Jobs at Snap Inc.

Leads and mentors a product engineering organization, setting technical vision, strategy, roadmaps, and measurable goals. Partners with Product, Design, Data Science, Operations, and Engineering teams to deliver scalable, reliable, secure, privacy-conscious products. Oversees distributed systems and product experiences, drives execution across strategic initiatives, develops engineering talent, hires leaders, and communicates priorities and risks to senior stakeholders.

Lead operational program management for Snap’s Small and Medium Customers organization. Develop scalable operating models, workflows, processes, roadmaps, reporting, and change-management plans. Coordinate cross-functional teams across sales, marketing, data, product, and operations to launch initiatives, improve metrics, resolve dependencies, and scale programs. Standardize program-management practices and use data to drive process improvements, advertiser outcomes, product adoption, and sales execution.

Lead security risk and compliance programs by translating objectives into engineered controls, acceptance criteria, monitoring, and evidence readiness. Evaluate infrastructure and system changes, advise on compliance impacts, coordinate remediation of control deficiencies, and align requirements across NIS2, CCPA, ISO 27001, SOC 2, ISO 42001, and other frameworks. Partner with engineering and business teams to deliver measurable security outcomes.

Build and manage brand and agency partnerships, identify sales opportunities, develop account strategies, present persuasive advertising solutions, educate clients on Snapchat products, analyze campaign performance, and strengthen executive-level client relationships. The role requires collaboration across teams, achievement of sales goals, and travel as needed.

Drives revenue by building strategic partnerships with brands and agencies, developing consultative digital advertising solutions, managing senior client relationships, creating sales presentations, measuring account performance, and leading cross-functional initiatives. The role owns client meeting strategy, educates partners on Snapchat products, develops account growth plans, and mentors junior team members.

Analyze large datasets using quantitative analysis, data mining, statistical modeling, metrics, dashboards, and reports to generate actionable product and business insights. Collaborate with product managers, engineers, marketers, and designers to improve product decisions and adoption. Develop scalable data solutions using AI tools while maintaining statistical rigor, and independently drive analytical projects to completion.

Develop and ship high-performance iOS applications and camera experiences for Snapchat. Responsibilities include designing and implementing tested Objective-C software, launching features, evaluating technical tradeoffs, collaborating with Design, conducting code reviews, and using AI tools while maintaining strong standards for correctness, security, performance, and scalability.

Develop Android features and customer-facing mobile experiences from design through launch. Build smooth, stable, scalable products using Kotlin, Java, RxJava, Dagger, and AI-assisted engineering workflows. Evaluate technical tradeoffs, collaborate with design, conduct code reviews, and uphold standards for correctness, security, performance, and production quality.

Develop and ship high-performance iOS applications for Snapchat’s camera experiences. Responsibilities include designing and implementing Objective-C software, launching features, optimizing performance and multithreading, collaborating with Design, conducting code reviews, and using AI-assisted engineering workflows while maintaining strong security, quality, and architectural standards.

Develop and launch scalable Android features from design through implementation, creating smooth and stable user experiences. Evaluate technical tradeoffs, collaborate with design, conduct code reviews, and maintain high standards for correctness, security, performance, and production readiness. Use Kotlin, Java, RxJava, Dagger, and AI-assisted development tools. The role requires substantial software development experience and Android application expertise.

Build and maintain scalable full-stack web applications and systems for Snap products. Develop user interfaces, optimize performance and browser rendering, contribute to shared libraries, analyze operational metrics, and deliver secure, production-ready code. The role requires strong front-end and back-end development skills, testing knowledge, distributed systems experience, and the ability to use AI tools responsibly in engineering workflows.

Build, deploy, and maintain machine learning models powering Snapchat products at scale. Own the full ML lifecycle from data analysis through production deployment, apply modern ML techniques, and collaborate with cross-functional teams to launch ML-driven features. Use AI tools to develop scalable services while ensuring code correctness, security, performance, and architectural quality. Mentor collaborators and solve ambiguous, large-scale problems.

Design, implement, operate, and scale critical backend services such as identity, social graph, and persistence systems. Collaborate across teams to deliver product solutions, test and debug code, and apply best practices for availability, scalability, security, operational excellence, and cost management. Independently deliver medium-sized features, support incident resolution, and use AI tools responsibly to improve development workflows while maintaining production-quality standards.

Build and deploy machine learning models powering Snapchat products at scale. Own the full ML lifecycle from data analysis through production deployment, apply modern ML techniques, and collaborate with cross-functional teams to launch ML-driven features. Develop scalable, secure, production-ready services using AI-assisted engineering workflows, while contributing to ranking, recommendations, search, content understanding, or image-generation applications.

Build and deploy machine learning models for Snapchat products, contributing across data analysis, training, evaluation, and production deployment. Collaborate with cross-functional teams to launch scalable ML-powered features while maintaining high standards for code quality, security, and reliability. Apply established machine learning techniques to ranking, recommendations, search, content understanding, image generation, and related applications.

Manage and grow client and agency relationships, develop performance-driven Snapchat campaigns, analyze campaign data, optimize performance, and identify upsell opportunities. Educate advertisers on Snap products and best practices, support self-service and auction-based tools, and collaborate cross-functionally on RFPs and complex campaign projects.

Manages and grows senior client and agency relationships for Snapchat advertising. Advises brands on products and campaign best practices, develops digital campaigns, analyzes performance data, optimizes KPIs, identifies upsell opportunities, supports self-service advertising tools, leads cross-functional workstreams, and mentors account team members.

Build scalable backend infrastructure and innovative advertising formats for Snap’s performance advertising platform. Lead end-to-end experimentation, optimization, and delivery of ads products, while ensuring availability, scalability, operational excellence, and cost efficiency. Collaborate across teams to evaluate trade-offs, solve ambiguous problems, provide company-wide technical direction, and mentor engineers. The role requires extensive software development experience, technical leadership, and expertise operating highly available systems at scale.

Own Snapchat Search and its machine learning roadmap, including retrieval, relevance, ranking, evaluation, and content discovery. Define strategy, metrics, experiments, and quality standards while partnering with engineering, design, data science, research, and trust and safety teams. Improve user discovery and connection journeys, communicate priorities and results to leadership, and mentor other product managers.

Leads machine learning and software engineering teams building models, agentic systems, data pipelines, and ML infrastructure for advertising integrity and recommendations. Owns technical strategy, roadmap, model quality, reliability, privacy, and responsible AI. Partners cross-functionally to deliver measurable outcomes, scales LLM-powered ad review, contributes technically, and hires and mentors high-performing engineers.