Product Management Intern

Qlik•,

7h•Remote

About The Position

As a PM intern on Qlik's Data Integration product team, you'll get hands-on experience with how product managers synthesize customer and market feedback - working directly with the tools and methodologies that drive real roadmap decisions. You'll see firsthand how PMs translate disparate signals into prioritized product bets. Beyond that foundation, you'll take on a project with real stakes: designing and building a repeatable, AI-powered intelligence framework that gives the team a faster, cleaner read on what customers and the market are telling us. You'll define the methodology, select the tooling, and deliver something the team can run on a recurring cadence long after the internship ends.

Requirements

Currently pursuing a degree in business, product management, information systems, or a related field - graduate students and strong senior undergraduates welcome.
A builder mindset - comfortable enough with AI tools, automation, and data platforms to construct a working framework, not just recommend one. You don't need to write code, but you need to be able to make something that runs.
Comfortable working with ambiguity - you can define a problem and structure your own approach, not just execute against a pre-built plan.
Strong written communication skills - the frameworks and documentation you produce need to be clear enough for someone else to pick up and run without you.
Able to work autonomously in a remote environment - this role is managed with a light touch, and you'll be expected to drive progress between check-ins rather than waiting for daily direction.

Responsibilities

Learn how product managers synthesize customer and market signals into roadmap decisions - working directly with industry-standard tools to understand how feedback becomes prioritized action.
Design and build an AI-powered framework that aggregates signals from Qlik's key feedback sources into a consolidated, prioritized view - tagging insights by theme, frequency, and strategic relevance so the output is actionable.
Extend that methodology to partner intelligence - monitoring key platforms like AWS, Snowflake, and Databricks for new capabilities and roadmap signals, and evaluating each against a defined impact rubric covering connector opportunities, competitive risk, and joint GTM potential.
Document and hand off a repeatable process any PM on the team can run independently on a recurring cadence - turning what is today a manual, ad-hoc exercise into a reliable, ongoing capability.