Staff Technical Product Manager, Ads ML Platform
Remote$217k - $303.9kFull-timePosted 5mo ago
About the role
Staff Product Manager responsible for the Ads ML Platform infrastructure and tooling to enable faster ML development and production-ready ad products. Owns vision and roadmap to accelerate engineering velocity, integrates cutting-edge ML approaches (including Generative AI/LLMs), and ensures platform reliability, latency, and cost-efficiency.
Responsibilities
- Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve.
- Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever.
- Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure.
- Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity.
- Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platform.
- Distill pain points, translate to requirements: Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements. Validate the needs and ensure they are tied into a broader vision for the org.
Qualifications
- At least 7+ years of product management experience, with prior focus 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 ML lifecycle (training, inference, deployment, monitoring).
- Genuine passion for machine learning and AI; stay at the forefront of ML, read ML research papers, and stay informed on industry trends, architectures, and capabilities.
- Exceptional problem-solving skills; ability to translate technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps.
- Strong communication skills; translate technical requirements to business stakeholders and articulate business goals to engineering teams.
Skills
Required:Vision and roadmap developmentML platform engineering understandingCross-functional leadership
Nice to have:GenAI/LLM workflows
Benefits
- 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
- Competitive salary and equity options
- Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)
- Generous 401k matching
- Flexible vacation policy
- Paid parental leave (4+ months)
- Family planning support
- Paid volunteer time off
Last updated Oct 7, 2026. Interested? Apply on the company site.

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