Top Tech Jobs & Startup Jobs

The Privacy Program Manager at Snap Inc will oversee the global privacy program, collaborating with various teams to support privacy practices. Responsibilities include managing daily activities, ensuring compliance with privacy policies and regulations, auditing, conducting assessments, and providing training on privacy matters.

As a Group Analyst at Snap Inc., you will enhance campaign performance by analyzing data, identifying trends, and making optimization recommendations. You will collaborate with teams to ensure campaigns run effectively, distill analytical concepts into actionable insights, and build dashboards to track advertiser performance.

As a Manager of Revenue Technical Accounting at Snap Inc, you will lead contract reviews, partner with sales and legal teams to resolve complex issues, optimize accounting processes, and ensure compliance with US GAAP and IFRS. Your role will involve preparing technical memorandums and supporting audits, while implementing process improvements and managing risks.

As a Senior Client Partner at Snap Inc, you will drive revenue by building strategic partnerships with brands and agencies, using a consultative approach to offer media solutions. Your responsibilities include identifying business opportunities, managing multi-projects, and creating sales presentations, while ensuring high-level customer service and mentoring junior team members.

As a Software Engineer focused on iOS at Snap Inc, you will develop high-performance mobile apps, implement well-tested Objective-C software, launch new features, evaluate technical tradeoffs, and collaborate with the Design team to enhance UI and infrastructure practices. You will also conduct code reviews to ensure code quality and stability.

The Marketing Science Lead will drive performance improvement for key advertisers through strategies like experimental design and causal analytics. This role involves developing measurement strategies, leading research efforts, and collaborating with cross-functional teams to enhance products and insights for the ads platform.

As a Machine Learning Engineer, you will create and adapt models using LLMs for diverse challenges, promote new features, evaluate technical tradeoffs, conduct code reviews, and contribute to building scalable and robust products, focusing on high code quality.