About the role#
This is a full-time, paid internship for Summer 2027 based in Austin, Texas. You will work on-site to assist our business development and account management teams. The role focuses on client outreach, prospect research, and managing CRM operations.
What you'll do#
- Research prospective clients and analyze competitive trends.
- Manage CRM data and help with internal reporting.
- Create sales presentations and pitch decks.
- Shadow sales calls and meetings to observe client interactions.
- Collaborate with team members on lead conversion analysis and account planning.
What you'll need#
- Current enrollment in a degree program for Business, Marketing, or a related field.
- Strong interpersonal and communication skills in English.
- Proficiency with Excel and CRM platforms, with Salesforce experience being a plus.
- An organized and goal-oriented approach to your work.
- Authorization to work for any employer in the U.S. without the need for visa sponsorship.
Location & details#
- Location: Austin, Texas (On-site).
- Term: Summer 2027.
- Type: Full-time internship.
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.
