Staff Technical Product Manager, Ads ML Platform Reddit · US · platform $191k–267k/yr $191k–267[...]

ScrollLaunch; Northern (KY); On-site; USD 191,000 - 267,000; Full time

Benefits offered by this job

Health

Dental

Vision

Equity

Bonus

401k Match

PTO

Parental Leave

Learning Budget

Home Office Stipend

Job summary

Reddit is seeking a Staff Technical Product Manager to own the Ads ML platform, leading strategy and roadmap for platforms powering content understanding, ranking, and targeting.

You will collaborate with ML engineers and data scientists to build unified serving infrastructure, optimize GPU usage and costs, and remove bottlenecks by distilling pain points across cross-functional teams.

Qualifications

• 7+ years of experience in technical products, developer tools, or ML platforms.
• Ability to translate GPU scheduling and latency budgets into roadmaps.
• Background as an MLE, Data Scientist, or Backend Engineer.
• Experience conducting user research with internal engineering teams.

Responsibilities

• Lead Ads ML platform vision and roadmap.
• Build developer tools for MLEs and Data Scientists.
• Develop unified model-serving infrastructure.
• Optimize GPU utilization and cost-efficiency metrics.

Skills

7+ years experience

ML platforms

GPU scheduling

Roadmap translation

MLE/Data Scientist

User research

Job description

# Staff Technical Product Manager, Ads ML PlatformRedditThis Staff Product Manager role oversees the internal ML infrastructure for an ads marketplace. You will lead the strategy and roadmap for platforms that power content understanding, ranking, and targeting.### What you’d own* Ads ML platform vision and roadmap* Developer tools for MLEs and Data Scientists* Unified model-serving infrastructure* GPU utilization and cost-efficiency metrics### Who it’s forA fit if you...* ✓You have 7+ years of experience in technical products, developer tools, or ML platforms.* ✓You can translate complex constraints like GPU scheduling and latency budgets into roadmaps.* ✓You have a background as an MLE, Data Scientist, or Backend Engineer.* ✓You are comfortable conducting user research with internal engineering teams to identify friction.Not for you if...* ✗You prefer consumer-facing products over internal platform and infrastructure work.* ✗You prefer a role with less ambiguity regarding the ML lifecycle (training, inference, deployment).* ✗You are not comfortable staying current on research papers and emerging ML architectures.### Reading between the lines* The emphasis on 'accelerating velocity' and 'reducing friction' suggests you will be expected to act as an internal consultant to remove organizational bottlenecks.* The requirement to 'distill pain points' from Ranking and Creative teams implies a high degree of cross-functional coordination with non-platform stakeholders.Apply nowPostedYesterdaySenioritySeniorSalary$191k–267k/yrLocationUSProduct areaplatformTypeFull-time### Role typeAI Native### BenefitsHealthDentalVisionEquityBonus401kRetirement MatchPTOParental LeaveLearning BudgetHome Office StipendFull job description### About RedditSee all roles →Reddit is one of the world's largest online communities, organized into hundreds of thousands of topic-based subreddits where users share links, text posts, and have discussions voted up or down by the community. It attracts over 70 million daily active users and has become a primary destination for niche interest communities, hobbyist forums, and authentic peer advice. Reddit went public on NYSE in March 2024 after years as one of the most-valued private consumer internet companies. The company generates revenue primarily through advertising and has been investing in its data licensing business, which became prominent in the context of AI training data deals.