Principal Software Engineering Manager

AAAS

Principal Software Engineering Manager at ProRata.ai leading the design and scaling of AI-driven ad serving infrastructure. Collaborating with teams to deliver scalable, reliable, and innovative advertising solutions.

Posted 4/23/2026full-timeBellevue • Washington • 🇺🇸 United StatesLead💰 $220,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaPythonRust

About the role

Key responsibilities & impact

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.
Partner closely with the frontend team on campaign management, creative generation/optimization, and advertiser-facing tools.
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.

Requirements

What you’ll need

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).

Benefits

Comp & perks

Opportunity to work at the forefront of AI technology
Collaborative and innovative work environment
Competitive salary and benefits package
Professional development and growth opportunities
Chance to make a significant impact on the company's success

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavaC++Rustad serving systemsdistributed systemscloud environmentsGenAIprompt engineeringGPU-based inference

Soft Skills

technical leadershipcommunicationcollaborationmentoringcode reviewsdesign reviewsrecruitmentproblem-solvingstrategic thinkingcross-functional collaboration

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering