About the RoleYou will own critical components of the ad serving system, including low-latency ad decisioning, agentic backend workflows, robust reporting, and fraud detection.
This is a high-impact, hands-on leadership position. You will blend deep technical architecture with team guidance, working closely with frontend, product, and business development teams to deliver a next-generation ad platform that is scalable, reliable, and truly AI-native.
Key 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.
- 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.
Qualifications- 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).
Preferred Qualifications- 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.
CompensationThe compensation for this position is competitive and commensurate with experience including:
- Base salary range: $220,000 - $260,000
- Equity participation
What We Offer- 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
