Company

At Actian we believe data should be a competitive advantage. Through the deployment of data technology, underpinned by a relentless and trusted service commitment, we help business critical systems transact and integrate at their very best. As a trusted leader in data management, integration, and analytics, our mission is to helping businesses unlock the full potential of their data to drive better decision-making and innovation wherever it resides — in the cloud, on-premises, or hybrid environments.

With a global team of experts and a culture of innovation, we’re dedicated to helping our customers solve their most complex data challenges.

Internship Overview

We are looking for interns to join us for our 2026 Summer Internship Program! This 12-week program is set to begin June 8th, so if you are looking for an incredible opportunity to partner with the best and brightest minds in the industry, apply today. This program has been designed with our interns in mind and includes structured learning plans, a dedicated buddy, and a focused capstone project that you will have the opportunity to present in our Internship Showcase!

What It’s Like Interning with Us!

• Intern Events— just because the internship is remote, doesn’t mean we don’t have time for fun! Regular intern events will be hosted throughout your 12-weeks with us!
• Time with Executives— Interns all get a chance to connect with our executive team through panel discussions, 1:1s, Q&A meetings, and events
• Workshops — Interns participate in workshops geared towards helping new professionals
• Opportunity to travel – we will fly you out for onsite orientation at our Austin, Texas office location!

Position Overview

Join Actian’s CTO Office team as a Product Engineer Intern and help shape the next generation of AI-powered data product tooling. You will work within Actian’s Data Intelligence Platform and Data Product Workbench, applying artificial intelligence to data contract and data product lifecycle challenges, including similarity search, maturity assessment, natural language generation, governance gamification, and AI-driven coaching. You will collaborate directly with customers, partners, and the open-source community (Bitol/Linux Foundation). Two intern positions are available, each with a dedicated AI-focused capstone project.

\nResponsibilities:

• Design, develop, and deliver an AI-focused capstone project: either an AI intelligence layer for data contracts (similarity search, lifecycle management, maturity assessment, NLG) or an AI-powered governance coach and gamification engine for data products
• Build and integrate AI/ML features into Actian’s Data Product Workbench using Java, Python, and React
• Collaborate with customers, partners, and the Bitol open-source community (Linux Foundation) to validate requirements and gather feedback
• Participate in sprint ceremonies, code reviews, and design discussions with the product and engineering teams
• Present your capstone project and findings at the Internship Showcase in week 12

Nice to Haves:

• Pursuing a BS or MS in Computer Science (junior standing or above preferred)
• At least one prior successful internship in software engineering or a related field
• Hands-on experience with Claude Code is required
• Hands-on experience with Linux deployment is required
• Hands-on experience with Java (Springboot), Python, or React; familiarity with AI/ML libraries (e.g., scikit-learn, PyTorch, LangChain) is a plus
• Interest in data management, data governance, or open standards (ODCS, ODPS)
• Strong communication skills and comfort working with external stakeholders (customers and partners)

Requirements:

• Must be actively enrolled in a college degree program
• Must be legally authorized to work in the United States

\n$20 - $30 an hour\n

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.