Reddit, Inc.

Machine Learning Engineer

• Own end-to-end design and execution of ML-based targeting products like auto targeting, user lookalikes etc.
• Drive research direction and technical roadmap for complex projects, lead day to day project execution, and contribute meaningfully to team vision and strategy
• Be a thought leader for the team and collaborate closely with product managers and cross-functional partners to develop and prioritize the roadmap based on data analysis, industry research and product research
• Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models, LLMs) with a focus on improving advertiser outcomes
• Provide mentorship to junior MLEs
• Own offline & online experimentation of ML models for improving targeting products
• Work on large scale data systems, and product integration
• Collaborate closely with multiple stakeholders cross product, engineering, research and marketing

Senior Staff Machine Learning Engineer, Ads Targeting and Retrieval

• Lead the Company’s tax planning strategy and execution
• Own the global tax forecasting process and collaborate with Finance partners to model tax impact of business trends and legislative changes
• Drive efforts to maximize tax incentives and mitigate risk
• Oversee global tax due diligence for M&A transactions and partner with Corporate Development team to model deal structures and manage post-acquisition integration
• Review and negotiate commercial agreements for tax terms and indemnifications
• Assist the provision team with preparation of quarterly and annual income tax provisions
• Design and implement tax process improvements/tax automation
• Monitor global tax legislative developments and research tax laws and policies to evaluate their tax impact
• Collaborate with business partners on ad hoc projects and provide guidance on tax related matters

Senior Tax Planning Manager

General Counsel

• Oversee and manage a wide range of employment and general litigation matters.
• Assist in fact finding and internal reviews of potential claims.
• Respond to third-party subpoenas and similar requests, pre-litigation demand letters and administrative charges (EEOC/CRD).
• Serve as a strategic, proactive, and pragmatic legal partner and collaborator to our internal stakeholders.
• Advise on and direct employment legal matters, including those relating to employee relations, recruitment, wage/hour, terminations, reductions in force, leaves of absence, privacy, mobility, compensation, benefits, international expansion, M&A, executive compensation, and contingent workforce.
• Prepare, review, and advise on employment agreements and policies.
• Conduct internal investigations, worker classification assessments, and other employment-related audits.
• Drive innovation by providing legal review and advice regarding the e-Discovery process, AI utilization, and the evaluation of outside counsel performance and spend.
• Actively monitor evolving laws and regulations affecting substantive legal areas and provide strategic advice to internal stakeholders.

Senior Counsel, Employment & Litigation

• Manage and respond to regulatory requests from around the world about how Reddit’s products work.
• Manage government and regulator discussions, negotiations, and disclosures on compliance readiness efforts.
• Review proposed and new regulations to analyze potential business impact and/or advocate for changes in the law.
• Provide advice and counsel to ensure Reddit meets its legal obligations and legal requirements under US, EU, and other applicable legal frameworks.
• Be a lead legal subject matter expert on areas of online platform regulation, ensuring consistency in counseling across the legal team, in line with Reddit’s user-centric approach.
• Serve as a strategic, proactive, and pragmatic legal partner to help product and business teams anticipate and plan for future regulatory risks and requirements.

Counsel, Regulatory Affairs

Research Engineer

• Architect and validate rigorous Continual Pre-Training (CPT) frameworks, focusing on domain adaptation techniques that effectively transfer Reddit’s knowledge into licensed frontier models.
• Design the "Science of Multimodality": Lead research into fusing vision and language encoders to process Reddit’s rich media (images, video) alongside conversational text threads.
• Formulate data curriculum strategies: scientifically determining the optimal ratio of "Reddit data" vs. "General data" to maximize community understanding while maintaining safety and reasoning capabilities.
• Conduct deep-dive research into Scaling Laws for Graph-based data: investigating how Reddit’s tree-structured conversations impact model convergence compared to flat text.
• Design and scale continuous evaluation pipelines (the "Reddit Gym") that monitor model reasoning and safety capabilities in real-time, enabling dynamic adjustments to training recipes.
• Drive high-stakes architectural decisions regarding compute allocation, distributed training strategies (3D parallelism), and checkpointing mechanisms on AWS Trainium/Nova clusters.
• Serve as a force multiplier for the engineering team by setting coding standards, conducting high-level design reviews, and mentoring senior engineers on distributed systems and ML fundamentals.

Staff Research Engineer, Pre-training Science

Backend Engineer

• Build and operate a high-caliber, inclusive team of engineers.
• Work cross-functionally, collaborate and partner with product, design, and other engineering counterparts to build novel products and features that our users will love.
• Work alongside 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.
• Participate in the full development cycle: design, development, test, experimentation, analysis, and launch. You’ll be writing and reviewing code and design docs, giving feedback on product specs and mocks, and ensuring successful delivery of key projects.
• You will be a key driver in the planning, development, and implementation across Reddit’s backend service architecture in service of our native mobile and web clients as part of a full stack team.
• Enable a culture of metrics led execution, with a focus on operational excellence and system observability.

Backend Engineer, Feeds Experience

Communications

• Support execution of external communications strategy, including media relations and content development
• Identify target journalists and secure media coverage
• Manage requests for Reddit spokespeople
• Assist in developing communication plans
• Lead application process for industry awards
• Manage communication projects and timelines
• Lead media reporting processes and analyze coverage for strategic insights
• Organize internal communications initiatives

Senior Communications Associate

Full-stack Engineer

• Design, build, and operate high-scale, low-latency systems that protect Reddit from DDoS attacks, bots, and automated abuse.
• Analyze, develop and evolve ingress-level defenses across CDN, edge, and internal infrastructure layers.
• Build systems to detect, score, and mitigate malicious traffic in real time at per-request and per-user granularity
• Partner closely within Infrastructure and with Security, and internal Safety teams to balance security, performance, and user experience
• Mentor junior engineers in their professional growth.
• Contribute to the team’s ML-at-Ingress initiatives, including experimenting with models for traffic classification, bot detection, and anomaly detection
• Own services end-to-end, including design, implementation, on-call, and operational excellence
• Participate in incident response and post-incident analysis for large-scale network or abuse events

Senior Software Engineer, Site Defense

Community Manager

• Serve as the dedicated data partner for the Community Growth and Marketing teams. Translate vague business questions into structured analytical projects.
• Build and maintain automated dashboards that track the lifecycle of a community from subreddit creation and early adoption to maturity and "thriving" status.
• Conduct deep-dive analyses to identify patterns in moderation, contribution, and engagement that correlate with long-term community health.
• Partner with Data Science to ensure community metrics are aligned with company-wide North Star metrics. Deliver regular reports to leadership that quantify the impact of community initiatives.
• Work with Community Lifecycle teams to design, track, and analyze the results of community-facing experiments, ensuring we are learning quickly and scaling what works.

Community Growth Analyst

Solutions Engineer

• Own the long-term roadmap for our community tech stack. Ensure all tools (CRM, third-party platforms, automation layers) are integrated, scalable, and evolving ahead of our operational needs.
• Act as the primary architect for our community CRM. You will be responsible for ensuring data integrity, building custom objects, and creating seamless hand-offs between Community and Success teams. Your goal is to drive 100% adoption for primary relationship-management use cases.
• Lead the selection, vendor management, and rollout of new tools. You will design end-to-end workflows that bridge the gap between community engagement and business data, ensuring high adoption and minimal technical debt.
• Partner with the Community team to define how we measure health, tiers, and growth. You will support and build the data pipelines and dashboards that demonstrate the ROI of our programs to executive leadership.
• Navigate a complex stakeholder environment (CorpEng, Privacy, IT) to ensure all community tools meet Reddit’s high standards for security and user trust.

Community Solutions Architect

Analytics Engineer

• Be the Analytics Engineering lead within the Sales and Marketing organization and a key contributor to the success of Data Science data quality, performance, and automation initiatives.
• Be the data steward for Sales and Marketing: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for business tracking, advertiser outreach and acquisition, marketing campaigns, and other data-driven activities.
• Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines.
• Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability.
• Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service.
• Provide technical guidance, mentorship, coaching and/or training to data scientists and other technical partners.
• Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.

Senior Analytics Engineer

Marketing Operations

• Manage our HubSpot instance, execute marketing campaigns, optimize lead flows, and provide guidance (and implementation) on marketing automation best practices.
• Partner closely with the Community Lifecycle Marketing team to grow and scale the email channel.
• Partner with Data Analytics for best in class contact ingestion and hygiene.
• Provide strategic input on email and marketing automation best practices, including segmentation, send timing, testing, and deliverability.
• Track milestones, manage dependencies, and ensure on-time delivery.
• Own the health and structure of the contact database to support effective targeting, email performance and deliverability.
• Ensure CRM and marketing data integrity, system hygiene, and compliance with privacy regulations (GDPR,CAN-SPAM).
• Manage HubSpot user permissions, troubleshoot issues, and support internal stakeholders with platform guidance as needed.
• Building and managing dashboards, layouts, reports, process automation, and other configurable parts of the interface for end-users, and other capabilities including: Flows and Process, Workflow Rules & Approval Processes, Validation Rules, Custom Objects Configuration, Security Controls, Third-party integrations.
• Set and monitor KPIs and report on campaign development, timelines, and results using HubSpot reports/ dashboards.
• Remain current on HubSpot's product features, updates, and new capabilities.
• Build, test, and launch email marketing workflows and nurture programs in HubSpot.

Marketing Operations Specialist – Contract

Product Designer

• Define the design roadmap for the Ads Platform, ensuring that individual features roll up into a cohesive, non-fragmented ecosystem for advertisers.
• Architect the foundational design patterns and logic-heavy workflows (e.g., campaign builders, reporting dashboards) that other designers in the Ads org will leverage to ensure consistency and speed.
• Act as the primary design bridge to Engineering and Product for highly technical initiatives, such as AI-driven automation and API-led workflows, translating complex backend constraints into elegant user mental models.
• Lead by example in the craft, setting the quality bar through high-fidelity prototyping and systems thinking. Conduct rigorous design reviews that uplevel the output of Senior and Mid-level designers.
• Drive alignment across Product, Engineering, and Sales pods by synthesizing competing requirements into a single, unified design direction.
• Invest deeply in the growth of the Ads Design team by providing actionable feedback on craft, strategy, and professional development, fostering a culture of high performance and psychological safety.
• Partner with UX Research to transform raw advertiser data and market trends into actionable design principles that de-risk the product roadmap.

Staff Product Designer, Ads Platform

• Own & Execute Scaled Tooling Community Growth Roadmap: Lead the design and execution of the Community Growth Funnel roadmap, identifying the necessary technical infrastructure, data signals, and automated workflows to unlock community health and growth.
• Build Scaled Channel Operations: Partner closely with Product, Engineering, and Data Science teams to build the technical foundation of diversified channels. This includes making channel requests and building technical roadmaps.
• Signal Optimization: Work closely with Data Science to refine community health signals, pinpoint opportunities, and eliminate gaps in the community's journey.
• Drive Channel Strategy: Define and drive comprehensive strategic vision for email, push notifications, and app channels aligned with Reddit’s community growth goals and targets
• Serve as the owner and admin of our Community HubSpot tooling, overseeing data piping, workflow strategies, and campaign health, and more
• Partner with Analytics, Community, IT, and product to optimize all community marketing tools and systems - internal and external
• Own technical side contact management, including list health, data cleanliness, list imports, and form embeds
• Evaluate tooling agency partners, and source potential partners
• Map the entire internal and external channel slate, identifying largest opportunities
• Build and own the roadmap for tooling improvements across third-party and internal tooling
• Ensure seamless coordination across multiple stakeholders on infrastructure projects, with no major disruptions
• Own multi-channel content calendar across community initiatives
• Manage the tooling and infrastructure needed to support community marketing campaigns, from setup to post-launch
• Work closely with channel marketers to support in meeting campaign objectives

Marketing Operations Lead, Community Lifecycle

Product Manager

• Deliver improvements to our identity system that quickly and significantly improve our ability to link events to people
• Define and prioritize the product roadmap and collaborate with other ads product managers across the organization to set long-term strategy
• Develop an expert-level understanding of the ads identity ecosystem through self-learning, data exploration, and market research
• Create metrics and goals, in collaboration with data science, to incentivize models and the entire team to deliver maximum value
• Partner closely with Data Science, Engineering, Legal, and Privacy teams that deliver sustainable system improvements