At a Glance
- Tasks: Lead the roadmap for data services and AI features in manufacturing insights.
- Company: Join aPriori, a leader in data-driven manufacturing solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Shape the future of manufacturing with cutting-edge data and AI technologies.
- Qualifications: Strong SQL skills, data modelling experience, and excellent communication abilities.
The predicted salary is between 63000 - 77000 £ per year.
a Priori is seeking a Product Manager, Data Platform, to lead the roadmap for data services, analytics layers, and AI-enabled features that power our manufacturing insights.
You will collaborate with data engineers and ML practitioners to deliver reliable, scalable data capabilities across real-time analytics and AI pipelines.
The role requires a mix of technical depth and business context, with strong SQL, data modeling, and cross‑functional communication skills.
#J-18808-Ljbffr
Product Manager, Data Platform & AI Framework employer: Apriori Technologies, Inc
aPriori is an excellent employer that fosters a collaborative and innovative work culture, where Product Managers can thrive by leading impactful projects in the dynamic field of data services and AI. With a strong emphasis on employee growth, aPriori offers numerous opportunities for professional development and skill enhancement, all while being located in a vibrant tech hub that encourages creativity and networking. Join us to be part of a forward-thinking team dedicated to transforming manufacturing insights through cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager, Data Platform & AI Framework
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Apriori Technologies, Inc!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Apriori Technologies, Inc would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Apriori Technologies, Inc through your school's career services!
We think you need these skills to ace Product Manager, Data Platform & AI Framework
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager, Data Platform & AI Framework, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager, Data Platform & AI Framework position at Apriori Technologies, Inc. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Apriori Technologies, Inc
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
