Jobs at Snap Inc.

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.

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.

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.

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.

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.

Leads a team of Client Partners responsible for account growth, client and agency relationships, revenue quotas, KPI-driven measurement strategies, and vertical growth plans. Coaches and develops direct reports, supports quota and account assignments, translates market trends into business opportunities, and drives the sales process from planning through close. The role requires senior-level digital media sales experience, people management, strong client-facing communication, and collaboration across functions.

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.

Lead strategy and execution of sales enablement and marketing content for Snap's Small & Medium Customers. Create messaging, collaborate with Revenue, Product Marketing, Data Science, designers, web developers and copywriters, run tests to optimize engagement and conversions, and support global revenue programs to drive advertiser growth.

Leads large-scale, ambiguous ML platform and infrastructure programs across engineering organizations. Owns program lifecycles, dependencies, roadmaps, technical decisions, reliability, performance, cost optimization, and operational excellence. Uses Python, SQL, dashboards, and automation to analyze systems and guide decisions. Partners with senior engineering and product leaders, drives accountability, mentors junior TPMs and engineers, and improves platform-wide systems and engineering velocity.

Lead research in user modeling and personalization, focusing on generative and language models, recommendation and retrieval systems. Build scalable prototypes, partner with engineering to deploy solutions, mentor junior researchers and interns, and publish work at top conferences.

Lead and conduct workplace investigations, manage reasonable accommodation requests, support policy and handbook updates, deliver anti-harassment and regulatory training, track ER metrics, analyze trends and recommendations, and proactively support employee relations programs across Snap.

Lead and mentor a team of full-stack engineers to define strategy, roadmap, and measurable goals. Collaborate with Product, Data Science, Operations, and executives to deliver scalable, high-availability services. Make technical tradeoffs, hire and retain talent, apply AI tools responsibly, and ensure code correctness, security, and production quality while executing large, complex initiatives.

Lead product development for agency-focused Ads Platform features enabling multi-account management, planning integrations, reporting, and transaction reconciliation. Translate stakeholder input into specs, work with Engineering, Design, and Data Science, and define success metrics to ship scalable agency workflows and integrations.

Lead and scale global revenue-retention initiatives for Snap's Small and Medium Customers. Own strategy, go-to-market roadmaps, KPIs, and cross-functional execution (Product, Engineering, Sales, Marketing, Data). Plan, test, and scale growth programs to increase adoption and retentive revenue while presenting results to senior leadership.