VP, Product Engineering (Software)

Scientific Games•Alpharetta, GA

22h

About The Position

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.

Requirements

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
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.

Nice To Haves

Lottery, gaming, payments, regulated transactional systems, or other high-reliability customer-facing platform experience.
Polyglot environments with multiple languages, platforms, deployment models, and legacy architectures.
Cloud-native development, platform engineering, infrastructure as code, containerized workloads, APIs, event-driven systems, and distributed systems.
Test automation across unit, integration, contract, regression, performance, and end-to-end testing

Responsibilities

Lead product engineering for strategic new business opportunities, from problem framing through prototype, validation, production readiness, and scale.
Partner with product and business leaders to decide what is worth building, what should be built first, and how success will be measured.
Build and lead a small, high-performance engineering team with strong technical judgment, product judgment, ownership, and learning speed.
Establish an AI-first development model grounded in clear specs, TDD / ATDD, automated testing, fast feedback loops, CI/CD, observability, and production-safe release practices.
Move quickly inside legacy systems while improving the parts of the platform the team touches: cleaner interfaces, better tests, stronger automation, and less future drag.
Model a faster, safer product engineering motion for SG by showing how AI-assisted development, strong specs, strong tests, and low cycle time can work together at enterprise scale.