Light & Wonder

Full-stack Engineer

• Design, develop, and maintain client-server application components, including UI, middleware, APIs, and backend services
• Implement features, enhancements, and bug fixes based on requirements and technical specifications
• Collaborate with product managers, QA engineers, and other developers to deliver high-quality software
• Optimize application performance, reliability, and scalability
• Write clean, maintainable, well-documented code following industry best practices
• Participate in code reviews and provide constructive feedback
• Work with DevOps/IT teams on deployment, CI/CD workflows, and environment configuration
• Troubleshoot production issues and assist with root-cause analysis
• Contribute to technical documentation and architectural diagrams
• Stay informed on emerging technologies and propose improvements to our technology stack

Software Engineer

General Counsel

• Serve as legal advisor on the Company's enterprise-wide adoption, deployment, and use of AI and machine learning tools, including generative AI platforms and AI-enabled products.
• Monitor, analyze, and advise on the rapidly evolving global AI regulatory landscape, including the EU AI Act, US federal and state AI legislation, and emerging frameworks across key jurisdictions (UK, Canada, Brazil, India, Australia, Singapore/APAC).
• Support the Company's AI governance framework, including internal policies, standards, and acceptable use guidelines governing the procurement, deployment, and employee use of AI tools.
• Assess and classify AI systems in accordance with applicable regulatory risk tiers (e.g., EU AI Act high-risk classifications) and advise product, engineering, and business teams on applicable compliance obligations.
• Provide legal guidance on AI-specific risks including algorithmic bias and discrimination, risks related to AI use in connection with employment and transparency obligations.
• Work with the Legal Department’s IP team on risks related to IP ownership issues arising from AI-generated outputs.
• Maintain Company-wide policies and standards governing AI use, data governance, digital accessibility, and technology risk, in collaboration with Legal, IT, Information Security, HR, and business stakeholders.
• Support the development and delivery of training programs to educate employees on responsible AI use, data privacy obligations, and related compliance requirements.
• Support the building and maintaining of internal governance structures for AI oversight, including cross-functional working groups, risk review processes, and executive reporting frameworks.
• Advise on AI-related employment law issues, including the use of AI in hiring, performance management, workforce planning, and employee monitoring.
• Negotiate and draft enterprise AI tool agreements, SaaS contracts, and data processing agreements, with a focus on protecting the Company's rights in inputs and outputs, preventing vendor use of Company data for model training, ensuring robust IP indemnification, and negotiating appropriate liability frameworks.
• Develop and maintain internal playbooks, standard positions, and clause libraries for AI-related contract provisions, including IP ownership, data security, model change notification, acceptable use, audit rights, and third-party model disclosures.
• Review and advise on vendor sub-processor chains and foundation model dependencies to assess downstream legal risk.
• Advise on the accessibility and digital inclusion obligations associated with AI-powered products and platforms, including compliance with WCAG standards and applicable ADA/EAA requirements.
• Identify, assess, and advise on legal and regulatory risks arising from the Company's AI and data practices, and work with cross-functional teams to develop risk mitigation strategies.
• Track enforcement trends, regulatory guidance, and litigation developments in AI, data privacy, and digital accessibility, and deliver timely legal updates to relevant stakeholders.
• Support government affairs and policy engagement on AI and data governance regulatory developments affecting the Company's business.
• Partner with the Associate General Counsel for Data Privacy and Employment, Information Security and IT teams, as well as the company’s Data Protection Officer, on incident response, regulatory notifications, and remediation efforts related to data breaches, AI system failures, or privacy violations.
• Review and maintain the Company's privacy notice and policy framework, ensuring all employee, applicant, player, and partner-facing notices accurately reflect current data processing activities — including AI-enabled processing — and satisfy applicable transparency and disclosure obligations.
• Support data protection impact assessments (DPIAs) and legitimate interest assessments (LIAs) for new products, features, and processing activities, particularly those involving AI and automated processing.
• Draft, review, and negotiate data processing agreements (DPAs), standard contractual clauses (SCCs), and other data transfer mechanisms to support cross-border data flows.
• Monitor, analyze, and advise on global data privacy law compliance, including GDPR and CCPA.
• Support the Company’s Data Governance COE and provide support and guidance to regional legal colleagues around the world in areas related to AI, data governance and data privacy.
• Support additional projects and initiatives as directed by the Associate General Counsel for Data Privacy and Employment.
• Operate with the highest level of ethics and integrity.

Senior Counsel, AI and Data Governance

AI Engineer

• Explore and evaluate emerging AI tools, platforms, and agent-based solutions to identify opportunities for the business.
• Design, build, and integrate AI-powered workflows, services, and applications into enterprise systems.
• Help shape and develop internal AI platforms, including agent architectures, permissions, and governance guardrails.
• Guide AI initiatives through structured evaluation and approval processes, ensuring alignment with technical and governance standards.
• Collaborate with teams across Architecture, Security, DevOps, Legal, Privacy, and the wider business to deliver well-rounded AI solutions.
• Translate complex or ambiguous business needs into clear technical requirements, success metrics, and deliverables.
• Monitor performance, adoption, and usage of AI solutions, identifying trends, risks, and opportunities for optimisation.
• Maintain clear documentation, including AI use cases, tool registries, and lifecycle records, ensuring audit-ready standards.
• Support the development of a centralised AI knowledge base to drive consistency and accelerate adoption across teams.
• Contribute to continuous improvement of AI governance, development practices, and delivery frameworks.

AI Engineer, AI Analyst

• Evaluate emerging AI tools, platforms, and agents
• Conduct structured technical assessments
• Build and integrate AI workflows and services into enterprise systems
• Collaborate with Architecture, Security, DevOps, Legal, Privacy, and business stakeholders
• Monitor adoption metrics, cost and consumption trends, quality indicators, and post-release performance

AI Engineer / AI Analyst

Artificial Intelligence

• Drive Lean transformation across the full enterprise value stream
• Coordinate and manage AI-enabled continuous improvement initiatives
• Partner with Operations, Finance, HR, Accounting, Procurement, and Technology teams to eliminate waste and accelerate throughput
• Design, facilitate, and execute workshops to identify and prioritize improvement opportunities
• Establish and track KPIs and performance metrics for Lean initiatives
• Serve as the AI Coordinator for the Process Excellence function
• Manage concurrent process improvement and AI-enabled projects
• Build and maintain strong relationships across different departments
• Develop training materials and standard work documentation

Senior Process Excellence Engineer – AI Coordinator

• Define and drive architectural strategy supporting the migration from legacy game technology stacks to the Carbon platform.
• Establish enterprise-wide engineering standards, architectural patterns, and development best practices across multiple studios and business units.
• Partner with studio and platform leaders to align technologies, tooling, and workflows while preserving studio agility and innovation.
• Evaluate and guide strategic technology decisions, including framework adoption, engine strategy, and modernization initiatives.
• Lead architectural reviews and technical design sessions across game platform and development initiatives.
• Drive standardization efforts around shared frameworks, SDKs, CI/CD pipelines, telemetry, deployment, and development tooling.
• Make effective build-vs-buy recommendations considering scalability, maintainability, cost, time-to-market, and long-term platform strategy.
• Stay current with emerging technologies, software architecture patterns, and game engine trends relevant to modern game development.
• Design scalable, maintainable, and performant software architectures supporting enterprise game development ecosystems.
• Provide architectural guidance for game engine technologies, including Unity, Godot, proprietary engines, and supporting toolchains.
• Develop architectural blueprints and technical roadmaps that enable modernization and long-term platform evolution.
• Ensure systems meet enterprise standards for performance, reliability, security, and regulatory compliance.
• Partner with development teams to resolve complex technical challenges and remove architectural bottlenecks.
• Guide integration efforts between shared platform technologies and studio-specific game implementations.
• Support adoption of modern engineering practices including automated testing, DevOps, CI/CD, observability, and cloud-enabled workflows.
• Collaborate with product, compliance, infrastructure, QA, and studio engineering teams to align technical solutions with business objectives.
• Influence technical direction across teams without direct authority through strong communication, credibility, and collaboration.
• Act as a trusted advisor to leadership regarding technical risks, modernization opportunities, and platform investments.
• Ensure gaming platform architectures comply with regulatory, security, and operational requirements across global gaming markets.
• Identify technical risks early and guide mitigation strategies to ensure long-term platform stability and scalability.

Principal Software Architect

Hardware Engineer

• Support execution of hardware programs from concept through production
• Track program schedules, milestones, and deliverables
• Coordinate across engineering, manufacturing, quality, and supply chain teams
• Identify and track dependencies across teams
• Monitor risks and issues and escalate as needed
• Support coordination of hardware ECO/ECR changes
• Maintain program documentation and reporting

Hardware Engineering Technical Program Manager

Sales

• Lead ongoing configuration and development of Salesforce deployment
• Manage Experience Cloud communities and support end users
• Conduct regular system audits and prepare for upgrades
• Join and lead business discovery sessions for new processes

Salesforce Advanced Business Systems Analyst

Field Engineer

• Diagnose, troubleshoot, and repair gaming equipment down to component and assembly level using diagnostic tools.
• Perform installation, configuration, upgrades, and maintenance of gaming products and systems.
• Provide on-site and remote technical support, including preventive maintenance and system optimization.
• Coordinate and supervise installation projects and technicians in the assigned region.
• Train customers and junior technicians on diagnostics, system operation, and maintenance procedures.
• Complete accurate service documentation, reports, and obtain required customer approvals.
• Deliver high levels of customer satisfaction through professional service, communication, and issue resolution.
• Identify potential sales opportunities and support business growth initiatives.
• Collaborate with management to resolve escalations and improve service performance.
• Evaluate system-level issues (e.g., player tracking/accounting systems) and isolate root causes.
• Provide technical support to internal teams, including production and engineering, as required.

Field Service Engineer

• Lead Development of the Enterprise AI Transformation Agenda
• Partner with executive leadership to shape and maintain a multi-year enterprise AI transformation roadmap aligned to strategy and financial objectives
• Translate strategic AI priorities into a sequenced
• executable portfolio of initiatives across business units and functions
• Ensure AI initiatives are incorporated into annual planning
• investment governance
• and long-range financial plans
• Lead execution of AI initiatives
• ensuring accountability
• delivery discipline
• and transparency
• Establish and run AI TMO governance forums
• executive readouts
• and performance tracking
• Identify risks
• dependencies
• and constraints; proactively drive mitigation and decision-making
• Partner with business leaders to define
• track
• and realize financial and operational value from AI initiatives
• Ensure AI solutions are operationalized into workflows
• decision processes
• and operating models
• Scale successful pilots into repeatable enterprise capabilities
• Design and evolve the enterprise AI operating model
• including roles
• responsibilities
• and ways of working
• Support enterprise enablement efforts to build AI literacy and adoption
• Act as a senior change leader ensuring alignment between leadership intent and organizational behavior
• Serve as a trusted partner to the Executive Leadership Team (ELT) on AI priorities
• Provide hands-on leadership for mission-critical AI and transformation initiatives
• Prepare and deliver executive-level communications
• insights
• and recommendations.

Director – AI Transformation Management

Product Marketing

• Leads global B2B product marketing and growth marketing for iGaming business
• Owns how products and content are positioned, launched, adopted, and scaled
• Ensures market insight, customer needs, and commercial objectives inform product strategy
• Oversees global team of product marketing and growth marketing professionals
• Partners closely with Product Management, Studio teams, Sales, and Account Management
• Focused on driving revenue, differentiation, and customer success through world-class B2B marketing

Senior Director, Product Marketing

Scrum Master

• Coaching, training, mentoring teams on Agile values, principles, and practices mainly around Scrum and Kanban.
• Keep track of KPIs and recommend and facilitate changes for increased efficiency and effectiveness.
• Coordinate Agile Ceremonies such as planning, refinement, daily stand-ups, retrospectives, reviews etc.
• Resolve conflicts, impediments, and issues that affect the teams and the organization.
• Establish and maintain metrics and dashboards and report progress or blockers
• Provide frequent status updates and raise in timely manner issues that cannot be resolved within the team
• Record dependencies and facilitate discussions with relevant parties
• Shield team from interruptions
• Record team’s decision on improvements and help them to be applied
• Work with product owners to handle backlog items and form the roadmap
• Ensure deliverables are up to quality standards at the end of each iteration
• Track story points and workflow efficiency and create future projections
• Help build a productive environment where team members ‘own’ the product and enjoy working on it

Agile Coach

QA Engineer

• Design, enhance, and maintain scalable automation frameworks for UI and API testing using Selenium, Playwright.
• Develop and maintain automation test scripts for Selenium, Playwright in Java, Typescript programming language.
• Develop and execute automated regression, smoke, and functional test suites integrated with CI/CD pipelines.
• Proactively identify gaps, suggest process and framework improvements, and drive adoption of best practices.
• Collaborate with cross-functional teams to define test strategies, improve coverage, and ensure high-quality releases.
• Manage test cases, execution results, and reporting in TestRail.
• Participate actively in Agile ceremonies, contributing to sprint planning, estimations, and retrospectives.
• Mentor junior QA engineers and help evolve automation standards across teams.
• Foster a culture of innovation, ownership, and continuous learning within the QA organization.