ProRata.ai - Principal Software Engineering Manager
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Requirements
• 10+ years of professional software engineering experience, with at least 3–5 years in a technical leadership or engineering manager role. • Extensive hands-on experience building or scaling ad serving systems for display, native, or search-based advertising (experience at SSPs, DSPs, or large ad platforms is highly valued). • Strong proficiency in at least one of: Python, Java, C++, Rust — with proven ability to write production-grade, high-performance code. • Deep experience designing large-scale distributed systems in cloud environments (AWS, GCP, or Azure), including high availability, low-latency architectures, and observability. • Solid understanding of GenAI/LLM concepts; experience with prompt engineering, agentic workflows, or GPU-based inference (CUDA/ROCm) is a strong plus. • Track record of delivering complex, high-impact systems end-to-end in fast-moving environments. • Excellent communication and collaboration skills — able to explain complex technical concepts clearly to both technical and non-technical stakeholders. • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). • Prior experience building advertising technology systems at scale. • Hands-on work with large language models, inference optimization, or agent-based architectures. • Startup experience — comfort operating with high ownership, evolving requirements, and limited resources. • Familiarity with programmatic advertising concepts (OpenRTB, real-time bidding, contextual targeting) and ad quality/fraud challenges.
Responsibilities
• Lead the design and development of our core ad serving infrastructure, ensuring high throughput, sub-100ms latency, and extreme reliability at scale. • Architect and build agentic backend systems powered by LLMs — enabling intelligent workflows for contextual ad placement, creative optimization, real-time brand safety, and dynamic decisioning. • Design and implement scalable reporting, analytics, and fraud detection systems to maintain ecosystem trust and performance transparency. • Drive technical strategy for cloud-native, distributed systems — making trade-offs around cost, latency, availability, and AI inference efficiency. • Mentor and grow a team of strong engineers; provide technical leadership, conduct code/design reviews, and help recruit top talent. • Collaborate cross-functionally with Product, Ads Engineering, and Business Development to translate business needs into robust, production-ready systems. • Contribute to our evolving technical roadmap, with emphasis on GenAI integration, prompt-based advertising, and seamless performance in AI surfaces.
Benefits
• The compensation for this position is competitive and commensurate with experience including: • Equity participation • Opportunity to work at the forefront of AI technology • Collaborative and innovative work environment • Professional development and growth opportunities • Chance to make a significant impact on the company's success • Equal Employment Opportunity
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