Reddit is building out a first-class ads platform with new products that connect advertisers with highly engaged, passionate communities. The Advertiser Optimization org is driving this by building out auto-bidding and conversion-based products that will reshape the advertiser experience at Reddit.
Requirements
- Significant experience managing engineering teams, ideally in machine learning or similarly technical domains.
- Extensive hands-on experience building and operating large-scale Ads or Marketplace systems.
- Hands-On ML Proficiency (preferred): Experience with real-time serving systems, model development, and optimization pipelines.
- Control Systems & Algorithms: Familiarity with PID controllers, multi-armed bandits, reinforcement learning, or other bidding/pricing optimization approaches.
- Marketplace Optimization: Skilled in designing new bidding optimization algorithms and conducting A/B tests to evaluate business and marketplace impact.
- Experimentation & Data Analysis: Knowledge of metric design, experimentation methodologies, and large-scale data analysis.
- System Architecture & Scalability: Expertise in building and maintaining scalable systems, high-performance serving architectures, real-time streaming, and robust data pipelines.
Responsibilities
- Define and execute the long-term roadmap for the Auto-Bidding team, balancing innovation, efficiency, and revenue impact
- Collaborate with leadership to align technology investments with broader business objectives
- Oversee the design, implementation, and maintenance of high-performance advertiser- and sales-facing products
- Ensure these systems meet or exceed accuracy goals, advertiser expectations, and system reliability standards
- Recruit, mentor, and retain top engineering talent.
- Foster a collaborative, inclusive, and high-performing culture with a strong emphasis on technical mentorship and career development
- Drive best practices for model quality, experimentation, system reliability, and operational excellence
Other
- People Management & Team Building: Demonstrated success in managing, mentoring, and growing teams. Skilled in hiring, performance management, and fostering diverse, inclusive environments.
- Cross-Functional Collaboration: Partner with Product Managers and other engineering teams to align technical work with product requirements and KPIs
- Effectively communicate complex technical concepts to non-engineering stakeholders
- Strategic Vision: Ability to define a clear technical vision and lead day-to-day execution.
- Cross-Functional Collaboration: Comfortable working across disciplines—engineering, product, data science—and communicating technical ideas to broad audiences.
