connect, celebrate, and align on what’s next. A global, inclusive culture : We’re proud of our diverse backgrounds and perspectives — and we actively celebrate them in how we work and collaborate. How to apply If this role feels like a match, we’d be excited to hear from you and explore how you could help shape the future of data collection and production monitoring at Factbird. And if someone in your network comes to mind who might be a great fit — feel free to share this opportunity with them. Have questions? You can always reach out at View email address on click.appcast.io. At Factbird, we believe that great work starts with people feeling respected, valued, and included. We are proud to be an equal opportunity employer and are committed to building a workplace where everyone has the opportunity to thrive. We celebrate diversity in all its forms and believe that different backgrounds, perspectives, and experiences make our teams stronger and our work better. We warmly encourage all qualified candidates to apply and to bring their whole selves to Factbird. #J-18808-Ljbffr