Snap Inc.

Machine Learning Engineer

• Oversee technical strategy and architecture in ML Inference Platform services
• Design, implement, and scale critical engineering components and services to support ML inference and deployment
• Work across teams to understand product requirements, evaluate trade-offs, and deliver solutions for innovative products or services
• Advocate for best practices in availability, scalability, operational excellence, and cost management
• Provide technical direction that influences the entire company
• Promote product excellence and collaboration across concurrent engineering projects, from short-term feature launches to long-term research initiatives

Principal Software Engineer, Machine Learning Infrastructure

Product Marketing

• Define and evolve the long-term vision for acquisition, activation, retention, and growth across Snap’s advertisers
• Architect the orchestration layer connecting CRM, BigQuery, Ads APIs, and other data platforms to enable unified account context and cross-system coordination
• Leverage experimentation infrastructure to run, measure, and learn from tests rapidly, safely, and at scale
• Build the personalization backbone that delivers relevant product recommendations, optimizations, and workflows to advertisers at the right moment
• Develop a multichannel communications engine coordinating contextual outreach across in-product, email, and partner surfaces
• Establish a unified signals foundation combining behavioral, contextual, and performance data for personalization, targeting, and decisioning
• Drive operational excellence through automation by building tools, APIs, and reusable triggers
• Serve as the technical bridge across Sales, Growth, Business Intelligence, Finance, Product, and Engineering
• Recruit, coach, and scale a team of technically fluent builders
• Present roadmap, adoption, and business outcomes to executive stakeholders and iterate based on outcomes and ROI

Senior Manager, GTM Architect

Engineering Manager

• Lead, coach, and grow a high-performing team working on safety- and security-critical mobile client systems
• Set technical direction and execution priorities across account integrity, authentication, reporting, and compliance initiatives
• Drive delivery on complex, high-urgency projects with multiple stakeholders and shifting requirements
• Partner with Product, Design, Legal, Trust & Safety, backend engineering, and adjacent client teams
• Raise engineering quality, operational excellence, and technical decision-making standards
• Build a healthy team environment with clear expectations, accountability, and career-growth support
• Hire and onboard engineering talent while developing senior individual contributors and technical leaders
• Balance near-term execution with long-term platform investments that improve leverage, quality, and velocity
• Use AI tools and high-velocity engineering workflows to design and ship scalable services with rigorous code correctness, security, and production-readiness standards
• Develop and maintain client-side technology for account security, user authentication, and regulatory compliance throughout Snapchat

Manager, Software Engineering, Safety Engineering, Mobile Client

• Own specific segments or workflows within the full-funnel strategy for long-tail advertisers
• Spearhead projects end-to-end
• Build and ship systems integrating CRM, BigQuery, Ads APIs, and other data platforms
• Enable unified account context and cross-system coordination
• Build personalization workflows for product recommendations, optimizations, and advertiser triggers
• Develop multi-channel outreach across in-product, email, and partner surfaces
• Combine behavioral, contextual, and performance data for personalization, targeting, and decisioning
• Automate operations, remove manual work, build reusable tools and APIs, and accelerate decision-making
• Identify efficiencies and links across initiatives and prioritize tradeoffs with limited guidance
• Communicate progress, tradeoffs, and outcomes to leadership and stakeholders
• Collaborate end-to-end across product, engineering, and sales

Senior Specialist, SMC GTM Architect

• Own specific segments or workflows within the full-funnel strategy for long-tail advertisers
• Conceptualize and spearhead projects end-to-end
• Build and ship systems integrating CRM, BigQuery, Ads APIs, and other data platforms
• Build personalization workflows delivering product recommendations, optimizations, and triggers to advertisers
• Develop multi-channel outreach across in-product, email, and partner surfaces
• Combine behavioral, contextual, and performance data for personalization, targeting, and decisioning
• Automate operations, remove manual work, build reusable tools and APIs, and accelerate decision-making
• Identify efficiencies and links across initiatives and prioritize tradeoffs with limited guidance
• Collaborate with Sales, Revenue/Advertiser Growth, Business Intelligence, Finance, Product, and Engineering
• Mentor peers and contribute to team standards, best practices, and culture
• Communicate progress, tradeoffs, and outcomes to leadership and stakeholders

Principal Software Engineer, Machine Learning Infrastructure

Senior Manager, GTM Architect

Manager, Software Engineering, Safety Engineering, Mobile Client

Senior Specialist, SMC GTM Architect

Lead, SMC GTM Architect