Reddit, Inc.

Product Designer

• Drive Global UX Strategy: Define and evangelize a North Star vision for the PDP and content formats that aligns with Reddit's five-year company goals. You will influence executive leadership to align product roadmaps with this vision.
• Architect Extensible Systems: Design and oversee company-wide UX frameworks. You will create the 'slots, triggers, and rules' that allow the entire organization to deliver features into the PDP ecosystem while maintaining a world-class bar for performance (TTI) and visual cohesion.
• Master of Retention: Forecast and solve for long-term user retention challenges. You will lead initiatives that fundamentally shift DAU metrics across the W0 to Day 90 windows, using deep behavioral data and experimental frameworks to prove ROI.
• Executive-Level Influence: Act as a strategic partner to Sr. Director and VP-level stakeholders in Product and Engineering. You will navigate high-stakes trade-offs between experience quality, business value, and technical feasibility across the entire company.
• Pioneer Industry Standards: Set the benchmark for design excellence. Your work will not only serve Reddit but will impact industry standards for content consumption, accessibility, and high-scale modular UI.
• Force Multiplier & Mentor: Proactively identify and resolve systemic UX challenges that cross team boundaries. You will mentor senior and staff-level designers, elevating the craft and strategic thinking of the entire Design organization.

Principal Product Designer, Formats & Contributions

Account Manager

• Lead Bespoke Negotiations: Act as the lead negotiator for partnerships with Agency HoldCo data platforms, Measurement Partners (MMPs), and E-commerce platforms
• Hybrid Product Counseling: Provide end-to-end legal guidance on the engineering and product work required for 3P integrations. This includes advising on new workstreams, catalog synchronization, and revenue-share mechanics
• Data & Privacy Governance: Ensure all integrations comply with evolving global privacy laws (GDPR, ePrivacy, U.S. State Laws) and protect Reddit’s valuable proprietary ads data from misuse
• Emerging Tech Strategy: Strong working knowledge of 'next-gen' ads solutions, including Data Clean Rooms (e.g., Snowflake), Multi-Touch Attribution (MTA), and AI-driven brand safety tools (e.g., Zefr)
• Risk Mitigation: Respond to and anticipate regulatory shifts affecting ads privacy and data sharing, ensuring Reddit remains a privacy-forward leader in the ad-tech space

Senior Counsel, Ads Product – Commercial Partnerships

Product Manager

• Product Ownership: Lead product development initiatives that support and optimize Reddit’s paid user acquisition efforts.
• Roadmap Strategy: Define the UA roadmap, balancing long-term strategic investments with continuous optimization.
• Tech Stack Development: Architect robust tools and systems to build a state-of-the-art acquisition technology stack, providing visibility into performance and identifying areas for improvement.
• User Experience: Design seamless user flows to retain acquired users and clearly communicate Reddit’s unique value proposition.
• Cross-Functional Collaboration: Partner with Design, Data Science, and Engineering to build automated solutions that scale the marketing team’s ability to attract high-quality users.
• Data Integrity: Ensure attribution models, paid user funnels, and incrementality metrics are fully understood, monitored, and integrated into the decision-making process.

Staff Product Manager, Paid User Acquisition

Operations

• Lead the strategic investigative roadmap by prioritizing the detection of emerging and systemic threats and ensuring the team surfaces novel safety problems for documentation and study.
• Transform complex safety issues into data-driven narratives that enable cross-functional partners in Policy, Product, and Engineering to make informed and timely decisions.
• Establish proactive processes and performance metrics to shift the organization away from reactive responses and provide partners with the necessary time to address threats.
• Direct scaled enforcement programs and operational strategies by partnering with Data teams to improve safety tooling and ensure policy intent is accurately translated into action.
• Manage high-pressure escalations and rapid response frameworks using deep policy expertise to mitigate immediate harm and guide the product lifecycle from development to deployment.
• Mentor a high-performing team of analysts while acting as a strategic partner to executive leadership to ensure threat insights are integrated into long-term safety planning.

Manager, Threat Detection – Enforcement Operations

Financial Planning and Analysis

• Responsible for budgeting, forecasting, reporting, variance analysis, and ad-hoc analysis for various areas in the company
• Develop flexible financial models and workforce forecasts to analyze headcount growth, incremental hiring needs, and talent acquisition capacity against peer benchmarks and long-term business goals
• Provide management with clear insights into drivers of business growth, risks, and opportunities. Play a key role in providing the valuable insights that can translate into business recommendations
• Key partner to the business to develop strategies, build insightful forecasting and reporting and drive impactful insights for key leaders. This includes strategic partnership, financial presentations, measuring key metrics for operational performance, and other projects as requested for optimal decision making within an extremely high growth and fast-paced environment
• Develop and streamline FP&A processes, focused on adding value and allowing us to scale partnership with the business, including planning and forecasting processes, standardizing and automating reporting, improving how we leverage internal systems, and building operational and forecast models
• Work cross-functionally day-to-day with Finance, Accounting, and Human Resources teams in budget management/tracking and evaluating progress against key initiatives, with a keen eye towards process improvement
• Partner with cross functional team members to drive strategic resource allocation
• Regularly work in a highly visible, cross-functional role with the business and executive leadership

Field FP&A Manager

Revenue Operations

• Strategic Collaboration with Sales, Go-To-Market Strategy, Finance, Product, and Analytics Engineering to deliver analytics that shape Reddit’s revenue strategy.
• Build and scale dashboards and data pipelines provide actionable insights for sales leadership and sellers.
• Ensure data accuracy and consistency across core datasets powering dashboards, KPIs, and financial reporting.
• Drive operational excellence, ensuring on-time delivery of insights, automation of recurring reporting, and continuous improvement of data models.
• Translate insights into action, guiding business partners through complex data findings to identify growth opportunities and optimize performance.
• 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 Strategy & Analytics

Senior Business Analyst, Revenue Strategy – Analytics

Engineer

• Act as a trusted technical advisor and solutions architect for strategic partners (or direct advertisers), guiding them through the integration and adoption of Reddit’s advertising APIs and tools.
• Design and prototype proof-of-concept solutions that accelerate technical enablement and create tangible value for partners (or direct advertisers). These builds may occur in Reddit’s systems or directly within the client’s or partner’s codebase.
• Collaborate directly with engineering teams at partner (or direct advertiser) organizations to optimize performance, address integration gaps, and troubleshoot complex issues.Lead onboarding, testing, and pre-launch support to ensure a smooth and successful implementation experience.
• Represent the technical voice of the partner (or direct advertiser) internally, surfacing feedback and influencing product and platform priorities to improve outcomes for both sides.
• Support escalations for complex or high-impact integrations and provide clear, actionable direction to resolve blockers quickly and sustainably.

Senior Business Engineer – Ads

Payroll

• Effectively lead, mentor, and coach the payroll team to ensure their continuous development and operational excellence, building a world-class payroll function.
• Conduct comprehensive review and audit of global payroll processes, leveraging systems like Workday and ActivPayroll to ensure accuracy, compliance, and proper funds reconciliation across all regions.
• Manage global equity (RSUs, Options, Performance-based grants) processing in all regions.
• Champion system and process improvements within Workday and other platforms, partnering closely with People Operations and other teams to ensure full system utilization, establish best practices, and drive efficiency gains and business continuity.
• Actively identify, evaluate, and implement new payroll technologies, including AI and advanced automation use cases, to enhance accuracy, compliance, and scalability of global payroll operations.
• Provide guidance in managing US third-party fulfillment vendor to ensure tax compliance and funds reconciliation.
• Execute special projects cross-functionally that support the growth of the business, such as Workday enhancements, system integrations, international growth, and M&A.
• Develop and maintain global payroll policies, processes, procedures, and related internal controls to ensure compliance, maximum efficiency, and standardization for continuity.
• Ensure global regulatory filings are completed timely and accurately; support and coordinate audits such as worker compensation, 401K, and annual financial audit, as necessary.

Senior Payroll Manager

Data Scientist

• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
• Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
• Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
• Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
• Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

Staff Data Scientist, Ads

• Lead Through Ambiguity by taking vague problems and transforming them into clear project scopes and design strategies.
• Deploy coding tools like Cursor or similar environments to build high-fidelity, functional prototypes that feel real and use real data.
• Act as a strategic partner to cross-functional partners and leaders within Product and Engineering. Acting as a co-architect of the product roadmap, not a service provider.
• Confidently present multiple design directions (providing high optionality) to senior leadership, defending your decisions with a mix of data-driven insights and design intuition.
• Maintain a high bar for visual and interaction design. Your work should serve as a benchmark for the broader design org. You should be comfortable with proposing new components for the design systems team that scale for Growth and the rest of Reddit.

Senior Product Designer, Growth

Machine Learning Engineer

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
• Contribute to technical strategy, architecture, and long-term ML roadmap

Accountant

• Prepare journal entries, balance sheet reconciliations, and monthly close deliverables
• Prepare monthly flux analysis for management review
• Prepare audit support for external and internal audits
• Own accounting and process documentation for areas of responsibility
• Assist in developing and maintaining SOX compliant accounting policies and procedures in areas of responsibility
• Establish effective relationships and work cross-functionally across the organization
• Drive process improvements and efficiencies for areas of responsibility
• Assist in any revenue accounting-related system implementations
• Participate in special projects, analysis, and reporting as required by management

Staff Revenue Accountant

• Lead and oversee the strategy development, quarterly planning and day-to-day execution of initiatives related to ads marketplace, auction and pricing.
• Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads marketplace, auction and pricing.
• Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment—that optimizes the ads marketplace efficiency.
• Be a mentor, lead both junior and senior engineers in implementing technical designs and reviews. Fostering a culture of innovation, technical excellence, and knowledge sharing across the organization.
• Be a cross-functional advocate for the team, collaborate with cross-functional teams (e.g., product management, data science, PMM, Sales etc.) to innovate and build products.

Staff Machine Learning Engineer, Ads Auction – Ads Marketplace Quality

• Serve as the strategic owner of Reddit’s global real estate portfolio operations, overseeing lease lifecycle management, portfolio planning, and governance across all office locations.
• Develop and execute portfolio strategies aligned to workforce planning, hybrid work models, and long-term business growth helping identify opportunities for consolidation, expansion, and cost optimization across regions.
• Lead end-to-end lease administration, including renewals, expirations, options, lease abstracts, CAM reconciliations, landlord compliance, and critical date management.
• Build and maintain financial models to support renewals, exits, restructures, and new market entry; develop forecasts, variance analyses, and long-range portfolio plans to inform executive decision-making.
• Partner cross-functionally with Finance, HR, Workplace, Procurement, Legal, and external brokers to drive successful transactions, ensure alignment with business priorities, and support scenario planning and headcount modeling.
• Leverage workplace analytics and utilization data to inform portfolio decisions, space planning assumptions, and operational strategy.
• Maintain accurate, real-time portfolio data across lease administration systems; establish portfolio management standards, reporting dashboards, and executive-ready insights.
• Drive process improvements, operational rigor, and automation initiatives across the GRE function; manage third-party lease administration and portfolio vendors as needed.