Staff Technical Product Manager, Ads ML Platform

Details

Reddit's Ads ML Platform team builds the machine learning infrastructure and tools that power content understanding, ad targeting, and ad ranking models. The platform enables Machine Learning Engineers and Data Scientists to train, deploy, and iterate on models efficiently while supporting modern ML architectures.

As Staff Product Manager, you will own the vision and roadmap for the Ads ML platform, connecting complex machine learning systems to business outcomes. The role covers generative AI and LLM workflows, unified model-serving infrastructure, GPU utilization, platform reliability, latency, cost efficiency, usage metrics, and developer productivity.

Responsibilities

• Define the long-term strategy and roadmap for Reddit's Ads ML platform, including adoption of Generative AI and LLM workflows.
• Build products and tooling that reduce friction for Machine Learning Engineers and Data Scientists, enabling faster model training, deployment, and iteration.
• Partner with Engineering, Data Science, and Ads Product teams to understand constraints, prioritize platform initiatives, and deliver scalable infrastructure.
• Own key performance indicators related to platform reliability, latency, cost efficiency, usage, and developer productivity.
• Monitor the broader ML ecosystem, research papers, emerging architectures, and practical applications for Reddit's Ads ML platform.
• Conduct user research with Machine Learning Engineers in Ranking, Creative Effectiveness, and Content Understanding.
• Translate pain points such as slow backfills, limited training speed, and difficulty sharing features across models into precise product requirements aligned with the organization's broader vision.

Requirements

• At least 7 years of product management experience, focused on internal technical products, developer tools, data or ML platforms, and/or ads and content ranking.
• A deeply analytical and highly technical background, with comfort working in complex data systems and understanding the full machine learning lifecycle, including training, inference, deployment, and monitoring.
• Strong passion for machine learning and AI, including familiarity with current research, industry trends, architectures, and capabilities.
• Exceptional problem-solving skills and the ability to translate technical constraints such as GPU scheduling and latency budgets into actionable product roadmaps.
• Strong communication skills, including the ability to translate technical requirements for business stakeholders and business goals for engineering teams.

Preferred Qualifications

• Previous professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management.
• Understanding of the ad technology ecosystem, including bidding, ranking, and targeting.
• Experience implementing or managing systems supporting Generative AI and LLM workflows, including agentic automation, prompt iteration, fine-tuning, and retrieval-augmented generation (RAG).

Benefits

• 100% remote opportunity, with office locations in New York, San Francisco, Los Angeles, and Chicago for hybrid or on-site work preferences.
• Competitive salary and equity options.
• Medical, dental, and vision benefits.
• Workplace perks, including a home office setup stipend.
• 401(k) matching.
• Flexible vacation policy.
• Paid parental leave of 4 or more months.
• Family planning support.
• Paid volunteer time off.
• Reddit is an equal opportunity employer and provides reasonable accommodations for qualified individuals with disabilities and disabled veterans.