Product Manager Intern, Agentic AI

About Flexera

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud.

We’re transforming the software industry. We’re Flexera. With more than 50,000 customers across the world, we’re achieving that goal. But we know we can’t do any of that without our team. Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans? Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com

About Flexera And The Role

At Flexera, we help the world’s largest companies master their technology inventory, spending, and risk through Flexera One – our unified IT management platform.

We’re building the next generation of Flexera One’s Technology Intelligence (TI) Platform powered by Agentic AI – autonomous agents that don’t just surface insights but take action on behalf of customers. As our Product Manager Intern, Agentic AI, you will own real product discovery and delivery for high-impact use cases centered on data aggregation and One Inventory.

This is a rare opportunity for a student to operate like a full-time PM on a strategic AI initiative that will ship to customers.

What You’ll Own

• Lead discovery and definition for Agentic AI use cases that solve customer pain in normalizing, enriching, and reconciling inventory data across 100+ sources into One Inventory.
• Identify and prioritize the hardest data aggregation problems (duplicate records, missing attributes, conflicting sources, stale data, etc.).
• Partner day-to-day with engineering, data science, and design to design, prototype, and ship AI agents that autonomously clean, reconcile, and enrich customer inventory.
• Run customer interviews, analyze usage data, and build compelling narratives for internal stakeholders and leadership.
• Create PRFAQs, user stories, mockups, and success metrics – everything a real PM does.
• Present your work and recommendations to senior product leadership at the end of the internship.

You’ll Gain

• Real ownership of features that go into production and reach thousands of enterprise customers.
• Direct mentorship from senior PMs working on Flexera’s AI roadmap.
• Exposure to agentic AI systems, large-scale data pipelines, and enterprise SaaS product management.
• A strong likelihood of return offer / full-time conversion (we hire heavily from our intern cohort).

Who You Are

• Rising senior or graduate student (2026 or 2027 grad) pursuing a degree in Computer Science, Data Science, Business, Design, or related field.
• Genuine curiosity about AI, especially agentic/reasoning systems and their application to real enterprise problems.
• Comfortable diving into messy data problems – you love finding patterns in chaos.
• Excellent communicator – you can talk to customers, engineers, and executives with equal confidence.
• Bonus: previous internship in product management, technical role, or startup experience; familiarity with ITAM/ITSM/SaaS data is a plus but not required.

Location & Logistics

8-week paid internship (June–August 2026). Remote-friendly within the US or Canada; optional in-office collaboration in our Milwaukee or Itasca hubs.

If you’re excited to ship AI that actually solves customer problems at enterprise scale (not just prototypes), we want to hear from you.

Key skills/competency

• Product Management
• Agentic AI
• Data Aggregation
• Customer Discovery
• SaaS
• Enterprise Software
• Data Science
• User Stories
• AI Agents
• Technical Product Management