Reddit, Inc.

Full-stack Engineer

• Develop, scale and maintain Reddit’s core IAM internal identity capabilities, platforms and infrastructure. Design and deploy high-quality API integrations and custom enterprise IGA connectivity solutions.
• Build proactive monitoring frameworks, executive-friendly dashboards, and advanced alerting. Use synthetic transactions and anomaly detection to measure system availability (aiming for multiple 9s). Utilize identity data to track license utilization, aid in fiscal planning, and drive platform adoption.
• Create and maintain documentation, audit logs, and reports to continuously improve business processes and ensure seamless compliance execution.
• Troubleshoot complex production incidents, analyze failure conditions, and perform root-cause analysis to support a 24x7 operation.
• Guide global, cross-functional partners on IAM best practices while raising the engineering bar through code reviews, technical standards, and optimized workflows.

Staff Software Engineer, Identity & Access Management

• Develop and design new and innovative solutions to scaling Reddit
• Build platform API projects that scale to the rest of the organization
• Mentor and coach more junior engineers on your direct team to achieve our mission
• Build, deliver, and operate services that scale to hundreds of thousands of transactions per second at 5+ 9’s of availability
• Help us to optimize Reddit’s media experience for hundreds of millions of users across the world.

Senior Software Engineer, Core Platform

Backend Engineer

• Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
• Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Lead a team of thoughtful, fast-moving, and motivated engineers. Set and define standards that improve developer workflows, recommend best practices, and help coach and mentor engineers on the team to further their professional development.
• Continuously learn and improve your technical and non-technical abilities.

Staff Backend Engineer, Safety

Business Analyst

• Strategic Collaboration with Sales, Go-To-Market Strategy, Finance, Product, and Data Science to deliver analytics that shape Reddit’s revenue strategy.
• Build AI-ready data foundations: Develop and govern the semantic models and contextual business logic required to power both traditional dashboards and emerging AI-driven analytical tools, ensuring high-quality, trusted outputs across all consumption layers.
• Translate insights into action, guiding business partners through complex data findings to identify growth opportunities and optimize performance.
• Drive operational excellence, ensuring on-time delivery of insights, automation of recurring reporting, and continuous improvement of data models.
• Partner with the Data Science and Salesforce teams to manage & enhance the revenue data foundations, including ETL workflows, Salesforce-to-revenue mappings, and data pipelines in BigQuery.

Senior Business Analyst, Revenue Analytics

Systems Engineer

• Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.
• Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use.
• Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning
• Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems.
• Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management
• Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives.

Machine Learning Systems Engineer, Ads ML Platform

DevOps Engineer

• Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.
• Partner with engineering leadership to improve reliability, scalability, operational excellence, and engineering efficiency across the Ads organization.
• Drive architecture reviews and influence technical decisions impacting critical revenue-generating systems.
• Design and build platforms, tooling, and automation that improve reliability and developer productivity at scale.
• Participate in on-call rotations, lead complex incident investigations and coordinate cross-functional response efforts during major production events.
• Identify systemic reliability risks and drive long-term solutions that improve platform resilience.
• Establish reliability metrics around advertiser-critical user journeys such as campaign creation, ad delivery, auction participation, reporting, attribution, and billing.
• Mentor engineers and provide technical leadership across multiple teams.
• Influence roadmap planning and ensure reliability considerations are incorporated into product and infrastructure investments.

Staff SRE, Ads

Machine Learning Engineer

• Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience.
• Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team.
• Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process.
• Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization.
• Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges

Staff Machine Learning Engineer, Notifications Relevance

• Design and implement the next generation ML ranking system that powers the personalized feeds, search and other products at Reddit
• Design and develop ML and Generative AI systems in cloud-based production environments at scale
• Partner closely with Product, Infrastructure and Engineering teams and translate requirements into scalable ML systems
• Write efficient, scalable and maintainable code that will help us iterate quickly and safely
• Champion and drive engineering processes and best practices
• Raise the bar for engineering across the team through code reviews, mentorship and knowledge sharing

Senior Machine Learning Systems Engineer, Ranking Platform

Product Manager

• Own all product development for supporting, and improving our SEO efforts.
• Develop and implement a forward-looking SEO strategy to substantially grow top-of-funnel user acquisition
• Lead technical SEO initiatives spanning site architecture, internal linking, crawl efficiency, schema markup, index health & more
• Partner closely with Engineering, Analytics, and Category teams to embed SEO into platform development
• Create the ideal user flows to retain acquired users and explain to SEO users what Reddit is about
• Develop frameworks for optimizing structured data, content signals, and entity authority for LLM discoverability

Staff Product Manager, Growth

Engineering Manager

• Set Technical Vision and Strategy: Define and execute a roadmap for engagement modeling, balancing innovative modeling approaches with business objectives.
• Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.
• Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.
• Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.
• Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques.

Machine Learning Engineering Manager – Ads Engagement Modeling

Content Marketing Manager

• Design, write, and deliver software to improve the availability, scalability, latency, and efficiency of Reddit’s products in Go and sometimes Python
• Dive deep into the codebase of a suite of services owned by the team as well as one of Reddit’s monolith legacy stack
• Be able to make system level improvements, enhancements and implement complex code modifications.
• Own the design & evolution of our platform and build for the next 4+ years of continued scale and growth of Reddit
• Identify gaps in our current designs and lead redesigns of our platform to improve developer velocity and enable Reddit growth
• Work collaboratively with other software engineers from Infra and Product orgs
• Collaborate closely with engineering teams and stakeholders to integrate storage capabilities into broader storage infrastructure and use cases across Reddit.
• Mentor and guide other backend engineers across the company

Staff Software Engineer – Content Platform

• Refine and maintain our data infrastructure technologies to support ML and analytics workflows on data collected from hundreds of millions of users.
• Own the Data Movement Platform used to enable batch and stream data processing at Reddit.
• Invest in building new infrastructure for Spark, Flink, and Airflow technologies at Reddit, including contributing to the open source community as needed.
• Build automated solutions to minimize toilsome work for data users at Reddit and provide a declarative, self-service experience for working with data.
• Collaborate with teammates to share on-call responsibilities and support monitoring/alerting to improve the reliability, scalability, latency, and efficiency of Reddit’s Data Platform.

Staff Software Engineer, Identity & Access Management

Senior Software Engineer, Core Platform

Staff Backend Engineer, Safety

Senior Business Analyst, Revenue Analytics

Machine Learning Systems Engineer, Ads ML Platform

Machine Learning Systems Engineer, Ads ML Platform

Staff SRE, Ads

Staff SRE, Ads

Staff SRE, Ads

Staff Machine Learning Engineer, Notifications Relevance

Senior Machine Learning Systems Engineer, Ranking Platform

Staff Product Manager, Growth

Machine Learning Engineering Manager – Ads Engagement Modeling

Staff Software Engineer – Content Platform

Software Engineer – Data Movement Platform