The Principal Software Engineer will design and implement systems for the advertiser experiences at Snap, lead technical vision, mentor engineers, and innovate on creator marketplace products.

Oversee compliance investigations, case management, reporting, and support for the ethics program while collaborating with various stakeholders.

The Staff Product Manager will lead SEO growth by developing product vision and implementing strategies to enhance organic traffic and user engagement. This includes managing cross-functional teams, analyzing data, and driving measurable results.

Manage and mentor a backend and full-stack development team, set strategic goals, evaluate technical decisions, and collaborate with various stakeholders.

As a Systems Engineer at Snap Inc., you will focus on maintaining and improving corporate IT infrastructure, develop solutions for various technology ecosystems, and collaborate with cross-functional teams on system design and automation efforts.

Lead the Application Security team, overseeing security initiatives, risk management, secure design practices, and development of high-caliber security professionals.

As a Staff Software Engineer, you'll design and operate scalable backend services, collaborate across teams, and ensure high system availability.

The Staff Software Engineer will design and implement backend services for Snap's Growth Notifications, focusing on scalability, reliability, and technical direction. Responsibilities include owning system architecture and collaborating on cross-functional initiatives.

Manage and mentor a team of engineers, optimize auction dynamics, collaborate across teams to translate business needs into algorithmic requirements, and evaluate technical tradeoffs.

Design, implement, and operate security controls for corporate devices, applications, and cloud infrastructure. Build detection, logging, and alerting; investigate and respond to incidents; develop threat models and automation in Python/Go; perform security reviews and partner on IAM/SSO and threat intelligence.

Lead and conduct workplace investigations, manage reasonable accommodation requests, support policy and handbook updates, deliver anti-harassment and regulatory training, track ER metrics, analyze trends and recommendations, and proactively support employee relations programs across Snap.

Lead the technical roadmap for the Ad Marketplace, design and optimize machine learning models, and collaborate with teams to meet objectives.

Lead definition and execution of AI-powered sales tooling and automation. Partner with sales, ops, engineering, and data teams to translate business needs into technical requirements, build solutions within Salesforce and other platforms, drive adoption through testing, training, and change management, and optimize sales productivity and revenue.

The Machine Learning Engineer will build and deploy ML models, applying modern techniques to solve problems and collaborate with teams on ML-driven features.

The Security Engineer designs and implements security controls, conducts assessments, builds automation, investigates incidents, and mentors peers to enhance security posture.

Lead and develop a team of Client Partners to drive revenue growth across a vertical. Build and manage client and agency relationships, set and hold team quotas and KPIs, define measurement strategies, identify vertical trends and growth opportunities, and support sales leadership with quota and account planning.

Lead the development and execution of partner marketing strategies to drive adoption of Snapchat Ads among mid-market advertisers, collaborating with various teams and partners to achieve measurable growth.

The role involves designing and implementing features for Spectacles, collaborating with teams, testing code, and leading projects while ensuring high-quality software development.

Lead the development and scaling of innovative products for Snap's advertising platform, crafting strategies, aligning teams, and enhancing product effectiveness.

As a Machine Learning Engineer, you'll build and deploy models for core products, apply ML techniques to solve problems, and collaborate on features.