Role Description Unity is making a strategic investment in its ability to directly measure the effectiveness of its advertising products—specifically, whether a given ad drove an install—without relying exclusively on third-party mobile measurement partners (MMPs). The Principal Engineer for Ads Measurement will lead this effort. This role owns the vision and execution of Unity’s self-attribution capabilities, ensuring Unity can independently measure ad performance, develop reliable sources of ground truth for AI/ML optimization, and define a clear, intentional relationship with the MMP ecosystem. This leader will operate at the intersection of ads, data science, platform strategy, and developer trust, shaping how Unity measures, explains, and optimizes advertising outcomes in a fragmented and evolving measurement landscape. What you'll be doing - Architect Unity’s Measurement Foundation: Design and implement the scalable technical infrastructure required to measure install attribution and ad effectiveness independently. - Develop Self-Attribution Capabilities: Lead the engineering effort to build internal attribution signals and reliable, privacy-aware install measurement across multiple platforms. - Power AI/ML Optimization: Collaborate closely with data science and ML teams to ensure measurement data is high-quality and optimized for model training. - Technical Strategy for MMP Ecosystem: Define technical integration standards for Unity as a self-attributing network, ensuring consistent and secure data exchanges with the broader ecosystem. - Cross-Functional Technical Leadership: Drive technical alignment across Ads, Data, Engineering, and Privacy teams to ensure measurement becomes a durable strategic asset. Qualifications - Senior Engineering Experience: At least seven (7) years of senior engineering experience in high-growth environments. - Programmatic Proficiency: Deep technical expertise in Golang, Java, or C++. - Technical Expertise: Extensive experience (12+ years total) in software engineering, with a focus on ad tech, attribution, or large-scale data systems. - Domain Knowledge: Deep understanding of the technical challenges in mobile measurement, self-attributing networks, and the MMP ecosystem. - Data & AI/ML Proficiency: Proven track record of building data foundations that support complex AI/ML-driven optimization systems. - Architectural Leadership: Experience designing high-throughput, low-latency systems that handle billions of events in a privacy-sensitive manner. Requirements - Relocation support is not available for this position. - Work visa/immigration sponsorship is not available for this position. Benefits - Comprehensive health, life, and disability insurance. - Commute subsidy. - Employee stock ownership. - Competitive retirement/pension plans. - Generous vacation and personal days. - Support for new parents through leave and family-care programs. - Office food snacks. - Mental Health and Wellbeing programs and support. - Employee Resource Groups. - Global Employee Assistance Program. - Training and development programs. - Volunteering and donation matching program.

• Align with Product and Ops to clarify problem being solved • Ship quickly and iterate on product solutions • Opportunity to make an outsized impact and shape excellence in practice • Work alongside a small team of Product Engineers to enhance platform capabilities • Collaborate across different parts of the business based on strengths and interests

• Translate product initiatives into domain-level architecture • Define when to enhance existing bounded contexts versus introduce new domains • Apply Domain-Driven Design (DDD) to establish clear service boundaries • Prevent tight coupling by enforcing proper integration patterns • Define asynchronous communication patterns using Azure Service Bus and Event Grid • Design resilient, decoupled services that maintain data integrity in distributed systems • Establish patterns for state management and eventual consistency • Guide teams on trade-offs between synchronous APIs and event-based flows • Design the application layer using our core Azure stack • Architect how operational systems integrate with the broader data ecosystem • Define data ownership boundaries between applications and the data platform • Design integration patterns with Azure Data Factory and Databricks pipelines • Define API security, versioning, and traffic management standards via APIM • Produce Domain Design Documents (DDD) and work with Engineering to produce Technical Design Documents (TDD) • Mentor senior engineers and tech leads on architecture and design patterns • Review designs for alignment with platform standards • Collaborate with DevOps to ensure designs are deployable and observable • Promote security, resilience, and cost-aware design principles

• Translate product initiatives into domain-level architecture • Define when to enhance existing bounded contexts versus introduce new domains • Apply Domain-Driven Design (DDD) to establish clear service boundaries • Define asynchronous communication patterns using Azure Service Bus and Event Grid • Design resilient, decoupled services that maintain data integrity in distributed systems • Design the application layer using our core Azure stack: Azure Functions, Azure App Service, Azure Kubernetes Service (AKS), Azure API Management (APIM), Azure Front Door, Azure Key Vault • Architect how operational systems integrate with the broader data ecosystem • Define API security, versioning, and traffic management standards via APIM • Produce Domain Design Documents (DDD) and Technical Design Documents (TDD) and mentor engineers