The Ads Policy Lead will own the development, drafting, and maintenance of strategic advertising policies for Reddit's global platforms. They will collaborate with product and engineering teams to embed policy guardrails and serve as a decision-maker on complex policy escalations.
You will design, develop, and maintain full-stack applications while ensuring system performance, security, and scalability. You will also collaborate with cross-functional teams to deliver high-quality products and mentor other engineers to improve development standards.
You will collaborate with cross-functional teams to design, develop, and launch features for Reddit's high-traffic feed pages. Additionally, you will contribute to backend architecture, mentor engineers, and drive a culture of metrics-led execution and system observability.
You will drive technical and product strategy for the Reddit Comments page while working cross-functionally to build and launch novel features. You will contribute to the full development cycle, including technical design, code reviews, and establishing best practices for developer workflows.
You will design and implement fullstack solutions for Reddit's web media player, focusing on video and audio delivery. You will collaborate cross-functionally to build seamless, low-latency playback experiences while mentoring junior engineers.
You will define the backend architecture for media creation tools and own the infrastructure that powers video and image content processing. You will work cross-functionally to build scalable APIs and contribute to the full development cycle from design to launch.
You will own the technical strategy for the end-to-end Ads ML engineer lifecycle, focusing on feature development, training data, and model iteration workflows. You will also partner across cross-functional teams to define architecture standards and build platform abstractions that improve development velocity.
You will define and build the technical components for ingesting, processing, storing, and delivering video and audio content at scale. You will collaborate cross-functionally to execute product strategy while mentoring junior engineers and improving developer workflows.
The Director of Intellectual Property will define and execute Reddit's global IP litigation strategy while overseeing the company's worldwide IP portfolio. They will provide expert legal counsel on copyright, patent, trademark, and trade secret matters to cross-functional teams and leadership.
Design, develop, and maintain user-facing product features while ensuring system performance, security, and scalability. Collaborate with cross-functional teams including product managers, designers, and data scientists to deliver high-quality products throughout the full development cycle.
Design, build, and deploy production-grade machine learning models and systems at scale to power core platform experiences. Own the full ML lifecycle from problem definition and feature engineering to training, evaluation, deployment, and monitoring.
Design, build, and deploy production-grade machine learning models and systems at scale to power core platform experiences. Own the full ML lifecycle, including problem definition, feature engineering, training, evaluation, deployment, and monitoring.
The Senior Growth Manager will design and execute growth experiments to strengthen user and community ecosystems across international markets. They will translate successful initiatives into repeatable models and collaborate cross-functionally to drive performance and engagement.
The Community Manager will develop and execute strategic plans to grow and cultivate local French-speaking communities on Reddit. They will work cross-functionally to optimize the international consumer growth playbook through data-driven insights and moderator engagement.
You will work cross-functionally to execute product strategy and build novel features for the Safety and Moderation organization. Additionally, you will lead a team of engineers, set technical standards, and contribute to the full development cycle from design to launch.
Define the UX architecture and multi-year experience strategy for Presence across profiles, identity, and discovery surfaces. Lead ecosystem-level design decisions while collaborating with cross-functional teams to ensure coherence and scalability.
You will design, write, and deliver scalable, fault-tolerant software to improve the availability and efficiency of Reddit's core content platform. Additionally, you will collaborate with cross-functional teams to maintain critical services and participate in on-call rotations to ensure system reliability.
The International Payroll Lead will manage and scale global payroll operations across LATAM, EMEA, and APAC, ensuring compliance and accuracy. They will also lead payroll technology projects, specifically leveraging Workday to automate workflows and optimize system configurations.
Design and apply data science solutions to improve advertiser experience and the performance of the ad platform. Collaborate with product managers and engineers to translate requirements into data-driven insights and ML models.
You will collaborate with a team of software engineers to build and maintain the foundational platform for Reddit's infrastructure. Your work will involve delivering software to improve the availability, scalability, and efficiency of observability components while contributing to open-source projects.
Lead the architectural design and implementation of high-performance backends for ad creative generation using GenAI and predictive models. Collaborate with cross-functional teams to build scalable infrastructure that optimizes ad performance and ensures brand safety.
You will adapt Reddit's platforms to meet evolving privacy, security, and regulatory requirements while partnering with cross-functional teams to build trusted user experiences. You will also own product areas end-to-end, from technical design and coding to experimentation and launch.
Lead the technical strategy for Reddit's Video Ads and provide guidance on new, high-performance ad formats. Drive the full development lifecycle from discovery and prototyping to deployment while mentoring senior engineers.
You will lead product strategy through measurement, experimentation, and causal analysis while partnering with cross-functional teams to drive growth. Additionally, you will build self-serve data tools, define team-level KPIs, and mentor junior data scientists to improve data literacy.
You will architect and lead the development of large-scale machine learning techniques to enhance personalization and recommendation quality across Reddit. Additionally, you will partner with infrastructure teams to build high-performance distributed training systems and mentor senior and mid-level engineers.
You will design, train, and optimize large-scale machine learning platforms for recommendation and personalization systems. You will also own technical components end-to-end, from problem framing through production rollout and performance monitoring.
You will lead a high-impact team of machine learning engineers to define the technical vision and roadmap for media ranking and feed relevance. The role involves overseeing the development of sophisticated discovery systems while partnering cross-functionally to drive product and business objectives.
Define and lead the UX engineering strategy across Reddit Ads while building high-quality prototypes to validate product directions. Partner with cross-functional teams to create reusable systems and tools that improve interaction quality and development efficiency.
You will drive the development of GenAI-powered recommendations and set the technical direction for the Relevance and Feeds teams. Additionally, you will mentor senior staff and collaborate with cross-functional partners to deliver high-impact technical initiatives.
You will own the end-to-end strategy and roadmap for Reddit's product catalogs and Applied Product Knowledge Graph to drive monetization and shopping discovery. This involves partnering with engineering and ads teams to improve advertiser onboarding, implement AI-driven catalog enrichment, and scale the platform's capabilities.
Define UX strategy and experience architecture across identity, profiles, and community representation initiatives. Partner with cross-functional teams to turn ambiguous opportunities into scalable frameworks and functional prototypes.
Design and build large-scale offline ML experimentation platforms and production-grade training orchestration frameworks. Develop infrastructure for experiment tracking, model registries, and agentic AI execution platforms to support autonomous workflows.
Lead the technical strategy and architecture for machine learning models powering Shopping Ads delivery across targeting, retrieval, and ranking. Own the end-to-end model development lifecycle, from feature engineering and offline evaluation to online experimentation and production deployment.
You will lead the product management of the Finance SaaS portfolio, driving AI-first finance strategies and managing a team of product managers. You will also maintain direct ownership over specific applications, setting the vision and roadmap while partnering with engineering and finance leadership.
The Enterprise Architect will own the end-to-end technical architecture for Finance systems, including ERP, data pipelines, and planning tools. They will also act as a primary technical liaison for Finance leadership to translate business requirements into scalable, compliant architectural solutions.
You will refine and maintain messaging infrastructure to support asynchronous communication for hundreds of millions of users. Additionally, you will own the infrastructure, including managed and self-hosted components, while developing long-term technical strategies.
You will define the long-term scientific strategy for ads measurement, signal quality, and privacy-aware attribution at Reddit. This role involves leading cross-functional initiatives to build rigorous evaluation frameworks and mentoring senior data scientists to advance technical standards.
You will design and implement probabilistic models for identity resolution and advance lift methodologies to improve advertising performance. Additionally, you will lead cross-functional initiatives to define ground truth frameworks and maximize signal quality for predictive bidding models.
Lead a high-impact team of Machine Learning Engineers to develop and optimize recommendation systems that enhance user growth and community health. Define the technical vision and roadmap while partnering with cross-functional teams to ensure scalable and responsible AI delivery.
Lead a high-impact team of machine learning engineers to build and optimize retrieval systems for Reddit's personalized feeds. Define the technical vision, roadmap, and strategy while ensuring operational excellence and cross-functional collaboration.
The role involves owning and scaling strategic signal and data partnerships across the global ads ecosystem to improve signal quality and performance. You will lead partner management motions, influence product roadmaps, and operationalize go-to-market strategies with key partners like CDPs and tag managers.
You will lead design strategy for the Growth portfolio, turning complex user behavior into seamless engagement loops and actionable product roadmaps. You will act as a strategic partner to Product and Engineering, using data-driven insights to influence long-term product direction and high-visibility experiences.
Lead the technical design and delivery of complex frontend features for Ads Manager's creative and recommendation workflows. Collaborate with cross-functional teams to translate AI capabilities into intuitive, high-performance user interfaces.
Lead the product strategy and roadmap for Ads Trust & Safety, focusing on ad review, fraud prevention, and platform safeguards. Collaborate with cross-functional teams to balance advertiser success with user safety and regulatory compliance.
Architect and scale an AI-driven SOX compliance program to enhance accuracy and reduce manual overhead. Collaborate cross-functionally to test core business process controls and mitigate threats using agentic AI systems.
Design and implement optimization algorithms for auctions, bidding strategies, and pacing to balance advertiser performance and user experience. Own the end-to-end lifecycle of these systems from problem formulation and algorithm design to production deployment.
Lead the strategic direction of ads identity, measurement, and signal quality to improve advertiser experience and bidding efficiency. Design probabilistic models for identity resolution and develop rigorous statistical frameworks for brand and conversion lift products.
Lead the scientific strategy for Reddit's ads measurement and signal systems to prove advertiser value and improve signal quality. Architect technical visions for privacy-aware measurement, incrementality, and causal inference models at scale.
Lead the architectural overhaul of post and comment composers across web and mobile platforms to enhance content creation. Define the multi-year technical vision for contribution formats, focusing on video creation, editing, and client-side performance.
Evolve Reddit's cross-platform design system by building reusable components and improving UI architecture. Collaborate with cross-functional teams to enhance platform performance, accessibility, and the overall developer experience.
Design and build scalable backend systems, APIs, and AI-powered workflows to improve the developer experience for Reddit engineers. Collaborate cross-functionally to prototype solutions and lead high-impact projects that enhance developer velocity and service reliability.
Build and maintain the underlying infrastructure and new features for the developer platform, such as SQL database as a service. Contribute to the full development lifecycle, including technical design, code reviews, and team strategy planning.
Lead cross-functional technical programs within the Ads Monetization engineering space to drive business accomplishments. Establish repeatable processes and provide mentorship to improve organizational scale and efficiency.
Lead the end-to-end Ads platform, overseeing the Advertiser Platform, Campaign Management UI, API, and Business Suite. Define a 3-year strategic roadmap to transition the platform toward an agentic, ML-driven monetization engine.
Architect and develop a modular, high-performance iOS video player and media API to enhance Reddit's media experience. Partner with backend infrastructure and CDN teams to optimize global delivery and mentor other engineers on the team.
Define and drive the technical strategy for business identity, governance, and permissions systems within the Ads Business Manager team. Lead large cross-functional projects from concept to launch while mentoring engineers and aligning stakeholders.
Design and build scalable backend services for identity, authentication, and authorization to support millions of users. Act as a technical coach and mentor to drive high-leverage projects and align the IAM roadmap with company goals.
The role involves reviewing and threat modeling AI-powered product features and agentic workflows to ensure secure deployment. You will build reusable security primitives, guardrails, and tooling to prevent prompt injection, jailbreaks, and data leakage.
Develop and maintain large-scale data storage and caching infrastructure to support hundreds of millions of users. Partner with ML, AI, and Search teams to build scalable technical solutions while ensuring high availability and reliability.
Design and develop innovative, scalable API solutions to support Reddit's core platform and media experience. Provide technical coaching and mentorship to junior engineers while ensuring high system uptime and performance.
Design, deliver, and support the lifecycle of digital identities and authentication infrastructure across Reddit. Develop scalable IAM capabilities, API integrations, and monitoring frameworks to ensure secure and compliant access management.
Lead the technical architecture and strategy for Reddit's global media infrastructure, focusing on the ingestion, processing, and delivery of video and audio content. Drive the integration of AI for media recommendations and content moderation while mentoring multiple engineering teams.
Provide strategic financial leadership to the Engineering organization by driving resourcing planning and aligning business needs with the financial plan. Own the engineering P&Ls, cloud reporting KPIs, and lead strategic projects to optimize cloud hosting costs.
Collaborate cross-functionally to design and build novel products for the Reddit Pro and Youth Experience teams. Manage the full development cycle from technical design and experimentation to launch and mentoring other engineers.
Design and scale innovative API solutions and media platforms to support hundreds of millions of users. Provide technical coaching and mentorship to junior engineers while ensuring high system uptime and performance.
Design and scale innovative API solutions and media platforms to support millions of users and high transaction volumes. Provide technical coaching and mentorship to junior engineers while ensuring high system uptime and performance.
Design and scale innovative API solutions and services that handle hundreds of thousands of transactions per second. Act as a technical coach and mentor to junior engineers while optimizing Reddit's media experience for millions of users.
Develop and design innovative solutions to scale Reddit's Core API Platform and media experience. Act as a technical coach and mentor to junior engineers while ensuring high system uptime and performance.
Design and build scalable data infrastructure for large-scale feature and training set computation and storage. Develop frameworks for batch and real-time features while partnering with ML engineers to integrate workflows into production systems.
Design and build scalable data infrastructure for large-scale feature and training set computation and storage. Develop frameworks for batch and real-time features while partnering with ML engineers to integrate workflows into production systems.
Design and implement backend Ads products, including microservices, APIs, and real-time data intensive systems. Lead operational stability improvements and collaborate with product, platform, and data teams to execute project timelines.
Design and implement backend Ads products, including microservices, APIs, and distributed systems. Collaborate with product, platform, and data teams to improve operational stability and build extensible components.
Lead a team focused on making Ads ML model training and inference faster, cheaper, and more scalable. Partner with ranking and platform teams to identify bottlenecks and build reusable efficiency tooling and guardrails.
Act as a technical advisor and solutions architect to guide strategic partners through the integration of Reddit's advertising APIs. Design and prototype proof-of-concept solutions while collaborating with internal and external engineering teams to optimize platform performance.
Lead the development and implementation of critical frontend projects for Reddit's high-traffic feed pages. Collaborate cross-functionally with product and design teams to build novel features and mentor other engineers to improve technical standards.
Design and build systems to improve the efficiency of ML training and inference workloads while optimizing GPU and resource utilization. Lead cross-functional initiatives to drive technical strategy for ML platform scalability, reliability, and cost efficiency.
Design and build systems to improve the efficiency of ML training and inference workloads while optimizing GPU and resource utilization. Lead technical strategy for ML platform scalability and develop tooling for debugging and monitoring model performance.
Lead the strategy and architecture of large-scale recommendation systems for Reddit's notifications to improve user engagement and retention. Design and implement content discovery algorithms, integrate LLMs, and collaborate across engineering teams to deploy state-of-the-art ML models.
Design and implement scalable, high-performance ML ranking systems to power personalized feeds and search at Reddit scale. Collaborate with product and infrastructure teams to translate requirements into robust ML and Generative AI production systems.
Lead the development and execution of a proactive, AI-native SEO and Machine Translation strategy to grow top-of-funnel user acquisition. Partner with engineering and analytics teams to optimize site architecture, crawl efficiency, and LLM discoverability.
Define and execute the technical roadmap for engagement modeling to drive user interactions with ads and content. Lead, recruit, and mentor a high-performing team of ML engineers while collaborating with cross-functional partners.
The role involves owning and improving the Data Movement Platform to enable scalable batch and stream data processing. Responsibilities include building infrastructure for Spark, Flink, and Airflow while creating self-service automated solutions for data users.
Define the long-term strategy and roadmap for Reddit's Ads ML platform to accelerate engineering velocity and support modern ML architectures. Bridge the gap between complex ML systems and business outcomes by optimizing infrastructure for training, deployment, and inference.
Lead the technical strategy and backend architecture for Reddit's user onboarding experience, focusing on signal collection and personalization. Partner with cross-functional teams to implement growth-oriented experimentation and maintain high engineering standards for scalability and reliability.
Design and build large-scale end-to-end recommendation systems to power personalized notifications across various channels. Drive the technical vision for notifications relevance while mentoring senior engineers and collaborating with cross-functional leadership.
Lead the design and development of the web UI for the build and deployment platform to enable safe software shipping. Collaborate with engineers to create intuitive interfaces for complex infrastructure technologies and orchestrate deployment workflows.
Lead the Ads Advanced Signals team to scale APIs and tooling for inbound and outbound off-platform signals. Manage the team's roadmap, mentor engineers, and collaborate with cross-functional partners to drive advertiser outcomes and revenue.
Serve as the technical authority on experimentation methodology to solve complex causal inference problems involving network effects and spillovers. Influence product strategy by designing rigorous experimental frameworks and mentoring other data scientists on statistical rigor.
Serve as the technical authority on experimentation methodology to solve complex causal inference problems involving network effects and spillovers. Influence product strategy by designing rigorous experimental frameworks and mentoring other data scientists across the Consumer organization.
Act as a technical advisor and solutions architect to guide strategic partners through the integration of Reddit's advertising APIs. Design and prototype proof-of-concept solutions while collaborating with internal and external engineering teams to optimize performance.
Design, build, and scale backend services and frontend features for the notifications and email systems. Collaborate with cross-functional teams to deliver high-quality products through the full development cycle from design to launch.
Lead engineering teams in building AI-assisted workflows and platforms to enhance developer productivity across Reddit. Partner with cross-functional leaders to define the operating model for AI-native software development and implement measurable productivity systems.
Lead company-wide programs to improve the speed, reliability, and quality of Reddit's user experience across mobile and web platforms. Partner with engineering and product leaders to integrate performance as a durable part of the engineering culture and operational model.
Design and implement backend Ads products, including microservices, APIs, and distributed systems. Collaborate with product and data teams to improve operational stability and build extensible components.
Design and implement backend Ads products, including microservices, APIs, and data-intensive systems. Collaborate with product, platform, and data teams to improve operational stability and build extensible components.
Lead the strategy and technical execution of marketing intelligence to optimize B2B and B2C growth. Define the long-term technical roadmap for marketing measurement and quantify the incremental impact of spend using MMM and MTA systems.
Guide product strategy by identifying growth opportunities and conducting exploratory analyses to improve user attraction and retention. Design business health metrics and drive experimentation to maximize learning and guide investment decisions.
Lead the technical architecture and strategy for Reddit's global media infrastructure, focusing on the ingestion, processing, and delivery of video and audio content. Partner with cross-functional teams to optimize media pipelines and integrate AI for content understanding and recommendations.
Lead the strategy and technical execution of marketing intelligence to optimize B2B and B2C growth. Define long-term technical roadmaps and build measurement frameworks to quantify the incremental impact of marketing spend.
Lead the development of security-focused ML models to protect Reddit's GenAI traffic from risks like prompt injection and jailbreaking. Own the full ML lifecycle from problem definition and data ETL to production deployment and monitoring.
You will lead the design and delivery of secure frameworks, paved paths, and workflow-native controls to eliminate vulnerability classes. Additionally, you will drive product security reviews and shape security strategy for AI-assisted development and engineering workflows.
You will lead a team to build and scale reliable storage systems while driving high-leverage projects that align with Reddit's infrastructure goals. You will also mentor engineers and collaborate across the organization to evolve search capabilities and infrastructure.
You will design and build large-scale AI-driven search and recommendation systems to enhance user discovery and relevance. You will also collaborate across cross-functional teams to deploy ML models, integrate LLMs, and mentor senior engineering staff.
The Engineering Manager will define the team's vision and execute a technical roadmap for conversion modeling while leading a high-performing team of machine learning engineers. They will oversee the model development lifecycle from ideation to deployment and collaborate with cross-functional partners to align on engagement strategies and KPIs.
As a Senior Staff Software Engineer, you will define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy and architecture for generative AI products. You will also drive MLOps and LLMOps standards and partner across teams to align platform investments with company priorities.
The Staff Machine Learning Engineer will architect, build, and deploy large-scale ML systems across recommendations, search, messaging, and content understanding, leading high-impact initiatives from ideation through production and iteration. This role involves designing and improving ranking models, building next-gen AI-powered experiences including LLM-integrated systems, and establishing best practices for ML development and responsible AI.
The Staff ML Infrastructure Engineer will lead the development of a platform for large-scale ML models, designing end-to-end MLOps patterns for data preparation, model management, and experiment tracking. This role involves zero-to-one development of a graph ML codebase and platform, collaborating on performance tuning, and architecting pipelines for massive graph data structures.
The role involves leading the development of a platform for large-scale ML models, designing end-to-end model lifecycle patterns (MLOps) to increase ML engineer development velocity. This includes zero-to-one development of a graph ML codebase and optimizing model training efficiency in a distributed environment.
The Staff Data Scientist will take deep ownership of high-impact problem spaces within advertising, specializing in measurement, identity, and signal quality, influencing strategic direction and setting a high technical bar. Key tasks include developing identity resolution models, advancing lift methodologies and experimentation, maximizing signal value for predictive performance, and defining ground truth evaluation frameworks.
The Staff Data Scientist will take deep ownership of high-impact advertising problem spaces, specializing in measurement, identity, and signal quality to advance the intelligence powering the advertiser experience. Key duties include designing identity resolution models, advancing lift methodologies and experimentation, maximizing signal value for predictive performance, and defining ground truth evaluation frameworks.
The specialist will focus on gaining deep market understanding to identify user pain points and opportunities, while cultivating, recruiting, and growing a local community of volunteer moderators in the French market. They will also iterate and scale the consumer growth playbook based on insights derived from community relationships and experiments.
As a Staff Data Scientist, you will guide product strategy by identifying opportunities and conducting analyses. You will also drive experimentation and build self-serve tools for product and engineering partners.
Lead the Embeddings Platform Team to architect, implement, and maintain foundational ML embeddings. Drive high-impact projects that align with Reddit’s engineering and business goals.
