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- Tasks: Lead the development of data strategies and AI/ML initiatives for a transformative platform.
- Company: Join Flexera, a pioneering tech company focused on data-driven solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of IT asset management with cutting-edge data and AI technologies.
- Qualifications: 8+ years in product management, with expertise in data or AI/ML products.
- Other info: Collaborate with innovative teams and high-profile customers to create impactful solutions.
The predicted salary is between 72000 - 108000 £ per year.
Job Description
At Flexera, the TI Platform is transforming into a leading, data-driven ecosystem that empowers customers and partners through innovative, usage-based solutions. Our mission is to deliver unparalleled value by leveraging advanced data strategies and AI / ML capabilities, focusing on IT asset management. We are seeking a visionary Principal Product Manager to shape and execute our data and AI / ML strategy, driving the platform’s 2026 objectives.
Role Overview
The Principal Product Manager, Data and AI / ML Strategy, will lead the development and execution of the TI Platform’s data strategy and AI / ML initiatives. This role will define how data drives value-added services, usage-based pricing, and cost alignment while advancing analytics and AI / ML capabilities to solve customer and partner challenges. Collaborating with cross-functional teams, including engineering, marketing, and GTM functions, you will prioritize investments and ensure the platform delivers differentiated, scalable solutions for customer use cases.
Responsibilities
- Define Data Strategy : Develop and refine a comprehensive data strategy that supports usage-based pricing, cost alignment, data correlation, aligning with 2026 objectives.
- Lead AI / ML Initiatives : Drive the integration of AI / ML capabilities (e.g., predi…
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Principal Product Manager - Data & AI / ML employer: Flexera
Contact Detail:
Flexera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Product Manager - Data & AI / ML
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your experience with data and AI/ML. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching Flexera's TI Platform. Understand their data strategy and think about how your experience aligns with their goals. We want to see you shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Principal Product Manager - Data & AI / ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Principal Product Manager role. Highlight your experience in data strategies and AI/ML initiatives, as these are key to what we're looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and AI/ML. Share specific examples of how you've driven similar projects in the past and how you can contribute to our mission at Flexera.
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, make sure to highlight your experience in stakeholder management and collaboration. We want to see how you've successfully engaged with different teams to achieve common goals.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and allows us to keep track of all applicants efficiently. Plus, it’s super easy!
How to prepare for a job interview at Flexera
✨Know Your Data Inside Out
Make sure you have a solid understanding of data strategies and AI/ML technologies. Be prepared to discuss how you've previously built data platforms or implemented usage-based pricing models. This will show that you can translate complex concepts into actionable strategies.
✨Showcase Your Collaborative Spirit
Since this role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with engineering, marketing, and other stakeholders. Highlight your experience in engaging customer advisory boards and driving consensus on product decisions.
✨Demonstrate Your Analytical Skills
Prepare to discuss how you've defined and measured KPIs in past roles. Bring specific examples of how you've used data to validate strategies and drive product decisions. This will illustrate your analytical mindset and ability to leverage data effectively.
✨Articulate Your Vision
Be clear about your strategic vision for data and AI/ML initiatives. Think about how you would align these with business goals and market trends. Practising how to communicate complex technical concepts to diverse audiences will help you stand out during the interview.