Top Tech Jobs & Startup Jobs

Lead product-focused quantitative analyses and machine learning efforts to generate actionable insights, drive product decisions, and optimize features. Collaborate with cross-functional teams to design metrics, build scalable statistical solutions, create dashboards, and communicate findings while using AI tools responsibly.

Perform quantitative analysis, data mining, and statistical modeling to generate actionable product and business insights. Design and track core metrics, build dashboards and visuals, collaborate with cross-functional teams, use AI tools to scale analyses, and drive projects to completion to inform product decisions.

Design, develop, and support AR engine and Lens Studio features for Snapchat and Specs. Build agentic development workflows and tooling, contribute to architecture and technical roadmaps, participate in reviews, and collaborate cross-functionally. Improve code quality, reliability, performance, security, maintainability, and developer productivity while integrating AI-assisted and agentic capabilities into software systems.

Reviews publicly distributed Snapchat content for compliance with recommendation guidelines, community standards, and product policies. Conducts quality audits, analyzes data and trends, supports policy and tooling improvements, manages moderation initiatives, partners with vendors, and advises internal teams on culturally and regionally nuanced content risks.

Art Director supporting Snap’s SPECS Marketing team, developing visual concepts, campaign platforms, design systems, and production-ready assets. The role spans brand, product, digital, social, web, and experiential work, including directing photography and film productions. Responsibilities include building decks and treatments, presenting concepts, collaborating with creative partners, managing production workflows, and maintaining high creative standards across multiple projects. Hands-on proficiency in Figma and Adobe Creative Suite is required.

Conduct research in user modeling and personalization, including graph modeling, generative recommendation, personalization, and ML efficiency. Lead research projects, build scalable prototypes, evaluate large-scale machine learning systems, and publish findings at top conferences. The role also involves mentoring interns and junior researchers and translating advanced research into product improvements.

Develop and productionize generative AI products and augmented reality Lenses focused on image and video generation, editing, and LLMs. Build diffusion and flow-matching pipelines, evaluate open-source models and third-party APIs, and rapidly ship consumer-facing solutions. Collaborate with Product, Engineering, Lens Content, and Data Science teams to prototype, integrate, monitor, and improve models using A/B testing and user feedback. Lead complex technical initiatives while staying current with machine learning research.

Manages strategic relationships and drives advertising revenue from large CPG clients and agency partners. Responsibilities include identifying opportunities, exceeding sales goals, presenting business reviews, educating clients on Snapchat solutions, analyzing campaign performance, improving account strategies, and coordinating cross-functional initiatives. The role requires senior stakeholder engagement, strong digital marketing knowledge, persuasive communication, and ownership of client relationship health and growth.

Lead the technical direction, architecture, and operation of Snap’s omnichannel notification platform. Design scalable, highly available backend services, shared APIs, data models, orchestration, ranking, targeting, experimentation, and measurement systems. Drive cross-functional initiatives, improve reliability and observability, respond to incidents, develop technical roadmaps, mentor engineers, and influence architecture across teams.

Build and optimize large-scale machine learning infrastructure for content retrieval and recommendation. Responsibilities include developing feature generation and serving pipelines, high-performance inference systems, cloud-based training and evaluation infrastructure, and data management systems. The role partners with ML engineers to deploy models, improve reliability and efficiency, and operate highly available distributed systems using Java, Go, C++, and Python.