Jobs at Snap Inc.

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.

Leads and mentors software engineering teams while setting technical vision, strategy, roadmaps, and measurable goals. Oversees architecture, development, scaling, and operation of distributed systems and product components. Partners cross-functionally to deliver high-quality products, drive technical execution, improve engineering excellence, and manage availability, performance, privacy, security, and cost. Hires and develops engineering talent and communicates priorities and outcomes to senior stakeholders.

Manages and mentors iOS and Android engineers building Snapchat’s creator experiences. Sets strategy, roadmaps, and measurable goals; partners with Product, Data Science, Operations, executives, and engineering teams; evaluates technical tradeoffs; hires and develops talent; and leads scalable, secure, high-quality delivery. The role also oversees experimentation, observability, incident response, complex cross-team initiatives, and effective use of AI-assisted engineering tools.

Design and scale technical systems supporting advertiser acquisition, activation, retention, and growth. Build orchestration layers integrating CRM, BigQuery, Ads APIs, experimentation infrastructure, personalization, communications, signals, and automation tools. Translate GTM objectives into scalable systems and measurable outcomes while partnering across Sales, Growth, BI, Finance, Product, and Engineering. Recruit and lead technically fluent teams, manage roadmaps, and communicate adoption, ROI, and business impact to executives.

Build and ship automation systems powering Snap’s long-tail advertiser growth across acquisition, activation, retention, and expansion. Integrate CRM, BigQuery, Ads APIs, and other data platforms; develop personalized recommendations and multichannel outreach; automate workflows; and use behavioral and performance data for decisioning. Partner cross-functionally with Product, Engineering, Sales, Finance, and Business Intelligence, while mentoring peers and communicating outcomes to leadership.

Build and deploy automated systems supporting Snap’s long-tail advertiser growth across acquisition, activation, retention, and expansion. Integrate CRM, BigQuery, GCP, Ads APIs, and data platforms to create unified account context, personalization workflows, multi-channel outreach, and decisioning tools. Partner across product, engineering, and sales while driving experimentation, operational efficiency, reusable APIs, and measurable revenue or cost-saving outcomes.

Lead global revenue growth for Snap’s small and medium customer segments. Own retentive revenue goals, develop and scale data-driven go-to-market programs, establish strategic roadmaps, measure KPIs, and influence cross-functional teams across product, engineering, marketing, sales, operations, and analytics. Drive customer adoption, retention, and business growth through experimentation, market insights, stakeholder communication, and product collaboration.

Design and implement logging and alerting systems across endpoints, infrastructure, networks, and cloud environments. Build automation for threat hunting and incident response, investigate and triage security events, lead incident response efforts, and develop threat intelligence on advanced adversary tactics. The role also requires secure, scalable software development using Python or Go and expertise across operating systems, Kubernetes, and cloud platforms.

Leads account-based marketing strategy for Snap’s medium advertiser pipeline. Translates business development goals into MQA and pipeline forecasts, investment recommendations, demand-generation channels, and 1:many, 1:few, and 1:1 ABM programs. Owns experimentation, audience targeting, measurement, attribution, cross-functional execution, BD handoffs, and closed-loop optimization. Accountable for qualified account volume, BD acceptance, meetings, and sourced pipeline outcomes.

Develops and scales technical solutions, APIs, SDKs, and partner-facing tools for complex integrations. Collaborates with Product, Engineering, and Sales to deliver partner solutions, troubleshoot technical issues, optimize performance, and support launch strategies. Uses product usage metrics to identify insights and improve adoption. Requires programming proficiency, experience with RESTful APIs and third-party integrations, strong debugging and analytical skills, and at least two years of software development experience or an equivalent advanced-degree pathway.

Partners with Engineering, Hardware, Revenue, and G&A groups on compensation decisions, offers, promotions, job evaluations, benchmarking, and total rewards. Analyzes market data using compensation tools, develops leader training and communications, and advises HR, recruiting, finance, and executives. Also leads adoption of AI-enabled compensation workflows and resources. Requires 5+ years of technology-company compensation experience, HRIS and market benchmarking expertise, and strong analytical and presentation skills.

Leads third-party advertising measurement strategy, partner governance, benchmarking, meta-analyses, and analytics innovation. Advises senior executives, influences cross-functional roadmaps, develops measurement playbooks, presents industry thought leadership, and builds measurement capabilities across Sales, Product, Marketing, and Partnerships. The role requires advanced statistical and causal inference expertise, hands-on SQL and visualization skills, and more than ten years of advanced analytics and measurement experience.

Lead technical strategy and hands-on development for Snap’s storage, caching, identity, and service infrastructure. Design and operate highly available distributed systems across AWS and GCP, drive multi-quarter initiatives, improve reliability, scalability, performance, cost efficiency, observability, and developer experience, and influence architecture across infrastructure and product teams. Mentor engineers, resolve complex technical challenges, and shape responsible AI applications for platform quality and engineering productivity.

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.

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.

Design and productionize causal machine learning models, including uplift modeling and treatment-effect estimation. Analyze A/B tests and quasi-experiments, develop experimentation strategies, evaluate modeling tradeoffs, and build scalable infrastructure. Collaborate with product and engineering teams, conduct code reviews, maintain engineering standards, communicate technical insights, and mentor others.

Build privacy controls for advertising, measurement, machine-learning, and distributed systems. Conduct privacy reviews, threat modeling, and risk assessments; evaluate privacy-preserving techniques and attack risks; partner with engineering, product, legal, security, and data teams; and develop scalable privacy standards, auditing practices, tools, and documentation.

Troubleshoot and resolve customer-impacting issues across Snap’s advertising platform and mobile app. Analyze product usage, stability, and customer pain points; produce actionable insights; conduct pre-release QA and UAT; maintain bug backlogs; prioritize product improvements; create documentation, training, dashboards, and scalable support tools; and collaborate with Product, Engineering, Marketing, Sales, and Support teams.