below marketmost similar roles pay hereabove market
This role pays more than
70%
of similar roles. Most pay
$193,912–$267,900
— the blue band above.
At the midpoint, this role pays about
$260k
versus about
$231k
for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has
89 open roles
on FindRole.
Listed pay typically runs
$216,700–$303,000
across 89 roles with salary data.
The Staff Technical Product Manager, Ads ML Platform joins the Ads Marketplace team to lead the strategy and roadmap for the machine learning infrastructure powering content understanding, ad targeting, and ad ranking models. This role involves building products and tooling that increase engineering velocity for Machine Learning Engineers and Data Scientists. You will manage the full machine learning lifecycle, including training, inference, deployment, and monitoring. Key responsibilities include optimizing GPU utilization, establishing unified model-serving infrastructure, and integrating generative AI and LLM workflows such as RAG, fine-tuning, and agentic automation. You must translate technical constraints like latency budgets into actionable requirements while managing KPIs for platform reliability and cost-efficiency. The role requires deep expertise in data systems, ads technology, and complex ML research architectures.
What does a Technical Product Manager earn?
Median $189825 from 48 postings across 19 companies.
Define the long-term strategy and roadmap for the Ads ML platform using cutting-edge technologies like Generative AI.
Build products and tooling to reduce friction for Machine Learning Engineers and Data Scientists during model training and deployment.
Conduct user research with internal teams to convert technical pain points into precise product requirements.
Own key performance indicators for platform reliability, latency, cost-efficiency, and developer productivity.
Translate complex technical constraints like GPU scheduling and latency budgets into actionable product roadmaps.
Partner with Engineering and Data Science teams to prioritize platform initiatives and deliver scalable infrastructure.
Monitor the ML ecosystem to identify and apply emerging architectures and research to the Ads ML platform.
What we're looking for
At least 7+ years of product management experience with a focus on internal technical products, developer tools, data/ML platforms, or ads and content ranking.
Deeply analytical and highly technical background with the ability to understand the entire machine learning lifecycle including training, inference, deployment, and monitoring.
Genuine passion for machine learning and AI, including staying informed on the latest research papers, industry trends, and architectures.
Exceptional problem-solving skills to translate technical constraints like GPU scheduling and latency budgets into actionable product roadmaps.
Strong communication skills to translate technical requirements for business stakeholders and articulate business goals to engineering teams.
Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer (preferred).
Understanding of the Ad Tech ecosystem including bidding, ranking, and targeting (preferred).
Experience implementing or managing systems that support Generative AI/LLM workflows such as Agentic automation, Prompt iteration, Fine-tuning, and RAG (preferred).
Remote (New York, NY)63 days ago
$292,500–$409,500
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