Top Tech Jobs & Startup Jobs in Los Angeles, CA

Provides legal strategy and counsel for Snap’s global music licensing and partnership initiatives. Negotiates complex agreements with labels, publishers, performance rights organizations, collecting societies, vendors, and other rights holders. Advises product and business teams on copyright, music rights, generative AI, privacy, compliance, disputes, and risk mitigation. Supports commercial transactions, emerging product features, outside counsel, and junior lawyer development.

Leads strategy, roadmap, and execution for Spotlight monetization and ad marketplace growth. Owns inventory expansion, advertiser demand, auction health, yield, measurement, and revenue outcomes. Partners with Product, Engineering, Data Science, Design, Partnerships, Sales, and content teams to translate consumer and content changes into marketplace requirements. Defines metrics, runs experiments, manages trade-offs, and communicates recommendations to executives while balancing monetization with user and ecosystem health.

Analyzes data from multiple sources to identify business and advertising performance trends, build dashboards and reports, and deliver actionable recommendations. Partners with account management and cross-functional teams on measurement strategies, product insights, campaign optimization, and revenue-impacting initiatives. Communicates complex analytical findings to technical and non-technical audiences and influences business decisions through data storytelling.

Supports creator and partner programs through scaled support, education, communications, event coordination, budget and payment operations, documentation, and cross-functional workflow management. The role owns operational workstreams, tracks timelines and deliverables, coordinates issue escalations, maintains processes and resources, and identifies opportunities for automation and efficiency improvements across the Partnerships organization.

Lead global content and creative strategy for Snaps Small and Medium Customers marketing. Develop sales enablement materials, on-platform notifications, email and web content, run data-driven tests with Revenue and Data Science, and manage designers, web developers and copywriters to drive engagement and revenue.

Design, implement, operate, and improve highly available backend services and distributed systems at significant scale. Collaborate across teams to deliver product solutions, test and debug code, and promote availability, scalability, operational excellence, security, and cost management. Investigate incidents, provide technical leadership, and use AI-assisted engineering workflows while maintaining production-quality standards.

Leads experimentation, causal inference, advanced statistical analysis, machine learning, and scalable data-product development. Partners with product, engineering, and research teams to generate insights, identify opportunities, influence executive decisions, and shape product strategy. Owns cross-functional projects, analytics roadmaps, reporting, stakeholder adoption, and methodological standards while translating complex data into actionable business outcomes.

Build and optimize Snap’s machine learning infrastructure, including scalable training, evaluation, inference, feature serving, data management, vector search, and model deployment systems. Improve reliability, performance, and cost efficiency for large-scale ML workloads while collaborating with ML engineers. The role requires strong programming, distributed systems, big data, cloud infrastructure, and production machine learning experience.

Leads business intelligence and analytics engineering initiatives for Snap’s People Team. Designs scalable data pipelines, models, data products, dashboards, and self-service analytics solutions. Translates business needs into technical requirements, conducts statistical analysis, improves data quality and operational reliability, and delivers actionable insights. Owns systems end to end while mentoring team members and communicating effectively with executives, business partners, analysts, and technical teams.

Designs and hardens on-device security for Specs, including access control, secure IPC, sandboxing, trusted execution, cryptography, and platform protection. Develops privacy and security controls for on-device AI, protects sensitive data and model integrity, and secures OS, firmware, applications, services, sensors, and cloud-connected surfaces. Improves fuzzing infrastructure, automated security testing, threat modeling, vulnerability assessment, code review, and continuous validation across embedded and AI/ML system boundaries.