Snap Inc.

Data Scientist

• Apply quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights
• Drive informed and timely decision-making to improve and optimize how products are created, executed, and adopted
• Collaborate with product managers, engineers, product marketers, and designers
• Use AI tools to develop scalable data solutions efficiently while maintaining accuracy and statistical integrity
• Identify key product trends and new product opportunities through data modeling
• Design, implement, and track core metrics to analyze product performance
• Create visuals, dashboards, and reports to communicate insights effectively
• Initiate and drive projects to completion with minimal guidance

Data Scientist – Level 3

Full-stack Engineer

• Build state-of-the-art mobile and desktop web software applications and/or systems
• Follow high-quality design and implementation practices
• Implement features and user interfaces to optimize performance of user-facing products
• Contribute to Snap’s engineering culture through shared libraries and systems
• Log and analyze operational and engagement metrics
• Use AI tools and high-velocity engineering workflows to design and ship scalable services
• Uphold rigorous standards for code correctness, security, and production-ready quality
• Work together in person through Snap’s “default together” approach

Software Engineer, Full Stack, Level 5

• Create and refine high-performance mobile apps
• Build stable, smoothly running products
• Design, architect, and implement well-tested Objective-C software powering Snapchat camera experiences
• Conceptualize, develop, and launch new features
• Evaluate technical tradeoffs
• Collaborate with the Design team on UI and infrastructure practices
• Conduct code reviews to ensure code quality
• Utilize AI tools and high-velocity engineering workflows to design and ship scalable services
• Uphold standards for code correctness, security, and production-ready quality

Software Engineer, iOS

Engineer

• Develop image signal processing (ISP) pipelines for next-generation computational imaging platforms
• Facilitate cross-functional collaboration across optics, sensors, computer vision, and compute teams
• Influence key architectural decisions and drive consensus on critical trade-offs
• Develop test methodologies and characterization plans for camera ISP performance
• Lead root cause analysis and implement corrective actions for sensor performance issues
• Collaborate with engineering teams, vendors, suppliers, and outside resource management

Computational Imaging Engineer

• Create and refine high-performance mobile apps
• Build stable, smoothly running products
• Design, architect, and implement well-tested Objective-C software powering Snapchat camera experiences
• Conceptualize, develop, and launch new features
• Evaluate technical tradeoffs
• Collaborate with the Design team on UI and infrastructure practices
• Conduct code reviews to guarantee code quality
• Use AI tools and high-velocity engineering workflows to design and ship scalable services while maintaining code correctness, security, and production-ready quality

Android Engineer

• Push the limits of mobile devices and build great user experiences
• Build smooth, stable, and fun products
• Develop features from design through implementation and launch
• Evaluate technical tradeoffs and collaborate with design on UI and infrastructure practices
• Perform code reviews to guarantee code quality
• Use AI tools and high-velocity engineering workflows to design and ship scalable services
• Uphold rigorous standards for code correctness, security, and production-ready quality

Software Engineer, Android, Level 4

• Push the limits of mobile devices and create great user experiences
• Build smooth, stable, and fun products
• Develop features from design through implementation and launch
• Evaluate technical tradeoffs and collaborate with design on UI and infrastructure practices
• Perform code reviews to guarantee code quality
• Use AI tools and high-velocity engineering workflows to design and ship scalable services
• Uphold rigorous standards for code correctness, security, and production-ready quality

Software Engineer, Android – Level 5

• Develop image signal processing (ISP) pipelines for next-generation computational imaging platforms
• Facilitate cross-functional collaboration across optics, sensors, computer vision, and compute teams
• Influence key architectural decisions and drive consensus on critical trade-offs
• Develop test methodologies and characterization plans for camera ISP performance
• Lead root cause analysis and implement corrective actions for sensor performance issues
• Travel up to 15%

Backend Engineer

• Design, implement, and operate critical and scalable services, including user identity services, friend graph, and core persistence layer
• Work across teams to understand product requirements, evaluate trade-offs, and deliver solutions for innovative products
• Evaluate, test, and debug work while maintaining high quality
• Advocate for and apply best practices in availability, scalability, operational excellence, and cost management
• Use AI tools and high-velocity engineering workflows to design and ship scalable services while maintaining code correctness, security, and production-ready quality
• Independently execute medium-sized features over a few weeks and multiple pull requests
• Participate in incident or hotfix investigation and resolution

Software Engineer, Backend – Level 5

Program Manager

• Own end-to-end execution of Snap's compensation planning cycles for base, bonus, and equity
• Develop project plans, track milestones, communicate with stakeholders, ensure system readiness, and conduct post-cycle audits
• Lead compensation programs and projects from design through rollout
• Partner with Finance, Legal, HRBPs, and People Tech on plan changes and tool enhancements
• Project-manage identification and rollout of AI-enabled compensation workflows
• Build enablement resources to support AI adoption
• Analyze competitive cash, equity, and total-rewards trends using Radford, Pave, and Compa
• Inform program design, benchmarking, and pay-positioning recommendations
• Build calculators, FAQs, manager guides, and executive-ready presentations
• Support equity-program operations by drafting FAQs and employee-facing guides
• Drive continuous improvement in equity operations and employee experience

Senior Compensation Program Manager

Sales Operations Manager

• Partner strategically with vertical groups and leaders to provide revenue reporting and insights and improve the Americas LCS business
• Identify business insights using internal and external market intelligence
• Establish and embed critical metrics to guide team behaviors and evaluate progress
• Create strategies and commercial tactics to grow revenue, active customers, product adoption, and sales productivity
• Define actionable execution plans and manage implementation across stakeholders
• Support weekly revenue forecasting and partner with Sales leaders on weekly reporting
• Leverage sales pipeline data and direct sales input to develop review materials and ad hoc analyses
• Drive critical projects and strategic initiatives supporting revenue growth
• Systematize sales-process best practices and improve workflows using AI tools
• Identify Sales team education and tooling needs and collaborate with partners to address them
• Identify market opportunities and gaps to prioritize customer segments

Sales Operations Lead

Machine Learning Engineer

• Build and deploy machine learning models that power core products serving millions of Snapchatters
• Apply modern machine learning techniques to solve large-scale, real-world problems
• Own the full machine learning lifecycle from data analysis to production deployment
• Partner with cross-functional teams to prototype and launch machine-learning-driven features
• Use AI tools and high-velocity engineering workflows to design and ship scalable services
• Uphold rigorous standards for code correctness, security, and production-ready quality

Machine Learning Engineer – Level 4

• Build and deploy machine learning models for core Snapchat products
• Apply established ML techniques to solve well-defined, real-world problems
• Contribute to the ML lifecycle, including data analysis, model training, evaluation, and production deployment
• Collaborate with cross-functional partners and teammates to implement and launch ML-driven features
• Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production-ready quality code

Machine Learning Engineer, Level 3

• Build and deploy machine learning models powering core products and serving millions of Snapchatters
• Apply modern machine learning techniques to large-scale, real-world problems
• Own the full machine learning lifecycle from data analysis through production deployment
• Partner with cross-functional teams to prototype and launch ML-driven features
• Use AI tools to design and ship scalable services while maintaining standards for code correctness, security, and production

Machine Learning Engineer, Level 5

Security Engineer

• Lead Snap's Production Security team and own the security of infrastructure running Snapchat
• Set and drive multi-year technical strategy for production infrastructure security across network perimeter, cloud hardening, workload identity, and CI/CD
• Translate production risk into a prioritized roadmap and balance security outcomes, productivity, and system health
• Oversee development and operation of perimeter, cloud configuration enforcement, service identity, secrets management, and developer-facing security platforms
• Own service reliability, on-call health, customer support, and incident response for production security services
• Drive vulnerability and misconfiguration identification, triage, remediation, and ownership across cloud environments and backend systems
• Oversee platform, backend-service, and business-application security reviews, exception handling, and formal risk acceptance
• Partner with Infrastructure, Developer Productivity, Product Engineering, Detection and Response, and Offensive Security teams
• Guide secure adoption of LLMs, AI tooling, and agentic workloads, focusing on identity, access boundaries, and data protection
• Participate in incident response, red team engagements, quarterly planning, and annual planning
• Recruit, develop, and manage high-caliber security engineers while building security culture across Snap

Data Scientist – Level 3

Software Engineer, Full Stack, Level 5

Software Engineer, iOS

Computational Imaging Engineer

Software Engineer, iOS

Software Engineer, Android, Level 4

Software Engineer, Android – Level 5

Computational Imaging Engineer

Software Engineer, Backend – Level 5

Senior Compensation Program Manager

Sales Operations Lead

Machine Learning Engineer – Level 4

Machine Learning Engineer, Level 3

Machine Learning Engineer, Level 5

Manager, Security Engineering – Production Security