✨ AI Insights & Summary
Join Reddit, a vibrant "community of communities," as a Staff Product Manager for their Ads ML Platform and play a crucial role in shaping the future of advertising technology. This is a high-impact opportunity to drive innovation at the intersection of AI, machine learning, and platform engineering, directly influencing how brands connect with users on one of the internet's largest platforms. If you're a technically adept product leader passionate about democratizing high-performance advertising and accelerating ML development, this role offers the chance to build the foundational infrastructure for cutting-edge ad products.
Staff Product Manager, Ads ML Platform
Reddit is a community of communities, built on shared interests, passion, and trust. With over 100,000 active communities and approximately 126 million daily active unique visitors, Reddit is a significant source of online information and discussion.
Team Description
The Ads Marketplace team is a strategic growth engine for Reddit Ads, focused on democratizing high-performance advertising. The Ads ML Platform team builds the foundational machine learning infrastructure that powers content understanding, ad targeting, and ad ranking models, empowering ML engineers and data scientists to innovate faster.
The Role
As the Staff Product Manager for the Ads ML Platform, you will own the vision and roadmap for the infrastructure and tools that power Reddit's intelligent ads marketplace. You will bridge complex ML systems with business outcomes, integrating cutting-edge technologies like generative AI and optimizing ML architectures to accelerate the development and deployment of high-performance ad products.
Responsibilities
- Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, incorporating cutting-edge technologies like Generative AI and LLM workflows.
- Accelerate Velocity: Develop products and tooling to significantly reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling faster model iteration.
- Cross-Functional Leadership: Collaborate closely with Engineering, Data Science, and Ads Product teams to prioritize and deliver scalable infrastructure.
- Drive Execution and Adoption: Own KPIs related to platform reliability, latency, cost-efficiency, usage, and developer productivity.
- Stay Cutting-Edge: Monitor the ML ecosystem, research emerging architectures, and apply relevant advancements to the Ads ML platform.
- Distill pain points, translate to requirements: Conduct user research with MLEs to identify pain points and translate them into precise product requirements, ensuring alignment with the organizational vision.
Minimum Qualifications
- 7+ years of product management experience, with a focus on internal technical products, developer tools, data/ML platforms, or ads/content ranking.
- Deeply analytical and highly technical background, comfortable with complex data systems and the full machine learning lifecycle.
- Genuine passion for machine learning and AI, staying current with research and industry trends.
- Exceptional problem-solving skills and the ability to translate technical constraints into actionable roadmaps.
- Strong communication skills, effectively bridging technical and business stakeholders.
Preferred Qualifications
- Prior professional experience as an ML Engineer, Data Scientist, or Backend Software Engineer.
- Understanding of the Ad Tech ecosystem (bidding, ranking, targeting).
- Experience with systems supporting Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG).
Perks and Benefits
- 100% remote opportunity (with office locations for hybrid/onsite preference).
- Competitive salary and equity options.
- Comprehensive health benefits (medical, dental, vision) & workplace perks.
- Generous 401k matching.
- Flexible vacation policy.
- Paid parental leave (4+ months).
- Family planning support.
- Paid volunteer time off.