Staff / Principal

The Ads Marketplace team is a strategic growth engine for Reddit Ads, aiming to democratize high-performance advertising. The Ads ML Platform team builds the foundation that powers content understanding, ad targeting, and ad ranking models, empowering ML engineers and data scientists to move faster and build smarter.

As the Staff Product Manager for the Ads ML Platform, you will own the infrastructure and tools that make the ads marketplace intelligent. You will define the vision and roadmap for a platform that enables engineering velocity and supports modern ML architectures, bridging complex ML systems and business outcomes. This includes integrating generative AI, establishing unified model-serving infrastructure, and optimizing GPU utilization.

• Define the long-term strategy and roadmap for Reddit’s Ads ML platform, adopting cutting-edge technologies including 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 prioritize platform initiatives and deliver scalable infrastructure.
• Own KPIs around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity.
• Stay current with the ML ecosystem, reading research papers and understanding emerging architectures.
• Conduct user research with MLEs in Ranking, Creative Effectiveness, and Content Understanding to convert pain points into precise product requirements.

• At least 7+ years of product management experience, with prior focus on internal technical products, developer tools, data/ML platforms, and/or ads and content ranking.
• Deeply analytical and highly technical background, comfortable with complex data systems and the entire machine learning lifecycle (training, inference, deployment, monitoring).
• Genuine passion for machine learning and AI, staying at the forefront of ML research and industry trends.
• Exceptional problem-solving skills, translating technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps.
• Strong communication skills, translating technical requirements to business stakeholders and vice versa.

• Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management.
• Understanding of the Ad Tech ecosystem (bidding, ranking, targeting).
• Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG).

• 100% remote opportunity (with 4 office locations for hybrid/onsite preference in NY, SF, LA, and Chicago).
• Competitive salary and equity options.
• Comprehensive health benefits (medical, dental, vision) and workplace perks (home office setup stipend, etc.).
• Generous 401k matching.
• Flexible vacation policy.
• Paid parental leave (4+ months).
• Family planning support.
• Paid volunteer time off.

The base salary range for this position is $217,000—$303,900 USD. In addition to base salary, this role is eligible to receive equity in the form of restricted stock units, and depending on the position, may also be eligible for a commission.

Apply through the provided Greenhouse job posting link.