This role pays more than
80%
of similar roles. Most pay
$188,312–$254,750
— the shaded band above.
At the midpoint, this role pays about
$260k
versus about
$222k
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
77 open roles
on FindRole.
Listed pay typically runs
$217,000–$303,400
across 77 roles with salary data.
Staff Technical Product Manager, Ads ML Platform joins the Ads Marketplace team to oversee the infrastructure and tools powering content understanding, ad targeting, and ranking models. This role involves defining the long-term strategy and roadmap for a platform that enables engineering velocity by integrating generative AI, LLM workflows, and unified model-serving infrastructure while optimizing GPU utilization. The successful candidate will bridge complex machine learning systems with business outcomes, translating technical constraints like latency budgets and training speeds into actionable requirements. Key responsibilities include conducting user research with engineers to resolve pain points in ranking and creative effectiveness. Required expertise includes a deep understanding of the machine learning lifecycle, including training, inference, deployment, and monitoring, alongside experience with data systems, ad tech ecosystems, and advanced technologies such as RAG and fine-tuning.
What does a Technical Product Manager earn?
Median $182500 from 33 postings across 16 companies.
Integrate advanced technologies like Generative AI to improve developer productivity and infrastructure efficiency.
Optimize GPU utilization and unified model-serving infrastructure to accelerate the delivery of ad products.
Monitor the broader ML ecosystem to identify and implement emerging architectures into the existing platform.
What we're looking for
At least 7 years of product management experience.
Experience focusing on internal technical products, developer tools, data/ML platforms, or ads and content ranking.
A highly technical background with an understanding of the entire machine learning lifecycle including training, inference, deployment, and monitoring.
Ability to translate complex technical constraints like GPU scheduling and latency budgets into actionable product roadmaps.
Strong communication skills to bridge technical requirements between engineering teams and business stakeholders.
Experience implementing or managing systems that support Generative AI and LLM workflows is preferred.
Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer is preferred.
Knowledge of the Ad Tech ecosystem including bidding, ranking, and targeting is preferred.
Remote (New York, NY)+410 days ago
$106,605–$284,280
Machine Learning
AI
MLOps
Data Analytics
Agile
Scrum
Clinical Data
Claims Data
QA
Data Science
Statistical Risk Management
Model Monitoring
Data Interoperability