Senior PM, Ads ML Platform — Build Next-Gen Ad Tech

Promptcube3; Northern (KY); Hybrid; USD 191,000 - 267,000; Full time

Benefits offered by this job

Remote work

Competitive salary and equity

Health benefits

401k matching

Flexible vacation

Paid parental leave

Family planning support

Volunteer time off

Job summary

Reddit is seeking a Senior Product Manager for the Ads ML Platform to own infrastructure and tooling enabling faster model training, deployment, and iteration. You will bridge ML systems with business impact, guiding the platform’s vision and roadmap in alignment with Advertising goals.

You’ll collaborate with engineering and data science teams to reduce friction, improve reliability, and optimize GPU utilization while staying at the forefront of AI research and industry trends.

Qualifications

• Technical background in ML lifecycle (training, inference, deployment, monitoring).
• Ability to translate highly technical constraints into actionable product roadmaps.
• Strong communication with engineering and business stakeholders.

Responsibilities

• Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform.
• Accelerate Velocity: Build tooling to reduce friction for MLEs and Data Scientists.
• Cross-Functional Leadership: Partner with Engineering, Data Science, and Ads Product teams to prioritize platform initiatives.
• Drive Execution and Adoption: Own KPIs around reliability, latency, and cost-efficiency.
• Stay Cutting-Edge: Track ML research and determine practical applications for Reddit’s Ads ML platform.

Skills

Technical background

ML platforms

Analytics

Cross-functional leadership

Communication

Tools

Generative AI/LLM workflows

Job description

Reddit is seeking a Senior Product Manager for the Ads ML Platform to own infrastructure and tooling enabling faster model training, deployment, and iteration. You will bridge ML systems with business impact, guiding the platform’s vision and roadmap in alignment with Advertising goals.

You’ll collaborate with engineering and data science teams to reduce friction, improve reliability, and optimize GPU utilization while staying at the forefront of AI research and industry trends.