Reddit, Inc.

Analytics Engineer

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Senior Analytics Engineer

DevOps Engineer

• Lead Reliability Engineering for User Experience
• Drive reliability, scalability, and operational excellence for critical user facing systems and services. Improve performance and resiliency across APIs, content delivery, feed generation, search, messaging, and real-time experiences.
• Partner with product and infrastructure engineering teams to design systems that remain highly available and performant under massive global load. Guide architectural decisions around failover, redundancy, graceful degradation, traffic management, and capacity planning.
• Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Build proactive mitigation strategies and drive engineering improvements that reduce incidents and improve service health.
• Eliminate repetitive operational work through automation and tooling. Build systems that improve deployment safety, incident response, remediation workflows, and reliability guardrails
• Lead complex incident response efforts across engineering teams. Drive blameless postmortems, identify root causes, and ensure sustainable long-term fixes are implemented.
• Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company.
• Provide technical leadership and mentorship to engineers across SRE and software engineering teams. Help shape reliability culture and raise the operational excellence bar across the organization.

Staff Site Reliability Engineer – Site Experience

Full-stack Engineer

• Designing, developing, and maintaining backend services that handle notifications and emails while ensuring the performance, security, and scalability of our systems.
• Designing, developing, and maintaining high quality, performant frontend features.
• Contributing to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be writing design docs and code, and get valuable feedback on your work.
• Working collaboratively with product managers, designers, data scientists and other engineers to deliver high-quality products.
• Contributing to the infrastructure that supports all of the above

Fullstack Software Engineer, Notifications Lifecycle

• Work cross-functionally across Reddit Engineering to understand developer needs, quickly prototype solutions, and iterate based on feedback.
• Design and build backend systems, APIs, infrastructure, and platform capabilities that improve developer workflows across Reddit.
• Build scalable and reliable systems across both AI-powered developer workflows and the core non-AI systems engineers rely on every day.
• Lead high-impact projects across Reddit’s developer tooling ecosystem by writing and reviewing code and design docs, aligning stakeholders, and making pragmatic technical tradeoffs.
• Build tools and integrations that connect developer workflows with Reddit’s existing infrastructure, CI/CD, security, source control, deployment, and operational systems.
• Design and implement maintainable APIs, services, libraries, and platforms that support internal developer tooling at scale.
• Improve the team’s tools, processes, and best practices while raising the bar for reliability, usability, scalability, and maintainability.
• Mentor engineers and help shape a roadmap that reflects real developer needs and delivers meaningful improvements to Reddit’s engineering organization.

Senior Software Engineer – DevX

Frontend Engineer

• Work cross-functionally across Reddit Engineering to understand developer needs, quickly prototype solutions, and iterate based on feedback.
• Own frontend development for internal developer tooling, from solution design and implementation through launch and long-term maintainability.
• Build scalable, maintainable interfaces across both AI-powered developer workflows and the core non-AI systems engineers rely on every day.
• Lead high-impact projects across Reddit’s developer tooling ecosystem by writing and reviewing code and design docs, aligning stakeholders, and making pragmatic technical tradeoffs.
• Improve the team’s tools, processes, and best practices while raising the bar for quality, usability, and maintainability.
• Mentor engineers and help shape a roadmap that reflects real developer needs and delivers meaningful improvements to Reddit’s engineering organization.

Senior Frontend Software Engineer – DevX

Engineering Manager

• Lead teams across Reddit's Developer Productivity and AI portfolio, spanning agent infrastructure, AI-assisted code review, developer environments, LLM governance, developer tooling, AI workflow measurement, and software delivery automation.
• Partner deeply with engineering teams as a technical leader, balancing execution, organizational alignment, technical quality, and long-term platform strategy.
• Lead and grow high-performing engineering teams focused on AI-native developer productivity.
• Define and evolve the operating model for AI-native software development.
• Drive alignment across infrastructure, developer experience, reliability, security, compliance, product engineering, machine learning, and executive stakeholders.
• Build engineering systems and organizational processes to help teams move from experimentation to durable adoption of AI-assisted workflows while maintaining quality, reliability, and operational safety.
• Develop communication and enablement mechanisms that bring engineers and leaders along for the journey.

Senior Engineering Manager, Developer Productivity

Technical Program Manager

• Own and drive programs across Reddit's Performance portfolio, spanning mobile and web performance, client reliability, critical user journeys, observability, experimentation guardrails, release quality, and long-term performance operating mechanisms.
• Partner deeply with engineering teams as a technical peer.
• Define and drive the operating model for sustained performance improvement.
• Drive the organizational change required for performance to become a durable part of Reddit’s engineering culture.
• Develop communication and enablement mechanisms that bring engineers and leaders along for the journey.
• Build measurement systems that distinguish real user experience improvement from shallow metric movement.
• Drive performance governance and adoption in a way that preserves team ownership.

Principal Technical Program Manager, Performance

Data Scientist

• Lead the measurement strategy for user safety by defining metrics, frameworks, and dashboards that quantify and monitor safety experiences across Reddit.
• Use data and science-backed methods to inform the strategic direction of Safety product development and to rigorously assess the impact of product launches and policy or enforcement changes.
• Design and execute experiments and quasi-experimental / inferential causal analyses (e.g., difference-in-differences, synthetic controls, matching) to estimate the impact and ROI of safety initiatives, and use these results for opportunity sizing and prioritization.
• Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to improve Reddit safety.
• Tactically support product development and go-to-market, from problem framing and exploratory analysis through to experimentation, launch evaluation, and post-launch monitoring.
• Stay current on advances in ML, LLMs, and related methods, and evaluate where they can meaningfully improve abuse detection, risk identification, and enforcement workflows.
• Translate complex analyses into clear narratives and recommendations for stakeholders, acting as a data storyteller who can influence decisions at all levels of the Safety and Moderation orgs.
• Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigating abuse, fostering a culture of rigor and curiosity.

Staff Data Scientist, Safety Insights

• Own and drive programs across Reddit's Developer Productivity and AI portfolio.
• Partner with Developer Productivity and Infrastructure leaders to translate strategy into executable programs.
• Define and drive the operating model for AI-native developer productivity.
• Create company-level alignment across teams with different incentives.
• Drive the social and cultural change for AI-assisted development to succeed company-wide.
• Develop communication and enablement mechanisms bringing engineers and leaders along for the journey.
• Build measurement systems distinguishing real productivity from vanity metrics.
• Drive AI governance and adoption ensuring security, cost management, privacy, compliance, and operational safety.

Principal Technical Program Manager, Developer Productivity

• Work collaboratively with a team of software engineers to create and maintain the foundational platform for Reddit's GraphQL infrastructure.
• Design, build, and deliver solutions to improve GraphQL's functionality, scalability, and efficiency.
• Investigate and tune the operation of our platform operating at massive scale.
• Contribute feedback to the technical and strategic direction of the GraphQL platform.
• Guide and support fellow engineers within the team as a mentor and leader.
• Share on-call responsibilities with the GraphQL team.

Senior Software Engineer, GraphQL

• Work with product managers to design and implement Ads products.
• Collaborate closely with the platform and data teams while building new features.
• Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations.
• Build extensible components that would align with the product objectives.
• Support day to day project management tasks including communicating project updates, managing project timelines and overseeing project execution.

Software Engineer, Ads

Director

• Set the vision and strategy for applying ML to Trust & Safety, ensuring scalable, proactive protection against evolving abuse patterns.
• Lead and grow a high-performing Safety ML organization, including applied research, model development, productionization, and continuous improvement.
• Develop and deploy cutting-edge Safety ML systems (including fine-tuned LLMs and transformer models) that outperform state-of-the-art solutions in quality, latency, and efficiency.
• Partner with Trust & Safety, Product, Moderation, and AI/ML Platform teams to identify safety risks, emerging harm vectors, and ML opportunities that improve detection, enforcement, and user experience.
• Drive successful experimentation, evaluation, and model lifecycle management, ensuring high precision, recall, explainability, and policy alignment.
• Champion ethical and responsible AI practices in all Safety ML solutions.
• Track performance through metrics, research-based iteration, and alignment with Reddit’s safety policies and regulatory standards.
• Represent Safety ML leadership internally and externally — including conferences, publications, industry groups, and cross-company collaboration initiatives.

Director of Safety, ML

• Architect for Scale: Lead the design and evolution of our global media processing and delivery infrastructure, ensuring low-latency, high-availability media for millions of users.
• Accelerate product roadmap: Closely partner with XFNs to identify product opportunities to increase media consumption at Reddit.
• Optimize Media Pipelines: Build and optimize resilient backend services for video/audio ingestion, distributed transcoding, and CDN routing.
• Drive AI Integration: Partner with ML/AI teams to build a roadmap that supports media recommendation, content understanding, and GenAI.
• Set the Standard: Establish engineering best practices, design the next generation of our media services, define strict SLOs/SLAs for our media operations.
• Mentorship & Leadership: Guide and empower multiple engineering teams. Translate complex product requirements into actionable technical roadmaps and drive alignment across the company.
• Leverage Modern Tooling: Thoughtfully utilize AI-assisted development tools to accelerate prototyping, system design, and coding, while applying rigorous judgment to validate and own the final outputs. Evangelize AI as a tool.

Staff Software Engineer, Media Experiences

• Work cross-functionally, collaborate and partner 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.
• Participate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, recommend best practices, and help mentor engineers on the team to grow their technical expertise.
• Contribute to strategic planning and decision-making processes for backend development.
• Move fast while balancing quality. We can’t afford extensive processes, and we also can’t afford show-stopping bugs. We need someone who can balance speed with quality while quickly building brand-new products.

Senior Software Engineer – Publishers

Software Engineer

• Lead and grow a high-performing organization of engineering managers and engineers focused on Ads Measurement infrastructure and products
• Define and execute the technical roadmap for key measurement capabilities including conversion ingestion, attribution, signal quality, lift measurement, and downstream ML signal delivery
• Drive engineering execution across scalability, reliability, latency, and data quality requirements for critical measurement systems
• Partner closely with Product, Data Science, ML Engineering, Product Marketing, and Business Development to align technical investments with advertiser and business priorities
• Improve the quality, usability, and trustworthiness of measurement signals used across reporting, optimization, and ads delivery systems
• Establish strong engineering practices around system design, operational excellence, experimentation, and long-term platform maintainability
• Identify architectural gaps, technical risks, and scaling bottlenecks, and drive solutions across organizational boundaries
• Hire, mentor, and develop engineering leaders and senior engineers while fostering a culture of technical rigor, accountability, and execution velocity
• Stay current with industry trends in ads measurement, attribution, and signal resilience in a rapidly evolving ecosystem