Staff Technical Product Manager, Ads ML Platform

Reddit, Inc.

Staff Product Manager driving cutting-edge ML platform for ads at Reddit. Defining vision and accelerating engineering velocity for intelligent ad solutions.

Posted 6/2/2026full-timeRemote • 🇺🇸 United StatesLead💰 $217,000 - $303,900 per yearWebsite

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring).
Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities.
Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps.
Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

product managementmachine learningdata systemsmodel trainingmodel deploymentmodel monitoringGPU schedulinglatency budgetsGenerative AILLM workflows

Soft Skills

analytical skillsproblem-solvingcommunication skillscross-functional leadershipuser researchtranslating technical requirementsarticulating business goals