Reddit, Inc.

Account Manager

• Collaborate closely with Client Partners to meet and exceed clients’ marketing goals.
• Proactively manage and deepen relationships with existing advertising partners, both with agencies and directly with the largest and most complex clients of Reddit to drive year-on-year revenue growth.
• Lead and execute campaign launches from start to finish and deliver insightful optimizations to agency and client partners
• Identify, strategize, and win incremental revenue opportunities of existing advertiser base to grow in-quarter revenue growth.
• Ongoing management of internal account operations (revenue delivery and troubleshooting issues)
• Educate brands and media agencies, effectively communicate value proposition and best practices
• Consult clients on their awareness and direct response objectives, and partner closely with Client Partners to craft thoughtful and creative media plans
• Collaborate with Ad Ops to ensure effective campaign delivery and resolve any technical hurdles
• Proactively seek and represent client needs and asks to cross-functional stakeholders
• Shape Reddit’s native ads product roadmap, for mobile and in general, by aggregating and sharing client feedback and campaign metrics with cross-functional stakeholders
• Proactively and continually identify areas of improvement
• Mentor and train other team members.

Client Account Manager, Large Customer Sales

Attorney

• Lead a team of ads lawyers supporting Reddit’s Ads Product, Ads Engineering, and Monetization org.
• Act as a player-coach, directly counseling and providing strategic advice to business leadership and Reddit's C-Suite on ads product initiatives.
• Advise Reddit’s Ads Policy teams on scaling across emerging verticals and global markets.
• Develop and drive a coherent legal strategy and risk framework for ads products globally.
• Help drive allocation and prioritization of engineering resources for legal initiatives as we enter or expand into new markets.
• Build scalable internal systems and processes to accelerate Reddit’s launch velocity.
• Design scalable external mechanisms that support product velocity and reduce one-off negotiations.

Director, Ads Product Legal

Machine Learning Engineer

• Deliver on technical initiatives that have significant company-wide impact
• Set technical direction for the broader Relevance and Feeds teams at Reddit, able to identify opportunities and influence strategy across multiple orgs
• Work with management on goal setting, planning, and de-risking critical projects
• Mentor and grow Senior and Staff engineers
• Create a strong healthy engineering culture

Senior Staff Machine Learning Engineer, Feed Relevance

Full-stack Engineer

• Design and deliver software solutions in Go to improve the availability, scalability, and latency of Reddit’s compute infrastructure.
• Develop Kubernetes controllers and operators to automate cluster management, workload scheduling, and the reconciliation of complex system states.
• Build core tooling and SDKs that codify network configurations, managed services, and compute capacity tracking across a multi-region fleet.
• Optimize intra-cluster performance by developing reactive schedulers and detecting node-level characteristics to inform availability.
• Collaborate across the organization to provide technical feedback and automate critical development workflows and infrastructure operations.
• Participate in an on-call rotation (approximately one week every 8-9 weeks) to ensure the stability of our global scale systems.

Senior Software Engineer, Compute Platform

• Foster and Guide the Technical Strategy for Growth
• Partner With the EM to Cultivate a Growth Engineering Mindset
• Scale Impact Through Collaborative Engineering
• Instrument, Measure, and Iterate
• Guide Cross-Functional Alignment
• Raise the Bar on Engineering Excellence

Staff Software Engineer, Community Builders

Product Manager

• Hire, mentor, and develop a world-class team of Product Managers, fostering a culture of excellence and innovation.
• Define and champion the long-term product vision for advertising products; translate complex advertiser needs into a cohesive, high-impact roadmap.
• Collaborate seamlessly with Engineering, Data Science, Design, Sales, and Marketing to launch products that drive measurable advertiser success.
• Own key performance indicators (KPIs) and drive the end-to-end execution of features within the product suite.
• Craft compelling product narratives and present strategic updates to diverse stakeholders, including the executive leadership team.
• Stay at the forefront of ad tech evolution, identifying emerging opportunities to keep Reddit Ads ahead of the curve.

Senior Group Product Manager, Advertiser Optimization – Ads Marketplace

Data Scientist

• Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. Establish the "North Star" metrics and frameworks that determine how Reddit allocates hundreds of millions in marketing budget.
• Optimize Marketing ROI: Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically quantify the incremental impact of marketing spend.
• Bridge B2B & B2C Growth: Design unified frameworks to optimize marketing aimed at both new advertisers (driving revenue) and new users (driving engagement), identifying synergies where brand awareness for one fuels growth for the other.
• Advance Causal Inference & Experimentation: Lead the design of complex "always-on" incrementality testing and geo-holdout experiments. Develop methodologies to measure the long-term "halo effect" of brand marketing on organic growth.
• Lead Through Influence: Collaborate deeply with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts.
• Be the Technical Guide for the Team: Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization.

Staff Data Scientist, Marketing

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

FP&A Manager

• 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.
• Continuously learn and improve your technical and non-technical abilities.

iOS Software Engineer

Security Engineer

• Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals.
• Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback.
• Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit.
• Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic.
• Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces.
• Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops.
• Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows.
• Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving.
• Translate security goals into measurable model outcomes and help partners understand tradeoffs between risk reduction, latency, false positives, and product impact.
• Provide technical direction to other engineers and serve as a go-to ML expert for GenAI Security and broader SPACE model needs.

Senior Machine Learning Engineer, GenAI Security

• Lead the end-to-end design, implementation, and maintenance of a highly available, low-latency GPU-based model serving system for search, ranking, and LLMs supporting Millions of QPS.
• Design and develop ML and Generative AI systems in cloud-based production environments on Kubernetes at scale.
• Rapidly develop prototypes and develop a high-performance feature hydration and processing system as a part of the inference stack - including routing, caching, and batching.
• Lead a unified GPU model export framework to support converting trained models into optimized GPU inference models.
• Strong understanding of real-time ML observability to track feature/model performance.
• Experience working with LLM serving online at scale.
• Built an E2E inference performance benchmarking framework
• Deep Understanding of multi-cluster compute environment and network topology that is specific to ML inference use cases.

Staff Machine Learning Engineer, AI Serving

• Lead the technical strategy and architecture for our company’s ads identity modeling solutions and other related ads measurement models
• Design and train advanced ML models while ensuring accuracy, scalability, and compliance with privacy requirements, managing trade-offs between complexity, latency, and prediction quality
• Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment—optimizing for performance and cost
• Partner with cross-functional teams (e.g., product management, data science, platform engineering, privacy, legal) to define the roadmap and set long-term goals
• Establish engineering best practices, code quality standards, and data governance guidelines to ensure maintainability and trustworthiness of the identity graph
• Mentor and coach junior engineers, fostering a culture of innovation, technical excellence, and knowledge sharing across the organization.

Staff Machine Learning Engineer, Ads Measurement Modeling

Content Marketing Manager

• Craft clear, concise, and consistent user interface copy that makes it easy and enjoyable for Reddit users to accomplish tasks and reach their goals.
• Work with Reddit’s Design Systems team to create content patterns, guidelines, and tooling that scales Content Design’s impact across the organization.
• Advocate for design and content that “Remembers the human” and improves the Reddit experience for our users and communities.
• Share innovative ideas that will significantly improve user experience; using fresh thinking to solve problems and improve processes.

Senior Content Designer

• Own the architecture of Reddit’s iOS Mobile App and make it scale to the next 100M+ DAUs. Propose ideas/solutions to reach our vision of “making Reddit’s Mobile Apps best-in-class.”
• Identify the gaps in our current iOS App Architecture, and lead redesign of the iOS platform to improve modularity, performance, and quality.
• Define, measure, and execute on key user-facing performance goals, specifically minimizing App Not Responding (ANR) rate, reducing app launch time (Time to Interactive/TTFF), and eliminating slow/dropped frames.
• Improve observability and harden data quality for all key performance areas, including establishing reliable telemetry, monitoring, and guardrails for ANR rate, app launch time, and slow/dropped frames.
• Drive a company-wide culture of performance, ensuring that every iOS engineer at Reddit has the tools and skills needed to own the performance of their product surfaces.
• Mentor iOS developers across the company.
• Be the go-to person for developers on complex problems in iOS development.

Client Account Manager, Large Customer Sales

Director, Ads Product Legal

Senior Staff Machine Learning Engineer, Feed Relevance

Senior Software Engineer, Compute Platform

Staff Software Engineer, Community Builders

Senior Group Product Manager, Advertiser Optimization – Ads Marketplace

Staff Data Scientist, Marketing

FP&A Manager

iOS Software Engineer

Senior Machine Learning Engineer, GenAI Security

iOS Software Engineer

Staff Machine Learning Engineer, AI Serving

Staff Machine Learning Engineer, Ads Measurement Modeling

Senior Content Designer

Principal Engineer, iOS Performance