VP, Product Engineering (Software)
Position Summary
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.
Qualifications
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.
This person will lead a team that turns ambiguity into working software quickly and safely. The team operates close to the customer and uses AI effectively to accelerate delivery—while maintaining strong engineering fundamentals.
Leading end-to-end product engineering: problem framing, technical design, implementation, testing, release, production operation, and iteration.
Building new products, platforms, or capabilities from early ambiguity to production use.
Working in or around legacy systems while improving architecture, testability, operability, and delivery speed.
Using modern AI-assisted software development practices, including coding assistants, agentic workflows, AI-assisted code generation and review, test generation, documentation support, migration support, and workflow automation.
Practicing specification-driven development: clear intent, acceptance criteria, interface contracts, examples, non-functional requirements, and release criteria.
Building strong automated testing systems, including TDD, ATDD, unit testing, integration testing, contract testing, regression automation, performance testing, and production validation.
Experience That Fits
12+ years of experience across software engineering, product engineering, platform engineering, or technical product development.
5+ years leading high-performing engineering teams or technical pods.
Proven track record of building and delivering real software in fast-paced, high-ownership environments.
Experience operating effectively within large, complex systems, including legacy platforms.
Strong understanding of customer commitments, security, compliance, and production reliability requirements.
Led end-to-end product engineering: problem framing, technical design, implementation, testing, release, production operation, and iteration.
Building new products, platforms, or capabilities from early ambiguity to production use.
Working in or around legacy systems while improving architecture, testability, operability, and delivery speed.
Using modern AI-assisted software development practices, including coding assistants, agentic workflows, AI-assisted code generation and review, test generation, documentation support, migration support, and workflow automation.
Practicing specification-driven development: clear intent, acceptance criteria, interface contracts, examples, non-functional requirements, and release criteria.
Building strong automated testing systems, including TDD, ATDD, unit testing, integration testing, contract testing, regression automation, performance testing, and production validation.