Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on…
An Analytics Engineer at Reddit joins the Data Science team to build and maintain data pipelines, data quality checks, and internal analytics tools using Python, SQL, Spark, and Airflow, collaborating with data scientists and engineers across Consumer, Ads, and Marketing to deliver trustworthy data products.
Leads Reddit's Ads Data Science strategy, designing foundational ML and statistical solutions for the ads marketplace while mentoring senior data scientists and partnering with product and engineering teams. Uses Python/R, SQL, causal inference, econometrics, and experimentation to optimize advertiser ROI and revenue.
Staff ML Engineer leading Reddit’s ads retrieval modeling: designing candidate-generation and two-tower retrieval systems, running experiments, and setting technical direction while mentoring engineers on the Retrieval & Targeting team.
Senior Frontend Engineer on Reddit's Ad Formats Foundation team, building and maintaining ad rendering infrastructure and frontend experiences across desktop and mobile web using JavaScript, TypeScript, and React, while partnering with product and design to improve performance, accessibility, and reliability.
Leads product management for Reddit's Finance SaaS portfolio (treasury, planning, procure-to-pay, record-to-report, quote-to-cash, payroll, equity), coaching a small team of PMs while personally owning applications, and driving AI-enabled finance transformation across build-vs-buy decisions and vendor relationships.
Lead Forward Deployed Engineer (AI Enablement) at Reddit owns the vision for applied AI solving business problems, building AI applications, agents, and workflow automations across Sales, Marketing, Business Development, and Finance, while leading engineers and setting technical direction.
Principal Data Scientist for Reddit's User Ecosystem, setting the scientific direction for consumer problems such as discovery, personalization, growth, retention, and communities. Day to day: define measurement and experimentation strategy, build user/content/community models and causal frameworks at scale, and guide product decisions. Core technologies: machine learning, deep learning (PyTorch o
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