Job description

Key Responsibilities: - Define and drive the O&O technical strategy and vision in close partnership with Product leadership - Lead multiple high-performing engineering teams, setting clear goals and ensuring the timely delivery of robust, scalable software solutions. - Collaborate with Data Science leadership to translate research and models into production-grade systems - Ensure technical excellence through best practices in software design, code quality, observability, and automation - Foster a strong engineering culture of innovation, accountability, mentorship, and continuous improvement - Collaborate with engineering leadership to drive consistency across the platform and software development lifecycle (SDLC), establishing standards and practices that support scalability and long-term growth - Partner with business stakeholders to align engineering priorities with company goals and deliver measurable impact Required Qualifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (Ph.D. a plus) - 10+ years of engineering experience, with 5+ years leading multiple engineering teams - Prior experience in the ad tech ecosystem or similar high-performance domains - Proven track record of delivering complex AI/ML-driven products at scale, ideally in high-throughput, low-latency environments - Deep understanding of software engineering fundamentals, including system architecture, distributed systems, and cloud infrastructure - Experience managing large codebases, setting technical direction, and instituting best practices - Excellent communication and leadership skills — able to effectively engage with both technical and non-technical stakeholders Preferred Qualifications: - Hands-on knowledge of cloud platforms like GCP, AWS, or Azure - Experience with modern languages and frameworks such as Python, and Go - Experience partnering with Data Science and Product teams to deliver AI/ML capabilities

Requirements