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Senior Product Manager builds AI-powered GTM systems to automate sales workflows, improve seller productivity, and scale Reddit's revenue operations using tools like Salesforce and data enrichment.
Lead Reddit’s marketing measurement strategy, building Media Mix Models and incrementality tests to optimize hundreds of millions in ad spend and drive advertiser/user growth.
Own the Product Catalogs and Applied Product Knowledge Graph that power Reddit’s paid and organic shopping ads, driving ROAS and product discovery through AI-driven enrichment and automation.
Lead Android engineering for Reddit’s video and interactive ad formats, defining technical strategy and mentoring teams to build scalable, high-performance mobile ad experiences.
The Staff Product Manager will lead the strategy and execution for Reddit's ad formats and browser experiences, collaborating with engineering, design, and data science teams to optimize ad performance. This role focuses on driving foundational investments and lower-funnel ad formats to deliver value for advertisers and users.
Build and refine Reddit’s ad-measurement and identity systems using probabilistic modeling, causal inference, and ML to improve advertiser ROAS and privacy-safe targeting.
Staff Data Scientist on Reddit’s Ads team building identity resolution, lift measurement, and predictive models to improve ad performance and advertiser ROI.
Lead the ML strategy and architecture for Shopping Ads delivery, building models for targeting, retrieval, ranking, and conversion prediction to improve advertiser outcomes.
Build and scale ML platforms for Reddit’s Ads team, including distributed training, experiment tracking, and agentic AI workflows to accelerate model development and deployment.
Build and apply ML models to improve Reddit’s ad platform, analyzing large-scale data to drive advertiser performance and platform growth.
Builds and optimizes ML infrastructure and models for Roku’s ad-tech platform, focusing on real-time optimization, feature engineering, and large-scale distributed systems to improve ad relevance, yield, and campaign performance.
Staff Software Engineer at The Trade Desk in Madrid builds and maintains large-scale, distributed systems for digital advertising, using cloud platforms, Java/Scala, and DevOps tools.
Owns Roku’s audience-targeting products that turn viewer data into actionable segments for advertisers, driving ad relevance and measurable outcomes across streaming TV.
Staff Software Engineer on The Trade Desk's User Trail team, building and directing the analytics/observability platform that captures user interaction data across web apps and powers an AI-powered internal assistant and self-service tools.
Legal counsel negotiates and structures ad-tech and media deals, advises on privacy in programmatic advertising, and partners with sales and platform teams to scale Roku’s ad business.
Builds and maintains scalable data pipelines, APIs, and backend services for Roku’s advertising automation and financial data systems, leveraging Java/Scala, Spark, Airflow, and Kubernetes to drive insights for advertisers and internal teams.
Build and ship ML models for ad relevance and bid/yield optimization, then serve them in real time at scale using Spark, Python, and Java.
Build and productionise ML and generative-AI systems for Roku’s advertising measurement and insights products, using large-scale data platforms and partnering with data scientists and engineers.
Build and productionise ML and generative-AI systems for Roku’s advertising data, including identity resolution, audience modeling, and campaign optimization.
Build and lead production-grade AI and agentic systems for Roku’s ad platform, driving automation and optimization across campaign lifecycle and revenue workflows.
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