About the role#
As a Product Operations Intern, you will work with cross-functional teams to understand user needs, define product features, and help shape Q2 solutions. This is a full-time, paid internship for Summer 2027 based on-site in Austin, Texas.
What you'll do#
- Support roadmap planning and backlog refinement.
- Collect and analyze product usage data.
- Help define and test new product features.
- Communicate insights to stakeholders.
- Work with teams to understand user needs.
- Contribute to roadmap documentation and feature requirements.
- Conduct competitive and user research.
- Assist with usability testing and product analytics.
What you'll need#
- Current pursuit of a degree in Business, Computer Science, or a related field.
- Interest in product strategy, UX, and technology.
- Strong analytical, communication, and collaboration skills.
- Fluent written and oral communication in English.
- Familiarity with Agile or Scrum frameworks is a plus.
Location & details#
- Location: Austin, Texas (On-site).
- Term: Summer 2027.
- Employment: Full-time.
- Note: This position does not offer visa sponsorship.
About Q2
Q2 provides digital banking and lending technology for banks, credit unions, and fintech firms. The company builds software for consumer, small business, and corporate account holders. Based in Austin, Texas, it operates internationally with a workforce of 1,001 to 5,000 employees. It focuses on security and data-driven financial experiences.
How to get in at Q2
Applying early at Q2 gives you a distinct advantage before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, ensuring you are among the first to submit your materials. This timing helps your application get seen before the pile grows. You can also improve your response rates by reaching out to the recruiters behind these roles directly. Intern Insider surfaces the specific contacts for Q2 positions, allowing you to ask informed questions or request a referral. This direct approach often proves more effective than waiting for a response from a general queue.
