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- Tasks: Lead the development of data strategies and AI/ML initiatives for a transformative platform.
- Company: Join Flexera, a leader in data-driven solutions and IT asset management.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of data and AI/ML while making a real impact in the tech industry.
- Qualifications: 8+ years in product management with a focus on data or AI/ML products.
- Other info: Collaborate with innovative teams and high-profile customers to create industry-leading solutions.
The predicted salary is between 72000 - 108000 £ per year.
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., predictive analytics, usage pattern optimization) to enhance platform features, focusing on customer and partner pain points.
- Prioritize Investments: Collaborate with key customers and partners, product leaders, and engineering to prioritize data and AI/ML investments, ensuring alignment with customer needs and platform scalability.
- Drive Usage-Based Models: Design and validate usage-based pricing and cost frameworks, leveraging data insights to achieve metrics like 25% revenue from usage-based models and 85% pricing fairness satisfaction by Q4 2026.
- Enhance Customer and Partner Enablement: Develop tools and features (e.g., real-time analytics, AI-driven insights) to empower customers and partners.
- Shape Branding and Positioning: Partner with marketing to position new data and AI/ML capabilities, achieving 85% positioning clarity and 40% feature-specific brand association by Q3 2026.
- Lead Cross-Functional Collaboration: Work with engineering, data science, and field teams to deliver scalable solutions, ensuring data-driven decision-making and operational efficiency.
- Measure and Iterate: Define and track KPIs (e.g., 90% accuracy in usage pattern identification, 20% efficiency improvement) to validate strategy effectiveness and iterate based on feedback.
Qualifications
- Experience:
- 8+ years of product management experience, with at least 3 years in a senior or principal role leading data or AI/ML-driven products.
- Proven track record in building data platforms, usage-based pricing models, or AI/ML solutions in a SaaS, cloud, or enterprise technology environment.
- Experience with Containers, VMs, or SaaS inventory management solutions is a plus.
- Technical Skills:
- Deep understanding of data architectures, analytics, and AI/ML technologies (e.g., machine learning models, data pipelines, cloud infrastructure).
- Familiarity with usage-based pricing frameworks and cost optimization in cloud environments.
- Strategic Vision: Ability to translate customer needs into a cohesive data and AI/ML strategy, aligning with business goals and market trends.
- Collaboration: Strong stakeholder management skills, with experience engaging customer advisory boards, engineering teams, and marketing to drive consensus and outcomes.
- Analytical Mindset: Proficiency in defining and measuring KPIs, leveraging data to drive product decisions and validate strategies.
- Communication: Exceptional ability to articulate complex technical concepts to diverse audiences, including executives, customers, and technical teams.
- Education: Bachelor’s degree in Computer Science, Data Science, Business, or a related field; MBA or advanced degree preferred.
Why Join Us?
- Be a key driver in transforming the TI Platform into a world-class, data-driven ecosystem.
- Collaborate with innovative teams and high-profile customers to shape industry-leading solutions
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 lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects and achievements. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by researching the company and its products. Tailor your answers to show how your experience aligns with their goals, especially around data and AI/ML.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
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 speaks directly to the role of Principal Product Manager. Highlight your experience with data strategies and AI/ML initiatives, and don’t forget to mention any relevant projects that align with our mission at Flexera.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data-driven solutions and how your vision aligns with our 2026 objectives. Be specific about how you can contribute to our team.
Showcase Your Achievements: When detailing your experience, focus on quantifiable achievements. For instance, if you’ve driven revenue through usage-based pricing models or improved analytics capabilities, let us know the numbers behind those successes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of our TI Platform.
How to prepare for a job interview at Flexera
✨Know Your Data Inside Out
As a Principal Product Manager focusing on Data and AI/ML, you need to demonstrate a deep understanding of data strategies. Brush up on your knowledge of data architectures, analytics, and AI/ML technologies. Be ready to discuss how you've previously leveraged data to drive value and solve customer challenges.
✨Showcase Your Strategic Vision
Prepare to articulate how you can translate customer needs into a cohesive data and AI/ML strategy. Think about examples from your past experience where you aligned product goals with market trends. This will show that you can not only think strategically but also execute effectively.
✨Highlight Cross-Functional Collaboration
This role requires working closely with various teams, so be prepared to share specific instances where you've successfully collaborated with engineering, marketing, or customer advisory boards. Emphasise your stakeholder management skills and how you’ve driven consensus in previous projects.
✨Demonstrate Your Analytical Mindset
Be ready to discuss how you've defined and measured KPIs in your previous roles. Share examples of how you've used data to validate strategies and make informed product decisions. This will showcase your analytical skills and your ability to iterate based on feedback.