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…
Leads ML forecasting and scenario modeling for Reddit's ads platform, building models that predict campaign outcomes under different budgets, bids, audiences, and creative performance. Owns modeling direction, production ML systems, and technical leadership across advertiser planning and recommendations.
Senior Business Analyst building and maintaining data infrastructure and analytical tooling for Reddit's Large Customer Sales channel, using BigQuery, SQL, ETL pipelines, and Looker dashboards to drive revenue strategy and enable AI-driven analytics.
Senior Program Manager leading business process transformation for Reddit's GTM Excellence team, focusing on scaling sales processes, designing scalable operating models, and driving cross-functional alignment to increase seller productivity and improve advertiser experience. Requires 5+ years in strategic program management, consulting, or business operations, with strong analytical and stakehold
Senior Software Engineer on Reddit's Agentic Ads Experience team building AI-powered advertiser-facing interfaces (campaign assistants, creative generation, audience discovery) using generative AI, LLMs, and agentic systems; requires 5+ years production engineering and hands-on gen AI application experience.
Senior Staff Data Scientist leading relevance measurement and evaluation for Reddit's Consumer team, partnering with Feeds and Search ML teams to design metrics, experiments, and analytical frameworks for ranking and recommendation systems at scale using SQL, Python/R, and causal inference.
Staff ML Engineer on Reddit's Ads Creative Effectiveness team building GenAI products for ad creative generation (image/video/copy), brand-safe editing pipelines, and LLM/VLM fine-tuning with RLHF/RLPF using ad performance metrics.
Staff Technical Product Manager for Reddit's Ads ML Platform, owning the vision and roadmap for ML infrastructure that powers ad targeting, content understanding, and ranking. Partners with engineering and data science teams to build ML tools, optimize GPU utilization, and integrate generative AI/LLM workflows.
Builds machine-learning forecasting models that help Reddit advertisers estimate campaign outcomes under different budgets, bids, audiences, and objectives; owns end-to-end production ML pipelines for ads forecasting and scenario modeling.
Frontend Engineer on Reddit's Brand Ad Formats team building ad experiences for the web app using TypeScript, React, and Go. Collaborates across product, design, and engineering to create high-performance, data-intensive ad formats including video and AI-driven UGC ads.
Mid-level frontend engineer on Reddit's Ads Manager team building intuitive, accessible interfaces for advertisers to create and manage campaigns at scale. Owns medium-sized projects end-to-end, collaborating with PMs, designers, and backend engineers to deliver performant, reliable advertising tools.
Senior Product Manager on Reddit's Go-to-Market Systems team, owning vision and roadmap for sales technology tools that boost seller productivity and advertiser growth. Builds Salesforce-based automation, data enrichment, and AI-driven workflows for the global sales org.
Staff Data Scientist who leads Reddit's Marketing Intelligence strategy, owning the multi-year measurement roadmap, MMM/MTA models, and incrementality experiments that optimize hundreds of millions in B2B advertiser and B2C user growth spend. Works with Python/R, SQL, and machine learning, mentors scientists, and influences C-suite stakeholders on marketing budget allocation.
Lead Reddit's marketing measurement strategy as a Staff Data Scientist, owning MMM/MTA systems, incrementality testing, and causal inference to optimize B2B and B2C marketing spend using Python/R and SQL.
Staff Machine Learning Engineer building advanced ML models (DNNs, transformers) for Reddit's Ads Ranking system, focusing on app ads modeling, feature engineering, and large-scale recommendation systems using TensorFlow/PyTorch.
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