Associate Product Manager, AI
Description
Tyler Technologies is seeking an Associate Product Manager to join our AI team. This role is focused on product execution: bringing clarity, speed, and operational excellence so our engineering team can deliver AI-powered products at scale. You’ll work closely with the AI Product Manager and engineering to translate high-level ideas into actionable tasks, support day-to-day workflows, and help coordinate successful releases. This is a fast-paced, hands-on role, well-suited for someone early in their product career who is eager to learn in the context of cutting-edge AI development.
Responsibilities
- Write clear acceptance criteria and requirements to help keep engineering unblocked.
- Support scrum activities, including ticket creation, backlog grooming, and sprint planning.
- Coordinate sprint planning and share updates with divisional partners.
- Track progress, compile reports, and communicate status to stakeholders.
- Provide ongoing operational support for generally available (GA) AI products.
- Capture and track feature requests from divisional partners.
- Assist with sprint QA and ticket cleanup to maintain team velocity.
Qualifications
- 1–3 years of experience in product, business analysis, or software development (internships included).
- Strong organizational skills with the ability to write clear requirements and manage details.
- Effective communication skills with both technical and non-technical teammates.
- Curiosity and ability to learn technical concepts and system architectures.
- Interest in AI/ML, data platforms, or modern SaaS environments.
To Be Successful, You’re Comfortable With...
- Working at a fast pace and adapting quickly to shifting priorities.
- Operating in ambiguity while still pushing work forward.
- Thriving in a dynamic, startup-like environment with frequent change.
- Taking on operational and support-focused work to keep the team moving.
Nice to Have...
- Familiarity with agile/scrum tools and workflows (e.g., Jira, Confluence, backlog management).
- Academic or practical background in computer science, AI/ML, or data systems.
- Experience collaborating with engineering teams in a SaaS or enterprise software setting.
- Interest in developing into a full product management role over time.