• A Full Stack Developer produces enterprise web-applications using Java, React, and SQL. • This position helps lead small teams to develop and deliver high-quality SaaS solutions. • This role also implements full-stack features from database design, to Services and APIs, to the user interface.

• Write and ship production code with meaningful customer and business impact • Lead frontend architecture and technical direction for a new, high-impact product surface • Partner closely with your PM and Designer to define compelling, challenging goals for the team • Drive projects end-to-end — from problem framing through execution and iteration • Make pragmatic technical decisions that prioritize long-term maintainability and product velocity • Work proactively to solve reliability and performance issues • Foster a culture of autonomy, psychological safety, and engineering excellence • Mentor and grow engineers, helping senior engineers expand their scope and impact • Set a high bar for quality and reliability without slowing teams down

• Design and implement the scalable technical infrastructure required to measure install attribution and ad effectiveness independently. • Lead the engineering effort to build internal attribution signals and reliable, privacy-aware install measurement across multiple platforms. • Collaborate closely with data science and ML teams to ensure measurement data is high-quality and optimized for model training. • Define technical integration standards for Unity as a self-attributing network, ensuring consistent and secure data exchanges with the broader ecosystem. • Drive technical alignment across Ads, Data, Engineering, and Privacy teams to ensure measurement becomes a durable strategic asset.

• Build and Maintain SaaS Products • Design, develop, and maintain scalable line-of-business SaaS applications • Build backend services, APIs, and data models • Ensure system performance, reliability, and security • Collaborate with product and business stakeholders to translate operational needs into software solutions • Integrate AI Capabilities • Leverage LLMs and AI APIs to enhance product functionality • Implement AI-driven features such as workflow automation, summarization, data extraction, classification, and intelligent search • Integrate AI into existing product architecture responsibly and efficiently • Monitor usage, performance, and cost of AI-powered features • Architect for Scalability • Contribute to service-oriented or microservice architectures where appropriate • Design clean API layers and integration patterns • Optimize database performance and data structures • Maintain observability and logging across systems Improve and Iterate • Continuously refine and enhance product capabilities • Refactor and improve existing systems as the platform grows • Ship features incrementally and iterate based on real-world feedback • Improve and Iterate • Continuously refine and enhance product capabilities • Refactor and improve existing systems as the platform grows • Ship features incrementally and iterate based on real-world feedback