[Remote] Staff Technical Product Manager, Ads ML Platform

Note: The job is a remote job and is open to candidates in USA. Reddit, Inc. is a community-driven platform that facilitates open conversations on the internet. They are seeking a Staff Technical Product Manager for the Ads ML Platform to define the vision and build the roadmap for a scalable machine learning infrastructure that enhances ad performance and developer productivity.ResponsibilitiesDefine the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curveAccelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than everCross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructureDrive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivityStay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platformDistill pain points, translate to requirements: Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements. Validate the needs and ensure they are tied into a broader vision for the orgSkillsAt least 7+ years of product management experience, with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content rankingDeeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring)Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilitiesExceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmapsStrong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teamsPrior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product ManagementUnderstanding of the Ad Tech ecosystem (bidding, ranking, targeting)Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG)Benefits100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)Competitive salary and equity optionsComprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)Generous 401k matchingFlexible vacation policyPaid parental leave (4+ months)Family planning supportPaid volunteer time offEquity in the form of restricted stock unitsCommission (depending on the position offered)Medical, dental, and vision insurance401(k) program with employer matchGenerous time off for vacationParental leaveCompany OverviewReddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. It was founded in 2005, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.redditinc.com.Company H1B SponsorshipReddit, Inc. has a track record of offering H1B sponsorships, with 22 in 2026, 99 in 2025, 63 in 2024, 76 in 2023, 70 in 2022, 68 in 2021, 39 in 2020. Please note that this does not guarantee sponsorship for this specific role.