At a Glance
- Tasks: Lead AI product vision and drive execution from concept to launch.
- Company: Factbird, a pioneering tech company transforming manufacturing with AI.
- Benefits: Flexible hours, competitive salary, internet reimbursement, and career growth opportunities.
- Why this job: Shape the future of manufacturing with cutting-edge AI technology.
- Qualifications: 3+ years in product management with a strong AI/ML foundation.
- Other info: Join a diverse team committed to innovation and inclusivity.
The predicted salary is between 28800 - 48000 ÂŁ per year.
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.
This is a highâimpact, handsâon 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 â and beyond. You'll work closely with AI engineers, firmware teams, cloud architects, and product leaders to connect advanced AI with physical production environments. Reporting to the Head of Product, you'll play a key role in shaping how our platform scales and how our customers succeed.
This role is based in Copenhagen, Denmark, where you will work closely with our product and engineering teams. If you're currently based elsewhere, we offer relocation support for the right candidate and will help make your move as smooth as possible.
Key Responsibilities- Set the AI direction: Own and drive the AI product vision â focusing on solving real production bottlenecks and delivering measurable customer value.
- Turn strategy into shipped product: Define roadmaps, prioritize ruthlessly, and work closely with engineering teams to bring AIâdriven features to life.
- Build strong data foundations: Partner with data engineers to identify the right data sources, ensure data quality, and create reliable pipelines for training and improving models.
- Lead across disciplines: Act as the glue between AI, firmware, cloud, UX, and business stakeholders â making sure everyone is aligned, focused, and moving fast.
- Own performance & outcomes: Define and track model performance metrics and business KPIs to ensure AI features perform reliably in real production conditions.
- Launch, learn, iterate: Drive product launches, gather customer feedback, and continuously evolve AI features based on realâworld usage.
- Endâtoâend product ownership: Manage AIâdriven products throughout their full lifecycle, tightly connected to the hardware and firmware that power them.
You're a builder. You thrive in scaleâup environments where ownership is high, pace is fast, and impact is visible. You're comfortable making decisions with imperfect information and love turning complexity into clarity. You care about AI â but you care even more about what it enables. You want to build products that customers depend on, not just talk about innovation.
Requirements- Experience from manufacturing or industrial environments: You understand production realities and can translate factoryâfloor challenges into scalable digital products.
- Strong AI/ML foundation: You can confidently discuss machine learning concepts, model limitations, and tradeâoffs â and you've helped bring AI solutions into production.
- Dataâdriven mindset: Comfortable working with data (SQL, Python) and understanding how data quality, drift, and pipelines impact model performance.
- Product management experience: 3+ years in product management, ideally within SaaS, industrial tech, or productionâfocused products.
- Experimentâfirst mentality: You validate ideas through MVPs, experimentation, and iteration â and know when to scale what works.
- Businessâoriented thinking: You can connect AI initiatives to ROI, cost savings, and growth, and use that insight to drive prioritization.
People are at the heart of everything we build. We believe great products come from empowered teams â 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 oneâsizeâfitsâall, 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 biâyearly Individual Development Plan conversations, we'll work together to shape a career journey that fits your ambitions.
- Companyâwide 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 â and we actively celebrate them in how we work and collaborate.
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. If someone in your network comes to mind who might be a great fit â feel free to share this opportunity with them.
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.
AI Product Manager in London employer: Factbird
Contact Detail:
Factbird Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land AI Product Manager in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI product management. Think about how your experience aligns with Factbird's mission and be ready to share specific examples of your past successes.
â¨Tip Number 3
Showcase your passion for AI and manufacturing during interviews. Talk about projects you've worked on, challenges you've overcome, and how you can contribute to Factbird's vision of transforming production environments.
â¨Tip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Factbird.
We think you need these skills to ace AI Product Manager in London
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Product Manager role. Highlight your experience in manufacturing and AI, and show us how you can turn complex challenges into clear solutions.
Showcase Your Impact: We want to see how you've made a difference in your previous roles. Use specific examples to demonstrate how your work has led to measurable outcomes, especially in product management or AI-driven projects.
Be Authentic: Let your personality shine through! We value genuine candidates who are passionate about AI and its real-world applications. Share your thoughts on what excites you about this field and how you envision contributing to our team.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This helps us keep track of your application and ensures youâre considered for the role youâre excited about!
How to prepare for a job interview at Factbird
â¨Know Your AI Inside Out
As an AI Product Manager, you need to be well-versed in machine learning concepts and their applications. Brush up on the latest trends in AI and be ready to discuss how they can solve real production challenges. This will show your passion and expertise in the field.
â¨Understand the Manufacturing Landscape
Familiarise yourself with the manufacturing environment and its specific challenges. Be prepared to share examples of how you've translated factory-floor issues into scalable digital solutions. This will demonstrate your ability to connect AI initiatives with real-world applications.
â¨Showcase Your Data Skills
Since a data-driven mindset is crucial for this role, be ready to discuss your experience with data analysis tools like SQL and Python. Highlight any projects where youâve improved model performance through data quality management or pipeline optimisation.
â¨Emphasise Collaboration and Leadership
This role requires acting as a bridge between various teams. Share examples of how you've successfully led cross-functional projects and ensured alignment among stakeholders. This will illustrate your ability to drive execution from idea to launch effectively.