Staff Technical Product Manager, Ads ML Platform
New
R
RedditAdvertising technology
Listing locations: USAFull-TimeStaff
Salary$217,000 — $303,900 USD
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Job Details
- Experience
- At least 7+ years of product management experience
- Required Skills
- Product ManagementGenerative AI
Requirements
- At least 7+ years of product management experience.
- Prior focus on internal technical products, developer tools, data/ML platforms, and/or ads and content ranking.
- A deeply analytical and highly technical background.
- Comfort working with complex data systems and understanding the machine learning lifecycle, including training, inference, deployment, and monitoring.
- Genuine interest in machine learning and AI, including keeping up with research papers, industry trends, architectures, and capabilities.
- Strong problem-solving skills and ability to translate technical constraints such as GPU scheduling and latency budgets into product roadmaps.
- Strong communication skills and ability to translate technical requirements for business stakeholders and business goals for engineering teams.
- Preferred: prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer.
- Preferred: understanding of the ad tech ecosystem, including bidding, ranking, and targeting.
- Preferred: experience implementing or managing systems for Generative AI/LLM workflows, including agentic automation, prompt iteration, fine-tuning, or RAG.
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 training, deploying, and iterating on models.
- Partner with Engineering, Data Science, and Ads Product teams to understand constraints, prioritize platform initiatives, and deliver scalable infrastructure.
- Own KPIs for platform reliability, latency, cost-efficiency, usage, and developer productivity.
- Track ML research, emerging architectures, and ecosystem developments, and assess their practical application to the Ads ML platform.
- Conduct user research with MLEs in Ranking, Creative Effectiveness, and Content Understanding.
- Translate user pain points into precise product requirements and connect them to the broader organizational vision.
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