VP, Product Engineering; Software

Position: VP, Product Engineering (Software)
Scientific Games is seeking a VP, Product Engineering to lead a small, high-impact team focused on building new products and advancing strategic business opportunities. This leader will tackle ambiguous problems, partner closely with product and business stakeholders, and deliver high-quality software quickly-without compromising platform stability.

This is a hands-on builder-leader role, responsible for driving the full product engineering lifecycle-from shaping ideas to delivering production-ready solutions. The team will operate as a lean, senior group leveraging modern AI-assisted development practices to move fast, maintain quality, and continuously improve the systems they touch.

Success in this role means balancing speed and discipline-shipping impactful solutions, enhancing legacy systems, and establishing scalable, AI-driven engineering practices that can influence the broader organization.

What This Person Will Own

* Building new products, capabilities, prototypes, and production systems from zero to one.

* Moving quickly and safely inside existing legacy codebases and platforms.

* Helping decide which opportunities deserve engineering investment.

* Creating an AI-first software delivery model based on clear specifications, acceptance criteria, automated tests, fast feedback, and low cycle time.

* Using current AI development tools and emerging agentic workflows to generate code, write and improve tests, explore legacy systems, document behavior, accelerate migrations, support review, and reduce manual toil.

* Establishing specification-driven development, test-driven development, acceptance-test-driven development, automated testing, CI/CD, observability, release discipline, security review, and production ownership as the foundation for speed.

* Building a small, high-performance team with a strong bar for technical judgment, product judgment, learning speed, and follow-through.

* Modeling agentic AI development patterns that can influence engineering practice across SG.